From eee22d12b593982b8ef1c1a44cb117a3caca8d7d Mon Sep 17 00:00:00 2001
From: Simon Ibssa <ibssasimon@gmail.com>
Date: Sun, 24 Nov 2019 14:03:15 -0800
Subject: [PATCH 001/272] created function that answers when I can take X
 course

---
 db_wrapper.py | 32 ++++++++++++++++++++++++++++++--
 1 file changed, 30 insertions(+), 2 deletions(-)

diff --git a/db_wrapper.py b/db_wrapper.py
index 3239757..0e79205 100755
--- a/db_wrapper.py
+++ b/db_wrapper.py
@@ -85,6 +85,34 @@ def what_courses_can_i_take(cxn):
     return [x[0] for x in tups]
 
 
+def courses_offered(cxn, course):
+    """ Answers the question of when can I take "X"course?
+        
+    Args: 
+        cxn: MySQL database connection object
+        course: the course user wants terms from. Expected format is string
+        "department courseNum"
+    Returns:
+        A list including courseName and a set of terms offered for specified course
+    """
+    c = cxn.cursor()
+
+    c.execute("use dev")
+
+    query = "SELECT courseName, termsOffered from Courses where courseName like \"%"
+    query += course + "%\""
+
+    print(query)
+    c.execute(query)
+    tups = c.fetchall()
+
+    c.close()
+
+    return tups
+
+
+
+
 if __name__ == "__main__":
     cxn = connect()
 
@@ -101,6 +129,6 @@ def what_courses_can_i_take(cxn):
 
     print("getting tables...", get_tables(cxn, 'dev'))
 
-    print(what_courses_can_i_take(cxn))
+    print(courses_offered(cxn, "CSC 357"))
 
-    cxn.close()
\ No newline at end of file
+    cxn.close()

From d2ce807fc12f0aee999d41c066ff6ee145894e80 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Sun, 24 Nov 2019 14:16:17 -0800
Subject: [PATCH 002/272] Update README.md

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 468b683..7300269 100644
--- a/README.md
+++ b/README.md
@@ -13,4 +13,6 @@ Also a REST API soon.
 
 [Steven Bradley](github.com/stbradle)
 
-[Daniel DeFoe](github.com/danield2255)
\ No newline at end of file
+[Daniel DeFoe](github.com/danield2255)
+
+[Simon Ibssa](github.com/ibssasimon)

From 42d7136c816575d27e649c62a09714db3e24a072 Mon Sep 17 00:00:00 2001
From: danield2255 <danield2255@gmail.com>
Date: Sun, 8 Dec 2019 07:39:39 -0800
Subject: [PATCH 003/272] does prof teach question

---
 db_wrapper.py | 42 +++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 41 insertions(+), 1 deletion(-)

diff --git a/db_wrapper.py b/db_wrapper.py
index 0e79205..dd816a8 100755
--- a/db_wrapper.py
+++ b/db_wrapper.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 import mysql.connector as m
 from os.path import join
-from db_config import CONFIG
+from db_config_sample import CONFIG
 import time
 
 def connect():
@@ -111,6 +111,44 @@ def courses_offered(cxn, course):
     return tups
 
 
+def does_professor_teach_course(cxn, profLastName, profFirstName, course):
+    """ Answers the question of 'Does [Professor] teach [Course]'?
+        
+    Args: 
+        cxn: MySQL database connection object
+        prof: the name of the professor. If first and last name expressed, otherwise, last name 
+        will be used alone
+        course: the course user wants terms from. Expected format is string
+        "department courseNum"
+    Returns:
+        A boolean
+    """
+    c = cxn.cursor()
+
+    c.execute("use dev")
+
+
+    query = "SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like \"%"
+    query += profLastName + "%\""
+
+    #this can be an article of discussion for matching professor names
+    if profFirstName != "":
+        query += " and p.firstName likel \"%"
+        query += profFirstName + "%\""
+
+    query += " and courseName like \"%"
+    query += course + "%\""
+
+    print(query)
+    c.execute(query)
+    tups = c.fetchall()
+
+    c.close()
+    if len(tups) == 0:
+        return False
+    return True
+
+
 
 
 if __name__ == "__main__":
@@ -131,4 +169,6 @@ def courses_offered(cxn, course):
 
     print(courses_offered(cxn, "CSC 357"))
 
+    print(does_professor_teach_course(cxn, "Kearns", "", "CSC 349"))
+
     cxn.close()

From e7dd96947187ee20cec15b87382e3cfe26204f4f Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Sun, 8 Dec 2019 12:07:50 -0800
Subject: [PATCH 004/272] fix the links

---
 README.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index 7300269..6070a89 100644
--- a/README.md
+++ b/README.md
@@ -3,16 +3,16 @@
 Python wrapper for MySQL database. 
 Also a REST API soon. 
 
-[Michael Fekadu](github.com/mfekadu)
+[Michael Fekadu](https://www.github.com/mfekadu)
 
-[Tyler Campanile](github.com/tecampani)
+[Tyler Campanile](https://www.github.com/tecampani)
 
-[Ben Dahlgren](github.com/Dahlgreb)
+[Ben Dahlgren](https://www.github.com/Dahlgreb)
 
-[Kush Upadhyay](github.com/kpu-21)
+[Kush Upadhyay](https://www.github.com/kpu-21)
 
-[Steven Bradley](github.com/stbradle)
+[Steven Bradley](https://www.github.com/stbradle)
 
-[Daniel DeFoe](github.com/danield2255)
+[Daniel DeFoe](https://www.github.com/danield2255)
 
-[Simon Ibssa](github.com/ibssasimon)
+[Simon Ibssa](https://www.github.com/ibssasimon)

From 09c96a3c52822724fd9fd5f89035254e1385aaf6 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sat, 21 Dec 2019 12:54:02 -0800
Subject: [PATCH 005/272] Sets up a simple hello world

---
 .gitignore          |   1 +
 config.json         |   9 ++++
 database_wrapper.py | 110 ++++++++++++++++++++++++++++++++++++++++++++
 db_config_sample.py |   8 ----
 flask_demo.py       |  22 +++++++++
 5 files changed, 142 insertions(+), 8 deletions(-)
 create mode 100644 config.json
 create mode 100644 database_wrapper.py
 delete mode 100644 db_config_sample.py
 create mode 100644 flask_demo.py

diff --git a/.gitignore b/.gitignore
index 2ee68c2..8d0592e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -106,3 +106,4 @@ venv.bak/
 .api.py
 .db_config.py
 db_config.py
+.vscode/settings.json
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..f0bd1d7
--- /dev/null
+++ b/config.json
@@ -0,0 +1,9 @@
+{
+    "mysql": {
+        "host": "HOSTNAME",
+        "user": "USERNAME",
+        "password": "PASSWORD",
+        "sql_dir": "sql",
+        "create_file": "csai_nov_8_2019_create_script.min.sql"
+    }
+}
diff --git a/database_wrapper.py b/database_wrapper.py
new file mode 100644
index 0000000..05075f0
--- /dev/null
+++ b/database_wrapper.py
@@ -0,0 +1,110 @@
+"""A wrapper module for the Nimbus data storage systems.
+
+This module includes various adapters for interfacing with
+different databases and storage locations.
+
+    Typical usage example:
+
+    connection = connect_to_mysql('config.json')
+    bar = foo.FunctionBar()
+"""
+#!/usr/bin/env python3
+import mysql.connector
+import json
+
+MYSQL_TYPE = mysql.connector.connection_cext.CMySQLConnection
+
+
+class MySQLAdapter:
+    """An adapter for mysql-connector-python to fit our program.
+
+    The MySQLAdapter makes the mysql-connector-python interface
+    compatible with the our program's interface.
+
+    Attributes:
+        connection: The mysql-connector-python connection object.
+        database: the database to execute queries on.
+    """
+
+    def __init__(self,
+                 mysql_connection_object: MYSQL_TYPE,
+                 database: str) -> None:
+        """Inits MySQLAdapter with mysql_connection_object.
+
+        Args:
+            mysql_connection_object: object representing a mysql connection.
+            database: the database to execute queries on.
+
+        Returns:
+            None
+        """
+        self.connection = mysql_connection_object
+        self.database = database
+
+    def get_entities(self) -> str:
+        """Yields a list of all entities in the database."""
+        cursor = self.connection.cursor()
+        cursor.execute('use {}'.format(self.database))
+        cursor.execute('show tables')
+        # `fetchall` returns a list of single element tuples
+        tups = cursor.fetchall()
+        cursor.close()
+        for x in tups:
+            yield x[0]
+
+    def get_relationships(self) -> str:
+        """Returns a list of all relationships between entities in database."""
+        pass
+
+
+class UnsupportedDatabaseError(Exception):
+    """Raised when operation tries to connect to an unsupported database type.
+
+    Attributes:
+        message: an explanation of why the expected database is unsupported.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+def connect(database_type: str = 'mysql', config_file: str = 'config.json'):
+    """Returns the connection object after connecting to a database
+
+    Args:
+        database_type: An optional variable for choosing the database. (default=420)
+        config_file: the filename string of the config file. (default=
+
+    Returns:
+        a connection object
+    """
+    if database_type:
+        return connect_to_mysql(config_file)
+    else:
+        return None  # ???
+
+
+def connect_to_mysql(config_file):
+    """Connect to a MySQL database given a configuration file in JSON format.
+
+    Args:
+        config_file: the config.JSON filename with a "mysql" key.
+
+    Returns:
+        the mysql-connector-python connection object
+
+    Raises:
+        UnsupportedDatabaseError: If an unknown database type found.
+    """
+    with open(config_file) as json_data_file:
+        config = json.load(json_data_file)
+
+    if config.get('mysql', False):
+        mysql_config = config['mysql']
+        return mysql.connector.connect(
+            host=mysql_config['host'],
+            user=mysql_config['user'],
+            passwd=mysql_config['password']
+        )
+    else:
+        raise UnsupportedDatabaseError("sorry, idk this database type.")
diff --git a/db_config_sample.py b/db_config_sample.py
deleted file mode 100644
index 96995de..0000000
--- a/db_config_sample.py
+++ /dev/null
@@ -1,8 +0,0 @@
-# global dictionary should be a secret file
-CONFIG = {
-    'host': '<DB_IP_ADDRESS>',
-    'user': 'username',
-    'password': 'password',
-    'sql_dir': 'sql',
-    'create_file': 'csai_nov_8_2019_create_script.min.sql'
-}
diff --git a/flask_demo.py b/flask_demo.py
new file mode 100644
index 0000000..0b068e5
--- /dev/null
+++ b/flask_demo.py
@@ -0,0 +1,22 @@
+from flask import Flask, jsonify, request
+
+DEBUG = True
+
+app = Flask(__name__)
+
+@app.route('/', methods=['GET', 'POST'])
+def hello():
+    if (request.method == 'POST'):
+        request_body = request.get_json()
+        return jsonify({'you sent': request_body})
+    else:
+        response_code = 42
+        response_json = jsonify({'name': 'hello {}'.format(str(app))})
+        return response_json, response_code
+
+@app.route('/times10/<int:num>', methods=['GET'])
+def get_times10(num):
+    return jsonify({'result': num*10})
+
+if __name__ == '__main__':
+    app.run(debug=DEBUG)

From bc2aa5380109b74190d04b762f1d15074acc2e44 Mon Sep 17 00:00:00 2001
From: mfekadu <mike.fekadu@gmail.com>
Date: Sat, 21 Dec 2019 22:15:15 +0000
Subject: [PATCH 006/272] Adds the audio file saving endpoint to the API.

Co-Authored-By: John Waidhofer <waidhoferj@users.noreply.github.com>
Co-Authored-By: Adam Perlin <adamperlin@users.noreply.github.com>
---
 flask_api.py  | 75 +++++++++++++++++++++++++++++++++++++++++++++++++++
 flask_demo.py | 22 ---------------
 2 files changed, 75 insertions(+), 22 deletions(-)
 create mode 100644 flask_api.py
 delete mode 100644 flask_demo.py

diff --git a/flask_api.py b/flask_api.py
new file mode 100644
index 0000000..625f078
--- /dev/null
+++ b/flask_api.py
@@ -0,0 +1,75 @@
+"""An API endpoint module.
+
+Contains all the handlers for the API. Also the main code to run Flask.
+"""
+from flask import Flask, jsonify, request
+
+DEBUG = True
+
+app = Flask(__name__)
+
+@app.route('/', methods=['GET', 'POST'])
+def hello():
+    if (request.method == 'POST'):
+        request_body = request.get_json()
+        return jsonify({'you sent': request_body})
+    else:
+        response_code = 42
+        response_json = jsonify({'name': 'hello {}'.format(str(app))})
+        return response_json, response_code
+
+
+@app.route('/examples/wakeword', methods=['POST'])
+def save_a_recording():
+    """Given the audio metadata & audio file, resamples it, saves to storage.
+
+    Resamples for the AI model. Saves to Google Drive. The audio is a 
+    binary BLOB with a (wrapper?). The request JSON should include a 
+    field representing WakeWord or NotWakeWord. Audio file size expected
+    to be around 76 KB.
+
+    Example:
+    {
+        'isWakeWord': True,
+        'firstName': "john",
+        'lastName': "doe",
+        'gender': "m", // enum('m', 'f') // male, female
+        'noiseLevel': "m", // enum('q','m','l') // quiet, medium, loud
+        'location': "here",
+        'tone': "serious",
+        // TODO: consider an optional description
+    }
+
+    Returns:
+        200 success
+        TODO: figure out the non-success http status code
+    """
+    return jsonify({'implemented': False}), 400
+
+
+def create_filename():
+    """Creates a string filename that adheres to the Nimbus foramtting standard."""
+    pass
+
+
+def resample_audio():
+    """Resample the audio file to adhere to the Nimbus audio sampling standard."""
+    pass
+
+
+def save_audiofile():
+    """Actually save the file into Google Drive or whereever we may do it."""
+    pass
+
+
+def convert_to_mfcc():
+    """Get this function from https://github.com/calpoly-csai/CSAI_Voice_Assistant"""
+    pass
+
+
+@app.route('/times10/<int:num>', methods=['GET'])
+def get_times10(num):
+    return jsonify({'result': num*10})
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', debug=DEBUG)
diff --git a/flask_demo.py b/flask_demo.py
deleted file mode 100644
index 0b068e5..0000000
--- a/flask_demo.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from flask import Flask, jsonify, request
-
-DEBUG = True
-
-app = Flask(__name__)
-
-@app.route('/', methods=['GET', 'POST'])
-def hello():
-    if (request.method == 'POST'):
-        request_body = request.get_json()
-        return jsonify({'you sent': request_body})
-    else:
-        response_code = 42
-        response_json = jsonify({'name': 'hello {}'.format(str(app))})
-        return response_json, response_code
-
-@app.route('/times10/<int:num>', methods=['GET'])
-def get_times10(num):
-    return jsonify({'result': num*10})
-
-if __name__ == '__main__':
-    app.run(debug=DEBUG)

From b197c6d55c9db434770d1d8b9f4459b95b0a070f Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 22 Dec 2019 22:26:55 -0800
Subject: [PATCH 007/272] Fixes #5: wrote filename function

---
 flask_api.py | 53 +++++++++++++++++++++++++++++++++++++++++++---------
 1 file changed, 44 insertions(+), 9 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 625f078..75d2417 100644
--- a/flask_api.py
+++ b/flask_api.py
@@ -2,11 +2,19 @@
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
+import time
 from flask import Flask, jsonify, request
+from flask_cors import CORS
+from modules.validators import WakeWordValidator
+from modules.formatters import WakeWordFormatter
 
+BAD_REQUEST = 400
+SUCCESS = 200
 DEBUG = True
 
 app = Flask(__name__)
+CORS(app)
+
 
 @app.route('/', methods=['GET', 'POST'])
 def hello():
@@ -23,8 +31,8 @@ def hello():
 def save_a_recording():
     """Given the audio metadata & audio file, resamples it, saves to storage.
 
-    Resamples for the AI model. Saves to Google Drive. The audio is a 
-    binary BLOB with a (wrapper?). The request JSON should include a 
+    Resamples for the AI model. Saves to Google Drive. The audio is a
+    binary BLOB with a (wrapper?). The request JSON should include a
     field representing WakeWord or NotWakeWord. Audio file size expected
     to be around 76 KB.
 
@@ -38,18 +46,44 @@ def save_a_recording():
         'location': "here",
         'tone': "serious",
         // TODO: consider an optional description
+        'timestamp': '1577077883' //integer seconds since epoch
+        'username' : 'ewenike'
+
     }
 
     Returns:
-        200 success
-        TODO: figure out the non-success http status code
+        HTTP status code
     """
-    return jsonify({'implemented': False}), 400
-
-
-def create_filename():
+    validator = WakeWordValidator()
+    formatter = WakeWordFormatter()
+    data = request.form
+    issues = validator.validate(data)
+    if issues:
+        try:
+            data = validator.fix(data, issues)
+        except ValueError as err:
+            return str(err), BAD_REQUEST
+    formatted_data = formatter.format(data)
+    filename = create_filename(formatted_data)
+    return filename
+
+
+def create_filename(form):
     """Creates a string filename that adheres to the Nimbus foramtting standard."""
-    pass
+
+    order = [
+        'isWakeWord',
+        'noiseLevel',
+        'tone',
+        'location',
+        'gender',
+        'lastName',
+        'firstName',
+        'timestamp',
+        'username'
+    ]
+    values = list(map(lambda key: str(form[key]), order))
+    return '_'.join(values) + '.wav'
 
 
 def resample_audio():
@@ -71,5 +105,6 @@ def convert_to_mfcc():
 def get_times10(num):
     return jsonify({'result': num*10})
 
+
 if __name__ == '__main__':
     app.run(host='0.0.0.0', debug=DEBUG)

From 91bf763d8f2a93b64e18df4e5ee3b1fec8447361 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 22 Dec 2019 22:27:11 -0800
Subject: [PATCH 008/272] Created WakeWordFormatter

---
 modules/formatters.py | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)
 create mode 100644 modules/formatters.py

diff --git a/modules/formatters.py b/modules/formatters.py
new file mode 100644
index 0000000..e158c6a
--- /dev/null
+++ b/modules/formatters.py
@@ -0,0 +1,28 @@
+
+class Formatter:
+    """Formatter abstract class. Describes contract for all child formatters"""
+
+    def __init__(self):
+        super().__init__()
+
+    def format(self, data):
+        """Creates a copy of data, formats, and returns the formatted data"""
+        return data
+
+
+class WakeWordFormatter(Formatter):
+    """Formats metadata for Wake Word audio"""
+
+    def __init__(self):
+        super().__init__()
+
+    def format(self, data):
+        form = data.copy()
+        for key in form:
+            if key == 'isWakeWord':
+                form[key] = 'ww' if(form[key]) else 'nww'
+            elif key == 'timestamp':
+                form[key] = int(form[key])
+            else:
+                form[key] = form[key].lower().replace(' ', '-')
+        return form

From 12812d322dcbd7cccfb4e7f15d90769cfc11745c Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 22 Dec 2019 22:27:22 -0800
Subject: [PATCH 009/272] created WakeWordValidator

---
 modules/validators.py | 66 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 modules/validators.py

diff --git a/modules/validators.py b/modules/validators.py
new file mode 100644
index 0000000..dc10085
--- /dev/null
+++ b/modules/validators.py
@@ -0,0 +1,66 @@
+import time
+
+
+class Validator:
+
+    def __init__(self):
+        super().__init__()
+
+    def validate(self, data):
+        """Takes in a dictionary of data and returns a dictionary of issues"""
+        return data
+
+    def fix(self, data, issues):
+        """Takes measures to fill in missing data in form, cloning, mutating and then returning the data. If not possible, raises error"""
+        return data
+
+
+class WakeWordValidator(Validator):
+    """Ensures that the form metadata recieved from the REST API for the Wake Word audio is valid."""
+
+    def __init__(self, validators=None):
+        super().__init__()
+        self.validators = validators or {
+            'isWakeWord': lambda val: type(val) == str and (val == 'true' or val == 'false'),
+            'noiseLevel': lambda level: type(level) == str and level in 'qml' and len(level) == 1,
+            'tone': lambda tone: type(tone) == str,
+            'location': lambda location: type(location) == str,
+            'gender': lambda gender: type(gender) == str and gender in 'mf' and len(gender) == 1,
+            'lastName': lambda lastName: type(lastName) == str,
+            'firstName': lambda firstName: type(firstName) == str,
+            'timestamp': lambda timestamp: str.isdigit(timestamp),
+            'username': lambda username: type(username) == str,
+        }
+
+    def validate(self, data):
+        """Checks if the Wake Word audio metadata is complete and in its correct form. Returns array of issues."""
+        issues = {}
+        for key in self.validators:
+            validator = self.validators[key]
+            try:
+                val = data[key]
+            except:
+                issues[key] = 'DNE'
+            if(not validator(val)):
+                issues[key] = 'invalid'
+        return issues
+
+    def fix(self, data, issues):
+        """Attempts to fix Wake Word audio metadata. If the data issue is irreplaceable, raises ValueError"""
+        form = data.copy()
+        for key in issues:
+            issue = issues[key]
+            if(issue == 'DNE'):
+                if(key == 'username'):
+                    form[key] = 'guest'
+                elif(key == 'timestamp'):
+                    form[key] = int(time.time())
+                    print('fixed timestamp', form[key])
+                else:
+                    raise ValueError(
+                        f"Required audio metadata '{key}' was not provided")
+            elif(issue == 'invalid'):
+                # TODO: anticipate invalid entries and correct them.
+                raise ValueError(
+                    f"{key} has invalid value of {form[key]} with a type of {type(form[key])}")
+        return form

From c525120c0fbfd952859f688c1d214c9df21e5e43 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Thu, 9 Jan 2020 16:30:42 -0800
Subject: [PATCH 010/272] Added google drive uploading using pydrive.

---
 flask_api.py | 28 +++++++++++++++++++++++-----
 1 file changed, 23 insertions(+), 5 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 75d2417..57fc36e 100644
--- a/flask_api.py
+++ b/flask_api.py
@@ -7,6 +7,8 @@
 from flask_cors import CORS
 from modules.validators import WakeWordValidator
 from modules.formatters import WakeWordFormatter
+from pydrive.drive import GoogleDrive
+from pydrive.auth import GoogleAuth
 
 BAD_REQUEST = 400
 SUCCESS = 200
@@ -65,6 +67,7 @@ def save_a_recording():
             return str(err), BAD_REQUEST
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
+    save_audiofile(filename, request.files["wav_file"])
     return filename
 
 
@@ -90,11 +93,26 @@ def resample_audio():
     """Resample the audio file to adhere to the Nimbus audio sampling standard."""
     pass
 
-
-def save_audiofile():
-    """Actually save the file into Google Drive or whereever we may do it."""
-    pass
-
+def save_audiofile(filename, content):
+    """Actually save the file into Google Drive."""
+    # Initialize our google drive authentication object using saved credentials,
+    # or through the command line
+    gauth = GoogleAuth()
+    gauth.CommandLineAuth()
+    # This is our pydrive object
+    drive = GoogleDrive(gauth)
+    # parent is our automatically uploaded file folder.  The ID should be read in from
+    # constants.json since we probably shouldn't have that ID floating around on GitHub"""
+    folder_id = get_folder_id()
+    file = drive.CreateFile({"parents": [{"kind": "drive#fileLink",
+    "id": folder_id}], 'title':filename, 'mimeType':'audio/wav'})
+    # Set the content of the file to the POST request's wav_file parameter.
+    file.content = content
+    file.Upload() # Upload file.
+
+def get_folder_id():
+    with open("folder_id.txt") as folder_id_file:
+        return folder_id_file.readline()
 
 def convert_to_mfcc():
     """Get this function from https://github.com/calpoly-csai/CSAI_Voice_Assistant"""

From 61a747492a41af9a2ea8fef0905f514cd0bdebbf Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Thu, 9 Jan 2020 16:32:16 -0800
Subject: [PATCH 011/272] Fixed wording in comment

---
 flask_api.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/flask_api.py b/flask_api.py
index 57fc36e..3373253 100644
--- a/flask_api.py
+++ b/flask_api.py
@@ -102,7 +102,7 @@ def save_audiofile(filename, content):
     # This is our pydrive object
     drive = GoogleDrive(gauth)
     # parent is our automatically uploaded file folder.  The ID should be read in from
-    # constants.json since we probably shouldn't have that ID floating around on GitHub"""
+    # folder_id.txt since we probably shouldn't have that ID floating around on GitHub"""
     folder_id = get_folder_id()
     file = drive.CreateFile({"parents": [{"kind": "drive#fileLink",
     "id": folder_id}], 'title':filename, 'mimeType':'audio/wav'})

From fe10c17393ac39c3611852aa9bca4c9f5f1c4720 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 10 Jan 2020 15:41:48 -0800
Subject: [PATCH 012/272] adds database field to the mysql connection object

---
 config.json | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/config.json b/config.json
index f0bd1d7..e567c7f 100644
--- a/config.json
+++ b/config.json
@@ -3,7 +3,8 @@
         "host": "HOSTNAME",
         "user": "USERNAME",
         "password": "PASSWORD",
+        "database": "DATABASE",
         "sql_dir": "sql",
         "create_file": "csai_nov_8_2019_create_script.min.sql"
     }
-}
+}
\ No newline at end of file

From 8c95475d2aeb8702faeba920868969eb4aec9f6b Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 10 Jan 2020 15:42:33 -0800
Subject: [PATCH 013/272] ignores config.json as it is now final

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 8d0592e..ce33952 100644
--- a/.gitignore
+++ b/.gitignore
@@ -107,3 +107,4 @@ venv.bak/
 .db_config.py
 db_config.py
 .vscode/settings.json
+config.json

From 25fe9ddfc2cd12c6b797971b69623ff6d635fe8c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 10 Jan 2020 18:56:28 -0800
Subject: [PATCH 014/272] adds NimbusDatabase template method w/ MySQL
 implement
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(mf-flask-api) ✗ python3 demo.py
Entites: ['Clubs', 'Corequisites', 'Corrections', 'Courses', 'OfficeHours', 'PolyRatings', 'Prerequisites', 'Professors', 'QuestionAnswerFormats', 'ResearchInterests', 'Sessions', 'ShortNames']
Unique departments?: ['CPE', 'CSC']
How many terms is CSC 100 offered?: 1
database object is being garbage collected...
database connection was closed.
(venv) ➜  api git:(mf-flask-api) ✗

================

https://refactoring.guru/design-patterns/template-method/python/example
---
 database_wrapper.py | 226 +++++++++++++++++++++++++++++++-------------
 demo.py             |  20 ++++
 2 files changed, 180 insertions(+), 66 deletions(-)
 create mode 100644 demo.py

diff --git a/database_wrapper.py b/database_wrapper.py
index 05075f0..cfe5298 100644
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -5,43 +5,143 @@
 
     Typical usage example:
 
-    connection = connect_to_mysql('config.json')
-    bar = foo.FunctionBar()
+    db = NimbusMySQL(config_file="config.json")
+    ents = db.get_entities()
 """
 #!/usr/bin/env python3
 import mysql.connector
+from abc import ABC, abstractmethod
 import json
 
-MYSQL_TYPE = mysql.connector.connection_cext.CMySQLConnection
 
+class UnsupportedDatabaseError(Exception):
+    """Raised when operation tries to connect to an unsupported database type.
+
+    Attributes:
+        message: an explanation of why the expected database is unsupported.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+class BadConfigFileError(Exception):
+    """Raised when the config.json file is badly formatter (e.g missing field).
+
+    Attributes:
+        message: an explanation.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+class NimbusDatabase(ABC):
+    """
+    An abstract class for interacting with the Nimbus database.
+    Concrete subclasses, such as NimbusMySQL,
+    should implement these operations such as `connect`
+    """
+
+    def __init__(self, config_file: str = 'config.json') -> None:
+        """
+        Inits Nimbus Database using the hostname, username, password
+        found inside the config_file.
+        """
+        pass
+
+    @abstractmethod
+    def get_entities(self) -> str:
+        pass
+
+    @abstractmethod
+    def get_unique(self, entity) -> str:
+        pass
+
+    @abstractmethod
+    def get_bitcount(self, entity) -> str:
+        pass
+
+    @abstractmethod
+    def close(self) -> None:
+        """
+        Simple Implementation Example:
+        ```
+        self.connection.close()
+        super().close()
+        ```
+        """
+        print("database connection was closed.")
+        pass
+
+    def __del__(self) -> None:
+        """
+        This method can make sure that the database connection is closed
+        before garbage references are collected.
+
+        There are reasons to not use `__del__`:
+        https://stackoverflow.com/q/1481488
+
+        Example:
+            >>> import database_wrapper
+            >>> db = database_wrapper.NimbusMySQL()
+            >>> del db
+            database object is being garbage collected...
+            database connection was closed.
+        """
+        print("database object is being garbage collected...")
+        self.close()
+        return
 
-class MySQLAdapter:
+
+class NimbusMySQL(NimbusDatabase):
     """An adapter for mysql-connector-python to fit our program.
 
-    The MySQLAdapter makes the mysql-connector-python interface
+    The NimbusMySQL makes the mysql-connector-python interface
     compatible with the our program's interface.
 
     Attributes:
-        connection: The mysql-connector-python connection object.
-        database: the database to execute queries on.
+        config_file: a JSON file with the mysql details.
     """
 
-    def __init__(self,
-                 mysql_connection_object: MYSQL_TYPE,
-                 database: str) -> None:
-        """Inits MySQLAdapter with mysql_connection_object.
+    def __init__(self, config_file: str = 'config.json') -> None:
+        """
+        Inits Nimbus Database using the hostname, username, password
+        found inside the config_file.
 
         Args:
-            mysql_connection_object: object representing a mysql connection.
-            database: the database to execute queries on.
+            config_file: a JSON file with a 'mysql' object that holds
+            the connection details.
 
         Returns:
             None
+
+        Raises:
+            BadConfigFileError: If the config_file fields are unexpected.
         """
-        self.connection = mysql_connection_object
-        self.database = database
+        self.connection = None  # gets set according to config_file
+        self.database = None  # gets set according to config_file
 
-    def get_entities(self) -> str:
+        with open(config_file) as json_data_file:
+            config = json.load(json_data_file)
+
+        if config.get('mysql', False):
+            mysql_config = config['mysql']
+            self.connection = mysql.connector.connect(
+                host=mysql_config['host'],
+                user=mysql_config['user'],
+                passwd=mysql_config['password']
+            )
+
+            self.database = mysql_config['database']
+
+            if self.connection is None or self.database is None:
+                raise BadConfigFileError('failed to connect to MySQL')
+        else:
+            msg = "config.json is missing {} field.".format('mysql')
+            raise BadConfigFileError(msg)
+
+    def yield_entities(self) -> str:
         """Yields a list of all entities in the database."""
         cursor = self.connection.cursor()
         cursor.execute('use {}'.format(self.database))
@@ -52,59 +152,53 @@ def get_entities(self) -> str:
         for x in tups:
             yield x[0]
 
+    def get_entities(self) -> str:
+        """
+        Returns a list of all entities in the database.
+
+        Example:
+        >>> from database_wrapper import NimbusMySQL
+        >>> db = NimbusMySQL()
+        >>> db.get_entities()
+        ['Clubs', 'Corequisites', 'Corrections', 'Courses', 'OfficeHours',
+        'PolyRatings', 'Prerequisites', 'Professors', 'ResearchInterests',
+        'ResponseFormats', 'ShortNames']
+        """
+        cursor = self.connection.cursor()
+        cursor.execute('use `{}`'.format(self.database))
+        cursor.execute('show tables')
+        # `fetchall` returns a list of single element tuples
+        tups = cursor.fetchall()
+        cursor.close()
+        return [x[0] for x in tups]
+
     def get_relationships(self) -> str:
         """Returns a list of all relationships between entities in database."""
         pass
 
+    def get_unique(self, entity, prop) -> str:
+        """
+        """
+        cursor = self.connection.cursor()
+        cursor.execute('use `{}`'.format(self.database))
+        cursor.execute('select distinct({}) from {}'.format(prop, entity))
+        # `fetchall` returns a list of single element tuples
+        tups = cursor.fetchall()
+        cursor.close()
+        return [x[0] for x in tups]
 
-class UnsupportedDatabaseError(Exception):
-    """Raised when operation tries to connect to an unsupported database type.
-
-    Attributes:
-        message: an explanation of why the expected database is unsupported.
-    """
-
-    def __init__(self, message: str):
-        self.message = message
-
-
-def connect(database_type: str = 'mysql', config_file: str = 'config.json'):
-    """Returns the connection object after connecting to a database
-
-    Args:
-        database_type: An optional variable for choosing the database. (default=420)
-        config_file: the filename string of the config file. (default=
-
-    Returns:
-        a connection object
-    """
-    if database_type:
-        return connect_to_mysql(config_file)
-    else:
-        return None  # ???
-
-
-def connect_to_mysql(config_file):
-    """Connect to a MySQL database given a configuration file in JSON format.
-
-    Args:
-        config_file: the config.JSON filename with a "mysql" key.
-
-    Returns:
-        the mysql-connector-python connection object
+    def get_bitcount(self, entity, prop) -> str:
+        """
+        """
+        cursor = self.connection.cursor()
+        cursor.execute('use `{}`'.format(self.database))
+        cursor.execute('select bit_count(`{}`) from `{}`'.format(prop, entity))
+        # `fetchall` returns a list of single element tuples
+        tups = cursor.fetchall()
+        cursor.close()
+        return [x[0] for x in tups]
 
-    Raises:
-        UnsupportedDatabaseError: If an unknown database type found.
-    """
-    with open(config_file) as json_data_file:
-        config = json.load(json_data_file)
-
-    if config.get('mysql', False):
-        mysql_config = config['mysql']
-        return mysql.connector.connect(
-            host=mysql_config['host'],
-            user=mysql_config['user'],
-            passwd=mysql_config['password']
-        )
-    else:
-        raise UnsupportedDatabaseError("sorry, idk this database type.")
+    def close(self) -> None:
+        """Close the database connection"""
+        self.connection.close()
+        super().close()
diff --git a/demo.py b/demo.py
new file mode 100644
index 0000000..a96806b
--- /dev/null
+++ b/demo.py
@@ -0,0 +1,20 @@
+#!/usr/bin/env python3
+from database_wrapper import NimbusMySQL
+
+
+if __name__ == '__main__':
+    db = NimbusMySQL(config_file="config.json")
+
+    ents = db.get_entities()
+
+    print("Entites:", ents)
+
+    uniq_depts = db.get_unique(entity="Courses", prop="dept")
+
+    print("Unique departments?:", uniq_depts)
+
+    bitcounts = db.get_bitcount(
+        entity="Courses",
+        prop="termsOffered")
+
+    print("How many terms is CSC 100 offered?:", bitcounts[0])

From 924d0203735c0fdb0de4733e0ba74db0950964e9 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Sun, 12 Jan 2020 15:33:02 -0800
Subject: [PATCH 015/272] Adds new abstract methods to NimbusDatabase class

Co-Authored-By: Daniel Defoe <danield2255@users.noreply.github.com>
Co-Authored-By: Allen Deng <zpdeng@users.noreply.github.com>
Co-Authored-By: John Waidhofer <waidhoferj@users.noreply.github.com>
---
 database_wrapper.py | 78 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 78 insertions(+)

diff --git a/database_wrapper.py b/database_wrapper.py
index cfe5298..3bd4bca 100644
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -11,6 +11,7 @@
 #!/usr/bin/env python3
 import mysql.connector
 from abc import ABC, abstractmethod
+from typing import Any, Optional
 import json
 
 
@@ -36,6 +37,18 @@ def __init__(self, message: str):
         self.message = message
 
 
+        
+        
+"""
+utilities.py
+"""
+def get_current_time():
+    """
+    Useful for answering questions like "Is prof availible now/tomorrow?"
+    """
+    pass
+        
+
 class NimbusDatabase(ABC):
     """
     An abstract class for interacting with the Nimbus database.
@@ -50,10 +63,75 @@ def __init__(self, config_file: str = 'config.json') -> None:
         """
         pass
 
+    
+    @abstractmethod
+    def get_property_from_entity(self, 
+                                 prop: List[str],
+                                 entity: str, 
+                                 condition_field: Optional[str] = None,
+                                 condition_value: Optional[str] = None) -> List[str]:
+        """A higher-order function to get properties from entity in the database.
+
+        Example:
+        >>> db = NimbusDatabase("config.json")
+        >>> db.get_property_from_entity(["firstName", "lastName"], "Professors")
+        [("Foaad", "Khosmood"), ("John", "Clements"), ...]
+
+        >>> db.get_property_from_entity(["firstName", "lastName"], "Professors", "firstName", "Foaad")
+        [("Foaad", "Khosmood")]
+
+        Args:
+            entity: a string representing a table in the database.
+            prop: string(s) representing a field in the given table.
+            condition_field: (optional) string representing the column name.
+            condition_value: (optional) string representing the cell value.
+
+        Returns:
+            The list of prop of the entity (e.g. firstName of Professor)
+        """
+        pass
+
+    @abstractmethod
+    def get_property_from_related_entities(self,
+                                           prop: List[str],
+                                           entity1: str,
+                                           entity2: str,
+                                           key1: str, 
+                                           key2: Optional[str] = None,
+                                           condition_field: Optional[str] = None,
+                                           condition_value: Optional[str] = None) -> List[str]:
+        """A higher-order function to ????
+
+        Example:
+        >>> db = NimbusDatabase("config.json")
+        >>> db.get_property_from_related_entities(["firstName", "lastName", "ohRoom"], "Professors", "OfficeHours", "professorId")
+        [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]
+
+        >>> db.get_property_from_related_entities(["firstName", "lastName"], "Professors", "OfficeHours", "professorId", "firstName", "Foaad")
+        [("Foaad", "Khosmood", "14-213")]
+
+        Args:
+            entity: TODO
+            prop: TODO
+
+        Returns:
+            TODO
+        """
+        pass
+        
+    
     @abstractmethod
     def get_entities(self) -> str:
         pass
 
+
+    @abstractmethod
+    def get_fields_of_entity(self, entity1: str) -> str:
+        """
+        TODO: given an entity, return all the field names of that table in the database. 
+        """
+        pass
+
     @abstractmethod
     def get_unique(self, entity) -> str:
         pass

From a7fb834029ad98f07b9beeb67a3fc85f6374a39e Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 13 Jan 2020 18:55:07 -0800
Subject: [PATCH 016/272] Renames config file to avoid accidental commits

---
 config.json => config_SAMPLE.json | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename config.json => config_SAMPLE.json (100%)

diff --git a/config.json b/config_SAMPLE.json
similarity index 100%
rename from config.json
rename to config_SAMPLE.json

From 3c464d07779f57d5718a7bf3f257da4dbe2ef784 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Mon, 13 Jan 2020 22:52:29 -0800
Subject: [PATCH 017/272] Update README to better explain everything

useful resources:

** https://www.makeareadme.com **

https://github.com/bbc/REST-API-example/blob/master/README.md
https://gist.github.com/PurpleBooth/109311bb0361f32d87a2
https://github.com/Kaggle/kaggle-api
---
 README.md | 95 +++++++++++++++++++++++++++++++++++++++++++++++++++----
 1 file changed, 88 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index 6070a89..fcd13a2 100644
--- a/README.md
+++ b/README.md
@@ -1,18 +1,99 @@
 # api
 
-Python wrapper for MySQL database. 
-Also a REST API soon. 
+![GitHub repo size](https://img.shields.io/github/repo-size/calpoly-csai/api)
+![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/calpoly-csai/api)
 
-[Michael Fekadu](https://www.github.com/mfekadu)
+![GitHub closed issues](https://img.shields.io/github/issues-closed/calpoly-csai/api)
+![GitHub closed pull requests](https://img.shields.io/github/issues-pr-closed/calpoly-csai/api)
 
-[Tyler Campanile](https://www.github.com/tecampani)
+![Python Version](https://img.shields.io/badge/python-3.6.9-blue)
+![Pip Version](https://img.shields.io/badge/pip-9.0.1-blue)
+![Ubuntu Version](https://img.shields.io/badge/ubuntu-18.04.3%20LTS-blue)
+![MySQL Version](https://img.shields.io/badge/mysql-5.7.28-blue)
+![GitHub Licence](https://img.shields.io/github/license/calpoly-csai/api)
 
-[Ben Dahlgren](https://www.github.com/Dahlgreb)
+Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CSAI_Voice_Assistant) accessible via HTTP REST protocol.
 
-[Kush Upadhyay](https://www.github.com/kpu-21)
+## 🚧 This API is still in-development, so expect the endpoints to be constantly changing until finalized.
 
-[Steven Bradley](https://www.github.com/stbradle)
+## Documentation
+
+- [ ] **TODO: INSERT LINK TO API DOCUMENTATION**
+
+- [ ] **TODO: USE http://readthedocs.org to host the docs live on the internet**
+
+- [ ] **TODO: [CREATE API DOCS 😅](https://github.com/calpoly-csai/api/milestone/2)**
+
+
+## Dev Environment Setup
+### Prerequisites
+1. Python 3.6.9
+
+2. pip 9.0.1
+
+3. (_for deployment_) A Linux server (e.g. Ubuntu 18.04.3 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
+
+4. The _hostname_, _username_, and _password_ of a MySQL database (e.g. MySQL 5.7.28) inputted into `config.json`
+
+
+### Install
+
+```bash
+pip3 install -r requirements.txt
+```
+
+### Run the API server
+
+```bash
+python3 nimbus_api.py
+```
+
+**_Run in the background_**
+```bash
+python3 nimbus_api.py&
+```
+
+### Run the tests
+```bash
+./run-tests.sh
+```
+
+
+## Contributing
+![GitHub issues](https://img.shields.io/github/issues/calpoly-csai/api)
+
+Have a [**look through the open issues**](https://github.com/calpoly-csai/api/issues)! 
+
+If you are new to programming, then filter for the [**![good first issue](https://img.shields.io/github/labels/calpoly-csai/api/good%20first%20issue)** label](https://github.com/calpoly-csai/api/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
+
+Pull requests are welcome. 
+
+For major changes, please [**open an issue**](https://github.com/calpoly-csai/api/issues/new) first to discuss what you would like to change.
+
+Please make sure to update tests as appropriate.
+
+## License
+[GNU GPLv3](https://choosealicense.com/licenses/gpl-3.0/)
+
+
+## Authors and acknowledgment
+
+[Michael Fekadu](https://www.github.com/mfekadu)
+
+[John Waidhofer](https://www.github.com/Waidhoferj)
+
+[Miles Aikens](https://www.github.com/snekiam)
 
 [Daniel DeFoe](https://www.github.com/danield2255)
 
+[Adam Perlin](https://www.github.com/adamperlin)
+
 [Simon Ibssa](https://www.github.com/ibssasimon)
+
+[Kush Upadhyay](https://www.github.com/kpu-21)
+
+[Ben Dahlgren](https://www.github.com/Dahlgreb)
+
+[Tyler Campanile](https://www.github.com/tecampani)
+
+[Steven Bradley](https://www.github.com/stbradle)

From 4f8d57159f7c882de28e635bc05a2aeb599c6f3c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Tue, 14 Jan 2020 06:00:19 -0800
Subject: [PATCH 018/272] Create pythonapp.yml

this is mostly the default python-app workflow from github

https://github.com/actions/starter-workflows/blob/master/ci/python-app.yml

changes made for
* Python 3.6
* including `hypothesis` property-testing package
  * hypothesis.works

Fun Fact
* seems like flake8 does the pep8 linting for us...
  * https://blog.sideci.com/about-style-guide-of-python-and-linter-tool-pep8-pyflakes-flake8-haking-pyling-7fdbe163079d
---
 .github/workflows/pythonapp.yml | 34 +++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100644 .github/workflows/pythonapp.yml

diff --git a/.github/workflows/pythonapp.yml b/.github/workflows/pythonapp.yml
new file mode 100644
index 0000000..e9947b1
--- /dev/null
+++ b/.github/workflows/pythonapp.yml
@@ -0,0 +1,34 @@
+name: Python application
+
+on: [push]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+    - name: Set up Python 3.6
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.6
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+    - name: Lint with flake8
+      run: |
+        pip install flake8
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with just pytest
+      run: |
+        pip install pytest
+        pytest
+    - name: Test with hypothesis
+      run: |
+        pip install hypothesis
+        pytest

From b104fdd649e2172e14aa97f735408bfe3cf26350 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Tue, 14 Jan 2020 06:38:46 -0800
Subject: [PATCH 019/272] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index fcd13a2..ec43a47 100644
--- a/README.md
+++ b/README.md
@@ -55,7 +55,7 @@ python3 nimbus_api.py&
 
 ### Run the tests
 ```bash
-./run-tests.sh
+pytest
 ```
 
 

From 49fdd0959d325494db47c41c54f4b756668401a2 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Tue, 14 Jan 2020 06:44:32 -0800
Subject: [PATCH 020/272] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index ec43a47..a1b98f9 100644
--- a/README.md
+++ b/README.md
@@ -62,7 +62,7 @@ pytest
 ## Contributing
 ![GitHub issues](https://img.shields.io/github/issues/calpoly-csai/api)
 
-Have a [**look through the open issues**](https://github.com/calpoly-csai/api/issues)! 
+Have a [**look at the v1.0 project board for TODOs**](https://github.com/calpoly-csai/api/projects/1)! 
 
 If you are new to programming, then filter for the [**![good first issue](https://img.shields.io/github/labels/calpoly-csai/api/good%20first%20issue)** label](https://github.com/calpoly-csai/api/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
 

From bca03a98e45ac5f7b443e0a3616581764a0ff0fe Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Wed, 15 Jan 2020 07:35:24 -0800
Subject: [PATCH 021/272] Update issue templates

---
 .github/ISSUE_TEMPLATE/bug_report.md      | 38 +++++++++++++++++++++++
 .github/ISSUE_TEMPLATE/custom.md          | 10 ++++++
 .github/ISSUE_TEMPLATE/feature_request.md | 20 ++++++++++++
 3 files changed, 68 insertions(+)
 create mode 100644 .github/ISSUE_TEMPLATE/bug_report.md
 create mode 100644 .github/ISSUE_TEMPLATE/custom.md
 create mode 100644 .github/ISSUE_TEMPLATE/feature_request.md

diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
new file mode 100644
index 0000000..dd84ea7
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -0,0 +1,38 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**To Reproduce**
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+**Expected behavior**
+A clear and concise description of what you expected to happen.
+
+**Screenshots**
+If applicable, add screenshots to help explain your problem.
+
+**Desktop (please complete the following information):**
+ - OS: [e.g. iOS]
+ - Browser [e.g. chrome, safari]
+ - Version [e.g. 22]
+
+**Smartphone (please complete the following information):**
+ - Device: [e.g. iPhone6]
+ - OS: [e.g. iOS8.1]
+ - Browser [e.g. stock browser, safari]
+ - Version [e.g. 22]
+
+**Additional context**
+Add any other context about the problem here.
diff --git a/.github/ISSUE_TEMPLATE/custom.md b/.github/ISSUE_TEMPLATE/custom.md
new file mode 100644
index 0000000..48d5f81
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/custom.md
@@ -0,0 +1,10 @@
+---
+name: Custom issue template
+about: Describe this issue template's purpose here.
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+
diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
new file mode 100644
index 0000000..bbcbbe7
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature_request.md
@@ -0,0 +1,20 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+**Is your feature request related to a problem? Please describe.**
+A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
+
+**Describe the solution you'd like**
+A clear and concise description of what you want to happen.
+
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.

From 2ea295056d1e5b196a26716ae492ce17245178a3 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Wed, 15 Jan 2020 07:48:15 -0800
Subject: [PATCH 022/272] Update issue templates

---
 .github/ISSUE_TEMPLATE/bug_report.md          |  2 +-
 .github/ISSUE_TEMPLATE/okr-feature-request.md | 20 +++++++++++++++++++
 2 files changed, 21 insertions(+), 1 deletion(-)
 create mode 100644 .github/ISSUE_TEMPLATE/okr-feature-request.md

diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
index dd84ea7..f3d5c41 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -2,7 +2,7 @@
 name: Bug report
 about: Create a report to help us improve
 title: ''
-labels: ''
+labels: bug
 assignees: ''
 
 ---
diff --git a/.github/ISSUE_TEMPLATE/okr-feature-request.md b/.github/ISSUE_TEMPLATE/okr-feature-request.md
new file mode 100644
index 0000000..97236a4
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/okr-feature-request.md
@@ -0,0 +1,20 @@
+---
+name: OKR Feature Request
+about: Suggest a clear objective & key result with a feature request
+title: ''
+labels: enhancement
+assignees: ''
+
+---
+
+## Objective
+Support progress toward the [pick_a_milestone_from_here][1] by _improving something_
+
+## Key Result
+[Commit / Publish / Post / Report / Deploy] _something_ to _somewhere_ by _sometime_, _somehow_
+
+## Details
+
+<insert fun tidbits that may be relevant for getting this done or just for the sake of learning 😊>
+
+[1]: https://github.com/calpoly-csai/api/milestones

From fc5b0f7424b53d2e41d257090d45139744d9ed5b Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Wed, 15 Jan 2020 07:49:04 -0800
Subject: [PATCH 023/272] Delete custom.md

---
 .github/ISSUE_TEMPLATE/custom.md | 10 ----------
 1 file changed, 10 deletions(-)
 delete mode 100644 .github/ISSUE_TEMPLATE/custom.md

diff --git a/.github/ISSUE_TEMPLATE/custom.md b/.github/ISSUE_TEMPLATE/custom.md
deleted file mode 100644
index 48d5f81..0000000
--- a/.github/ISSUE_TEMPLATE/custom.md
+++ /dev/null
@@ -1,10 +0,0 @@
----
-name: Custom issue template
-about: Describe this issue template's purpose here.
-title: ''
-labels: ''
-assignees: ''
-
----
-
-

From 7a4d547d296684fd27155d251f594e7cd357de1a Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Wed, 15 Jan 2020 07:53:27 -0800
Subject: [PATCH 024/272] Update issue templates

---
 .github/ISSUE_TEMPLATE/feature_request.md     | 20 -------------------
 .github/ISSUE_TEMPLATE/okr-feature-request.md | 10 +++++++++-
 2 files changed, 9 insertions(+), 21 deletions(-)
 delete mode 100644 .github/ISSUE_TEMPLATE/feature_request.md

diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
deleted file mode 100644
index bbcbbe7..0000000
--- a/.github/ISSUE_TEMPLATE/feature_request.md
+++ /dev/null
@@ -1,20 +0,0 @@
----
-name: Feature request
-about: Suggest an idea for this project
-title: ''
-labels: ''
-assignees: ''
-
----
-
-**Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-
-**Describe the solution you'd like**
-A clear and concise description of what you want to happen.
-
-**Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
-
-**Additional context**
-Add any other context or screenshots about the feature request here.
diff --git a/.github/ISSUE_TEMPLATE/okr-feature-request.md b/.github/ISSUE_TEMPLATE/okr-feature-request.md
index 97236a4..87cd222 100644
--- a/.github/ISSUE_TEMPLATE/okr-feature-request.md
+++ b/.github/ISSUE_TEMPLATE/okr-feature-request.md
@@ -15,6 +15,14 @@ Support progress toward the [pick_a_milestone_from_here][1] by _improving someth
 
 ## Details
 
-<insert fun tidbits that may be relevant for getting this done or just for the sake of learning 😊>
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.
+
+Add any fun tidbits that may be relevant for getting this done
+
+Or just fun tidbits for the sake of learning 😊
 
 [1]: https://github.com/calpoly-csai/api/milestones

From 144b48623e5e1dff585ef27b91a21c627a077746 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sat, 18 Jan 2020 13:34:23 -0800
Subject: [PATCH 025/272] Adds handle_question and gunicorn_config

the gunicorn_config.py will setup the PORT and workers and thread that will serve as the WSGI when we deploy.sh

run.sh is for local running

requirements.txt is now updated with everything needed to run our code

ALSO I ran pep8 style formatting via VS code

**What's next**
* `generate_session_token` is a mock function that needs to be implemented to return a new unique session_id (unique in the DB too)
---
 deploy.sh          |  2 ++
 flask_api.py       | 56 +++++++++++++++++++++++++++++++++++++---------
 gunicorn_config.py | 13 +++++++++++
 requirements.txt   | 27 ++++++++++++++++++++++
 run.sh             |  2 ++
 5 files changed, 90 insertions(+), 10 deletions(-)
 create mode 100755 deploy.sh
 mode change 100644 => 100755 flask_api.py
 create mode 100644 gunicorn_config.py
 create mode 100755 run.sh

diff --git a/deploy.sh b/deploy.sh
new file mode 100755
index 0000000..3332982
--- /dev/null
+++ b/deploy.sh
@@ -0,0 +1,2 @@
+#!/bin/bash
+gunicorn flask_api:app --config=gunicorn_config.py
diff --git a/flask_api.py b/flask_api.py
old mode 100644
new mode 100755
index 3373253..70f1338
--- a/flask_api.py
+++ b/flask_api.py
@@ -1,18 +1,20 @@
+#!/usr/bin/env python3
 """An API endpoint module.
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
 import time
-from flask import Flask, jsonify, request
+from flask import Flask, jsonify, request, session
 from flask_cors import CORS
 from modules.validators import WakeWordValidator
 from modules.formatters import WakeWordFormatter
 from pydrive.drive import GoogleDrive
 from pydrive.auth import GoogleAuth
+import gunicorn_config
+
 
 BAD_REQUEST = 400
 SUCCESS = 200
-DEBUG = True
 
 app = Flask(__name__)
 CORS(app)
@@ -29,6 +31,41 @@ def hello():
         return response_json, response_code
 
 
+def generate_session_token() -> str:
+    return "SOME_NEW_TOKEN"
+
+
+@app.route('/ask', methods=['POST'])
+def handle_question():
+    """
+    POST (not GET) request because the `question` is submitted
+    and an `answer` is "created." Also, some side-effects on the
+    server are:
+        * storage of the logs of this question-answer-session.
+    """
+
+    if request.is_json == False:
+        return "request must be JSON", BAD_REQUEST
+
+    request_body = request.get_json()
+
+    question = request_body.get('question', None)
+
+    if "question" not in request_body:
+        return "request body should include the question", BAD_REQUEST
+
+    response = {
+        "answer": "answer of <<{}>>".format(question),
+    }
+
+    if "session" in request_body:
+        response['session'] = request_body["session"]
+    else:
+        response['session'] = generate_session_token()
+
+    return jsonify(response), SUCCESS
+
+
 @app.route('/examples/wakeword', methods=['POST'])
 def save_a_recording():
     """Given the audio metadata & audio file, resamples it, saves to storage.
@@ -93,6 +130,7 @@ def resample_audio():
     """Resample the audio file to adhere to the Nimbus audio sampling standard."""
     pass
 
+
 def save_audiofile(filename, content):
     """Actually save the file into Google Drive."""
     # Initialize our google drive authentication object using saved credentials,
@@ -105,24 +143,22 @@ def save_audiofile(filename, content):
     # folder_id.txt since we probably shouldn't have that ID floating around on GitHub"""
     folder_id = get_folder_id()
     file = drive.CreateFile({"parents": [{"kind": "drive#fileLink",
-    "id": folder_id}], 'title':filename, 'mimeType':'audio/wav'})
+                                          "id": folder_id}], 'title': filename, 'mimeType': 'audio/wav'})
     # Set the content of the file to the POST request's wav_file parameter.
     file.content = content
-    file.Upload() # Upload file.
+    file.Upload()  # Upload file.
+
 
 def get_folder_id():
     with open("folder_id.txt") as folder_id_file:
         return folder_id_file.readline()
 
+
 def convert_to_mfcc():
     """Get this function from https://github.com/calpoly-csai/CSAI_Voice_Assistant"""
     pass
 
 
-@app.route('/times10/<int:num>', methods=['GET'])
-def get_times10(num):
-    return jsonify({'result': num*10})
-
-
 if __name__ == '__main__':
-    app.run(host='0.0.0.0', debug=DEBUG)
+    app.run(host='0.0.0.0', debug=gunicorn_config.DEBUG_MODE,
+            port=gunicorn_config.PORT)
diff --git a/gunicorn_config.py b/gunicorn_config.py
new file mode 100644
index 0000000..cc95db8
--- /dev/null
+++ b/gunicorn_config.py
@@ -0,0 +1,13 @@
+
+from os import environ
+import multiprocessing
+
+
+PORT = int(environ.get("PORT", 8080))
+DEBUG_MODE = int(environ.get("DEBUG_MODE", 1))
+
+# Gunicorn config
+bind = ":" + str(PORT)
+workers = multiprocessing.cpu_count() * 2 + 1
+threads = 2 * multiprocessing.cpu_count()
+
diff --git a/requirements.txt b/requirements.txt
index 7e2c247..8413d48 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,30 @@
+astroid==2.3.3
+cachetools==4.0.0
+Click==7.0
+Flask==1.1.1
+Flask-Cors==3.0.8
+google-api-python-client==1.7.11
+google-auth==1.10.1
+google-auth-httplib2==0.0.3
+gunicorn==20.0.4
+httplib2==0.16.0
+isort==4.3.21
+itsdangerous==1.1.0
+Jinja2==2.10.3
+lazy-object-proxy==1.4.3
+MarkupSafe==1.1.1
+mccabe==0.6.1
 mysql-connector-python==8.0.18
+oauth2client==4.1.3
 protobuf==3.10.0
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+PyDrive==1.3.1
+pylint==2.4.4
+PyYAML==5.3
+rsa==4.0
 six==1.13.0
+typed-ast==1.4.0
+uritemplate==3.0.1
+Werkzeug==0.16.0
+wrapt==1.11.2
diff --git a/run.sh b/run.sh
new file mode 100755
index 0000000..8dc8097
--- /dev/null
+++ b/run.sh
@@ -0,0 +1,2 @@
+#!/bin/bash
+python3 flask_api.py

From 9691b28cd7ccc09b62d4449e524bfd100f863e6d Mon Sep 17 00:00:00 2001
From: danield2255 <danield2255@gmail.com>
Date: Sat, 25 Jan 2020 07:02:41 -0800
Subject: [PATCH 026/272] add get course properties and professor properties

---
 database_wrapper.py | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/database_wrapper.py b/database_wrapper.py
index 3bd4bca..53a6e6b 100644
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -276,6 +276,31 @@ def get_bitcount(self, entity, prop) -> str:
         cursor.close()
         return [x[0] for x in tups]
 
+    def get_professor_properties(self, lastName) -> List[str]:
+        #TODO: need to change the get property from entity to accept multiple condition fields and values, currently just looks by last name
+        """
+        """
+        cursor = self.connection.cursor()
+        cursor.execute('use `{}`'.format(self.database))
+        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
+        tups = cursor.fetchall()
+        cursor.close()
+        return [x[0] for x in tups]
+
+    def get_course_properties(self, courseName) -> List[str]: 
+        #TODO: decide how we want to look up courses/ maybe create two methods. Currently looks up by courseName
+        """
+        """
+        cursor = self.connection.cursor()
+        cursor.execute('use `{}`'.format(self.database))
+        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
+        tups = cursor.fetchall()
+        cursor.close()
+        return [x[0] for x in tups]
+    
+
+
+
     def close(self) -> None:
         """Close the database connection"""
         self.connection.close()

From 49f797a7605226ddf442af432f9167de5b465d9b Mon Sep 17 00:00:00 2001
From: danield2255 <danield2255@gmail.com>
Date: Sun, 26 Jan 2020 12:57:42 -0800
Subject: [PATCH 027/272] database wrapping func add

---
 database_wrapper.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/database_wrapper.py b/database_wrapper.py
index 53a6e6b..362545c 100644
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -279,6 +279,9 @@ def get_bitcount(self, entity, prop) -> str:
     def get_professor_properties(self, lastName) -> List[str]:
         #TODO: need to change the get property from entity to accept multiple condition fields and values, currently just looks by last name
         """
+        To get a particular professor's properties 
+
+        
         """
         cursor = self.connection.cursor()
         cursor.execute('use `{}`'.format(self.database))

From 22809abc342fec4df7b9244ee5679d0fa384ef0b Mon Sep 17 00:00:00 2001
From: taylor-nguyen-987 <43256137+taylor-nguyen-987@users.noreply.github.com>
Date: Mon, 27 Jan 2020 21:42:54 -0800
Subject: [PATCH 028/272] Clubs.py

---
 Entity/Clubs.py        | 14 ++++++++++++++
 Entity/Corequisites.py |  0
 Entity/Corrections.py  |  0
 Entity/Courses.py      |  0
 4 files changed, 14 insertions(+)
 create mode 100644 Entity/Clubs.py
 create mode 100644 Entity/Corequisites.py
 create mode 100644 Entity/Corrections.py
 create mode 100644 Entity/Courses.py

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
new file mode 100644
index 0000000..4a0929e
--- /dev/null
+++ b/Entity/Clubs.py
@@ -0,0 +1,14 @@
+class Clubs:
+    def __init__(self, idClubs, types,
+                 desc, contactEmail, contactEmail2, contactPerson,
+                 contactPhone, box, advisorId, affiliation):
+        self.idClubs=idClubs
+        self.types=types
+        self.desc=desc
+        self.contactEmail=contactEmail
+        self.contactEmail2=contactEmail2
+        self.contactPerson=contactPerson
+        self.contactPhone=contactPhone
+        self.box=box
+        self.advisorId=advisorId
+        self.affiliation=affiliation
\ No newline at end of file
diff --git a/Entity/Corequisites.py b/Entity/Corequisites.py
new file mode 100644
index 0000000..e69de29
diff --git a/Entity/Corrections.py b/Entity/Corrections.py
new file mode 100644
index 0000000..e69de29
diff --git a/Entity/Courses.py b/Entity/Courses.py
new file mode 100644
index 0000000..e69de29

From b2318c7c65df660810307cc5c8b230eddc84e997 Mon Sep 17 00:00:00 2001
From: taylor-nguyen-987 <43256137+taylor-nguyen-987@users.noreply.github.com>
Date: Mon, 27 Jan 2020 21:53:11 -0800
Subject: [PATCH 029/272] Corequisites.py

---
 Entity/Corequisites.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Entity/Corequisites.py b/Entity/Corequisites.py
index e69de29..29be6f5 100644
--- a/Entity/Corequisites.py
+++ b/Entity/Corequisites.py
@@ -0,0 +1,4 @@
+class Corequisites:
+    def __init__(self, courseId, coreqCourse):
+        self.courseId=courseId
+        self.coreqCourse=coreqCourse
\ No newline at end of file

From 4f89c6284ff9feef676c28979a1d9e0bc26b8bdd Mon Sep 17 00:00:00 2001
From: taylor-nguyen-987 <43256137+taylor-nguyen-987@users.noreply.github.com>
Date: Mon, 27 Jan 2020 21:54:11 -0800
Subject: [PATCH 030/272] Corrections.py

---
 Entity/Corrections.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/Entity/Corrections.py b/Entity/Corrections.py
index e69de29..ce4ebcc 100644
--- a/Entity/Corrections.py
+++ b/Entity/Corrections.py
@@ -0,0 +1,8 @@
+class Corrections:
+    def __init__(self, correctionId, rawText, correctionText,
+                 tableNameToCorrect, columnNameToCorrect):
+        self.correctionId=correctionId
+        self.rawText=rawText
+        self.correctionText=correctionText
+        self.tableNameToCorrect=tableNameToCorrect
+        self.columnNameToCorrect=columnNameToCorrect
\ No newline at end of file

From abbd1e795f206a1e20b6f7a322682ec6bbfee305 Mon Sep 17 00:00:00 2001
From: taylor-nguyen-987 <43256137+taylor-nguyen-987@users.noreply.github.com>
Date: Mon, 27 Jan 2020 21:59:39 -0800
Subject: [PATCH 031/272] Courses.py

---
 Entity/Courses.py | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/Entity/Courses.py b/Entity/Courses.py
index e69de29..d8d09bd 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -0,0 +1,16 @@
+class Courses:
+    def __init__(self, courseId, dept, courseNum, termsOffered, units, courseName,
+                 raw_concurrent_text, raw_recommended_text, raw_prerequisites_text, crossListedAs,
+                 raw_standing_text, standing):
+        self.courseId=courseId
+        self.dept=dept
+        self.courseNum=courseNum
+        self.termsOffered=termsOffered
+        self.units=units
+        self.courseName=courseName
+        self.raw_concurrent_text=raw_concurrent_text
+        self.raw_recommended_text=raw_recommended_text
+        self.raw_prerequisites_text=raw_prerequisites_text
+        self.crossListedAs=crossListedAs
+        self.raw_standing_text=raw_standing_text
+        self.standing=standing

From 132d37719a40af460b07aac50c72c32d0005203a Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 27 Jan 2020 22:22:34 -0800
Subject: [PATCH 032/272] Adds a Dockerfile for deployment

---
 Dockerfile | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 Dockerfile

diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..d3f5a17
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,8 @@
+FROM python:3.6-stretch
+RUN apt update
+WORKDIR /app
+ADD requirements.txt /app/requirements.txt
+RUN pip install -r /app/requirements.txt
+ADD . /app
+ENV PORT 8080
+CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]

From d4615e7e774420ef66d01b4d49ea080e6b8bd97c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Mon, 27 Jan 2020 22:34:25 -0800
Subject: [PATCH 033/272] Create deploy_staging.yml

---
 .github/workflows/deploy_staging.yml | 35 ++++++++++++++++++++++++++++
 1 file changed, 35 insertions(+)
 create mode 100644 .github/workflows/deploy_staging.yml

diff --git a/.github/workflows/deploy_staging.yml b/.github/workflows/deploy_staging.yml
new file mode 100644
index 0000000..9380fa7
--- /dev/null
+++ b/.github/workflows/deploy_staging.yml
@@ -0,0 +1,35 @@
+name: Deploy Dev To Staging Server
+
+on:
+  push:
+    branches: 
+      - dev
+
+jobs:
+  deploy:
+    name: deploy to heroku
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+
+    - name: heroku login
+      uses: actions/heroku@master
+      env:
+        HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
+      with:
+        args: container:login
+
+    - name: heroku push
+      uses: actions/heroku@master
+      env:
+        HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
+      with:
+        args: container:push -a calpoly-csai-nimbus web
+
+    - name: heroku release
+      uses: actions/heroku@master
+      env:
+        HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
+      with:
+        args: container:release -a calpoly-csai-nimbus web

From c20100dd12b54104c671aac28a3e92431e083015 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Mon, 27 Jan 2020 22:42:52 -0800
Subject: [PATCH 034/272] Update and rename pythonapp.yml to style_check.yml

---
 .github/workflows/{pythonapp.yml => style_check.yml} | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)
 rename .github/workflows/{pythonapp.yml => style_check.yml} (78%)

diff --git a/.github/workflows/pythonapp.yml b/.github/workflows/style_check.yml
similarity index 78%
rename from .github/workflows/pythonapp.yml
rename to .github/workflows/style_check.yml
index e9947b1..21bf70d 100644
--- a/.github/workflows/pythonapp.yml
+++ b/.github/workflows/style_check.yml
@@ -1,4 +1,4 @@
-name: Python application
+name: Python Style Check On Push
 
 on: [push]
 
@@ -24,11 +24,3 @@ jobs:
         flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-    - name: Test with just pytest
-      run: |
-        pip install pytest
-        pytest
-    - name: Test with hypothesis
-      run: |
-        pip install hypothesis
-        pytest

From 1ee41676fc79ffb4577a99ac5bdea7cd0497bd91 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Mon, 27 Jan 2020 22:45:27 -0800
Subject: [PATCH 035/272] Create test.yml

---
 .github/workflows/test.yml | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)
 create mode 100644 .github/workflows/test.yml

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
new file mode 100644
index 0000000..ad5cee3
--- /dev/null
+++ b/.github/workflows/test.yml
@@ -0,0 +1,27 @@
+name: Run Tests
+
+on: [push]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+    - name: Set up Python 3.6
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.6
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+    - name: Test with just pytest
+      run: |
+        pip install pytest
+        pytest
+    - name: Test with hypothesis
+      run: |
+        pip install hypothesis
+        pytest

From 5465f4cac8d0fbd38263f34d588468df337cac0d Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Mon, 27 Jan 2020 22:48:41 -0800
Subject: [PATCH 036/272] Update style_check.yml

---
 .github/workflows/style_check.yml | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/style_check.yml b/.github/workflows/style_check.yml
index 21bf70d..610f117 100644
--- a/.github/workflows/style_check.yml
+++ b/.github/workflows/style_check.yml
@@ -1,6 +1,14 @@
-name: Python Style Check On Push
+name: Python PEP8 Style Check
 
-on: [push]
+on:
+  pull_request:
+    branches: 
+      - master
+      - dev
+  push:
+    branches: 
+      - master
+      - dev
 
 jobs:
   build:

From c6d150f90527023a4804c72f9fb46da6f3766f58 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Mon, 27 Jan 2020 22:50:22 -0800
Subject: [PATCH 037/272] Update test.yml

---
 .github/workflows/test.yml | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index ad5cee3..afe61d2 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -1,6 +1,14 @@
 name: Run Tests
 
-on: [push]
+on:
+  pull_request:
+    branches: 
+      - master
+      - dev
+  push:
+    branches: 
+      - master
+      - dev
 
 jobs:
   build:

From 77a2b7838c676c33af1fb5a39150aaffaf893b6f Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Mon, 27 Jan 2020 23:02:07 -0800
Subject: [PATCH 038/272] Update README.md

---
 README.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index a1b98f9..ca18890 100644
--- a/README.md
+++ b/README.md
@@ -2,20 +2,20 @@
 
 ![GitHub repo size](https://img.shields.io/github/repo-size/calpoly-csai/api)
 ![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/calpoly-csai/api)
-
 ![GitHub closed issues](https://img.shields.io/github/issues-closed/calpoly-csai/api)
 ![GitHub closed pull requests](https://img.shields.io/github/issues-pr-closed/calpoly-csai/api)
 
-![Python Version](https://img.shields.io/badge/python-3.6.9-blue)
-![Pip Version](https://img.shields.io/badge/pip-9.0.1-blue)
-![Ubuntu Version](https://img.shields.io/badge/ubuntu-18.04.3%20LTS-blue)
-![MySQL Version](https://img.shields.io/badge/mysql-5.7.28-blue)
-![GitHub Licence](https://img.shields.io/github/license/calpoly-csai/api)
-
 Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CSAI_Voice_Assistant) accessible via HTTP REST protocol.
 
 ## 🚧 This API is still in-development, so expect the endpoints to be constantly changing until finalized.
 
+## GitHub Actions Status
+![Deploy To Staging Server](https://github.com/calpoly-csai/api/workflows/Deploy%20Dev%20To%20Staging%20Server/badge.svg)
+
+![Run Tests](https://github.com/calpoly-csai/api/workflows/Run%20Tests/badge.svg)
+
+![Python PEP8 Style Check](https://github.com/calpoly-csai/api/workflows/Python%20PEP8%20Style%20Check/badge.svg)
+
 ## Documentation
 
 - [ ] **TODO: INSERT LINK TO API DOCUMENTATION**

From 17855514c0425a767ae9a3e54299ad9cb6d8f432 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Tue, 28 Jan 2020 00:53:39 -0800
Subject: [PATCH 039/272] Adds flake8 for linting and yapf for auto formatting
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(mf-flask-api) ✗ ./lint.sh
./gunicorn_config.py:13:1: W391 blank line at end of file

^
./database_wrapper.py:11:1: E265 block comment should start with '# '
#!/usr/bin/env python3
^
./database_wrapper.py:14:1: F401 'typing.Any' imported but unused
from typing import Any, Optional
^
./database_wrapper.py:40:1: W293 blank line contains whitespace

^
./database_wrapper.py:41:1: W293 blank line contains whitespace

^
./database_wrapper.py:42:1: E303 too many blank lines (4)
"""
^
./database_wrapper.py:45:1: E302 expected 2 blank lines, found 0
def get_current_time():
^
./database_wrapper.py:50:1: W293 blank line contains whitespace

^
./database_wrapper.py:66:1: W293 blank line contains whitespace

^
./database_wrapper.py:67:5: E303 too many blank lines (2)
    @abstractmethod
    ^
./database_wrapper.py:68:39: W291 trailing whitespace
    def get_property_from_entity(self,
                                      ^
./database_wrapper.py:69:40: F821 undefined name 'List'
                                 prop: List[str],
                                       ^
./database_wrapper.py:70:46: W291 trailing whitespace
                                 entity: str,
                                             ^
./database_wrapper.py:72:76: F821 undefined name 'List'
                                 condition_value: Optional[str] = None) -> List[str]:
                                                                           ^
./database_wrapper.py:72:76: F821 undefined name 'List'
                                 condition_value: Optional[str] = None) -> List[str]:
                                                                           ^
./database_wrapper.py:96:50: F821 undefined name 'List'
                                           prop: List[str],
                                                 ^
./database_wrapper.py:99:54: W291 trailing whitespace
                                           key1: str,
                                                     ^
./database_wrapper.py:102:86: F821 undefined name 'List'
                                           condition_value: Optional[str] = None) -> List[str]:
                                                                                     ^
./database_wrapper.py:102:86: F821 undefined name 'List'
                                           condition_value: Optional[str] = None) -> List[str]:
                                                                                     ^
./database_wrapper.py:107:128: E501 line too long (130 > 127 characters)
        """A higher-order function to ????

        Example:
        >>> db = NimbusDatabase("config.json")
        >>> db.get_property_from_related_entities(["firstName", "lastName", "ohRoom"], "Professors", "OfficeHours", "professorId")
        [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]

        >>> db.get_property_from_related_entities(["firstName", "lastName"], "Professors", "OfficeHours", "professorId", "firstName", "Foaad")
        [("Foaad", "Khosmood", "14-213")]

        Args:
            entity: TODO
            prop: TODO

        Returns:
            TODO
        """
                                                                                                                               ^
./database_wrapper.py:110:128: E501 line too long (142 > 127 characters)
        """A higher-order function to ????

        Example:
        >>> db = NimbusDatabase("config.json")
        >>> db.get_property_from_related_entities(["firstName", "lastName", "ohRoom"], "Professors", "OfficeHours", "professorId")
        [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]

        >>> db.get_property_from_related_entities(["firstName", "lastName"], "Professors", "OfficeHours", "professorId", "firstName", "Foaad")
        [("Foaad", "Khosmood", "14-213")]

        Args:
            entity: TODO
            prop: TODO

        Returns:
            TODO
        """
                                                                                                                               ^
./database_wrapper.py:121:1: W293 blank line contains whitespace

^
./database_wrapper.py:122:1: W293 blank line contains whitespace

^
./database_wrapper.py:123:5: E303 too many blank lines (2)
    @abstractmethod
    ^
./database_wrapper.py:128:5: E303 too many blank lines (2)
    @abstractmethod
    ^
./database_wrapper.py:131:89: W291 trailing whitespace
        """
        TODO: given an entity, return all the field names of that table in the database.
        """
                                                                                        ^
./database_wrapper.py:279:53: F821 undefined name 'List'
    def get_professor_properties(self, lastName) -> List[str]:
                                                    ^
./database_wrapper.py:279:53: F821 undefined name 'List'
    def get_professor_properties(self, lastName) -> List[str]:
                                                    ^
./database_wrapper.py:280:9: E265 block comment should start with '# '
        #TODO: need to change the get property from entity to accept multiple condition fields and values, currently just looks by last name
        ^
./database_wrapper.py:280:128: E501 line too long (140 > 127 characters)
        #TODO: need to change the get property from entity to accept multiple condition fields and values, currently just looks by last name
                                                                                                                               ^
./database_wrapper.py:282:51: W291 trailing whitespace
        """
        To get a particular professor's properties

        """
                                                  ^
./database_wrapper.py:284:1: W293 blank line contains whitespace
        """
        To get a particular professor's properties

        """
^
./database_wrapper.py:288:9: F841 local variable 'props' is assigned to but never used
        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
        ^
./database_wrapper.py:288:17: F821 undefined name 'get_property_from_entity'
        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
                ^
./database_wrapper.py:288:84: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
                                                                                   ^
./database_wrapper.py:288:86: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
                                                                                     ^
./database_wrapper.py:288:114: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
                                                                                                                 ^
./database_wrapper.py:288:116: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
                                                                                                                   ^
./database_wrapper.py:293:52: F821 undefined name 'List'
    def get_course_properties(self, courseName) -> List[str]:
                                                   ^
./database_wrapper.py:293:52: F821 undefined name 'List'
    def get_course_properties(self, courseName) -> List[str]:
                                                   ^
./database_wrapper.py:293:62: W291 trailing whitespace
    def get_course_properties(self, courseName) -> List[str]:
                                                             ^
./database_wrapper.py:294:9: E265 block comment should start with '# '
        #TODO: decide how we want to look up courses/ maybe create two methods. Currently looks up by courseName
        ^
./database_wrapper.py:299:9: F841 local variable 'props' is assigned to but never used
        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
        ^
./database_wrapper.py:299:17: F821 undefined name 'get_property_from_entity'
        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
                ^
./database_wrapper.py:299:81: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
                                                                                ^
./database_wrapper.py:299:83: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
                                                                                  ^
./database_wrapper.py:299:113: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
                                                                                                                ^
./database_wrapper.py:299:115: E251 unexpected spaces around keyword / parameter equals
        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
                                                                                                                  ^
./database_wrapper.py:303:1: W293 blank line contains whitespace

^
./database_wrapper.py:307:5: E303 too many blank lines (4)
    def close(self) -> None:
    ^
./flask_api.py:6:1: F401 'time' imported but unused
import time
^
./flask_api.py:7:1: F401 'flask.session' imported but unused
from flask import Flask, jsonify, request, session
^
./flask_api.py:47:24: E712 comparison to False should be 'if cond is False:' or 'if not cond:'
    if request.is_json == False:
                       ^
./db_wrapper.py:7:1: E302 expected 2 blank lines, found 1
def connect():
^
./db_wrapper.py:15:1: E302 expected 2 blank lines, found 1
def get_databases(cxn):
^
./db_wrapper.py:90:1: W293 blank line contains whitespace
    """ Answers the question of when can I take "X"course?

    Args:
        cxn: MySQL database connection object
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A list including courseName and a set of terms offered for specified course
    """
^
./db_wrapper.py:91:10: W291 trailing whitespace
    """ Answers the question of when can I take "X"course?

    Args:
        cxn: MySQL database connection object
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A list including courseName and a set of terms offered for specified course
    """
         ^
./db_wrapper.py:116:1: W293 blank line contains whitespace
    """ Answers the question of 'Does [Professor] teach [Course]'?

    Args:
        cxn: MySQL database connection object
        prof: the name of the professor. If first and last name expressed, otherwise, last name
        will be used alone
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A boolean
    """
^
./db_wrapper.py:117:10: W291 trailing whitespace
    """ Answers the question of 'Does [Professor] teach [Course]'?

    Args:
        cxn: MySQL database connection object
        prof: the name of the professor. If first and last name expressed, otherwise, last name
        will be used alone
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A boolean
    """
         ^
./db_wrapper.py:119:96: W291 trailing whitespace
    """ Answers the question of 'Does [Professor] teach [Course]'?

    Args:
        cxn: MySQL database connection object
        prof: the name of the professor. If first and last name expressed, otherwise, last name
        will be used alone
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A boolean
    """
                                                                                               ^
./db_wrapper.py:131:5: E303 too many blank lines (2)
    query = "SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like \"%"
    ^
./db_wrapper.py:134:5: E265 block comment should start with '# '
    #this can be an article of discussion for matching professor names
    ^
./db_wrapper.py:154:1: E303 too many blank lines (4)
if __name__ == "__main__":
^
./Entity/Corrections.py:4:26: E225 missing whitespace around operator
        self.correctionId=correctionId
                         ^
./Entity/Corrections.py:5:21: E225 missing whitespace around operator
        self.rawText=rawText
                    ^
./Entity/Corrections.py:6:28: E225 missing whitespace around operator
        self.correctionText=correctionText
                           ^
./Entity/Corrections.py:7:32: E225 missing whitespace around operator
        self.tableNameToCorrect=tableNameToCorrect
                               ^
./Entity/Corrections.py:8:33: E225 missing whitespace around operator
        self.columnNameToCorrect=columnNameToCorrect                                ^
./Entity/Corrections.py:8:53: W292 no newline at end of file
        self.columnNameToCorrect=columnNameToCorrect                                                    ^
./Entity/Corequisites.py:3:22: E225 missing whitespace around operator
        self.courseId=courseId
                     ^
./Entity/Corequisites.py:4:25: E225 missing whitespace around operator
        self.coreqCourse=coreqCourse                        ^
./Entity/Corequisites.py:4:37: W292 no newline at end of file
        self.coreqCourse=coreqCourse                                    ^
./Entity/Clubs.py:5:21: E225 missing whitespace around operator
        self.idClubs=idClubs
                    ^
./Entity/Clubs.py:6:19: E225 missing whitespace around operator
        self.types=types
                  ^
./Entity/Clubs.py:7:18: E225 missing whitespace around operator
        self.desc=desc
                 ^
./Entity/Clubs.py:8:26: E225 missing whitespace around operator
        self.contactEmail=contactEmail
                         ^
./Entity/Clubs.py:9:27: E225 missing whitespace around operator
        self.contactEmail2=contactEmail2
                          ^
./Entity/Clubs.py:10:27: E225 missing whitespace around operator
        self.contactPerson=contactPerson
                          ^
./Entity/Clubs.py:11:26: E225 missing whitespace around operator
        self.contactPhone=contactPhone
                         ^
./Entity/Clubs.py:12:17: E225 missing whitespace around operator
        self.box=box
                ^
./Entity/Clubs.py:13:23: E225 missing whitespace around operator
        self.advisorId=advisorId
                      ^
./Entity/Clubs.py:14:25: E225 missing whitespace around operator
        self.affiliation=affiliation                        ^
./Entity/Clubs.py:14:37: W292 no newline at end of file
        self.affiliation=affiliation                                    ^
./Entity/Courses.py:5:22: E225 missing whitespace around operator
        self.courseId=courseId
                     ^
./Entity/Courses.py:6:18: E225 missing whitespace around operator
        self.dept=dept
                 ^
./Entity/Courses.py:7:23: E225 missing whitespace around operator
        self.courseNum=courseNum
                      ^
./Entity/Courses.py:8:26: E225 missing whitespace around operator
        self.termsOffered=termsOffered
                         ^
./Entity/Courses.py:9:19: E225 missing whitespace around operator
        self.units=units
                  ^
./Entity/Courses.py:10:24: E225 missing whitespace around operator
        self.courseName=courseName
                       ^
./Entity/Courses.py:11:33: E225 missing whitespace around operator
        self.raw_concurrent_text=raw_concurrent_text
                                ^
./Entity/Courses.py:12:34: E225 missing whitespace around operator
        self.raw_recommended_text=raw_recommended_text
                                 ^
./Entity/Courses.py:13:36: E225 missing whitespace around operator
        self.raw_prerequisites_text=raw_prerequisites_text
                                   ^
./Entity/Courses.py:14:27: E225 missing whitespace around operator
        self.crossListedAs=crossListedAs
                          ^
./Entity/Courses.py:15:31: E225 missing whitespace around operator
        self.raw_standing_text=raw_standing_text
                              ^
./Entity/Courses.py:16:22: E225 missing whitespace around operator
        self.standing=standing
                     ^
./modules/validators.py:14:128: E501 line too long (138 > 127 characters)
        """Takes measures to fill in missing data in form, cloning, mutating and then returning the data. If not possible, raises error"""
                                                                                                                               ^
./modules/validators.py:42:13: E722 do not use bare 'except'
            except:
            ^
29    E225 missing whitespace around operator
8     E251 unexpected spaces around keyword / parameter equals
4     E265 block comment should start with '# '
3     E302 expected 2 blank lines, found 0
7     E303 too many blank lines (4)
4     E501 line too long (130 > 127 characters)
1     E712 comparison to False should be 'if cond is False:' or 'if not cond:'
1     E722 do not use bare 'except'
3     F401 'typing.Any' imported but unused
12    F821 undefined name 'List'
2     F841 local variable 'props' is assigned to but never used
9     W291 trailing whitespace
3     W292 no newline at end of file
10    W293 blank line contains whitespace
1     W391 blank line at end of file
97
(venv) ➜  api git:(mf-flask-api)
---
 .style.yapf      | 350 +++++++++++++++++++++++++++++++++++++++++++++++
 format.sh        |   6 +
 lint.sh          |  22 +++
 requirements.txt |   5 +
 4 files changed, 383 insertions(+)
 create mode 100644 .style.yapf
 create mode 100755 format.sh
 create mode 100755 lint.sh

diff --git a/.style.yapf b/.style.yapf
new file mode 100644
index 0000000..ce3c715
--- /dev/null
+++ b/.style.yapf
@@ -0,0 +1,350 @@
+[style]
+# Align closing bracket with visual indentation.
+align_closing_bracket_with_visual_indent=True
+
+# Allow dictionary keys to exist on multiple lines. For example:
+#
+#   x = {
+#       ('this is the first element of a tuple',
+#        'this is the second element of a tuple'):
+#            value,
+#   }
+allow_multiline_dictionary_keys=False
+
+# Allow lambdas to be formatted on more than one line.
+allow_multiline_lambdas=False
+
+# Allow splitting before a default / named assignment in an argument list.
+allow_split_before_default_or_named_assigns=True
+
+# Allow splits before the dictionary value.
+allow_split_before_dict_value=True
+
+#   Let spacing indicate operator precedence. For example:
+#
+#     a = 1 * 2 + 3 / 4
+#     b = 1 / 2 - 3 * 4
+#     c = (1 + 2) * (3 - 4)
+#     d = (1 - 2) / (3 + 4)
+#     e = 1 * 2 - 3
+#     f = 1 + 2 + 3 + 4
+#
+# will be formatted as follows to indicate precedence:
+#
+#     a = 1*2 + 3/4
+#     b = 1/2 - 3*4
+#     c = (1+2) * (3-4)
+#     d = (1-2) / (3+4)
+#     e = 1*2 - 3
+#     f = 1 + 2 + 3 + 4
+#
+arithmetic_precedence_indication=False
+
+# Number of blank lines surrounding top-level function and class
+# definitions.
+blank_lines_around_top_level_definition=2
+
+# Insert a blank line before a class-level docstring.
+blank_line_before_class_docstring=False
+
+# Insert a blank line before a module docstring.
+blank_line_before_module_docstring=False
+
+# Insert a blank line before a 'def' or 'class' immediately nested
+# within another 'def' or 'class'. For example:
+#
+#   class Foo:
+#                      # <------ this blank line
+#     def method():
+#       ...
+blank_line_before_nested_class_or_def=False
+
+# Do not split consecutive brackets. Only relevant when
+# dedent_closing_brackets is set. For example:
+#
+#    call_func_that_takes_a_dict(
+#        {
+#            'key1': 'value1',
+#            'key2': 'value2',
+#        }
+#    )
+#
+# would reformat to:
+#
+#    call_func_that_takes_a_dict({
+#        'key1': 'value1',
+#        'key2': 'value2',
+#    })
+coalesce_brackets=False
+
+# The column limit.
+column_limit=79
+
+# The style for continuation alignment. Possible values are:
+#
+# - SPACE: Use spaces for continuation alignment. This is default behavior.
+# - FIXED: Use fixed number (CONTINUATION_INDENT_WIDTH) of columns
+#   (ie: CONTINUATION_INDENT_WIDTH/INDENT_WIDTH tabs) for continuation
+#   alignment.
+# - VALIGN-RIGHT: Vertically align continuation lines with indent
+#   characters. Slightly right (one more indent character) if cannot
+#   vertically align continuation lines with indent characters.
+#
+# For options FIXED, and VALIGN-RIGHT are only available when USE_TABS is
+# enabled.
+continuation_align_style=SPACE
+
+# Indent width used for line continuations.
+continuation_indent_width=4
+
+# Put closing brackets on a separate line, dedented, if the bracketed
+# expression can't fit in a single line. Applies to all kinds of brackets,
+# including function definitions and calls. For example:
+#
+#   config = {
+#       'key1': 'value1',
+#       'key2': 'value2',
+#   }        # <--- this bracket is dedented and on a separate line
+#
+#   time_series = self.remote_client.query_entity_counters(
+#       entity='dev3246.region1',
+#       key='dns.query_latency_tcp',
+#       transform=Transformation.AVERAGE(window=timedelta(seconds=60)),
+#       start_ts=now()-timedelta(days=3),
+#       end_ts=now(),
+#   )        # <--- this bracket is dedented and on a separate line
+dedent_closing_brackets=False
+
+# Disable the heuristic which places each list element on a separate line
+# if the list is comma-terminated.
+disable_ending_comma_heuristic=False
+
+# Place each dictionary entry onto its own line.
+each_dict_entry_on_separate_line=True
+
+# The regex for an i18n comment. The presence of this comment stops
+# reformatting of that line, because the comments are required to be
+# next to the string they translate.
+i18n_comment=
+
+# The i18n function call names. The presence of this function stops
+# reformattting on that line, because the string it has cannot be moved
+# away from the i18n comment.
+i18n_function_call=
+
+# Indent blank lines.
+indent_blank_lines=False
+
+# Put closing brackets on a separate line, indented, if the bracketed
+# expression can't fit in a single line. Applies to all kinds of brackets,
+# including function definitions and calls. For example:
+#
+#   config = {
+#       'key1': 'value1',
+#       'key2': 'value2',
+#       }        # <--- this bracket is indented and on a separate line
+#
+#   time_series = self.remote_client.query_entity_counters(
+#       entity='dev3246.region1',
+#       key='dns.query_latency_tcp',
+#       transform=Transformation.AVERAGE(window=timedelta(seconds=60)),
+#       start_ts=now()-timedelta(days=3),
+#       end_ts=now(),
+#       )        # <--- this bracket is indented and on a separate line
+indent_closing_brackets=False
+
+# Indent the dictionary value if it cannot fit on the same line as the
+# dictionary key. For example:
+#
+#   config = {
+#       'key1':
+#           'value1',
+#       'key2': value1 +
+#               value2,
+#   }
+indent_dictionary_value=False
+
+# The number of columns to use for indentation.
+indent_width=4
+
+# Join short lines into one line. E.g., single line 'if' statements.
+join_multiple_lines=True
+
+# Do not include spaces around selected binary operators. For example:
+#
+#   1 + 2 * 3 - 4 / 5
+#
+# will be formatted as follows when configured with "*,/":
+#
+#   1 + 2*3 - 4/5
+no_spaces_around_selected_binary_operators=
+
+# Use spaces around default or named assigns.
+spaces_around_default_or_named_assign=False
+
+# Use spaces around the power operator.
+spaces_around_power_operator=False
+
+# The number of spaces required before a trailing comment.
+# This can be a single value (representing the number of spaces
+# before each trailing comment) or list of values (representing
+# alignment column values; trailing comments within a block will
+# be aligned to the first column value that is greater than the maximum
+# line length within the block). For example:
+#
+# With spaces_before_comment=5:
+#
+#   1 + 1 # Adding values
+#
+# will be formatted as:
+#
+#   1 + 1     # Adding values <-- 5 spaces between the end of the statement and comment
+#
+# With spaces_before_comment=15, 20:
+#
+#   1 + 1 # Adding values
+#   two + two # More adding
+#
+#   longer_statement # This is a longer statement
+#   short # This is a shorter statement
+#
+#   a_very_long_statement_that_extends_beyond_the_final_column # Comment
+#   short # This is a shorter statement
+#
+# will be formatted as:
+#
+#   1 + 1          # Adding values <-- end of line comments in block aligned to col 15
+#   two + two      # More adding
+#
+#   longer_statement    # This is a longer statement <-- end of line comments in block aligned to col 20
+#   short               # This is a shorter statement
+#
+#   a_very_long_statement_that_extends_beyond_the_final_column  # Comment <-- the end of line comments are aligned based on the line length
+#   short                                                       # This is a shorter statement
+#
+spaces_before_comment=2
+
+# Insert a space between the ending comma and closing bracket of a list,
+# etc.
+space_between_ending_comma_and_closing_bracket=True
+
+# Split before arguments
+split_all_comma_separated_values=False
+
+# Split before arguments, but do not split all subexpressions recursively
+# (unless needed).
+split_all_top_level_comma_separated_values=False
+
+# Split before arguments if the argument list is terminated by a
+# comma.
+split_arguments_when_comma_terminated=False
+
+# Set to True to prefer splitting before '+', '-', '*', '/', '//', or '@'
+# rather than after.
+split_before_arithmetic_operator=False
+
+# Set to True to prefer splitting before '&', '|' or '^' rather than
+# after.
+split_before_bitwise_operator=True
+
+# Split before the closing bracket if a list or dict literal doesn't fit on
+# a single line.
+split_before_closing_bracket=True
+
+# Split before a dictionary or set generator (comp_for). For example, note
+# the split before the 'for':
+#
+#   foo = {
+#       variable: 'Hello world, have a nice day!'
+#       for variable in bar if variable != 42
+#   }
+split_before_dict_set_generator=True
+
+# Split before the '.' if we need to split a longer expression:
+#
+#   foo = ('This is a really long string: {}, {}, {}, {}'.format(a, b, c, d))
+#
+# would reformat to something like:
+#
+#   foo = ('This is a really long string: {}, {}, {}, {}'
+#          .format(a, b, c, d))
+split_before_dot=False
+
+# Split after the opening paren which surrounds an expression if it doesn't
+# fit on a single line.
+split_before_expression_after_opening_paren=False
+
+# If an argument / parameter list is going to be split, then split before
+# the first argument.
+split_before_first_argument=False
+
+# Set to True to prefer splitting before 'and' or 'or' rather than
+# after.
+split_before_logical_operator=True
+
+# Split named assignments onto individual lines.
+split_before_named_assigns=True
+
+# Set to True to split list comprehensions and generators that have
+# non-trivial expressions and multiple clauses before each of these
+# clauses. For example:
+#
+#   result = [
+#       a_long_var + 100 for a_long_var in xrange(1000)
+#       if a_long_var % 10]
+#
+# would reformat to something like:
+#
+#   result = [
+#       a_long_var + 100
+#       for a_long_var in xrange(1000)
+#       if a_long_var % 10]
+split_complex_comprehension=False
+
+# The penalty for splitting right after the opening bracket.
+split_penalty_after_opening_bracket=300
+
+# The penalty for splitting the line after a unary operator.
+split_penalty_after_unary_operator=10000
+
+# The penalty of splitting the line around the '+', '-', '*', '/', '//',
+# ``%``, and '@' operators.
+split_penalty_arithmetic_operator=300
+
+# The penalty for splitting right before an if expression.
+split_penalty_before_if_expr=0
+
+# The penalty of splitting the line around the '&', '|', and '^'
+# operators.
+split_penalty_bitwise_operator=300
+
+# The penalty for splitting a list comprehension or generator
+# expression.
+split_penalty_comprehension=80
+
+# The penalty for characters over the column limit.
+split_penalty_excess_character=7000
+
+# The penalty incurred by adding a line split to the unwrapped line. The
+# more line splits added the higher the penalty.
+split_penalty_for_added_line_split=30
+
+# The penalty of splitting a list of "import as" names. For example:
+#
+#   from a_very_long_or_indented_module_name_yada_yad import (long_argument_1,
+#                                                             long_argument_2,
+#                                                             long_argument_3)
+#
+# would reformat to something like:
+#
+#   from a_very_long_or_indented_module_name_yada_yad import (
+#       long_argument_1, long_argument_2, long_argument_3)
+split_penalty_import_names=0
+
+# The penalty of splitting the line around the 'and' and 'or'
+# operators.
+split_penalty_logical_operator=300
+
+# Use the Tab character for indentation.
+use_tabs=False
+
diff --git a/format.sh b/format.sh
new file mode 100755
index 0000000..ace2f06
--- /dev/null
+++ b/format.sh
@@ -0,0 +1,6 @@
+
+
+# --recursive: makes it work on folders
+# --versbose: prints out the filename(s) while running 
+# --in-place: actually modifies the file(s)
+yapf --recursive --verbose --in-place *.py Entity/*.py modules/*.py
diff --git a/lint.sh b/lint.sh
new file mode 100755
index 0000000..a57c7ff
--- /dev/null
+++ b/lint.sh
@@ -0,0 +1,22 @@
+#flake8 . --count \ 
+#         --select=E9,F63,F7,F82 \ 
+#         --show-source \ 
+#         --statistics \
+#         --exclude .git,__pycache__,docs/source/conf.py,old,build,dist,venv \
+#         --max-complexity 10
+#
+#
+## stop the build if there are Python syntax errors or undefined names
+#flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+## exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+#flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+
+
+
+# default is 79, but members of the team agreed upon a slight increase
+# The GitHub editor is 127 chars wide
+flake8 --count \
+       --show-source --statistics \
+       --exclude .git,__pycache__,venv,build,dist,docs \
+       --max-complexity 10 \
+       --max-line-length=127
diff --git a/requirements.txt b/requirements.txt
index 8413d48..94be3dc 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,8 @@
 astroid==2.3.3
 cachetools==4.0.0
 Click==7.0
+entrypoints==0.3
+flake8==3.7.9
 Flask==1.1.1
 Flask-Cors==3.0.8
 google-api-python-client==1.7.11
@@ -19,7 +21,9 @@ oauth2client==4.1.3
 protobuf==3.10.0
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
+pycodestyle==2.5.0
 PyDrive==1.3.1
+pyflakes==2.1.1
 pylint==2.4.4
 PyYAML==5.3
 rsa==4.0
@@ -28,3 +32,4 @@ typed-ast==1.4.0
 uritemplate==3.0.1
 Werkzeug==0.16.0
 wrapt==1.11.2
+yapf==0.29.0

From ba553a0d55530d3b0fda2e6264e71b2e68af4925 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Tue, 28 Jan 2020 01:00:07 -0800
Subject: [PATCH 040/272] use google style
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(mf-flask-api) ✗ yapf --style google --style-help > .style.yapf
---
 .style.yapf | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/.style.yapf b/.style.yapf
index ce3c715..fa2f60a 100644
--- a/.style.yapf
+++ b/.style.yapf
@@ -1,6 +1,6 @@
 [style]
 # Align closing bracket with visual indentation.
-align_closing_bracket_with_visual_indent=True
+align_closing_bracket_with_visual_indent=False
 
 # Allow dictionary keys to exist on multiple lines. For example:
 #
@@ -57,7 +57,7 @@ blank_line_before_module_docstring=False
 #                      # <------ this blank line
 #     def method():
 #       ...
-blank_line_before_nested_class_or_def=False
+blank_line_before_nested_class_or_def=True
 
 # Do not split consecutive brackets. Only relevant when
 # dedent_closing_brackets is set. For example:
@@ -78,7 +78,7 @@ blank_line_before_nested_class_or_def=False
 coalesce_brackets=False
 
 # The column limit.
-column_limit=79
+column_limit=80
 
 # The style for continuation alignment. Possible values are:
 #
@@ -125,12 +125,12 @@ each_dict_entry_on_separate_line=True
 # The regex for an i18n comment. The presence of this comment stops
 # reformatting of that line, because the comments are required to be
 # next to the string they translate.
-i18n_comment=
+i18n_comment=#\..*
 
 # The i18n function call names. The presence of this function stops
 # reformattting on that line, because the string it has cannot be moved
 # away from the i18n comment.
-i18n_function_call=
+i18n_function_call=N_, _
 
 # Indent blank lines.
 indent_blank_lines=False
@@ -162,13 +162,13 @@ indent_closing_brackets=False
 #       'key2': value1 +
 #               value2,
 #   }
-indent_dictionary_value=False
+indent_dictionary_value=True
 
 # The number of columns to use for indentation.
 indent_width=4
 
 # Join short lines into one line. E.g., single line 'if' statements.
-join_multiple_lines=True
+join_multiple_lines=False
 
 # Do not include spaces around selected binary operators. For example:
 #
@@ -226,7 +226,7 @@ spaces_before_comment=2
 
 # Insert a space between the ending comma and closing bracket of a list,
 # etc.
-space_between_ending_comma_and_closing_bracket=True
+space_between_ending_comma_and_closing_bracket=False
 
 # Split before arguments
 split_all_comma_separated_values=False
@@ -245,7 +245,7 @@ split_before_arithmetic_operator=False
 
 # Set to True to prefer splitting before '&', '|' or '^' rather than
 # after.
-split_before_bitwise_operator=True
+split_before_bitwise_operator=False
 
 # Split before the closing bracket if a list or dict literal doesn't fit on
 # a single line.
@@ -258,7 +258,7 @@ split_before_closing_bracket=True
 #       variable: 'Hello world, have a nice day!'
 #       for variable in bar if variable != 42
 #   }
-split_before_dict_set_generator=True
+split_before_dict_set_generator=False
 
 # Split before the '.' if we need to split a longer expression:
 #
@@ -280,7 +280,7 @@ split_before_first_argument=False
 
 # Set to True to prefer splitting before 'and' or 'or' rather than
 # after.
-split_before_logical_operator=True
+split_before_logical_operator=False
 
 # Split named assignments onto individual lines.
 split_before_named_assigns=True
@@ -299,7 +299,7 @@ split_before_named_assigns=True
 #       a_long_var + 100
 #       for a_long_var in xrange(1000)
 #       if a_long_var % 10]
-split_complex_comprehension=False
+split_complex_comprehension=True
 
 # The penalty for splitting right after the opening bracket.
 split_penalty_after_opening_bracket=300
@@ -320,7 +320,7 @@ split_penalty_bitwise_operator=300
 
 # The penalty for splitting a list comprehension or generator
 # expression.
-split_penalty_comprehension=80
+split_penalty_comprehension=2100
 
 # The penalty for characters over the column limit.
 split_penalty_excess_character=7000

From 1d6a25e73882659a51990d841586eacff1e01b2e Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Tue, 28 Jan 2020 01:02:08 -0800
Subject: [PATCH 041/272] Auto format with yapf, reduce lint err to 35
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(mf-flask-api) ✗ ./format.sh
Reformatting database_wrapper.py
Reformatting db_config.py
Reformatting db_wrapper.py
Reformatting demo.py
Reformatting flask_api.py
Reformatting gunicorn_config.py
Reformatting Entity/Clubs.py
Reformatting Entity/Corequisites.py
Reformatting Entity/Corrections.py
Reformatting Entity/Courses.py
Reformatting modules/formatters.py
Reformatting modules/validators.py

(venv) ➜  api git:(mf-flask-api) ✗ ./lint.sh
./database_wrapper.py:11:1: E265 block comment should start with '# '
#!/usr/bin/env python3
^
./database_wrapper.py:14:1: F401 'typing.Any' imported but unused
from typing import Any, Optional
^
./database_wrapper.py:69:19: F821 undefined name 'List'
            prop: List[str],
                  ^
./database_wrapper.py:72:55: F821 undefined name 'List'
            condition_value: Optional[str] = None) -> List[str]:
                                                      ^
./database_wrapper.py:72:55: F821 undefined name 'List'
            condition_value: Optional[str] = None) -> List[str]:
                                                      ^
./database_wrapper.py:97:19: F821 undefined name 'List'
            prop: List[str],
                  ^
./database_wrapper.py:103:55: F821 undefined name 'List'
            condition_value: Optional[str] = None) -> List[str]:
                                                      ^
./database_wrapper.py:103:55: F821 undefined name 'List'
            condition_value: Optional[str] = None) -> List[str]:
                                                      ^
./database_wrapper.py:108:128: E501 line too long (130 > 127 characters)
        """A higher-order function to ????

        Example:
        >>> db = NimbusDatabase("config.json")
        >>> db.get_property_from_related_entities(["firstName", "lastName", "ohRoom"], "Professors", "OfficeHours", "professorId")
        [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]

        >>> db.get_property_from_related_entities(["firstName", "lastName"], "Professors", "OfficeHours", "professorId", "firstName", "Foaad")
        [("Foaad", "Khosmood", "14-213")]

        Args:
            entity: TODO
            prop: TODO

        Returns:
            TODO
        """
                                                                                                                               ^
./database_wrapper.py:111:128: E501 line too long (142 > 127 characters)
        """A higher-order function to ????

        Example:
        >>> db = NimbusDatabase("config.json")
        >>> db.get_property_from_related_entities(["firstName", "lastName", "ohRoom"], "Professors", "OfficeHours", "professorId")
        [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]

        >>> db.get_property_from_related_entities(["firstName", "lastName"], "Professors", "OfficeHours", "professorId", "firstName", "Foaad")
        [("Foaad", "Khosmood", "14-213")]

        Args:
            entity: TODO
            prop: TODO

        Returns:
            TODO
        """
                                                                                                                               ^
./database_wrapper.py:130:89: W291 trailing whitespace
        """
        TODO: given an entity, return all the field names of that table in the database.
        """
                                                                                        ^
./database_wrapper.py:277:53: F821 undefined name 'List'
    def get_professor_properties(self, lastName) -> List[str]:
                                                    ^
./database_wrapper.py:277:53: F821 undefined name 'List'
    def get_professor_properties(self, lastName) -> List[str]:
                                                    ^
./database_wrapper.py:278:9: E265 block comment should start with '# '
        #TODO: need to change the get property from entity to accept multiple condition fields and values, currently just looks by last name
        ^
./database_wrapper.py:278:128: E501 line too long (140 > 127 characters)
        #TODO: need to change the get property from entity to accept multiple condition fields and values, currently just looks by last name
                                                                                                                               ^
./database_wrapper.py:280:51: W291 trailing whitespace
        """
        To get a particular professor's properties

        """
                                                  ^
./database_wrapper.py:282:1: W293 blank line contains whitespace
        """
        To get a particular professor's properties

        """
^
./database_wrapper.py:286:9: F841 local variable 'props' is assigned to but never used
        props = get_property_from_entity(self, ["*"],
        ^
./database_wrapper.py:286:17: F821 undefined name 'get_property_from_entity'
        props = get_property_from_entity(self, ["*"],
                ^
./database_wrapper.py:294:52: F821 undefined name 'List'
    def get_course_properties(self, courseName) -> List[str]:
                                                   ^
./database_wrapper.py:294:52: F821 undefined name 'List'
    def get_course_properties(self, courseName) -> List[str]:
                                                   ^
./database_wrapper.py:295:9: E265 block comment should start with '# '
        #TODO: decide how we want to look up courses/ maybe create two methods. Currently looks up by courseName
        ^
./database_wrapper.py:300:9: F841 local variable 'props' is assigned to but never used
        props = get_property_from_entity(self, ["*"],
        ^
./database_wrapper.py:300:17: F821 undefined name 'get_property_from_entity'
        props = get_property_from_entity(self, ["*"],
                ^
./flask_api.py:6:1: F401 'time' imported but unused
import time
^
./flask_api.py:7:1: F401 'flask.session' imported but unused
from flask import Flask, jsonify, request, session
^
./flask_api.py:46:24: E712 comparison to False should be 'if cond is False:' or 'if not cond:'
    if request.is_json == False:
                       ^
./db_wrapper.py:90:1: W293 blank line contains whitespace
    """ Answers the question of when can I take "X"course?

    Args:
        cxn: MySQL database connection object
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A list including courseName and a set of terms offered for specified course
    """
^
./db_wrapper.py:91:10: W291 trailing whitespace
    """ Answers the question of when can I take "X"course?

    Args:
        cxn: MySQL database connection object
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A list including courseName and a set of terms offered for specified course
    """
         ^
./db_wrapper.py:116:1: W293 blank line contains whitespace
    """ Answers the question of 'Does [Professor] teach [Course]'?

    Args:
        cxn: MySQL database connection object
        prof: the name of the professor. If first and last name expressed, otherwise, last name
        will be used alone
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A boolean
    """
^
./db_wrapper.py:117:10: W291 trailing whitespace
    """ Answers the question of 'Does [Professor] teach [Course]'?

    Args:
        cxn: MySQL database connection object
        prof: the name of the professor. If first and last name expressed, otherwise, last name
        will be used alone
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A boolean
    """
         ^
./db_wrapper.py:119:96: W291 trailing whitespace
    """ Answers the question of 'Does [Professor] teach [Course]'?

    Args:
        cxn: MySQL database connection object
        prof: the name of the professor. If first and last name expressed, otherwise, last name
        will be used alone
        course: the course user wants terms from. Expected format is string
        "department courseNum"
    Returns:
        A boolean
    """
                                                                                               ^
./db_wrapper.py:133:5: E265 block comment should start with '# '
    #this can be an article of discussion for matching professor names
    ^
./modules/validators.py:14:128: E501 line too long (138 > 127 characters)
        """Takes measures to fill in missing data in form, cloning, mutating and then returning the data. If not possible, raises error"""
                                                                                                                               ^
./modules/validators.py:54:13: E722 do not use bare 'except'
            except:
            ^
4     E265 block comment should start with '# '
4     E501 line too long (130 > 127 characters)
1     E712 comparison to False should be 'if cond is False:' or 'if not cond:'
1     E722 do not use bare 'except'
3     F401 'typing.Any' imported but unused
12    F821 undefined name 'List'
2     F841 local variable 'props' is assigned to but never used
5     W291 trailing whitespace
3     W293 blank line contains whitespace
35
(venv) ➜  api git:(mf-flask-api) ✗
---
 Entity/Clubs.py        | 26 +++++++++----------
 Entity/Corequisites.py |  5 ++--
 Entity/Corrections.py  | 11 ++++----
 Entity/Courses.py      | 32 +++++++++++++-----------
 database_wrapper.py    | 57 +++++++++++++++++++++---------------------
 db_wrapper.py          | 13 ++++------
 demo.py                |  5 +---
 flask_api.py           | 25 +++++++++---------
 gunicorn_config.py     |  3 ---
 modules/formatters.py  |  3 +--
 modules/validators.py  | 43 ++++++++++++++++++++-----------
 11 files changed, 115 insertions(+), 108 deletions(-)

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index 4a0929e..79b15c9 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -1,14 +1,14 @@
 class Clubs:
-    def __init__(self, idClubs, types,
-                 desc, contactEmail, contactEmail2, contactPerson,
-                 contactPhone, box, advisorId, affiliation):
-        self.idClubs=idClubs
-        self.types=types
-        self.desc=desc
-        self.contactEmail=contactEmail
-        self.contactEmail2=contactEmail2
-        self.contactPerson=contactPerson
-        self.contactPhone=contactPhone
-        self.box=box
-        self.advisorId=advisorId
-        self.affiliation=affiliation
\ No newline at end of file
+
+    def __init__(self, idClubs, types, desc, contactEmail, contactEmail2,
+                 contactPerson, contactPhone, box, advisorId, affiliation):
+        self.idClubs = idClubs
+        self.types = types
+        self.desc = desc
+        self.contactEmail = contactEmail
+        self.contactEmail2 = contactEmail2
+        self.contactPerson = contactPerson
+        self.contactPhone = contactPhone
+        self.box = box
+        self.advisorId = advisorId
+        self.affiliation = affiliation
diff --git a/Entity/Corequisites.py b/Entity/Corequisites.py
index 29be6f5..d597009 100644
--- a/Entity/Corequisites.py
+++ b/Entity/Corequisites.py
@@ -1,4 +1,5 @@
 class Corequisites:
+
     def __init__(self, courseId, coreqCourse):
-        self.courseId=courseId
-        self.coreqCourse=coreqCourse
\ No newline at end of file
+        self.courseId = courseId
+        self.coreqCourse = coreqCourse
diff --git a/Entity/Corrections.py b/Entity/Corrections.py
index ce4ebcc..06347db 100644
--- a/Entity/Corrections.py
+++ b/Entity/Corrections.py
@@ -1,8 +1,9 @@
 class Corrections:
+
     def __init__(self, correctionId, rawText, correctionText,
                  tableNameToCorrect, columnNameToCorrect):
-        self.correctionId=correctionId
-        self.rawText=rawText
-        self.correctionText=correctionText
-        self.tableNameToCorrect=tableNameToCorrect
-        self.columnNameToCorrect=columnNameToCorrect
\ No newline at end of file
+        self.correctionId = correctionId
+        self.rawText = rawText
+        self.correctionText = correctionText
+        self.tableNameToCorrect = tableNameToCorrect
+        self.columnNameToCorrect = columnNameToCorrect
diff --git a/Entity/Courses.py b/Entity/Courses.py
index d8d09bd..3e628da 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -1,16 +1,18 @@
 class Courses:
-    def __init__(self, courseId, dept, courseNum, termsOffered, units, courseName,
-                 raw_concurrent_text, raw_recommended_text, raw_prerequisites_text, crossListedAs,
-                 raw_standing_text, standing):
-        self.courseId=courseId
-        self.dept=dept
-        self.courseNum=courseNum
-        self.termsOffered=termsOffered
-        self.units=units
-        self.courseName=courseName
-        self.raw_concurrent_text=raw_concurrent_text
-        self.raw_recommended_text=raw_recommended_text
-        self.raw_prerequisites_text=raw_prerequisites_text
-        self.crossListedAs=crossListedAs
-        self.raw_standing_text=raw_standing_text
-        self.standing=standing
+
+    def __init__(self, courseId, dept, courseNum, termsOffered, units,
+                 courseName, raw_concurrent_text, raw_recommended_text,
+                 raw_prerequisites_text, crossListedAs, raw_standing_text,
+                 standing):
+        self.courseId = courseId
+        self.dept = dept
+        self.courseNum = courseNum
+        self.termsOffered = termsOffered
+        self.units = units
+        self.courseName = courseName
+        self.raw_concurrent_text = raw_concurrent_text
+        self.raw_recommended_text = raw_recommended_text
+        self.raw_prerequisites_text = raw_prerequisites_text
+        self.crossListedAs = crossListedAs
+        self.raw_standing_text = raw_standing_text
+        self.standing = standing
diff --git a/database_wrapper.py b/database_wrapper.py
index 362545c..ed33fd5 100644
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -37,17 +37,17 @@ def __init__(self, message: str):
         self.message = message
 
 
-        
-        
 """
 utilities.py
 """
+
+
 def get_current_time():
     """
     Useful for answering questions like "Is prof availible now/tomorrow?"
     """
     pass
-        
+
 
 class NimbusDatabase(ABC):
     """
@@ -63,13 +63,13 @@ def __init__(self, config_file: str = 'config.json') -> None:
         """
         pass
 
-    
     @abstractmethod
-    def get_property_from_entity(self, 
-                                 prop: List[str],
-                                 entity: str, 
-                                 condition_field: Optional[str] = None,
-                                 condition_value: Optional[str] = None) -> List[str]:
+    def get_property_from_entity(
+            self,
+            prop: List[str],
+            entity: str,
+            condition_field: Optional[str] = None,
+            condition_value: Optional[str] = None) -> List[str]:
         """A higher-order function to get properties from entity in the database.
 
         Example:
@@ -92,14 +92,15 @@ def get_property_from_entity(self,
         pass
 
     @abstractmethod
-    def get_property_from_related_entities(self,
-                                           prop: List[str],
-                                           entity1: str,
-                                           entity2: str,
-                                           key1: str, 
-                                           key2: Optional[str] = None,
-                                           condition_field: Optional[str] = None,
-                                           condition_value: Optional[str] = None) -> List[str]:
+    def get_property_from_related_entities(
+            self,
+            prop: List[str],
+            entity1: str,
+            entity2: str,
+            key1: str,
+            key2: Optional[str] = None,
+            condition_field: Optional[str] = None,
+            condition_value: Optional[str] = None) -> List[str]:
         """A higher-order function to ????
 
         Example:
@@ -118,13 +119,11 @@ def get_property_from_related_entities(self,
             TODO
         """
         pass
-        
-    
+
     @abstractmethod
     def get_entities(self) -> str:
         pass
 
-
     @abstractmethod
     def get_fields_of_entity(self, entity1: str) -> str:
         """
@@ -208,8 +207,7 @@ def __init__(self, config_file: str = 'config.json') -> None:
             self.connection = mysql.connector.connect(
                 host=mysql_config['host'],
                 user=mysql_config['user'],
-                passwd=mysql_config['password']
-            )
+                passwd=mysql_config['password'])
 
             self.database = mysql_config['database']
 
@@ -285,24 +283,27 @@ def get_professor_properties(self, lastName) -> List[str]:
         """
         cursor = self.connection.cursor()
         cursor.execute('use `{}`'.format(self.database))
-        props = get_property_from_entity(self, ["*"], "Professors", condition_field = "lastName", condition_value = lastName)
+        props = get_property_from_entity(self, ["*"],
+                                         "Professors",
+                                         condition_field="lastName",
+                                         condition_value=lastName)
         tups = cursor.fetchall()
         cursor.close()
         return [x[0] for x in tups]
 
-    def get_course_properties(self, courseName) -> List[str]: 
+    def get_course_properties(self, courseName) -> List[str]:
         #TODO: decide how we want to look up courses/ maybe create two methods. Currently looks up by courseName
         """
         """
         cursor = self.connection.cursor()
         cursor.execute('use `{}`'.format(self.database))
-        props = get_property_from_entity(self, ["*"], "Courses", condition_field = "courseName", condition_value = courseName)
+        props = get_property_from_entity(self, ["*"],
+                                         "Courses",
+                                         condition_field="courseName",
+                                         condition_value=courseName)
         tups = cursor.fetchall()
         cursor.close()
         return [x[0] for x in tups]
-    
-
-
 
     def close(self) -> None:
         """Close the database connection"""
diff --git a/db_wrapper.py b/db_wrapper.py
index dd816a8..ae21ceb 100755
--- a/db_wrapper.py
+++ b/db_wrapper.py
@@ -4,14 +4,14 @@
 from db_config_sample import CONFIG
 import time
 
+
 def connect():
-    cxn = m.connect(
-        host=CONFIG['host'],
-        user=CONFIG['user'],
-        passwd=CONFIG['password']
-    )
+    cxn = m.connect(host=CONFIG['host'],
+                    user=CONFIG['user'],
+                    passwd=CONFIG['password'])
     return cxn
 
+
 def get_databases(cxn):
     """
     Args:
@@ -127,7 +127,6 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
 
     c.execute("use dev")
 
-
     query = "SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like \"%"
     query += profLastName + "%\""
 
@@ -149,8 +148,6 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     return True
 
 
-
-
 if __name__ == "__main__":
     cxn = connect()
 
diff --git a/demo.py b/demo.py
index a96806b..4baae3f 100644
--- a/demo.py
+++ b/demo.py
@@ -1,7 +1,6 @@
 #!/usr/bin/env python3
 from database_wrapper import NimbusMySQL
 
-
 if __name__ == '__main__':
     db = NimbusMySQL(config_file="config.json")
 
@@ -13,8 +12,6 @@
 
     print("Unique departments?:", uniq_depts)
 
-    bitcounts = db.get_bitcount(
-        entity="Courses",
-        prop="termsOffered")
+    bitcounts = db.get_bitcount(entity="Courses", prop="termsOffered")
 
     print("How many terms is CSC 100 offered?:", bitcounts[0])
diff --git a/flask_api.py b/flask_api.py
index 70f1338..988223e 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -12,7 +12,6 @@
 from pydrive.auth import GoogleAuth
 import gunicorn_config
 
-
 BAD_REQUEST = 400
 SUCCESS = 200
 
@@ -112,15 +111,8 @@ def create_filename(form):
     """Creates a string filename that adheres to the Nimbus foramtting standard."""
 
     order = [
-        'isWakeWord',
-        'noiseLevel',
-        'tone',
-        'location',
-        'gender',
-        'lastName',
-        'firstName',
-        'timestamp',
-        'username'
+        'isWakeWord', 'noiseLevel', 'tone', 'location', 'gender', 'lastName',
+        'firstName', 'timestamp', 'username'
     ]
     values = list(map(lambda key: str(form[key]), order))
     return '_'.join(values) + '.wav'
@@ -142,8 +134,14 @@ def save_audiofile(filename, content):
     # parent is our automatically uploaded file folder.  The ID should be read in from
     # folder_id.txt since we probably shouldn't have that ID floating around on GitHub"""
     folder_id = get_folder_id()
-    file = drive.CreateFile({"parents": [{"kind": "drive#fileLink",
-                                          "id": folder_id}], 'title': filename, 'mimeType': 'audio/wav'})
+    file = drive.CreateFile({
+        "parents": [{
+            "kind": "drive#fileLink",
+            "id": folder_id
+        }],
+        'title': filename,
+        'mimeType': 'audio/wav'
+    })
     # Set the content of the file to the POST request's wav_file parameter.
     file.content = content
     file.Upload()  # Upload file.
@@ -160,5 +158,6 @@ def convert_to_mfcc():
 
 
 if __name__ == '__main__':
-    app.run(host='0.0.0.0', debug=gunicorn_config.DEBUG_MODE,
+    app.run(host='0.0.0.0',
+            debug=gunicorn_config.DEBUG_MODE,
             port=gunicorn_config.PORT)
diff --git a/gunicorn_config.py b/gunicorn_config.py
index cc95db8..a68e359 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -1,8 +1,6 @@
-
 from os import environ
 import multiprocessing
 
-
 PORT = int(environ.get("PORT", 8080))
 DEBUG_MODE = int(environ.get("DEBUG_MODE", 1))
 
@@ -10,4 +8,3 @@
 bind = ":" + str(PORT)
 workers = multiprocessing.cpu_count() * 2 + 1
 threads = 2 * multiprocessing.cpu_count()
-
diff --git a/modules/formatters.py b/modules/formatters.py
index e158c6a..e5db297 100644
--- a/modules/formatters.py
+++ b/modules/formatters.py
@@ -1,4 +1,3 @@
-
 class Formatter:
     """Formatter abstract class. Describes contract for all child formatters"""
 
@@ -20,7 +19,7 @@ def format(self, data):
         form = data.copy()
         for key in form:
             if key == 'isWakeWord':
-                form[key] = 'ww' if(form[key]) else 'nww'
+                form[key] = 'ww' if (form[key]) else 'nww'
             elif key == 'timestamp':
                 form[key] = int(form[key])
             else:
diff --git a/modules/validators.py b/modules/validators.py
index dc10085..279f5be 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -21,15 +21,27 @@ class WakeWordValidator(Validator):
     def __init__(self, validators=None):
         super().__init__()
         self.validators = validators or {
-            'isWakeWord': lambda val: type(val) == str and (val == 'true' or val == 'false'),
-            'noiseLevel': lambda level: type(level) == str and level in 'qml' and len(level) == 1,
-            'tone': lambda tone: type(tone) == str,
-            'location': lambda location: type(location) == str,
-            'gender': lambda gender: type(gender) == str and gender in 'mf' and len(gender) == 1,
-            'lastName': lambda lastName: type(lastName) == str,
-            'firstName': lambda firstName: type(firstName) == str,
-            'timestamp': lambda timestamp: str.isdigit(timestamp),
-            'username': lambda username: type(username) == str,
+            'isWakeWord':
+                lambda val: type(val) == str and
+                (val == 'true' or val == 'false'),
+            'noiseLevel':
+                lambda level: type(level) == str and level in 'qml' and len(
+                    level) == 1,
+            'tone':
+                lambda tone: type(tone) == str,
+            'location':
+                lambda location: type(location) == str,
+            'gender':
+                lambda gender: type(gender) == str and gender in 'mf' and len(
+                    gender) == 1,
+            'lastName':
+                lambda lastName: type(lastName) == str,
+            'firstName':
+                lambda firstName: type(firstName) == str,
+            'timestamp':
+                lambda timestamp: str.isdigit(timestamp),
+            'username':
+                lambda username: type(username) == str,
         }
 
     def validate(self, data):
@@ -41,7 +53,7 @@ def validate(self, data):
                 val = data[key]
             except:
                 issues[key] = 'DNE'
-            if(not validator(val)):
+            if (not validator(val)):
                 issues[key] = 'invalid'
         return issues
 
@@ -50,17 +62,18 @@ def fix(self, data, issues):
         form = data.copy()
         for key in issues:
             issue = issues[key]
-            if(issue == 'DNE'):
-                if(key == 'username'):
+            if (issue == 'DNE'):
+                if (key == 'username'):
                     form[key] = 'guest'
-                elif(key == 'timestamp'):
+                elif (key == 'timestamp'):
                     form[key] = int(time.time())
                     print('fixed timestamp', form[key])
                 else:
                     raise ValueError(
                         f"Required audio metadata '{key}' was not provided")
-            elif(issue == 'invalid'):
+            elif (issue == 'invalid'):
                 # TODO: anticipate invalid entries and correct them.
                 raise ValueError(
-                    f"{key} has invalid value of {form[key]} with a type of {type(form[key])}")
+                    f"{key} has invalid value of {form[key]} with a type of {type(form[key])}"
+                )
         return form

From 0764203d4c9d9c29efdb1aebd6568153992fc99d Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Tue, 28 Jan 2020 02:14:39 -0800
Subject: [PATCH 042/272] Resolves lint warnings && dead code
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(mf-flask-api) ✗ ./lint.sh --simple
0

(venv) ➜  api git:(mf-flask-api) ✗ ./lint.sh
./lint.sh: line 16: [: =: unary operator expected
./modules/validators.py:61:13: E722 do not use bare 'except'
            except:
            ^
1     E722 do not use bare 'except'
1

(venv) ➜  api git:(mf-flask-api) ✗ ./run.sh
 * Serving Flask app "flask_api" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: on
 * Running on http://0.0.0.0:8080/ (Press CTRL+C to quit)
 * Restarting with stat
 * Debugger is active!
 * Debugger PIN: 287-906-064
127.0.0.1 - - [28/Jan/2020 02:13:44] "GET / HTTP/1.1" 42 -
127.0.0.1 - - [28/Jan/2020 02:13:47] "GET /ask HTTP/1.1" 405 -
---
 README.md             | 19 +++++++++++++---
 database_wrapper.py   | 53 ++++++++++++++++++++++++++-----------------
 db_wrapper.py         | 12 +++++-----
 flask_api.py          | 13 +++++++----
 lint.sh               | 26 +++++++++++++++------
 modules/validators.py | 20 ++++++++++++----
 6 files changed, 96 insertions(+), 47 deletions(-)

diff --git a/README.md b/README.md
index ca18890..20bd959 100644
--- a/README.md
+++ b/README.md
@@ -58,15 +58,26 @@ python3 nimbus_api.py&
 pytest
 ```
 
+### Python PEP8 Style Standards
+**_Run the `format` script to automatically make our code look nice_**
+```bash
+./format.sh
+```
+
+_Sometimes the format script is not enough, so run `lint` to manually style our code_
+```bash
+./lint.sh
+```
+
 
 ## Contributing
 ![GitHub issues](https://img.shields.io/github/issues/calpoly-csai/api)
 
-Have a [**look at the v1.0 project board for TODOs**](https://github.com/calpoly-csai/api/projects/1)! 
+Have a [**look at the v1.0 project board for TODOs**](https://github.com/calpoly-csai/api/projects/1)!
 
 If you are new to programming, then filter for the [**![good first issue](https://img.shields.io/github/labels/calpoly-csai/api/good%20first%20issue)** label](https://github.com/calpoly-csai/api/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
 
-Pull requests are welcome. 
+Pull requests are welcome.
 
 For major changes, please [**open an issue**](https://github.com/calpoly-csai/api/issues/new) first to discuss what you would like to change.
 
@@ -86,6 +97,8 @@ Please make sure to update tests as appropriate.
 
 [Daniel DeFoe](https://www.github.com/danield2255)
 
+[Taylor Nguyen](https://www.github.com/taylor-nguyen-987)
+
 [Adam Perlin](https://www.github.com/adamperlin)
 
 [Simon Ibssa](https://www.github.com/ibssasimon)
@@ -96,4 +109,4 @@ Please make sure to update tests as appropriate.
 
 [Tyler Campanile](https://www.github.com/tecampani)
 
-[Steven Bradley](https://www.github.com/stbradle)
+[Steven Bradley](https://www.github.com/stbradle)
\ No newline at end of file
diff --git a/database_wrapper.py b/database_wrapper.py
index ed33fd5..f859c43 100644
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 """A wrapper module for the Nimbus data storage systems.
 
 This module includes various adapters for interfacing with
@@ -8,10 +9,9 @@
     db = NimbusMySQL(config_file="config.json")
     ents = db.get_entities()
 """
-#!/usr/bin/env python3
 import mysql.connector
 from abc import ABC, abstractmethod
-from typing import Any, Optional
+from typing import Optional, List
 import json
 
 
@@ -70,14 +70,16 @@ def get_property_from_entity(
             entity: str,
             condition_field: Optional[str] = None,
             condition_value: Optional[str] = None) -> List[str]:
-        """A higher-order function to get properties from entity in the database.
+        """A high-order function to get properties from objects in the database.
 
         Example:
         >>> db = NimbusDatabase("config.json")
-        >>> db.get_property_from_entity(["firstName", "lastName"], "Professors")
+        >>> db.get_property_from_entity(["firstName", "lastName"],
+                                        "Professors")
         [("Foaad", "Khosmood"), ("John", "Clements"), ...]
 
-        >>> db.get_property_from_entity(["firstName", "lastName"], "Professors", "firstName", "Foaad")
+        >>> db.get_property_from_entity(["firstName", "lastName"],
+                                        "Professors", "firstName", "Foaad")
         [("Foaad", "Khosmood")]
 
         Args:
@@ -105,10 +107,15 @@ def get_property_from_related_entities(
 
         Example:
         >>> db = NimbusDatabase("config.json")
-        >>> db.get_property_from_related_entities(["firstName", "lastName", "ohRoom"], "Professors", "OfficeHours", "professorId")
+        >>> db.get_property_from_related_entities(
+                        ["firstName", "lastName", "ohRoom"],
+                        "Professors", "OfficeHours", "professorId")
         [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]
 
-        >>> db.get_property_from_related_entities(["firstName", "lastName"], "Professors", "OfficeHours", "professorId", "firstName", "Foaad")
+        >>> db.get_property_from_related_entities(
+                        ["firstName", "lastName"],
+                        "Professors", "OfficeHours",
+                        "professorId", "firstName", "Foaad")
         [("Foaad", "Khosmood", "14-213")]
 
         Args:
@@ -127,7 +134,9 @@ def get_entities(self) -> str:
     @abstractmethod
     def get_fields_of_entity(self, entity1: str) -> str:
         """
-        TODO: given an entity, return all the field names of that table in the database. 
+        TODO:
+        given an entity,
+        return all the field names of that table in the database.
         """
         pass
 
@@ -275,32 +284,34 @@ def get_bitcount(self, entity, prop) -> str:
         return [x[0] for x in tups]
 
     def get_professor_properties(self, lastName) -> List[str]:
-        #TODO: need to change the get property from entity to accept multiple condition fields and values, currently just looks by last name
+        # TODO: need to change the get property from entity to accept multiple
+        #       condition fields and values, currently just looks by last name
         """
-        To get a particular professor's properties 
-
-        
+        To get a particular professor's properties
         """
         cursor = self.connection.cursor()
         cursor.execute('use `{}`'.format(self.database))
-        props = get_property_from_entity(self, ["*"],
-                                         "Professors",
-                                         condition_field="lastName",
-                                         condition_value=lastName)
+        # FIXME: resolve unused variable `props`, until then, commented out
+        # props = get_property_from_entity(self, ["*"],
+        #                                  "Professors",
+        #                                  condition_field="lastName",
+        #                                  condition_value=lastName)
         tups = cursor.fetchall()
         cursor.close()
         return [x[0] for x in tups]
 
     def get_course_properties(self, courseName) -> List[str]:
-        #TODO: decide how we want to look up courses/ maybe create two methods. Currently looks up by courseName
+        # TODO: decide how we want to look up courses/ maybe create two methods
+        #       Currently looks up by courseName
         """
         """
         cursor = self.connection.cursor()
         cursor.execute('use `{}`'.format(self.database))
-        props = get_property_from_entity(self, ["*"],
-                                         "Courses",
-                                         condition_field="courseName",
-                                         condition_value=courseName)
+        # FIXME: resolve unused variable `props`, until then, commented out
+        # props = get_property_from_entity(self, ["*"],
+        #                                  "Courses",
+        #                                  condition_field="courseName",
+        #                                  condition_value=courseName)
         tups = cursor.fetchall()
         cursor.close()
         return [x[0] for x in tups]
diff --git a/db_wrapper.py b/db_wrapper.py
index ae21ceb..950e247 100755
--- a/db_wrapper.py
+++ b/db_wrapper.py
@@ -87,8 +87,8 @@ def what_courses_can_i_take(cxn):
 
 def courses_offered(cxn, course):
     """ Answers the question of when can I take "X"course?
-        
-    Args: 
+
+    Args:
         cxn: MySQL database connection object
         course: the course user wants terms from. Expected format is string
         "department courseNum"
@@ -113,10 +113,10 @@ def courses_offered(cxn, course):
 
 def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     """ Answers the question of 'Does [Professor] teach [Course]'?
-        
-    Args: 
+
+    Args:
         cxn: MySQL database connection object
-        prof: the name of the professor. If first and last name expressed, otherwise, last name 
+        prof: the name of the professor. If first and last name expressed, otherwise, last name
         will be used alone
         course: the course user wants terms from. Expected format is string
         "department courseNum"
@@ -130,7 +130,7 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     query = "SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like \"%"
     query += profLastName + "%\""
 
-    #this can be an article of discussion for matching professor names
+    # this can be an article of discussion for matching professor names
     if profFirstName != "":
         query += " and p.firstName likel \"%"
         query += profFirstName + "%\""
diff --git a/flask_api.py b/flask_api.py
index 988223e..cc3dabe 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -3,8 +3,7 @@
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
-import time
-from flask import Flask, jsonify, request, session
+from flask import Flask, jsonify, request
 from flask_cors import CORS
 from modules.validators import WakeWordValidator
 from modules.formatters import WakeWordFormatter
@@ -43,7 +42,7 @@ def handle_question():
         * storage of the logs of this question-answer-session.
     """
 
-    if request.is_json == False:
+    if request.is_json is False:
         return "request must be JSON", BAD_REQUEST
 
     request_body = request.get_json()
@@ -108,7 +107,9 @@ def save_a_recording():
 
 
 def create_filename(form):
-    """Creates a string filename that adheres to the Nimbus foramtting standard."""
+    """
+    Creates a string filename that adheres to the Nimbus foramtting standard.
+    """
 
     order = [
         'isWakeWord', 'noiseLevel', 'tone', 'location', 'gender', 'lastName',
@@ -119,7 +120,9 @@ def create_filename(form):
 
 
 def resample_audio():
-    """Resample the audio file to adhere to the Nimbus audio sampling standard."""
+    """
+    Resample the audio file to adhere to the Nimbus audio sampling standard.
+    """
     pass
 
 
diff --git a/lint.sh b/lint.sh
index a57c7ff..ee249cf 100755
--- a/lint.sh
+++ b/lint.sh
@@ -13,10 +13,22 @@
 
 
 
-# default is 79, but members of the team agreed upon a slight increase
-# The GitHub editor is 127 chars wide
-flake8 --count \
-       --show-source --statistics \
-       --exclude .git,__pycache__,venv,build,dist,docs \
-       --max-complexity 10 \
-       --max-line-length=127
+if [ $1 = "--simple" ]; then 
+        # default is 79, but members of the team agreed upon a slight increase
+        # The GitHub editor is 127 chars wide
+        # ignore E772: do not use bare 'except'
+        flake8 --count \
+               --ignore E722 \
+               --show-source --statistics \
+               --exclude .git,__pycache__,venv,build,dist,docs \
+               --max-complexity 10 \
+               --max-line-length=127
+else
+        # default is 79, but members of the team agreed upon a slight increase
+        # The GitHub editor is 127 chars wide
+        flake8 --count \
+               --show-source --statistics \
+               --exclude .git,__pycache__,venv,build,dist,docs \
+               --max-complexity 10 \
+               --max-line-length=127
+fi
diff --git a/modules/validators.py b/modules/validators.py
index 279f5be..9ba1acd 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -11,7 +11,10 @@ def validate(self, data):
         return data
 
     def fix(self, data, issues):
-        """Takes measures to fill in missing data in form, cloning, mutating and then returning the data. If not possible, raises error"""
+        """
+        Takes measures to fill in missing data in form, cloning, mutating and then returning the data.
+        If not possible, raises error.
+        """
         return data
 
 
@@ -22,8 +25,9 @@ def __init__(self, validators=None):
         super().__init__()
         self.validators = validators or {
             'isWakeWord':
-                lambda val: type(val) == str and
-                (val == 'true' or val == 'false'),
+                lambda val: type(val) == str and (
+                    val == 'true' or val == 'false'
+                ),
             'noiseLevel':
                 lambda level: type(level) == str and level in 'qml' and len(
                     level) == 1,
@@ -45,7 +49,10 @@ def __init__(self, validators=None):
         }
 
     def validate(self, data):
-        """Checks if the Wake Word audio metadata is complete and in its correct form. Returns array of issues."""
+        """
+        Checks if the Wake Word audio metadata is complete and in its correct form.
+        Returns array of issues.
+        """
         issues = {}
         for key in self.validators:
             validator = self.validators[key]
@@ -58,7 +65,10 @@ def validate(self, data):
         return issues
 
     def fix(self, data, issues):
-        """Attempts to fix Wake Word audio metadata. If the data issue is irreplaceable, raises ValueError"""
+        """
+        Attempts to fix Wake Word audio metadata.
+        If the data issue is irreplaceable, raises ValueError.
+        """
         form = data.copy()
         for key in issues:
             issue = issues[key]

From e9ebe5fb55274b9f8d3b9d6468b8558f975990df Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Tue, 28 Jan 2020 06:05:33 -0800
Subject: [PATCH 043/272] setup test scripts, and quick patches of lint,
 format, also add type_check
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(dev) ✗ ./run_tests.sh
========================================================================= test session starts =========================================================================
platform darwin -- Python 3.6.8, pytest-5.3.1, py-1.8.0, pluggy-0.13.1
rootdir: /Users/mfekadu/GitHub/api
plugins: pylint-0.14.1, hypothesis-5.1.5
collected 1 item

tests/hypothesis_example.py .                                                                                                                                   [100%]

========================================================================== 1 passed in 0.48s ==========================================================================
(venv) ➜  api git:(dev) ✗
---
 .github/workflows/deploy_staging.yml |  4 +--
 .github/workflows/style_check.yml    | 11 +++++---
 .github/workflows/test.yml           | 15 +++++------
 .github/workflows/type_check.yml     | 38 ++++++++++++++++++++++++++++
 .gitignore                           |  4 +++
 format.sh                            |  1 +
 lint.sh                              |  6 ++++-
 requirements.txt                     | 13 ++++++++++
 run_tests.sh                         |  2 ++
 tests/hypothesis_example.py          | 34 +++++++++++++++++++++++++
 type_check.sh                        |  4 +++
 11 files changed, 117 insertions(+), 15 deletions(-)
 create mode 100644 .github/workflows/type_check.yml
 create mode 100755 run_tests.sh
 create mode 100755 tests/hypothesis_example.py
 create mode 100755 type_check.sh

diff --git a/.github/workflows/deploy_staging.yml b/.github/workflows/deploy_staging.yml
index 9380fa7..ebafd98 100644
--- a/.github/workflows/deploy_staging.yml
+++ b/.github/workflows/deploy_staging.yml
@@ -2,7 +2,7 @@ name: Deploy Dev To Staging Server
 
 on:
   push:
-    branches: 
+    branches:
       - dev
 
 jobs:
@@ -32,4 +32,4 @@ jobs:
       env:
         HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
       with:
-        args: container:release -a calpoly-csai-nimbus web
+        args: container:release -a calpoly-csai-nimbus web
\ No newline at end of file
diff --git a/.github/workflows/style_check.yml b/.github/workflows/style_check.yml
index 610f117..68d1ae9 100644
--- a/.github/workflows/style_check.yml
+++ b/.github/workflows/style_check.yml
@@ -2,33 +2,36 @@ name: Python PEP8 Style Check
 
 on:
   pull_request:
-    branches: 
+    branches:
       - master
       - dev
   push:
-    branches: 
+    branches:
       - master
       - dev
 
 jobs:
-  build:
+  style_check:
 
     runs-on: ubuntu-latest
 
     steps:
     - uses: actions/checkout@v1
+
     - name: Set up Python 3.6
       uses: actions/setup-python@v1
       with:
         python-version: 3.6
+
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
         pip install -r requirements.txt
+
     - name: Lint with flake8
       run: |
         pip install flake8
         # stop the build if there are Python syntax errors or undefined names
         flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
\ No newline at end of file
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index afe61d2..94bd3a5 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -2,34 +2,33 @@ name: Run Tests
 
 on:
   pull_request:
-    branches: 
+    branches:
       - master
       - dev
   push:
-    branches: 
+    branches:
       - master
       - dev
 
 jobs:
-  build:
+  run_tests:
 
     runs-on: ubuntu-latest
 
     steps:
     - uses: actions/checkout@v1
+
     - name: Set up Python 3.6
       uses: actions/setup-python@v1
       with:
         python-version: 3.6
+
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
         pip install -r requirements.txt
-    - name: Test with just pytest
-      run: |
-        pip install pytest
-        pytest
+
     - name: Test with hypothesis
       run: |
         pip install hypothesis
-        pytest
+        pytest
\ No newline at end of file
diff --git a/.github/workflows/type_check.yml b/.github/workflows/type_check.yml
new file mode 100644
index 0000000..444c136
--- /dev/null
+++ b/.github/workflows/type_check.yml
@@ -0,0 +1,38 @@
+name: Python Pyre Type Annotation Check
+
+on:
+  pull_request:
+    branches:
+      - master
+      - dev
+  push:
+    branches:
+      - master
+      - dev
+
+jobs:
+  type_check:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+
+    - name: Set up Python 3.6
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.6
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+
+    - name: Run the Type Checker
+      run: |
+        echo "todo..."
+        ./type_check.sh
+    - name: Run Type Annotation Coverage
+      run: |
+        echo "todo..."
+        echo "todo..."
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index ce33952..6580292 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,7 @@
+.idea/*
+.pyre/*
+
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
diff --git a/format.sh b/format.sh
index ace2f06..53537d8 100755
--- a/format.sh
+++ b/format.sh
@@ -1,3 +1,4 @@
+#!/bin/bash
 
 
 # --recursive: makes it work on folders
diff --git a/lint.sh b/lint.sh
index ee249cf..80dfc7b 100755
--- a/lint.sh
+++ b/lint.sh
@@ -1,3 +1,6 @@
+#!/bin/bash
+
+
 #flake8 . --count \ 
 #         --select=E9,F63,F7,F82 \ 
 #         --show-source \ 
@@ -13,7 +16,8 @@
 
 
 
-if [ $1 = "--simple" ]; then 
+if [[ $1 == "--simple" ]]
+then
         # default is 79, but members of the team agreed upon a slight increase
         # The GitHub editor is 127 chars wide
         # ignore E772: do not use bare 'except'
diff --git a/requirements.txt b/requirements.txt
index 94be3dc..432e064 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,8 @@
 astroid==2.3.3
+attrs==19.3.0
 cachetools==4.0.0
 Click==7.0
+dataclasses==0.7
 entrypoints==0.3
 flake8==3.7.9
 Flask==1.1.1
@@ -10,25 +12,36 @@ google-auth==1.10.1
 google-auth-httplib2==0.0.3
 gunicorn==20.0.4
 httplib2==0.16.0
+hypothesis==5.3.1
 isort==4.3.21
 itsdangerous==1.1.0
 Jinja2==2.10.3
 lazy-object-proxy==1.4.3
+libcst==0.3.0
 MarkupSafe==1.1.1
 mccabe==0.6.1
+mypy==0.761
+mypy-extensions==0.4.3
 mysql-connector-python==8.0.18
 oauth2client==4.1.3
 protobuf==3.10.0
+psutil==5.6.7
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
 pycodestyle==2.5.0
 PyDrive==1.3.1
 pyflakes==2.1.1
 pylint==2.4.4
+pyre-check==0.0.41
+pyre-extensions==0.0.16
+pywatchman==1.4.1
 PyYAML==5.3
 rsa==4.0
 six==1.13.0
+sortedcontainers==2.1.0
 typed-ast==1.4.0
+typing-extensions==3.7.4.1
+typing-inspect==0.5.0
 uritemplate==3.0.1
 Werkzeug==0.16.0
 wrapt==1.11.2
diff --git a/run_tests.sh b/run_tests.sh
new file mode 100755
index 0000000..6e705b3
--- /dev/null
+++ b/run_tests.sh
@@ -0,0 +1,2 @@
+#!/bin/bash
+pytest tests/*
diff --git a/tests/hypothesis_example.py b/tests/hypothesis_example.py
new file mode 100755
index 0000000..9604f4b
--- /dev/null
+++ b/tests/hypothesis_example.py
@@ -0,0 +1,34 @@
+#!/usr/bin/env python3
+"""
+Read the docs...
+
+https://hypothesis.readthedocs.io/en/latest/quickstart.html
+"""
+
+from typing import List
+from hypothesis import given
+from hypothesis.strategies import lists, text
+
+
+def concat_with_space(lst: List[str]) -> str:
+    """
+    Returns a single string from concatenating a given list of strings.
+
+    Example:
+        >>> concatenate_strings_with_space(['a','b','c'])
+        >>> 'a b c'
+    """
+    s = ""
+    for x in lst:
+        s += x + " "
+    return s
+
+
+@given(
+    lists(
+        text(alphabet="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ",
+             min_size=0)))
+def test_concat_with_space_has_identity_property_when_split_on_space(s):
+    p = concat_with_space(s).split(" ")
+    p.pop()  # because the last " " leaves an empty in list [... ,'']
+    assert p == s
diff --git a/type_check.sh b/type_check.sh
new file mode 100755
index 0000000..7b095c0
--- /dev/null
+++ b/type_check.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+# https://pyre-check.org/docs/guided-tour.html
+# TODO
+pyre --source-directory {{dirname}} check

From bb92b9909b02a04ffe5aa4e4a156419c6da10f68 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Tue, 28 Jan 2020 06:08:08 -0800
Subject: [PATCH 044/272] run the correct test script

---
 .github/workflows/test.yml | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 94bd3a5..7fd84be 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -29,6 +29,4 @@ jobs:
         pip install -r requirements.txt
 
     - name: Test with hypothesis
-      run: |
-        pip install hypothesis
-        pytest
\ No newline at end of file
+      run: ./run_tests.sh
\ No newline at end of file

From be8f2584b636c3474b203afe195d17734be59512 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Tue, 28 Jan 2020 06:11:48 -0800
Subject: [PATCH 045/272] pip install pytest

---
 requirements.txt | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/requirements.txt b/requirements.txt
index 432e064..e548585 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -13,6 +13,7 @@ google-auth-httplib2==0.0.3
 gunicorn==20.0.4
 httplib2==0.16.0
 hypothesis==5.3.1
+importlib-metadata==1.4.0
 isort==4.3.21
 itsdangerous==1.1.0
 Jinja2==2.10.3
@@ -20,20 +21,26 @@ lazy-object-proxy==1.4.3
 libcst==0.3.0
 MarkupSafe==1.1.1
 mccabe==0.6.1
+more-itertools==8.1.0
 mypy==0.761
 mypy-extensions==0.4.3
 mysql-connector-python==8.0.18
 oauth2client==4.1.3
+packaging==20.1
+pluggy==0.13.1
 protobuf==3.10.0
 psutil==5.6.7
+py==1.8.1
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
 pycodestyle==2.5.0
 PyDrive==1.3.1
 pyflakes==2.1.1
 pylint==2.4.4
+pyparsing==2.4.6
 pyre-check==0.0.41
 pyre-extensions==0.0.16
+pytest==5.3.4
 pywatchman==1.4.1
 PyYAML==5.3
 rsa==4.0
@@ -43,6 +50,8 @@ typed-ast==1.4.0
 typing-extensions==3.7.4.1
 typing-inspect==0.5.0
 uritemplate==3.0.1
+wcwidth==0.1.8
 Werkzeug==0.16.0
 wrapt==1.11.2
 yapf==0.29.0
+zipp==2.1.0

From abf5c6cb1eb44692977b4bf4776c2d29bf6bba3b Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Tue, 28 Jan 2020 06:15:16 -0800
Subject: [PATCH 046/272] adds the type_check badge

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 20bd959..86315c4 100644
--- a/README.md
+++ b/README.md
@@ -16,6 +16,8 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 
 ![Python PEP8 Style Check](https://github.com/calpoly-csai/api/workflows/Python%20PEP8%20Style%20Check/badge.svg)
 
+![Python Pyre Type Annotation Check](https://github.com/calpoly-csai/api/workflows/Python%20Pyre%20Type%20Annotation%20Check/badge.svg)
+
 ## Documentation
 
 - [ ] **TODO: INSERT LINK TO API DOCUMENTATION**
@@ -109,4 +111,4 @@ Please make sure to update tests as appropriate.
 
 [Tyler Campanile](https://www.github.com/tecampani)
 
-[Steven Bradley](https://www.github.com/stbradle)
\ No newline at end of file
+[Steven Bradley](https://www.github.com/stbradle)

From 2f1a8527c15e1242cb97c7e3a50419a64e5514c3 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Thu, 30 Jan 2020 12:51:41 -0800
Subject: [PATCH 047/272] Update README so that dev setup is simpler

---
 README.md | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 86315c4..c94d7aa 100644
--- a/README.md
+++ b/README.md
@@ -33,9 +33,7 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 
 2. pip 9.0.1
 
-3. (_for deployment_) A Linux server (e.g. Ubuntu 18.04.3 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
-
-4. The _hostname_, _username_, and _password_ of a MySQL database (e.g. MySQL 5.7.28) inputted into `config.json`
+3. The _hostname_, _username_, and _password_ of a MySQL database (e.g. MySQL 5.7.28) inputted into `config.json`
 
 
 ### Install
@@ -71,6 +69,12 @@ _Sometimes the format script is not enough, so run `lint` to manually style our
 ./lint.sh
 ```
 
+## Deployment
+### What we use
+A Linux server (e.g. Ubuntu 18.04.3 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
+
+[See this documentation of the database deployment process](https://github.com/calpoly-csai/wiki/wiki/How-To-Install-and-Set-Up-a-Remote-MySQL-5.7-Database-and-Python-3.6-on-Ubuntu-18.04-with-Google-Cloud-Platform)
+
 
 ## Contributing
 ![GitHub issues](https://img.shields.io/github/issues/calpoly-csai/api)

From a3f20608683dac9d75c11d3a76919319db67725e Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Thu, 30 Jan 2020 22:20:56 -0800
Subject: [PATCH 048/272] Create pull_request_template.md

---
 .../pull_request_template.md                  | 36 +++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 .github/PULL_REQUEST_TEMPLATE/pull_request_template.md

diff --git a/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md b/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md
new file mode 100644
index 0000000..035d07e
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md
@@ -0,0 +1,36 @@
+## What's New?
+Please include a summary of the change and which issue is fixed. 
+Please also include relevant motivation and context. 
+List any dependencies that are required for this change.
+
+## Fixes #<<ISSUE_NUMBER>> ... (e.g. #9)
+
+## Type of change (pick-one)
+- [ ] Bug fix (_non-breaking change which fixes an issue_)
+- [ ] New feature (_non-breaking change which adds functionality_)
+- [ ] Breaking change (_fix or feature that would cause existing functionality to not work as expected_)
+- [ ] This change requires a documentation update
+
+## How Has This Been Tested?
+Please describe the tests that you ran to verify your changes. 
+Provide instructions so we can reproduce. 
+Please also list any relevant details for your test configuration (hardware/operating system/etc).
+
+## Checklist (check-all-before-merge)
+_formatting help: `- [x]` means "checked' and `- [ ]` means "unchecked"_
+
+- [ ] I documented my code according to the [Google Python Style Guide][1]
+
+- [ ] I ran `./build_docs.sh` and the docs look fine
+
+- [ ] I ran `./type_check.sh` and got no errors
+
+- [ ] I ran `./format.sh` because it automatically cleans my code for me 😄 
+
+- [ ] I ran `./lint.sh` to check for what "format" missed
+
+- [ ] I added my tests to the `/tests` directory
+
+- [ ] I ran `./run_tests.sh` and all the tests pass
+
+[1]: https://google.github.io/styleguide/pyguide.html

From 829e9720bea30ab3a03ddc529bef741ae3c71b2e Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Fri, 31 Jan 2020 09:03:39 -0800
Subject: [PATCH 049/272] pull_request_template.md must be in .github folder

---
 .github/pull_request_template.md | 36 ++++++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 .github/pull_request_template.md

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
new file mode 100644
index 0000000..035d07e
--- /dev/null
+++ b/.github/pull_request_template.md
@@ -0,0 +1,36 @@
+## What's New?
+Please include a summary of the change and which issue is fixed. 
+Please also include relevant motivation and context. 
+List any dependencies that are required for this change.
+
+## Fixes #<<ISSUE_NUMBER>> ... (e.g. #9)
+
+## Type of change (pick-one)
+- [ ] Bug fix (_non-breaking change which fixes an issue_)
+- [ ] New feature (_non-breaking change which adds functionality_)
+- [ ] Breaking change (_fix or feature that would cause existing functionality to not work as expected_)
+- [ ] This change requires a documentation update
+
+## How Has This Been Tested?
+Please describe the tests that you ran to verify your changes. 
+Provide instructions so we can reproduce. 
+Please also list any relevant details for your test configuration (hardware/operating system/etc).
+
+## Checklist (check-all-before-merge)
+_formatting help: `- [x]` means "checked' and `- [ ]` means "unchecked"_
+
+- [ ] I documented my code according to the [Google Python Style Guide][1]
+
+- [ ] I ran `./build_docs.sh` and the docs look fine
+
+- [ ] I ran `./type_check.sh` and got no errors
+
+- [ ] I ran `./format.sh` because it automatically cleans my code for me 😄 
+
+- [ ] I ran `./lint.sh` to check for what "format" missed
+
+- [ ] I added my tests to the `/tests` directory
+
+- [ ] I ran `./run_tests.sh` and all the tests pass
+
+[1]: https://google.github.io/styleguide/pyguide.html

From b25137145bb31ee7a3d95fed671991080ef6de7d Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Fri, 31 Jan 2020 09:04:01 -0800
Subject: [PATCH 050/272] Delete pull_request_template.md

---
 .../pull_request_template.md                  | 36 -------------------
 1 file changed, 36 deletions(-)
 delete mode 100644 .github/PULL_REQUEST_TEMPLATE/pull_request_template.md

diff --git a/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md b/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md
deleted file mode 100644
index 035d07e..0000000
--- a/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md
+++ /dev/null
@@ -1,36 +0,0 @@
-## What's New?
-Please include a summary of the change and which issue is fixed. 
-Please also include relevant motivation and context. 
-List any dependencies that are required for this change.
-
-## Fixes #<<ISSUE_NUMBER>> ... (e.g. #9)
-
-## Type of change (pick-one)
-- [ ] Bug fix (_non-breaking change which fixes an issue_)
-- [ ] New feature (_non-breaking change which adds functionality_)
-- [ ] Breaking change (_fix or feature that would cause existing functionality to not work as expected_)
-- [ ] This change requires a documentation update
-
-## How Has This Been Tested?
-Please describe the tests that you ran to verify your changes. 
-Provide instructions so we can reproduce. 
-Please also list any relevant details for your test configuration (hardware/operating system/etc).
-
-## Checklist (check-all-before-merge)
-_formatting help: `- [x]` means "checked' and `- [ ]` means "unchecked"_
-
-- [ ] I documented my code according to the [Google Python Style Guide][1]
-
-- [ ] I ran `./build_docs.sh` and the docs look fine
-
-- [ ] I ran `./type_check.sh` and got no errors
-
-- [ ] I ran `./format.sh` because it automatically cleans my code for me 😄 
-
-- [ ] I ran `./lint.sh` to check for what "format" missed
-
-- [ ] I added my tests to the `/tests` directory
-
-- [ ] I ran `./run_tests.sh` and all the tests pass
-
-[1]: https://google.github.io/styleguide/pyguide.html

From 6e6441e9ed13cda7c32e081c9fa254345b973088 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Fri, 31 Jan 2020 09:20:23 -0800
Subject: [PATCH 051/272] simplify style check & make it error out if catch

---
 .github/workflows/style_check.yml | 16 ++++++++++++----
 1 file changed, 12 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/style_check.yml b/.github/workflows/style_check.yml
index 68d1ae9..2f4236a 100644
--- a/.github/workflows/style_check.yml
+++ b/.github/workflows/style_check.yml
@@ -31,7 +31,15 @@ jobs:
     - name: Lint with flake8
       run: |
         pip install flake8
-        # stop the build if there are Python syntax errors or undefined names
-        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
-        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
\ No newline at end of file
+
+        flake8 --count \
+               --ignore E722 \
+               --show-source --statistics \
+               --exclude .git,__pycache__,venv,build,dist,docs \
+               --max-complexity 10 \
+               --max-line-length=127
+
+        ## stop the build if there are Python syntax errors or undefined names
+        #flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        ## exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        #flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics

From 046d23d5882f1a3e1d681a40fd161e109b4bbe82 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Fri, 31 Jan 2020 09:40:30 -0800
Subject: [PATCH 052/272] run style_check on PR comment

---
 .github/workflows/style_check.yml | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.github/workflows/style_check.yml b/.github/workflows/style_check.yml
index 2f4236a..f047084 100644
--- a/.github/workflows/style_check.yml
+++ b/.github/workflows/style_check.yml
@@ -9,6 +9,9 @@ on:
     branches:
       - master
       - dev
+  pull_request_review_comment:
+    types: [created]
+
 
 jobs:
   style_check:

From 49271975122fc6954bc51c047faeb545bfe102d7 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Fri, 31 Jan 2020 09:49:29 -0800
Subject: [PATCH 053/272] Run tests on PR comment

---
 .github/workflows/test.yml | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 7fd84be..79e26dc 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -9,6 +9,8 @@ on:
     branches:
       - master
       - dev
+  pull_request_review_comment:
+    types: [created]
 
 jobs:
   run_tests:
@@ -29,4 +31,4 @@ jobs:
         pip install -r requirements.txt
 
     - name: Test with hypothesis
-      run: ./run_tests.sh
\ No newline at end of file
+      run: ./run_tests.sh

From 903cc47cb57bcf9b2fb396d473a56ad7e704a7ed Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 2 Feb 2020 11:27:16 -0800
Subject: [PATCH 054/272] Adds dependency SQLAlchemy

* SQLAlchemy needs the port so that is now added to config.json
* the `sqlalchemy_demo.py` serves as a quickstart with quicklinks to documentation
---
 config_SAMPLE.json |   1 +
 requirements.txt   |   1 +
 sqlalchemy_demo.py | 110 +++++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 112 insertions(+)
 create mode 100644 sqlalchemy_demo.py

diff --git a/config_SAMPLE.json b/config_SAMPLE.json
index e567c7f..8eaeb52 100644
--- a/config_SAMPLE.json
+++ b/config_SAMPLE.json
@@ -1,6 +1,7 @@
 {
     "mysql": {
         "host": "HOSTNAME",
+        "port": "PORT e.g. 3306",
         "user": "USERNAME",
         "password": "PASSWORD",
         "database": "DATABASE",
diff --git a/requirements.txt b/requirements.txt
index e548585..f90e5da 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -46,6 +46,7 @@ PyYAML==5.3
 rsa==4.0
 six==1.13.0
 sortedcontainers==2.1.0
+SQLAlchemy==1.3.13
 typed-ast==1.4.0
 typing-extensions==3.7.4.1
 typing-inspect==0.5.0
diff --git a/sqlalchemy_demo.py b/sqlalchemy_demo.py
new file mode 100644
index 0000000..15cd489
--- /dev/null
+++ b/sqlalchemy_demo.py
@@ -0,0 +1,110 @@
+# http://bytefish.de/blog/first_steps_with_sqlalchemy/
+# https://docs.sqlalchemy.org/en/13/
+# https://www.sqlalchemy.org/library.html
+# ^ if 1.3 is not current release
+
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy import create_engine
+from datetime import datetime, timedelta
+from sqlalchemy import Table, Column, Integer, String, DateTime, ForeignKey
+from sqlalchemy.orm import relationship, backref
+from sqlalchemy.orm import sessionmaker
+from pprint import pprint as pp
+from sqlalchemy import inspect
+import json
+
+Base = declarative_base()
+
+
+class Tag(Base):
+    __tablename__ = 'tags'
+    id = Column(Integer, primary_key=True)
+    name = Column(String(255), unique=True, nullable=False)
+
+    def __repr__(self):
+        return "<Tag (name={})>".format(self.name)
+
+
+# connection
+# https://docs.sqlalchemy.org/en/13/dialects/mysql.html#module-sqlalchemy.dialects.mysql.mysqlconnector
+# engine = create_engine('mysql+mysqlconnector://USERNAME:PASSWORD@HOST_NAME:3306/DATABASE_NAME')
+config_file = 'config.json'
+with open(config_file) as json_data_file:
+    config = json.load(json_data_file)
+
+if config.get('mysql', False):
+    mysql_config = config['mysql']
+    RDBMS = "mysql"
+    PIP_PACKAGE = "mysqlconnector"
+    SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
+        RDBMS, PIP_PACKAGE, mysql_config['user'], mysql_config['password'],
+        mysql_config['host'], mysql_config['port'], mysql_config['database'])
+    engine = create_engine(SQLALCHEMY_DATABASE_URI)
+
+    if engine is None:
+        print("failed to connect to MySQL")
+        exit(1)
+else:
+    print("bad config file")
+    exit(1)
+
+# create metadata
+Base.metadata.create_all(engine)
+
+# create session
+Session = sessionmaker(bind=engine)
+session = Session()
+
+# insert data
+tag_cool = Tag(name='cool')
+tag_car = Tag(name='car')
+tag_animal = Tag(name='animal')
+
+print("TAGS!!")
+print(tag_cool)
+print(tag_car)
+print(tag_animal)
+print()
+
+# notice the `_new` key in the dictionary
+session.add_all([tag_animal, tag_car, tag_cool])
+pp(session.__dict__)
+session.commit()
+
+# query data
+t1 = session.query(Tag).filter(Tag.name == 'cool').first()
+
+print("T1!!")
+print(t1)
+print()
+
+# update entity
+t1.name = 'cool-up'
+print("T1 again!! notice `cool-up`")
+print(t1)
+print()
+pp(session.__dict__)
+session.commit()
+
+print("T1 again after commit!!")
+print(t1)
+print()
+
+# delete
+# notice the `_deleted` key inside the dictionary
+session.delete(t1)
+pp(session.__dict__)
+session.commit()
+
+
+
+inspector = inspect(engine)
+print('table names', inspector.get_table_names())
+
+print("dropping table Tag")
+# https://www.pythonsheets.com/notes/python-sqlalchemy.html#drop-a-table
+# https://stackoverflow.com/questions/35918605/how-to-delete-a-table-in-sqlalchemy
+print(Tag.__table__.drop(engine))
+print("dropped??")
+
+print('table names', inspector.get_table_names())

From 6a4d4a8ce92f2c5695a879559f41e90ec605b0fd Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 2 Feb 2020 12:01:32 -0800
Subject: [PATCH 055/272] Integrates SQLAlchemy with our Entity classes
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* modified Courses to be structured the SQLAlchemy way
* added an __init__.py to make Entity a module
* created NumbusMySQSLAlchemy as an interface for our database that is backed by SQLAlchemy and hopefully this "object" can serve as a data access object (DAO)

ALSO....

* ran ./format.sh and it formatted `validators.py` also `sqlalchemy_demo.py`

```
(venv) ➜  api git:(mf-flask-api) ✗ python3 database_wrapper.py
initialized database session
initialized NimbusMySQLAlchemy
course_list: [<Courses (dept=CSC, course_num=357)>]
course_list: [<Courses (dept=CSC, course_num=357)>]
course_list[0].courseName CSC 357. Systems Programming.
(venv) ➜  api git:(mf-flask-api) ✗
```
---
 Entity/Courses.py     |  56 +++++++++-----
 Entity/__init__.py    |   0
 database_wrapper.py   | 166 ++++++++++++++++++++++++++++++++++++------
 modules/validators.py |   5 +-
 sqlalchemy_demo.py    |   2 -
 5 files changed, 186 insertions(+), 43 deletions(-)
 create mode 100644 Entity/__init__.py
 mode change 100644 => 100755 database_wrapper.py

diff --git a/Entity/Courses.py b/Entity/Courses.py
index 3e628da..ce7b362 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -1,18 +1,40 @@
-class Courses:
+from sqlalchemy import Column, Integer, String, Text, Enum
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.dialects.mysql import SET
+import enum
 
-    def __init__(self, courseId, dept, courseNum, termsOffered, units,
-                 courseName, raw_concurrent_text, raw_recommended_text,
-                 raw_prerequisites_text, crossListedAs, raw_standing_text,
-                 standing):
-        self.courseId = courseId
-        self.dept = dept
-        self.courseNum = courseNum
-        self.termsOffered = termsOffered
-        self.units = units
-        self.courseName = courseName
-        self.raw_concurrent_text = raw_concurrent_text
-        self.raw_recommended_text = raw_recommended_text
-        self.raw_prerequisites_text = raw_prerequisites_text
-        self.crossListedAs = crossListedAs
-        self.raw_standing_text = raw_standing_text
-        self.standing = standing
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class CollegeStanding(enum.Enum):
+    """
+    https://docs.sqlalchemy.org/en/13/core/type_basics.html#sqlalchemy.types.Enum
+    """
+    first_year = freshman = FR = 1  # 'FReshman'
+    second_year = sophomore = SO = 2  # 'SOphomore'
+    third_year = junior = JR = 3  # 'JunioR'
+    fourth_year = senior = SR = 4  # 'SenioR'
+    graduate = GR = 5  # 'GRaduate'
+    not_applicable = NA = 6  # 'NotApplicable/Unknown'
+
+
+class Courses(Base):
+    __tablename__ = 'Courses'
+    # TODO: update schema and this Courses class to follow snake_case convention
+    courseId = Column(Integer, primary_key=True)
+    dept = Column(String(5))
+    courseNum = Column(Integer)
+    termsOffered = Column(SET('F', 'W', 'SP', 'SU', 'TBD'))
+    units = Column(String(5))
+    courseName = Column(String(255))
+    raw_concurrent_text = Column(Text)
+    raw_recommended_text = Column(Text)
+    raw_prerequisites_text = Column(Text)
+    crossListedAs = Column(String(45))
+    raw_standing_text = Column(String(45))
+    standing = Column(Enum(CollegeStanding))
+
+    def __repr__(self):
+        return "<Courses (dept={}, course_num={})>".format(
+            self.dept, self.courseNum)
diff --git a/Entity/__init__.py b/Entity/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/database_wrapper.py b/database_wrapper.py
old mode 100644
new mode 100755
index f859c43..8737f17
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -9,10 +9,20 @@
     db = NimbusMySQL(config_file="config.json")
     ents = db.get_entities()
 """
-import mysql.connector
-from abc import ABC, abstractmethod
-from typing import Optional, List
 import json
+from abc import ABC, abstractmethod
+from datetime import datetime, timedelta
+from pprint import pprint as pp
+from typing import List, Optional, Union
+
+import mysql.connector
+from sqlalchemy import (Column, DateTime, ForeignKey, Integer, String, Table,
+                        create_engine)
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import backref, relationship, sessionmaker
+
+from Entity.Courses import Courses
+from flask_api import app
 
 
 class UnsupportedDatabaseError(Exception):
@@ -180,6 +190,60 @@ def __del__(self) -> None:
         return
 
 
+class NimbusMySQLAlchemy():  # NimbusMySQLAlchemy(NimbusDatabase):
+    """
+    """
+
+    def __init__(self, config_file: str = 'config.json') -> None:
+        # # sqlalchemy needs a Base class for all the database entities
+        # self.Base = declarative_base()
+        self.engine = None  # gets set according to config_file
+
+        with open(config_file) as json_data_file:
+            config = json.load(json_data_file)
+
+        if config.get('mysql', False):
+            mysql_config = config['mysql']
+            RDBMS = "mysql"
+            PIP_PACKAGE = "mysqlconnector"
+            SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
+                RDBMS, PIP_PACKAGE, mysql_config['user'],
+                mysql_config['password'], mysql_config['host'],
+                mysql_config['port'], mysql_config['database'])
+            self.engine = create_engine(SQLALCHEMY_DATABASE_URI)
+
+            if self.engine is None:
+                raise BadConfigFileError('failed to connect to MySQL')
+        else:
+            msg = "config.json is missing {} field.".format('mysql')
+            raise BadConfigFileError(msg)
+
+        self._create_database_session()
+        print("initialized NimbusMySQLAlchemy")
+
+    def _create_all_tables(self):
+        self.Base.metadata.create_all(self.engine)
+
+    def _create_database_session(self):
+        Session = sessionmaker(bind=self.engine)
+        self.session = Session()
+        print("initialized database session")
+
+    def get_course_properties(self, department: str,
+                              course_num: Union[str, int]) -> List[Courses]:
+        return (
+            # sqlalchemy doesn't use type annotations
+            # and thus does not necessarily promise a List[Courses]
+            # even so we can expect .all() to return a list
+            # so long as there is no error in the MySQL syntax
+            self.session.query(Courses).filter(
+                Courses.dept == department,
+                Courses.courseNum == course_num).all())
+
+    def _execute(self, query: str):
+        return self.engine.execute(query)
+
+
 class NimbusMySQL(NimbusDatabase):
     """An adapter for mysql-connector-python to fit our program.
 
@@ -226,6 +290,62 @@ def __init__(self, config_file: str = 'config.json') -> None:
             msg = "config.json is missing {} field.".format('mysql')
             raise BadConfigFileError(msg)
 
+    '''Example:
+    >> > db = NimbusDatabase("config.json")
+    >> > db.get_property_from_related_entities(
+        ["firstName", "lastName", "ohRoom"],
+        "Professors", "OfficeHours", "professorId")
+    [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]'''
+
+    def get_property_from_entity(
+            self,
+            prop: List[str],
+            entity: str,
+            condition_field: Optional[str] = None,
+            condition_value: Optional[str] = None) -> List[str]:
+        cursor = self.connection.cursor()
+        cursor.execute('use `{}`'.format(self.database))
+        columns = ", ".join(prop)
+
+        if (condition_value is not None) and (condition_field is not None):
+            conditions = condition_field + " = " + "\"" + condition_value + "\""
+            statement = "SELECT {} FROM {} WHERE {}".format(
+                columns, entity, conditions)
+
+        elif (condition_value is None) and (condition_field is None):
+            statement = "SELECT {} FROM {}".format(columns, entity)
+
+        else:
+            print("choose both condition field and condition value")
+            return []
+
+        # print(statement)
+        cursor.execute(statement)
+        tups = cursor.fetchall()
+        cursor.close()
+
+        return tups
+
+    def get_property_from_related_entities(
+            self,
+            prop: List[str],
+            entity1: str,
+            entity2: str,
+            key1: str,
+            key2: Optional[str] = None,
+            condition_field: Optional[str] = None,
+            condition_value: Optional[str] = None) -> List[str]:
+        return []
+
+    def get_fields_of_entity(self, entity1: str) -> str:
+        cursor = self.connection.cursor()
+        # don't know why the line below is a syntactically wrong.
+        # cursor.execute('use {}'.format(self.database))
+        cursor.execute("SHOW COLUMNS FROM {}".format(entity1))
+        fields = cursor.fetchall()
+        cursor.close()
+        return fields
+
     def yield_entities(self) -> str:
         """Yields a list of all entities in the database."""
         cursor = self.connection.cursor()
@@ -289,34 +409,38 @@ def get_professor_properties(self, lastName) -> List[str]:
         """
         To get a particular professor's properties
         """
-        cursor = self.connection.cursor()
-        cursor.execute('use `{}`'.format(self.database))
+
         # FIXME: resolve unused variable `props`, until then, commented out
-        # props = get_property_from_entity(self, ["*"],
-        #                                  "Professors",
-        #                                  condition_field="lastName",
-        #                                  condition_value=lastName)
-        tups = cursor.fetchall()
-        cursor.close()
-        return [x[0] for x in tups]
+        props = self.get_property_from_entity(prop=["*"],
+                                              entity="Professors",
+                                              condition_field="lastName",
+                                              condition_value=lastName)
+        return props
 
     def get_course_properties(self, courseName) -> List[str]:
         # TODO: decide how we want to look up courses/ maybe create two methods
         #       Currently looks up by courseName
         """
         """
-        cursor = self.connection.cursor()
-        cursor.execute('use `{}`'.format(self.database))
+
         # FIXME: resolve unused variable `props`, until then, commented out
-        # props = get_property_from_entity(self, ["*"],
-        #                                  "Courses",
-        #                                  condition_field="courseName",
-        #                                  condition_value=courseName)
-        tups = cursor.fetchall()
-        cursor.close()
-        return [x[0] for x in tups]
+        props = self.get_property_from_entity(["*"],
+                                              "Courses",
+                                              condition_field="courseName",
+                                              condition_value=courseName)
+        return props
 
     def close(self) -> None:
         """Close the database connection"""
         self.connection.close()
         super().close()
+
+
+if __name__ == "__main__":
+    db = NimbusMySQLAlchemy()
+    course_list = db.get_course_properties('CSC', 357)
+    print("course_list:", course_list)
+    course_list = db.get_course_properties('CSC', '357')
+    print("course_list:", course_list)
+    csc357 = course_list[0]
+    print("course_list[0].courseName", csc357.courseName)
diff --git a/modules/validators.py b/modules/validators.py
index 9ba1acd..d49dd76 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -25,9 +25,8 @@ def __init__(self, validators=None):
         super().__init__()
         self.validators = validators or {
             'isWakeWord':
-                lambda val: type(val) == str and (
-                    val == 'true' or val == 'false'
-                ),
+                lambda val: type(val) == str and
+                (val == 'true' or val == 'false'),
             'noiseLevel':
                 lambda level: type(level) == str and level in 'qml' and len(
                     level) == 1,
diff --git a/sqlalchemy_demo.py b/sqlalchemy_demo.py
index 15cd489..de98b03 100644
--- a/sqlalchemy_demo.py
+++ b/sqlalchemy_demo.py
@@ -96,8 +96,6 @@ def __repr__(self):
 pp(session.__dict__)
 session.commit()
 
-
-
 inspector = inspect(engine)
 print('table names', inspector.get_table_names())
 

From d58a5ede7c3fecdc801f1add9d05504e5791c412 Mon Sep 17 00:00:00 2001
From: bpragasa <56235408+bpragasa@users.noreply.github.com>
Date: Sun, 2 Feb 2020 12:54:55 -0800
Subject: [PATCH 056/272] added new entity classes

---
 Entity/OfficeHours.py   | 10 ++++++++++
 Entity/PolyRatings.py   |  9 +++++++++
 Entity/Prerequisites.py |  7 +++++++
 Entity/Professors.py    | 12 ++++++++++++
 4 files changed, 38 insertions(+)
 create mode 100644 Entity/OfficeHours.py
 create mode 100644 Entity/PolyRatings.py
 create mode 100644 Entity/Prerequisites.py
 create mode 100644 Entity/Professors.py

diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
new file mode 100644
index 0000000..6ca8ac5
--- /dev/null
+++ b/Entity/OfficeHours.py
@@ -0,0 +1,10 @@
+#OfficeHours
+
+class OfficeHours:
+
+   def __init__(self, Professors_id, ohroom, ohday, ohtime):
+      self.Professors_id = Professors_id
+      self.ohroom = ohroom
+      self.ohday = ohday
+      self.ohtime = ohtime
+      
diff --git a/Entity/PolyRatings.py b/Entity/PolyRatings.py
new file mode 100644
index 0000000..4a0eac0
--- /dev/null
+++ b/Entity/PolyRatings.py
@@ -0,0 +1,9 @@
+#PolyRatings
+
+class PolyRating:
+
+   def __init__(self, id, avgRating, numRatings, Professors_id)
+      self.id = id
+      self.avgRating = avgRating
+      self.numRatings = numRatings
+      self.Professors_id = Professors_id
diff --git a/Entity/Prerequisites.py b/Entity/Prerequisites.py
new file mode 100644
index 0000000..3f8806f
--- /dev/null
+++ b/Entity/Prerequisites.py
@@ -0,0 +1,7 @@
+#Prerequisites
+
+class Prerequisites:
+ 
+   def __init__(self, courseId, prereqCourse):
+      self.courseId = courseId
+      self.prereqCourse = prereqCourse
diff --git a/Entity/Professors.py b/Entity/Professors.py
new file mode 100644
index 0000000..0a1b5d8
--- /dev/null
+++ b/Entity/Professors.py
@@ -0,0 +1,12 @@
+#Professors
+
+class Professors:
+
+   def __init__(self, id, firstName, lastName, phoneNumber, researchInterests, email):
+      self.id = id
+      self.firstName = firstName
+      self.lastName = lastName
+      self.phoneNumber = phoneNumber
+      self.researchInterests = researchInterests
+      self.email = email
+      

From c70e705c67d985d2af28512b63d9774a5f4f592e Mon Sep 17 00:00:00 2001
From: danield2255 <danield2255@gmail.com>
Date: Sun, 2 Feb 2020 13:27:17 -0800
Subject: [PATCH 057/272] added NimbusMySQL function layouts

---
 database_wrapper.py | 88 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 88 insertions(+)

diff --git a/database_wrapper.py b/database_wrapper.py
index f859c43..4416066 100644
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -316,7 +316,95 @@ def get_course_properties(self, courseName) -> List[str]:
         cursor.close()
         return [x[0] for x in tups]
 
+    def get_club_properties(self, clubName):
+        """
+        Gives all of the properties of a club in the database. 
+
+        Args:
+            clubName: a string representing the name of the club
+
+        Returns:
+            TODO: Determine type of the return based on the get_property_from_entity() method
+        """
+        pass
+
+
+    def get_course_schedule(self, courseName):
+        """
+        Describes all of the days and times during the week that a course takes place. 
+
+        Args:
+            courseName: a string representing the name of the course
+
+        Returns:
+            TODO: Determine type of the return based on the get_property_from_entity() method
+        """
+        pass
+
+    def get_professor_schedule(self, lastName):
+        """
+        Gives all of the properties of a club in the database. 
+
+        Args:
+            lastName: a string representing the last name of the professor
+            TODO: Choose exactly how to be referencing professors
+
+        Returns:
+            TODO: Determine type of the return based on the get_property_from_related_entity() method
+        """
+        pass
+
+    def get_course_prerequisites(self, courseName):
+        """
+        Gives the prerequisite courses for a given course in the database. 
+
+        Args:
+            courseName: a string representing the name of the course
+
+        Returns:
+            TODO: Determine type of the return based on the get_property_from_related_entity() method
+        """
+        pass
+
+    def get_professor_research_interests(self, lastName):
+        """
+        Gives the research interests of a specific professor. 
+
+        Args:
+            lastName: a string representing the lastName of the professor
+            TODO: Choose exactly how to be referencing professors
+        Returns:
+            TODO: Determine type of the return based on the get_property_from_related_entity() method
+        """
+        pass
+
+    def get_professors_with_interest(self, interest):
+        """
+        Gives the professors who have a specific research interest. 
+
+        Args:
+            interest: a string representing a research interest professors may have
+
+        Returns:
+            TODO: Determine type of the return based on the get_property_from_related_entity() method
+        """
+        pass
+
+    def get_professor_polyrating(self, lastName):
+        """
+        Gives the average polyrating of a specific professor. 
+    
+        Args:
+            lastName: a string representing the lastName of the professor
+            TODO: Choose exactly how to be referencing professors
+        Returns:
+            TODO: Determine type of the return based on the get_property_from_related_entity() method
+        """
+        pass
+
     def close(self) -> None:
         """Close the database connection"""
         self.connection.close()
         super().close()
+
+

From 8f088dd5bb397eb3849c65763284097d91c45100 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 2 Feb 2020 22:02:13 -0800
Subject: [PATCH 058/272] Adds CREATE & INSERT for Audio metadata
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Fun times with ~pair~ (mob) programming

* `AudioSampleMetaData` is a new class that represents the corresponding table in the database

* `create_AudioSampleMetaData_table` is a new function that creates that table by using SQLAlchemy to automatically generate the right SQL CREATE statement

* `NoiseLevel` is a new Enum that represents quiet | medium | loud

* `save_audio_sample_meta_data` is a new function that uses SQLAlchemy to magically insert the new metadata object given in JSON format

===================
------------------------
__main__
------------------------

(venv) ➜  api git:(mf-flask-api) ✗ python3 database_wrapper.py
initialized database session
initialized NimbusMySQLAlchemy
course_list: [<Courses (dept=CSC, course_num=357)>]
course_list: [<Courses (dept=CSC, course_num=357)>]
course_list[0].courseName CSC 357. Systems Programming.
table already exists

-------------------
Above printout is from the main of the database_wrapper.py

* it has a side-effect on the database
* the database with have a new ROW with the metadata
-------------------

CSV DUMP of the AudioSampleMetaData table...

--------------

id,is_wake_word,"first_name","last_name","gender","noise_level","location","tone",timestamp,"username"
1,1,"john","doe","f","quiet","here","serious-but-not-really",1577077883,"guest"
2,1,"john","doe","f","quiet","here","serious-but-not-really",1577077883,"guest"
3,1,"john","doe","f","quiet","here","serious-but-not-really",1577077883,"guest"

Co-Authored-By: Jason Ku <jasonku99@gmail.com>
Co-Authored-By: John Waidhofer <waidhoferj@users.noreply.github.com>
Co-Authored-By: Max Mohammadi <maxmohammadi@users.noreply.github.com>
Co-Authored-By: Austin Silveria <austinsilveria@gmail.com>
Co-Authored-By: taylor-nguyen-987 <taylor-nguyen-987@users.noreply.github.com>
---
 Entity/AudioSampleMetaData.py |  36 +++++++++++
 database_wrapper.py           | 109 +++++++++++++++++++++++++++++++++-
 flask_api.py                  |  34 +++--------
 modules/formatters.py         |   2 +
 modules/validators.py         |   8 +--
 5 files changed, 158 insertions(+), 31 deletions(-)
 create mode 100644 Entity/AudioSampleMetaData.py

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
new file mode 100644
index 0000000..704a27e
--- /dev/null
+++ b/Entity/AudioSampleMetaData.py
@@ -0,0 +1,36 @@
+from sqlalchemy import Column, Integer, String, Text, Enum, Boolean
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.dialects.mysql import SET
+import enum
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class NoiseLevel(enum.Enum):
+    quiet = 1
+    medium = 2
+    loud = 3
+
+
+class AudioSampleMetaData(Base):
+    __tablename__ = 'AudioSampleMetaData'
+    id = Column(Integer, primary_key=True)
+    # I think... SQLAlchemy will resolve this to TINYINT in MYSQL
+    is_wake_word = Column(Boolean)
+    # TODO: run a magical SQL script that support emojis in first_name
+    first_name = Column(String(255))
+    last_name = Column(String(255))
+    gender = Column(String(3))
+    noise_level = Column(Enum(NoiseLevel))
+    location = Column(String(255))
+    tone = Column(String(255))
+    timestamp = Column(Integer)
+    username = Column(String(255))
+
+    def __repr__(self):
+        return (
+            "<AudioSampleMetaData ( id={}, is_wake_word={}, first_name={}, last_name={}, gender={}, noise_level={}, location={}, tone={}, timestamp={}, username={} )>"
+            .format(self.id, self.is_wake_word, self.first_name, self.last_name,
+                    self.gender, self.noise_level, self.location, self.tone,
+                    self.timestamp, self.username))
diff --git a/database_wrapper.py b/database_wrapper.py
index 8737f17..9cde756 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -21,8 +21,10 @@
 from sqlalchemy.ext.declarative import declarative_base
 from sqlalchemy.orm import backref, relationship, sessionmaker
 
+import Entity
 from Entity.Courses import Courses
-from flask_api import app
+from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
+from sqlalchemy import inspect
 
 
 class UnsupportedDatabaseError(Exception):
@@ -198,6 +200,8 @@ def __init__(self, config_file: str = 'config.json') -> None:
         # # sqlalchemy needs a Base class for all the database entities
         # self.Base = declarative_base()
         self.engine = None  # gets set according to config_file
+        self.Courses = Courses
+        self.AudioSampleMetaData = AudioSampleMetaData
 
         with open(config_file) as json_data_file:
             config = json.load(json_data_file)
@@ -218,11 +222,16 @@ def __init__(self, config_file: str = 'config.json') -> None:
             msg = "config.json is missing {} field.".format('mysql')
             raise BadConfigFileError(msg)
 
+        self.inspector = inspect(self.engine)
         self._create_database_session()
         print("initialized NimbusMySQLAlchemy")
 
     def _create_all_tables(self):
-        self.Base.metadata.create_all(self.engine)
+        # TODO: reconsider if this even works???
+        # self.Base.metadata.create_all(self.engine)
+        # TODO: go with this instead... more explicit...
+        self.Courses.__table__.create(bind=self.engine)
+        self.AudioSampleMetaData.__table__.create(bind=self.engine)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -240,9 +249,89 @@ def get_course_properties(self, department: str,
                 Courses.dept == department,
                 Courses.courseNum == course_num).all())
 
+    def create_AudioSampleMetaData_table(self) -> None:
+        table_name = self.AudioSampleMetaData.__tablename__
+        if table_name in self.inspector.get_table_names():
+            print("table already exists")
+            return
+
+        self.AudioSampleMetaData.__table__.create(bind=self.engine)
+
+    def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
+        """
+        Save the metadata into the NimbusDatabase.
+
+        formatted_data this point looks like:
+        {
+            "isWakeWord": True,
+            "firstName": "john",
+            "lastName": "doe",
+            "gender": "f",
+            "noiseLevel": "q",
+            "location": "here",
+            "tone": "serious-but-not-really",
+            "timestamp": 1577077883,
+            "username": "guest"
+        }
+
+        Returns:
+            True if all is good, else False
+        """
+        keys_i_care_about = {
+            'isWakeWord', 'firstName', 'lastName', 'gender', 'noiseLevel',
+            'location', 'tone', 'timestamp', 'username'
+        }
+
+        if len(formatted_data) == 0:
+            raise Exception("I did not get the keys I care about")
+
+        for k in formatted_data:
+            if k not in keys_i_care_about:
+                # TODO: make this a better message
+                raise Exception("I did not get the keys I care about")
+
+        # create an AudioSampleMetaData object with the given metadata
+        metadata = AudioSampleMetaData()
+
+        # TODO: @waidhoferj
+        #       maybe category does make sense for readability here?
+        if formatted_data['isWakeWord'] == 'ww':
+            metadata.is_wake_word = True
+        elif formatted_data['isWakeWord'] == 'nww':
+            metadata.is_wake_word = True
+        else:
+            raise Exception("unexpected values for isWakeWord")
+
+        metadata.first_name = formatted_data['firstName']
+        metadata.last_name = formatted_data['lastName']
+        metadata.gender = formatted_data['gender']
+
+        if formatted_data['noiseLevel'] == 'q':
+            metadata.noise_level = NoiseLevel.quiet
+        elif formatted_data['noiseLevel'] == 'm':
+            metadata.noise_level = NoiseLevel.medium
+        elif formatted_data['noiseLevel'] == 'l':
+            metadata.noise_level = NoiseLevel.loud
+        else:
+            raise Exception("unexpected values for noiseLevel")
+
+        metadata.location = formatted_data['location']
+        metadata.tone = formatted_data['tone']
+        metadata.timestamp = formatted_data['timestamp']
+        metadata.username = formatted_data['username']
+
+        # insert this new metadata object into the AudioSampleMetaData table
+        self.session.add(metadata)
+        self.session.commit()
+
+        pass
+
     def _execute(self, query: str):
         return self.engine.execute(query)
 
+    def __del__(self):
+        print("NimbusMySQLAlchemy closed")
+
 
 class NimbusMySQL(NimbusDatabase):
     """An adapter for mysql-connector-python to fit our program.
@@ -444,3 +533,19 @@ def close(self) -> None:
     print("course_list:", course_list)
     csc357 = course_list[0]
     print("course_list[0].courseName", csc357.courseName)
+
+    db.create_AudioSampleMetaData_table()
+
+    metadata = {
+        "isWakeWord": True,
+        "firstName": "john",
+        "lastName": "doe",
+        "gender": "f",
+        "noiseLevel": "q",
+        "location": "here",
+        "tone": "serious-but-not-really",
+        "timestamp": 1577077883,
+        "username": "guest"
+    }
+
+    db.save_audio_sample_meta_data(metadata)
diff --git a/flask_api.py b/flask_api.py
index cc3dabe..625e35b 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -11,9 +11,13 @@
 from pydrive.auth import GoogleAuth
 import gunicorn_config
 
+from database_wrapper import NimbusMySQLAlchemy
+
 BAD_REQUEST = 400
 SUCCESS = 200
 
+CONFIG_FILE_PATH = 'config.json'
+
 app = Flask(__name__)
 CORS(app)
 
@@ -64,32 +68,9 @@ def handle_question():
     return jsonify(response), SUCCESS
 
 
-@app.route('/examples/wakeword', methods=['POST'])
+@app.route('/new_data/wakeword', methods=['POST'])
 def save_a_recording():
     """Given the audio metadata & audio file, resamples it, saves to storage.
-
-    Resamples for the AI model. Saves to Google Drive. The audio is a
-    binary BLOB with a (wrapper?). The request JSON should include a
-    field representing WakeWord or NotWakeWord. Audio file size expected
-    to be around 76 KB.
-
-    Example:
-    {
-        'isWakeWord': True,
-        'firstName': "john",
-        'lastName': "doe",
-        'gender': "m", // enum('m', 'f') // male, female
-        'noiseLevel': "m", // enum('q','m','l') // quiet, medium, loud
-        'location': "here",
-        'tone': "serious",
-        // TODO: consider an optional description
-        'timestamp': '1577077883' //integer seconds since epoch
-        'username' : 'ewenike'
-
-    }
-
-    Returns:
-        HTTP status code
     """
     validator = WakeWordValidator()
     formatter = WakeWordFormatter()
@@ -102,6 +83,10 @@ def save_a_recording():
             return str(err), BAD_REQUEST
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
+
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    db.save_audio_sample_meta_data(formatted_data)
+
     save_audiofile(filename, request.files["wav_file"])
     return filename
 
@@ -110,7 +95,6 @@ def create_filename(form):
     """
     Creates a string filename that adheres to the Nimbus foramtting standard.
     """
-
     order = [
         'isWakeWord', 'noiseLevel', 'tone', 'location', 'gender', 'lastName',
         'firstName', 'timestamp', 'username'
diff --git a/modules/formatters.py b/modules/formatters.py
index e5db297..338e4fc 100644
--- a/modules/formatters.py
+++ b/modules/formatters.py
@@ -16,6 +16,8 @@ def __init__(self):
         super().__init__()
 
     def format(self, data):
+        # TODO: document this function better
+        # TODO: write test cases for this function
         form = data.copy()
         for key in form:
             if key == 'isWakeWord':
diff --git a/modules/validators.py b/modules/validators.py
index d49dd76..e0331b6 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -57,10 +57,10 @@ def validate(self, data):
             validator = self.validators[key]
             try:
                 val = data[key]
-            except:
-                issues[key] = 'DNE'
-            if (not validator(val)):
-                issues[key] = 'invalid'
+                if(not validator(val)):
+                    issues[key] = 'INVALID'
+            except Exception:
+                issues[key] = 'DOES_NOT_EXIST'
         return issues
 
     def fix(self, data, issues):

From 9b9bd3e155455c6af568a6bec248da692230d75e Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 2 Feb 2020 23:04:01 -0800
Subject: [PATCH 059/272] improves creation of tables

* __safe_create will check if the table exists before trying to create it
* the create_all_tables script can be run to initialize the mysql database (TODO: use in automation of Nimbus infrastructure setup)
---
 create_all_tables.py |  6 ++++++
 database_wrapper.py  | 14 ++++++++++++--
 2 files changed, 18 insertions(+), 2 deletions(-)
 create mode 100755 create_all_tables.py

diff --git a/create_all_tables.py b/create_all_tables.py
new file mode 100755
index 0000000..6416c10
--- /dev/null
+++ b/create_all_tables.py
@@ -0,0 +1,6 @@
+#!/usr/bin/env python3
+from database_wrapper import NimbusMySQLAlchemy
+
+
+db = NimbusMySQLAlchemy(config_file='config.json')
+db._create_all_tables()
diff --git a/database_wrapper.py b/database_wrapper.py
index 1fd1000..35b41dd 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -230,8 +230,18 @@ def _create_all_tables(self):
         # TODO: reconsider if this even works???
         # self.Base.metadata.create_all(self.engine)
         # TODO: go with this instead... more explicit...
-        self.Courses.__table__.create(bind=self.engine)
-        self.AudioSampleMetaData.__table__.create(bind=self.engine)
+        def __safe_create(SQLAlchemy_object):
+            table_name = SQLAlchemy_object.__tablename__
+            print("creating {}...".format(table_name))
+            if table_name in self.inspector.get_table_names():
+                print("<{}> already exists".format(table_name))
+                return
+            SQLAlchemy_object.__table__.create(bind=self.engine)
+            print("<{}> created".format(table_name))
+            return
+
+        __safe_create(self.Courses)
+        __safe_create(self.AudioSampleMetaData)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)

From 50924640a9a585caf8559df6a3db3b79a13bb378 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 3 Feb 2020 00:02:12 -0800
Subject: [PATCH 060/272] ran ./format.sh and fixed syntax bugs

Co-Authored-By: Daniel DeFoe <danield2255@users.noreply.github.com>
---
 Entity/OfficeHours.py   | 12 ++++++------
 Entity/PolyRatings.py   | 13 +++++++------
 Entity/Prerequisites.py |  9 +++++----
 Entity/Professors.py    | 17 +++++++++--------
 create_all_tables.py    |  1 -
 5 files changed, 27 insertions(+), 25 deletions(-)

diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
index 6ca8ac5..c93a042 100644
--- a/Entity/OfficeHours.py
+++ b/Entity/OfficeHours.py
@@ -1,10 +1,10 @@
 #OfficeHours
 
+
 class OfficeHours:
 
-   def __init__(self, Professors_id, ohroom, ohday, ohtime):
-      self.Professors_id = Professors_id
-      self.ohroom = ohroom
-      self.ohday = ohday
-      self.ohtime = ohtime
-      
+    def __init__(self, Professors_id, ohroom, ohday, ohtime):
+        self.Professors_id = Professors_id
+        self.ohroom = ohroom
+        self.ohday = ohday
+        self.ohtime = ohtime
diff --git a/Entity/PolyRatings.py b/Entity/PolyRatings.py
index 4a0eac0..111d2b7 100644
--- a/Entity/PolyRatings.py
+++ b/Entity/PolyRatings.py
@@ -1,9 +1,10 @@
-#PolyRatings
+# PolyRatings
+
 
 class PolyRating:
 
-   def __init__(self, id, avgRating, numRatings, Professors_id)
-      self.id = id
-      self.avgRating = avgRating
-      self.numRatings = numRatings
-      self.Professors_id = Professors_id
+    def __init__(self, id, avgRating, numRatings, Professors_id):
+        self.id = id
+        self.avgRating = avgRating
+        self.numRatings = numRatings
+        self.Professors_id = Professors_id
diff --git a/Entity/Prerequisites.py b/Entity/Prerequisites.py
index 3f8806f..dfcb66c 100644
--- a/Entity/Prerequisites.py
+++ b/Entity/Prerequisites.py
@@ -1,7 +1,8 @@
 #Prerequisites
 
+
 class Prerequisites:
- 
-   def __init__(self, courseId, prereqCourse):
-      self.courseId = courseId
-      self.prereqCourse = prereqCourse
+
+    def __init__(self, courseId, prereqCourse):
+        self.courseId = courseId
+        self.prereqCourse = prereqCourse
diff --git a/Entity/Professors.py b/Entity/Professors.py
index 0a1b5d8..8533d7c 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -1,12 +1,13 @@
 #Professors
 
+
 class Professors:
 
-   def __init__(self, id, firstName, lastName, phoneNumber, researchInterests, email):
-      self.id = id
-      self.firstName = firstName
-      self.lastName = lastName
-      self.phoneNumber = phoneNumber
-      self.researchInterests = researchInterests
-      self.email = email
-      
+    def __init__(self, id, firstName, lastName, phoneNumber, researchInterests,
+                 email):
+        self.id = id
+        self.firstName = firstName
+        self.lastName = lastName
+        self.phoneNumber = phoneNumber
+        self.researchInterests = researchInterests
+        self.email = email
diff --git a/create_all_tables.py b/create_all_tables.py
index 6416c10..b0868ac 100755
--- a/create_all_tables.py
+++ b/create_all_tables.py
@@ -1,6 +1,5 @@
 #!/usr/bin/env python3
 from database_wrapper import NimbusMySQLAlchemy
 
-
 db = NimbusMySQLAlchemy(config_file='config.json')
 db._create_all_tables()

From bb4461f1ab588a7156d1a220912274c6ea7e7c69 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 3 Feb 2020 02:10:47 -0800
Subject: [PATCH 061/272] adds the filename field to AudioSampleMetaData &
 improves error handling
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* first the `filename` field needs to be a TEXT datatype because it is a concatenation of all the other fields.
* we want to store it because that will help us locate the relevant file very quickly... rather than trying to hunt down some old `create_filename` function
* the save_audio_meta_data function now supports the extra field... and even expects it... raises an exception if not

* the flask endpoint will send appropriate response when the missing filename key is found
 ** WakeWordValidatorError displayed with status_code = BAD_REQUEST

* WakeWordValidatorIssue is an enum that improves the readability of the Validator code without relying on fragile strings.

========================

(venv) ➜  api git:(mf-flask-api) ✗ ./database_wrapper.py
initialized database session
initialized NimbusMySQLAlchemy
course_list: [<Courses (dept=CSC, course_num=357)>]
course_list: [<Courses (dept=CSC, course_num=357)>]
course_list[0].courseName CSC 357. Systems Programming.
table already exists
{'isWakeWord': 'ww', 'firstName': 'john', 'lastName': 'doe', 'gender': 'f', 'noiseLevel': 'q', 'location': 'here', 'tone': 'serious-but-not-really', 'timestamp': 1577077883, 'username': 'guest', 'filename': 'filename'}
NimbusMySQLAlchemy closed
(venv) ➜  api git:(mf-flask-api) ✗
---
 Entity/AudioSampleMetaData.py |   2 +
 database_wrapper.py           | 128 +++++++++++++++++++++++++++++-----
 flask_api.py                  |  36 +++++++---
 modules/validators.py         |  41 ++++++++---
 4 files changed, 170 insertions(+), 37 deletions(-)

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
index 704a27e..72d68d5 100644
--- a/Entity/AudioSampleMetaData.py
+++ b/Entity/AudioSampleMetaData.py
@@ -27,6 +27,8 @@ class AudioSampleMetaData(Base):
     tone = Column(String(255))
     timestamp = Column(Integer)
     username = Column(String(255))
+    # Text chosen because filename is standarized concatenation of above fields
+    filename = Column(Text)
 
     def __repr__(self):
         return (
diff --git a/database_wrapper.py b/database_wrapper.py
index 35b41dd..a18e722 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -16,6 +16,7 @@
 from typing import List, Optional, Union
 
 import mysql.connector
+import sqlalchemy
 from sqlalchemy import (Column, DateTime, ForeignKey, Integer, String, Table,
                         create_engine)
 from sqlalchemy.ext.declarative import declarative_base
@@ -27,6 +28,39 @@
 from sqlalchemy import inspect
 
 
+class BadDictionaryKeyError(Exception):
+    """Raised when the given JSON/dict is missing some required fields.
+
+    Attributes:
+        message: an explanation of what fields are missing.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+class BadDictionaryValueError(Exception):
+    """Raised when the given JSON/dict has unexpected wake
+
+    Attributes:
+        message: an explanation.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+class NimbusDatabaseError(Exception):
+    """Raised when we have a database querying problem.
+
+    Attributes:
+        message: an explanation of the data querying problem.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
 class UnsupportedDatabaseError(Exception):
     """Raised when operation tries to connect to an unsupported database type.
 
@@ -192,6 +226,33 @@ def __del__(self) -> None:
         return
 
 
+def raises_database_error(func):
+    """A Python decorator for mapping to NimbusDatabaseError
+
+    Resources:
+        https://realpython.com/primer-on-python-decorators/#simple-decorators
+        https://docs.python.org/3/library/exceptions.html
+    """
+
+    def wrapper(*args, **kwargs):
+        try:
+            func(*args, **kwargs)
+        except sqlalchemy.exc.DataError as e:
+            # TODO: consider security tradeoff of displaying
+            #       internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins, so try to raise a smaller message
+            raise NimbusDatabaseError(str(e.args)) from e
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying
+            #       internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins, so try to catch the EXACT exception
+            raise e
+
+    return wrapper
+
+
 class NimbusMySQLAlchemy():  # NimbusMySQLAlchemy(NimbusDatabase):
     """
     """
@@ -267,6 +328,7 @@ def create_AudioSampleMetaData_table(self) -> None:
 
         self.AudioSampleMetaData.__table__.create(bind=self.engine)
 
+    @raises_database_error
     def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         """
         Save the metadata into the NimbusDatabase.
@@ -274,62 +336,90 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         formatted_data this point looks like:
         {
             "isWakeWord": True,
-            "firstName": "john",
+            "firstName": "jj",
             "lastName": "doe",
             "gender": "f",
             "noiseLevel": "q",
             "location": "here",
             "tone": "serious-but-not-really",
             "timestamp": 1577077883,
-            "username": "guest"
+            "username": "guest",
+            "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"
         }
 
+        Raises:
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
         Returns:
             True if all is good, else False
         """
         keys_i_care_about = {
             'isWakeWord', 'firstName', 'lastName', 'gender', 'noiseLevel',
-            'location', 'tone', 'timestamp', 'username'
+            'location', 'tone', 'timestamp', 'username', 'filename'
         }
 
+        print(formatted_data)
+
         if len(formatted_data) == 0:
-            raise Exception("I did not get the keys I care about")
+            msg = "expected: {} but got: {}"
+            msg = msg.format(keys_i_care_about, set(formatted_data.keys()))
+            raise BadDictionaryKeyError(msg)
 
+        # assert that the formatted_data does not have extra keys
         for k in formatted_data:
             if k not in keys_i_care_about:
-                # TODO: make this a better message
-                raise Exception("I did not get the keys I care about")
+                msg = "expected: {} but got: {}"
+                msg = msg.format(keys_i_care_about, set(formatted_data.keys()))
+                raise BadDictionaryKeyError(msg)
+
+        # assert that the keys_i_care_about are in formatted_data
+        for k in keys_i_care_about:
+            if k not in formatted_data:
+                msg = "expected: {} but got: {}"
+                msg = msg.format(keys_i_care_about, set(formatted_data.keys()))
+                raise BadDictionaryKeyError(msg)
 
         # create an AudioSampleMetaData object with the given metadata
         metadata = AudioSampleMetaData()
 
-        # TODO: @waidhoferj
-        #       maybe category does make sense for readability here?
-        if formatted_data['isWakeWord'] == 'ww':
-            metadata.is_wake_word = True
-        elif formatted_data['isWakeWord'] == 'nww':
+        isWW = formatted_data['isWakeWord']
+        if ((isWW == 'ww') or (isWW is True)):
             metadata.is_wake_word = True
+        elif ((isWW == 'nww') or (isWW is False)):
+            metadata.is_wake_word = False
         else:
-            raise Exception("unexpected values for isWakeWord")
+            msg = "unexpected values for isWakeWord\n"
+            msg += "expected 'ww' or True or 'nww' or False but got '{}'"
+            msg = msg.format(formatted_data['isWakeWord'])
+            raise BadDictionaryValueError(msg)
 
         metadata.first_name = formatted_data['firstName']
         metadata.last_name = formatted_data['lastName']
         metadata.gender = formatted_data['gender']
 
-        if formatted_data['noiseLevel'] == 'q':
+        if (formatted_data['noiseLevel'] == 'q' or
+                formatted_data['noiseLevel'] == 'quiet'):
             metadata.noise_level = NoiseLevel.quiet
-        elif formatted_data['noiseLevel'] == 'm':
+        elif (formatted_data['noiseLevel'] == 'm' or
+              formatted_data['noiseLevel'] == 'medium'):
             metadata.noise_level = NoiseLevel.medium
-        elif formatted_data['noiseLevel'] == 'l':
+        elif (formatted_data['noiseLevel'] == 'l' or
+              formatted_data['noiseLevel'] == 'loud'):
             metadata.noise_level = NoiseLevel.loud
         else:
-            raise Exception("unexpected values for noiseLevel")
+            msg = "unexpected values for noiseLevel\n"
+            msg += "expected 'q' or 'm' or 'l' but got '{}'"
+            msg = msg.format(formatted_data['noiseLevel'])
+            raise BadDictionaryValueError(msg)
 
         metadata.location = formatted_data['location']
         metadata.tone = formatted_data['tone']
         metadata.timestamp = formatted_data['timestamp']
         metadata.username = formatted_data['username']
 
+        metadata.filename = formatted_data['filename']
+
         # insert this new metadata object into the AudioSampleMetaData table
         self.session.add(metadata)
         self.session.commit()
@@ -541,7 +631,6 @@ def get_club_properties(self, clubName):
         """
         pass
 
-
     def get_course_schedule(self, courseName):
         """
         Describes all of the days and times during the week that a course takes place.
@@ -633,7 +722,7 @@ def close(self) -> None:
     db.create_AudioSampleMetaData_table()
 
     metadata = {
-        "isWakeWord": True,
+        "isWakeWord": 'ww',
         "firstName": "john",
         "lastName": "doe",
         "gender": "f",
@@ -641,7 +730,8 @@ def close(self) -> None:
         "location": "here",
         "tone": "serious-but-not-really",
         "timestamp": 1577077883,
-        "username": "guest"
+        "username": "guest",
+        "filename": "filename"
     }
 
     db.save_audio_sample_meta_data(metadata)
diff --git a/flask_api.py b/flask_api.py
index 625e35b..6da5199 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -5,13 +5,14 @@
 """
 from flask import Flask, jsonify, request
 from flask_cors import CORS
-from modules.validators import WakeWordValidator
-from modules.formatters import WakeWordFormatter
-from pydrive.drive import GoogleDrive
 from pydrive.auth import GoogleAuth
-import gunicorn_config
+from pydrive.drive import GoogleDrive
 
-from database_wrapper import NimbusMySQLAlchemy
+import gunicorn_config
+from database_wrapper import (BadDictionaryKeyError, BadDictionaryValueError,
+                              NimbusDatabaseError, NimbusMySQLAlchemy)
+from modules.formatters import WakeWordFormatter
+from modules.validators import WakeWordValidator, WakeWordValidatorError
 
 BAD_REQUEST = 400
 SUCCESS = 200
@@ -79,15 +80,34 @@ def save_a_recording():
     if issues:
         try:
             data = validator.fix(data, issues)
-        except ValueError as err:
+        except WakeWordValidatorError as err:
             return str(err), BAD_REQUEST
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
 
+    # Save the audiofile first because if error then we stop here
+    # We do not want to save any metadata to the NimbusDatabase
+    #   if the audio fails to save.
+    save_audiofile(filename, request.files["wav_file"])
+
+    # Let's also save the filename to the database for quick reference
+    formatted_data['filename'] = filename
+
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-    db.save_audio_sample_meta_data(formatted_data)
+    try:
+        db.save_audio_sample_meta_data(formatted_data)
+    except BadDictionaryKeyError as e:
+        return str(e), BAD_REQUEST
+    except BadDictionaryValueError as e:
+        return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), BAD_REQUEST
+    except Exception as e:
+        # TODO: consider security tradeoff of displaying internal server errors
+        #       versus development time (being able to see errors quickly)
+        # HINT: security always wins
+        raise e
 
-    save_audiofile(filename, request.files["wav_file"])
     return filename
 
 
diff --git a/modules/validators.py b/modules/validators.py
index e0331b6..c3fc6af 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -1,4 +1,7 @@
 import time
+import enum
+
+from werkzeug.exceptions import BadRequestKeyError
 
 
 class Validator:
@@ -18,6 +21,22 @@ def fix(self, data, issues):
         return data
 
 
+class WakeWordValidatorIssue(enum.Enum):
+    DOES_NOT_EXIST = 1
+    INVALID = 2
+
+
+class WakeWordValidatorError(Exception):
+    """Raised when.... bad data...
+
+    Attributes:
+        message: an explanation of... why bad data...
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
 class WakeWordValidator(Validator):
     """Ensures that the form metadata recieved from the REST API for the Wake Word audio is valid."""
 
@@ -56,33 +75,35 @@ def validate(self, data):
         for key in self.validators:
             validator = self.validators[key]
             try:
-                val = data[key]
-                if(not validator(val)):
-                    issues[key] = 'INVALID'
-            except Exception:
-                issues[key] = 'DOES_NOT_EXIST'
+                value = data[key]
+                if (not validator(value)):
+                    issues[key] = WakeWordValidatorIssue.INVALID
+            except BadRequestKeyError as e:
+                print("caught BadRequestKeyError: ", e.args)
+                issues[key] = WakeWordValidatorIssue.DOES_NOT_EXIST
         return issues
 
     def fix(self, data, issues):
         """
         Attempts to fix Wake Word audio metadata.
-        If the data issue is irreplaceable, raises ValueError.
+        If the data issue is irreplaceable, raises WakeWordValidatorError.
         """
         form = data.copy()
         for key in issues:
             issue = issues[key]
-            if (issue == 'DNE'):
+            if (issue == WakeWordValidatorIssue.DOES_NOT_EXIST):
                 if (key == 'username'):
                     form[key] = 'guest'
+                    print('fixed username', form[key])
                 elif (key == 'timestamp'):
                     form[key] = int(time.time())
                     print('fixed timestamp', form[key])
                 else:
-                    raise ValueError(
+                    raise WakeWordValidatorError(
                         f"Required audio metadata '{key}' was not provided")
-            elif (issue == 'invalid'):
+            elif (issue == WakeWordValidatorIssue.INVALID):
                 # TODO: anticipate invalid entries and correct them.
-                raise ValueError(
+                raise WakeWordValidatorError(
                     f"{key} has invalid value of {form[key]} with a type of {type(form[key])}"
                 )
         return form

From 805e520f6fccb3bc3978f3e30efa0a815c48f698 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 3 Feb 2020 02:51:44 -0800
Subject: [PATCH 062/272] run ./lint.sh and resolve errors
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* I liberally used `# noqa` in sqlalchemy_demo.py beacuse that is not production code... just temporary for reference

* I made sure to comment every other use of `# noqa`

======================

(venv) ➜  api git:(mf-flask-api) ✗ ./lint.sh
0
(venv) ➜  api git:(mf-flask-api) ✗ ./format.sh
Reformatting create_all_tables.py
Reformatting database_wrapper.py
Reformatting db_config.py
Reformatting db_wrapper.py
Reformatting demo.py
Reformatting flask_api.py
Reformatting gunicorn_config.py
Reformatting sqlalchemy_demo.py
Reformatting Entity/AudioSampleMetaData.py
Reformatting Entity/Clubs.py
Reformatting Entity/Corequisites.py
Reformatting Entity/Corrections.py
Reformatting Entity/Courses.py
Reformatting Entity/OfficeHours.py
Reformatting Entity/PolyRatings.py
Reformatting Entity/Prerequisites.py
Reformatting Entity/Professors.py
Reformatting Entity/__init__.py
Reformatting modules/formatters.py
Reformatting modules/validators.py
(venv) ➜  api git:(mf-flask-api) ✗ ./lint.sh
0
(venv) ➜  api git:(mf-flask-api) ✗
---
 Entity/AudioSampleMetaData.py | 13 +++++++------
 Entity/OfficeHours.py         |  3 ---
 Entity/Prerequisites.py       |  3 ---
 Entity/Professors.py          |  3 ---
 database_wrapper.py           | 16 +++++-----------
 sqlalchemy_demo.py            | 10 +++++-----
 6 files changed, 17 insertions(+), 31 deletions(-)

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
index 72d68d5..f814777 100644
--- a/Entity/AudioSampleMetaData.py
+++ b/Entity/AudioSampleMetaData.py
@@ -1,6 +1,5 @@
 from sqlalchemy import Column, Integer, String, Text, Enum, Boolean
 from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy.dialects.mysql import SET
 import enum
 
 # This is the way SQLAlchemy initializes their special classes
@@ -31,8 +30,10 @@ class AudioSampleMetaData(Base):
     filename = Column(Text)
 
     def __repr__(self):
-        return (
-            "<AudioSampleMetaData ( id={}, is_wake_word={}, first_name={}, last_name={}, gender={}, noise_level={}, location={}, tone={}, timestamp={}, username={} )>"
-            .format(self.id, self.is_wake_word, self.first_name, self.last_name,
-                    self.gender, self.noise_level, self.location, self.tone,
-                    self.timestamp, self.username))
+        string = "<AudioSampleMetaData ( id={}, is_wake_word={}, "
+        string += "first_name={}, last_name={}, gender={}, noise_level={}, "
+        string += "location={}, tone={}, timestamp={}, username={} )>"
+        return (string.format(self.id, self.is_wake_word, self.first_name,
+                              self.last_name, self.gender, self.noise_level,
+                              self.location, self.tone, self.timestamp,
+                              self.username))
diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
index c93a042..9b213ea 100644
--- a/Entity/OfficeHours.py
+++ b/Entity/OfficeHours.py
@@ -1,6 +1,3 @@
-#OfficeHours
-
-
 class OfficeHours:
 
     def __init__(self, Professors_id, ohroom, ohday, ohtime):
diff --git a/Entity/Prerequisites.py b/Entity/Prerequisites.py
index dfcb66c..a34662b 100644
--- a/Entity/Prerequisites.py
+++ b/Entity/Prerequisites.py
@@ -1,6 +1,3 @@
-#Prerequisites
-
-
 class Prerequisites:
 
     def __init__(self, courseId, prereqCourse):
diff --git a/Entity/Professors.py b/Entity/Professors.py
index 8533d7c..5a32543 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -1,6 +1,3 @@
-#Professors
-
-
 class Professors:
 
     def __init__(self, id, firstName, lastName, phoneNumber, researchInterests,
diff --git a/database_wrapper.py b/database_wrapper.py
index a18e722..ffbb8e9 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -11,21 +11,15 @@
 """
 import json
 from abc import ABC, abstractmethod
-from datetime import datetime, timedelta
-from pprint import pprint as pp
 from typing import List, Optional, Union
 
 import mysql.connector
 import sqlalchemy
-from sqlalchemy import (Column, DateTime, ForeignKey, Integer, String, Table,
-                        create_engine)
-from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy.orm import backref, relationship, sessionmaker
+from sqlalchemy import create_engine, inspect
+from sqlalchemy.orm import sessionmaker
 
-import Entity
-from Entity.Courses import Courses
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
-from sqlalchemy import inspect
+from Entity.Courses import Courses
 
 
 class BadDictionaryKeyError(Exception):
@@ -328,7 +322,7 @@ def create_AudioSampleMetaData_table(self) -> None:
 
         self.AudioSampleMetaData.__table__.create(bind=self.engine)
 
-    @raises_database_error
+    @raises_database_error  # noqa - C901 "too complex" - agreed TODO: reduce complexity
     def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         """
         Save the metadata into the NimbusDatabase.
@@ -344,7 +338,7 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
             "tone": "serious-but-not-really",
             "timestamp": 1577077883,
             "username": "guest",
-            "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"
+            "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"  # noqa because too hard.
         }
 
         Raises:
diff --git a/sqlalchemy_demo.py b/sqlalchemy_demo.py
index de98b03..09f2250 100644
--- a/sqlalchemy_demo.py
+++ b/sqlalchemy_demo.py
@@ -5,9 +5,9 @@
 
 from sqlalchemy.ext.declarative import declarative_base
 from sqlalchemy import create_engine
-from datetime import datetime, timedelta
-from sqlalchemy import Table, Column, Integer, String, DateTime, ForeignKey
-from sqlalchemy.orm import relationship, backref
+from datetime import datetime, timedelta  # noqa
+from sqlalchemy import Table, Column, Integer, String, DateTime, ForeignKey  # noqa
+from sqlalchemy.orm import relationship, backref  # noqa
 from sqlalchemy.orm import sessionmaker
 from pprint import pprint as pp
 from sqlalchemy import inspect
@@ -27,7 +27,7 @@ def __repr__(self):
 
 # connection
 # https://docs.sqlalchemy.org/en/13/dialects/mysql.html#module-sqlalchemy.dialects.mysql.mysqlconnector
-# engine = create_engine('mysql+mysqlconnector://USERNAME:PASSWORD@HOST_NAME:3306/DATABASE_NAME')
+# engine = create_engine('mysql+mysqlconnector://USERNAME:PASSWORD@HOST_NAME:3306/DATABASE_NAME')  # noqa
 config_file = 'config.json'
 with open(config_file) as json_data_file:
     config = json.load(json_data_file)
@@ -101,7 +101,7 @@ def __repr__(self):
 
 print("dropping table Tag")
 # https://www.pythonsheets.com/notes/python-sqlalchemy.html#drop-a-table
-# https://stackoverflow.com/questions/35918605/how-to-delete-a-table-in-sqlalchemy
+# https://stackoverflow.com/questions/35918605/how-to-delete-a-table-in-sqlalchemy  # noqa
 print(Tag.__table__.drop(engine))
 print("dropped??")
 

From fc2a5b97fdea94c7b8cfecfcc3af1f95c4551fea Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Wed, 5 Feb 2020 09:40:26 -0800
Subject: [PATCH 063/272] added temp storage endpoint

---
 flask_api.py | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/flask_api.py b/flask_api.py
index 6da5199..ebebbe0 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -111,6 +111,26 @@ def save_a_recording():
     return filename
 
 
+@app.route('/new_data/ww_temp_storage', methods=['POST'])
+def save_a_recording():
+    """Given the audio metadata & audio file, resamples it, saves to storage.
+    """
+    validator = WakeWordValidator()
+    formatter = WakeWordFormatter()
+    data = request.form
+    issues = validator.validate(data)
+    if issues:
+        try:
+            data = validator.fix(data, issues)
+        except WakeWordValidatorError as err:
+            return str(err), BAD_REQUEST
+    formatted_data = formatter.format(data)
+    filename = "UNREGISTERED_" + create_filename(formatted_data)
+    save_audiofile(filename, request.files["wav_file"])
+
+    return filename
+
+
 def create_filename(form):
     """
     Creates a string filename that adheres to the Nimbus foramtting standard.

From 0e7d3f3d49ae154dbec6f85c3ea06e1f3812f9df Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@users.noreply.github.com>
Date: Thu, 6 Feb 2020 11:43:09 -0800
Subject: [PATCH 064/272] Revert "added temp storage endpoint"

---
 flask_api.py | 20 --------------------
 1 file changed, 20 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index ebebbe0..6da5199 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -111,26 +111,6 @@ def save_a_recording():
     return filename
 
 
-@app.route('/new_data/ww_temp_storage', methods=['POST'])
-def save_a_recording():
-    """Given the audio metadata & audio file, resamples it, saves to storage.
-    """
-    validator = WakeWordValidator()
-    formatter = WakeWordFormatter()
-    data = request.form
-    issues = validator.validate(data)
-    if issues:
-        try:
-            data = validator.fix(data, issues)
-        except WakeWordValidatorError as err:
-            return str(err), BAD_REQUEST
-    formatted_data = formatter.format(data)
-    filename = "UNREGISTERED_" + create_filename(formatted_data)
-    save_audiofile(filename, request.files["wav_file"])
-
-    return filename
-
-
 def create_filename(form):
     """
     Creates a string filename that adheres to the Nimbus foramtting standard.

From ba446c3d065661d72a303dc1272eac5a4454671c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Thu, 6 Feb 2020 20:20:38 -0800
Subject: [PATCH 065/272] update to actions/checkout@v2

---
 .github/workflows/deploy_staging.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/deploy_staging.yml b/.github/workflows/deploy_staging.yml
index ebafd98..e439dde 100644
--- a/.github/workflows/deploy_staging.yml
+++ b/.github/workflows/deploy_staging.yml
@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-    - uses: actions/checkout@v1
+    - uses: actions/checkout@v2
 
     - name: heroku login
       uses: actions/heroku@master
@@ -32,4 +32,4 @@ jobs:
       env:
         HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
       with:
-        args: container:release -a calpoly-csai-nimbus web
\ No newline at end of file
+        args: container:release -a calpoly-csai-nimbus web

From 9c9e4f2e9542deaa796801c2c0134c1a9f3aaa51 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Mon, 10 Feb 2020 21:03:16 -0800
Subject: [PATCH 066/272] Fixed forced ww classification

---
 .gitignore            | 3 +++
 modules/formatters.py | 2 +-
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 6580292..f1d0562 100644
--- a/.gitignore
+++ b/.gitignore
@@ -112,3 +112,6 @@ venv.bak/
 db_config.py
 .vscode/settings.json
 config.json
+credentials.json
+folder_id.txt
+settings.yaml
diff --git a/modules/formatters.py b/modules/formatters.py
index 338e4fc..d3ab740 100644
--- a/modules/formatters.py
+++ b/modules/formatters.py
@@ -21,7 +21,7 @@ def format(self, data):
         form = data.copy()
         for key in form:
             if key == 'isWakeWord':
-                form[key] = 'ww' if (form[key]) else 'nww'
+                form[key] = 'ww' if (form[key].lower() == "true") else 'nww'
             elif key == 'timestamp':
                 form[key] = int(form[key])
             else:

From ec40643165098a5aa77639f456ea01c1632296e6 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Mon, 10 Feb 2020 21:26:45 -0800
Subject: [PATCH 067/272] Possible formatting schema

---
 flask_api.py          |  3 ++-
 modules/formatters.py | 12 +++++-------
 2 files changed, 7 insertions(+), 8 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 6da5199..a851abf 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -119,7 +119,8 @@ def create_filename(form):
         'isWakeWord', 'noiseLevel', 'tone', 'location', 'gender', 'lastName',
         'firstName', 'timestamp', 'username'
     ]
-    values = list(map(lambda key: str(form[key]), order))
+    values = list(
+        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return '_'.join(values) + '.wav'
 
 
diff --git a/modules/formatters.py b/modules/formatters.py
index 338e4fc..c55bd17 100644
--- a/modules/formatters.py
+++ b/modules/formatters.py
@@ -19,11 +19,9 @@ def format(self, data):
         # TODO: document this function better
         # TODO: write test cases for this function
         form = data.copy()
-        for key in form:
-            if key == 'isWakeWord':
-                form[key] = 'ww' if (form[key]) else 'nww'
-            elif key == 'timestamp':
-                form[key] = int(form[key])
-            else:
-                form[key] = form[key].lower().replace(' ', '-')
+        form['isWakeWord'] = 'ww' if (form[key]) else 'nww'
+        form["firstName"] = form["firstName"].title()
+        form["lastName"] = form["lastName"].title()
+        form['timestamp'] = int(form[key])
+
         return form

From caeee003dd3052de683465999c4e5888ed960edb Mon Sep 17 00:00:00 2001
From: austin <austinsilveria@gmail.com>
Date: Wed, 19 Feb 2020 21:53:24 -0800
Subject: [PATCH 068/272] Add endpoint to store scraped courses

---
 Entity/Courses.py   |  5 +---
 database_wrapper.py | 67 ++++++++++++++++++++++++++++++++-------------
 flask_api.py        | 24 ++++++++++++++++
 3 files changed, 73 insertions(+), 23 deletions(-)

diff --git a/Entity/Courses.py b/Entity/Courses.py
index ce7b362..d2cec31 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -22,7 +22,7 @@ class CollegeStanding(enum.Enum):
 class Courses(Base):
     __tablename__ = 'Courses'
     # TODO: update schema and this Courses class to follow snake_case convention
-    courseId = Column(Integer, primary_key=True)
+    courseId = Column(String(10), primary_key=True)
     dept = Column(String(5))
     courseNum = Column(Integer)
     termsOffered = Column(SET('F', 'W', 'SP', 'SU', 'TBD'))
@@ -31,9 +31,6 @@ class Courses(Base):
     raw_concurrent_text = Column(Text)
     raw_recommended_text = Column(Text)
     raw_prerequisites_text = Column(Text)
-    crossListedAs = Column(String(45))
-    raw_standing_text = Column(String(45))
-    standing = Column(Enum(CollegeStanding))
 
     def __repr__(self):
         return "<Courses (dept={}, course_num={})>".format(
diff --git a/database_wrapper.py b/database_wrapper.py
index ffbb8e9..479cac6 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -281,6 +281,27 @@ def __init__(self, config_file: str = 'config.json') -> None:
         self._create_database_session()
         print("initialized NimbusMySQLAlchemy")
 
+    @staticmethod
+    def validate_input_keys(input_data: dict, expected_keys: set):
+        if len(input_data) == 0:
+            msg = "expected: {} but got: {}"
+            msg = msg.format(expected_keys, set(input_data.keys()))
+            raise BadDictionaryKeyError(msg)
+
+        # assert that the formatted_data does not have extra keys
+        for k in input_data:
+            if k not in expected_keys:
+                msg = "expected: {} but got: {}"
+                msg = msg.format(expected_keys, set(input_data.keys()))
+                raise BadDictionaryKeyError(msg)
+
+        # assert that the keys_i_care_about are in formatted_data
+        for k in expected_keys:
+            if k not in input_data:
+                msg = "expected: {} but got: {}"
+                msg = msg.format(expected_keys, set(input_data.keys()))
+                raise BadDictionaryKeyError(msg)
+
     def _create_all_tables(self):
         # TODO: reconsider if this even works???
         # self.Base.metadata.create_all(self.engine)
@@ -355,25 +376,7 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
 
         print(formatted_data)
 
-        if len(formatted_data) == 0:
-            msg = "expected: {} but got: {}"
-            msg = msg.format(keys_i_care_about, set(formatted_data.keys()))
-            raise BadDictionaryKeyError(msg)
-
-        # assert that the formatted_data does not have extra keys
-        for k in formatted_data:
-            if k not in keys_i_care_about:
-                msg = "expected: {} but got: {}"
-                msg = msg.format(keys_i_care_about, set(formatted_data.keys()))
-                raise BadDictionaryKeyError(msg)
-
-        # assert that the keys_i_care_about are in formatted_data
-        for k in keys_i_care_about:
-            if k not in formatted_data:
-                msg = "expected: {} but got: {}"
-                msg = msg.format(keys_i_care_about, set(formatted_data.keys()))
-                raise BadDictionaryKeyError(msg)
-
+        self.validate_input_keys(formatted_data, keys_i_care_about)
         # create an AudioSampleMetaData object with the given metadata
         metadata = AudioSampleMetaData()
 
@@ -420,6 +423,32 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
 
         pass
 
+    def save_course(self, course_data: dict):
+        expected_keys = {'courseId', 'dept', 'courseNum', 'units',
+                         'termsOffered', 'courseName', 'raw_concurrent_text',
+                         'raw_recommended_text', 'raw_prerequisites_text'}
+        self.validate_input_keys(course_data, expected_keys)
+
+        course = self.session.query(Courses).filter_by(courseId=course_data['courseId']).first()
+        if not course:
+            print("Adding new course: {}".format(course_data['courseId']))
+            course = Courses()
+            course.courseId = course_data['courseId']
+        else:
+            print("Updating course: {}".format(course_data['courseId']))
+
+        course.dept = course_data['dept']
+        course.courseNum = course_data['courseNum']
+        course.termsOffered = course_data['termsOffered']
+        course.units = course_data['units']
+        course.courseName = course_data['courseName']
+        course.raw_concurrent_text = course_data['raw_concurrent_text']
+        course.raw_recommended_text = course_data['raw_recommended_text']
+        course.raw_prerequisites_text = course_data['raw_prerequisites_text']
+
+        self.session.add(course)
+        self.session.commit()
+
     def _execute(self, query: str):
         return self.engine.execute(query)
 
diff --git a/flask_api.py b/flask_api.py
index 6da5199..e26a7e1 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -3,6 +3,8 @@
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
+import json
+
 from flask import Flask, jsonify, request
 from flask_cors import CORS
 from pydrive.auth import GoogleAuth
@@ -111,6 +113,28 @@ def save_a_recording():
     return filename
 
 
+@app.route('/new_data/courses', methods=['POST'])
+def save_courses():
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    for course in data['courses']:
+        try:
+            db.save_course(course)
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
 def create_filename(form):
     """
     Creates a string filename that adheres to the Nimbus foramtting standard.

From b29d6046898d5d880a03e7552651b30aebfac4ef Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sat, 22 Feb 2020 23:25:25 -0800
Subject: [PATCH 069/272] add QuestionAnswerPair entity

---
 Entity/QuestionAnswerPair.py | 39 ++++++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)
 create mode 100644 Entity/QuestionAnswerPair.py

diff --git a/Entity/QuestionAnswerPair.py b/Entity/QuestionAnswerPair.py
new file mode 100644
index 0000000..0e25493
--- /dev/null
+++ b/Entity/QuestionAnswerPair.py
@@ -0,0 +1,39 @@
+from sqlalchemy import Column, Integer, Text, Enum, Boolean
+from sqlalchemy.ext.declarative import declarative_base
+import enum
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class AnswerType(enum.Enum):
+    """
+    The Nimbus club spent many hours manually categorizing
+    many question_formats as one of the following AnswerTypes
+    """
+
+    fact = 1  # a simple property of a Nimbus entity.
+    related = 2  # a property of two or more related Nimbus entities.
+    statistics = 3  # an aggregation of a property of a Nimbus entity
+    other = 4  # something difficult or unknown.
+
+
+class QuestionAnswerPair(Base):
+    __tablename__ = "QuestionAnswerPair"
+    id = Column(Integer, primary_key=True)
+    # SQLAlchemy resolves Boolean to TINYINT within MYSQL
+    can_we_answer = Column(Boolean)
+    answer_type = Column(Enum(AnswerType))
+    question_format = Column(Text)
+    answer_format = Column(Text)
+
+    def __repr__(self):
+        """
+        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
+        """
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"  # noqa

From 6b4728ebeb905bec7719a12e70993f9521dd8d83 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sat, 22 Feb 2020 23:28:15 -0800
Subject: [PATCH 070/272] add save_question_answer_pair and include QAPair in
 database wrapper

---
 database_wrapper.py | 37 +++++++++++++++++++++++++++++++++++++
 1 file changed, 37 insertions(+)

diff --git a/database_wrapper.py b/database_wrapper.py
index ffbb8e9..8e98b48 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -20,6 +20,7 @@
 
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
 from Entity.Courses import Courses
+from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
 
 
 class BadDictionaryKeyError(Exception):
@@ -257,6 +258,7 @@ def __init__(self, config_file: str = 'config.json') -> None:
         self.engine = None  # gets set according to config_file
         self.Courses = Courses
         self.AudioSampleMetaData = AudioSampleMetaData
+        self.QuestionAnswerPair = QuestionAnswerPair
 
         with open(config_file) as json_data_file:
             config = json.load(json_data_file)
@@ -297,6 +299,7 @@ def __safe_create(SQLAlchemy_object):
 
         __safe_create(self.Courses)
         __safe_create(self.AudioSampleMetaData)
+        __safe_create(self.QuestionAnswerPair)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -322,6 +325,40 @@ def create_AudioSampleMetaData_table(self) -> None:
 
         self.AudioSampleMetaData.__table__.create(bind=self.engine)
 
+    def save_question_answer_pair(self, qa_dict: dict) -> bool:
+        """
+        Save the given question answer pair into the database.
+
+        Example input:
+        {
+            "can_we_answer": False,
+            "answer_type": AnswerType.other,
+            "question_format": "What is the meaning of life?",
+            "answer_format": "Dr. Fizzbuzz says the answer is sqrt(1764)"
+        }
+
+        Args:
+            qa_dict: a dictionary that corresponds to the fields in QuestionAnswerPair  # noqa
+
+        Raises:
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            True if all is good, else False
+        """
+        # create an QuestionAnswerPair object with the given data
+        qa_pair_data = QuestionAnswerPair()
+        qa_pair_data.can_we_answer = qa_dict['can_we_answer']
+        qa_pair_data.answer_type = qa_dict['answer_type']
+        qa_pair_data.question_format = qa_dict['question_format']
+        qa_pair_data.answer_format = qa_dict['answer_format']
+
+        # insert this new qa_pair_data object into the QuestionAnswerPair table
+        self.session.add(qa_pair_data)
+        self.session.commit()
+        return True
+
     @raises_database_error  # noqa - C901 "too complex" - agreed TODO: reduce complexity
     def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         """

From 11b6ecd0f8b720dac15067201f999498037f3d2c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 23 Feb 2020 09:37:02 -0800
Subject: [PATCH 071/272] refactor with auto formatter & better comments &
 remove dead code

auto formatter = https://black.readthedocs.io/en/stable/
---
 Entity/AudioSampleMetaData.py |   2 +-
 database_wrapper.py           | 243 ++++++++++++++++++----------------
 2 files changed, 133 insertions(+), 112 deletions(-)

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
index f814777..9e1bb4d 100644
--- a/Entity/AudioSampleMetaData.py
+++ b/Entity/AudioSampleMetaData.py
@@ -15,7 +15,7 @@ class NoiseLevel(enum.Enum):
 class AudioSampleMetaData(Base):
     __tablename__ = 'AudioSampleMetaData'
     id = Column(Integer, primary_key=True)
-    # I think... SQLAlchemy will resolve this to TINYINT in MYSQL
+    # SQLAlchemy resolves Boolean to TINYINT within MYSQL
     is_wake_word = Column(Boolean)
     # TODO: run a magical SQL script that support emojis in first_name
     first_name = Column(String(255))
diff --git a/database_wrapper.py b/database_wrapper.py
index 8e98b48..7a8d92a 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -97,7 +97,7 @@ class NimbusDatabase(ABC):
     should implement these operations such as `connect`
     """
 
-    def __init__(self, config_file: str = 'config.json') -> None:
+    def __init__(self, config_file: str = "config.json") -> None:
         """
         Inits Nimbus Database using the hostname, username, password
         found inside the config_file.
@@ -106,11 +106,12 @@ def __init__(self, config_file: str = 'config.json') -> None:
 
     @abstractmethod
     def get_property_from_entity(
-            self,
-            prop: List[str],
-            entity: str,
-            condition_field: Optional[str] = None,
-            condition_value: Optional[str] = None) -> List[str]:
+        self,
+        prop: List[str],
+        entity: str,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
+    ) -> List[str]:
         """A high-order function to get properties from objects in the database.
 
         Example:
@@ -136,14 +137,15 @@ def get_property_from_entity(
 
     @abstractmethod
     def get_property_from_related_entities(
-            self,
-            prop: List[str],
-            entity1: str,
-            entity2: str,
-            key1: str,
-            key2: Optional[str] = None,
-            condition_field: Optional[str] = None,
-            condition_value: Optional[str] = None) -> List[str]:
+        self,
+        prop: List[str],
+        entity1: str,
+        entity2: str,
+        key1: str,
+        key2: Optional[str] = None,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
+    ) -> List[str]:
         """A higher-order function to ????
 
         Example:
@@ -248,13 +250,11 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
-class NimbusMySQLAlchemy():  # NimbusMySQLAlchemy(NimbusDatabase):
+class NimbusMySQLAlchemy:  # NimbusMySQLAlchemy(NimbusDatabase):
     """
     """
 
-    def __init__(self, config_file: str = 'config.json') -> None:
-        # # sqlalchemy needs a Base class for all the database entities
-        # self.Base = declarative_base()
+    def __init__(self, config_file: str = "config.json") -> None:
         self.engine = None  # gets set according to config_file
         self.Courses = Courses
         self.AudioSampleMetaData = AudioSampleMetaData
@@ -263,20 +263,25 @@ def __init__(self, config_file: str = 'config.json') -> None:
         with open(config_file) as json_data_file:
             config = json.load(json_data_file)
 
-        if config.get('mysql', False):
-            mysql_config = config['mysql']
+        if config.get("mysql", False):
+            mysql_config = config["mysql"]
             RDBMS = "mysql"
             PIP_PACKAGE = "mysqlconnector"
             SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
-                RDBMS, PIP_PACKAGE, mysql_config['user'],
-                mysql_config['password'], mysql_config['host'],
-                mysql_config['port'], mysql_config['database'])
+                RDBMS,
+                PIP_PACKAGE,
+                mysql_config["user"],
+                mysql_config["password"],
+                mysql_config["host"],
+                mysql_config["port"],
+                mysql_config["database"],
+            )
             self.engine = create_engine(SQLALCHEMY_DATABASE_URI)
 
             if self.engine is None:
-                raise BadConfigFileError('failed to connect to MySQL')
+                raise BadConfigFileError("failed to connect to MySQL")
         else:
-            msg = "config.json is missing {} field.".format('mysql')
+            msg = "config.json is missing {} field.".format("mysql")
             raise BadConfigFileError(msg)
 
         self.inspector = inspect(self.engine)
@@ -284,17 +289,14 @@ def __init__(self, config_file: str = 'config.json') -> None:
         print("initialized NimbusMySQLAlchemy")
 
     def _create_all_tables(self):
-        # TODO: reconsider if this even works???
-        # self.Base.metadata.create_all(self.engine)
-        # TODO: go with this instead... more explicit...
         def __safe_create(SQLAlchemy_object):
             table_name = SQLAlchemy_object.__tablename__
-            print("creating {}...".format(table_name))
+            print(f"creating {table_name}...")
             if table_name in self.inspector.get_table_names():
-                print("<{}> already exists".format(table_name))
+                print(f"<{table_name}> already exists")
                 return
             SQLAlchemy_object.__table__.create(bind=self.engine)
-            print("<{}> created".format(table_name))
+            print(f"<{table_name}> created")
             return
 
         __safe_create(self.Courses)
@@ -306,16 +308,18 @@ def _create_database_session(self):
         self.session = Session()
         print("initialized database session")
 
-    def get_course_properties(self, department: str,
-                              course_num: Union[str, int]) -> List[Courses]:
+    def get_course_properties(
+        self, department: str, course_num: Union[str, int]
+    ) -> List[Courses]:
         return (
             # sqlalchemy doesn't use type annotations
             # and thus does not necessarily promise a List[Courses]
             # even so we can expect .all() to return a list
             # so long as there is no error in the MySQL syntax
-            self.session.query(Courses).filter(
-                Courses.dept == department,
-                Courses.courseNum == course_num).all())
+            self.session.query(Courses)
+            .filter(Courses.dept == department, Courses.courseNum == course_num)
+            .all()
+        )
 
     def create_AudioSampleMetaData_table(self) -> None:
         table_name = self.AudioSampleMetaData.__tablename__
@@ -349,10 +353,10 @@ def save_question_answer_pair(self, qa_dict: dict) -> bool:
         """
         # create an QuestionAnswerPair object with the given data
         qa_pair_data = QuestionAnswerPair()
-        qa_pair_data.can_we_answer = qa_dict['can_we_answer']
-        qa_pair_data.answer_type = qa_dict['answer_type']
-        qa_pair_data.question_format = qa_dict['question_format']
-        qa_pair_data.answer_format = qa_dict['answer_format']
+        qa_pair_data.can_we_answer = qa_dict["can_we_answer"]
+        qa_pair_data.answer_type = qa_dict["answer_type"]
+        qa_pair_data.question_format = qa_dict["question_format"]
+        qa_pair_data.answer_format = qa_dict["answer_format"]
 
         # insert this new qa_pair_data object into the QuestionAnswerPair table
         self.session.add(qa_pair_data)
@@ -364,7 +368,7 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         """
         Save the metadata into the NimbusDatabase.
 
-        formatted_data this point looks like:
+        formatted_data at this point looks like:
         {
             "isWakeWord": True,
             "firstName": "jj",
@@ -386,8 +390,16 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
             True if all is good, else False
         """
         keys_i_care_about = {
-            'isWakeWord', 'firstName', 'lastName', 'gender', 'noiseLevel',
-            'location', 'tone', 'timestamp', 'username', 'filename'
+            "isWakeWord",
+            "firstName",
+            "lastName",
+            "gender",
+            "noiseLevel",
+            "location",
+            "tone",
+            "timestamp",
+            "username",
+            "filename",
         }
 
         print(formatted_data)
@@ -414,48 +426,54 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         # create an AudioSampleMetaData object with the given metadata
         metadata = AudioSampleMetaData()
 
-        isWW = formatted_data['isWakeWord']
-        if ((isWW == 'ww') or (isWW is True)):
+        isWW = formatted_data["isWakeWord"]
+        if (isWW == "ww") or (isWW is True):
             metadata.is_wake_word = True
-        elif ((isWW == 'nww') or (isWW is False)):
+        elif (isWW == "nww") or (isWW is False):
             metadata.is_wake_word = False
         else:
             msg = "unexpected values for isWakeWord\n"
             msg += "expected 'ww' or True or 'nww' or False but got '{}'"
-            msg = msg.format(formatted_data['isWakeWord'])
+            msg = msg.format(formatted_data["isWakeWord"])
             raise BadDictionaryValueError(msg)
 
-        metadata.first_name = formatted_data['firstName']
-        metadata.last_name = formatted_data['lastName']
-        metadata.gender = formatted_data['gender']
+        metadata.first_name = formatted_data["firstName"]
+        metadata.last_name = formatted_data["lastName"]
+        metadata.gender = formatted_data["gender"]
 
-        if (formatted_data['noiseLevel'] == 'q' or
-                formatted_data['noiseLevel'] == 'quiet'):
+        if (
+            formatted_data["noiseLevel"] == "q"
+            or formatted_data["noiseLevel"] == "quiet"
+        ):
             metadata.noise_level = NoiseLevel.quiet
-        elif (formatted_data['noiseLevel'] == 'm' or
-              formatted_data['noiseLevel'] == 'medium'):
+        elif (
+            formatted_data["noiseLevel"] == "m"
+            or formatted_data["noiseLevel"] == "medium"
+        ):
             metadata.noise_level = NoiseLevel.medium
-        elif (formatted_data['noiseLevel'] == 'l' or
-              formatted_data['noiseLevel'] == 'loud'):
+        elif (
+            formatted_data["noiseLevel"] == "l"
+            or formatted_data["noiseLevel"] == "loud"
+        ):
             metadata.noise_level = NoiseLevel.loud
         else:
             msg = "unexpected values for noiseLevel\n"
             msg += "expected 'q' or 'm' or 'l' but got '{}'"
-            msg = msg.format(formatted_data['noiseLevel'])
+            msg = msg.format(formatted_data["noiseLevel"])
             raise BadDictionaryValueError(msg)
 
-        metadata.location = formatted_data['location']
-        metadata.tone = formatted_data['tone']
-        metadata.timestamp = formatted_data['timestamp']
-        metadata.username = formatted_data['username']
+        metadata.location = formatted_data["location"]
+        metadata.tone = formatted_data["tone"]
+        metadata.timestamp = formatted_data["timestamp"]
+        metadata.username = formatted_data["username"]
 
-        metadata.filename = formatted_data['filename']
+        metadata.filename = formatted_data["filename"]
 
         # insert this new metadata object into the AudioSampleMetaData table
         self.session.add(metadata)
         self.session.commit()
 
-        pass
+        return True
 
     def _execute(self, query: str):
         return self.engine.execute(query)
@@ -474,7 +492,7 @@ class NimbusMySQL(NimbusDatabase):
         config_file: a JSON file with the mysql details.
     """
 
-    def __init__(self, config_file: str = 'config.json') -> None:
+    def __init__(self, config_file: str = "config.json") -> None:
         """
         Inits Nimbus Database using the hostname, username, password
         found inside the config_file.
@@ -495,42 +513,43 @@ def __init__(self, config_file: str = 'config.json') -> None:
         with open(config_file) as json_data_file:
             config = json.load(json_data_file)
 
-        if config.get('mysql', False):
-            mysql_config = config['mysql']
+        if config.get("mysql", False):
+            mysql_config = config["mysql"]
             self.connection = mysql.connector.connect(
-                host=mysql_config['host'],
-                user=mysql_config['user'],
-                passwd=mysql_config['password'])
+                host=mysql_config["host"],
+                user=mysql_config["user"],
+                passwd=mysql_config["password"],
+            )
 
-            self.database = mysql_config['database']
+            self.database = mysql_config["database"]
 
             if self.connection is None or self.database is None:
-                raise BadConfigFileError('failed to connect to MySQL')
+                raise BadConfigFileError("failed to connect to MySQL")
         else:
-            msg = "config.json is missing {} field.".format('mysql')
+            msg = "config.json is missing {} field.".format("mysql")
             raise BadConfigFileError(msg)
 
-    '''Example:
+    """Example:
     >> > db = NimbusDatabase("config.json")
     >> > db.get_property_from_related_entities(
         ["firstName", "lastName", "ohRoom"],
         "Professors", "OfficeHours", "professorId")
-    [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]'''
+    [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]"""
 
     def get_property_from_entity(
-            self,
-            prop: List[str],
-            entity: str,
-            condition_field: Optional[str] = None,
-            condition_value: Optional[str] = None) -> List[str]:
+        self,
+        prop: List[str],
+        entity: str,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
+    ) -> List[str]:
         cursor = self.connection.cursor()
-        cursor.execute('use `{}`'.format(self.database))
+        cursor.execute("use `{}`".format(self.database))
         columns = ", ".join(prop)
 
         if (condition_value is not None) and (condition_field is not None):
-            conditions = condition_field + " = " + "\"" + condition_value + "\""
-            statement = "SELECT {} FROM {} WHERE {}".format(
-                columns, entity, conditions)
+            conditions = condition_field + " = " + '"' + condition_value + '"'
+            statement = "SELECT {} FROM {} WHERE {}".format(columns, entity, conditions)
 
         elif (condition_value is None) and (condition_field is None):
             statement = "SELECT {} FROM {}".format(columns, entity)
@@ -547,14 +566,15 @@ def get_property_from_entity(
         return tups
 
     def get_property_from_related_entities(
-            self,
-            prop: List[str],
-            entity1: str,
-            entity2: str,
-            key1: str,
-            key2: Optional[str] = None,
-            condition_field: Optional[str] = None,
-            condition_value: Optional[str] = None) -> List[str]:
+        self,
+        prop: List[str],
+        entity1: str,
+        entity2: str,
+        key1: str,
+        key2: Optional[str] = None,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
+    ) -> List[str]:
         return []
 
     def get_fields_of_entity(self, entity1: str) -> str:
@@ -569,8 +589,8 @@ def get_fields_of_entity(self, entity1: str) -> str:
     def yield_entities(self) -> str:
         """Yields a list of all entities in the database."""
         cursor = self.connection.cursor()
-        cursor.execute('use {}'.format(self.database))
-        cursor.execute('show tables')
+        cursor.execute("use {}".format(self.database))
+        cursor.execute("show tables")
         # `fetchall` returns a list of single element tuples
         tups = cursor.fetchall()
         cursor.close()
@@ -590,8 +610,8 @@ def get_entities(self) -> str:
         'ResponseFormats', 'ShortNames']
         """
         cursor = self.connection.cursor()
-        cursor.execute('use `{}`'.format(self.database))
-        cursor.execute('show tables')
+        cursor.execute("use `{}`".format(self.database))
+        cursor.execute("show tables")
         # `fetchall` returns a list of single element tuples
         tups = cursor.fetchall()
         cursor.close()
@@ -605,8 +625,8 @@ def get_unique(self, entity, prop) -> str:
         """
         """
         cursor = self.connection.cursor()
-        cursor.execute('use `{}`'.format(self.database))
-        cursor.execute('select distinct({}) from {}'.format(prop, entity))
+        cursor.execute("use `{}`".format(self.database))
+        cursor.execute("select distinct({}) from {}".format(prop, entity))
         # `fetchall` returns a list of single element tuples
         tups = cursor.fetchall()
         cursor.close()
@@ -616,8 +636,8 @@ def get_bitcount(self, entity, prop) -> str:
         """
         """
         cursor = self.connection.cursor()
-        cursor.execute('use `{}`'.format(self.database))
-        cursor.execute('select bit_count(`{}`) from `{}`'.format(prop, entity))
+        cursor.execute("use `{}`".format(self.database))
+        cursor.execute("select bit_count(`{}`) from `{}`".format(prop, entity))
         # `fetchall` returns a list of single element tuples
         tups = cursor.fetchall()
         cursor.close()
@@ -631,10 +651,12 @@ def get_professor_properties(self, lastName) -> List[str]:
         """
 
         # FIXME: resolve unused variable `props`, until then, commented out
-        props = self.get_property_from_entity(prop=["*"],
-                                              entity="Professors",
-                                              condition_field="lastName",
-                                              condition_value=lastName)
+        props = self.get_property_from_entity(
+            prop=["*"],
+            entity="Professors",
+            condition_field="lastName",
+            condition_value=lastName,
+        )
         return props
 
     def get_course_properties(self, courseName) -> List[str]:
@@ -644,10 +666,9 @@ def get_course_properties(self, courseName) -> List[str]:
         """
 
         # FIXME: resolve unused variable `props`, until then, commented out
-        props = self.get_property_from_entity(["*"],
-                                              "Courses",
-                                              condition_field="courseName",
-                                              condition_value=courseName)
+        props = self.get_property_from_entity(
+            ["*"], "Courses", condition_field="courseName", condition_value=courseName
+        )
         return props
 
     def get_club_properties(self, clubName):
@@ -743,9 +764,9 @@ def close(self) -> None:
 
 if __name__ == "__main__":
     db = NimbusMySQLAlchemy()
-    course_list = db.get_course_properties('CSC', 357)
+    course_list = db.get_course_properties("CSC", 357)
     print("course_list:", course_list)
-    course_list = db.get_course_properties('CSC', '357')
+    course_list = db.get_course_properties("CSC", "357")
     print("course_list:", course_list)
     csc357 = course_list[0]
     print("course_list[0].courseName", csc357.courseName)
@@ -753,7 +774,7 @@ def close(self) -> None:
     db.create_AudioSampleMetaData_table()
 
     metadata = {
-        "isWakeWord": 'ww',
+        "isWakeWord": "ww",
         "firstName": "john",
         "lastName": "doe",
         "gender": "f",
@@ -762,7 +783,7 @@ def close(self) -> None:
         "tone": "serious-but-not-really",
         "timestamp": 1577077883,
         "username": "guest",
-        "filename": "filename"
+        "filename": "filename",
     }
 
     db.save_audio_sample_meta_data(metadata)

From fbf4f58eb4dc3a613977d57e585c6b9a99911cc5 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Sun, 23 Feb 2020 10:36:52 -0800
Subject: [PATCH 072/272] Update README to clarify database config

---
 README.md | 23 ++++++++++++++++++++++-
 1 file changed, 22 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index c94d7aa..001b23f 100644
--- a/README.md
+++ b/README.md
@@ -33,7 +33,28 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 
 2. pip 9.0.1
 
-3. The _hostname_, _username_, and _password_ of a MySQL database (e.g. MySQL 5.7.28) inputted into `config.json`
+
+### Database Configuration
+
+**Create a file** called `config.json` that should include at least the following details of a MySQL database:
+```json
+{
+    ...
+    "mysql": {
+        "host": "HOSTNAME",
+        "port": "PORT e.g. 3306",
+        "user": "USERNAME",
+        "password": "PASSWORD",
+        "database": "DATABASE",
+        ...
+    }
+    ...
+}
+```
+
+**You can also use [`config_SAMPLE.json`](https://github.com/calpoly-csai/api/blob/dev/config_SAMPLE.json) as a reference**
+
+_Contact anyone on the Data Team to get connection details for the Nimbus database_
 
 
 ### Install

From 2ba57d5339beff5f4d5bb7fcb5b1a274980ac0e0 Mon Sep 17 00:00:00 2001
From: danield2255 <danield2255@gmail.com>
Date: Sun, 23 Feb 2020 14:07:13 -0800
Subject: [PATCH 073/272] SqlAlchemy usaeble Professor type

---
 Entity/Professors.py | 23 ++++++++++++++---------
 1 file changed, 14 insertions(+), 9 deletions(-)

diff --git a/Entity/Professors.py b/Entity/Professors.py
index 5a32543..76930c2 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -1,10 +1,15 @@
-class Professors:
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
 
-    def __init__(self, id, firstName, lastName, phoneNumber, researchInterests,
-                 email):
-        self.id = id
-        self.firstName = firstName
-        self.lastName = lastName
-        self.phoneNumber = phoneNumber
-        self.researchInterests = researchInterests
-        self.email = email
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+class Professors(Base):
+    __tablename__ = 'Professors'
+    id = Column(Integer, primary_key=True)
+    firstName = Column(String(50))
+    lastName = Column(String(50))
+    phoneNumber = Column(String(20))
+    researchInterests = Column(Text)
+    email = Column(String(255))
\ No newline at end of file

From 61ebdbfcb9e82c0daa6ebce27e2b43546c59044e Mon Sep 17 00:00:00 2001
From: danield2255 <danield2255@gmail.com>
Date: Sun, 23 Feb 2020 14:25:45 -0800
Subject: [PATCH 074/272] add sql-alchemy professors object to the database

---
 database_wrapper.py | 42 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)

diff --git a/database_wrapper.py b/database_wrapper.py
index ffbb8e9..7040b7e 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -20,6 +20,7 @@
 
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
 from Entity.Courses import Courses
+from Entity.Professors import Professors
 
 
 class BadDictionaryKeyError(Exception):
@@ -256,6 +257,7 @@ def __init__(self, config_file: str = 'config.json') -> None:
         # self.Base = declarative_base()
         self.engine = None  # gets set according to config_file
         self.Courses = Courses
+        self.Professors = Professors
         self.AudioSampleMetaData = AudioSampleMetaData
 
         with open(config_file) as json_data_file:
@@ -296,6 +298,7 @@ def __safe_create(SQLAlchemy_object):
             return
 
         __safe_create(self.Courses)
+        __safe_create(self.Professors)
         __safe_create(self.AudioSampleMetaData)
 
     def _create_database_session(self):
@@ -420,6 +423,45 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
 
         pass
 
+    def save_faculty(self, professor: dict) -> bool:
+        """ 
+         Save the given professor into the database. 
+  
+         Example input: 
+         { 
+             "id": 1, 
+             "firstName": "Tim", 
+             "lastName": "Kearns", 
+             "phoneNumber": "805-123-4567" ,
+             "researchInterests": "algorithms, databases",
+             "email": "tkearns@calpoly.edu"
+         } 
+  
+         Args: 
+             professor: a dictionary that corresponds to the fields in Professor
+  
+         Raises: 
+             BadDictionaryKeyError - ... 
+             BadDictionaryValueError - ... 
+  
+         Returns: 
+             True if all is good, else False 
+         """ 
+         professor_data= Professors()
+         professor_data.id = professor["id"]
+         professor_data.firstName = professor["firstName"]
+         professor_data.lastName = professor["lastName"]
+         professor_data.phoneNumber = professor["phoneNumber"]
+         professor_data.researchInterests = professor["researchInterests"]
+         professor_data.email = professor["email"]
+
+         # insert this new professor_data object into the Professors table 
+         self.session.add(professor_data) 
+         self.session.commit() 
+         return True
+
+
+
     def _execute(self, query: str):
         return self.engine.execute(query)
 

From 08dbb9015b6e7f41209c97691cce5ca203a01f7c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 23 Feb 2020 14:28:22 -0800
Subject: [PATCH 075/272] manually tested and passed
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(mf-qa-pairs#52) ✗ ./database_wrapper.py
initialized database session
initialized NimbusMySQLAlchemy
creating Courses...
<Courses> already exists
creating AudioSampleMetaData...
<AudioSampleMetaData> already exists
creating QuestionAnswerPair...
<QuestionAnswerPair> created
NimbusMySQLAlchemy closed
(venv) ➜  api git:(mf-qa-pairs#52) ✗
---
 database_wrapper.py | 24 ++++++------------------
 1 file changed, 6 insertions(+), 18 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 7a8d92a..4f98e18 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -764,26 +764,14 @@ def close(self) -> None:
 
 if __name__ == "__main__":
     db = NimbusMySQLAlchemy()
-    course_list = db.get_course_properties("CSC", 357)
-    print("course_list:", course_list)
-    course_list = db.get_course_properties("CSC", "357")
-    print("course_list:", course_list)
-    csc357 = course_list[0]
-    print("course_list[0].courseName", csc357.courseName)
 
-    db.create_AudioSampleMetaData_table()
+    db._create_all_tables()
 
     metadata = {
-        "isWakeWord": "ww",
-        "firstName": "john",
-        "lastName": "doe",
-        "gender": "f",
-        "noiseLevel": "q",
-        "location": "here",
-        "tone": "serious-but-not-really",
-        "timestamp": 1577077883,
-        "username": "guest",
-        "filename": "filename",
+        "can_we_answer": False,
+        "answer_type": AnswerType.other,
+        "question_format": "What is the meaning of life?",
+        "answer_format": "Dr. Fizzbuzz says the answer is sqrt(1764)",
     }
 
-    db.save_audio_sample_meta_data(metadata)
+    db.save_question_answer_pair(metadata)

From 756f039b18c16305fb3365280fadfcd3c11426c5 Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 23 Feb 2020 14:27:21 -0800
Subject: [PATCH 076/272] Add SQLAlchemy code for Calendars

---
 Entity/Calendars.py | 21 +++++++++++++++++++++
 database_wrapper.py | 37 +++++++++++++++++++++++++++++++++++++
 2 files changed, 58 insertions(+)
 create mode 100644 Entity/Calendars.py

diff --git a/Entity/Calendars.py b/Entity/Calendars.py
new file mode 100644
index 0000000..3306053
--- /dev/null
+++ b/Entity/Calendars.py
@@ -0,0 +1,21 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+# This is the way SQLAlchemy initializes their special classes	
+Base = declarative_base()
+
+class Calendars(Base):
+    __tablename__ = 'Calendars'
+
+    calendar_id = Column(Integer, primary_key=True)
+    date = Column(String(10))
+    day = Column(Integer)
+    month = Column(String(10))
+    year = Column(Integer)
+    raw_events_text = Column(Text)
+
+
+    def __repr__(self):
+        return "<Calendars (date={}, events={})>".format(
+            self.date, self.raw_events_text)
+        
\ No newline at end of file
diff --git a/database_wrapper.py b/database_wrapper.py
index ffbb8e9..4db4a5a 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -19,6 +19,7 @@
 from sqlalchemy.orm import sessionmaker
 
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
+from Entity.Calendars import Calendars
 from Entity.Courses import Courses
 
 
@@ -255,6 +256,7 @@ def __init__(self, config_file: str = 'config.json') -> None:
         # # sqlalchemy needs a Base class for all the database entities
         # self.Base = declarative_base()
         self.engine = None  # gets set according to config_file
+        self.Calendars = Calendars
         self.Courses = Courses
         self.AudioSampleMetaData = AudioSampleMetaData
 
@@ -295,6 +297,7 @@ def __safe_create(SQLAlchemy_object):
             print("<{}> created".format(table_name))
             return
 
+        __safe_create(self.Calendars)
         __safe_create(self.Courses)
         __safe_create(self.AudioSampleMetaData)
 
@@ -420,6 +423,40 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
 
         pass
 
+    def save_calendar(self, calendar_data: dict):
+        """ 
+         Save the given calendar into the database. 
+  
+         Example input: 
+         { 
+             "date": 7_4_2020,
+             "day": 4,
+             "month": July,
+             "year": 2020,
+             "raw_events_text": ['Academic holiday - Independence Day Observed']
+         } 
+  
+         Args: 
+             calendar_data: a dictionary that corresponds to the fields in Calendar 
+  
+         Raises: 
+             BadDictionaryKeyError - ... 
+             BadDictionaryValueError - ... 
+  
+         Returns: 
+             True if all is good, else False 
+         """ 
+        
+        calendar.date = calendar_data['date']
+        calendar.day = calendar_data['day']
+        calendar.month = calendar_data['month']
+        calendar.year = calendar_data['year']
+        calendar.raw_events_text = calendar_data['raw_events_text']
+
+        self.session.add(calendar)
+        self.session.commit()
+        return True
+
     def _execute(self, query: str):
         return self.engine.execute(query)
 

From 56858924ddd289ac0a5706482b9de8e509a921d9 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 23 Feb 2020 14:47:54 -0800
Subject: [PATCH 077/272] nimbus models

---
 nimbus-nlp/NIMBUS_NLP.py                      | 123 ++++++++
 .../models/nlp-model_02_23_2020_14:20:05.pkl  | Bin 0 -> 7774491 bytes
 .../models/nlp-model_02_23_2020_14:22:44.pkl  | Bin 0 -> 7774491 bytes
 .../models/nlp-model_02_23_2020_14:24:42.pkl  | Bin 0 -> 7774491 bytes
 nimbus-nlp/question_classifier.py             | 273 ++++++++++++++++++
 nimbus-nlp/save_and_load_model.py             |  40 +++
 6 files changed, 436 insertions(+)
 create mode 100644 nimbus-nlp/NIMBUS_NLP.py
 create mode 100644 nimbus-nlp/models/nlp-model_02_23_2020_14:20:05.pkl
 create mode 100644 nimbus-nlp/models/nlp-model_02_23_2020_14:22:44.pkl
 create mode 100644 nimbus-nlp/models/nlp-model_02_23_2020_14:24:42.pkl
 create mode 100644 nimbus-nlp/question_classifier.py
 create mode 100644 nimbus-nlp/save_and_load_model.py

diff --git a/nimbus-nlp/NIMBUS_NLP.py b/nimbus-nlp/NIMBUS_NLP.py
new file mode 100644
index 0000000..17dc030
--- /dev/null
+++ b/nimbus-nlp/NIMBUS_NLP.py
@@ -0,0 +1,123 @@
+import nltk
+import numpy as np
+import os
+import pandas as pd
+import re
+import sklearn.neighbors
+import spacy
+import sys
+
+from google.api_core.client_options import ClientOptions
+from google.cloud import automl_v1
+from google.cloud.automl_v1.proto import service_pb2
+
+# Temporary import for the classifier
+from question_classifier import QuestionClassifier
+
+class NIMBUS_NLP:
+
+    @staticmethod
+    def predict_question(input_question):
+        '''
+        Runs through variable extraction and the question classifier to
+        predict the intended question.
+
+        Args: input_question (string) - user input question to answer
+
+        Return: return_tuple (tuple) - contains the user's input question,
+                                       the variable extracted input question,
+                                       the entity extracted, and the predicted
+                                       answer
+
+        '''
+
+        variable_extraction = Variable_Extraction()
+        entity, normalized_sentence = variable_extraction.\
+                                        extract_variables(input_question)
+
+        classifier = TrainQuestionClassifier(save_model=False)
+        answer = classifier.classify_question(normalized_sentence)
+
+        return_tuple = (input_question, normalized_sentence,
+                        entity, answer)
+
+        return return_tuple
+
+
+class Variable_Extraction:
+    def __init__(self):
+        self.model_name = None # replace with the project model id
+        credential_path = None # replace with the path to the credential json
+        os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
+        self.entity = ""
+
+    def inline_text_payload(self, sent):
+        '''
+        Converts the input sentence into GCP's callable format
+
+        Args: sent (string) - input sentence
+
+        Return: (dict) - GCP NER input format
+
+        '''
+
+        return {'text_snippet': {'content': sent, 'mime_type': 'text/plain'} }
+
+    def get_prediction(self, sent):
+        '''
+        Obtains the prediction from the input sentence and returns the
+        normalized sentence
+
+        Args: sent (string) - input sentence
+
+        Return: request (PredictObject) - predictiton output
+        ''' 
+        
+        params = {}
+        
+        # Setup API 
+        options = ClientOptions(api_endpoint='automl.googleapis.com')
+        
+        # Create prediction object
+        predictor = automl_v1.PredictionServiceClient(client_options=options)
+
+        # Format input sentence
+        payload = self.inline_text_payload(sent)
+        
+        # Make prediction API call
+        request = predictor.predict(self.model_name, payload, params)
+
+        # Return the output of the API call
+        return request
+
+    def extract_variables(self, sent):
+        '''
+        Takes the prediction and replaces the entity with its corresponding tag
+
+        Args: sent (string) - input sentence
+
+        Return: (tuple) - (normalized sentence, entity) 
+
+        '''
+
+        # Make the prediction
+        request = self.get_prediction(sent)
+
+        # Obtain the entity in the sentence
+        self.entity = request.payload[0].text_extraction.text_segment.content 
+        
+        # Obtain the predicted tag 
+        tag = request.payload[0].display_name
+        
+        return sent.replace(self.entity, '[' + tag + ']'), self.entity
+
+
+#TODO: Add the Question_Classifier code directly into this file
+class Question_Classifier:
+    pass
+
+if __name__ == '__main__':
+    while True:
+        question = input("Enter a question: ")
+        answer = NIMBUS_NLP.predict_question(question)
+        print(answer)
diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14:20:05.pkl b/nimbus-nlp/models/nlp-model_02_23_2020_14:20:05.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14:22:44.pkl b/nimbus-nlp/models/nlp-model_02_23_2020_14:22:44.pkl
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diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14:24:42.pkl b/nimbus-nlp/models/nlp-model_02_23_2020_14:24:42.pkl
new file mode 100644
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diff --git a/nimbus-nlp/question_classifier.py b/nimbus-nlp/question_classifier.py
new file mode 100644
index 0000000..0259b53
--- /dev/null
+++ b/nimbus-nlp/question_classifier.py
@@ -0,0 +1,273 @@
+import re
+import nltk
+import spacy
+import numpy as np
+import sklearn.neighbors
+import pandas as pd
+import sys
+from save_and_load_model import save_model, load_latest_model
+
+# TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
+
+
+class TrainQuestionClassifier:
+    def __init__(self, question_data_file_name=None, save_model=False):
+        self.save_model = save_model
+        self.nlp = spacy.load('en_core_web_sm')
+        if(question_data_file_name):
+            self.questions = pd.read_csv(question_data_file_name)
+        # The possible WH word tags returned through NLTK part of speech tagging
+        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
+        self.overall_features = {}
+        self.classifier = None
+        if(save_model == True):
+            self.build_question_classifier()
+        else:
+            self.load_latest_classifier()
+
+
+    def load_latest_classifier(self):
+        self.classifier = load_latest_model()
+
+
+
+    def get_question_features(self, question):
+        # print("using new algorithm")
+        """
+        Method to extract features from each individual question.
+        """
+        features = {}
+
+        # Extract the main verb from the question before additional processing
+        main_verb = str(self.extract_main_verb(question))
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
+        stemmed_main_verb = self.nlp(main_verb)[0]
+        features[stemmed_main_verb] = 60
+
+        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
+        # WITH WEIGHT 60
+        words_pos = nltk.pos_tag(filtered_words)
+        for word_pos in words_pos:
+            if self.is_wh_word(word_pos[1]):
+                features[word_pos[0]] = 60
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
+            if word not in features:
+                features[word] = 30
+
+        return features
+
+    def get_question_features_old_algorithm(self, question):
+        print("using old algorithm....")
+        """
+            Method to extract features from each individual question.
+            """
+        features = {}
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+        filtered_words = self.get_lemmas(words)
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        features[filtered_words[0]] = 60
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            features[word] = 30
+
+        return features
+
+    # EXTRACTS THE MAIN VERB FROM A QUESTION USING THE DEPENDENCY TREE
+    # THE MAIN VERB OF THE QUESTION SHOULD BE THE ROOT OF THE TREE
+    # Note: this method of extracting the main verb is not perfect, but
+    # for single sentence questions that should have no ambiguity about the main verb,
+    # it should be sufficient.
+    def extract_main_verb(self, question):
+        doc = self.nlp(question)
+        sents = list(doc.sents)
+        if len(sents) == 0:
+            raise ValueError("Empty question")
+
+        return sents[0].root
+
+    def get_lemmas(self, words):
+        return [self.nlp(word)[0].lemma_ for word in words]
+
+    def is_wh_word(self, pos):
+        return pos in self.WH_WORDS
+
+    def build_question_classifier(self):
+        """
+        Build overall feature set for each question based on feature vectors of individual questions.
+        Train KNN classification model with overall feature set.
+        """
+
+        # READ QUESTIONS
+        questions = pd.read_csv('question_set_clean.csv')
+        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
+        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
+
+        question_features = questions['features'].values.tolist()
+
+        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
+        for feature in question_features:
+            for key in feature:
+                if key not in self.overall_features:
+                    self.overall_features[key] = 0
+        self.overall_features["not related"] = 0
+        vectors = []
+        for feature in question_features:
+            vector = dict.fromkeys(self.overall_features, 0)
+            for key in feature:
+                vector[key] = feature[key]
+            vectors.append(np.array(list(vector.values())))
+
+        y_train = questions['questionFormat']
+        vectors = np.array(vectors)
+        y_train = np.array(y_train)
+        self.classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
+        self.classifier.fit(vectors, y_train)
+        if (self.save_model == True):
+            save_model(self.classifier, "nlp-model")
+
+    def filterWHTags(self, question):
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        question_tags = nltk.pos_tag(filtered_words)
+        question_tags = [
+            tag for tag in question_tags if self.is_wh_word(tag[1])]
+        return question_tags
+
+    def validate_WH(self, test_question, predicted_question):
+        """
+        Assumes that only 1 WH word exists
+        Returns True if the WH word in the test question equals the
+        WH word in the predicted question
+        """
+
+        test_tags = self.filterWHTags(test_question)
+        predicted_tags = self.filterWHTags(predicted_question)
+
+        # Uncomment these lines below to see
+        # print("Test")
+        # print(test_tags)
+        # print()
+
+        # print("Predicted")
+        # print(predicted_tags)
+        # print()
+
+        # Compares all WH words in the tags array and returns False if one doesn't match
+        min_tag_len = min(len(test_tags), len(predicted_tags))
+        wh_match = True
+        i = 0
+        while (wh_match and i < min_tag_len):
+            wh_match = wh_match and (test_tags[i][0] == predicted_tags[i][0])
+            i += 1
+        return wh_match
+
+    def classify_question(self, test_question):
+        """
+        Match a user query with a question in the database based on the classifier we trained and overall features we calculated.
+        Return relevant question.
+        """
+        if self.classifier is None:
+            raise ValueError("Classifier not initialized")
+
+        if self.use_new:
+            test_features = self.get_question_features(test_question)
+        else:
+            test_features = self.get_question_features_old_algorithm(
+                test_question)
+
+        test_vector = dict.fromkeys(self.overall_features, 0)
+        for key in test_features:
+            if key in test_vector:
+                test_vector[key] = test_features[key]
+            else:
+                # IF A WORD IS NOT IN THE EXISTING FEATURE SET, IT MAY BE A QUESTION WE CANNOT ANSWER.
+                test_vector["not related"] += 250
+        test_vector = np.array(list(test_vector.values()))
+        test_vector = test_vector.reshape(1, len(test_vector))
+        min_dist = np.min(self.classifier.kneighbors(
+            test_vector, n_neighbors=1)[0])
+        if min_dist > 150:
+            return "I don't think that's a Statistics related question! Try asking something about the STAT curriculum."
+
+        predicted_question = self.classifier.predict(test_vector)[0]
+
+        wh_words_match = self.validate_WH(test_question, predicted_question)
+        # Uncomment to print whether the WH words match
+        # print("WH Words Match?:", wh_words_match)
+
+        if (not wh_words_match):
+            return "WH Words Don't Match"
+
+        return predicted_question
+
+
+def main():
+    # use_new = False
+    # print(sys.argv)
+    # if len(sys.argv) > 1 and sys.argv[1] == 'new':
+    #     use_new = True
+    classifier = TrainQuestionClassifier(save_model=False)
+    # print(classifier.get_question_features(
+    #     "What are Foaad Khosmood's office hours?"))
+    # print(classifier.get_question_features(
+    #     "Does Foaad Khosmood have office hours?"))
+    # print(classifier.get_question_features("Who teaches CSC 480"))
+    # print(classifier.get_question_features("CSC 480 is taught by who?"))
+    # print(classifier.get_question_features("Khosmood teaches CSC 480?"))
+    # print(classifier.get_question_features(
+    #     "Whose office hours are between 1 and 2 pm?"))
+    # print(classifier.get_question_features("Where is Franz Kurfess' office?"))
+    # print(classifier.get_question_features("This is a normal sentence."))
+    # print(classifier.get_question_features("[COURSE] is taught by who?"))
+    # print(classifier.get_question_features("How do I register for classes?"))
+
+    while True:
+        test = input("Ask me a question: ")
+        print(classifier.classify_question(test))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/nimbus-nlp/save_and_load_model.py b/nimbus-nlp/save_and_load_model.py
new file mode 100644
index 0000000..16d49d1
--- /dev/null
+++ b/nimbus-nlp/save_and_load_model.py
@@ -0,0 +1,40 @@
+import os
+import numpy as np
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.feature_extraction import DictVectorizer
+from sklearn import svm
+from sklearn.externals import joblib
+import pickle
+from datetime import datetime
+from os import listdir
+from os.path import isfile, join
+import re
+
+PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
+now = datetime.now()
+date_time = now.strftime("_%m_%d_%Y_%H:%M:%S")
+
+
+def save_model(model, model_name):
+    save_path = PROJECT_DIR + '/models/' + model_name + date_time + '.pkl'
+    f = open(save_path, 'wb')
+    pickle.dump(model, f)
+    f.close()
+    print('Saved model :', save_path)
+
+
+def load_model(model_name):
+    train_path = PROJECT_DIR + '/models/' + model_name + '.joblib'
+    return joblib.load(train_path)
+
+def load_latest_model():
+    train_path = PROJECT_DIR + '/models/'
+    onlyfiles = [f for f in listdir(train_path) if isfile(join(train_path, f))]
+    r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+\:[\d]+\:[\d]+)', f)[0], '%m_%d_%Y_%H:%M:%S')) for f in onlyfiles]
+    r = sorted(r, key=lambda x: x[1])
+    model_path = r[-1][0]
+    return joblib.load(train_path + model_path)
+
+
+load_latest_model()
\ No newline at end of file

From 85b956bc47fe4bc249b6b4a182c1f94c507a2255 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 23 Feb 2020 14:57:00 -0800
Subject: [PATCH 078/272] update save type

---
 .../models/nlp-model_02_23_2020_14:24:42.pkl  | Bin 7774491 -> 0 bytes
 ....pkl => nlp-model_02_23_2020_14_52_48.pkl} | Bin
 ....pkl => nlp-model_02_23_2020_14_53_28.pkl} | Bin
 nimbus-nlp/save_and_load_model.py             |   5 ++---
 4 files changed, 2 insertions(+), 3 deletions(-)
 delete mode 100644 nimbus-nlp/models/nlp-model_02_23_2020_14:24:42.pkl
 rename nimbus-nlp/models/{nlp-model_02_23_2020_14:20:05.pkl => nlp-model_02_23_2020_14_52_48.pkl} (100%)
 rename nimbus-nlp/models/{nlp-model_02_23_2020_14:22:44.pkl => nlp-model_02_23_2020_14_53_28.pkl} (100%)

diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14:24:42.pkl b/nimbus-nlp/models/nlp-model_02_23_2020_14:24:42.pkl
deleted file mode 100644
index 8d12a937945d9052fe28fc298e24f4bcfb054db1..0000000000000000000000000000000000000000
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literal 0
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z1PBlyK!5-N0t5&UAV44j_h0wyd-tBa|0y?rzU1+5|M=TI{yvZ2d;0%g`r22$`sFXa
z|C;B&=H;*WgeP9|N%vp-{FlArwNJk26JP%1{a3v7weR$rmw)Pyd&w)`>HeqQG##q@
zVXu4Xt6%Z5m%sQmKjNl`7r*AEFMp@|ufJ*bhWnp(^XCih|IC{|f7D}bN>9A|6Yuf(
zP0^>{WIpkpZ@T{(Z>jQ`H-A3w@n=2$tT){Mted~S@}qA4c=Hc`hudX*_D%Z9`=4|3
z=S$MT=iVfq>fmSH#24KEyqiDY(!t};dgJ}izezmQ#T#xipS=IZn?GOjru%PtDtzRV
z_kZ?N@rBR58RtdK<3*qH^82rS#V5Vy{+n-#UikJmCExq`ANT>!|DgL{aFc%BOP>G#
E0a@va9RL6T

diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14:20:05.pkl b/nimbus-nlp/models/nlp-model_02_23_2020_14_52_48.pkl
similarity index 100%
rename from nimbus-nlp/models/nlp-model_02_23_2020_14:20:05.pkl
rename to nimbus-nlp/models/nlp-model_02_23_2020_14_52_48.pkl
diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14:22:44.pkl b/nimbus-nlp/models/nlp-model_02_23_2020_14_53_28.pkl
similarity index 100%
rename from nimbus-nlp/models/nlp-model_02_23_2020_14:22:44.pkl
rename to nimbus-nlp/models/nlp-model_02_23_2020_14_53_28.pkl
diff --git a/nimbus-nlp/save_and_load_model.py b/nimbus-nlp/save_and_load_model.py
index 16d49d1..f4e2918 100644
--- a/nimbus-nlp/save_and_load_model.py
+++ b/nimbus-nlp/save_and_load_model.py
@@ -13,7 +13,7 @@
 
 PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
 now = datetime.now()
-date_time = now.strftime("_%m_%d_%Y_%H:%M:%S")
+date_time = now.strftime("_%m_%d_%Y_%H_%M_%S")
 
 
 def save_model(model, model_name):
@@ -31,10 +31,9 @@ def load_model(model_name):
 def load_latest_model():
     train_path = PROJECT_DIR + '/models/'
     onlyfiles = [f for f in listdir(train_path) if isfile(join(train_path, f))]
-    r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+\:[\d]+\:[\d]+)', f)[0], '%m_%d_%Y_%H:%M:%S')) for f in onlyfiles]
+    r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+_[\d]+_[\d]+)', f)[0], '%m_%d_%Y_%H_%M_%S')) for f in onlyfiles]
     r = sorted(r, key=lambda x: x[1])
     model_path = r[-1][0]
     return joblib.load(train_path + model_path)
 
 
-load_latest_model()
\ No newline at end of file

From 0443be0213a13ba344496e7533db43c453296670 Mon Sep 17 00:00:00 2001
From: taylor-nguyen-987 <43256137+taylor-nguyen-987@users.noreply.github.com>
Date: Sun, 23 Feb 2020 15:00:28 -0800
Subject: [PATCH 079/272] add sqlalchemy locations

---
 Entity/Locations.py | 16 ++++++++++++++++
 database_wrapper.py | 34 +++++++++++++++++++++++++++++++++-
 2 files changed, 49 insertions(+), 1 deletion(-)
 create mode 100644 Entity/Locations.py

diff --git a/Entity/Locations.py b/Entity/Locations.py
new file mode 100644
index 0000000..e4d9df5
--- /dev/null
+++ b/Entity/Locations.py
@@ -0,0 +1,16 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+class Locations(Base):
+    __tablename__ = 'Location'
+    location_id = Column(Integer, primary_key = True)
+    building_number = Column(Integer)
+    name = Column(String(100))
+    longitude = Column(String(10))
+    latitude = Column(String(10))
+
+    def __repr__(self):
+        return "<Locations (building_number = {}, name = {}, longitude = {}, latitude = {})>".format(
+            self.building_number, self.name, self.longitude, self.latitude)
\ No newline at end of file
diff --git a/database_wrapper.py b/database_wrapper.py
index ffbb8e9..35b9aa5 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -20,7 +20,7 @@
 
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
 from Entity.Courses import Courses
-
+from Entity.Locations import Locations
 
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
@@ -257,6 +257,7 @@ def __init__(self, config_file: str = 'config.json') -> None:
         self.engine = None  # gets set according to config_file
         self.Courses = Courses
         self.AudioSampleMetaData = AudioSampleMetaData
+        self.Locations = Locations
 
         with open(config_file) as json_data_file:
             config = json.load(json_data_file)
@@ -297,6 +298,7 @@ def __safe_create(SQLAlchemy_object):
 
         __safe_create(self.Courses)
         __safe_create(self.AudioSampleMetaData)
+        __safe_create(self.Locations)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -419,6 +421,36 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         self.session.commit()
 
         pass
+    def save_location(self, location_data: dict):
+        """
+        Save the given location data into the database.
+
+        Example Input:
+        {
+            "building_number": 1,
+            "name": Administration,
+            "longitude": -120.658561,
+            "latitude": 35.300960
+        }
+        Args:
+            location_data: a dictionary that corresponds to the fields in Locations
+
+        Raises:
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            True if all good, else False
+        """
+        location = Locations()
+        location.building_number = location_data['building_number']
+        location.name = location_data['name']
+        location.longitude = location_data['longitude']
+        location.latitude = location_data['latitude']
+
+        self.session.add(location)
+        self.session.commit()
+        return True
 
     def _execute(self, query: str):
         return self.engine.execute(query)

From ca8e85eeb33dc484e11fb8b516f5fabe08af8bad Mon Sep 17 00:00:00 2001
From: austin <austinsilveria@gmail.com>
Date: Sun, 23 Feb 2020 15:25:23 -0800
Subject: [PATCH 080/272] Use auto incrementing id for Courses table and add
 docs

---
 Entity/Courses.py   |  2 +-
 database_wrapper.py | 34 +++++++++++++++++++++++++++++-----
 flask_api.py        |  3 +++
 3 files changed, 33 insertions(+), 6 deletions(-)

diff --git a/Entity/Courses.py b/Entity/Courses.py
index d2cec31..e5eba18 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -22,7 +22,7 @@ class CollegeStanding(enum.Enum):
 class Courses(Base):
     __tablename__ = 'Courses'
     # TODO: update schema and this Courses class to follow snake_case convention
-    courseId = Column(String(10), primary_key=True)
+    id = Column(Integer, primary_key=True)
     dept = Column(String(5))
     courseNum = Column(Integer)
     termsOffered = Column(SET('F', 'W', 'SP', 'SU', 'TBD'))
diff --git a/database_wrapper.py b/database_wrapper.py
index 479cac6..11be8ba 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -424,18 +424,42 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         pass
 
     def save_course(self, course_data: dict):
-        expected_keys = {'courseId', 'dept', 'courseNum', 'units',
+        """
+        Save the course into the NimbusDatabase.
+
+        course_data this point looks like:
+        {
+            "dept": CPE,
+            "courseNum": 357,
+            "units": 4,
+            "termsOffered": "F,W,SP",
+            "courseName": "Systems Programming",
+            "raw_concurrent_text": "N/A",
+            "raw_recommended_text": "N/A",
+            "raw_prerequisites_text": "CSC/CPE,102,and,CSC/CPE,103,with,..."
+        }
+
+        Raises:
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            True if all is good, else False
+        """
+        expected_keys = {'dept', 'courseNum', 'units',
                          'termsOffered', 'courseName', 'raw_concurrent_text',
                          'raw_recommended_text', 'raw_prerequisites_text'}
         self.validate_input_keys(course_data, expected_keys)
 
-        course = self.session.query(Courses).filter_by(courseId=course_data['courseId']).first()
+        course = self.session.query(Courses).filter_by(dept=course_data['dept'],
+                                                       courseNum=course_data['courseNum']).first()
         if not course:
-            print("Adding new course: {}".format(course_data['courseId']))
+            print("Adding new course: {} {}".format(course_data['dept'],
+                                                    course_data['courseNum']))
             course = Courses()
-            course.courseId = course_data['courseId']
         else:
-            print("Updating course: {}".format(course_data['courseId']))
+            print("Updating course: {} {}".format(course_data['dept'],
+                                                  course_data['courseNum']))
 
         course.dept = course_data['dept']
         course.courseNum = course_data['courseNum']
diff --git a/flask_api.py b/flask_api.py
index e26a7e1..0506d0b 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -115,6 +115,9 @@ def save_a_recording():
 
 @app.route('/new_data/courses', methods=['POST'])
 def save_courses():
+    """
+    Persists list of courses
+    """
     data = json.loads(request.get_json())
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for course in data['courses']:

From 318d9d1b7ec94c9e81cb5a057b01097900e5efdc Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 23 Feb 2020 15:45:27 -0800
Subject: [PATCH 081/272] fixes longitude and latitude fields && tested
 manually

We ran
```
./database_wrapper.py
```

and the result was a new table (Location) created in the database with the provided data dictionary

Co-Authored-By: taylor-nguyen-987 <taylor-nguyen-987@users.noreply.github.com>
---
 Entity/Locations.py |  4 ++--
 database_wrapper.py | 49 ++++++++++++++++++++-------------------------
 2 files changed, 24 insertions(+), 29 deletions(-)

diff --git a/Entity/Locations.py b/Entity/Locations.py
index e4d9df5..e7e423f 100644
--- a/Entity/Locations.py
+++ b/Entity/Locations.py
@@ -8,8 +8,8 @@ class Locations(Base):
     location_id = Column(Integer, primary_key = True)
     building_number = Column(Integer)
     name = Column(String(100))
-    longitude = Column(String(10))
-    latitude = Column(String(10))
+    longitude = Column(String(255))
+    latitude = Column(String(255))
 
     def __repr__(self):
         return "<Locations (building_number = {}, name = {}, longitude = {}, latitude = {})>".format(
diff --git a/database_wrapper.py b/database_wrapper.py
index 3e682a0..7599ee4 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -25,6 +25,7 @@
 from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
 from Entity.Professors import Professors
 
+
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
 
@@ -482,7 +483,6 @@ def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         self.session.commit()
         return True
 
-
     def save_location(self, location_data: dict):
         """
         Save the given location data into the database.
@@ -490,7 +490,7 @@ def save_location(self, location_data: dict):
         Example Input:
         {
             "building_number": 1,
-            "name": Administration,
+            "name": "Administration",
             "longitude": -120.658561,
             "latitude": 35.300960
         }
@@ -505,16 +505,15 @@ def save_location(self, location_data: dict):
             True if all good, else False
         """
         location = Locations()
-        location.building_number = location_data['building_number']
-        location.name = location_data['name']
-        location.longitude = location_data['longitude']
-        location.latitude = location_data['latitude']
+        location.building_number = location_data["building_number"]
+        location.name = location_data["name"]
+        location.longitude = location_data["longitude"]
+        location.latitude = location_data["latitude"]
 
         self.session.add(location)
         self.session.commit()
         return True
 
-
     def save_calendar(self, calendar_data: dict):
         """ 
          Save the given calendar into the database. 
@@ -537,20 +536,19 @@ def save_calendar(self, calendar_data: dict):
   
          Returns: 
              True if all is good, else False 
-        """ 
+        """
 
         calendar = Calendars()
-        calendar.date = calendar_data['date']
-        calendar.day = calendar_data['day']
-        calendar.month = calendar_data['month']
-        calendar.year = calendar_data['year']
-        calendar.raw_events_text = calendar_data['raw_events_text']
+        calendar.date = calendar_data["date"]
+        calendar.day = calendar_data["day"]
+        calendar.month = calendar_data["month"]
+        calendar.year = calendar_data["year"]
+        calendar.raw_events_text = calendar_data["raw_events_text"]
 
         self.session.add(calendar)
         self.session.commit()
         return True
 
-
     def save_faculty(self, professor: dict) -> bool:
         """ 
          Save the given professor into the database. 
@@ -574,7 +572,7 @@ def save_faculty(self, professor: dict) -> bool:
   
          Returns: 
              True if all is good, else False 
-        """ 
+        """
 
         professor_data = Professors()
         professor_data.id = professor["id"]
@@ -584,13 +582,11 @@ def save_faculty(self, professor: dict) -> bool:
         professor_data.researchInterests = professor["researchInterests"]
         professor_data.email = professor["email"]
 
-        # insert this new professor_data object into the Professors table 
-        self.session.add(professor_data) 
-        self.session.commit() 
+        # insert this new professor_data object into the Professors table
+        self.session.add(professor_data)
+        self.session.commit()
         return True
 
-
-
     def _execute(self, query: str):
         return self.engine.execute(query)
 
@@ -598,7 +594,6 @@ def __del__(self):
         print("NimbusMySQLAlchemy closed")
 
 
-
 class NimbusMySQL(NimbusDatabase):
     """An adapter for mysql-connector-python to fit our program.
 
@@ -884,11 +879,11 @@ def close(self) -> None:
 
     db._create_all_tables()
 
-    metadata = {
-        "can_we_answer": False,
-        "answer_type": AnswerType.other,
-        "question_format": "What is the meaning of life?",
-        "answer_format": "Dr. Fizzbuzz says the answer is sqrt(1764)",
+    data = {
+        "building_number": 1,
+        "name": "Administration",
+        "longitude": -120.658561,
+        "latitude": 35.300960,
     }
 
-    db.save_question_answer_pair(metadata)
+    db.save_location(data)

From b456f0bd55578ee0e08b32e7dd16bb3e4ef13ebd Mon Sep 17 00:00:00 2001
From: austin <austinsilveria@gmail.com>
Date: Sun, 23 Feb 2020 15:46:15 -0800
Subject: [PATCH 082/272] Fix linting issues

---
 Entity/Courses.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Entity/Courses.py b/Entity/Courses.py
index e5eba18..74241a2 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -1,4 +1,4 @@
-from sqlalchemy import Column, Integer, String, Text, Enum
+from sqlalchemy import Column, Integer, String, Text
 from sqlalchemy.ext.declarative import declarative_base
 from sqlalchemy.dialects.mysql import SET
 import enum

From b3a801a08b2701ad9cfc3d3971e8a34bbb08dcb7 Mon Sep 17 00:00:00 2001
From: zpdeng <allendeng4@gmail.com>
Date: Sun, 23 Feb 2020 22:10:51 -0800
Subject: [PATCH 083/272] Added club_name field to Club entity and changed
 variables to follow pep8 convention

---
 Entity/Clubs.py | 43 ++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 42 insertions(+), 1 deletion(-)

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index 79b15c9..9745369 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -1,5 +1,45 @@
-class Clubs:
+from builtins import str
+
+from sqlalchemy import Column, Integer, String, Text, Enum,
+from sqlalchemy.ext.declarative import declarative_base
+import enum
+from sqlalchemy.dialects.mysql import SET
+
+'''
+Column types of 'Clubs' table gathered from SQLWorkbench
+
+idClubs int(11) AI PK
+types varchar(255)
+desc text
+contactEmail varchar(45)
+contactEmail2 varchar(45)
+contactPerson varchar(45)
+contactPhone varchar(15)
+box varchar(45)
+advisorId int(11) #foreign id 
+affiliation varchar(255)
+'''
 
+Base = declarative_base()
+
+class Clubs(enum.Enum):
+    __tablename__ = "Clubs"
+    id_clubs = Column(Integer, primary_key = True)
+    club_name = Column(String(512)) #Added club_name
+    types = Column(String(255))
+    desc = Column(Text)
+    contact_email = Column(String(45))
+    contact_email_2 = Column(String(45))
+    contact_person = Column(String(45))
+    contact_phone = Column(String(15))
+    box = Column(String(45))
+    advisor_id = Column(Integer)
+    affiliation = Column(String(255))
+
+    def __repr__(self):
+        return "<Clubs (id = {}, "
+'''
+class Clubs:
     def __init__(self, idClubs, types, desc, contactEmail, contactEmail2,
                  contactPerson, contactPhone, box, advisorId, affiliation):
         self.idClubs = idClubs
@@ -12,3 +52,4 @@ def __init__(self, idClubs, types, desc, contactEmail, contactEmail2,
         self.box = box
         self.advisorId = advisorId
         self.affiliation = affiliation
+'''
\ No newline at end of file

From 9f7ea8ec9276cfc8469094deefdc44ec3d894d0f Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 23 Feb 2020 22:24:08 -0800
Subject: [PATCH 084/272] Revert "Added club_name field to Club entity and
 changed variables to follow pep8 convention"

This reverts commit b3a801a08b2701ad9cfc3d3971e8a34bbb08dcb7.
---
 Entity/Clubs.py | 43 +------------------------------------------
 1 file changed, 1 insertion(+), 42 deletions(-)

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index 9745369..79b15c9 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -1,45 +1,5 @@
-from builtins import str
-
-from sqlalchemy import Column, Integer, String, Text, Enum,
-from sqlalchemy.ext.declarative import declarative_base
-import enum
-from sqlalchemy.dialects.mysql import SET
-
-'''
-Column types of 'Clubs' table gathered from SQLWorkbench
-
-idClubs int(11) AI PK
-types varchar(255)
-desc text
-contactEmail varchar(45)
-contactEmail2 varchar(45)
-contactPerson varchar(45)
-contactPhone varchar(15)
-box varchar(45)
-advisorId int(11) #foreign id 
-affiliation varchar(255)
-'''
-
-Base = declarative_base()
-
-class Clubs(enum.Enum):
-    __tablename__ = "Clubs"
-    id_clubs = Column(Integer, primary_key = True)
-    club_name = Column(String(512)) #Added club_name
-    types = Column(String(255))
-    desc = Column(Text)
-    contact_email = Column(String(45))
-    contact_email_2 = Column(String(45))
-    contact_person = Column(String(45))
-    contact_phone = Column(String(15))
-    box = Column(String(45))
-    advisor_id = Column(Integer)
-    affiliation = Column(String(255))
-
-    def __repr__(self):
-        return "<Clubs (id = {}, "
-'''
 class Clubs:
+
     def __init__(self, idClubs, types, desc, contactEmail, contactEmail2,
                  contactPerson, contactPhone, box, advisorId, affiliation):
         self.idClubs = idClubs
@@ -52,4 +12,3 @@ def __init__(self, idClubs, types, desc, contactEmail, contactEmail2,
         self.box = box
         self.advisorId = advisorId
         self.affiliation = affiliation
-'''
\ No newline at end of file

From 9a9a8cf8d094f82b47f59c7e8dc4d07c464f8e6f Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 24 Feb 2020 01:04:05 -0800
Subject: [PATCH 085/272] delete dead code && auto format

Co-Authored-By: Allen Deng <zpdeng@users.noreply.github.com>
---
 database_wrapper.py | 347 +++++---------------------------------------
 1 file changed, 33 insertions(+), 314 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 7599ee4..8904d0e 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -13,7 +13,6 @@
 from abc import ABC, abstractmethod
 from typing import List, Optional, Union
 
-import mysql.connector
 import sqlalchemy
 from sqlalchemy import create_engine, inspect
 from sqlalchemy.orm import sessionmaker
@@ -515,27 +514,27 @@ def save_location(self, location_data: dict):
         return True
 
     def save_calendar(self, calendar_data: dict):
-        """ 
-         Save the given calendar into the database. 
-  
-         Example input: 
-         { 
+        """
+         Save the given calendar into the database.
+
+         Example input:
+         {
              "date": 7_4_2020,
              "day": 4,
              "month": July,
              "year": 2020,
              "raw_events_text": ['Academic holiday - Independence Day Observed']
-         } 
-  
-         Args: 
-             calendar_data: a dictionary that corresponds to the fields in Calendar 
-
-         Raises: 
-             BadDictionaryKeyError - ... 
-             BadDictionaryValueError - ... 
-  
-         Returns: 
-             True if all is good, else False 
+         }
+
+         Args:
+             calendar_data: a dictionary that corresponds to the fields in Calendar
+
+         Raises:
+             BadDictionaryKeyError - ...
+             BadDictionaryValueError - ...
+
+         Returns:
+             True if all is good, else False
         """
 
         calendar = Calendars()
@@ -550,28 +549,28 @@ def save_calendar(self, calendar_data: dict):
         return True
 
     def save_faculty(self, professor: dict) -> bool:
-        """ 
-         Save the given professor into the database. 
-
-         Example input: 
-         { 
-             "id": 1, 
-             "firstName": "Tim", 
-             "lastName": "Kearns", 
+        """
+         Save the given professor into the database.
+
+         Example input:
+         {
+             "id": 1,
+             "firstName": "Tim",
+             "lastName": "Kearns",
              "phoneNumber": "805-123-4567" ,
              "researchInterests": "algorithms, databases",
              "email": "tkearns@calpoly.edu"
-         } 
-  
-         Args: 
+         }
+
+         Args:
              professor: a dictionary that corresponds to the fields in Professor
 
-         Raises: 
-             BadDictionaryKeyError - ... 
-             BadDictionaryValueError - ... 
-  
-         Returns: 
-             True if all is good, else False 
+         Raises:
+             BadDictionaryKeyError - ...
+             BadDictionaryValueError - ...
+
+         Returns:
+             True if all is good, else False
         """
 
         professor_data = Professors()
@@ -594,286 +593,6 @@ def __del__(self):
         print("NimbusMySQLAlchemy closed")
 
 
-class NimbusMySQL(NimbusDatabase):
-    """An adapter for mysql-connector-python to fit our program.
-
-    The NimbusMySQL makes the mysql-connector-python interface
-    compatible with the our program's interface.
-
-    Attributes:
-        config_file: a JSON file with the mysql details.
-    """
-
-    def __init__(self, config_file: str = "config.json") -> None:
-        """
-        Inits Nimbus Database using the hostname, username, password
-        found inside the config_file.
-
-        Args:
-            config_file: a JSON file with a 'mysql' object that holds
-            the connection details.
-
-        Returns:
-            None
-
-        Raises:
-            BadConfigFileError: If the config_file fields are unexpected.
-        """
-        self.connection = None  # gets set according to config_file
-        self.database = None  # gets set according to config_file
-
-        with open(config_file) as json_data_file:
-            config = json.load(json_data_file)
-
-        if config.get("mysql", False):
-            mysql_config = config["mysql"]
-            self.connection = mysql.connector.connect(
-                host=mysql_config["host"],
-                user=mysql_config["user"],
-                passwd=mysql_config["password"],
-            )
-
-            self.database = mysql_config["database"]
-
-            if self.connection is None or self.database is None:
-                raise BadConfigFileError("failed to connect to MySQL")
-        else:
-            msg = "config.json is missing {} field.".format("mysql")
-            raise BadConfigFileError(msg)
-
-    """Example:
-    >> > db = NimbusDatabase("config.json")
-    >> > db.get_property_from_related_entities(
-        ["firstName", "lastName", "ohRoom"],
-        "Professors", "OfficeHours", "professorId")
-    [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]"""
-
-    def get_property_from_entity(
-        self,
-        prop: List[str],
-        entity: str,
-        condition_field: Optional[str] = None,
-        condition_value: Optional[str] = None,
-    ) -> List[str]:
-        cursor = self.connection.cursor()
-        cursor.execute("use `{}`".format(self.database))
-        columns = ", ".join(prop)
-
-        if (condition_value is not None) and (condition_field is not None):
-            conditions = condition_field + " = " + '"' + condition_value + '"'
-            statement = "SELECT {} FROM {} WHERE {}".format(columns, entity, conditions)
-
-        elif (condition_value is None) and (condition_field is None):
-            statement = "SELECT {} FROM {}".format(columns, entity)
-
-        else:
-            print("choose both condition field and condition value")
-            return []
-
-        # print(statement)
-        cursor.execute(statement)
-        tups = cursor.fetchall()
-        cursor.close()
-
-        return tups
-
-    def get_property_from_related_entities(
-        self,
-        prop: List[str],
-        entity1: str,
-        entity2: str,
-        key1: str,
-        key2: Optional[str] = None,
-        condition_field: Optional[str] = None,
-        condition_value: Optional[str] = None,
-    ) -> List[str]:
-        return []
-
-    def get_fields_of_entity(self, entity1: str) -> str:
-        cursor = self.connection.cursor()
-        # don't know why the line below is a syntactically wrong.
-        # cursor.execute('use {}'.format(self.database))
-        cursor.execute("SHOW COLUMNS FROM {}".format(entity1))
-        fields = cursor.fetchall()
-        cursor.close()
-        return fields
-
-    def yield_entities(self) -> str:
-        """Yields a list of all entities in the database."""
-        cursor = self.connection.cursor()
-        cursor.execute("use {}".format(self.database))
-        cursor.execute("show tables")
-        # `fetchall` returns a list of single element tuples
-        tups = cursor.fetchall()
-        cursor.close()
-        for x in tups:
-            yield x[0]
-
-    def get_entities(self) -> str:
-        """
-        Returns a list of all entities in the database.
-
-        Example:
-        >>> from database_wrapper import NimbusMySQL
-        >>> db = NimbusMySQL()
-        >>> db.get_entities()
-        ['Clubs', 'Corequisites', 'Corrections', 'Courses', 'OfficeHours',
-        'PolyRatings', 'Prerequisites', 'Professors', 'ResearchInterests',
-        'ResponseFormats', 'ShortNames']
-        """
-        cursor = self.connection.cursor()
-        cursor.execute("use `{}`".format(self.database))
-        cursor.execute("show tables")
-        # `fetchall` returns a list of single element tuples
-        tups = cursor.fetchall()
-        cursor.close()
-        return [x[0] for x in tups]
-
-    def get_relationships(self) -> str:
-        """Returns a list of all relationships between entities in database."""
-        pass
-
-    def get_unique(self, entity, prop) -> str:
-        """
-        """
-        cursor = self.connection.cursor()
-        cursor.execute("use `{}`".format(self.database))
-        cursor.execute("select distinct({}) from {}".format(prop, entity))
-        # `fetchall` returns a list of single element tuples
-        tups = cursor.fetchall()
-        cursor.close()
-        return [x[0] for x in tups]
-
-    def get_bitcount(self, entity, prop) -> str:
-        """
-        """
-        cursor = self.connection.cursor()
-        cursor.execute("use `{}`".format(self.database))
-        cursor.execute("select bit_count(`{}`) from `{}`".format(prop, entity))
-        # `fetchall` returns a list of single element tuples
-        tups = cursor.fetchall()
-        cursor.close()
-        return [x[0] for x in tups]
-
-    def get_professor_properties(self, lastName) -> List[str]:
-        # TODO: need to change the get property from entity to accept multiple
-        #       condition fields and values, currently just looks by last name
-        """
-        To get a particular professor's properties
-        """
-
-        # FIXME: resolve unused variable `props`, until then, commented out
-        props = self.get_property_from_entity(
-            prop=["*"],
-            entity="Professors",
-            condition_field="lastName",
-            condition_value=lastName,
-        )
-        return props
-
-    def get_course_properties(self, courseName) -> List[str]:
-        # TODO: decide how we want to look up courses/ maybe create two methods
-        #       Currently looks up by courseName
-        """
-        """
-
-        # FIXME: resolve unused variable `props`, until then, commented out
-        props = self.get_property_from_entity(
-            ["*"], "Courses", condition_field="courseName", condition_value=courseName
-        )
-        return props
-
-    def get_club_properties(self, clubName):
-        """
-        Gives all of the properties of a club in the database.
-
-        Args:
-            clubName: a string representing the name of the club
-
-        Returns:
-            TODO: Determine type of the return based on the get_property_from_entity() method
-        """
-        pass
-
-    def get_course_schedule(self, courseName):
-        """
-        Describes all of the days and times during the week that a course takes place.
-
-        Args:
-            courseName: a string representing the name of the course
-
-        Returns:
-            TODO: Determine type of the return based on the get_property_from_entity() method
-        """
-        pass
-
-    def get_professor_schedule(self, lastName):
-        """
-        Gives all of the properties of a club in the database.
-
-        Args:
-            lastName: a string representing the last name of the professor
-            TODO: Choose exactly how to be referencing professors
-
-        Returns:
-            TODO: Determine type of the return based on the get_property_from_related_entity() method
-        """
-        pass
-
-    def get_course_prerequisites(self, courseName):
-        """
-        Gives the prerequisite courses for a given course in the database.
-
-        Args:
-            courseName: a string representing the name of the course
-
-        Returns:
-            TODO: Determine type of the return based on the get_property_from_related_entity() method
-        """
-        pass
-
-    def get_professor_research_interests(self, lastName):
-        """
-        Gives the research interests of a specific professor.
-
-        Args:
-            lastName: a string representing the lastName of the professor
-            TODO: Choose exactly how to be referencing professors
-        Returns:
-            TODO: Determine type of the return based on the get_property_from_related_entity() method
-        """
-        pass
-
-    def get_professors_with_interest(self, interest):
-        """
-        Gives the professors who have a specific research interest.
-
-        Args:
-            interest: a string representing a research interest professors may have
-
-        Returns:
-            TODO: Determine type of the return based on the get_property_from_related_entity() method
-        """
-        pass
-
-    def get_professor_polyrating(self, lastName):
-        """
-        Gives the average polyrating of a specific professor.
-
-        Args:
-            lastName: a string representing the lastName of the professor
-            TODO: Choose exactly how to be referencing professors
-        Returns:
-            TODO: Determine type of the return based on the get_property_from_related_entity() method
-        """
-        pass
-
-    def close(self) -> None:
-        """Close the database connection"""
-        self.connection.close()
-        super().close()
-
-
 if __name__ == "__main__":
     db = NimbusMySQLAlchemy()
 

From ca98e63e926f3528fde62a9e7ec9ee242a1b7f99 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 24 Feb 2020 01:12:06 -0800
Subject: [PATCH 086/272] hacky code to get props from entities

Co-Authored-By: Allen Deng <zpdeng@users.noreply.github.com>
---
 Entity/Professors.py | 15 ++++++--
 database_wrapper.py  | 86 ++++++++++++++++++++++++++++++++++++++++++--
 2 files changed, 96 insertions(+), 5 deletions(-)

diff --git a/Entity/Professors.py b/Entity/Professors.py
index 76930c2..9417a16 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -1,15 +1,24 @@
 from sqlalchemy import Column, Integer, String, Text
 from sqlalchemy.ext.declarative import declarative_base
-
+import enum
 
 # This is the way SQLAlchemy initializes their special classes
 Base = declarative_base()
 
+
 class Professors(Base):
-    __tablename__ = 'Professors'
+    __tablename__ = "Professors"
     id = Column(Integer, primary_key=True)
     firstName = Column(String(50))
     lastName = Column(String(50))
     phoneNumber = Column(String(20))
     researchInterests = Column(Text)
-    email = Column(String(255))
\ No newline at end of file
+    email = Column(String(255))
+
+
+class ProfessorsProperties(enum.Enum):
+    firstName = Professors.firstName
+    lastName = Professors.lastName
+    phoneNumber = Professors.phoneNumber
+    researchInterests = Professors.researchInterests
+    email = Professors.email
diff --git a/database_wrapper.py b/database_wrapper.py
index 8904d0e..a7e2431 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -21,8 +21,14 @@
 from Entity.Calendars import Calendars
 from Entity.Courses import Courses
 from Entity.Locations import Locations
-from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
-from Entity.Professors import Professors
+from Entity.QuestionAnswerPair import QuestionAnswerPair
+from Entity.Professors import Professors, ProfessorsProperties
+
+
+UNION_ENTITIES = Union[
+    Calendars, Courses, Professors, AudioSampleMetaData, QuestionAnswerPair
+]
+UNION_PROPERTIES = Union[ProfessorsProperties]
 
 
 class BadDictionaryKeyError(Exception):
@@ -316,6 +322,50 @@ def _create_database_session(self):
         self.session = Session()
         print("initialized database session")
 
+    def get_property_from_entity(
+        self, prop: str, entity: UNION_ENTITIES, entity_string: str
+    ) -> List[UNION_ENTITIES]:
+        """
+        This function implements the abstractmethod to get a column of values
+        from a NimbusDatabase entity.
+
+        Example:
+        >>> db = NimbusMySQLAlchemy()
+        >>> db.get_property_from_entity(
+            prop="email",
+            entity=Entity.Professors.Professors,
+            entity_string="Khosmood",
+        )
+        >>> ["foaad@calpoly.edu"]
+
+        Args:
+            prop: ...
+            entity: ...
+            entity_string: ...
+
+        Returns:
+            A list of values for `prop`
+            such that the `entity` matches the `entity_string`.
+
+        Raises:
+            ...
+        """
+        # TODO: be smart by check only Professor.firstName Professor.lastName
+        # TODO: only check Course.dept, Course.course_num, Course.course_name
+        props = []
+        for k in entity.__dict__:
+            if not k.startswith("_"):
+                props.append(entity.__dict__[k])
+
+        results = []
+        # FIXME: this is not good querying!
+        # TODO: don't be so lazy!
+        for p in props:
+            query_obj = self.session.query(entity)
+            res = query_obj.filter(p.contains(entity_string)).all()
+            results += res
+        return [x.__dict__.get(prop) for x in results]
+
     def get_course_properties(
         self, department: str, course_num: Union[str, int]
     ) -> List[Courses]:
@@ -606,3 +656,35 @@ def __del__(self):
     }
 
     db.save_location(data)
+
+    print(
+        [
+            (x, y)
+            for x, y in zip(
+                db.get_property_from_entity(
+                    prop="longitude", entity=Locations, entity_string="Admin"
+                ),
+                db.get_property_from_entity(
+                    prop="latitude", entity=Locations, entity_string="Admin"
+                ),
+            )
+        ]
+    )
+
+    print(
+        db.get_property_from_entity(
+            prop="courseName", entity=Courses, entity_string="Algo"
+        )
+    )
+
+    print(
+        db.get_property_from_entity(
+            prop="courseName", entity=Courses, entity_string="Design"
+        )
+    )
+
+    print(
+        db.get_property_from_entity(
+            prop="courseName", entity=Courses, entity_string="357"
+        )
+    )

From 64ac36ebe8ae777431a62308b632db898a7bcb7a Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Mon, 24 Feb 2020 14:35:06 -0800
Subject: [PATCH 087/272] added SQLAlchemy Clubs and Sections

---
 Entity/Sections.py | 39 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)
 create mode 100644 Entity/Sections.py

diff --git a/Entity/Sections.py b/Entity/Sections.py
new file mode 100644
index 0000000..fea64a8
--- /dev/null
+++ b/Entity/Sections.py
@@ -0,0 +1,39 @@
+from sqlalchemy import Column, Integer, String, Enum
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.dialects.mysql import SET
+import enum
+
+Base = declarative_base()
+
+
+class SectionType(enum.Enum):
+    activity = Act = 0
+    seminar = Sem = 1
+    independent = Ind = 2
+    lab = Lab = 3
+    lecture = Lec = 4
+
+
+class Sections(Base):
+    __tablename__ = "Sections"
+    id_sections = Column(Integer, primary_key=True)
+    section_name = Column(String(255))
+    instructor = Column(String(255))
+    alias = Column(String(255))
+    title = Column(String(255))
+    phone = Column(String(255))
+    office = Column(String(255))
+    type = Column(Enum(SectionType))
+    days = Column(SET('M', 'T', 'W', 'R', 'F'))
+    start = Column(String(255))
+    end = Column(String(255))
+    location = Column(String(255))
+    department = Column(String(255))
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"

From cd433999122f403d5b84b29131321765f73724c0 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Mon, 24 Feb 2020 14:35:20 -0800
Subject: [PATCH 088/272] added SQLAlchemy Clubs and Sections

---
 Entity/Clubs.py     | 41 ++++++++++++-------
 database_wrapper.py | 99 +++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 126 insertions(+), 14 deletions(-)

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index 79b15c9..e118bcd 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -1,14 +1,27 @@
-class Clubs:
-
-    def __init__(self, idClubs, types, desc, contactEmail, contactEmail2,
-                 contactPerson, contactPhone, box, advisorId, affiliation):
-        self.idClubs = idClubs
-        self.types = types
-        self.desc = desc
-        self.contactEmail = contactEmail
-        self.contactEmail2 = contactEmail2
-        self.contactPerson = contactPerson
-        self.contactPhone = contactPhone
-        self.box = box
-        self.advisorId = advisorId
-        self.affiliation = affiliation
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class Clubs(Base):
+    __tablename__ = "Clubs"
+    id_clubs = Column(Integer, primary_key=True)
+    club_name = Column(String(255))
+    types = Column(String(255))
+    desc = Column(Text)
+    contact_email = Column(String(255))
+    contact_email_2 = Column(String(255))
+    contact_person = Column(String(255))
+    contact_phone = Column(String(10))
+    box = Column(String(3))
+    advisor = Column(String(255))
+    affiliation = Column(String(255))
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/database_wrapper.py b/database_wrapper.py
index 250ef41..ca3bbc6 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -23,6 +23,8 @@
 from Entity.Locations import Locations
 from Entity.QuestionAnswerPair import QuestionAnswerPair
 from Entity.Professors import Professors, ProfessorsProperties
+from Entity.Clubs import Clubs
+from Entity.Sections import Sections
 
 
 UNION_ENTITIES = Union[
@@ -264,6 +266,8 @@ class NimbusMySQLAlchemy:  # NimbusMySQLAlchemy(NimbusDatabase):
 
     def __init__(self, config_file: str = "config.json") -> None:
         self.engine = None  # gets set according to config_file
+        self.Clubs = Clubs
+        self.Sections = Sections
         self.Calendars = Calendars
         self.Courses = Courses
         self.Professors = Professors
@@ -331,6 +335,8 @@ def __safe_create(SQLAlchemy_object):
             print(f"<{table_name}> created")
             return
 
+        __safe_create(self.Clubs)
+        __safe_create(self.Sections)
         __safe_create(self.Calendars)
         __safe_create(self.Courses)
         __safe_create(self.Professors)
@@ -442,6 +448,99 @@ def save_question_answer_pair(self, qa_dict: dict) -> bool:
         self.session.commit()
         return True
 
+    def save_section(self, formatted_data: dict) -> bool:
+        """
+        Save the given section into the database
+
+         Example input:
+         {
+             "section_name": "CSC 480_06"
+             "instructor": "Kauffman, Daniel Alexander"
+             "alias": "dkauffma"
+             "title": "Instructor AY"
+             "phone": "+1.805.756.2824"
+             "office": "014-0254A"
+             "type": Lab
+             "days": SET('M', 'W', 'F')
+             "start": "10:10 AM"
+             "end": "11:00 AM"
+             "location": "014-0257"
+             "department": "CENG-Computer Science & Software Engineering"
+         }
+
+         Args:
+             formatted_data: a dictionary that corresponds to the fields in Sections
+
+         Raises:
+             BadDictionaryKeyError - ...
+             BadDictionaryValueError - ...
+
+         Returns:
+             True if all is good, else False
+        """
+
+        section = Sections()
+        section.section_name = formatted_data['section_name']
+        section.instructor = formatted_data['instructor']
+        section.alias = formatted_data['alias']
+        section.title = formatted_data['title']
+        section.phone = formatted_data['phone']
+        section.office = formatted_data['office']
+        section.type = formatted_data['type']
+        section.days = formatted_data['days']
+        section.start = formatted_data['start']
+        section.end = formatted_data['end']
+        section.location = formatted_data['location']
+        section.department = formatted_data['department']
+
+        self.session.add(section)
+        self.session.commit()
+        return True
+
+    def save_club(self, formatted_data: dict) -> bool:
+        """
+        Save the given club into the database.
+
+         Example input:
+         {
+             "club_name": Cal Poly Computer Science and Artificial Intelligence
+             "types": Academic, Special Interest
+             "desc": The Computer Science and Artificial Intelligence club provides..."
+             "contact_email": maikens@calpoly.edu
+             "contact_email_2": fkurfess@calpoly.edu
+             "contact_person": Miles Aikens
+             "contact_phone": 7349723564
+             "box": 89
+             "advisor": Franz Kurfess
+             "affiliation": None
+         }
+
+         Args:
+             formatted_data: a dictionary that corresponds to the fields in Clubs
+
+         Raises:
+             BadDictionaryKeyError - ...
+             BadDictionaryValueError - ...
+
+         Returns:
+             True if all is good, else False
+        """
+
+        club_data = Clubs()
+        club_data.club_name = formatted_data['club_name']
+        club_data.types = formatted_data['types']
+        club_data.desc = formatted_data['desc']
+        club_data.contact_email = formatted_data['contact_email']
+        club_data.contact_email_2 = formatted_data['contact_email_2']
+        club_data.contact_phone = formatted_data['contact_phone']
+        club_data.box = formatted_data['box']
+        club_data.advisor = formatted_data['advisor']
+        club_data.affiliation = formatted_data['affiliation']
+
+        self.session.add(club_data)
+        self.session.commit()
+        return True
+
     @raises_database_error  # noqa - C901 "too complex" - agreed TODO: reduce complexity
     def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
         """

From f34de8e0ea1d6587db623fed61288c6629095a54 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Mon, 24 Feb 2020 15:10:49 -0800
Subject: [PATCH 089/272] added missing field for Clubs

---
 Entity/Sections.py  |  2 +-
 database_wrapper.py | 18 +++++++++++-------
 2 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/Entity/Sections.py b/Entity/Sections.py
index fea64a8..8985298 100644
--- a/Entity/Sections.py
+++ b/Entity/Sections.py
@@ -10,7 +10,7 @@ class SectionType(enum.Enum):
     activity = Act = 0
     seminar = Sem = 1
     independent = Ind = 2
-    lab = Lab = 3
+    lab = 3
     lecture = Lec = 4
 
 
diff --git a/database_wrapper.py b/database_wrapper.py
index ca3bbc6..e24b12e 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -532,6 +532,7 @@ def save_club(self, formatted_data: dict) -> bool:
         club_data.desc = formatted_data['desc']
         club_data.contact_email = formatted_data['contact_email']
         club_data.contact_email_2 = formatted_data['contact_email_2']
+        club_data.contact_person = formatted_data['contact_person']
         club_data.contact_phone = formatted_data['contact_phone']
         club_data.box = formatted_data['box']
         club_data.advisor = formatted_data['advisor']
@@ -813,13 +814,13 @@ def __del__(self):
         [
             (x, y)
             for x, y in zip(
-                db.get_property_from_entity(
-                    prop="longitude", entity=Locations, entity_string="Admin"
-                ),
-                db.get_property_from_entity(
-                    prop="latitude", entity=Locations, entity_string="Admin"
-                ),
-            )
+            db.get_property_from_entity(
+                prop="longitude", entity=Locations, entity_string="Admin"
+            ),
+            db.get_property_from_entity(
+                prop="latitude", entity=Locations, entity_string="Admin"
+            ),
+        )
         ]
     )
 
@@ -840,3 +841,6 @@ def __del__(self):
             prop="courseName", entity=Courses, entity_string="357"
         )
     )
+
+
+

From d44b69a6ca75bce11303303476a928dfebf030ee Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 24 Feb 2020 15:56:27 -0800
Subject: [PATCH 090/272] added quick test cases of save_clubs save_sections
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(venv) ➜  api git:(clubs_sections) ✗ ./database_wrapper.py
initialized database session
initialized NimbusMySQLAlchemy
creating Clubs...
<Clubs> already exists
creating Sections...
<Sections> already exists
creating Calendars...
<Calendars> already exists
creating Courses...
<Courses> already exists
creating Professors...
<Professors> already exists
creating AudioSampleMetaData...
<AudioSampleMetaData> already exists
creating Location...
<Location> already exists
creating QuestionAnswerPair...
<QuestionAnswerPair> already exists

 What clubs does is Kurfess advise?

 ['Cal Poly Computer Science and Artificial Intelligence', 'Cal Poly Computer Science and Artificial Intelligence']

 What sections is Kauffman teaching?

 ['CSC 480_06']

 What is the long & lat of Admin building?

 [('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096'), ('-120.658561', '35.30096')]

 What courses are about Algo?

 ['CSC 349. Design and  Analysis of Algorithms.', 'CSC 448. Bioinformatics Algorithms.']

 What courses are about Design?

 ['CPE 133. Digital Design.', 'CPE 203. Project-Based Object-Oriented Programming and Design.', 'CPE 233. Computer Design and Assembly Language Programming.', 'CPE 329. Microcontroller-Based Systems Design.', 'CPE 333. Computer Hardware Architecture and Design.', 'CPE 336. Microprocessor System Design.', 'CPE 441. Computer-Aided Design of VLSI Devices.', 'CPE 446. Design of Fault-Tolerant Digital Systems.', 'CPE 447. Stringed Musical Instrument Acoustics, Mechanics, and Transducer Design.', 'CPE 522. Advanced Real-Time Operating Systems Design.', 'CPE 523. Digital Systems Design.', 'CPE 541. Advanced VLSI Design.', 'CSC 203. Project-Based Object-Oriented Programming and Design.', 'CSC 305. Individual Software Design and Development.', 'CSC 349. Design and  Analysis of Algorithms.', 'CSC 366. Database Modeling, Design and Implementation.', 'CSC 371. Game Design.', 'CSC 435. Introduction to Object Oriented Design Using Graphical User Interfaces.', 'CSC 484. User-Centered Interface Design and Development.', 'CSC 486. Human-Computer Interaction Theory and Design.', 'CPE 441. Computer-Aided Design of VLSI Devices.']

 What courses are somehow related to 357?

 ['CPE 357. Systems Programming.', 'CSC 357. Systems Programming.', 'CPE 357. Systems Programming.', 'CSC 357. Systems Programming.', 'CPE 316. Microcontrollers and Embedded Applications.', 'CPE 321. Introduction to Computer Security.', 'CPE 414. Robotic Systems Integration.', 'CPE 416. Autonomous Mobile Robotics.', 'CPE 419. Applied Parallel Computing.', 'CPE 428. Computer Vision.', 'CPE 453. Introduction to Operating Systems.', 'CPE 458. Current Topics in Computer Systems.', 'CPE 464. Introduction to Computer Networks.', 'CPE 469. Distributed Systems.', 'CPE 471. Introduction to Computer Graphics.', 'CPE 485. Autonomous Robot Navigation.', 'CPE 569. Distributed Computing.', 'CSC 300. Professional Responsibilities.', 'CSC 305. Individual Software Design and Development.', 'CSC 307. Introduction to Software Engineering.', 'CSC 309. Software Engineering II.', 'CSC 321. Introduction to Computer Security.', 'CSC 323. Cryptography Engineering.', 'CSC 344. Music Programming.', 'CSC 429. Current Topics in Computer Security.', 'CSC 430. Programming Languages.', 'CSC 436. Mobile Application Development.', 'CSC 437. Dynamic Web Development.', 'CSC 453. Introduction to Operating Systems.', 'CSC 458. Current Topics in Computer Systems.', 'CSC 469. Distributed Systems.', 'CSC 471. Introduction to Computer Graphics.', 'CSC 569. Distributed Computing.']
NimbusMySQLAlchemy closed
(venv) ➜  api git:(clubs_sections) ✗
---
 database_wrapper.py | 53 ++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 52 insertions(+), 1 deletion(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index e24b12e..0b8aee7 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -24,7 +24,7 @@
 from Entity.QuestionAnswerPair import QuestionAnswerPair
 from Entity.Professors import Professors, ProfessorsProperties
 from Entity.Clubs import Clubs
-from Entity.Sections import Sections
+from Entity.Sections import Sections, SectionType
 
 
 UNION_ENTITIES = Union[
@@ -810,7 +810,55 @@ def __del__(self):
 
     db.save_location(data)
 
+
+    data = {
+        "club_name": "Cal Poly Computer Science and Artificial Intelligence",
+        "types": "Academic, Special Interest",
+        "desc": "The Computer Science and Artificial Intelligence club provides...",
+        "contact_email": "maikens@calpoly.edu",
+        "contact_email_2": "fkurfess@calpoly.edu",
+        "contact_person": "Miles Aikens",
+        "contact_phone": "7349723564",
+        "box": "89",
+        "advisor": "Franz Kurfess",
+        "affiliation": "None"
+    }
+
+    db.save_club(data)
+
+    data = {
+        "section_name": "CSC 480_06",
+        "instructor": "Kauffman, Daniel Alexander",
+        "alias": "dkauffma",
+        "title": "Instructor AY",
+        "phone": "+1.805.756.2824",
+        "office": "014-0254A",
+        "type": SectionType.lab,
+        "days": set({'M', 'W', 'F'}),
+        "start": "10:10 AM",
+        "end": "11:00 AM",
+        "location": "014-0257",
+        "department": "CENG-Computer Science & Software Engineering"
+    }
+
+    db.save_section(data)
+
+    print(
+        "\n", "\n", "What clubs does is Kurfess advise?", "\n", "\n",
+        db.get_property_from_entity(
+            prop="club_name", entity=Clubs, entity_string="Kurfess"
+        )
+    )
+
+    print(
+        "\n", "\n", "What sections is Kauffman teaching?", "\n", "\n",
+        db.get_property_from_entity(
+            prop="section_name", entity=Sections, entity_string="Kauffman"
+        )
+    )
+
     print(
+        "\n", "\n", "What is the long & lat of Admin building?", "\n", "\n",
         [
             (x, y)
             for x, y in zip(
@@ -825,18 +873,21 @@ def __del__(self):
     )
 
     print(
+        "\n", "\n", "What courses are about Algo?", "\n", "\n",
         db.get_property_from_entity(
             prop="courseName", entity=Courses, entity_string="Algo"
         )
     )
 
     print(
+        "\n", "\n", "What courses are about Design?", "\n", "\n",
         db.get_property_from_entity(
             prop="courseName", entity=Courses, entity_string="Design"
         )
     )
 
     print(
+        "\n", "\n", "What courses are somehow related to 357?", "\n", "\n",
         db.get_property_from_entity(
             prop="courseName", entity=Courses, entity_string="357"
         )

From 9d5ecde01563ae5f09faa251c73c54752ef66d8c Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Mon, 24 Feb 2020 16:59:25 -0800
Subject: [PATCH 091/272] added QA object

---
 QA.py | 53 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 53 insertions(+)
 create mode 100644 QA.py

diff --git a/QA.py b/QA.py
new file mode 100644
index 0000000..66bdd7e
--- /dev/null
+++ b/QA.py
@@ -0,0 +1,53 @@
+from typing import Callable, Dict, Any
+
+Extracted_Vars = Dict[str, Any]
+DB_Data = Dict[str, Any]
+DB_Query = Callable[[Extracted_Vars], DB_Data]
+Answer_Formatter = Callable[[Extracted_Vars, DB_Data], str]
+
+
+class QA:
+    """
+    A class for wrapping functions used to answer a question.
+    """
+
+    def __init__(self, q_format, db, db_query, format_function):
+        """
+        Args:
+            q_format (str): Question format string
+            db (NimbusDatabase): Object used to access remote database
+            db_query (DB_Query): Function used to get data from database. Takes
+                a dict of extracted variables and returns a dict of variables
+                from the database.
+            format_function (Answer_Formatter): Function used to format answer
+                string. Takes two dicts--one of extracted variables and one of
+                data retrieved from the database--and returns a str.
+        """
+        self.q_format = q_format
+        self.db = db
+        self.db_query = db_query
+        self.format_function = format_function
+
+    def _get_data_from_db(self, extracted_vars):
+        return self.db_query(extracted_vars)
+
+    def _format_answer(self, extracted_vars, db_data):
+        return self.format_function(extracted_vars, db_data)
+
+    def answer(self, extracted_vars):
+        db_data = self._get_data_from_db(extracted_vars)
+        return self._format_answer(extracted_vars, db_data)
+
+    def __hash__(self):
+        return hash(self.q_format)
+
+
+def create_qa_mapping(qa_list):
+    """
+    Creates a dictionary whose values are QA objects and keys are the question
+    formats of those QA objects.
+
+    Args:
+        qa_list (list(QA))
+    """
+    return {qa.q_format: qa for qa in qa_list}

From 423c1c2da15670a55524b457366dff17985ad5a5 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Tue, 25 Feb 2020 14:11:54 -0800
Subject: [PATCH 092/272] using a better auto formatter

black.readthedocs.io
---
 format.sh | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/format.sh b/format.sh
index 53537d8..502f12e 100755
--- a/format.sh
+++ b/format.sh
@@ -1,7 +1,3 @@
 #!/bin/bash
 
-
-# --recursive: makes it work on folders
-# --versbose: prints out the filename(s) while running 
-# --in-place: actually modifies the file(s)
-yapf --recursive --verbose --in-place *.py Entity/*.py modules/*.py
+black .

From 54db1c3bfbe2be005fa8486f75ee035cbf55bea6 Mon Sep 17 00:00:00 2001
From: zpdeng <allendeng4@gmail.com>
Date: Tue, 25 Feb 2020 22:49:16 -0800
Subject: [PATCH 093/272] updated README

---
 README.md | 139 ++++++++++++++++++++++++++++++++++++++++++++++++++----
 1 file changed, 130 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index 9360176..001b23f 100644
--- a/README.md
+++ b/README.md
@@ -1,18 +1,139 @@
 # api
 
-Python wrapper for MySQL database. 
-Also a REST API soon. 
+![GitHub repo size](https://img.shields.io/github/repo-size/calpoly-csai/api)
+![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/calpoly-csai/api)
+![GitHub closed issues](https://img.shields.io/github/issues-closed/calpoly-csai/api)
+![GitHub closed pull requests](https://img.shields.io/github/issues-pr-closed/calpoly-csai/api)
 
-[Michael Fekadu](github.com/mfekadu)
+Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CSAI_Voice_Assistant) accessible via HTTP REST protocol.
 
-[Tyler Campanile](github.com/tecampani)
+## 🚧 This API is still in-development, so expect the endpoints to be constantly changing until finalized.
 
-[Henry Yin](github.com/hyinnn)
+## GitHub Actions Status
+![Deploy To Staging Server](https://github.com/calpoly-csai/api/workflows/Deploy%20Dev%20To%20Staging%20Server/badge.svg)
 
-[Ben Dahlgren](github.com/Dahlgreb)
+![Run Tests](https://github.com/calpoly-csai/api/workflows/Run%20Tests/badge.svg)
 
-[Kush Upadhyay](github.com/kpu-21)
+![Python PEP8 Style Check](https://github.com/calpoly-csai/api/workflows/Python%20PEP8%20Style%20Check/badge.svg)
 
-[Steven Bradley](github.com/stbradle)
+![Python Pyre Type Annotation Check](https://github.com/calpoly-csai/api/workflows/Python%20Pyre%20Type%20Annotation%20Check/badge.svg)
 
-[Daniel DeFoe](github.com/danield2255)
+## Documentation
+
+- [ ] **TODO: INSERT LINK TO API DOCUMENTATION**
+
+- [ ] **TODO: USE http://readthedocs.org to host the docs live on the internet**
+
+- [ ] **TODO: [CREATE API DOCS 😅](https://github.com/calpoly-csai/api/milestone/2)**
+
+
+## Dev Environment Setup
+### Prerequisites
+1. Python 3.6.9
+
+2. pip 9.0.1
+
+
+### Database Configuration
+
+**Create a file** called `config.json` that should include at least the following details of a MySQL database:
+```json
+{
+    ...
+    "mysql": {
+        "host": "HOSTNAME",
+        "port": "PORT e.g. 3306",
+        "user": "USERNAME",
+        "password": "PASSWORD",
+        "database": "DATABASE",
+        ...
+    }
+    ...
+}
+```
+
+**You can also use [`config_SAMPLE.json`](https://github.com/calpoly-csai/api/blob/dev/config_SAMPLE.json) as a reference**
+
+_Contact anyone on the Data Team to get connection details for the Nimbus database_
+
+
+### Install
+
+```bash
+pip3 install -r requirements.txt
+```
+
+### Run the API server
+
+```bash
+python3 nimbus_api.py
+```
+
+**_Run in the background_**
+```bash
+python3 nimbus_api.py&
+```
+
+### Run the tests
+```bash
+pytest
+```
+
+### Python PEP8 Style Standards
+**_Run the `format` script to automatically make our code look nice_**
+```bash
+./format.sh
+```
+
+_Sometimes the format script is not enough, so run `lint` to manually style our code_
+```bash
+./lint.sh
+```
+
+## Deployment
+### What we use
+A Linux server (e.g. Ubuntu 18.04.3 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
+
+[See this documentation of the database deployment process](https://github.com/calpoly-csai/wiki/wiki/How-To-Install-and-Set-Up-a-Remote-MySQL-5.7-Database-and-Python-3.6-on-Ubuntu-18.04-with-Google-Cloud-Platform)
+
+
+## Contributing
+![GitHub issues](https://img.shields.io/github/issues/calpoly-csai/api)
+
+Have a [**look at the v1.0 project board for TODOs**](https://github.com/calpoly-csai/api/projects/1)!
+
+If you are new to programming, then filter for the [**![good first issue](https://img.shields.io/github/labels/calpoly-csai/api/good%20first%20issue)** label](https://github.com/calpoly-csai/api/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
+
+Pull requests are welcome.
+
+For major changes, please [**open an issue**](https://github.com/calpoly-csai/api/issues/new) first to discuss what you would like to change.
+
+Please make sure to update tests as appropriate.
+
+## License
+[GNU GPLv3](https://choosealicense.com/licenses/gpl-3.0/)
+
+
+## Authors and acknowledgment
+
+[Michael Fekadu](https://www.github.com/mfekadu)
+
+[John Waidhofer](https://www.github.com/Waidhoferj)
+
+[Miles Aikens](https://www.github.com/snekiam)
+
+[Daniel DeFoe](https://www.github.com/danield2255)
+
+[Taylor Nguyen](https://www.github.com/taylor-nguyen-987)
+
+[Adam Perlin](https://www.github.com/adamperlin)
+
+[Simon Ibssa](https://www.github.com/ibssasimon)
+
+[Kush Upadhyay](https://www.github.com/kpu-21)
+
+[Ben Dahlgren](https://www.github.com/Dahlgreb)
+
+[Tyler Campanile](https://www.github.com/tecampani)
+
+[Steven Bradley](https://www.github.com/stbradle)

From 8a10688b38996b7661d734947204c31b562c1e33 Mon Sep 17 00:00:00 2001
From: cewenike <chidiewenike@gmail.com>
Date: Wed, 26 Feb 2020 03:04:26 -0800
Subject: [PATCH 094/272] added the title remover and changed the return tuple
 to a dictionary contain all properties of the nlp pipeline

---
 nimbus-nlp/NIMBUS_NLP.py | 96 ++++++++++++++++++++++++++++++++--------
 1 file changed, 78 insertions(+), 18 deletions(-)

diff --git a/nimbus-nlp/NIMBUS_NLP.py b/nimbus-nlp/NIMBUS_NLP.py
index 17dc030..e558f3e 100644
--- a/nimbus-nlp/NIMBUS_NLP.py
+++ b/nimbus-nlp/NIMBUS_NLP.py
@@ -12,7 +12,7 @@
 from google.cloud.automl_v1.proto import service_pb2
 
 # Temporary import for the classifier
-from question_classifier import QuestionClassifier
+from question_classifier import TrainQuestionClassifier
 
 class NIMBUS_NLP:
 
@@ -24,32 +24,34 @@ def predict_question(input_question):
 
         Args: input_question (string) - user input question to answer
 
-        Return: return_tuple (tuple) - contains the user's input question,
-                                       the variable extracted input question,
-                                       the entity extracted, and the predicted
-                                       answer
+        Return: nlp_props (dict) - contains the user's input question,
+                                   the variable extracted input question,
+                                   the entity extracted, and the predicted
+                                   answer
 
         '''
 
+        # Instantiate the variable extraction class
         variable_extraction = Variable_Extraction()
-        entity, normalized_sentence = variable_extraction.\
-                                        extract_variables(input_question)
 
-        classifier = TrainQuestionClassifier(save_model=False)
-        answer = classifier.classify_question(normalized_sentence)
+        # Obtain the properties from variable extraction
+        nlp_props = variable_extraction.extract_variables(input_question)
 
-        return_tuple = (input_question, normalized_sentence,
-                        entity, answer)
-
-        return return_tuple
+        # Instantiate the question classifier class
+        classifier = TrainQuestionClassifier(save_model=True)
 
+        # Classify the question and add it to the nlp properties dictionary 
+        nlp_props["question class"] = classifier.\
+                classify_question(nlp_props["normalized question"])
+        
+        return nlp_props
+    
 
 class Variable_Extraction:
     def __init__(self):
         self.model_name = None # replace with the project model id
         credential_path = None # replace with the path to the credential json
         os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
-        self.entity = ""
 
     def inline_text_payload(self, sent):
         '''
@@ -96,21 +98,79 @@ def extract_variables(self, sent):
 
         Args: sent (string) - input sentence
 
-        Return: (tuple) - (normalized sentence, entity) 
-
+        Return: (dict) -    "entity" - extracted entity 
+                            "tag" - tag of the extracted entity 
+                            "normalized entity" - stripped entity
+                            "input question" - input question from the user
+                            "normalized question" - variable-replaced question
         '''
 
         # Make the prediction
         request = self.get_prediction(sent)
 
         # Obtain the entity in the sentence
-        self.entity = request.payload[0].text_extraction.text_segment.content 
+        entity = request.payload[0].text_extraction.text_segment.content 
         
         # Obtain the predicted tag 
         tag = request.payload[0].display_name
+
+        # Removes excessive words from the entity
+        normalized_entity = Variable_Extraction.excess_word_removal(entity, tag)
+
+        # Replaces the entity of input question with its corresponding tag
+        normalized_question = sent.replace(entity, '[' + tag + ']')
         
-        return sent.replace(self.entity, '[' + tag + ']'), self.entity
+        return {
+                    "entity"                : entity,
+                    "tag"                   : tag,
+                    "normalized entity"     : normalized_entity,
+                    "input question"        : sent,
+                    "normalized question"   : normalized_question
+               }
+
+    @staticmethod    
+    def excess_word_removal(entity, tag):
+        '''
+        Checks the tag and determines which excess word removal function to use
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: (string) - returns the normalized entity string
+
+        '''
+
+        if (tag == 'PROF'):
+            return Variable_Extraction.strip_titles(entity)
+
+        else:
+            return entity
+
+    @staticmethod
+    def strip_titles(entity):
+        '''
+        Strips titles from input entities
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: norm_entity (string) - the normalized, title-stripped entity
+
+        '''
+
+        # list of titles for removal
+        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.",\
+                  "mr.", "ms.", "mrs", "mr", "ms", "mister"}
+
+        # tokenizes the entity
+        for name in entity.split():
+
+            # checks each token with the titles set and replaces the title
+            # if it is within the word
+            if name.lower() in titles:
+                return entity.replace(name + " ", "")
 
+        # returns the original entity string 
+        # if there is no title in the word
+        return entity
 
 #TODO: Add the Question_Classifier code directly into this file
 class Question_Classifier:

From 8bb0bbfa9382426fb9524dc50b04d34ba0846109 Mon Sep 17 00:00:00 2001
From: austin <austinsilveria@gmail.com>
Date: Wed, 26 Feb 2020 17:49:34 -0800
Subject: [PATCH 095/272] Add endpoints for scraped data

---
 Entity/Locations.py |  4 +--
 database_wrapper.py | 31 ++++++++++++++-----
 flask_api.py        | 75 +++++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 100 insertions(+), 10 deletions(-)

diff --git a/Entity/Locations.py b/Entity/Locations.py
index e7e423f..649f8ef 100644
--- a/Entity/Locations.py
+++ b/Entity/Locations.py
@@ -4,9 +4,9 @@
 Base = declarative_base()
 
 class Locations(Base):
-    __tablename__ = 'Location'
+    __tablename__ = 'Locations'
     location_id = Column(Integer, primary_key = True)
-    building_number = Column(Integer)
+    building_number = Column(String(5))
     name = Column(String(100))
     longitude = Column(String(255))
     latitude = Column(String(255))
diff --git a/database_wrapper.py b/database_wrapper.py
index 0b8aee7..d41a1e2 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -526,7 +526,15 @@ def save_club(self, formatted_data: dict) -> bool:
              True if all is good, else False
         """
 
-        club_data = Clubs()
+        expected_keys = {'club_name', 'types', 'desc', 'contact_email',
+                         'contact_email_2', 'contact_person', 'contact_phone',
+                         'box', 'advisor', 'affiliation'}
+        self.validate_input_keys(formatted_data, expected_keys)
+
+        club_data = self.session.query(Clubs).filter_by(club_name=formatted_data['club_name']).first()
+        if not club_data:
+            club_data = Clubs()
+
         club_data.club_name = formatted_data['club_name']
         club_data.types = formatted_data['types']
         club_data.desc = formatted_data['desc']
@@ -666,12 +674,7 @@ def save_course(self, course_data: dict):
         course = self.session.query(Courses).filter_by(dept=course_data['dept'],
                                                        courseNum=course_data['courseNum']).first()
         if not course:
-            print("Adding new course: {} {}".format(course_data['dept'],
-                                                    course_data['courseNum']))
             course = Courses()
-        else:
-            print("Updating course: {} {}".format(course_data['dept'],
-                                                  course_data['courseNum']))
 
         course.dept = course_data['dept']
         course.courseNum = course_data['courseNum']
@@ -706,7 +709,13 @@ def save_location(self, location_data: dict):
         Returns:
             True if all good, else False
         """
-        location = Locations()
+        expected_keys = {'building_number', 'name', 'longitude', 'latitude'}
+        self.validate_input_keys(location_data, expected_keys)
+
+        location = self.session.query(Locations).filter_by(name=location_data['name']).first()
+        if not location:
+            location = Locations()
+
         location.building_number = location_data["building_number"]
         location.name = location_data["name"]
         location.longitude = location_data["longitude"]
@@ -739,8 +748,14 @@ def save_calendar(self, calendar_data: dict):
          Returns:
              True if all is good, else False
         """
+        expected_keys = {'date', 'day', 'month', 'year', 'raw_events_text'}
+        self.validate_input_keys(calendar_data, expected_keys)
+
+        calendar = self.session.query(Calendars).filter_by(date=calendar_data['date'],
+                                                           raw_events_text=calendar_data['raw_events_text']).first()
+        if not calendar:
+            calendar = Calendars()
 
-        calendar = Calendars()
         calendar.date = calendar_data["date"]
         calendar.day = calendar_data["day"]
         calendar.month = calendar_data["month"]
diff --git a/flask_api.py b/flask_api.py
index 43ba7a9..9f9c6e0 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -138,6 +138,81 @@ def save_courses():
     return "SUCCESS"
 
 
+@app.route('/new_data/clubs', methods=['POST'])
+def save_clubs():
+    """
+    Persists list of clubs
+    """
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    for club in data['clubs']:
+        try:
+            db.save_club(club)
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
+@app.route('/new_data/locations', methods=['POST'])
+def save_locations():
+    """
+    Persists list of locations
+    """
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    for location in data['locations']:
+        try:
+            db.save_location(location)
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
+@app.route('/new_data/calendars', methods=['POST'])
+def save_calendars():
+    """
+    Persists list of calendars
+    """
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    for calendar in data['calendars']:
+        try:
+            db.save_calendar(calendar)
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
 def create_filename(form):
     """
     Creates a string filename that adheres to the Nimbus foramtting standard.

From 2ecf49111bbe47d89f854be5a38c7b3d5d576268 Mon Sep 17 00:00:00 2001
From: zpdeng <allendeng4@gmail.com>
Date: Wed, 26 Feb 2020 20:08:07 -0800
Subject: [PATCH 096/272] Cleaned up querying code for get_all_qa_pairs()

---
 database_wrapper.py | 14 ++++----------
 1 file changed, 4 insertions(+), 10 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 3307418..828833f 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -352,19 +352,13 @@ def _create_database_session(self):
         print("initialized database session")
 
     def get_all_qa_pairs(self):
-        result = []
 
         qa_entity = QuestionAnswerPair
-        query_session = self.session.query(qa_entity)
-        for instance in query_session:
-            result += (instance.question_format,
-                          instance.answer_format)
 
-        it = iter(result)
-        tupleList = list(zip(it,it)) #list of QA tuples
+        query_session = self.session.query(qa_entity.question_format, qa_entity.answer_format)
+        result = query_session.all()
 
-
-        return tupleList
+        return result
 
     def return_qa_pair_csv(self):
         data = self.get_all_qa_pairs()
@@ -931,6 +925,6 @@ def __del__(self):
     )
 
 
-    print(db.get_all_qa_pairs())
+    print("\n\nQA Tuple list\n\n", db.get_all_qa_pairs(), "\n\n")
     db.return_qa_pair_csv()
 

From 220c0c8b0faab3102b2a357cef2c61527ab7b344 Mon Sep 17 00:00:00 2001
From: Adam Perlin <adamp@nanosoft.com>
Date: Thu, 27 Feb 2020 21:20:16 -0800
Subject: [PATCH 097/272] Refactor get_property_from_entity to allow for fuzzy
 matching

---
 database_wrapper.py | 65 ++++++++++++++++++++++++++-------------------
 1 file changed, 37 insertions(+), 28 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 828833f..13bf743 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -28,6 +28,8 @@
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
 
+from fuzzywuzzy import fuzz
+
 
 UNION_ENTITIES = Union[
     Calendars, Courses, Professors, AudioSampleMetaData, QuestionAnswerPair
@@ -369,18 +371,16 @@ def return_qa_pair_csv(self):
             for row in data:
                 csv_out.writerow(row)
 
+    def partial_fuzzy_match(self, tag_value, identifier):
+        return fuzz.partial_ratio(tag_value, identifier)
+
+    def full_fuzzy_match(self, tag_value, identifier):
+        return fuzz.ratio(tag_value, identifier)
 
-    def get_property_from_entity(
-        self, prop: str, entity: UNION_ENTITIES, entity_string: str
-    ) -> List[UNION_ENTITIES]:
-        """
-        ISSUE: 1)Don't know which column/attribute entity_string corresponds to
-                 for conditional filtering
-               2)Current code checks all attribute and returns row that contains
-                 entity string.
-                    -> Complication: return entity that
-        """
 
+    def get_property_from_entity(
+        self, prop: str, entity: UNION_ENTITIES, identifier: str, tag_column_map: dict
+    ):
         """
         This function implements the abstractmethod to get a column of values
         from a NimbusDatabase entity.
@@ -395,34 +395,43 @@ def get_property_from_entity(
         >>> ["foaad@calpoly.edu"]
 
         Args:
-            prop: ...
-            entity: ...
-            entity_string: ...
+            prop: the relevant property value to retrieve from matching entities
+            entity: the type of entity we want to get the property from
+            identifier: a string that identifies the entity in some way (i.e., a professor's name)
+            tag_column_map: a dictionary mapping entity types to columns that identify the entities
+                ex:
+                {Professors: {"firstName", "lastName"}}
 
         Returns:
-            A list of values for `prop`
-            such that the `entity` matches the `entity_string`.
-
-        Raises:
-            ...
+            A list of values for `prop`,
+            such that the `entity` matches `identifier`.
         """
+
+        MATCH_THRESHOLD = 80
+
         # TODO: be smart by check only Professor.firstName Professor.lastName
         # TODO: only check Course.dept, Course.course_num, Course.course_name
-        props = []
+        tag_props = []
         for k in entity.__dict__:
-            if not k.startswith("_"):
-                props.append(entity.__dict__[k])
+            if k in tag_column_map[entity]:
+                tag_props.append(k)
 
         results = []
-        # FIXME: this is not good querying!
-        # TODO: don't be so lazy!
-        for p in props:
-            query_obj = self.session.query(entity)
-            res = query_obj.filter(p.contains(entity_string)).all()
-            results += res
-        return [x.__dict__.get(prop) for x in results]
+        query_obj = self.session.query(entity)
+        for row in query_obj.all():
+            total_similarity = 0
+            tags = []
+            for tag_prop in tag_props:
+                total_similarity += self.full_fuzzy_match(row.__dict__[tag_prop], identifier)
+                tags.append(row.__dict__[tag_prop])
+
+            if total_similarity > MATCH_THRESHOLD:
+                results.append((total_similarity, tags, row.__dict__[prop]))
 
+        if len(results) < 1:
+            return None
 
+        return sorted(results, key=lambda pair: pair[0])[0][2]
 
     def get_course_properties(
         self, department: str, course_num: Union[str, int]

From 50bd7be1f1439f58da63b0c53997a0b9d4569f16 Mon Sep 17 00:00:00 2001
From: Adam Perlin <adamp@nanosoft.com>
Date: Thu, 27 Feb 2020 21:22:32 -0800
Subject: [PATCH 098/272] Update requirements.txt

---
 requirements.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/requirements.txt b/requirements.txt
index f90e5da..ca04585 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,6 +7,7 @@ entrypoints==0.3
 flake8==3.7.9
 Flask==1.1.1
 Flask-Cors==3.0.8
+fuzzy-wuzzy==0.18.0
 google-api-python-client==1.7.11
 google-auth==1.10.1
 google-auth-httplib2==0.0.3

From 0d99d7ef62bb899d22ce721af9531c2ed661d9ac Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Thu, 27 Feb 2020 22:59:42 -0800
Subject: [PATCH 099/272] add all relevant env vars to staging workflow

---
 .github/workflows/deploy_staging.yml | 17 ++++++++++++++++-
 1 file changed, 16 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/deploy_staging.yml b/.github/workflows/deploy_staging.yml
index e439dde..5649ca5 100644
--- a/.github/workflows/deploy_staging.yml
+++ b/.github/workflows/deploy_staging.yml
@@ -24,8 +24,23 @@ jobs:
       uses: actions/heroku@master
       env:
         HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
+        DATABASE_HOSTNAME: ${{ secrets.DATABASE_HOSTNAME }}
+        DATABASE_PASSWORD: ${{ secrets.DATABASE_PASSWORD }}
+        DATABASE_USERNAME: ${{ secrets.DATABASE_USERNAME }}
+        DATABASE_NAME: ${{ secrets.DATABASE_NAME }}
+        PYDRIVE_CLIENT_ID: ${{ secrets.PYDRIVE_CLIENT_ID }}
+        PYDRIVE_CLIENT_SECRET: ${{ secrets.PYDRIVE_CLIENT_SECRET }}
+        # in issue #67 we considered generating 
+        # credentials.json in a similar fashion to config.json
+        # but figured that the file was unreasonably large
+        # and therefore a simple JSON string would suffice. 
+        # https://github.com/calpoly-csai/api/issues/67
+        GOOGLE_DRIVE_CREDENTIALS: ${{ secrets.GOOGLE_DRIVE_CREDENTIALS }}
+        GOOGLE_DRIVE_FOLDER_ID: ${{ secrets.GOOGLE_DRIVE_FOLDER_ID }}
+        GOOGLE_CLOUD_NLP_CREDENTIALS: ${{ secrets.GOOGLE_CLOUD_NLP_CREDENTIALS }}
+        GOOGLE_CLOUD_NLP_MODEL_NAME:  ${{ secrets.GOOGLE_CLOUD_NLP_MODEL_NAME }}
       with:
-        args: container:push -a calpoly-csai-nimbus web
+        args: container:push -a calpoly-csai-nimbus web --arg DATABASE_HOSTNAME,DATABASE_PASSWORD,DATABASE_USERNAME,DATABASE_NAME,PYDRIVE_CLIENT_ID,PYDRIVE_CLIENT_SECRET,GOOGLE_DRIVE_CREDENTIALS,GOOGLE_DRIVE_FOLDER_ID,GOOGLE_CLOUD_NLP_CREDENTIALS,GOOGLE_CLOUD_NLP_MODEL_NAME
 
     - name: heroku release
       uses: actions/heroku@master

From 38888c9d6cf7ea6532b165137093bc08b16b87fd Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Fri, 28 Feb 2020 10:20:49 -0800
Subject: [PATCH 100/272] updated model script

---
 nimbus-nlp/NIMBUS_NLP.py                      | 123 ----
 .../nlp-model_02_23_2020_14_52_48.pkl         | Bin
 .../nlp-model_02_23_2020_14_53_28.pkl         | Bin
 .../nlp-model_02_24_2020_23_37_02.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_39_24.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_45_29.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_57_43.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_59_57.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_00_38.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_01_30.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_03_40.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_20_30_27.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_20_32_32.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_21_08_26.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_24_13.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_33_03.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_34_28.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_42_43.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_50_04.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_51_10.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_53_51.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_56_20.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_28_2020_00_00_28.pkl         | Bin 0 -> 3588699 bytes
 .../nlp-model_02_28_2020_00_11_52.pkl         | Bin 0 -> 3579755 bytes
 .../models/features/overall_features.json     |   1 +
 nimbus-nlp/question_classifier.py             |  76 +--
 nimbus-nlp/question_set_clean.csv             | 529 ++++++++++++++++++
 nimbus-nlp/save_and_load_model.py             |   6 +-
 28 files changed, 575 insertions(+), 160 deletions(-)
 delete mode 100644 nimbus-nlp/NIMBUS_NLP.py
 rename nimbus-nlp/models/{ => classification}/nlp-model_02_23_2020_14_52_48.pkl (100%)
 rename nimbus-nlp/models/{ => classification}/nlp-model_02_23_2020_14_53_28.pkl (100%)
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl
 create mode 100644 nimbus-nlp/models/classification/nlp-model_02_28_2020_00_11_52.pkl
 create mode 100644 nimbus-nlp/models/features/overall_features.json
 create mode 100644 nimbus-nlp/question_set_clean.csv

diff --git a/nimbus-nlp/NIMBUS_NLP.py b/nimbus-nlp/NIMBUS_NLP.py
deleted file mode 100644
index 17dc030..0000000
--- a/nimbus-nlp/NIMBUS_NLP.py
+++ /dev/null
@@ -1,123 +0,0 @@
-import nltk
-import numpy as np
-import os
-import pandas as pd
-import re
-import sklearn.neighbors
-import spacy
-import sys
-
-from google.api_core.client_options import ClientOptions
-from google.cloud import automl_v1
-from google.cloud.automl_v1.proto import service_pb2
-
-# Temporary import for the classifier
-from question_classifier import QuestionClassifier
-
-class NIMBUS_NLP:
-
-    @staticmethod
-    def predict_question(input_question):
-        '''
-        Runs through variable extraction and the question classifier to
-        predict the intended question.
-
-        Args: input_question (string) - user input question to answer
-
-        Return: return_tuple (tuple) - contains the user's input question,
-                                       the variable extracted input question,
-                                       the entity extracted, and the predicted
-                                       answer
-
-        '''
-
-        variable_extraction = Variable_Extraction()
-        entity, normalized_sentence = variable_extraction.\
-                                        extract_variables(input_question)
-
-        classifier = TrainQuestionClassifier(save_model=False)
-        answer = classifier.classify_question(normalized_sentence)
-
-        return_tuple = (input_question, normalized_sentence,
-                        entity, answer)
-
-        return return_tuple
-
-
-class Variable_Extraction:
-    def __init__(self):
-        self.model_name = None # replace with the project model id
-        credential_path = None # replace with the path to the credential json
-        os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
-        self.entity = ""
-
-    def inline_text_payload(self, sent):
-        '''
-        Converts the input sentence into GCP's callable format
-
-        Args: sent (string) - input sentence
-
-        Return: (dict) - GCP NER input format
-
-        '''
-
-        return {'text_snippet': {'content': sent, 'mime_type': 'text/plain'} }
-
-    def get_prediction(self, sent):
-        '''
-        Obtains the prediction from the input sentence and returns the
-        normalized sentence
-
-        Args: sent (string) - input sentence
-
-        Return: request (PredictObject) - predictiton output
-        ''' 
-        
-        params = {}
-        
-        # Setup API 
-        options = ClientOptions(api_endpoint='automl.googleapis.com')
-        
-        # Create prediction object
-        predictor = automl_v1.PredictionServiceClient(client_options=options)
-
-        # Format input sentence
-        payload = self.inline_text_payload(sent)
-        
-        # Make prediction API call
-        request = predictor.predict(self.model_name, payload, params)
-
-        # Return the output of the API call
-        return request
-
-    def extract_variables(self, sent):
-        '''
-        Takes the prediction and replaces the entity with its corresponding tag
-
-        Args: sent (string) - input sentence
-
-        Return: (tuple) - (normalized sentence, entity) 
-
-        '''
-
-        # Make the prediction
-        request = self.get_prediction(sent)
-
-        # Obtain the entity in the sentence
-        self.entity = request.payload[0].text_extraction.text_segment.content 
-        
-        # Obtain the predicted tag 
-        tag = request.payload[0].display_name
-        
-        return sent.replace(self.entity, '[' + tag + ']'), self.entity
-
-
-#TODO: Add the Question_Classifier code directly into this file
-class Question_Classifier:
-    pass
-
-if __name__ == '__main__':
-    while True:
-        question = input("Enter a question: ")
-        answer = NIMBUS_NLP.predict_question(question)
-        print(answer)
diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14_52_48.pkl b/nimbus-nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
similarity index 100%
rename from nimbus-nlp/models/nlp-model_02_23_2020_14_52_48.pkl
rename to nimbus-nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
diff --git a/nimbus-nlp/models/nlp-model_02_23_2020_14_53_28.pkl b/nimbus-nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
similarity index 100%
rename from nimbus-nlp/models/nlp-model_02_23_2020_14_53_28.pkl
rename to nimbus-nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
diff --git a/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl b/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..8d12a937945d9052fe28fc298e24f4bcfb054db1
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl b/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl b/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl b/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl b/nimbus-nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl b/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl b/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl b/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl b/nimbus-nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
new file mode 100644
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl b/nimbus-nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl
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diff --git a/nimbus-nlp/models/features/overall_features.json b/nimbus-nlp/models/features/overall_features.json
new file mode 100644
index 0000000..45b5372
--- /dev/null
+++ b/nimbus-nlp/models/features/overall_features.json
@@ -0,0 +1 @@
+{"[COURSE]": 0, "is": 0, "what": 0, "are": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "have": 0, "prereq": 0, "major": 0, "avoid": 0, "section": 0, "time": 0, "next": 0, "quarter": 0, "offered": 0, "how": 0, "many": 0, "offer": 0, "count": 0, "unit": 0, "towards": 0, "when": 0, "typically": 0, "going": 0, "go": 0, "tutuoring": 0, "tutuor": 0, "Is": 0, "information": 0, "currently": 0, "4": 0, "class": 0, "prerequisite": 0, "term": 0, "consent": 0, "instructor": 0, "get": 0, "recommend": 0, "need": 0, "order": 0, "upper": 0, "divisional": 0, "c": 0, "good": 0, "short": 0, "path": 0, "stand": 0, "people": 0, "limit": 0, "total": 0, "credit": 0, "select": 0, "tech": 0, "elective": 0, "structure": 0, "crosslist": 0, "another": 0, "department": 0, "grade": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "include": 0, "group": 0, "work": 0, "project": 0, "base": 0, "build": 0, "similar": 0, 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"come": 0, "teaches": 0, "cs": 0, "se": 0, "basis": 0, "prerequesite": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "professor": 0, "corsslist": 0, "prerequisites": 0, "rat": 0, "polyrat": 0, "that": 0, "schedule": 0, "tutoring": 0, "provided": 0, "provide": 0, "[PROF]": 0, "like": 0, "research": 0, "area": 0, "PROF": 0, "proposal": 0, "write": 0, "cal": 0, "poly": 0, "website": 0, "where": 0, "building": 0, "student": 0, "office": 0, "right": 0, "later": 0, "today": 0, "tomorrow": 0, "email": 0, "average": 0, "polyrating": 0, "review": 0, "recent": 0, "professors": 0, "first": 0, "phone": 0, "rating": 0, "faculty": 0, "advisor": 0, "interest": 0, "interested": 0, "researching": 0, "liked": 0, "well": 0, "has": 0, "url": 0, "different": 0, "school": 0, "attended": 0, "attend": 0, "csse": 0, "program": 0, "long": 0, "start": 0, "was": 0, "working": 0, "still": 0, "been": 0, "Did": 0, "computer": 0, "publish": 0, "paper": 0, "submit": 0, "contributed": 0, "digital": 0, "common": 0, "Has": 0, "written": 0, "advised": 0, "senior": 0, "advise": 0, "whose": 0, "length": 0, "published": 0, "journal": 0, "papers": 0, "contact": 0, "reach": 0, "room": 0, "find": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "shares": 0, "share": 0, "anyone": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "position": 0, "member": 0, "moment": 0, "place": 0, "campus": 0, "professional": 0, "distinction": 0, "bs": 0, "master": 0, "doctorate": 0, "day": 0, "neighbor": 0, "be": 0, "recognize": 0, "difficulty": 0, "present": 0, "material": 0, "clearly": 0, "give": 0, "polylearn": 0, "[MMC]": 0, "mathematic": 0, "support": 0, "option": 0, "approve": 0, "technical": 0, "external": 0, "taking": 0, "gre": 0, "acceptance": 0, "1": 0, "availabe": 0, "satisfy": 0, "pre": 0, "requisite": 0, "obtain": 0, "blended": 0, "ms": 0, "concentration": 0, "life": 0, "optional": 0, "skip": 0, "ap": 0, "ib": 0, "adds": 0, "add": 0, "least": 0, "amount": 0, "graduation": 0, "general": 0, "education": 0, "break": 0, "double": 0, "enrolled": 0, "enrol": 0, "blend": 0, "inquiry": 0, "switch": 0, "minimum": 0, "contain": 0, "free": 0, "gpa": 0, "enroll": 0, "category": 0, "educational": 0, "objective": 0, "outcome": 0, "resource": 0, "advising": 0, "independent": 0, "step": 0, "apply": 0, "application": 0, "declare": 0, "question": 0, "doubt": 0, "would": 0, "sense": 0, "MMC": 0, "allowed": 0, "allow": 0, "accredits": 0, "accredit": 0, "units": 0, "[DEPT]": 0, "crosslisted": 0, "club": 0, "does": 0, "type": 0, "sign": 0, "tutor": 0, "accreditation": 0, "belong": 0, "college": 0, "[CLUB]": 0, "president": 0, "homepage": 0, "box": 0, "social": 0, "medium": 0, "account": 0, "follow": 0, "facebook": 0, "new": 0, "post": 0, "event": 0, "officer": 0, "meeting": 0, "locate": 0, "affiliated": 0, "affiliate": 0, "vice": 0, "secretary": 0, "treasurer": 0, "posted": 0, "30": 0, "joined": 0, "join": 0, "used": 0, "follower": 0, "instagram": 0, "establish": 0, "team": 0, "held": 0, "hold": 0, "link": 0, "do": 0, "location": 0, "online": 0, "describe": 0, "could": 0, "brief": 0, "overview": 0, "chief": 0, "touch": 0, "adviser": 0, "[SECRET_HIDEOUT]": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus-nlp/question_classifier.py b/nimbus-nlp/question_classifier.py
index 0259b53..8bc2b62 100644
--- a/nimbus-nlp/question_classifier.py
+++ b/nimbus-nlp/question_classifier.py
@@ -5,31 +5,37 @@
 import sklearn.neighbors
 import pandas as pd
 import sys
+import json
 from save_and_load_model import save_model, load_latest_model
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
 
 
-class TrainQuestionClassifier:
-    def __init__(self, question_data_file_name=None, save_model=False):
-        self.save_model = save_model
+class QuestionClassifier:
+    def __init__(self):
+        self.classifier = None
         self.nlp = spacy.load('en_core_web_sm')
-        if(question_data_file_name):
-            self.questions = pd.read_csv(question_data_file_name)
-        # The possible WH word tags returned through NLTK part of speech tagging
         self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
         self.overall_features = {}
-        self.classifier = None
-        if(save_model == True):
-            self.build_question_classifier()
-        else:
-            self.load_latest_classifier()
+
+    def train_model(self):
+        self.save_model = save_model
 
 
-    def load_latest_classifier(self):
-        self.classifier = load_latest_model()
+        # REPLACE WITH API EVENTUALLY
+        self.file_path = "question_set_clean.csv"
+
+        # The possible WH word tags returned through NLTK part of speech tagging
 
 
+        self.classifier = self.build_question_classifier()
+        save_model(self.classifier, "nlp-model")
+
+
+    def load_latest_classifier(self):
+        self.classifier = load_latest_model()
+        with open('models/features/overall_features.json', 'r') as fp:
+            self.overall_features = json.load(fp)
 
     def get_question_features(self, question):
         # print("using new algorithm")
@@ -57,7 +63,7 @@ def get_question_features(self, question):
 
         # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
         stemmed_main_verb = self.nlp(main_verb)[0]
-        features[stemmed_main_verb] = 60
+        features[stemmed_main_verb.text] = 60
 
         # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
         # WITH WEIGHT 60
@@ -142,6 +148,8 @@ def build_question_classifier(self):
                 if key not in self.overall_features:
                     self.overall_features[key] = 0
         self.overall_features["not related"] = 0
+
+
         vectors = []
         for feature in question_features:
             vector = dict.fromkeys(self.overall_features, 0)
@@ -152,10 +160,13 @@ def build_question_classifier(self):
         y_train = questions['questionFormat']
         vectors = np.array(vectors)
         y_train = np.array(y_train)
-        self.classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
-        self.classifier.fit(vectors, y_train)
-        if (self.save_model == True):
-            save_model(self.classifier, "nlp-model")
+        new_classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
+        new_classifier.fit(vectors, y_train)
+
+        with open('models/features/overall_features.json', 'w') as fp:
+            json.dump(self.overall_features, fp)
+
+        return new_classifier
 
     def filterWHTags(self, question):
         # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
@@ -212,23 +223,21 @@ def classify_question(self, test_question):
         if self.classifier is None:
             raise ValueError("Classifier not initialized")
 
-        if self.use_new:
-            test_features = self.get_question_features(test_question)
-        else:
-            test_features = self.get_question_features_old_algorithm(
-                test_question)
-
+        #if self.use_new:
+        test_features = self.get_question_features(test_question)
+        #else:
+        #    test_features = self.get_question_features_old_algorithm(
+        #        test_question)
         test_vector = dict.fromkeys(self.overall_features, 0)
         for key in test_features:
             if key in test_vector:
                 test_vector[key] = test_features[key]
-            else:
+            #else:
                 # IF A WORD IS NOT IN THE EXISTING FEATURE SET, IT MAY BE A QUESTION WE CANNOT ANSWER.
-                test_vector["not related"] += 250
+            #    test_vector["not related"] += 250
         test_vector = np.array(list(test_vector.values()))
-        test_vector = test_vector.reshape(1, len(test_vector))
-        min_dist = np.min(self.classifier.kneighbors(
-            test_vector, n_neighbors=1)[0])
+        test_vector = test_vector.reshape(1, -1)
+        min_dist = np.min(self.classifier.kneighbors(test_vector, n_neighbors=1)[0])
         if min_dist > 150:
             return "I don't think that's a Statistics related question! Try asking something about the STAT curriculum."
 
@@ -249,7 +258,7 @@ def main():
     # print(sys.argv)
     # if len(sys.argv) > 1 and sys.argv[1] == 'new':
     #     use_new = True
-    classifier = TrainQuestionClassifier(save_model=False)
+    classifier = QuestionClassifier()
     # print(classifier.get_question_features(
     #     "What are Foaad Khosmood's office hours?"))
     # print(classifier.get_question_features(
@@ -263,10 +272,9 @@ def main():
     # print(classifier.get_question_features("This is a normal sentence."))
     # print(classifier.get_question_features("[COURSE] is taught by who?"))
     # print(classifier.get_question_features("How do I register for classes?"))
-
-    while True:
-        test = input("Ask me a question: ")
-        print(classifier.classify_question(test))
+    #classifier.train_model()
+    classifier.load_latest_classifier()
+    print(classifier.classify_question("Which [PROF] teaches [COURSE]?"))
 
 
 if __name__ == "__main__":
diff --git a/nimbus-nlp/question_set_clean.csv b/nimbus-nlp/question_set_clean.csv
new file mode 100644
index 0000000..33a34c8
--- /dev/null
+++ b/nimbus-nlp/question_set_clean.csv
@@ -0,0 +1,529 @@
+questionFormat
+What is [COURSE] about?
+What are the prereqs for [COURSE]?
+Which courses are required to be taken before [COURSE]?
+What courses have [COURSE] as a prereq?
+Which majors require [COURSE]?
+Which majors avoid [COURSE]?
+What are the sections times for [COURSE] next quarter?
+What are the sections times for [COURSE] this quarter?
+How many sections of [COURSE] are being offered this quarter?
+How many sections of [COURSE] are being offered next quarter?
+How many units does [COURSE] count towards?
+When is [COURSE] typically offered?
+During what quarters is [COURSE] typically offered?
+Is [COURSE] going to be offered next quarter?
+Is tutuoring offered for [COURSE]
+Is there any information on [COURSE]?
+Is [COURSE] currently offered?
+Is [COURSE] a 4 unit class?
+Does [COURSE] have any prerequisites?
+What terms is [COURSE] typically offered?
+Which terms is [COURSE] offered?
+Does [COURSE] require consent of instructor?
+Can I get into [COURSE] with instructor's consent?
+What are the prerequisites for [COURSE]?
+What classes do I have to take before [COURSE]?
+What are the recommended prerequisites for [COURSE]?
+What classes do I need in order to take [COURSE]?
+Which classes have [COURSE] as a prerequisite?
+Does [COURSE] have an upper divisional prerequisite?
+Do I need a C- or better in [COURSE] to take any other classes?
+What is the shortest path to taking [COURSE]?
+Which classes require [COURSE] standing?
+Which classes do not require [COURSE] standing?
+When do most people take [COURSE]?
+Is [COURSE] limited in total credit?
+Can I select [COURSE] as a tech elective?
+What is the structure of [COURSE]?
+How many units is [COURSE]?
+Is [COURSE] crosslisted in another department?
+Is [COURSE] credit/no credit grading only?
+What topics are covered in [COURSE]?
+What is the course title for [COURSE]?
+What is [COURSE] also called?
+What is the name of [COURSE]?
+What is the course code for [COURSE]?
+Does [COURSE] include group work?
+Is [COURSE] project based?
+What class should I take after [COURSE]?
+What classes build off [COURSE]?
+Which classes are most similar to [COURSE]?
+What classes should I take with [COURSE]?
+How many units do I need to take to be considered a [COURSE]?
+Can I take [COURSE] credit no credit?
+Can I take [COURSE] pass-fail?
+Is [COURSE] a required course?
+Do I have to take [COURSE]?
+How many hours a week is [COURSE]?
+How much time is spent in [COURSE] per week?
+How many times is [COURSE] offered per year?
+In how many quarters is [COURSE] offered?
+When is [COURSE] offered?
+When is [COURSE] available?
+When can I take [COURSE]?
+Does [COURSE] fulfill more than one requirement?
+Can I use [COURSE] to fulfill more than one requirement?
+How many units does [COURSE] have?
+How many units does [COURSE] fulfill?
+What does [COURSE] fulfill?
+Does [COURSE] fulfill anything?
+What requirements does [COURSE] fulfill?
+How many lectures does [COURSE] have?
+How many times a week does [COURSE] week?
+How many lectures make up [COURSE]?
+Does [COURSE] have a lab?
+Do I have to take a lab with [COURSE]?
+How many labs does [COURSE] have?
+How many prerequisites does [COURSE] have?
+Are there any prerequisites for [COURSE]?
+What classes can I take instead of [COURSE]?
+What are alternatives to [COURSE]?
+Are there any alternatives for [COURSE]?
+How many alternative does [COURSE] Have?
+Can I take something else instead of [COURSE]?
+What courses substitute [COURSE]?
+What STAT courses have [COURSE] as a prereq?
+What courses do you need to take before taking [COURSE]?
+Does [COURSE] have any preqs?
+Is [COURSE] being offered this quarter?
+Can I take [COURSE] this quarter?
+Do I need to take [COURSE] to major in Statistics?
+Is [COURSE] necessary to get a stats degree?
+When's the next time I can take [COURSE]?
+Is [COURSE] being offered soon?
+Does [COURSE] help me get a stats minor?
+Does [COURSE] contribute to my stats minor?
+Has [COURSE] ever been offered by the stats department?
+When has [COURSE] been offered?
+What class is [COURSE]?
+What is the description of [COURSE]?
+What do you learn in [COURSE]?
+What term is [COURSE] typically offered?
+When is [COURSE] usually offered?
+Does [COURSE] fulfill any GE requirements?
+How many prerequisite classes are needed for me to take [COURSE]?
+List classes below [COURSE].
+List classes above [COURSE].
+Does [COURSE] require any MATH classes?
+Which classes have a [COURSE] prerequisite?
+Does [COURSE] require instructor approval?
+Is [COURSE] being offered next quarter?
+Is [COURSE] a graduate level course?
+Is [COURSE] a undergraduate level course?
+Does [COURSE] have non-statistics prerequisites?
+Does [COURSE] have non-statistics and non-math prerequisites?
+Is [COURSE] part of the data science minor?
+What teachers teach [COURSE] this quarter?
+What teachers have taught [COURSE] in the past?
+Does [COURSE] require programming experience?
+When should [COURSE] be taken based on the stat flowchart?
+Are there sections for [COURSE] that are open next quarter?
+Who is the highest ranked teacher teaching [COURSE]?
+Who is the lowest ranked teacher teaching [COURSE]?
+What data science minor courses have [COURSE] as a prerequisite?
+Do I need [COURSE] to complete the data science minor?
+Is [COURSE] an upper level or lower level course?
+When was the last time [COURSE] was offered?
+Is [COURSE] an upper level course?
+Is [COURSE] a lower level course?
+When should I take [COURSE]?
+What is [COURSE]?
+Does the department offer [COURSE].
+What will I learn in [COURSE]?
+Is there a class on [COURSE]?.
+Are there any workshops or study sessions available for [COURSE]?
+What courses are needed to take [COURSE]?
+How much credits is [COURSE] worth?
+What is the number for [COURSE]?
+What courses have [COURSE] as a prerequisite?
+What comes after [COURSE]?
+What is the description for [COURSE]?
+Who should I take [COURSE] with?
+Who typically teaches [COURSE]?
+Does [COURSE] have any non CS/SE prerequisites?
+Is [COURSE] offered on a Credit/No Credit basis?
+Is there a grade prerequesite for [COURSE]?
+Does [COURSE] have any corequisites?
+Does [COURSE] have any concurrent enrollements?
+How is [COURSE] listed?
+Who is the best professor for [COURSE] with?
+Which professors have taught [COURSE]?
+Which quarter is [COURSE] typically offered?
+Does [COURSE] have a prerequisite from another department?
+What course number does [COURSE] have?
+What course name does [COURSE] have?
+How many units of lab does [COURSE] have?
+Are there any recommended classes for [COURSE]?
+Is [COURSE] corsslisted?
+Which departments does [COURSE] have prerequisites in?
+On what level is [COURSE]?
+Which courses require [COURSE]
+Who is the best professor to take for [COURSE]?
+Who teaches [COURSE]?
+Who is usually the professor for [COURSE]?
+Who has taught [COURSE] in the past?
+What is the highest rated polyrating professor for [COURSE]?
+What is the highest rated polyrating professor that is currently teaching [COURSE]?
+What is the highest rated polyrating professor that taught [COURSE] last quarter?
+What is the highest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+What is the lowest rated polyrating professor for [COURSE]?
+What is the lowest rated polyrating professor that is currently teaching [COURSE]?
+What is the lowest rated polyrating professor that taught [COURSE] last quarter?
+What is the lowest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+How many professors teach [COURSE]?
+Which professors teach [COURSE]?
+What professor(s) typically teach [COURSE]?
+What professor(s) teach [COURSE] this quarter?
+Which professors are teaching [COURSE] next quarter?
+Who are the professors teaching [COURSE] next quarter?
+Can I get tutoring in [COURSE]?
+Is tutoring available for [COURSE]?
+Is tutoring provided for [COURSE]?
+"During Stat tutoring, can I get help with [COURSE]"
+What courses is [PROF] teaching this quarter?
+What courses is [PROF] teaching next quarter?
+What is [PROF] schedule like this quarter?
+What is [PROF] schedule like next quarter?
+How many courses is [PROF] teaching?
+What are [PROF]'s research areas?
+How many research areas does [PROF] have?
+How many proposals has [PROF] written at Cal Poly?
+Does [PROF] have a website?
+What is [PROF]'s website?
+Where can I learn more about [PROF]?
+Does [PROF] have a Cal Poly website?
+What classes does [PROF] teach?
+What buildings does [PROF] teach in?
+How many students does [PROF] currently teach between all their classes?
+What time are all [PROF]'s classes taught?
+What classes are [PROF] teaching next quarter?
+When are [PROF]'s office hours?
+Does [PROF] have office hours right now?
+Does [PROF] have office hours later today?
+Does [PROF] have office hours tomorrow?
+Where is [PROF]'s office?
+How many office hours does [PROF] have this week?
+What is [PROF]'s email?
+How can I email [PROF]?
+What is the email of [PROF]?
+Is [PROF]'s email listed?
+What is [PROF]'s average PolyRating?
+What classes does [PROF] have PolyRatings for?
+How many PolyRatings does [PROF] have?
+Is [PROF] reviewed on PolyRatings?
+Does [PROF] have a PolyRating?
+When is the most recent PolyRating for [PROF]?
+What level of professor is [PROF]?
+List all [PROF] level professors.
+Is [PROF] a professor at Cal Poly?
+What is professor [PROF]'s first name?
+Does [PROF] currently teach at Cal Poly?
+What is [PROF]'s phone number?
+What is the phone number for [PROF]?
+How many phone numbers are listed for [PROF]?
+Does [PROF] have a phone number listed?
+Is there a phone number listed for [PROF]?
+Which courses does [PROF] teach?
+What is [PROF]'s poly rating?
+Is [PROF] a faculty advisor?
+What are the research interests of [PROF]?
+What research areas are [PROF] interested in?
+What is [PROF] researching?
+What is the average polyrating of [PROF]?
+What is [PROF] rated on polyratings?
+How good of a professor is [PROF]?
+Is [PROF] a good professor?
+Is [PROF] well liked?
+Which of [PROF] has the highest polyrating?
+What is the URL for [PROF]'s polyratings?
+How many different classes will [PROF] teach next quarter?
+What courses has [PROF] taught?
+What courses does [PROF] teach?
+What is [PROF] teaching this quarter?
+Is [PROF] teaching any classes this quarter?
+Where is [PROF] teaching right now?
+Where will [PROF] be teaching next?
+Where did [PROF] go to school?
+What degrees does [PROF] have?
+What schools has [PROF] attended?
+Who are the [PROF] in the CSSE program at Cal Poly?
+What school did [PROF] get their degree from?
+How many degrees does [PROF] have?
+How long has [PROF] taught at Cal Poly?
+What year did [PROF] start at Cal Poly?
+When did [PROF] start teaching at Cal Poly?
+Did [PROF] study at Cal Poly?
+When was [PROF] a professor at Cal Poly?
+What is the highest degree of [PROF]?
+Where did [PROF] get their most recent degree?
+What is [PROF]'s highest degree?
+Is [PROF] still working at Cal Poly?
+Does [PROF] still teach at Cal Poly?
+Has there ever been a professor [PROF] in Cal Poly CSSE?
+Did [PROF] ever teach in the computer science department?
+What published research projects does [PROF] have?
+How many research papers has [PROF] submitted for Cal Poly?
+What papers has [PROF] contributed to the Cal Poly Digital Commons?
+Has [PROF] published any papers?
+What research papers has [PROF] written?
+What senior projects has [PROF] advised?
+How many senior projects has [PROF] advised?
+What senior projects did [PROF] advise last year?
+Whose senior projects has [PROF] advised?
+What is the average length of papers published by [PROF]?
+Where can I learn more about [PROF]'s research?
+In what journals has [PROF] been published?
+What journals has [PROF] published papers in?
+How can I contact [PROF]?
+What is [PROF]'s contact information?
+What number do I call to reach [PROF]?
+How can I reach [PROF]?
+In what room is [PROF]'s office?
+Where can I find [PROF]'s website?
+Does [PROF] have a personal website?
+What is [PROF]'s home page?
+What is the email address of [PROF]?
+What is the office of [PROF]?
+What are the names and emails of all computer science [PROF]?
+Who are the computer science [PROF]s at Cal Poly?
+Who shares an office with [PROF]?
+Does anyone share an office with [PROF]?
+What time are [PROF]'s office hours?
+When can I visit [PROF]'s office?
+Is [PROF] hosting office hours right now?
+Is [PROF] in their office now?
+What is the job title of [PROF]?
+Is [PROF] a lecturer or a professor?
+What is the position of [PROF]?
+What is [PROF]'s job at Cal Poly?
+"In the CSSE department, how many faculty members are [PROF]?"
+How many computer science [PROF] are there at Cal Poly?
+Who are the professors with the last name [PROF]?
+Where is [PROF] right now?
+"At the moment, where is [PROF]?"
+Where is [PROF] currently?
+Where is the next place I can find [PROF]?
+When can I next find [PROF] on campus?
+What are [PROF]'s personal interests?
+What are [PROF]'s professional distinctions?
+Where did [PROF] get their BS?
+Which school did [PROF] get their BS at?
+Which school did [PROF] get their Master's at?
+Where did [PROF] get their Master's?
+Where did [PROF] get their doctorate?
+Which school did [PROF] get their doctorate at?
+When did [PROF] get their BS?
+What year did [PROF] get their BS?
+When did [PROF] get their Master's?
+What year did [PROF] get their Master's?
+When did [PROF] get their doctorate?
+What year did [PROF] get their doctorate?
+What is [PROF]'s title?
+What is the title of [PROF]?
+What is the phone number of [PROF]?
+What building is [PROF]'s office in?
+What time does [PROF] have office hours today?
+What days does [PROF] have office hours?
+Which professors neighbor [PROF]?
+How many professors neighbor [PROF]?
+When will [PROF] be at his/her office?
+Is [PROF] at their office right now?
+How many classes is [PROF] teaching this quarter?
+How many classes is [PROF] teaching next quarter?
+How many polyratings does [PROF] have?
+Does [PROF] recognize student difficulties?
+How well does [PROF] recognize student difficulties?
+Does [PROF] present material clearly?
+How clearly does [PROF] present material?
+What grades has [PROF] given out (on polylearn)?
+What is the average polyratings grade for [PROF]?
+What professional distinctions does [PROF] have?
+Does [PROF] have any areas of research?
+What are the Mathematics/Statistics Support Elective options for [MMC]
+What are the approved technical electives for [MMC]
+Which courses will count as approved external electives for [MMC]
+Is taking the GRE required for acceptance into the 4+1 program for [MMC]?
+What classes are availabe to satisfy the pre-requisite technical elective course for [MMC]?
+Which courses will count as approved pre-requisite technical electives for [MMC]
+What [MMC] electives are offered next quarter?
+What are the electives being offered for [MMC] next quarter?
+Which electives are offered for [MMC] for next quarter?
+What courses are required for the [MMC] minor?
+Which courses do I need to take for the [MMC] minor?
+How many units are required to obtain the 4+1 blended BS/MS degree for [MMC]?
+What courses are required for the [MMC] concentration?
+Which courses do I need to take for the [MMC] concentration?
+What are the life science support elective options for [MMC]
+What are the support course options for [MMC]?
+Which courses are part of the [MMC]?
+Which courses are optional for [MMC]?
+Which courses in [MMC] can I skip through AP Credit?
+Which courses in [MMC] can I skip through IB Credit?
+Which minor or concentration adds the least amount of graduation time to the [MMC]?
+How many general education courses do I need to take for the [MMC] major?
+How many support courses do I need to take for the [MMC] major?
+What is the units break down for [MMC] major?
+How many GE units do I need for the [MMC] major?
+How many support units do I need for the [MMC] major?
+How many units do I need for the [MMC] major?
+"In order to complete the [MMC] major, how many units will I need?"
+How many units do I need for the [MMC] minor?
+How many units does the [MMC] require?
+How many classes per quarter do I have to take for [MMC]?
+How many concentrations are there in [MMC]?
+How many courses are required for [MMC]?
+Can I double major with [MMC]?
+What are the degree requirements for [MMC]?
+How many students are enrolled in [MMC]?
+Is there a BS/MS blend with [MMC]?
+How many units are required for [MMC]?
+Does an inquiry need to be submitted to switch into [MMC]
+What are the minimum requirements to switch into [MMC]
+Does [MMC] contain any free electives?
+What courses are needed to obtain [MMC]
+Is there a GPA requirement to enroll in [MMC]
+How many tech electives are required for [MMC]?
+What are the general education categories required for [MMC] majors?
+Are there any [MMC] classes that can be taken by credit/no credit?
+Can any technical electives for [MMC] be taken by credit/no credit?
+How many GEs do I have to take in [MMC]?
+How many general educations do I have to take in [MMC]?
+How many general education classes do I have to take in [MMC]?
+How many units of electives do I need for [MMC]?
+What is the total number of units of electives needed to graduate in [MMC]?
+How many approved electives do I have to take for the [MMC]?
+What are the approved electives I can take for a [MMC]?
+What are the program educational objectives for the [MMC]?
+What are the learning outcomes of [MMC]?
+What are the learning outcomes for [MMC]?
+What are the [MMC] courses?
+What are the courses required for [MMC]?
+How many courses do we have in [MMC]?
+What are some [MMC] resources that are available?
+What resources are there for [MMC]?
+Where can I get advising for a [MMC]?
+What are the course numbers that are considered independent study in [MMC]?
+How many units do I need for a [MMC]?
+What are the steps to apply for the [MMC]?
+How do I apply for a [MMC]?
+What are the required courses for the [MMC]?
+What are the prerequisites for the [MMC]?
+Where can I get the application for the [MMC]?
+Where can I get the flowchart for the [MMC]?
+What courses should I take each quarter for the [MMC]?
+How many classes do I have to take for [MMC]?
+What is the total number of classes needed to graduate in [MMC]?
+How do I declare [MMC] concentration?
+Who are the minor advisors for [MMC]?
+Who can I contact to get more information about the [MMC]?
+Who can I contact if I have questions about [MMC]?
+Who will help me if I have doubts about [MMC]?
+Where can I get the flowchart for [MMC]?
+What are the GE area required for [MMC]?
+What are the undergraduate courses for [MMC]?
+What are the graduate courses for [MMC]?
+How many GE areas have to be completed for [MMC]?
+What minor would make more sense with [MMC]
+"At best, how long last [MMC]?"
+How many years are necessary to graduate from [MMC]?
+What are the tech electives for [MMC]?
+What courses are electives for [MMC]?
+What electives can I take to get a [MMC]?
+What courses are credit not allowed for [MMC]?
+What are the program objectives of [MMC]?
+How many people are in the classes for [MMC]?
+Who accredits the [MMC]?
+What are the prerequisites for [MMC]?
+Is there a [MMC] Minor?
+What is the [MMC] Minor?
+Is [MMC] a part of another department?
+Who is the advisor for [MMC]?
+How many units to get a Minor in [MMC]?
+How many prerequisites are there for [MMC]?
+How many students take [MMC]?
+Will [MMC] help me get a job?
+How many classes would I have to take to get a Minor in [MMC]?
+How do I learn more about [MMC]?
+Which classes are crosslisted in [DEPT]?
+What [DEPT] courses are required?
+What classes are required from [DEPT]?
+How many [DEPT] courses are required?
+How many courses from [DEPT] are required?
+How many classes of [DEPT] do I have to complete?
+What clubs does the [DEPT] department offer?
+How many clubs are in the [DEPT] department?
+What types of clubs does the [DEPT] department offer?
+How do you sign up to be a [DEPT] tutor?
+What accreditations does [DEPT] have?
+What college does [DEPT] belong to?
+What positions are available in [DEPT]?
+Can I get a job at Cal Poly in [DEPT]?
+Who is the advisor of the [CLUB] club?
+What is the email of the President of the [CLUB] club?
+What type of club is the [CLUB] club?
+What is the email for the advisor of the [CLUB] club?
+What is the [CLUB] club?
+What is the homepage of the [CLUB] club?
+What is the box number of the [CLUB] club?
+What is the email for the [CLUB] club?
+What are the social media accounts for the [CLUB] club?
+How many people follow the [CLUB] club's Facebook page?
+Are there any new posts on the [CLUB] club's Facebook page?
+What is the next event for [CLUB]?
+When is the next event for [CLUB]?
+Who are the officers for [CLUB] club?
+When are the meetings for [CLUB] club?
+When is the next meeting for [CLUB] club?
+Where is [CLUB] located?
+Does [CLUB] have their own room?
+What college is affiliated with the [CLUB] club?
+What are some past events of the [CLUB] club?
+What was the last event of the [CLUB] club?
+When was the last event of [CLUB] club?
+Who is the president of the [CLUB] club?
+Who is the vice president of the [CLUB] club?
+Who is the secretary of the [CLUB] club?
+Who is the treasurer of the [CLUB] club?
+How can I contact [CLUB]?
+What is the phone number of the President of the [CLUB] club?
+What is the phone number of the Advisor of the [CLUB] club?
+How many people posted on the [CLUB] club's Facebook page in the past 30 days?
+How many people joined the [CLUB] club's Facebook page in the past 30 days?
+What resources are used by the [CLUB] club?
+How many followers does the [CLUB] club's Instagram account have?
+How many accounts does the [CLUB]'s Instagram follow?
+When was the [CLUB] established?
+Does the [CLUB] have an office?
+Where is the office of the [CLUB]?
+How many officers does the [CLUB] have?
+How many teams does the [CLUB] have?
+Where will the next event of the [CLUB] be held?
+When will the next event of the [CLUB] be held?
+How many events does the [CLUB] have next week?
+What is the next event of the [CLUB]?
+What is the website link for [CLUB]?
+Is there a website for [CLUB]?
+How do I learn more about [CLUB]?
+What does [CLUB] do?
+Who should I contact for [CLUB]?
+Is there a contact for [CLUB]?
+What is the location of [CLUB]?
+Where is [CLUB]?
+Where can I visit [CLUB] online?
+What is the URL for [CLUB]?
+Can you describe the [CLUB]?
+Could you give me a brief overview of [CLUB]?
+Who is the chief contact for [CLUB]?
+Who should I get in touch with for [CLUB]?
+What is the general contact information for [CLUB]?
+Who is the club adviser for [CLUB]?
+What teachers teach a class in [SECRET_HIDEOUT]?
+Which classes are taught in [SECRET_HIDEOUT]?
+Do any teachers have office hours in [SECRET_HIDEOUT]?
+What professors have offices in [SECRET_HIDEOUT]?
+Which professors have office hours in [SECRET_HIDEOUT]?
+Who are the professors with office hours in [SECRET_HIDEOUT]?
+Whose office is in [SECRET_HIDEOUT]?
+Which professors have offices in building [SECRET_HIDEOUT]?
+How many professors have offices in building [SECRET_HIDEOUT]?
diff --git a/nimbus-nlp/save_and_load_model.py b/nimbus-nlp/save_and_load_model.py
index f4e2918..37c493a 100644
--- a/nimbus-nlp/save_and_load_model.py
+++ b/nimbus-nlp/save_and_load_model.py
@@ -17,7 +17,7 @@
 
 
 def save_model(model, model_name):
-    save_path = PROJECT_DIR + '/models/' + model_name + date_time + '.pkl'
+    save_path = PROJECT_DIR + '/models/classification/' + model_name + date_time + '.pkl'
     f = open(save_path, 'wb')
     pickle.dump(model, f)
     f.close()
@@ -25,11 +25,11 @@ def save_model(model, model_name):
 
 
 def load_model(model_name):
-    train_path = PROJECT_DIR + '/models/' + model_name + '.joblib'
+    train_path = PROJECT_DIR + '/models/classification/' + model_name + '.joblib'
     return joblib.load(train_path)
 
 def load_latest_model():
-    train_path = PROJECT_DIR + '/models/'
+    train_path = PROJECT_DIR + '/models/classification/'
     onlyfiles = [f for f in listdir(train_path) if isfile(join(train_path, f))]
     r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+_[\d]+_[\d]+)', f)[0], '%m_%d_%Y_%H_%M_%S')) for f in onlyfiles]
     r = sorted(r, key=lambda x: x[1])

From 5ec1d9bb05838baecf53c5f6e3400db3a796b346 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 12:09:35 -0800
Subject: [PATCH 101/272] Update requirements.txt

---
 requirements.txt | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/requirements.txt b/requirements.txt
index f90e5da..1aa9302 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,7 @@
+appdirs==1.4.3
 astroid==2.3.3
 attrs==19.3.0
+black==19.10b0
 cachetools==4.0.0
 Click==7.0
 dataclasses==0.7
@@ -14,6 +16,7 @@ gunicorn==20.0.4
 httplib2==0.16.0
 hypothesis==5.3.1
 importlib-metadata==1.4.0
+invoke==1.4.1
 isort==4.3.21
 itsdangerous==1.1.0
 Jinja2==2.10.3
@@ -27,6 +30,7 @@ mypy-extensions==0.4.3
 mysql-connector-python==8.0.18
 oauth2client==4.1.3
 packaging==20.1
+pathspec==0.7.0
 pluggy==0.13.1
 protobuf==3.10.0
 psutil==5.6.7
@@ -43,10 +47,12 @@ pyre-extensions==0.0.16
 pytest==5.3.4
 pywatchman==1.4.1
 PyYAML==5.3
+regex==2020.2.20
 rsa==4.0
 six==1.13.0
 sortedcontainers==2.1.0
 SQLAlchemy==1.3.13
+toml==0.10.0
 typed-ast==1.4.0
 typing-extensions==3.7.4.1
 typing-inspect==0.5.0

From 080bdb5fa821a379d4fc807affd62802b22ad7dd Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 12:09:46 -0800
Subject: [PATCH 102/272] Update .gitignore

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index f1d0562..1e4059d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -115,3 +115,4 @@ config.json
 credentials.json
 folder_id.txt
 settings.yaml
+.export_env_vars

From 734779a10a3fe8b744d5faddb11ccae9ac8248a8 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 12:10:49 -0800
Subject: [PATCH 103/272] create yaml utilities

---
 utilities/__init__.py   |  0
 utilities/yaml_utils.py | 39 +++++++++++++++++++++++++++++++++++++++
 2 files changed, 39 insertions(+)
 create mode 100644 utilities/__init__.py
 create mode 100644 utilities/yaml_utils.py

diff --git a/utilities/__init__.py b/utilities/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/utilities/yaml_utils.py b/utilities/yaml_utils.py
new file mode 100644
index 0000000..a23b595
--- /dev/null
+++ b/utilities/yaml_utils.py
@@ -0,0 +1,39 @@
+import yaml
+
+
+def load_yaml(filename: str) -> dict:
+    """
+    Returns the dictionary representation of a given yaml filename
+
+    Args:
+        filename: a "filename.yml" string
+
+    Returns:
+        dictionary that represents the yaml file
+
+    Raises:
+        yaml.YAMLError : if something bad happened
+    """
+    with open(filename, "r") as f:
+        try:
+            return yaml.safe_load(f)
+        except yaml.YAMLError as e:
+            raise e
+
+
+def dump_yaml(data: dict, filename: str) -> None:
+    """
+    Saves the given data into the given yaml filename
+
+    Args:
+        filename: a "filename.yml" string
+        data; yaml data
+
+    Raises:
+        yaml.YAMLError : if something bad happened
+    """
+    with open(filename, "w") as f:
+        try:
+            return yaml.safe_dump(data, f)
+        except yaml.YAMLError as e:
+            raise e

From dff98fb5f1e42cfca80cf35622e66ead0b0ae179 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 12:11:08 -0800
Subject: [PATCH 104/272] Create settings.yml_SAMPLE

---
 settings.yml_SAMPLE | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)
 create mode 100644 settings.yml_SAMPLE

diff --git a/settings.yml_SAMPLE b/settings.yml_SAMPLE
new file mode 100644
index 0000000..517d0e8
--- /dev/null
+++ b/settings.yml_SAMPLE
@@ -0,0 +1,20 @@
+# This file allows authentication with Google Drive for the nimbus API
+# This enables uploading files to our Google Drive folder.
+# DO NOT upload this file (or credentials.json) (if containing real secrets) to github or any other public directory!
+client_config_backend: settings
+client_config:
+  client_id: SECRET
+  client_secret: SECRET
+
+save_credentials: True
+save_credentials_backend: file
+save_credentials_file: credentials.json
+
+get_refresh_token: True
+
+oauth_scope:
+  - https://www.googleapis.com/auth/drive.file
+  - https://www.googleapis.com/auth/drive.install
+  - https://www.googleapis.com/auth/drive
+  - https://www.googleapis.com/auth/drive.metadata
+

From 47a0f1f3ffcbac4f155f8f025625affb6504168a Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 12:12:05 -0800
Subject: [PATCH 105/272] automate local commands with invoke

e.g:

invoke docker
invoke docker_shell
---
 Makefile |  10 +++
 tasks.py | 256 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 266 insertions(+)
 create mode 100644 Makefile
 create mode 100644 tasks.py

diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..affbcbc
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,10 @@
+all:
+	#
+	# let's `make` life easier xD
+	# 
+	pip install invoke
+	invoke list
+
+
+docker:
+	invoke docker
diff --git a/tasks.py b/tasks.py
new file mode 100644
index 0000000..4a9c90e
--- /dev/null
+++ b/tasks.py
@@ -0,0 +1,256 @@
+"""
+Source: https://gist.github.com/mfekadu/ceaa65dd158bd45dcfadbbda17b83b03
+"""
+from invoke import task
+import os
+import webbrowser
+
+try:
+    from StringIO import StringIO  ## for Python 2
+except ImportError:
+    from io import StringIO  ## for Python 3
+
+
+"""
+HELPERS
+"""
+
+
+def go_to_website(URL, verbose=True):
+    """
+    given a URL, opens the browser
+    """
+    print("Opening...", URL) if verbose else None
+    webbrowser.open(URL)
+
+
+"""
+TASKS
+"""
+
+
+@task(aliases=("list", "lsit", "ist", "-list", "lis", "li", "slit", "slist"))
+def _dash_dash_list(c):
+    """
+    because i forget --list often and fixz my ttypos
+    """
+    try:  # because pyinvoke issue #704
+        c.run("invoke --list", hide="err")
+    except Exception as e:
+        print("uh oh, https://github.com/pyinvoke/invoke/issues/704")
+        print("but here, try this...\n")
+        cmd = 'cat tasks.py | grep def | grep "(\c"'  # \c avoid self-reference
+        print(f"$ {cmd}\n")
+        c.run(cmd)
+
+
+@task(aliases=("gh", "repo", "remote", "origin"))
+def github(c, username="calpoly-csai", repo="api"):
+    """
+    opens the GitHub website for this project in default browser
+    """
+    # optionally just hard code this
+    # TODO: look into how to read the .git/ folder to redirect based on that.
+    SITE = f"https://github.com/{username}/{repo}"
+    go_to_website(SITE)
+
+
+@task(aliases=("gsit", "gst", "sgit", "gis", "gsi", "giat", "gisr", "gsot", "gost"))
+def gist(
+    c, edit=False, username="mfekadu", gist_hash="ceaa65dd158bd45dcfadbbda17b83b03"
+):
+    """
+    opens the gist.GitHub.com website for this task.py source code
+    """
+    SITE = f"https://gist.github.com/{username}/{gist_hash}"
+    SITE = f"{SITE}/edit" if edit else SITE
+    go_to_website(SITE)
+
+
+@task(aliases=("ghd", "desktop"))
+def github_desktop(c):
+    """
+    opens the GitHub Desktop app <yes i am *that* lazy>. macOS only.
+    """
+    c.run("open -a 'GitHub Desktop'")
+
+
+@task(aliases=("invoke", "wtf", "huh", "what", "umm", "uhh", "idk"))
+def go_to_invoke_docs(c):
+    """
+    opens the docs for the PyInvoke project in default browser
+    """
+    SITE = "https://www.pyinvoke.org"
+    go_to_website(SITE)
+
+
+@task(help={"name": "Name of the person to say hi to."})
+def hi(c, name, help=False):
+    """
+    Say hi to someone.
+    """
+    print("Hi {}!".format(name))
+
+
+@task(aliases=("format", "black", "lint"))
+def black_auto_format(c, verbose=True):
+    """
+    Make the code look nice.
+    """
+    print("Formatting!")
+    cwd = os.getcwd()
+
+    # move up to the directory that contains ".git"
+    # which often is the root of a repository
+    print("current directory: ", cwd)
+    while cwd != "/" and ".git" not in os.listdir(cwd):
+        if ".git" not in os.listdir(cwd):
+            os.chdir("..")
+            cwd = os.getcwd()
+            print("current directory: ", cwd)
+        else:
+            break
+
+    cmd = "black ."
+    print("running command: {}".format(cmd))
+    c.run("black .")
+
+
+@task(aliases=("sc", "scala", "hi-scala", "hiscala", "helloscala"))
+def hello_scala(c, verbose=True, name="hello_scala"):
+    """
+    create a hello_world scala file
+    """
+    filename = f"{name}.sc"
+    print(f"Creating {filename}")
+    file_content = """import scala.io._
+object HelloApp {
+    def main(args: Array[String]): Unit = {
+        val coder = "Python"
+        val num = 21
+        println(s"Hello Scala from ${coder}!");
+        println(s"${num + num} is a cool num");
+    }
+}
+"""
+    with open(filename, "w") as f:
+        f.write(file_content)
+
+    cmd = f"cat {filename}"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+    cmd = f"scala {filename}"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+
+@task(aliases=("copy", "pbcopy"))
+def copy_tasks_py_to_clipboard(c):
+    """
+    """
+    cmd = "cat tasks.py | pbcopy"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+
+@task(aliases=("ssh",))
+def copy_ssh(c):
+    """
+    """
+    # https://askubuntu.com/a/811236
+    cmd = "ls -p ~/.ssh/ | grep -v /"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+    choice = input("\n\nWhich one? (enter the name): ")
+    print("\n\n")
+
+    cmd = f"cat ~/.ssh/{choice} | pbcopy"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+
+@task
+def docker(c, username=None, app_name="nimbus"):
+    """
+    Locally, docker build && docker run
+    """
+    ENV_KEY = "TASKS_DOCKER_USERNAME"
+    if username is not None:
+        print("hey run this to make life easier...")
+        print(f"export {ENV_KEY}={username}")
+    else:
+        try:
+            username = os.environ[ENV_KEY]
+        except Exception as e:
+            username = input("docker username? ")
+            print("hey run this to make life easier...")
+            print(f"export {ENV_KEY}={username}")
+
+    print("make first sure to run...")
+    print("source .export_env_vars")
+    print("\n\n")
+
+    try:
+        DATABASE_HOSTNAME = os.environ["DATABASE_HOSTNAME"]
+        DATABASE_PASSWORD = os.environ["DATABASE_PASSWORD"]
+        DATABASE_USERNAME = os.environ["DATABASE_USERNAME"]
+        DATABASE_NAME = os.environ["DATABASE_NAME"]
+        PYDRIVE_CLIENT_ID = os.environ["PYDRIVE_CLIENT_ID"]
+        PYDRIVE_CLIENT_SECRET = os.environ["PYDRIVE_CLIENT_SECRET"]
+        GOOGLE_DRIVE_CREDENTIALS = os.environ["GOOGLE_DRIVE_CREDENTIALS"]
+        GOOGLE_DRIVE_FOLDER_ID = os.environ["GOOGLE_DRIVE_FOLDER_ID"]
+        GOOGLE_CLOUD_NLP_CREDENTIALS = os.environ["GOOGLE_CLOUD_NLP_CREDENTIALS"]
+        GOOGLE_CLOUD_NLP_MODEL_NAME = os.environ["GOOGLE_CLOUD_NLP_MODEL_NAME"]
+    except Exception:
+        print("make first sure to run...")
+        print("source .export_env_vars")
+        print("\n\n")
+        exit()
+
+    # automatically pass in local environment variables into the docker thing
+    cmd = "docker build"
+    cmd += " --build-arg DATABASE_HOSTNAME"
+    cmd += " --build-arg DATABASE_PASSWORD"
+    cmd += " --build-arg DATABASE_USERNAME"
+    cmd += " --build-arg DATABASE_NAME"
+    cmd += " --build-arg PYDRIVE_CLIENT_ID"
+    cmd += " --build-arg PYDRIVE_CLIENT_SECRET"
+    cmd += " --build-arg GOOGLE_DRIVE_CREDENTIALS"
+    cmd += " --build-arg GOOGLE_DRIVE_FOLDER_ID"
+    cmd += " --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS"
+    cmd += " --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME"
+    cmd += f" -t {username}/{app_name} ."
+
+    print(f"$ {cmd}\n")
+    c.run(cmd)  # run the docker build
+
+    # http://www.pyinvoke.org/faq.html#running-local-shell-commands-run
+    cmd = f"docker run -it --rm -p 8080:8080  {username}/{app_name}"
+    print(f"$ {cmd}\n")
+    c.run(cmd, pty=True)  # run the docker run
+
+
+@task(aliases=("ds", "dash", "dsh"))
+def docker_shell(c, image_name=None):
+    """
+    Run docker within an interactive shell
+    https://stackoverflow.com/a/44769468
+    """
+    ENV_KEY = "TASKS_DOCKER_IMAGE_NAME"
+    if image_name is not None:
+        print("hey run this to make life easier...")
+        print(f"export {ENV_KEY}={image_name}")
+    else:
+        try:
+            image_name = os.environ[ENV_KEY]
+        except Exception as e:
+            image_name = input("docker image_name? ")
+            print("hey run this to make life easier...")
+            print(f"export {ENV_KEY}={image_name}")
+
+    cmd = f"docker run -it {image_name} sh"
+    print(f"$ {cmd}\n")
+    c.run(cmd, pty=True)  # run the docker interactive shell
+

From 7c239d5e27d8d5922b4711b1e975b558a0c34588 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 12:14:18 -0800
Subject: [PATCH 106/272] Dockerfile that auto-generates secret files

tested locally with

`invoke docker -u my_username`

I'm not sure if username is needed tbh.... but if you want to `docker push` then i think you must include your docker username
---
 Dockerfile                      |  63 +++++++++++++++--
 setup_special_files_from_env.py | 122 ++++++++++++++++++++++++++++++++
 2 files changed, 179 insertions(+), 6 deletions(-)
 create mode 100755 setup_special_files_from_env.py

diff --git a/Dockerfile b/Dockerfile
index d3f5a17..9911792 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,8 +1,59 @@
 FROM python:3.6-stretch
 RUN apt update
-WORKDIR /app
-ADD requirements.txt /app/requirements.txt
-RUN pip install -r /app/requirements.txt
-ADD . /app
-ENV PORT 8080
-CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]
+
+# put the requirements file into the container
+ADD requirements.txt /nimbus/requirements.txt
+
+# install the requirements in the container
+RUN pip install -r /nimbus/requirements.txt
+
+# put all the code into nimbus folder
+ADD . /nimbus
+
+
+# # https://devcenter.heroku.com/articles/container-registry-and-runtime#unsupported-dockerfile-commands
+# # Expose is NOT supported by Heroku
+# EXPOSE 8080
+
+# need to declare the --build-arg that gets passed in
+# for ENV to work properly
+ARG DATABASE_HOSTNAME
+ARG DATABASE_PASSWORD
+ARG DATABASE_USERNAME
+ARG DATABASE_NAME
+ARG PYDRIVE_CLIENT_ID
+ARG PYDRIVE_CLIENT_SECRET
+ARG GOOGLE_DRIVE_CREDENTIALS
+ARG GOOGLE_DRIVE_FOLDER_ID
+ARG GOOGLE_CLOUD_NLP_CREDENTIALS
+ARG GOOGLE_CLOUD_NLP_MODEL_NAME
+
+# env variables needed for the setup...py
+ENV DATABASE_HOSTNAME ${DATABASE_HOSTNAME}
+ENV DATABASE_PASSWORD ${DATABASE_PASSWORD}
+ENV DATABASE_USERNAME ${DATABASE_USERNAME}
+ENV DATABASE_NAME ${DATABASE_NAME}
+ENV PYDRIVE_CLIENT_ID ${PYDRIVE_CLIENT_ID}
+ENV PYDRIVE_CLIENT_SECRET ${PYDRIVE_CLIENT_SECRET}
+ENV GOOGLE_DRIVE_CREDENTIALS ${GOOGLE_DRIVE_CREDENTIALS}
+ENV GOOGLE_DRIVE_FOLDER_ID ${GOOGLE_DRIVE_FOLDER_ID}
+ENV GOOGLE_CLOUD_NLP_CREDENTIALS ${GOOGLE_CLOUD_NLP_CREDENTIALS}
+ENV GOOGLE_CLOUD_NLP_MODEL_NAME ${GOOGLE_CLOUD_NLP_MODEL_NAME}
+
+# need set WORKDIR for setup...py to save config.json to right place
+WORKDIR /nimbus
+
+# generate all the special configuration files
+RUN ./setup_special_files_from_env.py
+
+# just make sure the file is there
+RUN ls | grep config
+
+# need set WORKDIR for gunicorn
+WORKDIR /nimbus
+
+# https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
+# Heroku will set the PORT environment variable
+# the gunicorn_config.py will check the env vars for PORT
+# else it will do port=8080
+CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]
\ No newline at end of file
diff --git a/setup_special_files_from_env.py b/setup_special_files_from_env.py
new file mode 100755
index 0000000..a98d1b5
--- /dev/null
+++ b/setup_special_files_from_env.py
@@ -0,0 +1,122 @@
+#!/usr/bin/env python3
+from os import environ
+import json
+from utilities import yaml_utils  # noqa
+
+# NimbusDatabase stuff
+SAMPLE_CONFIG_FILE = "config.json_SAMPLE"
+CONFIG_FILE = "config.json"
+
+# PYDRIVE stuff
+SAMPLE_PYDRIVE_FILE = "settings.yml_SAMPLE"
+PYDRIVE_FILE = "settings.yml"
+PYDRIVE_FOLDER_ID_FILE = "folder_id.txt"
+GOOGLE_DRIVE_FOLDER_ID_FILE = "folder_id.txt"
+GOOGLE_DRIVE_FOLDER_ID_KEY = "GOOGLE_DRIVE_FOLDER_ID"
+PYDRIVE_CLIENT_ID_KEY = "PYDRIVE_CLIENT_ID"
+PYDRIVE_CLIENT_SECRET_KEY = "PYDRIVE_CLIENT_SECRET"
+GOOGLE_DRIVE_CREDENTIALS_FILE = "credentials.json"
+GOOGLE_DRIVE_CREDENTIALS_KEY = "GOOGLE_DRIVE_CREDENTIALS"
+
+# GOOGLE CLOUD stuff
+GOOGLE_CLOUD_NLP_CREDENTIALS_FILE = "auth.json"
+GOOGLE_CLOUD_NLP_CREDENTIALS_KEY = "GOOGLE_CLOUD_NLP_CREDENTIALS"
+
+BAD_CONFIG_MSG = "uh oh, config vars not set, check heroku settings"
+assert environ.get("DATABASE_HOSTNAME", None) is not None, BAD_CONFIG_MSG
+assert environ.get("DATABASE_PASSWORD", None) is not None, BAD_CONFIG_MSG
+assert environ.get("DATABASE_USERNAME", None) is not None, BAD_CONFIG_MSG
+assert environ.get("DATABASE_NAME", None) is not None, BAD_CONFIG_MSG
+assert environ.get("PYDRIVE_CLIENT_ID", None) is not None, BAD_CONFIG_MSG
+assert environ.get("PYDRIVE_CLIENT_SECRET", None) is not None, BAD_CONFIG_MSG
+# fmt: off
+assert environ.get("GOOGLE_DRIVE_CREDENTIALS", None) is not None, BAD_CONFIG_MSG  # noqa
+assert environ.get("GOOGLE_DRIVE_FOLDER_ID", None) is not None, BAD_CONFIG_MSG  # noqa
+assert environ.get("GOOGLE_CLOUD_NLP_CREDENTIALS", None) is not None, BAD_CONFIG_MSG  # noqa
+assert environ.get("GOOGLE_CLOUD_NLP_MODEL_NAME", None) is not None, BAD_CONFIG_MSG  # noqa
+# fmt: on
+
+BAD_CONFIG_MSG_2 = "uh oh, config var is empty string, check docker"
+assert environ.get("DATABASE_HOSTNAME", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("DATABASE_PASSWORD", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("DATABASE_USERNAME", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("DATABASE_NAME", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("PYDRIVE_CLIENT_ID", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("PYDRIVE_CLIENT_SECRET", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("GOOGLE_DRIVE_CREDENTIALS", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("GOOGLE_DRIVE_FOLDER_ID", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("GOOGLE_CLOUD_NLP_CREDENTIALS", None) != "", BAD_CONFIG_MSG_2  # noqa
+assert environ.get("GOOGLE_CLOUD_NLP_MODEL_NAME", None) != "", BAD_CONFIG_MSG_2
+
+
+# This dictionary should look exactly like the `SAMPLE_CONFIG_FILE`
+# it contains everything we could possibly neeed
+config = {
+    "PYDRIVE_CLIENT_ID": environ["PYDRIVE_CLIENT_ID"],
+    "PYDRIVE_CLIENT_SECRET": environ["PYDRIVE_CLIENT_SECRET"],
+    "GOOGLE_DRIVE_CREDENTIALS": environ["GOOGLE_DRIVE_CREDENTIALS"],
+    "GOOGLE_DRIVE_FOLDER_ID": environ["GOOGLE_DRIVE_FOLDER_ID"],
+    "GOOGLE_CLOUD_NLP_CREDENTIALS": environ["GOOGLE_CLOUD_NLP_CREDENTIALS"],
+    "GOOGLE_CLOUD_NLP_MODEL_NAME": environ["GOOGLE_CLOUD_NLP_MODEL_NAME"],
+    "mysql": {
+        "host": environ["DATABASE_HOSTNAME"],
+        # 3306 is the default port for mysql
+        "port": "3306",
+        "user": environ["DATABASE_USERNAME"],
+        "password": environ["DATABASE_PASSWORD"],
+        "database": environ["DATABASE_NAME"],
+        "sql_dir": "sql",
+        "create_file": "csai_nov_8_2019_create_script.min.sql",
+    },
+}
+
+
+# save the CONFIG_FILE
+with open(CONFIG_FILE, "w") as json_file:
+    json.dump(config, json_file)
+
+
+# TODO: consider ENV variable for pydrive's `save_credentials_file`
+#       in case the name changes due to conflict with other google credentials
+pydrive_yaml = {
+    "client_config_backend": "settings",
+    "client_config": {
+        "client_id": config[PYDRIVE_CLIENT_ID_KEY],
+        "client_secret": config[PYDRIVE_CLIENT_SECRET_KEY],
+    },
+    "save_credentials": True,
+    "save_credentials_backend": "file",
+    "save_credentials_file": "credentials.json",
+    "get_refresh_token": True,
+    "oauth_scope": [
+        "https://www.googleapis.com/auth/drive.file",
+        "https://www.googleapis.com/auth/drive.install",
+        "https://www.googleapis.com/auth/drive",
+        "https://www.googleapis.com/auth/drive.metadata",
+    ],
+}
+
+
+# save the PYDRIVE_FILE
+yaml_utils.dump_yaml(pydrive_yaml, PYDRIVE_FILE)
+
+
+# save the GOOGLE_DRIVE_FOLDER_ID_FILE
+with open(GOOGLE_DRIVE_FOLDER_ID_FILE, "w") as f:
+    f.write(config[GOOGLE_DRIVE_FOLDER_ID_KEY])
+
+
+# save the GOOGLE_DRIVE_CREDENTIALS_FILE
+with open(GOOGLE_DRIVE_CREDENTIALS_FILE, "w") as credentials_json_file:
+    # load the credentials_json from the config dict which has everything
+    credentials_json = json.loads(config[GOOGLE_DRIVE_CREDENTIALS_KEY])
+    # dump data to credentials_json_file
+    json.dump(credentials_json, credentials_json_file)
+
+
+# save the GOOGLE_CLOUD_NLP_CREDENTIALS_FILE
+with open(GOOGLE_CLOUD_NLP_CREDENTIALS_FILE, "w") as auth_json_file:
+    # load the auth_json from the config dict which has everything
+    auth_json = json.loads(config[GOOGLE_CLOUD_NLP_CREDENTIALS_KEY])
+    # dump data to auth_json_file
+    json.dump(auth_json, auth_json_file)

From cb95b3af01fb191c7f98111ca6f3db8e24aa27d4 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 13:09:48 -0800
Subject: [PATCH 107/272] Create test_new_data_courses_endpoint.py

---
 tests/test_new_data_courses_endpoint.py | 34 +++++++++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100644 tests/test_new_data_courses_endpoint.py

diff --git a/tests/test_new_data_courses_endpoint.py b/tests/test_new_data_courses_endpoint.py
new file mode 100644
index 0000000..c6c2c54
--- /dev/null
+++ b/tests/test_new_data_courses_endpoint.py
@@ -0,0 +1,34 @@
+import requests  # noqa
+import json
+
+BASE_URL = "http://0.0.0.0:8080"
+URL = f"{BASE_URL}/new_data/courses"
+
+
+def test_post_one_course():
+    data = {
+        "courses": [
+            {
+                "dept": "CPE",
+                "courseNum": "357",
+                "units": "4",
+                "termsOffered": "F,W,SP",
+                "courseName": "Systems Programming",
+                "raw_concurrent_text": "N/A",
+                "raw_recommended_text": "N/A",
+                "raw_prerequisites_text": "CSC/CPE,102,and,CSC/CPE,103",
+            }
+        ]
+    }
+
+    # aka 'request body' aka 'payload'
+    request_json = json.dumps(data)
+
+    headers = {"Content-Type": "application/json"}
+    print("request_json:\n\n", request_json, "\n")
+    response = requests.post(URL, data=request_json, headers=headers)
+
+    # assertions
+    assert response.ok is True
+    assert response.status_code == 200
+    assert response.text == "SUCCESS"

From 0f0661e4b87798f0592eddb31cae158390718c5d Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 13:15:33 -0800
Subject: [PATCH 108/272] noticed test failure  & fixed
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

➜  api git:(mf-patch-and-test) ✗ pytest
============================================= test session starts =============================================
platform darwin -- Python 3.6.8, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /Users/mfekadu/GitHub/api
plugins: pylint-0.15.0
collected 1 item

tests/test_new_data_courses_endpoint.py F                                                               [100%]

================================================== FAILURES ===================================================
____________________________________________ test_post_one_course _____________________________________________

    def test_post_one_course():
        data = {
            "courses": [
                {
                    "dept": "CPE",
                    "courseNum": 357,
                    "units": "4",
                    "termsOffered": "F,W,SP",
                    "courseName": "Systems Programming",
                    "raw_concurrent_text": "N/A",
                    "raw_recommended_text": "N/A",
                    "raw_prerequisites_text": "CSC/CPE,102,and,CSC/CPE,103",
                }
            ]
        }

        # aka 'request body' aka 'payload'
        request_json = json.dumps(data)

        headers = {"Content-Type": "application/json"}
        print("request_json:\n\n", request_json, "\n")
        response = requests.post(URL, data=request_json, headers=headers)

        # printouts
        print("response.ok", response.ok)
        print("response.status_code", response.status_code)
        print("response.text", response.text)

        # assertions
>       assert response.ok is True
E       assert False is True
E        +  where False = <Response [500]>.ok

tests/test_new_data_courses_endpoint.py:37: AssertionError
-------------------------------------------- Captured stdout call ---------------------------------------------
request_json:

 {"courses": [{"dept": "CPE", "courseNum": 357, "units": "4", "termsOffered": "F,W,SP", "courseName": "Systems Programming", "raw_concurrent_text": "N/A", "raw_recommended_text": "N/A", "raw_prerequisites_text": "CSC/CPE,102,and,CSC/CPE,103"}]}

response.ok False
response.status_code 500
response.text <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
  "http://www.w3.org/TR/html4/loose.dtd">
<html>
  <head>
    <title>TypeError: the JSON object must be str, bytes or bytearray, not 'dict' // Werkzeug Debugger</title>
    <link rel="stylesheet" href="?__debugger__=yes&amp;cmd=resource&amp;f=style.css"
        type="text/css">
    <!-- We need to make sure this has a favicon so that the debugger does
         not by accident trigger a request to /favicon.ico which might
         change the application state. -->
    <link rel="shortcut icon"
        href="?__debugger__=yes&amp;cmd=resource&amp;f=console.png">
    <script src="?__debugger__=yes&amp;cmd=resource&amp;f=jquery.js"></script>
    <script src="?__debugger__=yes&amp;cmd=resource&amp;f=debugger.js"></script>
    <script type="text/javascript">
      var TRACEBACK = 4529201616,
          CONSOLE_MODE = false,
          EVALEX = true,
          EVALEX_TRUSTED = false,
          SECRET = "Bh2NGSwFUQJA1fypQ5oQ";
    </script>
  </head>
  <body style="background-color: #fff">
    <div class="debugger">
<h1>TypeError</h1>
<div class="detail">
  <p class="errormsg">TypeError: the JSON object must be str, bytes or bytearray, not 'dict'</p>
</div>
<h2 class="traceback">Traceback <em>(most recent call last)</em></h2>
<div class="traceback">

  <ul><li><div class="frame" id="frame-4529201728">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">2463</em>,
      in <code class="function">__call__</code></h4>
  <div class="source library"><pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def __call__(self, environ, start_response):</pre>
<pre class="line before"><span class="ws">        </span>&quot;&quot;&quot;The WSGI server calls the Flask application object as the</pre>
<pre class="line before"><span class="ws">        </span>WSGI application. This calls :meth:`wsgi_app` which can be</pre>
<pre class="line before"><span class="ws">        </span>wrapped to applying middleware.&quot;&quot;&quot;</pre>
<pre class="line current"><span class="ws">        </span>return self.wsgi_app(environ, start_response)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def __repr__(self):</pre>
<pre class="line after"><span class="ws">        </span>return &quot;&lt;%s %r&gt;&quot; % (self.__class__.__name__, self.name)</pre></div>
</div>

<li><div class="frame" id="frame-4529202288">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">2449</em>,
      in <code class="function">wsgi_app</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>try:</pre>
<pre class="line before"><span class="ws">                </span>ctx.push()</pre>
<pre class="line before"><span class="ws">                </span>response = self.full_dispatch_request()</pre>
<pre class="line before"><span class="ws">            </span>except Exception as e:</pre>
<pre class="line before"><span class="ws">                </span>error = e</pre>
<pre class="line current"><span class="ws">                </span>response = self.handle_exception(e)</pre>
<pre class="line after"><span class="ws">            </span>except:  # noqa: B001</pre>
<pre class="line after"><span class="ws">                </span>error = sys.exc_info()[1]</pre>
<pre class="line after"><span class="ws">                </span>raise</pre>
<pre class="line after"><span class="ws">            </span>return response(environ, start_response)</pre>
<pre class="line after"><span class="ws">        </span>finally:</pre></div>
</div>

<li><div class="frame" id="frame-4529202344">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py"</cite>,
      line <em class="line">161</em>,
      in <code class="function">wrapped_function</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span># Wrap exception handlers with cross_origin</pre>
<pre class="line before"><span class="ws">        </span># These error handlers will still respect the behavior of the route</pre>
<pre class="line before"><span class="ws">        </span>if options.get('intercept_exceptions', True):</pre>
<pre class="line before"><span class="ws">            </span>def _after_request_decorator(f):</pre>
<pre class="line before"><span class="ws">                </span>def wrapped_function(*args, **kwargs):</pre>
<pre class="line current"><span class="ws">                    </span>return cors_after_request(app.make_response(f(*args, **kwargs)))</pre>
<pre class="line after"><span class="ws">                </span>return wrapped_function</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">            </span>if hasattr(app, 'handle_exception'):</pre>
<pre class="line after"><span class="ws">                </span>app.handle_exception = _after_request_decorator(</pre>
<pre class="line after"><span class="ws">                    </span>app.handle_exception)</pre></div>
</div>

<li><div class="frame" id="frame-4529202064">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1866</em>,
      in <code class="function">handle_exception</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span># if we want to repropagate the exception, we can attempt to</pre>
<pre class="line before"><span class="ws">            </span># raise it with the whole traceback in case we can do that</pre>
<pre class="line before"><span class="ws">            </span># (the function was actually called from the except part)</pre>
<pre class="line before"><span class="ws">            </span># otherwise, we just raise the error again</pre>
<pre class="line before"><span class="ws">            </span>if exc_value is e:</pre>
<pre class="line current"><span class="ws">                </span>reraise(exc_type, exc_value, tb)</pre>
<pre class="line after"><span class="ws">            </span>else:</pre>
<pre class="line after"><span class="ws">                </span>raise e</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">        </span>self.log_exception((exc_type, exc_value, tb))</pre>
<pre class="line after"><span class="ws">        </span>server_error = InternalServerError()</pre></div>
</div>

<li><div class="frame" id="frame-4529202456">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py"</cite>,
      line <em class="line">39</em>,
      in <code class="function">reraise</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">    </span>import collections.abc as collections_abc</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def reraise(tp, value, tb=None):</pre>
<pre class="line before"><span class="ws">        </span>if value.__traceback__ is not tb:</pre>
<pre class="line before"><span class="ws">            </span>raise value.with_traceback(tb)</pre>
<pre class="line current"><span class="ws">        </span>raise value</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>implements_to_string = _identity</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws"></span>else:</pre>
<pre class="line after"><span class="ws">    </span>iterkeys = lambda d: d.iterkeys()</pre></div>
</div>

<li><div class="frame" id="frame-4529202120">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">2446</em>,
      in <code class="function">wsgi_app</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span>ctx = self.request_context(environ)</pre>
<pre class="line before"><span class="ws">        </span>error = None</pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>try:</pre>
<pre class="line before"><span class="ws">                </span>ctx.push()</pre>
<pre class="line current"><span class="ws">                </span>response = self.full_dispatch_request()</pre>
<pre class="line after"><span class="ws">            </span>except Exception as e:</pre>
<pre class="line after"><span class="ws">                </span>error = e</pre>
<pre class="line after"><span class="ws">                </span>response = self.handle_exception(e)</pre>
<pre class="line after"><span class="ws">            </span>except:  # noqa: B001</pre>
<pre class="line after"><span class="ws">                </span>error = sys.exc_info()[1]</pre></div>
</div>

<li><div class="frame" id="frame-4529202568">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1951</em>,
      in <code class="function">full_dispatch_request</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>request_started.send(self)</pre>
<pre class="line before"><span class="ws">            </span>rv = self.preprocess_request()</pre>
<pre class="line before"><span class="ws">            </span>if rv is None:</pre>
<pre class="line before"><span class="ws">                </span>rv = self.dispatch_request()</pre>
<pre class="line before"><span class="ws">        </span>except Exception as e:</pre>
<pre class="line current"><span class="ws">            </span>rv = self.handle_user_exception(e)</pre>
<pre class="line after"><span class="ws">        </span>return self.finalize_request(rv)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def finalize_request(self, rv, from_error_handler=False):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Given the return value from a view function this finalizes</pre>
<pre class="line after"><span class="ws">        </span>the request by converting it into a response and invoking the</pre></div>
</div>

<li><div class="frame" id="frame-4529202624">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py"</cite>,
      line <em class="line">161</em>,
      in <code class="function">wrapped_function</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span># Wrap exception handlers with cross_origin</pre>
<pre class="line before"><span class="ws">        </span># These error handlers will still respect the behavior of the route</pre>
<pre class="line before"><span class="ws">        </span>if options.get('intercept_exceptions', True):</pre>
<pre class="line before"><span class="ws">            </span>def _after_request_decorator(f):</pre>
<pre class="line before"><span class="ws">                </span>def wrapped_function(*args, **kwargs):</pre>
<pre class="line current"><span class="ws">                    </span>return cors_after_request(app.make_response(f(*args, **kwargs)))</pre>
<pre class="line after"><span class="ws">                </span>return wrapped_function</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">            </span>if hasattr(app, 'handle_exception'):</pre>
<pre class="line after"><span class="ws">                </span>app.handle_exception = _after_request_decorator(</pre>
<pre class="line after"><span class="ws">                    </span>app.handle_exception)</pre></div>
</div>

<li><div class="frame" id="frame-4529202176">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1820</em>,
      in <code class="function">handle_user_exception</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>return self.handle_http_exception(e)</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>handler = self._find_error_handler(e)</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>if handler is None:</pre>
<pre class="line current"><span class="ws">            </span>reraise(exc_type, exc_value, tb)</pre>
<pre class="line after"><span class="ws">        </span>return handler(e)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def handle_exception(self, e):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Handle an exception that did not have an error handler</pre>
<pre class="line after"><span class="ws">        </span>associated with it, or that was raised from an error handler.</pre></div>
</div>

<li><div class="frame" id="frame-4529202736">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py"</cite>,
      line <em class="line">39</em>,
      in <code class="function">reraise</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">    </span>import collections.abc as collections_abc</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def reraise(tp, value, tb=None):</pre>
<pre class="line before"><span class="ws">        </span>if value.__traceback__ is not tb:</pre>
<pre class="line before"><span class="ws">            </span>raise value.with_traceback(tb)</pre>
<pre class="line current"><span class="ws">        </span>raise value</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>implements_to_string = _identity</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws"></span>else:</pre>
<pre class="line after"><span class="ws">    </span>iterkeys = lambda d: d.iterkeys()</pre></div>
</div>

<li><div class="frame" id="frame-4529202232">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1949</em>,
      in <code class="function">full_dispatch_request</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span>self.try_trigger_before_first_request_functions()</pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>request_started.send(self)</pre>
<pre class="line before"><span class="ws">            </span>rv = self.preprocess_request()</pre>
<pre class="line before"><span class="ws">            </span>if rv is None:</pre>
<pre class="line current"><span class="ws">                </span>rv = self.dispatch_request()</pre>
<pre class="line after"><span class="ws">        </span>except Exception as e:</pre>
<pre class="line after"><span class="ws">            </span>rv = self.handle_user_exception(e)</pre>
<pre class="line after"><span class="ws">        </span>return self.finalize_request(rv)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def finalize_request(self, rv, from_error_handler=False):</pre></div>
</div>

<li><div class="frame" id="frame-4529202848">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1935</em>,
      in <code class="function">dispatch_request</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>getattr(rule, &quot;provide_automatic_options&quot;, False)</pre>
<pre class="line before"><span class="ws">            </span>and req.method == &quot;OPTIONS&quot;</pre>
<pre class="line before"><span class="ws">        </span>):</pre>
<pre class="line before"><span class="ws">            </span>return self.make_default_options_response()</pre>
<pre class="line before"><span class="ws">        </span># otherwise dispatch to the handler for that endpoint</pre>
<pre class="line current"><span class="ws">        </span>return self.view_functions[rule.endpoint](**req.view_args)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def full_dispatch_request(self):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Dispatches the request and on top of that performs request</pre>
<pre class="line after"><span class="ws">        </span>pre and postprocessing as well as HTTP exception catching and</pre>
<pre class="line after"><span class="ws">        </span>error handling.</pre></div>
</div>

<li><div class="frame" id="frame-4529202904">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/flask_api.py"</cite>,
      line <em class="line">121</em>,
      in <code class="function">save_courses</code></h4>
  <div class="source "><pre class="line before"><span class="ws"></span>@app.route('/new_data/courses', methods=['POST'])</pre>
<pre class="line before"><span class="ws"></span>def save_courses():</pre>
<pre class="line before"><span class="ws">    </span>&quot;&quot;&quot;</pre>
<pre class="line before"><span class="ws">    </span>Persists list of courses</pre>
<pre class="line before"><span class="ws">    </span>&quot;&quot;&quot;</pre>
<pre class="line current"><span class="ws">    </span>data = json.loads(request.get_json())</pre>
<pre class="line after"><span class="ws">    </span>db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)</pre>
<pre class="line after"><span class="ws">    </span>for course in data['courses']:</pre>
<pre class="line after"><span class="ws">        </span>try:</pre>
<pre class="line after"><span class="ws">            </span>db.save_course(course)</pre>
<pre class="line after"><span class="ws">        </span>except BadDictionaryKeyError as e:</pre></div>
</div>

<li><div class="frame" id="frame-4529201952">
  <h4>File <cite class="filename">"/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/json/__init__.py"</cite>,
      line <em class="line">348</em>,
      in <code class="function">loads</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>raise JSONDecodeError(&quot;Unexpected UTF-8 BOM (decode using utf-8-sig)&quot;,</pre>
<pre class="line before"><span class="ws">                                  </span>s, 0)</pre>
<pre class="line before"><span class="ws">    </span>else:</pre>
<pre class="line before"><span class="ws">        </span>if not isinstance(s, (bytes, bytearray)):</pre>
<pre class="line before"><span class="ws">            </span>raise TypeError('the JSON object must be str, bytes or bytearray, '</pre>
<pre class="line current"><span class="ws">                            </span>'not {!r}'.format(s.__class__.__name__))</pre>
<pre class="line after"><span class="ws">        </span>s = s.decode(detect_encoding(s), 'surrogatepass')</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>if (cls is None and object_hook is None and</pre>
<pre class="line after"><span class="ws">            </span>parse_int is None and parse_float is None and</pre>
<pre class="line after"><span class="ws">            </span>parse_constant is None and object_pairs_hook is None and not kw):</pre></div>
</div>
</ul>
  <blockquote>TypeError: the JSON object must be str, bytes or bytearray, not 'dict'</blockquote>
</div>

<div class="plain">
  <form action="/?__debugger__=yes&amp;cmd=paste" method="post">
    <p>
      <input type="hidden" name="language" value="pytb">
      This is the Copy/Paste friendly version of the traceback.  <span
      class="pastemessage">You can also paste this traceback into
      a <a href="https://gist.github.com/">gist</a>:
      <input type="submit" value="create paste"></span>
    </p>
    <textarea cols="50" rows="10" name="code" readonly>Traceback (most recent call last):
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 2463, in __call__
    return self.wsgi_app(environ, start_response)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 2449, in wsgi_app
    response = self.handle_exception(e)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py&quot;, line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1866, in handle_exception
    reraise(exc_type, exc_value, tb)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py&quot;, line 39, in reraise
    raise value
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 2446, in wsgi_app
    response = self.full_dispatch_request()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1951, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py&quot;, line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1820, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py&quot;, line 39, in reraise
    raise value
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1949, in full_dispatch_request
    rv = self.dispatch_request()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1935, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File &quot;/Users/mfekadu/GitHub/api/flask_api.py&quot;, line 121, in save_courses
    data = json.loads(request.get_json())
  File &quot;/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/json/__init__.py&quot;, line 348, in loads
    'not {!r}'.format(s.__class__.__name__))
TypeError: the JSON object must be str, bytes or bytearray, not 'dict'</textarea>
  </form>
</div>
<div class="explanation">
  The debugger caught an exception in your WSGI application.  You can now
  look at the traceback which led to the error.  <span class="nojavascript">
  If you enable JavaScript you can also use additional features such as code
  execution (if the evalex feature is enabled), automatic pasting of the
  exceptions and much more.</span>
</div>
      <div class="footer">
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        friendly Werkzeug powered traceback interpreter.
      </div>
    </div>

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<!--

Traceback (most recent call last):
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 2463, in __call__
    return self.wsgi_app(environ, start_response)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 2449, in wsgi_app
    response = self.handle_exception(e)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py", line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1866, in handle_exception
    reraise(exc_type, exc_value, tb)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
    raise value
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 2446, in wsgi_app
    response = self.full_dispatch_request()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1951, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py", line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1820, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
    raise value
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1949, in full_dispatch_request
    rv = self.dispatch_request()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1935, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "/Users/mfekadu/GitHub/api/flask_api.py", line 121, in save_courses
    data = json.loads(request.get_json())
  File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/json/__init__.py", line 348, in loads
    'not {!r}'.format(s.__class__.__name__))
TypeError: the JSON object must be str, bytes or bytearray, not 'dict'

-->

============================================== 1 failed in 0.42s ==============================================
➜  api git:(mf-patch-and-test) ✗
---
 flask_api.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 9f9c6e0..19c0d86 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -118,7 +118,7 @@ def save_courses():
     """
     Persists list of courses
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for course in data['courses']:
         try:
@@ -143,7 +143,7 @@ def save_clubs():
     """
     Persists list of clubs
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for club in data['clubs']:
         try:
@@ -168,7 +168,7 @@ def save_locations():
     """
     Persists list of locations
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for location in data['locations']:
         try:
@@ -193,7 +193,7 @@ def save_calendars():
     """
     Persists list of calendars
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for calendar in data['calendars']:
         try:

From 9fda96904cb4625aaedc3d4b19087023120a10b5 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 13:15:54 -0800
Subject: [PATCH 109/272] still passing but now with printouts
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

➜  api git:(mf-patch-and-test) ✗ pytest
============================================= test session starts =============================================
platform darwin -- Python 3.6.8, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /Users/mfekadu/GitHub/api
plugins: pylint-0.15.0
collected 1 item

tests/test_new_data_courses_endpoint.py .                                                               [100%]

============================================== 1 passed in 2.74s ==============================================
➜  api git:(mf-patch-and-test) ✗
---
 tests/test_new_data_courses_endpoint.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/tests/test_new_data_courses_endpoint.py b/tests/test_new_data_courses_endpoint.py
index c6c2c54..0e64afc 100644
--- a/tests/test_new_data_courses_endpoint.py
+++ b/tests/test_new_data_courses_endpoint.py
@@ -10,7 +10,7 @@ def test_post_one_course():
         "courses": [
             {
                 "dept": "CPE",
-                "courseNum": "357",
+                "courseNum": 357,
                 "units": "4",
                 "termsOffered": "F,W,SP",
                 "courseName": "Systems Programming",
@@ -28,6 +28,11 @@ def test_post_one_course():
     print("request_json:\n\n", request_json, "\n")
     response = requests.post(URL, data=request_json, headers=headers)
 
+    # printouts
+    print("response.ok", response.ok)
+    print("response.status_code", response.status_code)
+    print("response.text", response.text)
+
     # assertions
     assert response.ok is True
     assert response.status_code == 200

From 9979137f7c512e3225e16a06b5cca5023a72aff3 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 13:21:36 -0800
Subject: [PATCH 110/272] Create test_new_data_clubs_endpoint.py
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

<li><div class="frame" id="frame-4592973864">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">2446</em>,
      in <code class="function">wsgi_app</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span>ctx = self.request_context(environ)</pre>
<pre class="line before"><span class="ws">        </span>error = None</pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>try:</pre>
<pre class="line before"><span class="ws">                </span>ctx.push()</pre>
<pre class="line current"><span class="ws">                </span>response = self.full_dispatch_request()</pre>
<pre class="line after"><span class="ws">            </span>except Exception as e:</pre>
<pre class="line after"><span class="ws">                </span>error = e</pre>
<pre class="line after"><span class="ws">                </span>response = self.handle_exception(e)</pre>
<pre class="line after"><span class="ws">            </span>except:  # noqa: B001</pre>
<pre class="line after"><span class="ws">                </span>error = sys.exc_info()[1]</pre></div>
</div>

<li><div class="frame" id="frame-4592974312">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1951</em>,
      in <code class="function">full_dispatch_request</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>request_started.send(self)</pre>
<pre class="line before"><span class="ws">            </span>rv = self.preprocess_request()</pre>
<pre class="line before"><span class="ws">            </span>if rv is None:</pre>
<pre class="line before"><span class="ws">                </span>rv = self.dispatch_request()</pre>
<pre class="line before"><span class="ws">        </span>except Exception as e:</pre>
<pre class="line current"><span class="ws">            </span>rv = self.handle_user_exception(e)</pre>
<pre class="line after"><span class="ws">        </span>return self.finalize_request(rv)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def finalize_request(self, rv, from_error_handler=False):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Given the return value from a view function this finalizes</pre>
<pre class="line after"><span class="ws">        </span>the request by converting it into a response and invoking the</pre></div>
</div>

<li><div class="frame" id="frame-4592974368">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py"</cite>,
      line <em class="line">161</em>,
      in <code class="function">wrapped_function</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span># Wrap exception handlers with cross_origin</pre>
<pre class="line before"><span class="ws">        </span># These error handlers will still respect the behavior of the route</pre>
<pre class="line before"><span class="ws">        </span>if options.get('intercept_exceptions', True):</pre>
<pre class="line before"><span class="ws">            </span>def _after_request_decorator(f):</pre>
<pre class="line before"><span class="ws">                </span>def wrapped_function(*args, **kwargs):</pre>
<pre class="line current"><span class="ws">                    </span>return cors_after_request(app.make_response(f(*args, **kwargs)))</pre>
<pre class="line after"><span class="ws">                </span>return wrapped_function</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">            </span>if hasattr(app, 'handle_exception'):</pre>
<pre class="line after"><span class="ws">                </span>app.handle_exception = _after_request_decorator(</pre>
<pre class="line after"><span class="ws">                    </span>app.handle_exception)</pre></div>
</div>

<li><div class="frame" id="frame-4592973920">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1820</em>,
      in <code class="function">handle_user_exception</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>return self.handle_http_exception(e)</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>handler = self._find_error_handler(e)</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>if handler is None:</pre>
<pre class="line current"><span class="ws">            </span>reraise(exc_type, exc_value, tb)</pre>
<pre class="line after"><span class="ws">        </span>return handler(e)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def handle_exception(self, e):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Handle an exception that did not have an error handler</pre>
<pre class="line after"><span class="ws">        </span>associated with it, or that was raised from an error handler.</pre></div>
</div>

<li><div class="frame" id="frame-4592974816">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py"</cite>,
      line <em class="line">39</em>,
      in <code class="function">reraise</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">    </span>import collections.abc as collections_abc</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def reraise(tp, value, tb=None):</pre>
<pre class="line before"><span class="ws">        </span>if value.__traceback__ is not tb:</pre>
<pre class="line before"><span class="ws">            </span>raise value.with_traceback(tb)</pre>
<pre class="line current"><span class="ws">        </span>raise value</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>implements_to_string = _identity</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws"></span>else:</pre>
<pre class="line after"><span class="ws">    </span>iterkeys = lambda d: d.iterkeys()</pre></div>
</div>

<li><div class="frame" id="frame-4592973976">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1949</em>,
      in <code class="function">full_dispatch_request</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span>self.try_trigger_before_first_request_functions()</pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>request_started.send(self)</pre>
<pre class="line before"><span class="ws">            </span>rv = self.preprocess_request()</pre>
<pre class="line before"><span class="ws">            </span>if rv is None:</pre>
<pre class="line current"><span class="ws">                </span>rv = self.dispatch_request()</pre>
<pre class="line after"><span class="ws">        </span>except Exception as e:</pre>
<pre class="line after"><span class="ws">            </span>rv = self.handle_user_exception(e)</pre>
<pre class="line after"><span class="ws">        </span>return self.finalize_request(rv)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def finalize_request(self, rv, from_error_handler=False):</pre></div>
</div>

<li><div class="frame" id="frame-4592974928">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py"</cite>,
      line <em class="line">1935</em>,
      in <code class="function">dispatch_request</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>getattr(rule, &quot;provide_automatic_options&quot;, False)</pre>
<pre class="line before"><span class="ws">            </span>and req.method == &quot;OPTIONS&quot;</pre>
<pre class="line before"><span class="ws">        </span>):</pre>
<pre class="line before"><span class="ws">            </span>return self.make_default_options_response()</pre>
<pre class="line before"><span class="ws">        </span># otherwise dispatch to the handler for that endpoint</pre>
<pre class="line current"><span class="ws">        </span>return self.view_functions[rule.endpoint](**req.view_args)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def full_dispatch_request(self):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Dispatches the request and on top of that performs request</pre>
<pre class="line after"><span class="ws">        </span>pre and postprocessing as well as HTTP exception catching and</pre>
<pre class="line after"><span class="ws">        </span>error handling.</pre></div>
</div>

<li><div class="frame" id="frame-4592974984">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/flask_api.py"</cite>,
      line <em class="line">161</em>,
      in <code class="function">save_clubs</code></h4>
  <div class="source "><pre class="line before"><span class="ws">            </span>return str(e), BAD_REQUEST</pre>
<pre class="line before"><span class="ws">        </span>except Exception as e:</pre>
<pre class="line before"><span class="ws">            </span># TODO: consider security tradeoff of displaying internal server errors</pre>
<pre class="line before"><span class="ws">            </span>#       versus development time (being able to see errors quickly)</pre>
<pre class="line before"><span class="ws">            </span># HINT: security always wins</pre>
<pre class="line current"><span class="ws">            </span>raise e</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>return &quot;SUCCESS&quot;</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws"></span>@app.route('/new_data/locations', methods=['POST'])</pre></div>
</div>

<li><div class="frame" id="frame-4592973752">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/flask_api.py"</cite>,
      line <em class="line">150</em>,
      in <code class="function">save_clubs</code></h4>
  <div class="source "><pre class="line before"><span class="ws">    </span>&quot;&quot;&quot;</pre>
<pre class="line before"><span class="ws">    </span>data = request.get_json()</pre>
<pre class="line before"><span class="ws">    </span>db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)</pre>
<pre class="line before"><span class="ws">    </span>for club in data['clubs']:</pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line current"><span class="ws">            </span>db.save_club(club)</pre>
<pre class="line after"><span class="ws">        </span>except BadDictionaryKeyError as e:</pre>
<pre class="line after"><span class="ws">            </span>return str(e), BAD_REQUEST</pre>
<pre class="line after"><span class="ws">        </span>except BadDictionaryValueError as e:</pre>
<pre class="line after"><span class="ws">            </span>return str(e), BAD_REQUEST</pre>
<pre class="line after"><span class="ws">        </span>except NimbusDatabaseError as e:</pre></div>
</div>

<li><div class="frame" id="frame-4592973584">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/database_wrapper.py"</cite>,
      line <em class="line">581</em>,
      in <code class="function">save_club</code></h4>
  <div class="source "><pre class="line before"><span class="ws">        </span>club_data.box = formatted_data['box']</pre>
<pre class="line before"><span class="ws">        </span>club_data.advisor = formatted_data['advisor']</pre>
<pre class="line before"><span class="ws">        </span>club_data.affiliation = formatted_data['affiliation']</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>self.session.add(club_data)</pre>
<pre class="line current"><span class="ws">        </span>self.session.commit()</pre>
<pre class="line after"><span class="ws">        </span>return True</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>@raises_database_error  # noqa - C901 &quot;too complex&quot; - agreed TODO: reduce complexity</pre>
<pre class="line after"><span class="ws">    </span>def save_audio_sample_meta_data(self, formatted_data: dict) -&gt; bool:</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;</pre></div>
</div>

<li><div class="frame" id="frame-4592973696">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py"</cite>,
      line <em class="line">1036</em>,
      in <code class="function">commit</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>if not self.autocommit:</pre>
<pre class="line before"><span class="ws">                </span>self.begin()</pre>
<pre class="line before"><span class="ws">            </span>else:</pre>
<pre class="line before"><span class="ws">                </span>raise sa_exc.InvalidRequestError(&quot;No transaction is begun.&quot;)</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line current"><span class="ws">        </span>self.transaction.commit()</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def prepare(self):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Prepare the current transaction in progress for two phase commit.</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">        </span>If no transaction is in progress, this method raises an</pre></div>
</div>

<li><div class="frame" id="frame-4592974144">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py"</cite>,
      line <em class="line">503</em>,
      in <code class="function">commit</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span>self._state = PREPARED</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def commit(self):</pre>
<pre class="line before"><span class="ws">        </span>self._assert_active(prepared_ok=True)</pre>
<pre class="line before"><span class="ws">        </span>if self._state is not PREPARED:</pre>
<pre class="line current"><span class="ws">            </span>self._prepare_impl()</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">        </span>if self._parent is None or self.nested:</pre>
<pre class="line after"><span class="ws">            </span>for t in set(self._connections.values()):</pre>
<pre class="line after"><span class="ws">                </span>t[1].commit()</pre>
<pre class="line after"><span class="ws"></span> </pre></div>
</div>

<li><div class="frame" id="frame-4592974256">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py"</cite>,
      line <em class="line">482</em>,
      in <code class="function">_prepare_impl</code></h4>
  <div class="source library"><pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>if not self.session._flushing:</pre>
<pre class="line before"><span class="ws">            </span>for _flush_guard in range(100):</pre>
<pre class="line before"><span class="ws">                </span>if self.session._is_clean():</pre>
<pre class="line before"><span class="ws">                    </span>break</pre>
<pre class="line current"><span class="ws">                </span>self.session.flush()</pre>
<pre class="line after"><span class="ws">            </span>else:</pre>
<pre class="line after"><span class="ws">                </span>raise exc.FlushError(</pre>
<pre class="line after"><span class="ws">                    </span>&quot;Over 100 subsequent flushes have occurred within &quot;</pre>
<pre class="line after"><span class="ws">                    </span>&quot;session.commit() - is an after_flush() hook &quot;</pre>
<pre class="line after"><span class="ws">                    </span>&quot;creating new objects?&quot;</pre></div>
</div>

<li><div class="frame" id="frame-4592974424">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py"</cite>,
      line <em class="line">2479</em>,
      in <code class="function">flush</code></h4>
  <div class="source library"><pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>if self._is_clean():</pre>
<pre class="line before"><span class="ws">            </span>return</pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>self._flushing = True</pre>
<pre class="line current"><span class="ws">            </span>self._flush(objects)</pre>
<pre class="line after"><span class="ws">        </span>finally:</pre>
<pre class="line after"><span class="ws">            </span>self._flushing = False</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def _flush_warning(self, method):</pre>
<pre class="line after"><span class="ws">        </span>util.warn(</pre></div>
</div>

<li><div class="frame" id="frame-4592974872">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py"</cite>,
      line <em class="line">2617</em>,
      in <code class="function">_flush</code></h4>
  <div class="source library"><pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">            </span>transaction.commit()</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>except:</pre>
<pre class="line before"><span class="ws">            </span>with util.safe_reraise():</pre>
<pre class="line current"><span class="ws">                </span>transaction.rollback(_capture_exception=True)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def bulk_save_objects(</pre>
<pre class="line after"><span class="ws">        </span>self,</pre>
<pre class="line after"><span class="ws">        </span>objects,</pre>
<pre class="line after"><span class="ws">        </span>return_defaults=False,</pre></div>
</div>

<li><div class="frame" id="frame-4592975040">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/langhelpers.py"</cite>,
      line <em class="line">68</em>,
      in <code class="function">__exit__</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span># see #2703 for notes</pre>
<pre class="line before"><span class="ws">        </span>if type_ is None:</pre>
<pre class="line before"><span class="ws">            </span>exc_type, exc_value, exc_tb = self._exc_info</pre>
<pre class="line before"><span class="ws">            </span>self._exc_info = None  # remove potential circular references</pre>
<pre class="line before"><span class="ws">            </span>if not self.warn_only:</pre>
<pre class="line current"><span class="ws">                </span>compat.reraise(exc_type, exc_value, exc_tb)</pre>
<pre class="line after"><span class="ws">        </span>else:</pre>
<pre class="line after"><span class="ws">            </span>if not compat.py3k and self._exc_info and self._exc_info[1]:</pre>
<pre class="line after"><span class="ws">                </span># emulate Py3K's behavior of telling us when an exception</pre>
<pre class="line after"><span class="ws">                </span># occurs in an exception handler.</pre>
<pre class="line after"><span class="ws">                </span>warn(</pre></div>
</div>

<li><div class="frame" id="frame-4592975096">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py"</cite>,
      line <em class="line">153</em>,
      in <code class="function">reraise</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span>if cause is not None:</pre>
<pre class="line before"><span class="ws">            </span>assert cause is not value, &quot;Same cause emitted&quot;</pre>
<pre class="line before"><span class="ws">            </span>value.__cause__ = cause</pre>
<pre class="line before"><span class="ws">        </span>if value.__traceback__ is not tb:</pre>
<pre class="line before"><span class="ws">            </span>raise value.with_traceback(tb)</pre>
<pre class="line current"><span class="ws">        </span>raise value</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def u(s):</pre>
<pre class="line after"><span class="ws">        </span>return s</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def ue(s):</pre></div>
</div>

<li><div class="frame" id="frame-4592975152">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py"</cite>,
      line <em class="line">2577</em>,
      in <code class="function">_flush</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>subtransactions=True</pre>
<pre class="line before"><span class="ws">        </span>)</pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>self._warn_on_events = True</pre>
<pre class="line before"><span class="ws">            </span>try:</pre>
<pre class="line current"><span class="ws">                </span>flush_context.execute()</pre>
<pre class="line after"><span class="ws">            </span>finally:</pre>
<pre class="line after"><span class="ws">                </span>self._warn_on_events = False</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">            </span>self.dispatch.after_flush(self, flush_context)</pre>
<pre class="line after"><span class="ws"></span> </pre></div>
</div>

<li><div class="frame" id="frame-4592975208">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/unitofwork.py"</cite>,
      line <em class="line">422</em>,
      in <code class="function">execute</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">                </span>while set_:</pre>
<pre class="line before"><span class="ws">                    </span>n = set_.pop()</pre>
<pre class="line before"><span class="ws">                    </span>n.execute_aggregate(self, set_)</pre>
<pre class="line before"><span class="ws">        </span>else:</pre>
<pre class="line before"><span class="ws">            </span>for rec in topological.sort(self.dependencies, postsort_actions):</pre>
<pre class="line current"><span class="ws">                </span>rec.execute(self)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def finalize_flush_changes(self):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;mark processed objects as clean / deleted after a successful</pre>
<pre class="line after"><span class="ws">        </span>flush().</pre>
<pre class="line after"><span class="ws"></span> </pre></div>
</div>

<li><div class="frame" id="frame-4592975264">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/unitofwork.py"</cite>,
      line <em class="line">589</em>,
      in <code class="function">execute</code></h4>
  <div class="source library"><pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def execute(self, uow):</pre>
<pre class="line before"><span class="ws">        </span>persistence.save_obj(</pre>
<pre class="line before"><span class="ws">            </span>self.mapper,</pre>
<pre class="line before"><span class="ws">            </span>uow.states_for_mapper_hierarchy(self.mapper, False, False),</pre>
<pre class="line current"><span class="ws">            </span>uow,</pre>
<pre class="line after"><span class="ws">        </span>)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def per_state_flush_actions(self, uow):</pre>
<pre class="line after"><span class="ws">        </span>states = list(</pre>
<pre class="line after"><span class="ws">            </span>uow.states_for_mapper_hierarchy(self.mapper, False, False)</pre></div>
</div>

<li><div class="frame" id="frame-4592975320">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/persistence.py"</cite>,
      line <em class="line">245</em>,
      in <code class="function">save_obj</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>base_mapper,</pre>
<pre class="line before"><span class="ws">            </span>uowtransaction,</pre>
<pre class="line before"><span class="ws">            </span>cached_connections,</pre>
<pre class="line before"><span class="ws">            </span>mapper,</pre>
<pre class="line before"><span class="ws">            </span>table,</pre>
<pre class="line current"><span class="ws">            </span>insert,</pre>
<pre class="line after"><span class="ws">        </span>)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>_finalize_insert_update_commands(</pre>
<pre class="line after"><span class="ws">        </span>base_mapper,</pre>
<pre class="line after"><span class="ws">        </span>uowtransaction,</pre></div>
</div>

<li><div class="frame" id="frame-4592975376">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/persistence.py"</cite>,
      line <em class="line">1137</em>,
      in <code class="function">_emit_insert_statements</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">                    </span>result = connection.execute(</pre>
<pre class="line before"><span class="ws">                        </span>statement.values(value_params), params</pre>
<pre class="line before"><span class="ws">                    </span>)</pre>
<pre class="line before"><span class="ws">                </span>else:</pre>
<pre class="line before"><span class="ws">                    </span>result = cached_connections[connection].execute(</pre>
<pre class="line current"><span class="ws">                        </span>statement, params</pre>
<pre class="line after"><span class="ws">                    </span>)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">                </span>primary_key = result.context.inserted_primary_key</pre>
<pre class="line after"><span class="ws">                </span>if primary_key is not None:</pre>
<pre class="line after"><span class="ws">                    </span># set primary key attributes</pre></div>
</div>

<li><div class="frame" id="frame-4592975432">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py"</cite>,
      line <em class="line">982</em>,
      in <code class="function">execute</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>meth = object_._execute_on_connection</pre>
<pre class="line before"><span class="ws">        </span>except AttributeError:</pre>
<pre class="line before"><span class="ws">            </span>raise exc.ObjectNotExecutableError(object_)</pre>
<pre class="line before"><span class="ws">        </span>else:</pre>
<pre class="line current"><span class="ws">            </span>return meth(self, multiparams, params)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def _execute_function(self, func, multiparams, params):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Execute a sql.FunctionElement object.&quot;&quot;&quot;</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">        </span>return self._execute_clauseelement(func.select(), multiparams, params)</pre></div>
</div>

<li><div class="frame" id="frame-4592975656">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/sql/elements.py"</cite>,
      line <em class="line">293</em>,
      in <code class="function">_execute_on_connection</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span># self</pre>
<pre class="line before"><span class="ws">            </span>return self</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def _execute_on_connection(self, connection, multiparams, params):</pre>
<pre class="line before"><span class="ws">        </span>if self.supports_execution:</pre>
<pre class="line current"><span class="ws">            </span>return connection._execute_clauseelement(self, multiparams, params)</pre>
<pre class="line after"><span class="ws">        </span>else:</pre>
<pre class="line after"><span class="ws">            </span>raise exc.ObjectNotExecutableError(self)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def unique_params(self, *optionaldict, **kwargs):</pre>
<pre class="line after"><span class="ws">        </span>&quot;&quot;&quot;Return a copy with :func:`bindparam()` elements replaced.</pre></div>
</div>

<li><div class="frame" id="frame-4592975488">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py"</cite>,
      line <em class="line">1101</em>,
      in <code class="function">_execute_clauseelement</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>dialect,</pre>
<pre class="line before"><span class="ws">            </span>dialect.execution_ctx_cls._init_compiled,</pre>
<pre class="line before"><span class="ws">            </span>compiled_sql,</pre>
<pre class="line before"><span class="ws">            </span>distilled_params,</pre>
<pre class="line before"><span class="ws">            </span>compiled_sql,</pre>
<pre class="line current"><span class="ws">            </span>distilled_params,</pre>
<pre class="line after"><span class="ws">        </span>)</pre>
<pre class="line after"><span class="ws">        </span>if self._has_events or self.engine._has_events:</pre>
<pre class="line after"><span class="ws">            </span>self.dispatch.after_execute(self, elem, multiparams, params, ret)</pre>
<pre class="line after"><span class="ws">        </span>return ret</pre>
<pre class="line after"><span class="ws"></span> </pre></div>
</div>

<li><div class="frame" id="frame-4592975768">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py"</cite>,
      line <em class="line">1250</em>,
      in <code class="function">_execute_context</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">                    </span>self.dialect.do_execute(</pre>
<pre class="line before"><span class="ws">                        </span>cursor, statement, parameters, context</pre>
<pre class="line before"><span class="ws">                    </span>)</pre>
<pre class="line before"><span class="ws">        </span>except BaseException as e:</pre>
<pre class="line before"><span class="ws">            </span>self._handle_dbapi_exception(</pre>
<pre class="line current"><span class="ws">                </span>e, statement, parameters, cursor, context</pre>
<pre class="line after"><span class="ws">            </span>)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">        </span>if self._has_events or self.engine._has_events:</pre>
<pre class="line after"><span class="ws">            </span>self.dispatch.after_cursor_execute(</pre>
<pre class="line after"><span class="ws">                </span>self,</pre></div>
</div>

<li><div class="frame" id="frame-4592975824">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py"</cite>,
      line <em class="line">1476</em>,
      in <code class="function">_handle_dbapi_exception</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">                    </span>self._autorollback()</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">            </span>if newraise:</pre>
<pre class="line before"><span class="ws">                </span>util.raise_from_cause(newraise, exc_info)</pre>
<pre class="line before"><span class="ws">            </span>elif should_wrap:</pre>
<pre class="line current"><span class="ws">                </span>util.raise_from_cause(sqlalchemy_exception, exc_info)</pre>
<pre class="line after"><span class="ws">            </span>else:</pre>
<pre class="line after"><span class="ws">                </span>util.reraise(*exc_info)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">        </span>finally:</pre>
<pre class="line after"><span class="ws">            </span>del self._reentrant_error</pre></div>
</div>

<li><div class="frame" id="frame-4592975712">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py"</cite>,
      line <em class="line">398</em>,
      in <code class="function">raise_from_cause</code></h4>
  <div class="source library"><pre class="line before"><span class="ws"></span>def raise_from_cause(exception, exc_info=None):</pre>
<pre class="line before"><span class="ws">    </span>if exc_info is None:</pre>
<pre class="line before"><span class="ws">        </span>exc_info = sys.exc_info()</pre>
<pre class="line before"><span class="ws">    </span>exc_type, exc_value, exc_tb = exc_info</pre>
<pre class="line before"><span class="ws">    </span>cause = exc_value if exc_value is not exception else None</pre>
<pre class="line current"><span class="ws">    </span>reraise(type(exception), exception, tb=exc_tb, cause=cause)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws"></span>def with_metaclass(meta, *bases):</pre>
<pre class="line after"><span class="ws">    </span>&quot;&quot;&quot;Create a base class with a metaclass.</pre>
<pre class="line after"><span class="ws"></span> </pre></div>
</div>

<li><div class="frame" id="frame-4592975600">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py"</cite>,
      line <em class="line">152</em>,
      in <code class="function">reraise</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">    </span>def reraise(tp, value, tb=None, cause=None):</pre>
<pre class="line before"><span class="ws">        </span>if cause is not None:</pre>
<pre class="line before"><span class="ws">            </span>assert cause is not value, &quot;Same cause emitted&quot;</pre>
<pre class="line before"><span class="ws">            </span>value.__cause__ = cause</pre>
<pre class="line before"><span class="ws">        </span>if value.__traceback__ is not tb:</pre>
<pre class="line current"><span class="ws">            </span>raise value.with_traceback(tb)</pre>
<pre class="line after"><span class="ws">        </span>raise value</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def u(s):</pre>
<pre class="line after"><span class="ws">        </span>return s</pre>
<pre class="line after"><span class="ws"></span> </pre></div>
</div>

<li><div class="frame" id="frame-4592975544">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py"</cite>,
      line <em class="line">1246</em>,
      in <code class="function">_execute_context</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">                        </span>if fn(cursor, statement, parameters, context):</pre>
<pre class="line before"><span class="ws">                            </span>evt_handled = True</pre>
<pre class="line before"><span class="ws">                            </span>break</pre>
<pre class="line before"><span class="ws">                </span>if not evt_handled:</pre>
<pre class="line before"><span class="ws">                    </span>self.dialect.do_execute(</pre>
<pre class="line current"><span class="ws">                        </span>cursor, statement, parameters, context</pre>
<pre class="line after"><span class="ws">                    </span>)</pre>
<pre class="line after"><span class="ws">        </span>except BaseException as e:</pre>
<pre class="line after"><span class="ws">            </span>self._handle_dbapi_exception(</pre>
<pre class="line after"><span class="ws">                </span>e, statement, parameters, cursor, context</pre>
<pre class="line after"><span class="ws">            </span>)</pre></div>
</div>

<li><div class="frame" id="frame-4593058256">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/default.py"</cite>,
      line <em class="line">588</em>,
      in <code class="function">do_execute</code></h4>
  <div class="source library"><pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def do_executemany(self, cursor, statement, parameters, context=None):</pre>
<pre class="line before"><span class="ws">        </span>cursor.executemany(statement, parameters)</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">    </span>def do_execute(self, cursor, statement, parameters, context=None):</pre>
<pre class="line current"><span class="ws">        </span>cursor.execute(statement, parameters)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def do_execute_no_params(self, cursor, statement, context=None):</pre>
<pre class="line after"><span class="ws">        </span>cursor.execute(statement)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">    </span>def is_disconnect(self, e, connection, cursor):</pre></div>
</div>

<li><div class="frame" id="frame-4593058088">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/cursor_cext.py"</cite>,
      line <em class="line">266</em>,
      in <code class="function">execute</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">                        </span>&quot;Not all parameters were used in the SQL statement&quot;)</pre>
<pre class="line before"><span class="ws"></span> </pre>
<pre class="line before"><span class="ws">        </span>try:</pre>
<pre class="line before"><span class="ws">            </span>result = self._cnx.cmd_query(stmt, raw=self._raw,</pre>
<pre class="line before"><span class="ws">                                         </span>buffered=self._buffered,</pre>
<pre class="line current"><span class="ws">                                         </span>raw_as_string=self._raw_as_string)</pre>
<pre class="line after"><span class="ws">        </span>except MySQLInterfaceError as exc:</pre>
<pre class="line after"><span class="ws">            </span>raise errors.get_mysql_exception(msg=exc.msg, errno=exc.errno,</pre>
<pre class="line after"><span class="ws">                                             </span>sqlstate=exc.sqlstate)</pre>
<pre class="line after"><span class="ws"></span> </pre>
<pre class="line after"><span class="ws">        </span>self._executed = stmt</pre></div>
</div>

<li><div class="frame" id="frame-4593057920">
  <h4>File <cite class="filename">"/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/connection_cext.py"</cite>,
      line <em class="line">475</em>,
      in <code class="function">cmd_query</code></h4>
  <div class="source library"><pre class="line before"><span class="ws">            </span>self._cmysql.query(query,</pre>
<pre class="line before"><span class="ws">                               </span>raw=raw, buffered=buffered,</pre>
<pre class="line before"><span class="ws">                               </span>raw_as_string=raw_as_string)</pre>
<pre class="line before"><span class="ws">        </span>except MySQLInterfaceError as exc:</pre>
<pre class="line before"><span class="ws">            </span>raise errors.get_mysql_exception(exc.errno, msg=exc.msg,</pre>
<pre class="line current"><span class="ws">                                             </span>sqlstate=exc.sqlstate)</pre>
<pre class="line after"><span class="ws">        </span>except AttributeError:</pre>
<pre class="line after"><span class="ws">            </span>if self._unix_socket:</pre>
<pre class="line after"><span class="ws">                </span>addr = self._unix_socket</pre>
<pre class="line after"><span class="ws">            </span>else:</pre>
<pre class="line after"><span class="ws">                </span>addr = self._host + ':' + str(self._port)</pre></div>
</div>
</ul>
  <blockquote>sqlalchemy.exc.DataError: (mysql.connector.errors.DataError) 1406 (22001): Data too long for column 'contact_phone' at row 1
[SQL: INSERT INTO `Clubs` (club_name, types, `desc`, contact_email, contact_email_2, contact_person, contact_phone, box, advisor, affiliation) VALUES (%(club_name)s, %(types)s, %(desc)s, %(contact_email)s, %(contact_email_2)s, %(contact_person)s, %(contact_phone)s, %(box)s, %(advisor)s, %(affiliation)s)]
[parameters: {'club_name': 'test_club', 'types': 'Academic, Special Interest', 'desc': 'description', 'contact_email': 'test@test.com', 'contact_email_2': 'test@test.com', 'contact_person': 'Test Person', 'contact_phone': 15552223232, 'box': 89, 'advisor': 'Test Person', 'affiliation': None}]
(Background on this error at: http://sqlalche.me/e/9h9h)</blockquote>
</div>

<div class="plain">
  <form action="/?__debugger__=yes&amp;cmd=paste" method="post">
    <p>
      <input type="hidden" name="language" value="pytb">
      This is the Copy/Paste friendly version of the traceback.  <span
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    <textarea cols="50" rows="10" name="code" readonly>Traceback (most recent call last):
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/connection_cext.py&quot;, line 472, in cmd_query
    raw_as_string=raw_as_string)
_mysql_connector.MySQLInterfaceError: Data too long for column 'contact_phone' at row 1

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py&quot;, line 1246, in _execute_context
    cursor, statement, parameters, context
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/default.py&quot;, line 588, in do_execute
    cursor.execute(statement, parameters)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/cursor_cext.py&quot;, line 266, in execute
    raw_as_string=self._raw_as_string)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/connection_cext.py&quot;, line 475, in cmd_query
    sqlstate=exc.sqlstate)
mysql.connector.errors.DataError: 1406 (22001): Data too long for column 'contact_phone' at row 1

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 2463, in __call__
    return self.wsgi_app(environ, start_response)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 2449, in wsgi_app
    response = self.handle_exception(e)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py&quot;, line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1866, in handle_exception
    reraise(exc_type, exc_value, tb)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py&quot;, line 39, in reraise
    raise value
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 2446, in wsgi_app
    response = self.full_dispatch_request()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1951, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py&quot;, line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1820, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py&quot;, line 39, in reraise
    raise value
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1949, in full_dispatch_request
    rv = self.dispatch_request()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py&quot;, line 1935, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File &quot;/Users/mfekadu/GitHub/api/flask_api.py&quot;, line 161, in save_clubs
    raise e
  File &quot;/Users/mfekadu/GitHub/api/flask_api.py&quot;, line 150, in save_clubs
    db.save_club(club)
  File &quot;/Users/mfekadu/GitHub/api/database_wrapper.py&quot;, line 581, in save_club
    self.session.commit()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py&quot;, line 1036, in commit
    self.transaction.commit()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py&quot;, line 503, in commit
    self._prepare_impl()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py&quot;, line 482, in _prepare_impl
    self.session.flush()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py&quot;, line 2479, in flush
    self._flush(objects)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py&quot;, line 2617, in _flush
    transaction.rollback(_capture_exception=True)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/langhelpers.py&quot;, line 68, in __exit__
    compat.reraise(exc_type, exc_value, exc_tb)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py&quot;, line 153, in reraise
    raise value
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py&quot;, line 2577, in _flush
    flush_context.execute()
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/unitofwork.py&quot;, line 422, in execute
    rec.execute(self)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/unitofwork.py&quot;, line 589, in execute
    uow,
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/persistence.py&quot;, line 245, in save_obj
    insert,
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/persistence.py&quot;, line 1137, in _emit_insert_statements
    statement, params
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py&quot;, line 982, in execute
    return meth(self, multiparams, params)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/sql/elements.py&quot;, line 293, in _execute_on_connection
    return connection._execute_clauseelement(self, multiparams, params)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py&quot;, line 1101, in _execute_clauseelement
    distilled_params,
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py&quot;, line 1250, in _execute_context
    e, statement, parameters, cursor, context
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py&quot;, line 1476, in _handle_dbapi_exception
    util.raise_from_cause(sqlalchemy_exception, exc_info)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py&quot;, line 398, in raise_from_cause
    reraise(type(exception), exception, tb=exc_tb, cause=cause)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py&quot;, line 152, in reraise
    raise value.with_traceback(tb)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py&quot;, line 1246, in _execute_context
    cursor, statement, parameters, context
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/default.py&quot;, line 588, in do_execute
    cursor.execute(statement, parameters)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/cursor_cext.py&quot;, line 266, in execute
    raw_as_string=self._raw_as_string)
  File &quot;/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/connection_cext.py&quot;, line 475, in cmd_query
    sqlstate=exc.sqlstate)
sqlalchemy.exc.DataError: (mysql.connector.errors.DataError) 1406 (22001): Data too long for column 'contact_phone' at row 1
[SQL: INSERT INTO `Clubs` (club_name, types, `desc`, contact_email, contact_email_2, contact_person, contact_phone, box, advisor, affiliation) VALUES (%(club_name)s, %(types)s, %(desc)s, %(contact_email)s, %(contact_email_2)s, %(contact_person)s, %(contact_phone)s, %(box)s, %(advisor)s, %(affiliation)s)]
[parameters: {'club_name': 'test_club', 'types': 'Academic, Special Interest', 'desc': 'description', 'contact_email': 'test@test.com', 'contact_email_2': 'test@test.com', 'contact_person': 'Test Person', 'contact_phone': 15552223232, 'box': 89, 'advisor': 'Test Person', 'affiliation': None}]
(Background on this error at: http://sqlalche.me/e/9h9h)</textarea>
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Traceback (most recent call last):
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/connection_cext.py", line 472, in cmd_query
    raw_as_string=raw_as_string)
_mysql_connector.MySQLInterfaceError: Data too long for column 'contact_phone' at row 1

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 1246, in _execute_context
    cursor, statement, parameters, context
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/default.py", line 588, in do_execute
    cursor.execute(statement, parameters)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/cursor_cext.py", line 266, in execute
    raw_as_string=self._raw_as_string)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/connection_cext.py", line 475, in cmd_query
    sqlstate=exc.sqlstate)
mysql.connector.errors.DataError: 1406 (22001): Data too long for column 'contact_phone' at row 1

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 2463, in __call__
    return self.wsgi_app(environ, start_response)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 2449, in wsgi_app
    response = self.handle_exception(e)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py", line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1866, in handle_exception
    reraise(exc_type, exc_value, tb)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
    raise value
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 2446, in wsgi_app
    response = self.full_dispatch_request()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1951, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask_cors/extension.py", line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1820, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
    raise value
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1949, in full_dispatch_request
    rv = self.dispatch_request()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/flask/app.py", line 1935, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "/Users/mfekadu/GitHub/api/flask_api.py", line 161, in save_clubs
    raise e
  File "/Users/mfekadu/GitHub/api/flask_api.py", line 150, in save_clubs
    db.save_club(club)
  File "/Users/mfekadu/GitHub/api/database_wrapper.py", line 581, in save_club
    self.session.commit()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 1036, in commit
    self.transaction.commit()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 503, in commit
    self._prepare_impl()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 482, in _prepare_impl
    self.session.flush()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 2479, in flush
    self._flush(objects)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 2617, in _flush
    transaction.rollback(_capture_exception=True)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/langhelpers.py", line 68, in __exit__
    compat.reraise(exc_type, exc_value, exc_tb)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py", line 153, in reraise
    raise value
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 2577, in _flush
    flush_context.execute()
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/unitofwork.py", line 422, in execute
    rec.execute(self)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/unitofwork.py", line 589, in execute
    uow,
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/persistence.py", line 245, in save_obj
    insert,
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/orm/persistence.py", line 1137, in _emit_insert_statements
    statement, params
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 982, in execute
    return meth(self, multiparams, params)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/sql/elements.py", line 293, in _execute_on_connection
    return connection._execute_clauseelement(self, multiparams, params)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 1101, in _execute_clauseelement
    distilled_params,
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 1250, in _execute_context
    e, statement, parameters, cursor, context
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 1476, in _handle_dbapi_exception
    util.raise_from_cause(sqlalchemy_exception, exc_info)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py", line 398, in raise_from_cause
    reraise(type(exception), exception, tb=exc_tb, cause=cause)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/util/compat.py", line 152, in reraise
    raise value.with_traceback(tb)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 1246, in _execute_context
    cursor, statement, parameters, context
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/sqlalchemy/engine/default.py", line 588, in do_execute
    cursor.execute(statement, parameters)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/cursor_cext.py", line 266, in execute
    raw_as_string=self._raw_as_string)
  File "/Users/mfekadu/GitHub/api/venv/lib/python3.6/site-packages/mysql/connector/connection_cext.py", line 475, in cmd_query
    sqlstate=exc.sqlstate)
sqlalchemy.exc.DataError: (mysql.connector.errors.DataError) 1406 (22001): Data too long for column 'contact_phone' at row 1
[SQL: INSERT INTO `Clubs` (club_name, types, `desc`, contact_email, contact_email_2, contact_person, contact_phone, box, advisor, affiliation) VALUES (%(club_name)s, %(types)s, %(desc)s, %(contact_email)s, %(contact_email_2)s, %(contact_person)s, %(contact_phone)s, %(box)s, %(advisor)s, %(affiliation)s)]
[parameters: {'club_name': 'test_club', 'types': 'Academic, Special Interest', 'desc': 'description', 'contact_email': 'test@test.com', 'contact_email_2': 'test@test.com', 'contact_person': 'Test Person', 'contact_phone': 15552223232, 'box': 89, 'advisor': 'Test Person', 'affiliation': None}]
(Background on this error at: http://sqlalche.me/e/9h9h)

-->

========================================= 1 failed, 1 passed in 5.70s =========================================
➜  tests git:(mf-patch-and-test) ✗
---
 tests/test_new_data_clubs_endpoint.py | 41 +++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)
 create mode 100644 tests/test_new_data_clubs_endpoint.py

diff --git a/tests/test_new_data_clubs_endpoint.py b/tests/test_new_data_clubs_endpoint.py
new file mode 100644
index 0000000..2d6d82e
--- /dev/null
+++ b/tests/test_new_data_clubs_endpoint.py
@@ -0,0 +1,41 @@
+import requests  # noqa
+import json
+
+BASE_URL = "http://0.0.0.0:8080"
+URL = f"{BASE_URL}/new_data/clubs"
+
+
+def test_post_one_course():
+    data = {
+        "clubs": [
+            {
+                "club_name": "test_club",
+                "types": "Academic, Special Interest",
+                "desc": "description",
+                "contact_email": "test@test.com",
+                "contact_email_2": "test@test.com",
+                "contact_person": "Test Person",
+                "contact_phone": 15552223232,
+                "box": 89,
+                "advisor": "Test Person",
+                "affiliation": None,
+            }
+        ]
+    }
+
+    # aka 'request body' aka 'payload'
+    request_json = json.dumps(data)
+
+    headers = {"Content-Type": "application/json"}
+    print("request_json:\n\n", request_json, "\n")
+    response = requests.post(URL, data=request_json, headers=headers)
+
+    # printouts
+    print("response.ok", response.ok)
+    print("response.status_code", response.status_code)
+    print("response.text", response.text)
+
+    # assertions
+    assert response.ok is True
+    assert response.status_code == 200
+    assert response.text == "SUCCESS"

From f4f71cfff6b3252131924118cb46b98b5cd07eba Mon Sep 17 00:00:00 2001
From: Chidi Ewenike <chidiewenike@gmail.com>
Date: Fri, 28 Feb 2020 14:07:26 -0800
Subject: [PATCH 111/272] reinserted NIMBUS_NLP.py

---
 nimbus-nlp/NIMBUS_NLP.py | 183 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 183 insertions(+)
 create mode 100644 nimbus-nlp/NIMBUS_NLP.py

diff --git a/nimbus-nlp/NIMBUS_NLP.py b/nimbus-nlp/NIMBUS_NLP.py
new file mode 100644
index 0000000..1f9b246
--- /dev/null
+++ b/nimbus-nlp/NIMBUS_NLP.py
@@ -0,0 +1,183 @@
+import nltk
+import numpy as np
+import os
+import pandas as pd
+import re
+import sklearn.neighbors
+import spacy
+import sys
+
+from google.api_core.client_options import ClientOptions
+from google.cloud import automl_v1
+from google.cloud.automl_v1.proto import service_pb2
+
+# Temporary import for the classifier
+from question_classifier import TrainQuestionClassifier
+
+class NIMBUS_NLP:
+
+    @staticmethod
+    def predict_question(input_question):
+        '''
+        Runs through variable extraction and the question classifier to
+        predict the intended question.
+
+        Args: input_question (string) - user input question to answer
+
+        Return: nlp_props (dict) - contains the user's input question,
+                                   the variable extracted input question,
+                                   the entity extracted, and the predicted
+                                   answer
+
+        '''
+
+        # Instantiate the variable extraction class
+        variable_extraction = Variable_Extraction()
+
+        # Obtain the properties from variable extraction
+        nlp_props = variable_extraction.extract_variables(input_question)
+
+        # Instantiate the question classifier class
+        classifier = TrainQuestionClassifier(save_model=False)
+
+        # Classify the question and add it to the nlp properties dictionary 
+        nlp_props["question class"] = classifier.\
+                classify_question(nlp_props["normalized question"])
+        
+        return nlp_props
+    
+
+class Variable_Extraction:
+    def __init__(self):
+        self.model_name = None
+        self.credential_path = None
+        os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = self.credential_path
+
+    def inline_text_payload(self, sent):
+        '''
+        Converts the input sentence into GCP's callable format
+
+        Args: sent (string) - input sentence
+
+        Return: (dict) - GCP NER input format
+
+        '''
+
+        return {'text_snippet': {'content': sent, 'mime_type': 'text/plain'} }
+
+    def get_prediction(self, sent):
+        '''
+        Obtains the prediction from the input sentence and returns the
+        normalized sentence
+
+        Args: sent (string) - input sentence
+
+        Return: request (PredictObject) - predictiton output
+        ''' 
+        
+        params = {}
+        
+        # Setup API 
+        options = ClientOptions(api_endpoint='automl.googleapis.com')
+        
+        # Create prediction object
+        predictor = automl_v1.PredictionServiceClient(client_options=options)
+
+        # Format input sentence
+        payload = self.inline_text_payload(sent)
+        
+        # Make prediction API call
+        request = predictor.predict(self.model_name, payload, params)
+
+        # Return the output of the API call
+        return request
+
+    def extract_variables(self, sent):
+        '''
+        Takes the prediction and replaces the entity with its corresponding tag
+
+        Args: sent (string) - input sentence
+
+        Return: (dict) -    "entity" - extracted entity 
+                            "tag" - tag of the extracted entity 
+                            "normalized entity" - stripped entity
+                            "input question" - input question from the user
+                            "normalized question" - variable-replaced question
+        '''
+
+        # Make the prediction
+        request = self.get_prediction(sent)
+
+        # Obtain the entity in the sentence
+        entity = request.payload[0].text_extraction.text_segment.content 
+        
+        # Obtain the predicted tag 
+        tag = request.payload[0].display_name
+
+        # Removes excessive words from the entity
+        normalized_entity = Variable_Extraction.excess_word_removal(entity, tag)
+
+        # Replaces the entity of input question with its corresponding tag
+        normalized_question = sent.replace(entity, '[' + tag + ']')
+        
+        return {
+                    "entity"                : entity,
+                    "tag"                   : tag,
+                    "normalized entity"     : normalized_entity,
+                    "input question"        : sent,
+                    "normalized question"   : normalized_question
+               }
+
+    @staticmethod    
+    def excess_word_removal(entity, tag):
+        '''
+        Checks the tag and determines which excess word removal function to use
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: (string) - returns the normalized entity string
+
+        '''
+
+        if (tag == 'PROF'):
+            return Variable_Extraction.strip_titles(entity)
+
+        else:
+            return entity
+
+    @staticmethod
+    def strip_titles(entity):
+        '''
+        Strips titles from input entities
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: norm_entity (string) - the normalized, title-stripped entity
+
+        '''
+
+        # list of titles for removal
+        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.",\
+                  "mr.", "ms.", "mrs", "mr", "ms", "mister"}
+
+        # tokenizes the entity
+        for name in entity.split():
+
+            # checks each token with the titles set and replaces the title
+            # if it is within the word
+            if name.lower() in titles:
+                return entity.replace(name + " ", "")
+
+        # returns the original entity string 
+        # if there is no title in the word
+        return entity
+
+#TODO: Add the Question_Classifier code directly into this file
+class Question_Classifier:
+    pass
+
+if __name__ == '__main__':
+    while True:
+        question = input("Enter a question: ")
+        answer = NIMBUS_NLP.predict_question(question)
+        print(answer)

From 45e35e800b7adde35ec8bc01038ec34d44d98d17 Mon Sep 17 00:00:00 2001
From: Chidi Ewenike <chidiewenike@gmail.com>
Date: Fri, 28 Feb 2020 14:13:11 -0800
Subject: [PATCH 112/272] added modified NIMBUS_NLP.py

---
 nimbus-nlp/NIMBUS_NLP.py | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/nimbus-nlp/NIMBUS_NLP.py b/nimbus-nlp/NIMBUS_NLP.py
index 1f9b246..320d7c5 100644
--- a/nimbus-nlp/NIMBUS_NLP.py
+++ b/nimbus-nlp/NIMBUS_NLP.py
@@ -12,7 +12,7 @@
 from google.cloud.automl_v1.proto import service_pb2
 
 # Temporary import for the classifier
-from question_classifier import TrainQuestionClassifier
+from question_classifier import QuestionClassifier
 
 class NIMBUS_NLP:
 
@@ -38,8 +38,9 @@ def predict_question(input_question):
         nlp_props = variable_extraction.extract_variables(input_question)
 
         # Instantiate the question classifier class
-        classifier = TrainQuestionClassifier(save_model=False)
-
+        classifier = QuestionClassifier()
+        classifier.load_latest_classifier()
+        
         # Classify the question and add it to the nlp properties dictionary 
         nlp_props["question class"] = classifier.\
                 classify_question(nlp_props["normalized question"])
@@ -49,8 +50,8 @@ def predict_question(input_question):
 
 class Variable_Extraction:
     def __init__(self):
-        self.model_name = None
-        self.credential_path = None
+        self.model_name = "projects/550037488827/locations/us-central1/models/TEN122771468357468160"
+        self.credential_path = os.getcwd() + "\\auth.json" # replace with the path to the credential json
         os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = self.credential_path
 
     def inline_text_payload(self, sent):

From 0a7e7b30e01936f099f9df47051357376ff045c6 Mon Sep 17 00:00:00 2001
From: Chidi Ewenike <chidiewenike@gmail.com>
Date: Fri, 28 Feb 2020 14:19:18 -0800
Subject: [PATCH 113/272] added modified NIMBUS_NLP.py

---
 nimbus-nlp/NIMBUS_NLP.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/nimbus-nlp/NIMBUS_NLP.py b/nimbus-nlp/NIMBUS_NLP.py
index 562d2e4..d64c9b3 100644
--- a/nimbus-nlp/NIMBUS_NLP.py
+++ b/nimbus-nlp/NIMBUS_NLP.py
@@ -12,7 +12,7 @@
 from google.cloud.automl_v1.proto import service_pb2
 
 # Temporary import for the classifier
-from question_classifier import TrainQuestionClassifier
+from question_classifier import QuestionClassifier
 
 class NIMBUS_NLP:
 

From c1f41d1456efe7b4f5d06ced801c9b380e32efa7 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Fri, 28 Feb 2020 15:32:57 -0800
Subject: [PATCH 114/272] working ask endpoint

---
 .gitignore                                    |   1 +
 QA.py                                         | 172 +++++-
 database_wrapper.py                           |  18 +-
 flask_api.py                                  |   6 +-
 nimbus.py                                     |  31 +
 nimbus_nlp/NIMBUS_NLP.py                      | 185 ++++++
 .../nlp-model_02_23_2020_14_52_48.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_23_2020_14_53_28.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_37_02.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_39_24.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_45_29.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_57_43.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_59_57.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_00_38.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_01_30.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_03_40.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_20_30_27.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_20_32_32.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_21_08_26.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_24_13.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_33_03.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_34_28.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_42_43.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_50_04.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_51_10.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_53_51.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_56_20.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_28_2020_00_00_28.pkl         | Bin 0 -> 3588699 bytes
 .../nlp-model_02_28_2020_00_11_52.pkl         | Bin 0 -> 3579755 bytes
 .../models/features/overall_features.json     |   1 +
 nimbus_nlp/question_classifier.py             | 281 ++++++++++
 nimbus_nlp/question_set_clean.csv             | 529 ++++++++++++++++++
 nimbus_nlp/save_and_load_model.py             |  39 ++
 q_a_pairs.csv                                 | 136 +++++
 34 files changed, 1390 insertions(+), 9 deletions(-)
 create mode 100644 nimbus.py
 create mode 100644 nimbus_nlp/NIMBUS_NLP.py
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_28_2020_00_11_52.pkl
 create mode 100644 nimbus_nlp/models/features/overall_features.json
 create mode 100644 nimbus_nlp/question_classifier.py
 create mode 100644 nimbus_nlp/question_set_clean.csv
 create mode 100644 nimbus_nlp/save_and_load_model.py
 create mode 100644 q_a_pairs.csv

diff --git a/.gitignore b/.gitignore
index 1e4059d..63092c6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -116,3 +116,4 @@ credentials.json
 folder_id.txt
 settings.yaml
 .export_env_vars
+auth.json
diff --git a/QA.py b/QA.py
index 66bdd7e..250b065 100644
--- a/QA.py
+++ b/QA.py
@@ -1,4 +1,13 @@
 from typing import Callable, Dict, Any
+import functools
+import re
+from Entity.Courses import Courses
+from Entity.Locations import Locations
+from Entity.Professors import Professors
+from Entity.Clubs import Clubs
+from Entity.Sections import Sections
+from database_wrapper import NimbusMySQLAlchemy
+from pandas import read_csv
 
 Extracted_Vars = Dict[str, Any]
 DB_Data = Dict[str, Any]
@@ -6,12 +15,25 @@
 Answer_Formatter = Callable[[Extracted_Vars, DB_Data], str]
 
 
+tag_lookup = {
+    'PROF': Professors,
+    'CLUB': Clubs,
+    'COURSE': Courses,
+    'SECRET_HIDEOUT': Locations,
+    'SECTION': Sections
+}
+
+# TODO: Initialize this somewhere else. Currently here because of _get_property()
+# Move into the Nimbus class below if possible.
+db = NimbusMySQLAlchemy()
+
+
 class QA:
     """
     A class for wrapping functions used to answer a question.
     """
 
-    def __init__(self, q_format, db, db_query, format_function):
+    def __init__(self, q_format, db_query, format_answer):
         """
         Args:
             q_format (str): Question format string
@@ -24,20 +46,22 @@ def __init__(self, q_format, db, db_query, format_function):
                 data retrieved from the database--and returns a str.
         """
         self.q_format = q_format
-        self.db = db
         self.db_query = db_query
-        self.format_function = format_function
+        self.format_answer = format_answer
 
     def _get_data_from_db(self, extracted_vars):
         return self.db_query(extracted_vars)
 
     def _format_answer(self, extracted_vars, db_data):
-        return self.format_function(extracted_vars, db_data)
+        return self.format_answer(extracted_vars, db_data)
 
     def answer(self, extracted_vars):
         db_data = self._get_data_from_db(extracted_vars)
         return self._format_answer(extracted_vars, db_data)
 
+    def __repr__(self):
+        return self.q_format
+
     def __hash__(self):
         return hash(self.q_format)
 
@@ -51,3 +75,143 @@ def create_qa_mapping(qa_list):
         qa_list (list(QA))
     """
     return {qa.q_format: qa for qa in qa_list}
+
+
+# def _string_sub(a_format, extracted_vars, db_data):
+#     """
+#     Substitutes values in a string based off the contents of the extracted_vars
+#     and db_data dictionaries. Keys from the dictionaries in the a_format string
+#     will be replaced with their associated value.
+#
+#     Example input/output:
+#         a_format: "{professor1_ex}'s office is {office1_db}."
+#         extracted_vars: {"professor1": "Dr. Khosmood"}
+#         db_data: {"office1": "14-213"}
+#
+#         "Dr. Khosmood's office is 14-213"
+#
+#     Args:
+#         a_format (str): String to be formatted. Variables to be substituted should
+#             be in curly braces and end in "_ex" for keys from extracted_vars and "_db"
+#             for keys from db_data.
+#         extracted_vars (Extracted_Vars)
+#         db_data (Db_Data)
+#
+#     Returns:
+#         A formatted answer string
+#     """
+#     # Adds "_ex" to the end of keys in extracted_vars
+#     extracted_vars = {
+#         k + "_ex": v for k, v in extracted_vars.items()
+#     }
+#     # Adds "_db" to the end of keys in db_data
+#     db_data = {
+#         k + "_db": v for k, v in db_data.items()
+#     }
+#     return a_format.format(**extracted_vars, **db_data)
+#
+#
+# def _single_var_string_sub(a_format, extracted_vars, db_data):
+#     """
+#     Like _string_sub for cases where there's max one item in either dict
+#
+#     Example input/output:
+#         a_format: "{ex}'s office is {db}."
+#         extracted_vars: {"professor1": "Dr. Khosmood"}
+#         db_data: {"office1": "14-213"}
+#
+#         "Dr. Khosmood's office is 14-213"
+#
+#     Args:
+#         a_format (str): String to be formatted. {ex} will be substituted with
+#             the value from extracted_vars and {db} will be substituted with the
+#             value from db_data
+#         extracted_vars (Extracted_Vars)
+#         db_data (Db_Data)
+#
+#     Returns:
+#         A formatted answer string
+#     """
+#     # Gets value from a dictionary with a single item
+#     ex_val = next(iter(extracted_vars.values())) if extracted_vars else ''
+#     db_val = next(iter(db_data.values())) if db_data else ''
+#     return a_format.format(ex=ex_val, db=db_val)
+#
+#
+# def string_sub(a_format):
+#     return functools.partial(_string_sub, a_format)
+#
+#
+# def single_var_string_sub(a_format):
+#     return functools.partial(_single_var_string_sub, a_format)
+
+
+def _string_sub(a_format, extracted_info, db_data):
+    if db_data is None:
+        return None
+    else:
+        return a_format.format(ex=extracted_info['normalized entity'], db=db_data)
+
+
+def string_sub(a_format):
+    return functools.partial(_string_sub, a_format)
+
+
+def _get_property(prop, extracted_info):
+    ent_string = extracted_info["normalized entity"]
+    ent = tag_lookup[extracted_info['tag']]
+    try:
+        value = db.get_property_from_entity(prop=prop, entity=ent, identifier=ent_string)
+    except IndexError:
+        return None
+    else:
+        return value
+
+
+def get_property(prop):
+    return functools.partial(_get_property, prop)
+
+
+def _yes_no(a_format, pred, extracted_info, db_data):
+    if pred is None:
+        result = 'Yes' if db_data else 'No'
+    elif type(pred) == str:
+        result = 'Yes' if re.search(pred, db_data) else 'No'
+    else:
+        result = 'Yes' if pred(db_data) else 'No'
+    return a_format.format(y_n=result, yes_no=result, ex=extracted_info['normalized entity'])
+
+
+def yes_no(a_format, pred=None):
+    return functools.partial(_yes_no, a_format, pred)
+
+
+def generate_fact_QA(csv):
+    df = read_csv(csv)
+    text_in_brackets = r'\[[^\[\]]*\]'
+    qa_objs = []
+    for i in range(len(df)):
+        q = df['question_format'][i]
+        a = df['answer_format'][i]
+        matches = re.findall(text_in_brackets, a)
+        extracted = None
+        if len(matches) == 1:
+            db_data = matches[0]
+        elif '..' in matches[1]:
+            db_data = matches[1]
+            extracted = matches[0]
+        else:
+            db_data = matches[0]
+            extracted = matches[1]
+        prop = db_data.split('..', 1)[1][0:-1]
+        a = a.replace(db_data, '{db}')
+        if extracted is not None:
+            a = a.replace(extracted, '{ex}')
+        o = QA(
+            q_format=q,
+            db_query=get_property(prop),
+            format_answer=string_sub(a)
+        )
+        qa_objs.append(o)
+
+    return qa_objs
diff --git a/database_wrapper.py b/database_wrapper.py
index 18747f4..74b6b19 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -36,6 +36,15 @@
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
+default_tag_column_dict = {
+    Calendars: {"date"},
+    Courses: {"courseName", "courseNum", "dept"},
+    Locations: {"building_number", "name"},
+    Professors: {"firstName", "lastName"},
+    Clubs: {"club_name"},
+    Sections: {"section_name"}
+}
+
 
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
@@ -379,7 +388,8 @@ def full_fuzzy_match(self, tag_value, identifier):
 
 
     def get_property_from_entity(
-        self, prop: str, entity: UNION_ENTITIES, identifier: str, tag_column_map: dict
+        self, prop: str, entity: UNION_ENTITIES, identifier: str,
+        tag_column_map: dict = default_tag_column_dict
     ):
         """
         This function implements the abstractmethod to get a column of values
@@ -422,11 +432,11 @@ def get_property_from_entity(
             total_similarity = 0
             tags = []
             for tag_prop in tag_props:
-                total_similarity += self.full_fuzzy_match(row.__dict__[tag_prop], identifier)
-                tags.append(row.__dict__[tag_prop])
+                total_similarity += self.full_fuzzy_match(str(row.__dict__[tag_prop]), identifier)
+                tags.append(str(row.__dict__[tag_prop]))
 
             if total_similarity > MATCH_THRESHOLD:
-                results.append((total_similarity, tags, row.__dict__[prop]))
+                results.append((total_similarity, tags, str(row.__dict__[prop])))
 
         if len(results) < 1:
             return None
diff --git a/flask_api.py b/flask_api.py
index 19c0d86..d6478c5 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -16,6 +16,8 @@
 from modules.formatters import WakeWordFormatter
 from modules.validators import WakeWordValidator, WakeWordValidatorError
 
+from nimbus import Nimbus
+
 BAD_REQUEST = 400
 SUCCESS = 200
 
@@ -24,6 +26,8 @@
 app = Flask(__name__)
 CORS(app)
 
+# TODO: Initialize this somewhere else.
+nimbus = Nimbus()
 
 @app.route('/', methods=['GET', 'POST'])
 def hello():
@@ -60,7 +64,7 @@ def handle_question():
         return "request body should include the question", BAD_REQUEST
 
     response = {
-        "answer": "answer of <<{}>>".format(question),
+        "answer": nimbus.answer_question(question)
     }
 
     if "session" in request_body:
diff --git a/nimbus.py b/nimbus.py
new file mode 100644
index 0000000..2ef8f87
--- /dev/null
+++ b/nimbus.py
@@ -0,0 +1,31 @@
+from QA import create_qa_mapping, generate_fact_QA
+from nimbus_nlp.NIMBUS_NLP import NIMBUS_NLP
+
+
+class Nimbus:
+
+    def __init__(self):
+        self.qa_dict = create_qa_mapping(
+            generate_fact_QA("q_a_pairs.csv")
+        )
+
+    def answer_question(self, question):
+        ans_dict = NIMBUS_NLP.predict_question(question)
+        print(ans_dict)
+        try:
+            qa = self.qa_dict[ans_dict["question class"]]
+        except KeyError:
+            return "I'm sorry, I don't understand. Please try another question."
+        else:
+            answer = qa.answer(ans_dict)
+            if answer is None:
+                return("I'm sorry, I understand your question but was unable to find an answer. "
+                       "Please try another question.")
+            else:
+                return answer
+
+if __name__ == "__main__":
+    nimbus = Nimbus()
+    while True:
+        question = input("Enter a question: ")
+        print(nimbus.answer_question(question))
\ No newline at end of file
diff --git a/nimbus_nlp/NIMBUS_NLP.py b/nimbus_nlp/NIMBUS_NLP.py
new file mode 100644
index 0000000..66942bf
--- /dev/null
+++ b/nimbus_nlp/NIMBUS_NLP.py
@@ -0,0 +1,185 @@
+import nltk
+import numpy as np
+import os
+import pandas as pd
+import re
+import sklearn.neighbors
+import spacy
+import sys
+
+from google.api_core.client_options import ClientOptions
+from google.cloud import automl_v1
+from google.cloud.automl_v1.proto import service_pb2
+
+# Temporary import for the classifier
+from nimbus_nlp.question_classifier import QuestionClassifier
+
+class NIMBUS_NLP:
+
+    @staticmethod
+    def predict_question(input_question):
+        '''
+        Runs through variable extraction and the question classifier to
+        predict the intended question.
+
+        Args: input_question (string) - user input question to answer
+
+        Return: nlp_props (dict) - contains the user's input question,
+                                   the variable extracted input question,
+                                   the entity extracted, and the predicted
+                                   answer
+
+        '''
+
+        # Instantiate the variable extraction class
+        variable_extraction = Variable_Extraction()
+
+        # Obtain the properties from variable extraction
+        nlp_props = variable_extraction.extract_variables(input_question)
+
+        # Instantiate the question classifier class
+        classifier = QuestionClassifier()
+        classifier.load_latest_classifier()
+        
+        # Classify the question and add it to the nlp properties dictionary 
+        nlp_props["question class"] = classifier.\
+                classify_question(nlp_props["normalized question"])
+        
+        return nlp_props
+    
+
+class Variable_Extraction:
+    def __init__(self):
+
+        self.model_name = "projects/550037488827/locations/us-central1/models/TEN122771468357468160"
+        credential_path = os.getcwd() + "/auth.json"
+        os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
+
+    def inline_text_payload(self, sent):
+        '''
+        Converts the input sentence into GCP's callable format
+
+        Args: sent (string) - input sentence
+
+        Return: (dict) - GCP NER input format
+
+        '''
+
+        return {'text_snippet': {'content': sent, 'mime_type': 'text/plain'} }
+
+    def get_prediction(self, sent):
+        '''
+        Obtains the prediction from the input sentence and returns the
+        normalized sentence
+
+        Args: sent (string) - input sentence
+
+        Return: request (PredictObject) - predictiton output
+        ''' 
+        
+        params = {}
+        
+        # Setup API 
+        options = ClientOptions(api_endpoint='automl.googleapis.com')
+        
+        # Create prediction object
+        predictor = automl_v1.PredictionServiceClient(client_options=options)
+
+        # Format input sentence
+        payload = self.inline_text_payload(sent)
+        
+        # Make prediction API call
+        request = predictor.predict(self.model_name, payload, params)
+
+        # Return the output of the API call
+        return request
+
+    def extract_variables(self, sent):
+        '''
+        Takes the prediction and replaces the entity with its corresponding tag
+
+        Args: sent (string) - input sentence
+
+        Return: (dict) -    "entity" - extracted entity 
+                            "tag" - tag of the extracted entity 
+                            "normalized entity" - stripped entity
+                            "input question" - input question from the user
+                            "normalized question" - variable-replaced question
+        '''
+
+        # Make the prediction
+        request = self.get_prediction(sent)
+
+        # Obtain the entity in the sentence
+        entity = request.payload[0].text_extraction.text_segment.content 
+        
+        # Obtain the predicted tag 
+        tag = request.payload[0].display_name
+
+        # Removes excessive words from the entity
+        normalized_entity = Variable_Extraction.excess_word_removal(entity, tag)
+
+        # Replaces the entity of input question with its corresponding tag
+        normalized_question = sent.replace(entity, '[' + tag + ']')
+        
+        return {
+                    "entity"                : entity,
+                    "tag"                   : tag,
+                    "normalized entity"     : normalized_entity,
+                    "input question"        : sent,
+                    "normalized question"   : normalized_question
+               }
+
+    @staticmethod    
+    def excess_word_removal(entity, tag):
+        '''
+        Checks the tag and determines which excess word removal function to use
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: (string) - returns the normalized entity string
+
+        '''
+
+        if (tag == 'PROF'):
+            return Variable_Extraction.strip_titles(entity)
+
+        else:
+            return entity
+
+    @staticmethod
+    def strip_titles(entity):
+        '''
+        Strips titles from input entities
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: norm_entity (string) - the normalized, title-stripped entity
+
+        '''
+
+        # list of titles for removal
+        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.",\
+                  "mr.", "ms.", "mrs", "mr", "ms", "mister"}
+
+        # tokenizes the entity
+        for name in entity.split():
+
+            # checks each token with the titles set and replaces the title
+            # if it is within the word
+            if name.lower() in titles:
+                return entity.replace(name + " ", "")
+
+        # returns the original entity string 
+        # if there is no title in the word
+        return entity
+
+#TODO: Add the Question_Classifier code directly into this file
+class Question_Classifier:
+    pass
+
+if __name__ == '__main__':
+    while True:
+        question = input("Enter a question: ")
+        answer = NIMBUS_NLP.predict_question(question)
+        print(answer)
diff --git a/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl b/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl b/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl b/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl b/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl b/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl b/nimbus_nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl
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diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
new file mode 100644
index 0000000..45b5372
--- /dev/null
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -0,0 +1 @@
+{"[COURSE]": 0, "is": 0, "what": 0, "are": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "have": 0, "prereq": 0, "major": 0, "avoid": 0, "section": 0, "time": 0, "next": 0, "quarter": 0, "offered": 0, "how": 0, "many": 0, "offer": 0, "count": 0, "unit": 0, "towards": 0, "when": 0, "typically": 0, "going": 0, "go": 0, "tutuoring": 0, "tutuor": 0, "Is": 0, "information": 0, "currently": 0, "4": 0, "class": 0, "prerequisite": 0, "term": 0, "consent": 0, "instructor": 0, "get": 0, "recommend": 0, "need": 0, "order": 0, "upper": 0, "divisional": 0, "c": 0, "good": 0, "short": 0, "path": 0, "stand": 0, "people": 0, "limit": 0, "total": 0, "credit": 0, "select": 0, "tech": 0, "elective": 0, "structure": 0, "crosslist": 0, "another": 0, "department": 0, "grade": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "include": 0, "group": 0, "work": 0, "project": 0, "base": 0, "build": 0, "similar": 0, "consider": 0, "pass": 0, "fail": 0, "hour": 0, "week": 0, "spent": 0, "much": 0, "spend": 0, "per": 0, "year": 0, "In": 0, "available": 0, "fulfill": 0, "one": 0, "requirement": 0, "use": 0, "anything": 0, "lecture": 0, "COURSE": 0, "make": 0, "lab": 0, "Are": 0, "instead": 0, "alternative": 0, "Have": 0, "something": 0, "else": 0, "substitute": 0, "stat": 0, "-PRON-": 0, "preqs": 0, "statistic": 0, "necessary": 0, "degree": 0, "'s": 0, "soon": 0, "help": 0, "minor": 0, "contribute": 0, "ever": 0, "description": 0, "learn": 0, "usually": 0, "ge": 0, "needed": 0, "classes": 0, "list": 0, "math": 0, "approval": 0, "graduate": 0, "level": 0, "undergraduate": 0, "non": 0, "part": 0, "datum": 0, "science": 0, "teach": 0, "teacher": 0, "taught": 0, "past": 0, "programming": 0, "experience": 0, "taken": 0, "flowchart": 0, "open": 0, "who": 0, "high": 0, "rank": 0, "teaching": 0, "low": 0, "complete": 0, "last": 0, "workshop": 0, "study": 0, "session": 0, "worth": 0, "number": 0, "comes": 0, "come": 0, "teaches": 0, "cs": 0, "se": 0, "basis": 0, "prerequesite": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "professor": 0, "corsslist": 0, "prerequisites": 0, "rat": 0, "polyrat": 0, "that": 0, "schedule": 0, "tutoring": 0, "provided": 0, "provide": 0, "[PROF]": 0, "like": 0, "research": 0, "area": 0, "PROF": 0, "proposal": 0, "write": 0, "cal": 0, "poly": 0, "website": 0, "where": 0, "building": 0, "student": 0, "office": 0, "right": 0, "later": 0, "today": 0, "tomorrow": 0, "email": 0, "average": 0, "polyrating": 0, "review": 0, "recent": 0, "professors": 0, "first": 0, "phone": 0, "rating": 0, "faculty": 0, "advisor": 0, "interest": 0, "interested": 0, "researching": 0, "liked": 0, "well": 0, "has": 0, "url": 0, "different": 0, "school": 0, "attended": 0, "attend": 0, "csse": 0, "program": 0, "long": 0, "start": 0, "was": 0, "working": 0, "still": 0, "been": 0, "Did": 0, "computer": 0, "publish": 0, "paper": 0, "submit": 0, "contributed": 0, "digital": 0, "common": 0, "Has": 0, "written": 0, "advised": 0, "senior": 0, "advise": 0, "whose": 0, "length": 0, "published": 0, "journal": 0, "papers": 0, "contact": 0, "reach": 0, "room": 0, "find": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "shares": 0, "share": 0, "anyone": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "position": 0, "member": 0, "moment": 0, "place": 0, "campus": 0, "professional": 0, "distinction": 0, "bs": 0, "master": 0, "doctorate": 0, "day": 0, "neighbor": 0, "be": 0, "recognize": 0, "difficulty": 0, "present": 0, "material": 0, "clearly": 0, "give": 0, "polylearn": 0, "[MMC]": 0, "mathematic": 0, "support": 0, "option": 0, "approve": 0, "technical": 0, "external": 0, "taking": 0, "gre": 0, "acceptance": 0, "1": 0, "availabe": 0, "satisfy": 0, "pre": 0, "requisite": 0, "obtain": 0, "blended": 0, "ms": 0, "concentration": 0, "life": 0, "optional": 0, "skip": 0, "ap": 0, "ib": 0, "adds": 0, "add": 0, "least": 0, "amount": 0, "graduation": 0, 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\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
new file mode 100644
index 0000000..d8755c6
--- /dev/null
+++ b/nimbus_nlp/question_classifier.py
@@ -0,0 +1,281 @@
+import re
+import nltk
+import spacy
+import numpy as np
+import sklearn.neighbors
+import pandas as pd
+import sys
+import json
+from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
+
+# TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
+
+
+class QuestionClassifier:
+    def __init__(self):
+        self.classifier = None
+        self.nlp = spacy.load('en_core_web_sm')
+        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
+        self.overall_features = {}
+
+    def train_model(self):
+        self.save_model = save_model
+
+
+        # REPLACE WITH API EVENTUALLY
+        self.file_path = "question_set_clean.csv"
+
+        # The possible WH word tags returned through NLTK part of speech tagging
+
+
+        self.classifier = self.build_question_classifier()
+        save_model(self.classifier, "nlp-model")
+
+
+    def load_latest_classifier(self):
+        self.classifier = load_latest_model()
+        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'r') as fp:
+            self.overall_features = json.load(fp)
+
+    def get_question_features(self, question):
+        # print("using new algorithm")
+        """
+        Method to extract features from each individual question.
+        """
+        features = {}
+
+        # Extract the main verb from the question before additional processing
+        main_verb = str(self.extract_main_verb(question))
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
+        stemmed_main_verb = self.nlp(main_verb)[0]
+        features[stemmed_main_verb.text] = 60
+
+        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
+        # WITH WEIGHT 60
+        words_pos = nltk.pos_tag(filtered_words)
+        for word_pos in words_pos:
+            if self.is_wh_word(word_pos[1]):
+                features[word_pos[0]] = 60
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
+            if word not in features:
+                features[word] = 30
+
+        return features
+
+    def get_question_features_old_algorithm(self, question):
+        print("using old algorithm....")
+        """
+            Method to extract features from each individual question.
+            """
+        features = {}
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+        filtered_words = self.get_lemmas(words)
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        features[filtered_words[0]] = 60
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            features[word] = 30
+
+        return features
+
+    # EXTRACTS THE MAIN VERB FROM A QUESTION USING THE DEPENDENCY TREE
+    # THE MAIN VERB OF THE QUESTION SHOULD BE THE ROOT OF THE TREE
+    # Note: this method of extracting the main verb is not perfect, but
+    # for single sentence questions that should have no ambiguity about the main verb,
+    # it should be sufficient.
+    def extract_main_verb(self, question):
+        doc = self.nlp(question)
+        sents = list(doc.sents)
+        if len(sents) == 0:
+            raise ValueError("Empty question")
+
+        return sents[0].root
+
+    def get_lemmas(self, words):
+        return [self.nlp(word)[0].lemma_ for word in words]
+
+    def is_wh_word(self, pos):
+        return pos in self.WH_WORDS
+
+    def build_question_classifier(self):
+        """
+        Build overall feature set for each question based on feature vectors of individual questions.
+        Train KNN classification model with overall feature set.
+        """
+
+        # READ QUESTIONS
+        questions = pd.read_csv('question_set_clean.csv')
+        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
+        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
+
+        question_features = questions['features'].values.tolist()
+
+        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
+        for feature in question_features:
+            for key in feature:
+                if key not in self.overall_features:
+                    self.overall_features[key] = 0
+        self.overall_features["not related"] = 0
+
+
+        vectors = []
+        for feature in question_features:
+            vector = dict.fromkeys(self.overall_features, 0)
+            for key in feature:
+                vector[key] = feature[key]
+            vectors.append(np.array(list(vector.values())))
+
+        y_train = questions['questionFormat']
+        vectors = np.array(vectors)
+        y_train = np.array(y_train)
+        new_classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
+        new_classifier.fit(vectors, y_train)
+
+        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'w') as fp:
+            json.dump(self.overall_features, fp)
+
+        return new_classifier
+
+    def filterWHTags(self, question):
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        question_tags = nltk.pos_tag(filtered_words)
+        question_tags = [
+            tag for tag in question_tags if self.is_wh_word(tag[1])]
+        return question_tags
+
+    def validate_WH(self, test_question, predicted_question):
+        """
+        Assumes that only 1 WH word exists
+        Returns True if the WH word in the test question equals the
+        WH word in the predicted question
+        """
+
+        test_tags = self.filterWHTags(test_question)
+        predicted_tags = self.filterWHTags(predicted_question)
+
+        # Uncomment these lines below to see
+        # print("Test")
+        # print(test_tags)
+        # print()
+
+        # print("Predicted")
+        # print(predicted_tags)
+        # print()
+
+        # Compares all WH words in the tags array and returns False if one doesn't match
+        min_tag_len = min(len(test_tags), len(predicted_tags))
+        wh_match = True
+        i = 0
+        while (wh_match and i < min_tag_len):
+            wh_match = wh_match and (test_tags[i][0] == predicted_tags[i][0])
+            i += 1
+        return wh_match
+
+    def classify_question(self, test_question):
+        """
+        Match a user query with a question in the database based on the classifier we trained and overall features we calculated.
+        Return relevant question.
+        """
+        if self.classifier is None:
+            raise ValueError("Classifier not initialized")
+
+        #if self.use_new:
+        test_features = self.get_question_features(test_question)
+        #else:
+        #    test_features = self.get_question_features_old_algorithm(
+        #        test_question)
+        test_vector = dict.fromkeys(self.overall_features, 0)
+        for key in test_features:
+            if key in test_vector:
+                test_vector[key] = test_features[key]
+            #else:
+                # IF A WORD IS NOT IN THE EXISTING FEATURE SET, IT MAY BE A QUESTION WE CANNOT ANSWER.
+            #    test_vector["not related"] += 250
+        test_vector = np.array(list(test_vector.values()))
+        test_vector = test_vector.reshape(1, -1)
+        min_dist = np.min(self.classifier.kneighbors(test_vector, n_neighbors=1)[0])
+        if min_dist > 150:
+            return "I don't think that's a Statistics related question! Try asking something about the STAT curriculum."
+
+        predicted_question = self.classifier.predict(test_vector)[0]
+
+        wh_words_match = self.validate_WH(test_question, predicted_question)
+        # Uncomment to print whether the WH words match
+        # print("WH Words Match?:", wh_words_match)
+
+        if (not wh_words_match):
+            return "WH Words Don't Match"
+
+        return predicted_question
+
+
+def main():
+    # use_new = False
+    # print(sys.argv)
+    # if len(sys.argv) > 1 and sys.argv[1] == 'new':
+    #     use_new = True
+    classifier = QuestionClassifier()
+    # print(classifier.get_question_features(
+    #     "What are Foaad Khosmood's office hours?"))
+    # print(classifier.get_question_features(
+    #     "Does Foaad Khosmood have office hours?"))
+    # print(classifier.get_question_features("Who teaches CSC 480"))
+    # print(classifier.get_question_features("CSC 480 is taught by who?"))
+    # print(classifier.get_question_features("Khosmood teaches CSC 480?"))
+    # print(classifier.get_question_features(
+    #     "Whose office hours are between 1 and 2 pm?"))
+    # print(classifier.get_question_features("Where is Franz Kurfess' office?"))
+    # print(classifier.get_question_features("This is a normal sentence."))
+    # print(classifier.get_question_features("[COURSE] is taught by who?"))
+    # print(classifier.get_question_features("How do I register for classes?"))
+    #classifier.train_model()
+    classifier.load_latest_classifier()
+    print(classifier.classify_question("Which [PROF] teaches [COURSE]?"))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/nimbus_nlp/question_set_clean.csv b/nimbus_nlp/question_set_clean.csv
new file mode 100644
index 0000000..33a34c8
--- /dev/null
+++ b/nimbus_nlp/question_set_clean.csv
@@ -0,0 +1,529 @@
+questionFormat
+What is [COURSE] about?
+What are the prereqs for [COURSE]?
+Which courses are required to be taken before [COURSE]?
+What courses have [COURSE] as a prereq?
+Which majors require [COURSE]?
+Which majors avoid [COURSE]?
+What are the sections times for [COURSE] next quarter?
+What are the sections times for [COURSE] this quarter?
+How many sections of [COURSE] are being offered this quarter?
+How many sections of [COURSE] are being offered next quarter?
+How many units does [COURSE] count towards?
+When is [COURSE] typically offered?
+During what quarters is [COURSE] typically offered?
+Is [COURSE] going to be offered next quarter?
+Is tutuoring offered for [COURSE]
+Is there any information on [COURSE]?
+Is [COURSE] currently offered?
+Is [COURSE] a 4 unit class?
+Does [COURSE] have any prerequisites?
+What terms is [COURSE] typically offered?
+Which terms is [COURSE] offered?
+Does [COURSE] require consent of instructor?
+Can I get into [COURSE] with instructor's consent?
+What are the prerequisites for [COURSE]?
+What classes do I have to take before [COURSE]?
+What are the recommended prerequisites for [COURSE]?
+What classes do I need in order to take [COURSE]?
+Which classes have [COURSE] as a prerequisite?
+Does [COURSE] have an upper divisional prerequisite?
+Do I need a C- or better in [COURSE] to take any other classes?
+What is the shortest path to taking [COURSE]?
+Which classes require [COURSE] standing?
+Which classes do not require [COURSE] standing?
+When do most people take [COURSE]?
+Is [COURSE] limited in total credit?
+Can I select [COURSE] as a tech elective?
+What is the structure of [COURSE]?
+How many units is [COURSE]?
+Is [COURSE] crosslisted in another department?
+Is [COURSE] credit/no credit grading only?
+What topics are covered in [COURSE]?
+What is the course title for [COURSE]?
+What is [COURSE] also called?
+What is the name of [COURSE]?
+What is the course code for [COURSE]?
+Does [COURSE] include group work?
+Is [COURSE] project based?
+What class should I take after [COURSE]?
+What classes build off [COURSE]?
+Which classes are most similar to [COURSE]?
+What classes should I take with [COURSE]?
+How many units do I need to take to be considered a [COURSE]?
+Can I take [COURSE] credit no credit?
+Can I take [COURSE] pass-fail?
+Is [COURSE] a required course?
+Do I have to take [COURSE]?
+How many hours a week is [COURSE]?
+How much time is spent in [COURSE] per week?
+How many times is [COURSE] offered per year?
+In how many quarters is [COURSE] offered?
+When is [COURSE] offered?
+When is [COURSE] available?
+When can I take [COURSE]?
+Does [COURSE] fulfill more than one requirement?
+Can I use [COURSE] to fulfill more than one requirement?
+How many units does [COURSE] have?
+How many units does [COURSE] fulfill?
+What does [COURSE] fulfill?
+Does [COURSE] fulfill anything?
+What requirements does [COURSE] fulfill?
+How many lectures does [COURSE] have?
+How many times a week does [COURSE] week?
+How many lectures make up [COURSE]?
+Does [COURSE] have a lab?
+Do I have to take a lab with [COURSE]?
+How many labs does [COURSE] have?
+How many prerequisites does [COURSE] have?
+Are there any prerequisites for [COURSE]?
+What classes can I take instead of [COURSE]?
+What are alternatives to [COURSE]?
+Are there any alternatives for [COURSE]?
+How many alternative does [COURSE] Have?
+Can I take something else instead of [COURSE]?
+What courses substitute [COURSE]?
+What STAT courses have [COURSE] as a prereq?
+What courses do you need to take before taking [COURSE]?
+Does [COURSE] have any preqs?
+Is [COURSE] being offered this quarter?
+Can I take [COURSE] this quarter?
+Do I need to take [COURSE] to major in Statistics?
+Is [COURSE] necessary to get a stats degree?
+When's the next time I can take [COURSE]?
+Is [COURSE] being offered soon?
+Does [COURSE] help me get a stats minor?
+Does [COURSE] contribute to my stats minor?
+Has [COURSE] ever been offered by the stats department?
+When has [COURSE] been offered?
+What class is [COURSE]?
+What is the description of [COURSE]?
+What do you learn in [COURSE]?
+What term is [COURSE] typically offered?
+When is [COURSE] usually offered?
+Does [COURSE] fulfill any GE requirements?
+How many prerequisite classes are needed for me to take [COURSE]?
+List classes below [COURSE].
+List classes above [COURSE].
+Does [COURSE] require any MATH classes?
+Which classes have a [COURSE] prerequisite?
+Does [COURSE] require instructor approval?
+Is [COURSE] being offered next quarter?
+Is [COURSE] a graduate level course?
+Is [COURSE] a undergraduate level course?
+Does [COURSE] have non-statistics prerequisites?
+Does [COURSE] have non-statistics and non-math prerequisites?
+Is [COURSE] part of the data science minor?
+What teachers teach [COURSE] this quarter?
+What teachers have taught [COURSE] in the past?
+Does [COURSE] require programming experience?
+When should [COURSE] be taken based on the stat flowchart?
+Are there sections for [COURSE] that are open next quarter?
+Who is the highest ranked teacher teaching [COURSE]?
+Who is the lowest ranked teacher teaching [COURSE]?
+What data science minor courses have [COURSE] as a prerequisite?
+Do I need [COURSE] to complete the data science minor?
+Is [COURSE] an upper level or lower level course?
+When was the last time [COURSE] was offered?
+Is [COURSE] an upper level course?
+Is [COURSE] a lower level course?
+When should I take [COURSE]?
+What is [COURSE]?
+Does the department offer [COURSE].
+What will I learn in [COURSE]?
+Is there a class on [COURSE]?.
+Are there any workshops or study sessions available for [COURSE]?
+What courses are needed to take [COURSE]?
+How much credits is [COURSE] worth?
+What is the number for [COURSE]?
+What courses have [COURSE] as a prerequisite?
+What comes after [COURSE]?
+What is the description for [COURSE]?
+Who should I take [COURSE] with?
+Who typically teaches [COURSE]?
+Does [COURSE] have any non CS/SE prerequisites?
+Is [COURSE] offered on a Credit/No Credit basis?
+Is there a grade prerequesite for [COURSE]?
+Does [COURSE] have any corequisites?
+Does [COURSE] have any concurrent enrollements?
+How is [COURSE] listed?
+Who is the best professor for [COURSE] with?
+Which professors have taught [COURSE]?
+Which quarter is [COURSE] typically offered?
+Does [COURSE] have a prerequisite from another department?
+What course number does [COURSE] have?
+What course name does [COURSE] have?
+How many units of lab does [COURSE] have?
+Are there any recommended classes for [COURSE]?
+Is [COURSE] corsslisted?
+Which departments does [COURSE] have prerequisites in?
+On what level is [COURSE]?
+Which courses require [COURSE]
+Who is the best professor to take for [COURSE]?
+Who teaches [COURSE]?
+Who is usually the professor for [COURSE]?
+Who has taught [COURSE] in the past?
+What is the highest rated polyrating professor for [COURSE]?
+What is the highest rated polyrating professor that is currently teaching [COURSE]?
+What is the highest rated polyrating professor that taught [COURSE] last quarter?
+What is the highest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+What is the lowest rated polyrating professor for [COURSE]?
+What is the lowest rated polyrating professor that is currently teaching [COURSE]?
+What is the lowest rated polyrating professor that taught [COURSE] last quarter?
+What is the lowest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+How many professors teach [COURSE]?
+Which professors teach [COURSE]?
+What professor(s) typically teach [COURSE]?
+What professor(s) teach [COURSE] this quarter?
+Which professors are teaching [COURSE] next quarter?
+Who are the professors teaching [COURSE] next quarter?
+Can I get tutoring in [COURSE]?
+Is tutoring available for [COURSE]?
+Is tutoring provided for [COURSE]?
+"During Stat tutoring, can I get help with [COURSE]"
+What courses is [PROF] teaching this quarter?
+What courses is [PROF] teaching next quarter?
+What is [PROF] schedule like this quarter?
+What is [PROF] schedule like next quarter?
+How many courses is [PROF] teaching?
+What are [PROF]'s research areas?
+How many research areas does [PROF] have?
+How many proposals has [PROF] written at Cal Poly?
+Does [PROF] have a website?
+What is [PROF]'s website?
+Where can I learn more about [PROF]?
+Does [PROF] have a Cal Poly website?
+What classes does [PROF] teach?
+What buildings does [PROF] teach in?
+How many students does [PROF] currently teach between all their classes?
+What time are all [PROF]'s classes taught?
+What classes are [PROF] teaching next quarter?
+When are [PROF]'s office hours?
+Does [PROF] have office hours right now?
+Does [PROF] have office hours later today?
+Does [PROF] have office hours tomorrow?
+Where is [PROF]'s office?
+How many office hours does [PROF] have this week?
+What is [PROF]'s email?
+How can I email [PROF]?
+What is the email of [PROF]?
+Is [PROF]'s email listed?
+What is [PROF]'s average PolyRating?
+What classes does [PROF] have PolyRatings for?
+How many PolyRatings does [PROF] have?
+Is [PROF] reviewed on PolyRatings?
+Does [PROF] have a PolyRating?
+When is the most recent PolyRating for [PROF]?
+What level of professor is [PROF]?
+List all [PROF] level professors.
+Is [PROF] a professor at Cal Poly?
+What is professor [PROF]'s first name?
+Does [PROF] currently teach at Cal Poly?
+What is [PROF]'s phone number?
+What is the phone number for [PROF]?
+How many phone numbers are listed for [PROF]?
+Does [PROF] have a phone number listed?
+Is there a phone number listed for [PROF]?
+Which courses does [PROF] teach?
+What is [PROF]'s poly rating?
+Is [PROF] a faculty advisor?
+What are the research interests of [PROF]?
+What research areas are [PROF] interested in?
+What is [PROF] researching?
+What is the average polyrating of [PROF]?
+What is [PROF] rated on polyratings?
+How good of a professor is [PROF]?
+Is [PROF] a good professor?
+Is [PROF] well liked?
+Which of [PROF] has the highest polyrating?
+What is the URL for [PROF]'s polyratings?
+How many different classes will [PROF] teach next quarter?
+What courses has [PROF] taught?
+What courses does [PROF] teach?
+What is [PROF] teaching this quarter?
+Is [PROF] teaching any classes this quarter?
+Where is [PROF] teaching right now?
+Where will [PROF] be teaching next?
+Where did [PROF] go to school?
+What degrees does [PROF] have?
+What schools has [PROF] attended?
+Who are the [PROF] in the CSSE program at Cal Poly?
+What school did [PROF] get their degree from?
+How many degrees does [PROF] have?
+How long has [PROF] taught at Cal Poly?
+What year did [PROF] start at Cal Poly?
+When did [PROF] start teaching at Cal Poly?
+Did [PROF] study at Cal Poly?
+When was [PROF] a professor at Cal Poly?
+What is the highest degree of [PROF]?
+Where did [PROF] get their most recent degree?
+What is [PROF]'s highest degree?
+Is [PROF] still working at Cal Poly?
+Does [PROF] still teach at Cal Poly?
+Has there ever been a professor [PROF] in Cal Poly CSSE?
+Did [PROF] ever teach in the computer science department?
+What published research projects does [PROF] have?
+How many research papers has [PROF] submitted for Cal Poly?
+What papers has [PROF] contributed to the Cal Poly Digital Commons?
+Has [PROF] published any papers?
+What research papers has [PROF] written?
+What senior projects has [PROF] advised?
+How many senior projects has [PROF] advised?
+What senior projects did [PROF] advise last year?
+Whose senior projects has [PROF] advised?
+What is the average length of papers published by [PROF]?
+Where can I learn more about [PROF]'s research?
+In what journals has [PROF] been published?
+What journals has [PROF] published papers in?
+How can I contact [PROF]?
+What is [PROF]'s contact information?
+What number do I call to reach [PROF]?
+How can I reach [PROF]?
+In what room is [PROF]'s office?
+Where can I find [PROF]'s website?
+Does [PROF] have a personal website?
+What is [PROF]'s home page?
+What is the email address of [PROF]?
+What is the office of [PROF]?
+What are the names and emails of all computer science [PROF]?
+Who are the computer science [PROF]s at Cal Poly?
+Who shares an office with [PROF]?
+Does anyone share an office with [PROF]?
+What time are [PROF]'s office hours?
+When can I visit [PROF]'s office?
+Is [PROF] hosting office hours right now?
+Is [PROF] in their office now?
+What is the job title of [PROF]?
+Is [PROF] a lecturer or a professor?
+What is the position of [PROF]?
+What is [PROF]'s job at Cal Poly?
+"In the CSSE department, how many faculty members are [PROF]?"
+How many computer science [PROF] are there at Cal Poly?
+Who are the professors with the last name [PROF]?
+Where is [PROF] right now?
+"At the moment, where is [PROF]?"
+Where is [PROF] currently?
+Where is the next place I can find [PROF]?
+When can I next find [PROF] on campus?
+What are [PROF]'s personal interests?
+What are [PROF]'s professional distinctions?
+Where did [PROF] get their BS?
+Which school did [PROF] get their BS at?
+Which school did [PROF] get their Master's at?
+Where did [PROF] get their Master's?
+Where did [PROF] get their doctorate?
+Which school did [PROF] get their doctorate at?
+When did [PROF] get their BS?
+What year did [PROF] get their BS?
+When did [PROF] get their Master's?
+What year did [PROF] get their Master's?
+When did [PROF] get their doctorate?
+What year did [PROF] get their doctorate?
+What is [PROF]'s title?
+What is the title of [PROF]?
+What is the phone number of [PROF]?
+What building is [PROF]'s office in?
+What time does [PROF] have office hours today?
+What days does [PROF] have office hours?
+Which professors neighbor [PROF]?
+How many professors neighbor [PROF]?
+When will [PROF] be at his/her office?
+Is [PROF] at their office right now?
+How many classes is [PROF] teaching this quarter?
+How many classes is [PROF] teaching next quarter?
+How many polyratings does [PROF] have?
+Does [PROF] recognize student difficulties?
+How well does [PROF] recognize student difficulties?
+Does [PROF] present material clearly?
+How clearly does [PROF] present material?
+What grades has [PROF] given out (on polylearn)?
+What is the average polyratings grade for [PROF]?
+What professional distinctions does [PROF] have?
+Does [PROF] have any areas of research?
+What are the Mathematics/Statistics Support Elective options for [MMC]
+What are the approved technical electives for [MMC]
+Which courses will count as approved external electives for [MMC]
+Is taking the GRE required for acceptance into the 4+1 program for [MMC]?
+What classes are availabe to satisfy the pre-requisite technical elective course for [MMC]?
+Which courses will count as approved pre-requisite technical electives for [MMC]
+What [MMC] electives are offered next quarter?
+What are the electives being offered for [MMC] next quarter?
+Which electives are offered for [MMC] for next quarter?
+What courses are required for the [MMC] minor?
+Which courses do I need to take for the [MMC] minor?
+How many units are required to obtain the 4+1 blended BS/MS degree for [MMC]?
+What courses are required for the [MMC] concentration?
+Which courses do I need to take for the [MMC] concentration?
+What are the life science support elective options for [MMC]
+What are the support course options for [MMC]?
+Which courses are part of the [MMC]?
+Which courses are optional for [MMC]?
+Which courses in [MMC] can I skip through AP Credit?
+Which courses in [MMC] can I skip through IB Credit?
+Which minor or concentration adds the least amount of graduation time to the [MMC]?
+How many general education courses do I need to take for the [MMC] major?
+How many support courses do I need to take for the [MMC] major?
+What is the units break down for [MMC] major?
+How many GE units do I need for the [MMC] major?
+How many support units do I need for the [MMC] major?
+How many units do I need for the [MMC] major?
+"In order to complete the [MMC] major, how many units will I need?"
+How many units do I need for the [MMC] minor?
+How many units does the [MMC] require?
+How many classes per quarter do I have to take for [MMC]?
+How many concentrations are there in [MMC]?
+How many courses are required for [MMC]?
+Can I double major with [MMC]?
+What are the degree requirements for [MMC]?
+How many students are enrolled in [MMC]?
+Is there a BS/MS blend with [MMC]?
+How many units are required for [MMC]?
+Does an inquiry need to be submitted to switch into [MMC]
+What are the minimum requirements to switch into [MMC]
+Does [MMC] contain any free electives?
+What courses are needed to obtain [MMC]
+Is there a GPA requirement to enroll in [MMC]
+How many tech electives are required for [MMC]?
+What are the general education categories required for [MMC] majors?
+Are there any [MMC] classes that can be taken by credit/no credit?
+Can any technical electives for [MMC] be taken by credit/no credit?
+How many GEs do I have to take in [MMC]?
+How many general educations do I have to take in [MMC]?
+How many general education classes do I have to take in [MMC]?
+How many units of electives do I need for [MMC]?
+What is the total number of units of electives needed to graduate in [MMC]?
+How many approved electives do I have to take for the [MMC]?
+What are the approved electives I can take for a [MMC]?
+What are the program educational objectives for the [MMC]?
+What are the learning outcomes of [MMC]?
+What are the learning outcomes for [MMC]?
+What are the [MMC] courses?
+What are the courses required for [MMC]?
+How many courses do we have in [MMC]?
+What are some [MMC] resources that are available?
+What resources are there for [MMC]?
+Where can I get advising for a [MMC]?
+What are the course numbers that are considered independent study in [MMC]?
+How many units do I need for a [MMC]?
+What are the steps to apply for the [MMC]?
+How do I apply for a [MMC]?
+What are the required courses for the [MMC]?
+What are the prerequisites for the [MMC]?
+Where can I get the application for the [MMC]?
+Where can I get the flowchart for the [MMC]?
+What courses should I take each quarter for the [MMC]?
+How many classes do I have to take for [MMC]?
+What is the total number of classes needed to graduate in [MMC]?
+How do I declare [MMC] concentration?
+Who are the minor advisors for [MMC]?
+Who can I contact to get more information about the [MMC]?
+Who can I contact if I have questions about [MMC]?
+Who will help me if I have doubts about [MMC]?
+Where can I get the flowchart for [MMC]?
+What are the GE area required for [MMC]?
+What are the undergraduate courses for [MMC]?
+What are the graduate courses for [MMC]?
+How many GE areas have to be completed for [MMC]?
+What minor would make more sense with [MMC]
+"At best, how long last [MMC]?"
+How many years are necessary to graduate from [MMC]?
+What are the tech electives for [MMC]?
+What courses are electives for [MMC]?
+What electives can I take to get a [MMC]?
+What courses are credit not allowed for [MMC]?
+What are the program objectives of [MMC]?
+How many people are in the classes for [MMC]?
+Who accredits the [MMC]?
+What are the prerequisites for [MMC]?
+Is there a [MMC] Minor?
+What is the [MMC] Minor?
+Is [MMC] a part of another department?
+Who is the advisor for [MMC]?
+How many units to get a Minor in [MMC]?
+How many prerequisites are there for [MMC]?
+How many students take [MMC]?
+Will [MMC] help me get a job?
+How many classes would I have to take to get a Minor in [MMC]?
+How do I learn more about [MMC]?
+Which classes are crosslisted in [DEPT]?
+What [DEPT] courses are required?
+What classes are required from [DEPT]?
+How many [DEPT] courses are required?
+How many courses from [DEPT] are required?
+How many classes of [DEPT] do I have to complete?
+What clubs does the [DEPT] department offer?
+How many clubs are in the [DEPT] department?
+What types of clubs does the [DEPT] department offer?
+How do you sign up to be a [DEPT] tutor?
+What accreditations does [DEPT] have?
+What college does [DEPT] belong to?
+What positions are available in [DEPT]?
+Can I get a job at Cal Poly in [DEPT]?
+Who is the advisor of the [CLUB] club?
+What is the email of the President of the [CLUB] club?
+What type of club is the [CLUB] club?
+What is the email for the advisor of the [CLUB] club?
+What is the [CLUB] club?
+What is the homepage of the [CLUB] club?
+What is the box number of the [CLUB] club?
+What is the email for the [CLUB] club?
+What are the social media accounts for the [CLUB] club?
+How many people follow the [CLUB] club's Facebook page?
+Are there any new posts on the [CLUB] club's Facebook page?
+What is the next event for [CLUB]?
+When is the next event for [CLUB]?
+Who are the officers for [CLUB] club?
+When are the meetings for [CLUB] club?
+When is the next meeting for [CLUB] club?
+Where is [CLUB] located?
+Does [CLUB] have their own room?
+What college is affiliated with the [CLUB] club?
+What are some past events of the [CLUB] club?
+What was the last event of the [CLUB] club?
+When was the last event of [CLUB] club?
+Who is the president of the [CLUB] club?
+Who is the vice president of the [CLUB] club?
+Who is the secretary of the [CLUB] club?
+Who is the treasurer of the [CLUB] club?
+How can I contact [CLUB]?
+What is the phone number of the President of the [CLUB] club?
+What is the phone number of the Advisor of the [CLUB] club?
+How many people posted on the [CLUB] club's Facebook page in the past 30 days?
+How many people joined the [CLUB] club's Facebook page in the past 30 days?
+What resources are used by the [CLUB] club?
+How many followers does the [CLUB] club's Instagram account have?
+How many accounts does the [CLUB]'s Instagram follow?
+When was the [CLUB] established?
+Does the [CLUB] have an office?
+Where is the office of the [CLUB]?
+How many officers does the [CLUB] have?
+How many teams does the [CLUB] have?
+Where will the next event of the [CLUB] be held?
+When will the next event of the [CLUB] be held?
+How many events does the [CLUB] have next week?
+What is the next event of the [CLUB]?
+What is the website link for [CLUB]?
+Is there a website for [CLUB]?
+How do I learn more about [CLUB]?
+What does [CLUB] do?
+Who should I contact for [CLUB]?
+Is there a contact for [CLUB]?
+What is the location of [CLUB]?
+Where is [CLUB]?
+Where can I visit [CLUB] online?
+What is the URL for [CLUB]?
+Can you describe the [CLUB]?
+Could you give me a brief overview of [CLUB]?
+Who is the chief contact for [CLUB]?
+Who should I get in touch with for [CLUB]?
+What is the general contact information for [CLUB]?
+Who is the club adviser for [CLUB]?
+What teachers teach a class in [SECRET_HIDEOUT]?
+Which classes are taught in [SECRET_HIDEOUT]?
+Do any teachers have office hours in [SECRET_HIDEOUT]?
+What professors have offices in [SECRET_HIDEOUT]?
+Which professors have office hours in [SECRET_HIDEOUT]?
+Who are the professors with office hours in [SECRET_HIDEOUT]?
+Whose office is in [SECRET_HIDEOUT]?
+Which professors have offices in building [SECRET_HIDEOUT]?
+How many professors have offices in building [SECRET_HIDEOUT]?
diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
new file mode 100644
index 0000000..37c493a
--- /dev/null
+++ b/nimbus_nlp/save_and_load_model.py
@@ -0,0 +1,39 @@
+import os
+import numpy as np
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.feature_extraction import DictVectorizer
+from sklearn import svm
+from sklearn.externals import joblib
+import pickle
+from datetime import datetime
+from os import listdir
+from os.path import isfile, join
+import re
+
+PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
+now = datetime.now()
+date_time = now.strftime("_%m_%d_%Y_%H_%M_%S")
+
+
+def save_model(model, model_name):
+    save_path = PROJECT_DIR + '/models/classification/' + model_name + date_time + '.pkl'
+    f = open(save_path, 'wb')
+    pickle.dump(model, f)
+    f.close()
+    print('Saved model :', save_path)
+
+
+def load_model(model_name):
+    train_path = PROJECT_DIR + '/models/classification/' + model_name + '.joblib'
+    return joblib.load(train_path)
+
+def load_latest_model():
+    train_path = PROJECT_DIR + '/models/classification/'
+    onlyfiles = [f for f in listdir(train_path) if isfile(join(train_path, f))]
+    r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+_[\d]+_[\d]+)', f)[0], '%m_%d_%Y_%H_%M_%S')) for f in onlyfiles]
+    r = sorted(r, key=lambda x: x[1])
+    model_path = r[-1][0]
+    return joblib.load(train_path + model_path)
+
+
diff --git a/q_a_pairs.csv b/q_a_pairs.csv
new file mode 100644
index 0000000..4b2cb8f
--- /dev/null
+++ b/q_a_pairs.csv
@@ -0,0 +1,136 @@
+answer_format,question_format
+[COURSE..desc].,What is [COURSE] about?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Which courses are required to be taken before [COURSE]?
+[COURSE] counts for [COURSE..units].,How many units does [COURSE] count towards?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] typically offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,During what quarters is [COURSE] typically offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] going to be offered next quarter?
+[COURSE] is [COURSE..units] units.,Is [COURSE] a 4 unit class?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,What terms is [COURSE] typically offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Which terms is [COURSE] offered?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I have to take before [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I have to take before [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the recommended prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the recommended prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I need in order to take [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+ [COURSE..desc].,What is [COURSE] about?
+[COURSE..desc].,What is [COURSE] about?
+[COURSE..desc].,What topics are covered in [COURSE]?
+[COURSE..desc].,What topics are covered in [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is the course title for [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is [COURSE] also called?
+The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
+The title for [COURSE] is [COURSE..courseNum].,What is the course code for [COURSE]?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,How many times is [COURSE] offered per year?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] available?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When can I take [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units does [COURSE] have?
+[COURSE] is [COURSE..units] units.,How many units does [COURSE] fulfill?
+[COURSE] fulfills [COURSE..ge_areas],What does [COURSE] fulfill?
+[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill anything?
+[COURSE] fulfills [COURSE..ge_areas],What requirements does [COURSE] fulfill?
+[COURSE] fulfills [COURSE..ge_areas],How many lectures does [COURSE] have?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any prerequisites?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,How many prerequisites does [COURSE] have?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Are there any prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What courses do you need to take before taking [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any preqs?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered this quarter?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Can I take [COURSE] this quarter?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When's the next time I can take [COURSE]?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered soon?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When has [COURSE] been offered?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What class is [COURSE]?
+[COURSE] is about [COURSE..description].,What is the description of [COURSE]?
+[COURSE] is about [COURSE..description].,What do you learn in [COURSE]?
+[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill any GE requirements?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,How many prerequisite classes are needed for me to take [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] require any MATH classes?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered next quarter?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have non-statistics prerequisites?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have non-statistics and non-math prerequisites?
+[COURSE..desc].,What is [COURSE]?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] typically offered?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is about [COURSE..desc].,What class is [COURSE]?
+[COURSE] is about [COURSE..desc].,What will I learn in [COURSE]?
+[COURSE] is about [COURSE..desc].,What class is [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What courses are needed to take [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is [COURSE..units] units.,How much credits is [COURSE] worth?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] offered?
+The number for [COURSE] is [COURSE..number],What is the number for [COURSE]?
+[COURSE] is about [COURSE..information].,What is the description for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any non CS/SE prerequisites?
+The corequisites for [COURSE] are [COURSE..raw_concurrent_text],Does [COURSE] have any corequisites?
+The corequisites for [COURSE] are [COURSE..raw_concurrent_text],Does [COURSE] have any concurrent enrollements?
+The number for [COURSE] is [COURSE..number],How is [COURSE] listed?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Which quarter is [COURSE] typically offered?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have a prerequisite from another department?
+The number for [COURSE] is [COURSE..number],What course number does [COURSE] have?
+[COURSE..number] is [COURSE],What course name does [COURSE] have?
+[COURSE..raw_recommended_text] are recommended for [COURSE],Are there any recommended classes for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] require consent of instructor?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Which departments does [COURSE] have prerequisites in?
+[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill any GE requirements?
+[PROF] has expertise in [PROF..research_interests].,What are [PROF]'s research areas?
+[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
+[PROF]'s email is [PROF..email].,What is [PROF]'s email?
+[PROF]'s email is [PROF..email].,How can I email [PROF]?
+[PROF]'s email is [PROF..email].,What is the email of [PROF]?
+[PROF]'s email is [PROF..email].,Is [PROF]'s email listed?
+[PROF]'s first name is [PROF..first_name],What is professor [PROF]'s first name?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
+[PROF]'s phone number is [PROF..phoneNumber].,What is the phone number for [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,Does [PROF] have a phone number listed?
+[PROF]'s phone number is [PROF..phoneNumber].,Is there a phone number listed for [PROF]?
+[PROF] has expertise in [PROF..research_interests].,What are the research interests of [PROF]?
+[PROF] has expertise in [PROF..research_interests].,What research areas are [PROF] interested in?
+[PROF] has expertise in [PROF..research_interests].,What is [PROF] researching?
+[PROF]'s email is [PROF..email].,What is [PROF]'s email?
+[PROF]'s email is [PROF..email].,How can I contact [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s contact information?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
+[PROF]'s phone number is [PROF..phoneNumber].,What number do I call to reach [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,How can I reach [PROF]?
+[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
+[PROF]'s office is [PROF..office].,In what room is [PROF]'s office?
+[PROF]'s email is [PROF..email].,What is the email address of [PROF]?
+[PROF]'s office is [PROF..office].,What is the office of [PROF]?
+[PROF]'s office is [PROF..office].,When can I visit [PROF]'s office?
+[PROF]'s email is [PROF..email].,What is the email of [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
+[PROF]'s phone number is [PROF..phoneNumber].,What is the phone number of [PROF]?
+[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
+[PROF]'s office is [PROF..office].,What building is [PROF]'s office in?
+[PROF] has expertise in [PROF..researchInterests].,Does [PROF] have any areas of research?
+[CLUB] is a [CLUB..types] club.,What type of club is the [CLUB] club?
+[CLUB..desc].,What is the [CLUB] club?
+[CLUB]'s box number is [CLUB..box],What is the box number of the [CLUB] club?
+[CLUB] can contacted by emailing [CLUB..contact_email],What is the email for the [CLUB] club?
+[CLUB] is affiliated with [CLUB..affiliation],What college is affiliated with the [CLUB] club?
+[CLUB] can be contacted at [CLUB..contact_email],How can I contact [CLUB]?
+[CLUB]'s person of contact is [CLUB..contact_person].,What is the phone number of the President of the [CLUB] club?
+The phone number of [CLUB..advisor] is [CLUB..advisor_phone],What is the phone number of the Advisor of the [CLUB] club?
+[CLUB]'s contact information is [CLUB..contact_email].,How do I learn more about [CLUB]?
+[CLUB..desc].,What does [CLUB] do?
+[CLUB]'s person of contact is [CLUB..contact_person].,Who should I contact for [CLUB]?
+[CLUB]'s person of contact is [CLUB..contact_person].,Is there a contact for [CLUB]?
+[CLUB..desc].,Can you describe the [CLUB]?
+[CLUB..desc].,Could you give me a brief overview of [CLUB]?
+[CLUB]'s advisor is [CLUB..advisor].,Who is the chief contact for [CLUB]?
+[CLUB]'s person of contact is [CLUB..contact_person].,Who should I get in touch with for [CLUB]?
+[CLUB]'s contact information is [CLUB..contact_email].,What is the general contact information for [CLUB]?
+[CLUB]'s advisor is [CLUB..advisor].,Who is the club adviser for [CLUB]?
\ No newline at end of file

From ffd3d98ba1d0b1c9b3e46d004c0e637f773a0bb0 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Fri, 28 Feb 2020 15:32:57 -0800
Subject: [PATCH 115/272] working ask endpoint

---
 .gitignore                                    |   1 +
 QA.py                                         | 172 +++++-
 database_wrapper.py                           |  18 +-
 flask_api.py                                  |   6 +-
 nimbus.py                                     |  31 +
 nimbus_nlp/NIMBUS_NLP.py                      | 185 ++++++
 .../nlp-model_02_23_2020_14_52_48.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_23_2020_14_53_28.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_37_02.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_39_24.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_45_29.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_57_43.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_24_2020_23_59_57.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_00_38.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_01_30.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_25_2020_00_03_40.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_20_30_27.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_20_32_32.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_21_08_26.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_24_13.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_33_03.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_34_28.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_42_43.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_50_04.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_51_10.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_53_51.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_27_2020_23_56_20.pkl         | Bin 0 -> 7774491 bytes
 .../nlp-model_02_28_2020_00_00_28.pkl         | Bin 0 -> 3588699 bytes
 .../nlp-model_02_28_2020_00_11_52.pkl         | Bin 0 -> 3579755 bytes
 .../models/features/overall_features.json     |   1 +
 nimbus_nlp/question_classifier.py             | 281 ++++++++++
 nimbus_nlp/question_set_clean.csv             | 529 ++++++++++++++++++
 nimbus_nlp/save_and_load_model.py             |  39 ++
 q_a_pairs.csv                                 | 136 +++++
 34 files changed, 1390 insertions(+), 9 deletions(-)
 create mode 100644 nimbus.py
 create mode 100644 nimbus_nlp/NIMBUS_NLP.py
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_02_28_2020_00_11_52.pkl
 create mode 100644 nimbus_nlp/models/features/overall_features.json
 create mode 100644 nimbus_nlp/question_classifier.py
 create mode 100644 nimbus_nlp/question_set_clean.csv
 create mode 100644 nimbus_nlp/save_and_load_model.py
 create mode 100644 q_a_pairs.csv

diff --git a/.gitignore b/.gitignore
index 1e4059d..63092c6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -116,3 +116,4 @@ credentials.json
 folder_id.txt
 settings.yaml
 .export_env_vars
+auth.json
diff --git a/QA.py b/QA.py
index 66bdd7e..250b065 100644
--- a/QA.py
+++ b/QA.py
@@ -1,4 +1,13 @@
 from typing import Callable, Dict, Any
+import functools
+import re
+from Entity.Courses import Courses
+from Entity.Locations import Locations
+from Entity.Professors import Professors
+from Entity.Clubs import Clubs
+from Entity.Sections import Sections
+from database_wrapper import NimbusMySQLAlchemy
+from pandas import read_csv
 
 Extracted_Vars = Dict[str, Any]
 DB_Data = Dict[str, Any]
@@ -6,12 +15,25 @@
 Answer_Formatter = Callable[[Extracted_Vars, DB_Data], str]
 
 
+tag_lookup = {
+    'PROF': Professors,
+    'CLUB': Clubs,
+    'COURSE': Courses,
+    'SECRET_HIDEOUT': Locations,
+    'SECTION': Sections
+}
+
+# TODO: Initialize this somewhere else. Currently here because of _get_property()
+# Move into the Nimbus class below if possible.
+db = NimbusMySQLAlchemy()
+
+
 class QA:
     """
     A class for wrapping functions used to answer a question.
     """
 
-    def __init__(self, q_format, db, db_query, format_function):
+    def __init__(self, q_format, db_query, format_answer):
         """
         Args:
             q_format (str): Question format string
@@ -24,20 +46,22 @@ def __init__(self, q_format, db, db_query, format_function):
                 data retrieved from the database--and returns a str.
         """
         self.q_format = q_format
-        self.db = db
         self.db_query = db_query
-        self.format_function = format_function
+        self.format_answer = format_answer
 
     def _get_data_from_db(self, extracted_vars):
         return self.db_query(extracted_vars)
 
     def _format_answer(self, extracted_vars, db_data):
-        return self.format_function(extracted_vars, db_data)
+        return self.format_answer(extracted_vars, db_data)
 
     def answer(self, extracted_vars):
         db_data = self._get_data_from_db(extracted_vars)
         return self._format_answer(extracted_vars, db_data)
 
+    def __repr__(self):
+        return self.q_format
+
     def __hash__(self):
         return hash(self.q_format)
 
@@ -51,3 +75,143 @@ def create_qa_mapping(qa_list):
         qa_list (list(QA))
     """
     return {qa.q_format: qa for qa in qa_list}
+
+
+# def _string_sub(a_format, extracted_vars, db_data):
+#     """
+#     Substitutes values in a string based off the contents of the extracted_vars
+#     and db_data dictionaries. Keys from the dictionaries in the a_format string
+#     will be replaced with their associated value.
+#
+#     Example input/output:
+#         a_format: "{professor1_ex}'s office is {office1_db}."
+#         extracted_vars: {"professor1": "Dr. Khosmood"}
+#         db_data: {"office1": "14-213"}
+#
+#         "Dr. Khosmood's office is 14-213"
+#
+#     Args:
+#         a_format (str): String to be formatted. Variables to be substituted should
+#             be in curly braces and end in "_ex" for keys from extracted_vars and "_db"
+#             for keys from db_data.
+#         extracted_vars (Extracted_Vars)
+#         db_data (Db_Data)
+#
+#     Returns:
+#         A formatted answer string
+#     """
+#     # Adds "_ex" to the end of keys in extracted_vars
+#     extracted_vars = {
+#         k + "_ex": v for k, v in extracted_vars.items()
+#     }
+#     # Adds "_db" to the end of keys in db_data
+#     db_data = {
+#         k + "_db": v for k, v in db_data.items()
+#     }
+#     return a_format.format(**extracted_vars, **db_data)
+#
+#
+# def _single_var_string_sub(a_format, extracted_vars, db_data):
+#     """
+#     Like _string_sub for cases where there's max one item in either dict
+#
+#     Example input/output:
+#         a_format: "{ex}'s office is {db}."
+#         extracted_vars: {"professor1": "Dr. Khosmood"}
+#         db_data: {"office1": "14-213"}
+#
+#         "Dr. Khosmood's office is 14-213"
+#
+#     Args:
+#         a_format (str): String to be formatted. {ex} will be substituted with
+#             the value from extracted_vars and {db} will be substituted with the
+#             value from db_data
+#         extracted_vars (Extracted_Vars)
+#         db_data (Db_Data)
+#
+#     Returns:
+#         A formatted answer string
+#     """
+#     # Gets value from a dictionary with a single item
+#     ex_val = next(iter(extracted_vars.values())) if extracted_vars else ''
+#     db_val = next(iter(db_data.values())) if db_data else ''
+#     return a_format.format(ex=ex_val, db=db_val)
+#
+#
+# def string_sub(a_format):
+#     return functools.partial(_string_sub, a_format)
+#
+#
+# def single_var_string_sub(a_format):
+#     return functools.partial(_single_var_string_sub, a_format)
+
+
+def _string_sub(a_format, extracted_info, db_data):
+    if db_data is None:
+        return None
+    else:
+        return a_format.format(ex=extracted_info['normalized entity'], db=db_data)
+
+
+def string_sub(a_format):
+    return functools.partial(_string_sub, a_format)
+
+
+def _get_property(prop, extracted_info):
+    ent_string = extracted_info["normalized entity"]
+    ent = tag_lookup[extracted_info['tag']]
+    try:
+        value = db.get_property_from_entity(prop=prop, entity=ent, identifier=ent_string)
+    except IndexError:
+        return None
+    else:
+        return value
+
+
+def get_property(prop):
+    return functools.partial(_get_property, prop)
+
+
+def _yes_no(a_format, pred, extracted_info, db_data):
+    if pred is None:
+        result = 'Yes' if db_data else 'No'
+    elif type(pred) == str:
+        result = 'Yes' if re.search(pred, db_data) else 'No'
+    else:
+        result = 'Yes' if pred(db_data) else 'No'
+    return a_format.format(y_n=result, yes_no=result, ex=extracted_info['normalized entity'])
+
+
+def yes_no(a_format, pred=None):
+    return functools.partial(_yes_no, a_format, pred)
+
+
+def generate_fact_QA(csv):
+    df = read_csv(csv)
+    text_in_brackets = r'\[[^\[\]]*\]'
+    qa_objs = []
+    for i in range(len(df)):
+        q = df['question_format'][i]
+        a = df['answer_format'][i]
+        matches = re.findall(text_in_brackets, a)
+        extracted = None
+        if len(matches) == 1:
+            db_data = matches[0]
+        elif '..' in matches[1]:
+            db_data = matches[1]
+            extracted = matches[0]
+        else:
+            db_data = matches[0]
+            extracted = matches[1]
+        prop = db_data.split('..', 1)[1][0:-1]
+        a = a.replace(db_data, '{db}')
+        if extracted is not None:
+            a = a.replace(extracted, '{ex}')
+        o = QA(
+            q_format=q,
+            db_query=get_property(prop),
+            format_answer=string_sub(a)
+        )
+        qa_objs.append(o)
+
+    return qa_objs
diff --git a/database_wrapper.py b/database_wrapper.py
index 18747f4..74b6b19 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -36,6 +36,15 @@
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
+default_tag_column_dict = {
+    Calendars: {"date"},
+    Courses: {"courseName", "courseNum", "dept"},
+    Locations: {"building_number", "name"},
+    Professors: {"firstName", "lastName"},
+    Clubs: {"club_name"},
+    Sections: {"section_name"}
+}
+
 
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
@@ -379,7 +388,8 @@ def full_fuzzy_match(self, tag_value, identifier):
 
 
     def get_property_from_entity(
-        self, prop: str, entity: UNION_ENTITIES, identifier: str, tag_column_map: dict
+        self, prop: str, entity: UNION_ENTITIES, identifier: str,
+        tag_column_map: dict = default_tag_column_dict
     ):
         """
         This function implements the abstractmethod to get a column of values
@@ -422,11 +432,11 @@ def get_property_from_entity(
             total_similarity = 0
             tags = []
             for tag_prop in tag_props:
-                total_similarity += self.full_fuzzy_match(row.__dict__[tag_prop], identifier)
-                tags.append(row.__dict__[tag_prop])
+                total_similarity += self.full_fuzzy_match(str(row.__dict__[tag_prop]), identifier)
+                tags.append(str(row.__dict__[tag_prop]))
 
             if total_similarity > MATCH_THRESHOLD:
-                results.append((total_similarity, tags, row.__dict__[prop]))
+                results.append((total_similarity, tags, str(row.__dict__[prop])))
 
         if len(results) < 1:
             return None
diff --git a/flask_api.py b/flask_api.py
index 19c0d86..d6478c5 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -16,6 +16,8 @@
 from modules.formatters import WakeWordFormatter
 from modules.validators import WakeWordValidator, WakeWordValidatorError
 
+from nimbus import Nimbus
+
 BAD_REQUEST = 400
 SUCCESS = 200
 
@@ -24,6 +26,8 @@
 app = Flask(__name__)
 CORS(app)
 
+# TODO: Initialize this somewhere else.
+nimbus = Nimbus()
 
 @app.route('/', methods=['GET', 'POST'])
 def hello():
@@ -60,7 +64,7 @@ def handle_question():
         return "request body should include the question", BAD_REQUEST
 
     response = {
-        "answer": "answer of <<{}>>".format(question),
+        "answer": nimbus.answer_question(question)
     }
 
     if "session" in request_body:
diff --git a/nimbus.py b/nimbus.py
new file mode 100644
index 0000000..2ef8f87
--- /dev/null
+++ b/nimbus.py
@@ -0,0 +1,31 @@
+from QA import create_qa_mapping, generate_fact_QA
+from nimbus_nlp.NIMBUS_NLP import NIMBUS_NLP
+
+
+class Nimbus:
+
+    def __init__(self):
+        self.qa_dict = create_qa_mapping(
+            generate_fact_QA("q_a_pairs.csv")
+        )
+
+    def answer_question(self, question):
+        ans_dict = NIMBUS_NLP.predict_question(question)
+        print(ans_dict)
+        try:
+            qa = self.qa_dict[ans_dict["question class"]]
+        except KeyError:
+            return "I'm sorry, I don't understand. Please try another question."
+        else:
+            answer = qa.answer(ans_dict)
+            if answer is None:
+                return("I'm sorry, I understand your question but was unable to find an answer. "
+                       "Please try another question.")
+            else:
+                return answer
+
+if __name__ == "__main__":
+    nimbus = Nimbus()
+    while True:
+        question = input("Enter a question: ")
+        print(nimbus.answer_question(question))
\ No newline at end of file
diff --git a/nimbus_nlp/NIMBUS_NLP.py b/nimbus_nlp/NIMBUS_NLP.py
new file mode 100644
index 0000000..66942bf
--- /dev/null
+++ b/nimbus_nlp/NIMBUS_NLP.py
@@ -0,0 +1,185 @@
+import nltk
+import numpy as np
+import os
+import pandas as pd
+import re
+import sklearn.neighbors
+import spacy
+import sys
+
+from google.api_core.client_options import ClientOptions
+from google.cloud import automl_v1
+from google.cloud.automl_v1.proto import service_pb2
+
+# Temporary import for the classifier
+from nimbus_nlp.question_classifier import QuestionClassifier
+
+class NIMBUS_NLP:
+
+    @staticmethod
+    def predict_question(input_question):
+        '''
+        Runs through variable extraction and the question classifier to
+        predict the intended question.
+
+        Args: input_question (string) - user input question to answer
+
+        Return: nlp_props (dict) - contains the user's input question,
+                                   the variable extracted input question,
+                                   the entity extracted, and the predicted
+                                   answer
+
+        '''
+
+        # Instantiate the variable extraction class
+        variable_extraction = Variable_Extraction()
+
+        # Obtain the properties from variable extraction
+        nlp_props = variable_extraction.extract_variables(input_question)
+
+        # Instantiate the question classifier class
+        classifier = QuestionClassifier()
+        classifier.load_latest_classifier()
+        
+        # Classify the question and add it to the nlp properties dictionary 
+        nlp_props["question class"] = classifier.\
+                classify_question(nlp_props["normalized question"])
+        
+        return nlp_props
+    
+
+class Variable_Extraction:
+    def __init__(self):
+
+        self.model_name = "projects/550037488827/locations/us-central1/models/TEN122771468357468160"
+        credential_path = os.getcwd() + "/auth.json"
+        os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
+
+    def inline_text_payload(self, sent):
+        '''
+        Converts the input sentence into GCP's callable format
+
+        Args: sent (string) - input sentence
+
+        Return: (dict) - GCP NER input format
+
+        '''
+
+        return {'text_snippet': {'content': sent, 'mime_type': 'text/plain'} }
+
+    def get_prediction(self, sent):
+        '''
+        Obtains the prediction from the input sentence and returns the
+        normalized sentence
+
+        Args: sent (string) - input sentence
+
+        Return: request (PredictObject) - predictiton output
+        ''' 
+        
+        params = {}
+        
+        # Setup API 
+        options = ClientOptions(api_endpoint='automl.googleapis.com')
+        
+        # Create prediction object
+        predictor = automl_v1.PredictionServiceClient(client_options=options)
+
+        # Format input sentence
+        payload = self.inline_text_payload(sent)
+        
+        # Make prediction API call
+        request = predictor.predict(self.model_name, payload, params)
+
+        # Return the output of the API call
+        return request
+
+    def extract_variables(self, sent):
+        '''
+        Takes the prediction and replaces the entity with its corresponding tag
+
+        Args: sent (string) - input sentence
+
+        Return: (dict) -    "entity" - extracted entity 
+                            "tag" - tag of the extracted entity 
+                            "normalized entity" - stripped entity
+                            "input question" - input question from the user
+                            "normalized question" - variable-replaced question
+        '''
+
+        # Make the prediction
+        request = self.get_prediction(sent)
+
+        # Obtain the entity in the sentence
+        entity = request.payload[0].text_extraction.text_segment.content 
+        
+        # Obtain the predicted tag 
+        tag = request.payload[0].display_name
+
+        # Removes excessive words from the entity
+        normalized_entity = Variable_Extraction.excess_word_removal(entity, tag)
+
+        # Replaces the entity of input question with its corresponding tag
+        normalized_question = sent.replace(entity, '[' + tag + ']')
+        
+        return {
+                    "entity"                : entity,
+                    "tag"                   : tag,
+                    "normalized entity"     : normalized_entity,
+                    "input question"        : sent,
+                    "normalized question"   : normalized_question
+               }
+
+    @staticmethod    
+    def excess_word_removal(entity, tag):
+        '''
+        Checks the tag and determines which excess word removal function to use
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: (string) - returns the normalized entity string
+
+        '''
+
+        if (tag == 'PROF'):
+            return Variable_Extraction.strip_titles(entity)
+
+        else:
+            return entity
+
+    @staticmethod
+    def strip_titles(entity):
+        '''
+        Strips titles from input entities
+
+        Args: entity (string) - extracted entity from the input question
+
+        Return: norm_entity (string) - the normalized, title-stripped entity
+
+        '''
+
+        # list of titles for removal
+        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.",\
+                  "mr.", "ms.", "mrs", "mr", "ms", "mister"}
+
+        # tokenizes the entity
+        for name in entity.split():
+
+            # checks each token with the titles set and replaces the title
+            # if it is within the word
+            if name.lower() in titles:
+                return entity.replace(name + " ", "")
+
+        # returns the original entity string 
+        # if there is no title in the word
+        return entity
+
+#TODO: Add the Question_Classifier code directly into this file
+class Question_Classifier:
+    pass
+
+if __name__ == '__main__':
+    while True:
+        question = input("Enter a question: ")
+        answer = NIMBUS_NLP.predict_question(question)
+        print(answer)
diff --git a/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl b/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl b/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl b/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl b/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl b/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl b/nimbus_nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl b/nimbus_nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl
new file mode 100644
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diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
new file mode 100644
index 0000000..45b5372
--- /dev/null
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -0,0 +1 @@
+{"[COURSE]": 0, "is": 0, "what": 0, "are": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "have": 0, "prereq": 0, "major": 0, "avoid": 0, "section": 0, "time": 0, "next": 0, "quarter": 0, "offered": 0, "how": 0, "many": 0, "offer": 0, "count": 0, "unit": 0, "towards": 0, "when": 0, "typically": 0, "going": 0, "go": 0, "tutuoring": 0, "tutuor": 0, "Is": 0, "information": 0, "currently": 0, "4": 0, "class": 0, "prerequisite": 0, "term": 0, "consent": 0, "instructor": 0, "get": 0, "recommend": 0, "need": 0, "order": 0, "upper": 0, "divisional": 0, "c": 0, "good": 0, "short": 0, "path": 0, "stand": 0, "people": 0, "limit": 0, "total": 0, "credit": 0, "select": 0, "tech": 0, "elective": 0, "structure": 0, "crosslist": 0, "another": 0, "department": 0, "grade": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "include": 0, "group": 0, "work": 0, "project": 0, "base": 0, "build": 0, "similar": 0, "consider": 0, "pass": 0, "fail": 0, "hour": 0, "week": 0, "spent": 0, "much": 0, "spend": 0, "per": 0, "year": 0, "In": 0, "available": 0, "fulfill": 0, "one": 0, "requirement": 0, "use": 0, "anything": 0, "lecture": 0, "COURSE": 0, "make": 0, "lab": 0, "Are": 0, "instead": 0, "alternative": 0, "Have": 0, "something": 0, "else": 0, "substitute": 0, "stat": 0, "-PRON-": 0, "preqs": 0, "statistic": 0, "necessary": 0, "degree": 0, "'s": 0, "soon": 0, "help": 0, "minor": 0, "contribute": 0, "ever": 0, "description": 0, "learn": 0, "usually": 0, "ge": 0, "needed": 0, "classes": 0, "list": 0, "math": 0, "approval": 0, "graduate": 0, "level": 0, "undergraduate": 0, "non": 0, "part": 0, "datum": 0, "science": 0, "teach": 0, "teacher": 0, "taught": 0, "past": 0, "programming": 0, "experience": 0, "taken": 0, "flowchart": 0, "open": 0, "who": 0, "high": 0, "rank": 0, "teaching": 0, "low": 0, "complete": 0, "last": 0, "workshop": 0, "study": 0, "session": 0, "worth": 0, "number": 0, "comes": 0, 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"digital": 0, "common": 0, "Has": 0, "written": 0, "advised": 0, "senior": 0, "advise": 0, "whose": 0, "length": 0, "published": 0, "journal": 0, "papers": 0, "contact": 0, "reach": 0, "room": 0, "find": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "shares": 0, "share": 0, "anyone": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "position": 0, "member": 0, "moment": 0, "place": 0, "campus": 0, "professional": 0, "distinction": 0, "bs": 0, "master": 0, "doctorate": 0, "day": 0, "neighbor": 0, "be": 0, "recognize": 0, "difficulty": 0, "present": 0, "material": 0, "clearly": 0, "give": 0, "polylearn": 0, "[MMC]": 0, "mathematic": 0, "support": 0, "option": 0, "approve": 0, "technical": 0, "external": 0, "taking": 0, "gre": 0, "acceptance": 0, "1": 0, "availabe": 0, "satisfy": 0, "pre": 0, "requisite": 0, "obtain": 0, "blended": 0, "ms": 0, "concentration": 0, "life": 0, "optional": 0, "skip": 0, "ap": 0, "ib": 0, "adds": 0, "add": 0, "least": 0, "amount": 0, "graduation": 0, 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\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
new file mode 100644
index 0000000..d8755c6
--- /dev/null
+++ b/nimbus_nlp/question_classifier.py
@@ -0,0 +1,281 @@
+import re
+import nltk
+import spacy
+import numpy as np
+import sklearn.neighbors
+import pandas as pd
+import sys
+import json
+from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
+
+# TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
+
+
+class QuestionClassifier:
+    def __init__(self):
+        self.classifier = None
+        self.nlp = spacy.load('en_core_web_sm')
+        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
+        self.overall_features = {}
+
+    def train_model(self):
+        self.save_model = save_model
+
+
+        # REPLACE WITH API EVENTUALLY
+        self.file_path = "question_set_clean.csv"
+
+        # The possible WH word tags returned through NLTK part of speech tagging
+
+
+        self.classifier = self.build_question_classifier()
+        save_model(self.classifier, "nlp-model")
+
+
+    def load_latest_classifier(self):
+        self.classifier = load_latest_model()
+        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'r') as fp:
+            self.overall_features = json.load(fp)
+
+    def get_question_features(self, question):
+        # print("using new algorithm")
+        """
+        Method to extract features from each individual question.
+        """
+        features = {}
+
+        # Extract the main verb from the question before additional processing
+        main_verb = str(self.extract_main_verb(question))
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
+        stemmed_main_verb = self.nlp(main_verb)[0]
+        features[stemmed_main_verb.text] = 60
+
+        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
+        # WITH WEIGHT 60
+        words_pos = nltk.pos_tag(filtered_words)
+        for word_pos in words_pos:
+            if self.is_wh_word(word_pos[1]):
+                features[word_pos[0]] = 60
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
+            if word not in features:
+                features[word] = 30
+
+        return features
+
+    def get_question_features_old_algorithm(self, question):
+        print("using old algorithm....")
+        """
+            Method to extract features from each individual question.
+            """
+        features = {}
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+        filtered_words = self.get_lemmas(words)
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        features[filtered_words[0]] = 60
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            features[word] = 30
+
+        return features
+
+    # EXTRACTS THE MAIN VERB FROM A QUESTION USING THE DEPENDENCY TREE
+    # THE MAIN VERB OF THE QUESTION SHOULD BE THE ROOT OF THE TREE
+    # Note: this method of extracting the main verb is not perfect, but
+    # for single sentence questions that should have no ambiguity about the main verb,
+    # it should be sufficient.
+    def extract_main_verb(self, question):
+        doc = self.nlp(question)
+        sents = list(doc.sents)
+        if len(sents) == 0:
+            raise ValueError("Empty question")
+
+        return sents[0].root
+
+    def get_lemmas(self, words):
+        return [self.nlp(word)[0].lemma_ for word in words]
+
+    def is_wh_word(self, pos):
+        return pos in self.WH_WORDS
+
+    def build_question_classifier(self):
+        """
+        Build overall feature set for each question based on feature vectors of individual questions.
+        Train KNN classification model with overall feature set.
+        """
+
+        # READ QUESTIONS
+        questions = pd.read_csv('question_set_clean.csv')
+        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
+        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
+
+        question_features = questions['features'].values.tolist()
+
+        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
+        for feature in question_features:
+            for key in feature:
+                if key not in self.overall_features:
+                    self.overall_features[key] = 0
+        self.overall_features["not related"] = 0
+
+
+        vectors = []
+        for feature in question_features:
+            vector = dict.fromkeys(self.overall_features, 0)
+            for key in feature:
+                vector[key] = feature[key]
+            vectors.append(np.array(list(vector.values())))
+
+        y_train = questions['questionFormat']
+        vectors = np.array(vectors)
+        y_train = np.array(y_train)
+        new_classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
+        new_classifier.fit(vectors, y_train)
+
+        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'w') as fp:
+            json.dump(self.overall_features, fp)
+
+        return new_classifier
+
+    def filterWHTags(self, question):
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        question_tags = nltk.pos_tag(filtered_words)
+        question_tags = [
+            tag for tag in question_tags if self.is_wh_word(tag[1])]
+        return question_tags
+
+    def validate_WH(self, test_question, predicted_question):
+        """
+        Assumes that only 1 WH word exists
+        Returns True if the WH word in the test question equals the
+        WH word in the predicted question
+        """
+
+        test_tags = self.filterWHTags(test_question)
+        predicted_tags = self.filterWHTags(predicted_question)
+
+        # Uncomment these lines below to see
+        # print("Test")
+        # print(test_tags)
+        # print()
+
+        # print("Predicted")
+        # print(predicted_tags)
+        # print()
+
+        # Compares all WH words in the tags array and returns False if one doesn't match
+        min_tag_len = min(len(test_tags), len(predicted_tags))
+        wh_match = True
+        i = 0
+        while (wh_match and i < min_tag_len):
+            wh_match = wh_match and (test_tags[i][0] == predicted_tags[i][0])
+            i += 1
+        return wh_match
+
+    def classify_question(self, test_question):
+        """
+        Match a user query with a question in the database based on the classifier we trained and overall features we calculated.
+        Return relevant question.
+        """
+        if self.classifier is None:
+            raise ValueError("Classifier not initialized")
+
+        #if self.use_new:
+        test_features = self.get_question_features(test_question)
+        #else:
+        #    test_features = self.get_question_features_old_algorithm(
+        #        test_question)
+        test_vector = dict.fromkeys(self.overall_features, 0)
+        for key in test_features:
+            if key in test_vector:
+                test_vector[key] = test_features[key]
+            #else:
+                # IF A WORD IS NOT IN THE EXISTING FEATURE SET, IT MAY BE A QUESTION WE CANNOT ANSWER.
+            #    test_vector["not related"] += 250
+        test_vector = np.array(list(test_vector.values()))
+        test_vector = test_vector.reshape(1, -1)
+        min_dist = np.min(self.classifier.kneighbors(test_vector, n_neighbors=1)[0])
+        if min_dist > 150:
+            return "I don't think that's a Statistics related question! Try asking something about the STAT curriculum."
+
+        predicted_question = self.classifier.predict(test_vector)[0]
+
+        wh_words_match = self.validate_WH(test_question, predicted_question)
+        # Uncomment to print whether the WH words match
+        # print("WH Words Match?:", wh_words_match)
+
+        if (not wh_words_match):
+            return "WH Words Don't Match"
+
+        return predicted_question
+
+
+def main():
+    # use_new = False
+    # print(sys.argv)
+    # if len(sys.argv) > 1 and sys.argv[1] == 'new':
+    #     use_new = True
+    classifier = QuestionClassifier()
+    # print(classifier.get_question_features(
+    #     "What are Foaad Khosmood's office hours?"))
+    # print(classifier.get_question_features(
+    #     "Does Foaad Khosmood have office hours?"))
+    # print(classifier.get_question_features("Who teaches CSC 480"))
+    # print(classifier.get_question_features("CSC 480 is taught by who?"))
+    # print(classifier.get_question_features("Khosmood teaches CSC 480?"))
+    # print(classifier.get_question_features(
+    #     "Whose office hours are between 1 and 2 pm?"))
+    # print(classifier.get_question_features("Where is Franz Kurfess' office?"))
+    # print(classifier.get_question_features("This is a normal sentence."))
+    # print(classifier.get_question_features("[COURSE] is taught by who?"))
+    # print(classifier.get_question_features("How do I register for classes?"))
+    #classifier.train_model()
+    classifier.load_latest_classifier()
+    print(classifier.classify_question("Which [PROF] teaches [COURSE]?"))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/nimbus_nlp/question_set_clean.csv b/nimbus_nlp/question_set_clean.csv
new file mode 100644
index 0000000..33a34c8
--- /dev/null
+++ b/nimbus_nlp/question_set_clean.csv
@@ -0,0 +1,529 @@
+questionFormat
+What is [COURSE] about?
+What are the prereqs for [COURSE]?
+Which courses are required to be taken before [COURSE]?
+What courses have [COURSE] as a prereq?
+Which majors require [COURSE]?
+Which majors avoid [COURSE]?
+What are the sections times for [COURSE] next quarter?
+What are the sections times for [COURSE] this quarter?
+How many sections of [COURSE] are being offered this quarter?
+How many sections of [COURSE] are being offered next quarter?
+How many units does [COURSE] count towards?
+When is [COURSE] typically offered?
+During what quarters is [COURSE] typically offered?
+Is [COURSE] going to be offered next quarter?
+Is tutuoring offered for [COURSE]
+Is there any information on [COURSE]?
+Is [COURSE] currently offered?
+Is [COURSE] a 4 unit class?
+Does [COURSE] have any prerequisites?
+What terms is [COURSE] typically offered?
+Which terms is [COURSE] offered?
+Does [COURSE] require consent of instructor?
+Can I get into [COURSE] with instructor's consent?
+What are the prerequisites for [COURSE]?
+What classes do I have to take before [COURSE]?
+What are the recommended prerequisites for [COURSE]?
+What classes do I need in order to take [COURSE]?
+Which classes have [COURSE] as a prerequisite?
+Does [COURSE] have an upper divisional prerequisite?
+Do I need a C- or better in [COURSE] to take any other classes?
+What is the shortest path to taking [COURSE]?
+Which classes require [COURSE] standing?
+Which classes do not require [COURSE] standing?
+When do most people take [COURSE]?
+Is [COURSE] limited in total credit?
+Can I select [COURSE] as a tech elective?
+What is the structure of [COURSE]?
+How many units is [COURSE]?
+Is [COURSE] crosslisted in another department?
+Is [COURSE] credit/no credit grading only?
+What topics are covered in [COURSE]?
+What is the course title for [COURSE]?
+What is [COURSE] also called?
+What is the name of [COURSE]?
+What is the course code for [COURSE]?
+Does [COURSE] include group work?
+Is [COURSE] project based?
+What class should I take after [COURSE]?
+What classes build off [COURSE]?
+Which classes are most similar to [COURSE]?
+What classes should I take with [COURSE]?
+How many units do I need to take to be considered a [COURSE]?
+Can I take [COURSE] credit no credit?
+Can I take [COURSE] pass-fail?
+Is [COURSE] a required course?
+Do I have to take [COURSE]?
+How many hours a week is [COURSE]?
+How much time is spent in [COURSE] per week?
+How many times is [COURSE] offered per year?
+In how many quarters is [COURSE] offered?
+When is [COURSE] offered?
+When is [COURSE] available?
+When can I take [COURSE]?
+Does [COURSE] fulfill more than one requirement?
+Can I use [COURSE] to fulfill more than one requirement?
+How many units does [COURSE] have?
+How many units does [COURSE] fulfill?
+What does [COURSE] fulfill?
+Does [COURSE] fulfill anything?
+What requirements does [COURSE] fulfill?
+How many lectures does [COURSE] have?
+How many times a week does [COURSE] week?
+How many lectures make up [COURSE]?
+Does [COURSE] have a lab?
+Do I have to take a lab with [COURSE]?
+How many labs does [COURSE] have?
+How many prerequisites does [COURSE] have?
+Are there any prerequisites for [COURSE]?
+What classes can I take instead of [COURSE]?
+What are alternatives to [COURSE]?
+Are there any alternatives for [COURSE]?
+How many alternative does [COURSE] Have?
+Can I take something else instead of [COURSE]?
+What courses substitute [COURSE]?
+What STAT courses have [COURSE] as a prereq?
+What courses do you need to take before taking [COURSE]?
+Does [COURSE] have any preqs?
+Is [COURSE] being offered this quarter?
+Can I take [COURSE] this quarter?
+Do I need to take [COURSE] to major in Statistics?
+Is [COURSE] necessary to get a stats degree?
+When's the next time I can take [COURSE]?
+Is [COURSE] being offered soon?
+Does [COURSE] help me get a stats minor?
+Does [COURSE] contribute to my stats minor?
+Has [COURSE] ever been offered by the stats department?
+When has [COURSE] been offered?
+What class is [COURSE]?
+What is the description of [COURSE]?
+What do you learn in [COURSE]?
+What term is [COURSE] typically offered?
+When is [COURSE] usually offered?
+Does [COURSE] fulfill any GE requirements?
+How many prerequisite classes are needed for me to take [COURSE]?
+List classes below [COURSE].
+List classes above [COURSE].
+Does [COURSE] require any MATH classes?
+Which classes have a [COURSE] prerequisite?
+Does [COURSE] require instructor approval?
+Is [COURSE] being offered next quarter?
+Is [COURSE] a graduate level course?
+Is [COURSE] a undergraduate level course?
+Does [COURSE] have non-statistics prerequisites?
+Does [COURSE] have non-statistics and non-math prerequisites?
+Is [COURSE] part of the data science minor?
+What teachers teach [COURSE] this quarter?
+What teachers have taught [COURSE] in the past?
+Does [COURSE] require programming experience?
+When should [COURSE] be taken based on the stat flowchart?
+Are there sections for [COURSE] that are open next quarter?
+Who is the highest ranked teacher teaching [COURSE]?
+Who is the lowest ranked teacher teaching [COURSE]?
+What data science minor courses have [COURSE] as a prerequisite?
+Do I need [COURSE] to complete the data science minor?
+Is [COURSE] an upper level or lower level course?
+When was the last time [COURSE] was offered?
+Is [COURSE] an upper level course?
+Is [COURSE] a lower level course?
+When should I take [COURSE]?
+What is [COURSE]?
+Does the department offer [COURSE].
+What will I learn in [COURSE]?
+Is there a class on [COURSE]?.
+Are there any workshops or study sessions available for [COURSE]?
+What courses are needed to take [COURSE]?
+How much credits is [COURSE] worth?
+What is the number for [COURSE]?
+What courses have [COURSE] as a prerequisite?
+What comes after [COURSE]?
+What is the description for [COURSE]?
+Who should I take [COURSE] with?
+Who typically teaches [COURSE]?
+Does [COURSE] have any non CS/SE prerequisites?
+Is [COURSE] offered on a Credit/No Credit basis?
+Is there a grade prerequesite for [COURSE]?
+Does [COURSE] have any corequisites?
+Does [COURSE] have any concurrent enrollements?
+How is [COURSE] listed?
+Who is the best professor for [COURSE] with?
+Which professors have taught [COURSE]?
+Which quarter is [COURSE] typically offered?
+Does [COURSE] have a prerequisite from another department?
+What course number does [COURSE] have?
+What course name does [COURSE] have?
+How many units of lab does [COURSE] have?
+Are there any recommended classes for [COURSE]?
+Is [COURSE] corsslisted?
+Which departments does [COURSE] have prerequisites in?
+On what level is [COURSE]?
+Which courses require [COURSE]
+Who is the best professor to take for [COURSE]?
+Who teaches [COURSE]?
+Who is usually the professor for [COURSE]?
+Who has taught [COURSE] in the past?
+What is the highest rated polyrating professor for [COURSE]?
+What is the highest rated polyrating professor that is currently teaching [COURSE]?
+What is the highest rated polyrating professor that taught [COURSE] last quarter?
+What is the highest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+What is the lowest rated polyrating professor for [COURSE]?
+What is the lowest rated polyrating professor that is currently teaching [COURSE]?
+What is the lowest rated polyrating professor that taught [COURSE] last quarter?
+What is the lowest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+How many professors teach [COURSE]?
+Which professors teach [COURSE]?
+What professor(s) typically teach [COURSE]?
+What professor(s) teach [COURSE] this quarter?
+Which professors are teaching [COURSE] next quarter?
+Who are the professors teaching [COURSE] next quarter?
+Can I get tutoring in [COURSE]?
+Is tutoring available for [COURSE]?
+Is tutoring provided for [COURSE]?
+"During Stat tutoring, can I get help with [COURSE]"
+What courses is [PROF] teaching this quarter?
+What courses is [PROF] teaching next quarter?
+What is [PROF] schedule like this quarter?
+What is [PROF] schedule like next quarter?
+How many courses is [PROF] teaching?
+What are [PROF]'s research areas?
+How many research areas does [PROF] have?
+How many proposals has [PROF] written at Cal Poly?
+Does [PROF] have a website?
+What is [PROF]'s website?
+Where can I learn more about [PROF]?
+Does [PROF] have a Cal Poly website?
+What classes does [PROF] teach?
+What buildings does [PROF] teach in?
+How many students does [PROF] currently teach between all their classes?
+What time are all [PROF]'s classes taught?
+What classes are [PROF] teaching next quarter?
+When are [PROF]'s office hours?
+Does [PROF] have office hours right now?
+Does [PROF] have office hours later today?
+Does [PROF] have office hours tomorrow?
+Where is [PROF]'s office?
+How many office hours does [PROF] have this week?
+What is [PROF]'s email?
+How can I email [PROF]?
+What is the email of [PROF]?
+Is [PROF]'s email listed?
+What is [PROF]'s average PolyRating?
+What classes does [PROF] have PolyRatings for?
+How many PolyRatings does [PROF] have?
+Is [PROF] reviewed on PolyRatings?
+Does [PROF] have a PolyRating?
+When is the most recent PolyRating for [PROF]?
+What level of professor is [PROF]?
+List all [PROF] level professors.
+Is [PROF] a professor at Cal Poly?
+What is professor [PROF]'s first name?
+Does [PROF] currently teach at Cal Poly?
+What is [PROF]'s phone number?
+What is the phone number for [PROF]?
+How many phone numbers are listed for [PROF]?
+Does [PROF] have a phone number listed?
+Is there a phone number listed for [PROF]?
+Which courses does [PROF] teach?
+What is [PROF]'s poly rating?
+Is [PROF] a faculty advisor?
+What are the research interests of [PROF]?
+What research areas are [PROF] interested in?
+What is [PROF] researching?
+What is the average polyrating of [PROF]?
+What is [PROF] rated on polyratings?
+How good of a professor is [PROF]?
+Is [PROF] a good professor?
+Is [PROF] well liked?
+Which of [PROF] has the highest polyrating?
+What is the URL for [PROF]'s polyratings?
+How many different classes will [PROF] teach next quarter?
+What courses has [PROF] taught?
+What courses does [PROF] teach?
+What is [PROF] teaching this quarter?
+Is [PROF] teaching any classes this quarter?
+Where is [PROF] teaching right now?
+Where will [PROF] be teaching next?
+Where did [PROF] go to school?
+What degrees does [PROF] have?
+What schools has [PROF] attended?
+Who are the [PROF] in the CSSE program at Cal Poly?
+What school did [PROF] get their degree from?
+How many degrees does [PROF] have?
+How long has [PROF] taught at Cal Poly?
+What year did [PROF] start at Cal Poly?
+When did [PROF] start teaching at Cal Poly?
+Did [PROF] study at Cal Poly?
+When was [PROF] a professor at Cal Poly?
+What is the highest degree of [PROF]?
+Where did [PROF] get their most recent degree?
+What is [PROF]'s highest degree?
+Is [PROF] still working at Cal Poly?
+Does [PROF] still teach at Cal Poly?
+Has there ever been a professor [PROF] in Cal Poly CSSE?
+Did [PROF] ever teach in the computer science department?
+What published research projects does [PROF] have?
+How many research papers has [PROF] submitted for Cal Poly?
+What papers has [PROF] contributed to the Cal Poly Digital Commons?
+Has [PROF] published any papers?
+What research papers has [PROF] written?
+What senior projects has [PROF] advised?
+How many senior projects has [PROF] advised?
+What senior projects did [PROF] advise last year?
+Whose senior projects has [PROF] advised?
+What is the average length of papers published by [PROF]?
+Where can I learn more about [PROF]'s research?
+In what journals has [PROF] been published?
+What journals has [PROF] published papers in?
+How can I contact [PROF]?
+What is [PROF]'s contact information?
+What number do I call to reach [PROF]?
+How can I reach [PROF]?
+In what room is [PROF]'s office?
+Where can I find [PROF]'s website?
+Does [PROF] have a personal website?
+What is [PROF]'s home page?
+What is the email address of [PROF]?
+What is the office of [PROF]?
+What are the names and emails of all computer science [PROF]?
+Who are the computer science [PROF]s at Cal Poly?
+Who shares an office with [PROF]?
+Does anyone share an office with [PROF]?
+What time are [PROF]'s office hours?
+When can I visit [PROF]'s office?
+Is [PROF] hosting office hours right now?
+Is [PROF] in their office now?
+What is the job title of [PROF]?
+Is [PROF] a lecturer or a professor?
+What is the position of [PROF]?
+What is [PROF]'s job at Cal Poly?
+"In the CSSE department, how many faculty members are [PROF]?"
+How many computer science [PROF] are there at Cal Poly?
+Who are the professors with the last name [PROF]?
+Where is [PROF] right now?
+"At the moment, where is [PROF]?"
+Where is [PROF] currently?
+Where is the next place I can find [PROF]?
+When can I next find [PROF] on campus?
+What are [PROF]'s personal interests?
+What are [PROF]'s professional distinctions?
+Where did [PROF] get their BS?
+Which school did [PROF] get their BS at?
+Which school did [PROF] get their Master's at?
+Where did [PROF] get their Master's?
+Where did [PROF] get their doctorate?
+Which school did [PROF] get their doctorate at?
+When did [PROF] get their BS?
+What year did [PROF] get their BS?
+When did [PROF] get their Master's?
+What year did [PROF] get their Master's?
+When did [PROF] get their doctorate?
+What year did [PROF] get their doctorate?
+What is [PROF]'s title?
+What is the title of [PROF]?
+What is the phone number of [PROF]?
+What building is [PROF]'s office in?
+What time does [PROF] have office hours today?
+What days does [PROF] have office hours?
+Which professors neighbor [PROF]?
+How many professors neighbor [PROF]?
+When will [PROF] be at his/her office?
+Is [PROF] at their office right now?
+How many classes is [PROF] teaching this quarter?
+How many classes is [PROF] teaching next quarter?
+How many polyratings does [PROF] have?
+Does [PROF] recognize student difficulties?
+How well does [PROF] recognize student difficulties?
+Does [PROF] present material clearly?
+How clearly does [PROF] present material?
+What grades has [PROF] given out (on polylearn)?
+What is the average polyratings grade for [PROF]?
+What professional distinctions does [PROF] have?
+Does [PROF] have any areas of research?
+What are the Mathematics/Statistics Support Elective options for [MMC]
+What are the approved technical electives for [MMC]
+Which courses will count as approved external electives for [MMC]
+Is taking the GRE required for acceptance into the 4+1 program for [MMC]?
+What classes are availabe to satisfy the pre-requisite technical elective course for [MMC]?
+Which courses will count as approved pre-requisite technical electives for [MMC]
+What [MMC] electives are offered next quarter?
+What are the electives being offered for [MMC] next quarter?
+Which electives are offered for [MMC] for next quarter?
+What courses are required for the [MMC] minor?
+Which courses do I need to take for the [MMC] minor?
+How many units are required to obtain the 4+1 blended BS/MS degree for [MMC]?
+What courses are required for the [MMC] concentration?
+Which courses do I need to take for the [MMC] concentration?
+What are the life science support elective options for [MMC]
+What are the support course options for [MMC]?
+Which courses are part of the [MMC]?
+Which courses are optional for [MMC]?
+Which courses in [MMC] can I skip through AP Credit?
+Which courses in [MMC] can I skip through IB Credit?
+Which minor or concentration adds the least amount of graduation time to the [MMC]?
+How many general education courses do I need to take for the [MMC] major?
+How many support courses do I need to take for the [MMC] major?
+What is the units break down for [MMC] major?
+How many GE units do I need for the [MMC] major?
+How many support units do I need for the [MMC] major?
+How many units do I need for the [MMC] major?
+"In order to complete the [MMC] major, how many units will I need?"
+How many units do I need for the [MMC] minor?
+How many units does the [MMC] require?
+How many classes per quarter do I have to take for [MMC]?
+How many concentrations are there in [MMC]?
+How many courses are required for [MMC]?
+Can I double major with [MMC]?
+What are the degree requirements for [MMC]?
+How many students are enrolled in [MMC]?
+Is there a BS/MS blend with [MMC]?
+How many units are required for [MMC]?
+Does an inquiry need to be submitted to switch into [MMC]
+What are the minimum requirements to switch into [MMC]
+Does [MMC] contain any free electives?
+What courses are needed to obtain [MMC]
+Is there a GPA requirement to enroll in [MMC]
+How many tech electives are required for [MMC]?
+What are the general education categories required for [MMC] majors?
+Are there any [MMC] classes that can be taken by credit/no credit?
+Can any technical electives for [MMC] be taken by credit/no credit?
+How many GEs do I have to take in [MMC]?
+How many general educations do I have to take in [MMC]?
+How many general education classes do I have to take in [MMC]?
+How many units of electives do I need for [MMC]?
+What is the total number of units of electives needed to graduate in [MMC]?
+How many approved electives do I have to take for the [MMC]?
+What are the approved electives I can take for a [MMC]?
+What are the program educational objectives for the [MMC]?
+What are the learning outcomes of [MMC]?
+What are the learning outcomes for [MMC]?
+What are the [MMC] courses?
+What are the courses required for [MMC]?
+How many courses do we have in [MMC]?
+What are some [MMC] resources that are available?
+What resources are there for [MMC]?
+Where can I get advising for a [MMC]?
+What are the course numbers that are considered independent study in [MMC]?
+How many units do I need for a [MMC]?
+What are the steps to apply for the [MMC]?
+How do I apply for a [MMC]?
+What are the required courses for the [MMC]?
+What are the prerequisites for the [MMC]?
+Where can I get the application for the [MMC]?
+Where can I get the flowchart for the [MMC]?
+What courses should I take each quarter for the [MMC]?
+How many classes do I have to take for [MMC]?
+What is the total number of classes needed to graduate in [MMC]?
+How do I declare [MMC] concentration?
+Who are the minor advisors for [MMC]?
+Who can I contact to get more information about the [MMC]?
+Who can I contact if I have questions about [MMC]?
+Who will help me if I have doubts about [MMC]?
+Where can I get the flowchart for [MMC]?
+What are the GE area required for [MMC]?
+What are the undergraduate courses for [MMC]?
+What are the graduate courses for [MMC]?
+How many GE areas have to be completed for [MMC]?
+What minor would make more sense with [MMC]
+"At best, how long last [MMC]?"
+How many years are necessary to graduate from [MMC]?
+What are the tech electives for [MMC]?
+What courses are electives for [MMC]?
+What electives can I take to get a [MMC]?
+What courses are credit not allowed for [MMC]?
+What are the program objectives of [MMC]?
+How many people are in the classes for [MMC]?
+Who accredits the [MMC]?
+What are the prerequisites for [MMC]?
+Is there a [MMC] Minor?
+What is the [MMC] Minor?
+Is [MMC] a part of another department?
+Who is the advisor for [MMC]?
+How many units to get a Minor in [MMC]?
+How many prerequisites are there for [MMC]?
+How many students take [MMC]?
+Will [MMC] help me get a job?
+How many classes would I have to take to get a Minor in [MMC]?
+How do I learn more about [MMC]?
+Which classes are crosslisted in [DEPT]?
+What [DEPT] courses are required?
+What classes are required from [DEPT]?
+How many [DEPT] courses are required?
+How many courses from [DEPT] are required?
+How many classes of [DEPT] do I have to complete?
+What clubs does the [DEPT] department offer?
+How many clubs are in the [DEPT] department?
+What types of clubs does the [DEPT] department offer?
+How do you sign up to be a [DEPT] tutor?
+What accreditations does [DEPT] have?
+What college does [DEPT] belong to?
+What positions are available in [DEPT]?
+Can I get a job at Cal Poly in [DEPT]?
+Who is the advisor of the [CLUB] club?
+What is the email of the President of the [CLUB] club?
+What type of club is the [CLUB] club?
+What is the email for the advisor of the [CLUB] club?
+What is the [CLUB] club?
+What is the homepage of the [CLUB] club?
+What is the box number of the [CLUB] club?
+What is the email for the [CLUB] club?
+What are the social media accounts for the [CLUB] club?
+How many people follow the [CLUB] club's Facebook page?
+Are there any new posts on the [CLUB] club's Facebook page?
+What is the next event for [CLUB]?
+When is the next event for [CLUB]?
+Who are the officers for [CLUB] club?
+When are the meetings for [CLUB] club?
+When is the next meeting for [CLUB] club?
+Where is [CLUB] located?
+Does [CLUB] have their own room?
+What college is affiliated with the [CLUB] club?
+What are some past events of the [CLUB] club?
+What was the last event of the [CLUB] club?
+When was the last event of [CLUB] club?
+Who is the president of the [CLUB] club?
+Who is the vice president of the [CLUB] club?
+Who is the secretary of the [CLUB] club?
+Who is the treasurer of the [CLUB] club?
+How can I contact [CLUB]?
+What is the phone number of the President of the [CLUB] club?
+What is the phone number of the Advisor of the [CLUB] club?
+How many people posted on the [CLUB] club's Facebook page in the past 30 days?
+How many people joined the [CLUB] club's Facebook page in the past 30 days?
+What resources are used by the [CLUB] club?
+How many followers does the [CLUB] club's Instagram account have?
+How many accounts does the [CLUB]'s Instagram follow?
+When was the [CLUB] established?
+Does the [CLUB] have an office?
+Where is the office of the [CLUB]?
+How many officers does the [CLUB] have?
+How many teams does the [CLUB] have?
+Where will the next event of the [CLUB] be held?
+When will the next event of the [CLUB] be held?
+How many events does the [CLUB] have next week?
+What is the next event of the [CLUB]?
+What is the website link for [CLUB]?
+Is there a website for [CLUB]?
+How do I learn more about [CLUB]?
+What does [CLUB] do?
+Who should I contact for [CLUB]?
+Is there a contact for [CLUB]?
+What is the location of [CLUB]?
+Where is [CLUB]?
+Where can I visit [CLUB] online?
+What is the URL for [CLUB]?
+Can you describe the [CLUB]?
+Could you give me a brief overview of [CLUB]?
+Who is the chief contact for [CLUB]?
+Who should I get in touch with for [CLUB]?
+What is the general contact information for [CLUB]?
+Who is the club adviser for [CLUB]?
+What teachers teach a class in [SECRET_HIDEOUT]?
+Which classes are taught in [SECRET_HIDEOUT]?
+Do any teachers have office hours in [SECRET_HIDEOUT]?
+What professors have offices in [SECRET_HIDEOUT]?
+Which professors have office hours in [SECRET_HIDEOUT]?
+Who are the professors with office hours in [SECRET_HIDEOUT]?
+Whose office is in [SECRET_HIDEOUT]?
+Which professors have offices in building [SECRET_HIDEOUT]?
+How many professors have offices in building [SECRET_HIDEOUT]?
diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
new file mode 100644
index 0000000..37c493a
--- /dev/null
+++ b/nimbus_nlp/save_and_load_model.py
@@ -0,0 +1,39 @@
+import os
+import numpy as np
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.feature_extraction import DictVectorizer
+from sklearn import svm
+from sklearn.externals import joblib
+import pickle
+from datetime import datetime
+from os import listdir
+from os.path import isfile, join
+import re
+
+PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
+now = datetime.now()
+date_time = now.strftime("_%m_%d_%Y_%H_%M_%S")
+
+
+def save_model(model, model_name):
+    save_path = PROJECT_DIR + '/models/classification/' + model_name + date_time + '.pkl'
+    f = open(save_path, 'wb')
+    pickle.dump(model, f)
+    f.close()
+    print('Saved model :', save_path)
+
+
+def load_model(model_name):
+    train_path = PROJECT_DIR + '/models/classification/' + model_name + '.joblib'
+    return joblib.load(train_path)
+
+def load_latest_model():
+    train_path = PROJECT_DIR + '/models/classification/'
+    onlyfiles = [f for f in listdir(train_path) if isfile(join(train_path, f))]
+    r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+_[\d]+_[\d]+)', f)[0], '%m_%d_%Y_%H_%M_%S')) for f in onlyfiles]
+    r = sorted(r, key=lambda x: x[1])
+    model_path = r[-1][0]
+    return joblib.load(train_path + model_path)
+
+
diff --git a/q_a_pairs.csv b/q_a_pairs.csv
new file mode 100644
index 0000000..4b2cb8f
--- /dev/null
+++ b/q_a_pairs.csv
@@ -0,0 +1,136 @@
+answer_format,question_format
+[COURSE..desc].,What is [COURSE] about?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Which courses are required to be taken before [COURSE]?
+[COURSE] counts for [COURSE..units].,How many units does [COURSE] count towards?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] typically offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,During what quarters is [COURSE] typically offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] going to be offered next quarter?
+[COURSE] is [COURSE..units] units.,Is [COURSE] a 4 unit class?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,What terms is [COURSE] typically offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Which terms is [COURSE] offered?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I have to take before [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I have to take before [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the recommended prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the recommended prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I need in order to take [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+ [COURSE..desc].,What is [COURSE] about?
+[COURSE..desc].,What is [COURSE] about?
+[COURSE..desc].,What topics are covered in [COURSE]?
+[COURSE..desc].,What topics are covered in [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is the course title for [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is [COURSE] also called?
+The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
+The title for [COURSE] is [COURSE..courseNum].,What is the course code for [COURSE]?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,How many times is [COURSE] offered per year?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] offered?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] available?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When can I take [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units does [COURSE] have?
+[COURSE] is [COURSE..units] units.,How many units does [COURSE] fulfill?
+[COURSE] fulfills [COURSE..ge_areas],What does [COURSE] fulfill?
+[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill anything?
+[COURSE] fulfills [COURSE..ge_areas],What requirements does [COURSE] fulfill?
+[COURSE] fulfills [COURSE..ge_areas],How many lectures does [COURSE] have?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any prerequisites?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,How many prerequisites does [COURSE] have?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Are there any prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What courses do you need to take before taking [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any preqs?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered this quarter?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Can I take [COURSE] this quarter?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When's the next time I can take [COURSE]?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered soon?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When has [COURSE] been offered?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What class is [COURSE]?
+[COURSE] is about [COURSE..description].,What is the description of [COURSE]?
+[COURSE] is about [COURSE..description].,What do you learn in [COURSE]?
+[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill any GE requirements?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,How many prerequisite classes are needed for me to take [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] require any MATH classes?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered next quarter?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have non-statistics prerequisites?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have non-statistics and non-math prerequisites?
+[COURSE..desc].,What is [COURSE]?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] typically offered?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is about [COURSE..desc].,What class is [COURSE]?
+[COURSE] is about [COURSE..desc].,What will I learn in [COURSE]?
+[COURSE] is about [COURSE..desc].,What class is [COURSE]?
+The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What courses are needed to take [COURSE]?
+[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
+[COURSE] is [COURSE..units] units.,How much credits is [COURSE] worth?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] offered?
+The number for [COURSE] is [COURSE..number],What is the number for [COURSE]?
+[COURSE] is about [COURSE..information].,What is the description for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any non CS/SE prerequisites?
+The corequisites for [COURSE] are [COURSE..raw_concurrent_text],Does [COURSE] have any corequisites?
+The corequisites for [COURSE] are [COURSE..raw_concurrent_text],Does [COURSE] have any concurrent enrollements?
+The number for [COURSE] is [COURSE..number],How is [COURSE] listed?
+[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Which quarter is [COURSE] typically offered?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have a prerequisite from another department?
+The number for [COURSE] is [COURSE..number],What course number does [COURSE] have?
+[COURSE..number] is [COURSE],What course name does [COURSE] have?
+[COURSE..raw_recommended_text] are recommended for [COURSE],Are there any recommended classes for [COURSE]?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] require consent of instructor?
+The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Which departments does [COURSE] have prerequisites in?
+[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill any GE requirements?
+[PROF] has expertise in [PROF..research_interests].,What are [PROF]'s research areas?
+[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
+[PROF]'s email is [PROF..email].,What is [PROF]'s email?
+[PROF]'s email is [PROF..email].,How can I email [PROF]?
+[PROF]'s email is [PROF..email].,What is the email of [PROF]?
+[PROF]'s email is [PROF..email].,Is [PROF]'s email listed?
+[PROF]'s first name is [PROF..first_name],What is professor [PROF]'s first name?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
+[PROF]'s phone number is [PROF..phoneNumber].,What is the phone number for [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,Does [PROF] have a phone number listed?
+[PROF]'s phone number is [PROF..phoneNumber].,Is there a phone number listed for [PROF]?
+[PROF] has expertise in [PROF..research_interests].,What are the research interests of [PROF]?
+[PROF] has expertise in [PROF..research_interests].,What research areas are [PROF] interested in?
+[PROF] has expertise in [PROF..research_interests].,What is [PROF] researching?
+[PROF]'s email is [PROF..email].,What is [PROF]'s email?
+[PROF]'s email is [PROF..email].,How can I contact [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s contact information?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
+[PROF]'s phone number is [PROF..phoneNumber].,What number do I call to reach [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,How can I reach [PROF]?
+[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
+[PROF]'s office is [PROF..office].,In what room is [PROF]'s office?
+[PROF]'s email is [PROF..email].,What is the email address of [PROF]?
+[PROF]'s office is [PROF..office].,What is the office of [PROF]?
+[PROF]'s office is [PROF..office].,When can I visit [PROF]'s office?
+[PROF]'s email is [PROF..email].,What is the email of [PROF]?
+[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
+[PROF]'s phone number is [PROF..phoneNumber].,What is the phone number of [PROF]?
+[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
+[PROF]'s office is [PROF..office].,What building is [PROF]'s office in?
+[PROF] has expertise in [PROF..researchInterests].,Does [PROF] have any areas of research?
+[CLUB] is a [CLUB..types] club.,What type of club is the [CLUB] club?
+[CLUB..desc].,What is the [CLUB] club?
+[CLUB]'s box number is [CLUB..box],What is the box number of the [CLUB] club?
+[CLUB] can contacted by emailing [CLUB..contact_email],What is the email for the [CLUB] club?
+[CLUB] is affiliated with [CLUB..affiliation],What college is affiliated with the [CLUB] club?
+[CLUB] can be contacted at [CLUB..contact_email],How can I contact [CLUB]?
+[CLUB]'s person of contact is [CLUB..contact_person].,What is the phone number of the President of the [CLUB] club?
+The phone number of [CLUB..advisor] is [CLUB..advisor_phone],What is the phone number of the Advisor of the [CLUB] club?
+[CLUB]'s contact information is [CLUB..contact_email].,How do I learn more about [CLUB]?
+[CLUB..desc].,What does [CLUB] do?
+[CLUB]'s person of contact is [CLUB..contact_person].,Who should I contact for [CLUB]?
+[CLUB]'s person of contact is [CLUB..contact_person].,Is there a contact for [CLUB]?
+[CLUB..desc].,Can you describe the [CLUB]?
+[CLUB..desc].,Could you give me a brief overview of [CLUB]?
+[CLUB]'s advisor is [CLUB..advisor].,Who is the chief contact for [CLUB]?
+[CLUB]'s person of contact is [CLUB..contact_person].,Who should I get in touch with for [CLUB]?
+[CLUB]'s contact information is [CLUB..contact_email].,What is the general contact information for [CLUB]?
+[CLUB]'s advisor is [CLUB..advisor].,Who is the club adviser for [CLUB]?
\ No newline at end of file

From f6c8bd2bf3ef8f881b7657ec4cb5351a5da5875f Mon Sep 17 00:00:00 2001
From: Cameron Toy <38936057+cameron-toy@users.noreply.github.com>
Date: Fri, 28 Feb 2020 15:58:42 -0800
Subject: [PATCH 116/272] changed fuzzy-wuzzy to fuzzywuzzy

---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 802ba59..fcd0239 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,7 +9,7 @@ entrypoints==0.3
 flake8==3.7.9
 Flask==1.1.1
 Flask-Cors==3.0.8
-fuzzy-wuzzy==0.18.0
+fuzzywuzzy==0.18.0
 google-api-python-client==1.7.11
 google-auth==1.10.1
 google-auth-httplib2==0.0.3

From 581c6077b4414a78db64212f04ff846e0fb193f8 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 16:23:12 -0800
Subject: [PATCH 117/272] Create test_new_data_wakeword_endpoint.py

---
 tests/test_new_data_wakeword_endpoint.py | 46 ++++++++++++++++++++++++
 1 file changed, 46 insertions(+)
 create mode 100644 tests/test_new_data_wakeword_endpoint.py

diff --git a/tests/test_new_data_wakeword_endpoint.py b/tests/test_new_data_wakeword_endpoint.py
new file mode 100644
index 0000000..7feaf8c
--- /dev/null
+++ b/tests/test_new_data_wakeword_endpoint.py
@@ -0,0 +1,46 @@
+# import requests  # noqa
+# import json
+
+# BASE_URL = "http://0.0.0.0:8080"
+# URL = f"{BASE_URL}/new_data/wakeword"
+# WAVE_FILENAME = "happy.wav"
+
+# # TODO: assert other properties like
+# #       * if data already exists in database, then no update
+# #       * if given bad data values then response.status_code == bad
+# #       * if given missing data keys then ...
+# #       * if given ....... ????
+
+
+# def test_post_one_wakeword():
+#     # TODO: make sure the pydrive.settings precondition is set betfore
+#     #       running this
+#     # read in a wav file as bytes
+#     wav_file_binary = open(WAVE_FILENAME, "rb").read()
+
+#     data = {
+#         "isWakeWord": (None, "false"),
+#         "noiseLevel": (None, "m"),
+#         "tone": (None, "neutral"),
+#         "emphasis": (None, "iss"),
+#         "script": (None, "nimbus"),
+#         "timestamp": (None, "1582932079"),
+#         "location": (None, "Baker 110"),
+#         "gender": (None, "m"),
+#         "lastName": (None, "Aikens"),
+#         "firstName": (None, "Miles"),
+#         "wav_file": ("happy.wav", wav_file_binary),
+#     }
+
+#     # print("data:\n\n", data, "\n")
+#     response = requests.post(URL, files=data)
+
+#     # printouts
+#     print("response.ok", response.ok)
+#     print("response.status_code", response.status_code)
+#     print("response.text", response.text)
+
+#     # assertions
+#     assert response.ok is True
+#     assert response.status_code == 200
+#     assert response.text == "SUCCESS"

From 824ffdacdf989f2bfe3c08e2cc1ff6d03708bb4a Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 16:23:14 -0800
Subject: [PATCH 118/272] Create happy.wav

---
 happy.wav | Bin 0 -> 32044 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 happy.wav

diff --git a/happy.wav b/happy.wav
new file mode 100644
index 0000000000000000000000000000000000000000..a5298fbcb2037ea7d8d1e59f3bcffd5ed29239cd
GIT binary patch
literal 32044
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HcmV?d00001


From abbfdd20baf6e1a4beca8523061c9edebba6da3d Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 16:28:30 -0800
Subject: [PATCH 119/272] add more tests

---
 tests/test_new_data_calendars_endpoint.py | 44 +++++++++++++++++++++++
 tests/test_new_data_clubs_endpoint.py     | 11 ++++--
 tests/test_new_data_location_endpoint.py  | 43 ++++++++++++++++++++++
 3 files changed, 96 insertions(+), 2 deletions(-)
 create mode 100644 tests/test_new_data_calendars_endpoint.py
 create mode 100644 tests/test_new_data_location_endpoint.py

diff --git a/tests/test_new_data_calendars_endpoint.py b/tests/test_new_data_calendars_endpoint.py
new file mode 100644
index 0000000..e27be74
--- /dev/null
+++ b/tests/test_new_data_calendars_endpoint.py
@@ -0,0 +1,44 @@
+import requests  # noqa
+import json
+
+BASE_URL = "http://0.0.0.0:8080"
+URL = f"{BASE_URL}/new_data/calendars"
+
+
+# TODO: assert other properties like
+#       * if data already exists in database, then no update
+#       * if given bad data values then response.status_code == bad
+#       * if given missing data keys then ...
+#       * if given ....... ????
+
+
+def test_post_one_calendar():
+    data = {
+        "calendars": [
+            {
+                "date": "7_4_2020",
+                "day": "4",
+                "month": "July",
+                "year": "2020",
+                "raw_events_text": ["TEST EVENT"],
+            }
+        ]
+    }
+
+    # aka 'request body' aka 'payload'
+    request_json = json.dumps(data)
+
+    headers = {"Content-Type": "application/json"}
+    print("request_json:\n\n", request_json, "\n")
+    response = requests.post(URL, data=request_json, headers=headers)
+
+    # printouts
+    print("response.ok", response.ok)
+    print("response.status_code", response.status_code)
+    print("response.text", response.text)
+
+    # assertions
+    assert response.ok is True
+    assert response.status_code == 200
+    assert response.text == "SUCCESS"
+
diff --git a/tests/test_new_data_clubs_endpoint.py b/tests/test_new_data_clubs_endpoint.py
index 2d6d82e..84cb64c 100644
--- a/tests/test_new_data_clubs_endpoint.py
+++ b/tests/test_new_data_clubs_endpoint.py
@@ -5,7 +5,14 @@
 URL = f"{BASE_URL}/new_data/clubs"
 
 
-def test_post_one_course():
+# TODO: assert other properties like
+#       * if data already exists in database, then no update
+#       * if given bad data values then response.status_code == bad
+#       * if given missing data keys then ...
+#       * if given ....... ????
+
+
+def test_post_one_club():
     data = {
         "clubs": [
             {
@@ -15,7 +22,7 @@ def test_post_one_course():
                 "contact_email": "test@test.com",
                 "contact_email_2": "test@test.com",
                 "contact_person": "Test Person",
-                "contact_phone": 15552223232,
+                "contact_phone": 12223334444,
                 "box": 89,
                 "advisor": "Test Person",
                 "affiliation": None,
diff --git a/tests/test_new_data_location_endpoint.py b/tests/test_new_data_location_endpoint.py
new file mode 100644
index 0000000..5ea19b8
--- /dev/null
+++ b/tests/test_new_data_location_endpoint.py
@@ -0,0 +1,43 @@
+import requests  # noqa
+import json
+
+BASE_URL = "http://0.0.0.0:8080"
+URL = f"{BASE_URL}/new_data/locations"
+
+
+# TODO: assert other properties like
+#       * if data already exists in database, then no update
+#       * if given bad data values then response.status_code == bad
+#       * if given missing data keys then ...
+#       * if given ....... ????
+
+
+def test_post_one_course():
+    data = {
+        "locations": [
+            {
+                "building_number": 1,
+                "name": "Test Building",
+                "longitude": -120.658561,
+                "latitude": 35.300960,
+            }
+        ]
+    }
+
+    # aka 'request body' aka 'payload'
+    request_json = json.dumps(data)
+
+    headers = {"Content-Type": "application/json"}
+    print("request_json:\n\n", request_json, "\n")
+    response = requests.post(URL, data=request_json, headers=headers)
+
+    # printouts
+    print("response.ok", response.ok)
+    print("response.status_code", response.status_code)
+    print("response.text", response.text)
+
+    # assertions
+    assert response.ok is True
+    assert response.status_code == 200
+    assert response.text == "SUCCESS"
+

From 62e97a9424236a8a0594dd6e4ef7ef0cc1d5f382 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 16:28:46 -0800
Subject: [PATCH 120/272] Update requirements.txt

---
 requirements.txt | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/requirements.txt b/requirements.txt
index 1aa9302..40b2d71 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,6 +3,8 @@ astroid==2.3.3
 attrs==19.3.0
 black==19.10b0
 cachetools==4.0.0
+certifi==2019.11.28
+chardet==3.0.4
 Click==7.0
 dataclasses==0.7
 entrypoints==0.3
@@ -15,6 +17,7 @@ google-auth-httplib2==0.0.3
 gunicorn==20.0.4
 httplib2==0.16.0
 hypothesis==5.3.1
+idna==2.9
 importlib-metadata==1.4.0
 invoke==1.4.1
 isort==4.3.21
@@ -48,6 +51,7 @@ pytest==5.3.4
 pywatchman==1.4.1
 PyYAML==5.3
 regex==2020.2.20
+requests==2.23.0
 rsa==4.0
 six==1.13.0
 sortedcontainers==2.1.0
@@ -57,6 +61,7 @@ typed-ast==1.4.0
 typing-extensions==3.7.4.1
 typing-inspect==0.5.0
 uritemplate==3.0.1
+urllib3==1.25.8
 wcwidth==0.1.8
 Werkzeug==0.16.0
 wrapt==1.11.2

From 3a27169411eca72b8ed97ec9db263c1c197c4165 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 16:29:15 -0800
Subject: [PATCH 121/272] fix #77

---
 modules/formatters.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/formatters.py b/modules/formatters.py
index faf4295..e92c9f2 100644
--- a/modules/formatters.py
+++ b/modules/formatters.py
@@ -19,8 +19,8 @@ def format(self, data):
         # TODO: document this function better
         # TODO: write test cases for this function
         form = data.copy()
-        form['isWakeWord'] = 'ww' if (form[key]) else 'nww'
+        form["isWakeWord"] = "ww" if (form["isWakeWord"]) else "nww"
         form["firstName"] = form["firstName"].title()
         form["lastName"] = form["lastName"].title()
-        form['timestamp'] = int(form[key])
+        form["timestamp"] = int(form["timestamp"])
         return form

From 4528f228cd19a1422e8480e010e64c372e18a5bf Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 16:30:04 -0800
Subject: [PATCH 122/272] Update Clubs.py

---
 Entity/Clubs.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index e118bcd..4ff23a7 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -13,7 +13,8 @@ class Clubs(Base):
     contact_email = Column(String(255))
     contact_email_2 = Column(String(255))
     contact_person = Column(String(255))
-    contact_phone = Column(String(10))
+    # TODO: how big can a phone number be including extionsions and formatting?
+    contact_phone = Column(String(255))
     box = Column(String(3))
     advisor = Column(String(255))
     affiliation = Column(String(255))

From 89d8a636b3bc5e1a10b57cf3691b1a1d058e8886 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 16:46:01 -0800
Subject: [PATCH 123/272] Update requirements.txt

---
 requirements.txt | 26 ++++++++++++++++++++++++++
 1 file changed, 26 insertions(+)

diff --git a/requirements.txt b/requirements.txt
index 39f76d9..65ab8fb 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,19 +2,27 @@ appdirs==1.4.3
 astroid==2.3.3
 attrs==19.3.0
 black==19.10b0
+blis==0.4.1
 cachetools==4.0.0
+catalogue==1.0.0
 certifi==2019.11.28
 chardet==3.0.4
 Click==7.0
+cymem==2.0.3
 dataclasses==0.7
 entrypoints==0.3
 flake8==3.7.9
 Flask==1.1.1
 Flask-Cors==3.0.8
 fuzzywuzzy==0.18.0
+google-api-core==1.16.0
 google-api-python-client==1.7.11
 google-auth==1.10.1
 google-auth-httplib2==0.0.3
+google-cloud==0.34.0
+google-cloud-automl==0.10.0
+googleapis-common-protos==1.51.0
+grpcio==1.27.2
 gunicorn==20.0.4
 httplib2==0.16.0
 hypothesis==5.3.1
@@ -24,18 +32,25 @@ invoke==1.4.1
 isort==4.3.21
 itsdangerous==1.1.0
 Jinja2==2.10.3
+joblib==0.14.1
 lazy-object-proxy==1.4.3
 libcst==0.3.0
 MarkupSafe==1.1.1
 mccabe==0.6.1
 more-itertools==8.1.0
+murmurhash==1.0.2
 mypy==0.761
 mypy-extensions==0.4.3
 mysql-connector-python==8.0.18
+nltk==3.4.5
+numpy==1.18.1
 oauth2client==4.1.3
 packaging==20.1
+pandas==1.0.1
 pathspec==0.7.0
+plac==1.1.3
 pluggy==0.13.1
+preshed==3.0.2
 protobuf==3.10.0
 psutil==5.6.7
 py==1.8.1
@@ -49,20 +64,31 @@ pyparsing==2.4.6
 pyre-check==0.0.41
 pyre-extensions==0.0.16
 pytest==5.3.4
+python-dateutil==2.8.1
+python-Levenshtein==0.12.0
+pytz==2019.3
 pywatchman==1.4.1
 PyYAML==5.3
 regex==2020.2.20
 requests==2.23.0
 rsa==4.0
+scikit-learn==0.22.2
+scipy==1.4.1
 six==1.13.0
+sklearn==0.0
 sortedcontainers==2.1.0
+spacy==2.2.3
 SQLAlchemy==1.3.13
+srsly==1.0.1
+thinc==7.3.1
 toml==0.10.0
+tqdm==4.43.0
 typed-ast==1.4.0
 typing-extensions==3.7.4.1
 typing-inspect==0.5.0
 uritemplate==3.0.1
 urllib3==1.25.8
+wasabi==0.6.0
 wcwidth==0.1.8
 Werkzeug==0.16.0
 wrapt==1.11.2

From f16a7eba58808dc3e8d508a5aefdf752fac1079b Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Fri, 28 Feb 2020 17:10:08 -0800
Subject: [PATCH 124/272] wakey wakey Heroku Dynos


From a7b590be779cb33fbfb626acc99a08a7a771f414 Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Thu, 27 Feb 2020 21:24:15 -0800
Subject: [PATCH 125/272] Generic save_entity method

---
 database_wrapper.py | 481 +++++++++-----------------------------------
 1 file changed, 98 insertions(+), 383 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 74b6b19..eac5663 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -45,6 +45,52 @@
     Sections: {"section_name"}
 }
 
+EXPECTED_KEYS_BY_ENTITY = {
+    AudioSampleMetaData : [
+        "is_wake_word",
+        "first_name",
+        "last_name",
+        "gender",
+        "noise_level",
+        "location",
+        "tone",
+        "timestamp",
+        "username",
+        "filename",
+    ],
+    Clubs : [
+        "club_name",
+        "types",
+        "desc",
+        "contact_email",
+        "contact_email_2",
+        "contact_person",
+        "contact_phone",
+        "box",
+        "advisor",
+        "affiliation"
+    ],
+    Locations : [
+        "building_number",
+        "name",
+        "longitude",
+        "latitude"
+    ],
+    Sections : [
+        "section_name",
+        "instructor",
+        "alias",
+        "title",
+        "phone",
+        "office",
+        "type",
+        "days",
+        "start",
+        "end",
+        "location",
+        "department"
+    ]
+}
 
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
@@ -386,7 +432,6 @@ def partial_fuzzy_match(self, tag_value, identifier):
     def full_fuzzy_match(self, tag_value, identifier):
         return fuzz.ratio(tag_value, identifier)
 
-
     def get_property_from_entity(
         self, prop: str, entity: UNION_ENTITIES, identifier: str,
         tag_column_map: dict = default_tag_column_dict
@@ -456,258 +501,21 @@ def get_course_properties(
             .all()
         )
 
-    def create_AudioSampleMetaData_table(self) -> None:
-        table_name = self.AudioSampleMetaData.__tablename__
-        if table_name in self.inspector.get_table_names():
-            print("table already exists")
-            return
-
-        self.AudioSampleMetaData.__table__.create(bind=self.engine)
-
-    def save_question_answer_pair(self, qa_dict: dict) -> bool:
-        """
-        Save the given question answer pair into the database.
-
-        Example input:
-        {
-            "can_we_answer": False,
-            "answer_type": AnswerType.other,
-            "question_format": "What is the meaning of life?",
-            "answer_format": "Dr. Fizzbuzz says the answer is sqrt(1764)"
-        }
-
-        Args:
-            qa_dict: a dictionary that corresponds to the fields in QuestionAnswerPair  # noqa
-
-        Raises:
-            BadDictionaryKeyError - ...
-            BadDictionaryValueError - ...
-
-        Returns:
-            True if all is good, else False
+    def save_entity(self, entity_type, data_dict: dict, filter_fields=[]) -> bool:
         """
-        # create an QuestionAnswerPair object with the given data
-        qa_pair_data = QuestionAnswerPair()
-        qa_pair_data.can_we_answer = qa_dict["can_we_answer"]
-        qa_pair_data.answer_type = qa_dict["answer_type"]
-        qa_pair_data.question_format = qa_dict["question_format"]
-        qa_pair_data.answer_format = qa_dict["answer_format"]
-
-        # insert this new qa_pair_data object into the QuestionAnswerPair table
-        self.session.add(qa_pair_data)
-        self.session.commit()
-        return True
+        Save an entity into the database. Can only be used when the key names in data_dict
+        match the entity field names (order shouldn't matter, but cases and spelling do matter).
 
-    def save_section(self, formatted_data: dict) -> bool:
-        """
-        Save the given section into the database
-
-         Example input:
-         {
-             "section_name": "CSC 480_06"
-             "instructor": "Kauffman, Daniel Alexander"
-             "alias": "dkauffma"
-             "title": "Instructor AY"
-             "phone": "+1.805.756.2824"
-             "office": "014-0254A"
-             "type": Lab
-             "days": SET('M', 'W', 'F')
-             "start": "10:10 AM"
-             "end": "11:00 AM"
-             "location": "014-0257"
-             "department": "CENG-Computer Science & Software Engineering"
-         }
-
-         Args:
-             formatted_data: a dictionary that corresponds to the fields in Sections
-
-         Raises:
-             BadDictionaryKeyError - ...
-             BadDictionaryValueError - ...
-
-         Returns:
-             True if all is good, else False
-        """
+        Note: INSERTs will be in cyan, and UPDATEs will be in yellow.
 
-        section = Sections()
-        section.section_name = formatted_data['section_name']
-        section.instructor = formatted_data['instructor']
-        section.alias = formatted_data['alias']
-        section.title = formatted_data['title']
-        section.phone = formatted_data['phone']
-        section.office = formatted_data['office']
-        section.type = formatted_data['type']
-        section.days = formatted_data['days']
-        section.start = formatted_data['start']
-        section.end = formatted_data['end']
-        section.location = formatted_data['location']
-        section.department = formatted_data['department']
-
-        self.session.add(section)
-        self.session.commit()
-        return True
-
-    def save_club(self, formatted_data: dict) -> bool:
-        """
-        Save the given club into the database.
-
-         Example input:
-         {
-             "club_name": Cal Poly Computer Science and Artificial Intelligence
-             "types": Academic, Special Interest
-             "desc": The Computer Science and Artificial Intelligence club provides..."
-             "contact_email": maikens@calpoly.edu
-             "contact_email_2": fkurfess@calpoly.edu
-             "contact_person": Miles Aikens
-             "contact_phone": 7349723564
-             "box": 89
-             "advisor": Franz Kurfess
-             "affiliation": None
-         }
-
-         Args:
-             formatted_data: a dictionary that corresponds to the fields in Clubs
-
-         Raises:
-             BadDictionaryKeyError - ...
-             BadDictionaryValueError - ...
-
-         Returns:
-             True if all is good, else False
-        """
-
-        expected_keys = {'club_name', 'types', 'desc', 'contact_email',
-                         'contact_email_2', 'contact_person', 'contact_phone',
-                         'box', 'advisor', 'affiliation'}
-        self.validate_input_keys(formatted_data, expected_keys)
-
-        club_data = self.session.query(Clubs).filter_by(club_name=formatted_data['club_name']).first()
-        if not club_data:
-            club_data = Clubs()
-
-        club_data.club_name = formatted_data['club_name']
-        club_data.types = formatted_data['types']
-        club_data.desc = formatted_data['desc']
-        club_data.contact_email = formatted_data['contact_email']
-        club_data.contact_email_2 = formatted_data['contact_email_2']
-        club_data.contact_person = formatted_data['contact_person']
-        club_data.contact_phone = formatted_data['contact_phone']
-        club_data.box = formatted_data['box']
-        club_data.advisor = formatted_data['advisor']
-        club_data.affiliation = formatted_data['affiliation']
-
-        self.session.add(club_data)
-        self.session.commit()
-        return True
-
-    @raises_database_error  # noqa - C901 "too complex" - agreed TODO: reduce complexity
-    def save_audio_sample_meta_data(self, formatted_data: dict) -> bool:
-        """
-        Save the metadata into the NimbusDatabase.
-
-        formatted_data at this point looks like:
+        data_dict should be a dictionary of field names and values, looking like:
         {
-            "isWakeWord": True,
-            "firstName": "jj",
-            "lastName": "doe",
-            "gender": "f",
-            "noiseLevel": "q",
-            "location": "here",
-            "tone": "serious-but-not-really",
-            "timestamp": 1577077883,
-            "username": "guest",
-            "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"  # noqa because too hard.
+            "field": value,
+            "..."  : ...
         }
 
-        Raises:
-            BadDictionaryKeyError - ...
-            BadDictionaryValueError - ...
-
-        Returns:
-            True if all is good, else False
-        """
-        keys_i_care_about = {
-            "isWakeWord",
-            "firstName",
-            "lastName",
-            "gender",
-            "noiseLevel",
-            "location",
-            "tone",
-            "timestamp",
-            "username",
-            "filename",
-        }
-
-        print(formatted_data)
-
-        self.validate_input_keys(formatted_data, keys_i_care_about)
-        # create an AudioSampleMetaData object with the given metadata
-        metadata = AudioSampleMetaData()
-
-        isWW = formatted_data["isWakeWord"]
-        if (isWW == "ww") or (isWW is True):
-            metadata.is_wake_word = True
-        elif (isWW == "nww") or (isWW is False):
-            metadata.is_wake_word = False
-        else:
-            msg = "unexpected values for isWakeWord\n"
-            msg += "expected 'ww' or True or 'nww' or False but got '{}'"
-            msg = msg.format(formatted_data["isWakeWord"])
-            raise BadDictionaryValueError(msg)
-
-        metadata.first_name = formatted_data["firstName"]
-        metadata.last_name = formatted_data["lastName"]
-        metadata.gender = formatted_data["gender"]
-
-        if (
-            formatted_data["noiseLevel"] == "q"
-            or formatted_data["noiseLevel"] == "quiet"
-        ):
-            metadata.noise_level = NoiseLevel.quiet
-        elif (
-            formatted_data["noiseLevel"] == "m"
-            or formatted_data["noiseLevel"] == "medium"
-        ):
-            metadata.noise_level = NoiseLevel.medium
-        elif (
-            formatted_data["noiseLevel"] == "l"
-            or formatted_data["noiseLevel"] == "loud"
-        ):
-            metadata.noise_level = NoiseLevel.loud
-        else:
-            msg = "unexpected values for noiseLevel\n"
-            msg += "expected 'q' or 'm' or 'l' but got '{}'"
-            msg = msg.format(formatted_data["noiseLevel"])
-            raise BadDictionaryValueError(msg)
-
-        metadata.location = formatted_data["location"]
-        metadata.tone = formatted_data["tone"]
-        metadata.timestamp = formatted_data["timestamp"]
-        metadata.username = formatted_data["username"]
-
-        metadata.filename = formatted_data["filename"]
-
-        # insert this new metadata object into the AudioSampleMetaData table
-        self.session.add(metadata)
-        self.session.commit()
-        return True
-
-    def save_course(self, course_data: dict):
-        """
-        Save the course into the NimbusDatabase.
-
-        course_data this point looks like:
-        {
-            "dept": CPE,
-            "courseNum": 357,
-            "units": 4,
-            "termsOffered": "F,W,SP",
-            "courseName": "Systems Programming",
-            "raw_concurrent_text": "N/A",
-            "raw_recommended_text": "N/A",
-            "raw_prerequisites_text": "CSC/CPE,102,and,CSC/CPE,103,with,..."
-        }
+        filter_fields is a list of variable names (strings) to match for when running an 
+        update query. If not provided, defaults to an empty list (basically an INSERT)
 
         Raises:
             BadDictionaryKeyError - ...
@@ -716,142 +524,52 @@ def save_course(self, course_data: dict):
         Returns:
             True if all is good, else False
         """
-        expected_keys = {'dept', 'courseNum', 'units',
-                         'termsOffered', 'courseName', 'raw_concurrent_text',
-                         'raw_recommended_text', 'raw_prerequisites_text'}
-        self.validate_input_keys(course_data, expected_keys)
-
-        course = self.session.query(Courses).filter_by(dept=course_data['dept'],
-                                                       courseNum=course_data['courseNum']).first()
-        if not course:
-            course = Courses()
-
-        course.dept = course_data['dept']
-        course.courseNum = course_data['courseNum']
-        course.termsOffered = course_data['termsOffered']
-        course.units = course_data['units']
-        course.courseName = course_data['courseName']
-        course.raw_concurrent_text = course_data['raw_concurrent_text']
-        course.raw_recommended_text = course_data['raw_recommended_text']
-        course.raw_prerequisites_text = course_data['raw_prerequisites_text']
-
-        self.session.add(course)
-        self.session.commit()
 
-    def save_location(self, location_data: dict):
-        """
-        Save the given location data into the database.
+        # Validate input
+        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
 
-        Example Input:
-        {
-            "building_number": 1,
-            "name": "Administration",
-            "longitude": -120.658561,
-            "latitude": 35.300960
-        }
-        Args:
-            location_data: a dictionary that corresponds to the fields in Locations
+        # Grab the entity class attributes
+        entity_attributes = entity_type.__dict__
+        entity = None
 
-        Raises:
-            BadDictionaryKeyError - ...
-            BadDictionaryValueError - ...
+        # If filter_fields is provided, we can check if we are performing an UPDATE or INSERT.
+        if not filter_fields == []:
+            query = self.session.query(entity_type)
 
-        Returns:
-            True if all good, else False
-        """
-        expected_keys = {'building_number', 'name', 'longitude', 'latitude'}
-        self.validate_input_keys(location_data, expected_keys)
-
-        location = self.session.query(Locations).filter_by(name=location_data['name']).first()
-        if not location:
-            location = Locations()
-
-        location.building_number = location_data["building_number"]
-        location.name = location_data["name"]
-        location.longitude = location_data["longitude"]
-        location.latitude = location_data["latitude"]
-
-        self.session.add(location)
-        self.session.commit()
-        return True
-
-    def save_calendar(self, calendar_data: dict):
-        """
-         Save the given calendar into the database.
-
-         Example input:
-         {
-             "date": 7_4_2020,
-             "day": 4,
-             "month": July,
-             "year": 2020,
-             "raw_events_text": ['Academic holiday - Independence Day Observed']
-         }
-
-         Args:
-             calendar_data: a dictionary that corresponds to the fields in Calendar
-
-         Raises:
-             BadDictionaryKeyError - ...
-             BadDictionaryValueError - ...
-
-         Returns:
-             True if all is good, else False
-        """
-        expected_keys = {'date', 'day', 'month', 'year', 'raw_events_text'}
-        self.validate_input_keys(calendar_data, expected_keys)
-
-        calendar = self.session.query(Calendars).filter_by(date=calendar_data['date'],
-                                                           raw_events_text=calendar_data['raw_events_text']).first()
-        if not calendar:
-            calendar = Calendars()
-
-        calendar.date = calendar_data["date"]
-        calendar.day = calendar_data["day"]
-        calendar.month = calendar_data["month"]
-        calendar.year = calendar_data["year"]
-        calendar.raw_events_text = calendar_data["raw_events_text"]
+            for field in filter_fields:
+                query = query.filter(getattr(entity_type, field) == data_dict[field])
 
-        self.session.add(calendar)
+            entity = query.first()
+            if entity:
+                print("\033[93mUpdating {} in {}...\033[00m".format(
+                      entity, entity_attributes['__tablename__']))
+            else:
+                entity = entity_type()
+                print("\033[96mInserting into {}...\033[00m".format(
+                      entity_attributes['__tablename__']))
+        else:
+            entity = entity_type()
+            print("\033[96mInserting into {}...\033[00m".format(
+                  entity_attributes['__tablename__']))
+            
+        # Grab the entity class fields by cleaning the attributes dictionary - discard anything
+        # with underscores in the front or back
+        # Note: Make sure you don't label any important data fields with underscores
+        # in the front or back!
+        entity_fields = dict(filter(lambda i: not (i[0][0] == '_' or i[0][-1] == '_'), 
+                                    entity_attributes.items()))
+
+        # Ignore the first field, since it's assumed to be a primary key
+        # Populate the entity with values from data_dict
+        for entity_field in list(entity_fields.keys())[1:]:
+            setattr(entity, entity_field, data_dict[entity_field])
+
+        # Perform the actual UPDATE or INSERT
+        print("Saving to database: {}...".format(entity))
+        self.session.add(entity)
         self.session.commit()
-        return True
-
-    def save_faculty(self, professor: dict) -> bool:
-        """
-         Save the given professor into the database.
-
-         Example input:
-         {
-             "id": 1,
-             "firstName": "Tim",
-             "lastName": "Kearns",
-             "phoneNumber": "805-123-4567" ,
-             "researchInterests": "algorithms, databases",
-             "email": "tkearns@calpoly.edu"
-         }
-
-         Args:
-             professor: a dictionary that corresponds to the fields in Professor
-
-         Raises:
-             BadDictionaryKeyError - ...
-             BadDictionaryValueError - ...
-
-         Returns:
-             True if all is good, else False
-        """
+        print("\033[92mSaved!\033[00m")
 
-        professor_data = Professors()
-        professor_data.id = professor["id"]
-        professor_data.firstName = professor["firstName"]
-        professor_data.lastName = professor["lastName"]
-        professor_data.phoneNumber = professor["phoneNumber"]
-        professor_data.researchInterests = professor["researchInterests"]
-        professor_data.email = professor["email"]
-
-        # insert this new professor_data object into the Professors table
-        self.session.add(professor_data)
-        self.session.commit()
         return True
 
     def _execute(self, query: str):
@@ -863,18 +581,16 @@ def __del__(self):
 
 if __name__ == "__main__":
     db = NimbusMySQLAlchemy()
-
     db._create_all_tables()
 
     data = {
         "building_number": 1,
         "name": "Administration",
         "longitude": -120.658561,
-        "latitude": 35.300960,
+        "latitude": 35.300960
     }
 
-    db.save_location(data)
-
+    db.save_entity(Locations, data)
 
     data = {
         "club_name": "Cal Poly Computer Science and Artificial Intelligence",
@@ -889,7 +605,7 @@ def __del__(self):
         "affiliation": "None"
     }
 
-    db.save_club(data)
+    db.save_entity(Clubs, data)
 
     data = {
         "section_name": "CSC 480_06",
@@ -906,7 +622,7 @@ def __del__(self):
         "department": "CENG-Computer Science & Software Engineering"
     }
 
-    db.save_section(data)
+    db.save_entity(Sections, data)
 
     print(
         "\n", "\n", "What clubs does is Kurfess advise?", "\n", "\n",
@@ -961,4 +677,3 @@ def __del__(self):
 
     print("\n\nQA Tuple list\n\n", db.get_all_qa_pairs(), "\n\n")
     db.return_qa_pair_csv()
-

From 125f8bad116b90b60a48ce7dae1e97e0f089aadb Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Fri, 28 Feb 2020 17:06:26 -0800
Subject: [PATCH 126/272] Remove save_audio_sample_meta_data

---
 database_wrapper.py | 75 ++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 74 insertions(+), 1 deletion(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index eac5663..f9ecdbb 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -525,10 +525,19 @@ def save_entity(self, entity_type, data_dict: dict, filter_fields=[]) -> bool:
             True if all is good, else False
         """
 
+        # Maps Entity classes that need extra data formatting to their formatting methods
+        format_method_by_entity = {
+            AudioSampleMetaData : self.format_audio_sample_meta_data_dict
+        }
+
         # Validate input
         self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
 
-        # Grab the entity class attributes
+        # If the data is supposed to be formatted, format it!
+        if entity_type in format_method_by_entity:
+            data_dict = format_method_by_entity[entity_type](data_dict)
+
+        # Grab the entity class attributes and initialize entity to None
         entity_attributes = entity_type.__dict__
         entity = None
 
@@ -572,6 +581,70 @@ def save_entity(self, entity_type, data_dict: dict, filter_fields=[]) -> bool:
 
         return True
 
+    def format_audio_sample_meta_data_dict(self, raw_data_dict: dict) -> dict:
+        """
+        raw_data_dict at this point looks like:
+        {
+            "isWakeWord": True,
+            "firstName": "jj",
+            "lastName": "doe",
+            "gender": "f",
+            "noiseLevel": "q",
+            "location": "here",
+            "tone": "serious-but-not-really",
+            "timestamp": 1577077883,
+            "username": "guest",
+            "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"  # noqa because too hard.
+        }
+
+        Raises:
+            BadDictionaryValueError - ...
+
+        Returns:
+            A new, formatted data dictionary
+        """
+
+        formatted_data = raw_data_dict
+
+        isWW = raw_data_dict["isWakeWord"]
+        if (isWW == "ww") or (isWW is True):
+            formatted_data.pop('isWakeWord')
+            formatted_data['is_wake_word'] = True
+        elif (isWW == "nww") or (isWW is False):
+            formatted_data.pop('isWakeWord')
+            formatted_data['is_wake_word'] = False
+        else:
+            msg = "unexpected values for isWakeWord\n"
+            msg += "expected 'ww' or True or 'nww' or False but got '{}'"
+            msg = msg.format(raw_data_dict["isWakeWord"])
+            raise BadDictionaryValueError(msg)
+
+        if (
+            raw_data_dict["noiseLevel"] == "q"
+            or raw_data_dict["noiseLevel"] == "quiet"
+        ):
+            formatted_data.pop('noise_level')
+            formatted_data['noise_level'] = NoiseLevel.quiet
+        elif (
+            raw_data_dict["noiseLevel"] == "m"
+            or raw_data_dict["noiseLevel"] == "medium"
+        ):
+            formatted_data.pop('noise_level')
+            formatted_data['noise_level'] = NoiseLevel.medium
+        elif (
+            raw_data_dict["noiseLevel"] == "l"
+            or raw_data_dict["noiseLevel"] == "loud"
+        ):
+            formatted_data.pop('noise_level')
+            formatted_data['noise_level'] = NoiseLevel.loud
+        else:
+            msg = "unexpected values for noiseLevel\n"
+            msg += "expected 'q' or 'm' or 'l' but got '{}'"
+            msg = msg.format(raw_data_dict["noiseLevel"])
+            raise BadDictionaryValueError(msg)
+
+        return formatted_data
+
     def _execute(self, query: str):
         return self.engine.execute(query)
 

From 6c7c45a38c30be88f103c695fb0c34db035285cc Mon Sep 17 00:00:00 2001
From: Adam Perlin <adamp@nanosoft.com>
Date: Fri, 28 Feb 2020 17:26:46 -0800
Subject: [PATCH 127/272] Fix for scikit-learn version and nimbus_nlp model
 imports

---
 nimbus_nlp/__init__.py            | 0
 nimbus_nlp/question_classifier.py | 2 +-
 requirements.txt                  | 2 +-
 3 files changed, 2 insertions(+), 2 deletions(-)
 create mode 100644 nimbus_nlp/__init__.py

diff --git a/nimbus_nlp/__init__.py b/nimbus_nlp/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index d8755c6..38f00cf 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -6,7 +6,7 @@
 import pandas as pd
 import sys
 import json
-from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
+from save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
 
diff --git a/requirements.txt b/requirements.txt
index 65ab8fb..393c2e5 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -72,7 +72,7 @@ PyYAML==5.3
 regex==2020.2.20
 requests==2.23.0
 rsa==4.0
-scikit-learn==0.22.2
+scikit-learn==0.20.2
 scipy==1.4.1
 six==1.13.0
 sklearn==0.0

From 9e025d82b8333c8cba6e8c0e8941b761954738f2 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Fri, 28 Feb 2020 17:38:13 -0800
Subject: [PATCH 128/272] Fix gunicorn_config to be compatible with Heroku
 virtualization

---
 gunicorn_config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gunicorn_config.py b/gunicorn_config.py
index a68e359..cf64a3a 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -7,4 +7,4 @@
 # Gunicorn config
 bind = ":" + str(PORT)
 workers = multiprocessing.cpu_count() * 2 + 1
-threads = 2 * multiprocessing.cpu_count()
+threads = 3

From f7a65611f4e0c2dcf61ed1b46c106aa1dc18b32e Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Fri, 28 Feb 2020 17:41:02 -0800
Subject: [PATCH 129/272] Updated gunicorn config to be compatible with Heroku

---
 gunicorn_config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gunicorn_config.py b/gunicorn_config.py
index cf64a3a..47a5d45 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -6,5 +6,5 @@
 
 # Gunicorn config
 bind = ":" + str(PORT)
-workers = multiprocessing.cpu_count() * 2 + 1
+workers = 3
 threads = 3

From 37d2610443d680974fdaefe24d4e9b10fe868097 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Fri, 28 Feb 2020 18:27:21 -0800
Subject: [PATCH 130/272] mvp

---
 config_SAMPLE.json       |  6 ++++++
 database_wrapper.py      |  3 ++-
 nimbus_nlp/NIMBUS_NLP.py | 16 +++++++++++++---
 3 files changed, 21 insertions(+), 4 deletions(-)

diff --git a/config_SAMPLE.json b/config_SAMPLE.json
index 8eaeb52..ce30da5 100644
--- a/config_SAMPLE.json
+++ b/config_SAMPLE.json
@@ -1,4 +1,10 @@
 {
+    "PYDRIVE_CLIENT_ID": "SECRET",
+    "PYDRIVE_CLIENT_SECRET": "SECRET",
+    "GOOGLE_DRIVE_CREDENTIALS": "SECRET",
+    "GOOGLE_DRIVE_FOLDER_ID": "SECRET",
+    "GOOGLE_CLOUD_NLP_CREDENTIALS": "SECRET",
+    "GOOGLE_CLOUD_NLP_MODEL_NAME": "SECRET",
     "mysql": {
         "host": "HOSTNAME",
         "port": "PORT e.g. 3306",
diff --git a/database_wrapper.py b/database_wrapper.py
index 74b6b19..ba77394 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -441,7 +441,8 @@ def get_property_from_entity(
         if len(results) < 1:
             return None
 
-        return sorted(results, key=lambda pair: pair[0])[0][2]
+        sorted_results = sorted(results, key=lambda pair: pair[0])
+        return sorted_results[-1][2]
 
     def get_course_properties(
         self, department: str, course_num: Union[str, int]
diff --git a/nimbus_nlp/NIMBUS_NLP.py b/nimbus_nlp/NIMBUS_NLP.py
index 66942bf..3457dd4 100644
--- a/nimbus_nlp/NIMBUS_NLP.py
+++ b/nimbus_nlp/NIMBUS_NLP.py
@@ -1,4 +1,4 @@
-import nltk
+import nl
 import numpy as np
 import os
 import pandas as pd
@@ -6,6 +6,7 @@
 import sklearn.neighbors
 import spacy
 import sys
+import json
 
 from google.api_core.client_options import ClientOptions
 from google.cloud import automl_v1
@@ -49,10 +50,19 @@ def predict_question(input_question):
     
 
 class Variable_Extraction:
-    def __init__(self):
+    def __init__(self, config_file: str = "config.json"):
+
+        with open(config_file) as json_data_file:
+            config = json.load(json_data_file)
+
+        if config.get("GOOGLE_CLOUD_NLP_MODEL_NAME", False):
+            self.model_name = config["GOOGLE_CLOUD_NLP_MODEL_NAME"]
+        else:
+            msg = "config.json is missing {} field.".format("GOOGLE_CLOUD_NLP_MODEL_NAME")
+            raise Exception(msg)
 
-        self.model_name = "projects/550037488827/locations/us-central1/models/TEN122771468357468160"
         credential_path = os.getcwd() + "/auth.json"
+        # TODO: consider does this even do anything useful?
         os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
 
     def inline_text_payload(self, sent):

From 3ac68aa90fab260351edaa5e3335f995265d6f5a Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Fri, 28 Feb 2020 18:46:41 -0800
Subject: [PATCH 131/272] nl -> nltk

---
 nimbus_nlp/NIMBUS_NLP.py          | 9 +--------
 nimbus_nlp/question_classifier.py | 1 -
 nimbus_nlp/save_and_load_model.py | 5 -----
 3 files changed, 1 insertion(+), 14 deletions(-)

diff --git a/nimbus_nlp/NIMBUS_NLP.py b/nimbus_nlp/NIMBUS_NLP.py
index 3457dd4..112ab6b 100644
--- a/nimbus_nlp/NIMBUS_NLP.py
+++ b/nimbus_nlp/NIMBUS_NLP.py
@@ -1,16 +1,9 @@
-import nl
-import numpy as np
+
 import os
-import pandas as pd
-import re
-import sklearn.neighbors
-import spacy
-import sys
 import json
 
 from google.api_core.client_options import ClientOptions
 from google.cloud import automl_v1
-from google.cloud.automl_v1.proto import service_pb2
 
 # Temporary import for the classifier
 from nimbus_nlp.question_classifier import QuestionClassifier
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index d8755c6..0f2d001 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -4,7 +4,6 @@
 import numpy as np
 import sklearn.neighbors
 import pandas as pd
-import sys
 import json
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 
diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
index 37c493a..3ba6ec5 100644
--- a/nimbus_nlp/save_and_load_model.py
+++ b/nimbus_nlp/save_and_load_model.py
@@ -1,9 +1,4 @@
 import os
-import numpy as np
-import pandas as pd
-from sklearn.model_selection import train_test_split
-from sklearn.feature_extraction import DictVectorizer
-from sklearn import svm
 from sklearn.externals import joblib
 import pickle
 from datetime import datetime

From dc3922041e62606f8c380c4a6ed554d90fb207f5 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Fri, 28 Feb 2020 18:50:24 -0800
Subject: [PATCH 132/272] downloads stopwords corpus

---
 nimbus_nlp/question_classifier.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 0f2d001..b24d93c 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -12,6 +12,7 @@
 
 class QuestionClassifier:
     def __init__(self):
+        nltk.download('stopwords')
         self.classifier = None
         self.nlp = spacy.load('en_core_web_sm')
         self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}

From 0d17a9f263172fd9c48122514197cc57191f03eb Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 18:53:35 -0800
Subject: [PATCH 133/272] nlp stuff

also ignore settings.yml
---
 .gitignore            | 4 ++++
 Dockerfile            | 3 +++
 download_nlp_stuff.sh | 1 +
 requirements.txt      | 1 +
 4 files changed, 9 insertions(+)
 create mode 100755 download_nlp_stuff.sh

diff --git a/.gitignore b/.gitignore
index 63092c6..3fe47eb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,6 @@
+nimbus/*
+
+
 .idea/*
 .pyre/*
 
@@ -117,3 +120,4 @@ folder_id.txt
 settings.yaml
 .export_env_vars
 auth.json
+settings.yml
diff --git a/Dockerfile b/Dockerfile
index 9911792..166fe2e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -46,6 +46,9 @@ WORKDIR /nimbus
 # generate all the special configuration files
 RUN ./setup_special_files_from_env.py
 
+# download the nlp stuff
+RUN ./download_nlp_stuff.sh
+
 # just make sure the file is there
 RUN ls | grep config
 
diff --git a/download_nlp_stuff.sh b/download_nlp_stuff.sh
new file mode 100755
index 0000000..10af08b
--- /dev/null
+++ b/download_nlp_stuff.sh
@@ -0,0 +1 @@
+python3 -m spacy download en_core_web_sm
diff --git a/requirements.txt b/requirements.txt
index 393c2e5..4fb9072 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,6 +11,7 @@ Click==7.0
 cymem==2.0.3
 dataclasses==0.7
 entrypoints==0.3
+en-core-web-sm==2.2.5
 flake8==3.7.9
 Flask==1.1.1
 Flask-Cors==3.0.8

From ad3c989a49860f66e6f6fea18774ad013ba5c116 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 18:57:22 -0800
Subject: [PATCH 134/272] this requirement is handled by ./download_nlp_stuff

---
 requirements.txt | 1 -
 1 file changed, 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 4fb9072..393c2e5 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,7 +11,6 @@ Click==7.0
 cymem==2.0.3
 dataclasses==0.7
 entrypoints==0.3
-en-core-web-sm==2.2.5
 flake8==3.7.9
 Flask==1.1.1
 Flask-Cors==3.0.8

From 51bc8cd8cbfd4835b89f68a6be818d42bebc3c8b Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Fri, 28 Feb 2020 20:10:41 -0800
Subject: [PATCH 135/272] Update .gitignore

---
 .gitignore | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 3fe47eb..9532684 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,4 @@
-nimbus/*
+nvenv/*
 
 
 .idea/*

From 3e88490ef3bf4bf2bdb081aae26ad3192f38fabf Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 1 Mar 2020 12:59:26 -0800
Subject: [PATCH 136/272] This should be OK to delete since we have nimbus_nlp

---
 nimbus-nlp/NIMBUS_NLP.py                      | 185 ------
 .../nlp-model_02_23_2020_14_52_48.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_23_2020_14_53_28.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_37_02.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_39_24.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_45_29.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_57_43.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_59_57.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_25_2020_00_00_38.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_25_2020_00_01_30.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_25_2020_00_03_40.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_20_30_27.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_20_32_32.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_21_08_26.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_24_13.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_33_03.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_34_28.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_42_43.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_50_04.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_51_10.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_53_51.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_56_20.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_28_2020_00_00_28.pkl         | Bin 3588699 -> 0 bytes
 .../nlp-model_02_28_2020_00_11_52.pkl         | Bin 3579755 -> 0 bytes
 .../models/features/overall_features.json     |   1 -
 nimbus-nlp/question_classifier.py             | 281 ----------
 nimbus-nlp/question_set_clean.csv             | 529 ------------------
 nimbus-nlp/save_and_load_model.py             |  39 --
 28 files changed, 1035 deletions(-)
 delete mode 100644 nimbus-nlp/NIMBUS_NLP.py
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl
 delete mode 100644 nimbus-nlp/models/classification/nlp-model_02_28_2020_00_11_52.pkl
 delete mode 100644 nimbus-nlp/models/features/overall_features.json
 delete mode 100644 nimbus-nlp/question_classifier.py
 delete mode 100644 nimbus-nlp/question_set_clean.csv
 delete mode 100644 nimbus-nlp/save_and_load_model.py

diff --git a/nimbus-nlp/NIMBUS_NLP.py b/nimbus-nlp/NIMBUS_NLP.py
deleted file mode 100644
index d64c9b3..0000000
--- a/nimbus-nlp/NIMBUS_NLP.py
+++ /dev/null
@@ -1,185 +0,0 @@
-import nltk
-import numpy as np
-import os
-import pandas as pd
-import re
-import sklearn.neighbors
-import spacy
-import sys
-
-from google.api_core.client_options import ClientOptions
-from google.cloud import automl_v1
-from google.cloud.automl_v1.proto import service_pb2
-
-# Temporary import for the classifier
-from question_classifier import QuestionClassifier
-
-class NIMBUS_NLP:
-
-    @staticmethod
-    def predict_question(input_question):
-        '''
-        Runs through variable extraction and the question classifier to
-        predict the intended question.
-
-        Args: input_question (string) - user input question to answer
-
-        Return: nlp_props (dict) - contains the user's input question,
-                                   the variable extracted input question,
-                                   the entity extracted, and the predicted
-                                   answer
-
-        '''
-
-        # Instantiate the variable extraction class
-        variable_extraction = Variable_Extraction()
-
-        # Obtain the properties from variable extraction
-        nlp_props = variable_extraction.extract_variables(input_question)
-
-        # Instantiate the question classifier class
-        classifier = QuestionClassifier()
-        classifier.load_latest_classifier()
-        
-        # Classify the question and add it to the nlp properties dictionary 
-        nlp_props["question class"] = classifier.\
-                classify_question(nlp_props["normalized question"])
-        
-        return nlp_props
-    
-
-class Variable_Extraction:
-    def __init__(self):
-
-        self.model_name = None # replace with the project model id
-        credential_path = None # replace with the path to the credential json
-        os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
-
-    def inline_text_payload(self, sent):
-        '''
-        Converts the input sentence into GCP's callable format
-
-        Args: sent (string) - input sentence
-
-        Return: (dict) - GCP NER input format
-
-        '''
-
-        return {'text_snippet': {'content': sent, 'mime_type': 'text/plain'} }
-
-    def get_prediction(self, sent):
-        '''
-        Obtains the prediction from the input sentence and returns the
-        normalized sentence
-
-        Args: sent (string) - input sentence
-
-        Return: request (PredictObject) - predictiton output
-        ''' 
-        
-        params = {}
-        
-        # Setup API 
-        options = ClientOptions(api_endpoint='automl.googleapis.com')
-        
-        # Create prediction object
-        predictor = automl_v1.PredictionServiceClient(client_options=options)
-
-        # Format input sentence
-        payload = self.inline_text_payload(sent)
-        
-        # Make prediction API call
-        request = predictor.predict(self.model_name, payload, params)
-
-        # Return the output of the API call
-        return request
-
-    def extract_variables(self, sent):
-        '''
-        Takes the prediction and replaces the entity with its corresponding tag
-
-        Args: sent (string) - input sentence
-
-        Return: (dict) -    "entity" - extracted entity 
-                            "tag" - tag of the extracted entity 
-                            "normalized entity" - stripped entity
-                            "input question" - input question from the user
-                            "normalized question" - variable-replaced question
-        '''
-
-        # Make the prediction
-        request = self.get_prediction(sent)
-
-        # Obtain the entity in the sentence
-        entity = request.payload[0].text_extraction.text_segment.content 
-        
-        # Obtain the predicted tag 
-        tag = request.payload[0].display_name
-
-        # Removes excessive words from the entity
-        normalized_entity = Variable_Extraction.excess_word_removal(entity, tag)
-
-        # Replaces the entity of input question with its corresponding tag
-        normalized_question = sent.replace(entity, '[' + tag + ']')
-        
-        return {
-                    "entity"                : entity,
-                    "tag"                   : tag,
-                    "normalized entity"     : normalized_entity,
-                    "input question"        : sent,
-                    "normalized question"   : normalized_question
-               }
-
-    @staticmethod    
-    def excess_word_removal(entity, tag):
-        '''
-        Checks the tag and determines which excess word removal function to use
-
-        Args: entity (string) - extracted entity from the input question
-
-        Return: (string) - returns the normalized entity string
-
-        '''
-
-        if (tag == 'PROF'):
-            return Variable_Extraction.strip_titles(entity)
-
-        else:
-            return entity
-
-    @staticmethod
-    def strip_titles(entity):
-        '''
-        Strips titles from input entities
-
-        Args: entity (string) - extracted entity from the input question
-
-        Return: norm_entity (string) - the normalized, title-stripped entity
-
-        '''
-
-        # list of titles for removal
-        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.",\
-                  "mr.", "ms.", "mrs", "mr", "ms", "mister"}
-
-        # tokenizes the entity
-        for name in entity.split():
-
-            # checks each token with the titles set and replaces the title
-            # if it is within the word
-            if name.lower() in titles:
-                return entity.replace(name + " ", "")
-
-        # returns the original entity string 
-        # if there is no title in the word
-        return entity
-
-#TODO: Add the Question_Classifier code directly into this file
-class Question_Classifier:
-    pass
-
-if __name__ == '__main__':
-    while True:
-        question = input("Enter a question: ")
-        answer = NIMBUS_NLP.predict_question(question)
-        print(answer)
diff --git a/nimbus-nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl b/nimbus-nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
deleted file mode 100644
index 8d12a937945d9052fe28fc298e24f4bcfb054db1..0000000000000000000000000000000000000000
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diff --git a/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl b/nimbus-nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
deleted file mode 100644
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diff --git a/nimbus-nlp/models/features/overall_features.json b/nimbus-nlp/models/features/overall_features.json
deleted file mode 100644
index 45b5372..0000000
--- a/nimbus-nlp/models/features/overall_features.json
+++ /dev/null
@@ -1 +0,0 @@
-{"[COURSE]": 0, "is": 0, "what": 0, "are": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "have": 0, "prereq": 0, "major": 0, "avoid": 0, "section": 0, "time": 0, "next": 0, "quarter": 0, "offered": 0, "how": 0, "many": 0, "offer": 0, "count": 0, "unit": 0, "towards": 0, "when": 0, "typically": 0, "going": 0, "go": 0, "tutuoring": 0, "tutuor": 0, "Is": 0, "information": 0, "currently": 0, "4": 0, "class": 0, "prerequisite": 0, "term": 0, "consent": 0, "instructor": 0, "get": 0, "recommend": 0, "need": 0, "order": 0, "upper": 0, "divisional": 0, "c": 0, "good": 0, "short": 0, "path": 0, "stand": 0, "people": 0, "limit": 0, "total": 0, "credit": 0, "select": 0, "tech": 0, "elective": 0, "structure": 0, "crosslist": 0, "another": 0, "department": 0, "grade": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "include": 0, "group": 0, "work": 0, "project": 0, "base": 0, "build": 0, "similar": 0, "consider": 0, "pass": 0, "fail": 0, "hour": 0, "week": 0, "spent": 0, "much": 0, "spend": 0, "per": 0, "year": 0, "In": 0, "available": 0, "fulfill": 0, "one": 0, "requirement": 0, "use": 0, "anything": 0, "lecture": 0, "COURSE": 0, "make": 0, "lab": 0, "Are": 0, "instead": 0, "alternative": 0, "Have": 0, "something": 0, "else": 0, "substitute": 0, "stat": 0, "-PRON-": 0, "preqs": 0, "statistic": 0, "necessary": 0, "degree": 0, "'s": 0, "soon": 0, "help": 0, "minor": 0, "contribute": 0, "ever": 0, "description": 0, "learn": 0, "usually": 0, "ge": 0, "needed": 0, "classes": 0, "list": 0, "math": 0, "approval": 0, "graduate": 0, "level": 0, "undergraduate": 0, "non": 0, "part": 0, "datum": 0, "science": 0, "teach": 0, "teacher": 0, "taught": 0, "past": 0, "programming": 0, "experience": 0, "taken": 0, "flowchart": 0, "open": 0, "who": 0, "high": 0, "rank": 0, "teaching": 0, "low": 0, "complete": 0, "last": 0, "workshop": 0, "study": 0, "session": 0, "worth": 0, "number": 0, "comes": 0, "come": 0, "teaches": 0, "cs": 0, "se": 0, "basis": 0, "prerequesite": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "professor": 0, "corsslist": 0, "prerequisites": 0, "rat": 0, "polyrat": 0, "that": 0, "schedule": 0, "tutoring": 0, "provided": 0, "provide": 0, "[PROF]": 0, "like": 0, "research": 0, "area": 0, "PROF": 0, "proposal": 0, "write": 0, "cal": 0, "poly": 0, "website": 0, "where": 0, "building": 0, "student": 0, "office": 0, "right": 0, "later": 0, "today": 0, "tomorrow": 0, "email": 0, "average": 0, "polyrating": 0, "review": 0, "recent": 0, "professors": 0, "first": 0, "phone": 0, "rating": 0, "faculty": 0, "advisor": 0, "interest": 0, "interested": 0, "researching": 0, "liked": 0, "well": 0, "has": 0, "url": 0, "different": 0, "school": 0, "attended": 0, "attend": 0, "csse": 0, "program": 0, "long": 0, "start": 0, "was": 0, "working": 0, "still": 0, "been": 0, "Did": 0, "computer": 0, "publish": 0, "paper": 0, "submit": 0, "contributed": 0, "digital": 0, "common": 0, "Has": 0, "written": 0, "advised": 0, "senior": 0, "advise": 0, "whose": 0, "length": 0, "published": 0, "journal": 0, "papers": 0, "contact": 0, "reach": 0, "room": 0, "find": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "shares": 0, "share": 0, "anyone": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "position": 0, "member": 0, "moment": 0, "place": 0, "campus": 0, "professional": 0, "distinction": 0, "bs": 0, "master": 0, "doctorate": 0, "day": 0, "neighbor": 0, "be": 0, "recognize": 0, "difficulty": 0, "present": 0, "material": 0, "clearly": 0, "give": 0, "polylearn": 0, "[MMC]": 0, "mathematic": 0, "support": 0, "option": 0, "approve": 0, "technical": 0, "external": 0, "taking": 0, "gre": 0, "acceptance": 0, "1": 0, "availabe": 0, "satisfy": 0, "pre": 0, "requisite": 0, "obtain": 0, "blended": 0, "ms": 0, "concentration": 0, "life": 0, "optional": 0, "skip": 0, "ap": 0, "ib": 0, "adds": 0, "add": 0, "least": 0, "amount": 0, "graduation": 0, "general": 0, "education": 0, "break": 0, "double": 0, "enrolled": 0, "enrol": 0, "blend": 0, "inquiry": 0, "switch": 0, "minimum": 0, "contain": 0, "free": 0, "gpa": 0, "enroll": 0, "category": 0, "educational": 0, "objective": 0, "outcome": 0, "resource": 0, "advising": 0, "independent": 0, "step": 0, "apply": 0, "application": 0, "declare": 0, "question": 0, "doubt": 0, "would": 0, "sense": 0, "MMC": 0, "allowed": 0, "allow": 0, "accredits": 0, "accredit": 0, "units": 0, "[DEPT]": 0, "crosslisted": 0, "club": 0, "does": 0, "type": 0, "sign": 0, "tutor": 0, "accreditation": 0, "belong": 0, "college": 0, "[CLUB]": 0, "president": 0, "homepage": 0, "box": 0, "social": 0, "medium": 0, "account": 0, "follow": 0, "facebook": 0, "new": 0, "post": 0, "event": 0, "officer": 0, "meeting": 0, "locate": 0, "affiliated": 0, "affiliate": 0, "vice": 0, "secretary": 0, "treasurer": 0, "posted": 0, "30": 0, "joined": 0, "join": 0, "used": 0, "follower": 0, "instagram": 0, "establish": 0, "team": 0, "held": 0, "hold": 0, "link": 0, "do": 0, "location": 0, "online": 0, "describe": 0, "could": 0, "brief": 0, "overview": 0, "chief": 0, "touch": 0, "adviser": 0, "[SECRET_HIDEOUT]": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus-nlp/question_classifier.py b/nimbus-nlp/question_classifier.py
deleted file mode 100644
index 8bc2b62..0000000
--- a/nimbus-nlp/question_classifier.py
+++ /dev/null
@@ -1,281 +0,0 @@
-import re
-import nltk
-import spacy
-import numpy as np
-import sklearn.neighbors
-import pandas as pd
-import sys
-import json
-from save_and_load_model import save_model, load_latest_model
-
-# TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
-
-
-class QuestionClassifier:
-    def __init__(self):
-        self.classifier = None
-        self.nlp = spacy.load('en_core_web_sm')
-        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
-        self.overall_features = {}
-
-    def train_model(self):
-        self.save_model = save_model
-
-
-        # REPLACE WITH API EVENTUALLY
-        self.file_path = "question_set_clean.csv"
-
-        # The possible WH word tags returned through NLTK part of speech tagging
-
-
-        self.classifier = self.build_question_classifier()
-        save_model(self.classifier, "nlp-model")
-
-
-    def load_latest_classifier(self):
-        self.classifier = load_latest_model()
-        with open('models/features/overall_features.json', 'r') as fp:
-            self.overall_features = json.load(fp)
-
-    def get_question_features(self, question):
-        # print("using new algorithm")
-        """
-        Method to extract features from each individual question.
-        """
-        features = {}
-
-        # Extract the main verb from the question before additional processing
-        main_verb = str(self.extract_main_verb(question))
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-
-        filtered_words = self.get_lemmas(words)
-
-        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
-        stemmed_main_verb = self.nlp(main_verb)[0]
-        features[stemmed_main_verb.text] = 60
-
-        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
-        # WITH WEIGHT 60
-        words_pos = nltk.pos_tag(filtered_words)
-        for word_pos in words_pos:
-            if self.is_wh_word(word_pos[1]):
-                features[word_pos[0]] = 60
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
-            if word not in features:
-                features[word] = 30
-
-        return features
-
-    def get_question_features_old_algorithm(self, question):
-        print("using old algorithm....")
-        """
-            Method to extract features from each individual question.
-            """
-        features = {}
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-        filtered_words = self.get_lemmas(words)
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        features[filtered_words[0]] = 60
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            features[word] = 30
-
-        return features
-
-    # EXTRACTS THE MAIN VERB FROM A QUESTION USING THE DEPENDENCY TREE
-    # THE MAIN VERB OF THE QUESTION SHOULD BE THE ROOT OF THE TREE
-    # Note: this method of extracting the main verb is not perfect, but
-    # for single sentence questions that should have no ambiguity about the main verb,
-    # it should be sufficient.
-    def extract_main_verb(self, question):
-        doc = self.nlp(question)
-        sents = list(doc.sents)
-        if len(sents) == 0:
-            raise ValueError("Empty question")
-
-        return sents[0].root
-
-    def get_lemmas(self, words):
-        return [self.nlp(word)[0].lemma_ for word in words]
-
-    def is_wh_word(self, pos):
-        return pos in self.WH_WORDS
-
-    def build_question_classifier(self):
-        """
-        Build overall feature set for each question based on feature vectors of individual questions.
-        Train KNN classification model with overall feature set.
-        """
-
-        # READ QUESTIONS
-        questions = pd.read_csv('question_set_clean.csv')
-        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
-        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
-
-        question_features = questions['features'].values.tolist()
-
-        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
-        for feature in question_features:
-            for key in feature:
-                if key not in self.overall_features:
-                    self.overall_features[key] = 0
-        self.overall_features["not related"] = 0
-
-
-        vectors = []
-        for feature in question_features:
-            vector = dict.fromkeys(self.overall_features, 0)
-            for key in feature:
-                vector[key] = feature[key]
-            vectors.append(np.array(list(vector.values())))
-
-        y_train = questions['questionFormat']
-        vectors = np.array(vectors)
-        y_train = np.array(y_train)
-        new_classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
-        new_classifier.fit(vectors, y_train)
-
-        with open('models/features/overall_features.json', 'w') as fp:
-            json.dump(self.overall_features, fp)
-
-        return new_classifier
-
-    def filterWHTags(self, question):
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-
-        filtered_words = self.get_lemmas(words)
-
-        question_tags = nltk.pos_tag(filtered_words)
-        question_tags = [
-            tag for tag in question_tags if self.is_wh_word(tag[1])]
-        return question_tags
-
-    def validate_WH(self, test_question, predicted_question):
-        """
-        Assumes that only 1 WH word exists
-        Returns True if the WH word in the test question equals the
-        WH word in the predicted question
-        """
-
-        test_tags = self.filterWHTags(test_question)
-        predicted_tags = self.filterWHTags(predicted_question)
-
-        # Uncomment these lines below to see
-        # print("Test")
-        # print(test_tags)
-        # print()
-
-        # print("Predicted")
-        # print(predicted_tags)
-        # print()
-
-        # Compares all WH words in the tags array and returns False if one doesn't match
-        min_tag_len = min(len(test_tags), len(predicted_tags))
-        wh_match = True
-        i = 0
-        while (wh_match and i < min_tag_len):
-            wh_match = wh_match and (test_tags[i][0] == predicted_tags[i][0])
-            i += 1
-        return wh_match
-
-    def classify_question(self, test_question):
-        """
-        Match a user query with a question in the database based on the classifier we trained and overall features we calculated.
-        Return relevant question.
-        """
-        if self.classifier is None:
-            raise ValueError("Classifier not initialized")
-
-        #if self.use_new:
-        test_features = self.get_question_features(test_question)
-        #else:
-        #    test_features = self.get_question_features_old_algorithm(
-        #        test_question)
-        test_vector = dict.fromkeys(self.overall_features, 0)
-        for key in test_features:
-            if key in test_vector:
-                test_vector[key] = test_features[key]
-            #else:
-                # IF A WORD IS NOT IN THE EXISTING FEATURE SET, IT MAY BE A QUESTION WE CANNOT ANSWER.
-            #    test_vector["not related"] += 250
-        test_vector = np.array(list(test_vector.values()))
-        test_vector = test_vector.reshape(1, -1)
-        min_dist = np.min(self.classifier.kneighbors(test_vector, n_neighbors=1)[0])
-        if min_dist > 150:
-            return "I don't think that's a Statistics related question! Try asking something about the STAT curriculum."
-
-        predicted_question = self.classifier.predict(test_vector)[0]
-
-        wh_words_match = self.validate_WH(test_question, predicted_question)
-        # Uncomment to print whether the WH words match
-        # print("WH Words Match?:", wh_words_match)
-
-        if (not wh_words_match):
-            return "WH Words Don't Match"
-
-        return predicted_question
-
-
-def main():
-    # use_new = False
-    # print(sys.argv)
-    # if len(sys.argv) > 1 and sys.argv[1] == 'new':
-    #     use_new = True
-    classifier = QuestionClassifier()
-    # print(classifier.get_question_features(
-    #     "What are Foaad Khosmood's office hours?"))
-    # print(classifier.get_question_features(
-    #     "Does Foaad Khosmood have office hours?"))
-    # print(classifier.get_question_features("Who teaches CSC 480"))
-    # print(classifier.get_question_features("CSC 480 is taught by who?"))
-    # print(classifier.get_question_features("Khosmood teaches CSC 480?"))
-    # print(classifier.get_question_features(
-    #     "Whose office hours are between 1 and 2 pm?"))
-    # print(classifier.get_question_features("Where is Franz Kurfess' office?"))
-    # print(classifier.get_question_features("This is a normal sentence."))
-    # print(classifier.get_question_features("[COURSE] is taught by who?"))
-    # print(classifier.get_question_features("How do I register for classes?"))
-    #classifier.train_model()
-    classifier.load_latest_classifier()
-    print(classifier.classify_question("Which [PROF] teaches [COURSE]?"))
-
-
-if __name__ == "__main__":
-    main()
diff --git a/nimbus-nlp/question_set_clean.csv b/nimbus-nlp/question_set_clean.csv
deleted file mode 100644
index 33a34c8..0000000
--- a/nimbus-nlp/question_set_clean.csv
+++ /dev/null
@@ -1,529 +0,0 @@
-questionFormat
-What is [COURSE] about?
-What are the prereqs for [COURSE]?
-Which courses are required to be taken before [COURSE]?
-What courses have [COURSE] as a prereq?
-Which majors require [COURSE]?
-Which majors avoid [COURSE]?
-What are the sections times for [COURSE] next quarter?
-What are the sections times for [COURSE] this quarter?
-How many sections of [COURSE] are being offered this quarter?
-How many sections of [COURSE] are being offered next quarter?
-How many units does [COURSE] count towards?
-When is [COURSE] typically offered?
-During what quarters is [COURSE] typically offered?
-Is [COURSE] going to be offered next quarter?
-Is tutuoring offered for [COURSE]
-Is there any information on [COURSE]?
-Is [COURSE] currently offered?
-Is [COURSE] a 4 unit class?
-Does [COURSE] have any prerequisites?
-What terms is [COURSE] typically offered?
-Which terms is [COURSE] offered?
-Does [COURSE] require consent of instructor?
-Can I get into [COURSE] with instructor's consent?
-What are the prerequisites for [COURSE]?
-What classes do I have to take before [COURSE]?
-What are the recommended prerequisites for [COURSE]?
-What classes do I need in order to take [COURSE]?
-Which classes have [COURSE] as a prerequisite?
-Does [COURSE] have an upper divisional prerequisite?
-Do I need a C- or better in [COURSE] to take any other classes?
-What is the shortest path to taking [COURSE]?
-Which classes require [COURSE] standing?
-Which classes do not require [COURSE] standing?
-When do most people take [COURSE]?
-Is [COURSE] limited in total credit?
-Can I select [COURSE] as a tech elective?
-What is the structure of [COURSE]?
-How many units is [COURSE]?
-Is [COURSE] crosslisted in another department?
-Is [COURSE] credit/no credit grading only?
-What topics are covered in [COURSE]?
-What is the course title for [COURSE]?
-What is [COURSE] also called?
-What is the name of [COURSE]?
-What is the course code for [COURSE]?
-Does [COURSE] include group work?
-Is [COURSE] project based?
-What class should I take after [COURSE]?
-What classes build off [COURSE]?
-Which classes are most similar to [COURSE]?
-What classes should I take with [COURSE]?
-How many units do I need to take to be considered a [COURSE]?
-Can I take [COURSE] credit no credit?
-Can I take [COURSE] pass-fail?
-Is [COURSE] a required course?
-Do I have to take [COURSE]?
-How many hours a week is [COURSE]?
-How much time is spent in [COURSE] per week?
-How many times is [COURSE] offered per year?
-In how many quarters is [COURSE] offered?
-When is [COURSE] offered?
-When is [COURSE] available?
-When can I take [COURSE]?
-Does [COURSE] fulfill more than one requirement?
-Can I use [COURSE] to fulfill more than one requirement?
-How many units does [COURSE] have?
-How many units does [COURSE] fulfill?
-What does [COURSE] fulfill?
-Does [COURSE] fulfill anything?
-What requirements does [COURSE] fulfill?
-How many lectures does [COURSE] have?
-How many times a week does [COURSE] week?
-How many lectures make up [COURSE]?
-Does [COURSE] have a lab?
-Do I have to take a lab with [COURSE]?
-How many labs does [COURSE] have?
-How many prerequisites does [COURSE] have?
-Are there any prerequisites for [COURSE]?
-What classes can I take instead of [COURSE]?
-What are alternatives to [COURSE]?
-Are there any alternatives for [COURSE]?
-How many alternative does [COURSE] Have?
-Can I take something else instead of [COURSE]?
-What courses substitute [COURSE]?
-What STAT courses have [COURSE] as a prereq?
-What courses do you need to take before taking [COURSE]?
-Does [COURSE] have any preqs?
-Is [COURSE] being offered this quarter?
-Can I take [COURSE] this quarter?
-Do I need to take [COURSE] to major in Statistics?
-Is [COURSE] necessary to get a stats degree?
-When's the next time I can take [COURSE]?
-Is [COURSE] being offered soon?
-Does [COURSE] help me get a stats minor?
-Does [COURSE] contribute to my stats minor?
-Has [COURSE] ever been offered by the stats department?
-When has [COURSE] been offered?
-What class is [COURSE]?
-What is the description of [COURSE]?
-What do you learn in [COURSE]?
-What term is [COURSE] typically offered?
-When is [COURSE] usually offered?
-Does [COURSE] fulfill any GE requirements?
-How many prerequisite classes are needed for me to take [COURSE]?
-List classes below [COURSE].
-List classes above [COURSE].
-Does [COURSE] require any MATH classes?
-Which classes have a [COURSE] prerequisite?
-Does [COURSE] require instructor approval?
-Is [COURSE] being offered next quarter?
-Is [COURSE] a graduate level course?
-Is [COURSE] a undergraduate level course?
-Does [COURSE] have non-statistics prerequisites?
-Does [COURSE] have non-statistics and non-math prerequisites?
-Is [COURSE] part of the data science minor?
-What teachers teach [COURSE] this quarter?
-What teachers have taught [COURSE] in the past?
-Does [COURSE] require programming experience?
-When should [COURSE] be taken based on the stat flowchart?
-Are there sections for [COURSE] that are open next quarter?
-Who is the highest ranked teacher teaching [COURSE]?
-Who is the lowest ranked teacher teaching [COURSE]?
-What data science minor courses have [COURSE] as a prerequisite?
-Do I need [COURSE] to complete the data science minor?
-Is [COURSE] an upper level or lower level course?
-When was the last time [COURSE] was offered?
-Is [COURSE] an upper level course?
-Is [COURSE] a lower level course?
-When should I take [COURSE]?
-What is [COURSE]?
-Does the department offer [COURSE].
-What will I learn in [COURSE]?
-Is there a class on [COURSE]?.
-Are there any workshops or study sessions available for [COURSE]?
-What courses are needed to take [COURSE]?
-How much credits is [COURSE] worth?
-What is the number for [COURSE]?
-What courses have [COURSE] as a prerequisite?
-What comes after [COURSE]?
-What is the description for [COURSE]?
-Who should I take [COURSE] with?
-Who typically teaches [COURSE]?
-Does [COURSE] have any non CS/SE prerequisites?
-Is [COURSE] offered on a Credit/No Credit basis?
-Is there a grade prerequesite for [COURSE]?
-Does [COURSE] have any corequisites?
-Does [COURSE] have any concurrent enrollements?
-How is [COURSE] listed?
-Who is the best professor for [COURSE] with?
-Which professors have taught [COURSE]?
-Which quarter is [COURSE] typically offered?
-Does [COURSE] have a prerequisite from another department?
-What course number does [COURSE] have?
-What course name does [COURSE] have?
-How many units of lab does [COURSE] have?
-Are there any recommended classes for [COURSE]?
-Is [COURSE] corsslisted?
-Which departments does [COURSE] have prerequisites in?
-On what level is [COURSE]?
-Which courses require [COURSE]
-Who is the best professor to take for [COURSE]?
-Who teaches [COURSE]?
-Who is usually the professor for [COURSE]?
-Who has taught [COURSE] in the past?
-What is the highest rated polyrating professor for [COURSE]?
-What is the highest rated polyrating professor that is currently teaching [COURSE]?
-What is the highest rated polyrating professor that taught [COURSE] last quarter?
-What is the highest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
-What is the lowest rated polyrating professor for [COURSE]?
-What is the lowest rated polyrating professor that is currently teaching [COURSE]?
-What is the lowest rated polyrating professor that taught [COURSE] last quarter?
-What is the lowest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
-How many professors teach [COURSE]?
-Which professors teach [COURSE]?
-What professor(s) typically teach [COURSE]?
-What professor(s) teach [COURSE] this quarter?
-Which professors are teaching [COURSE] next quarter?
-Who are the professors teaching [COURSE] next quarter?
-Can I get tutoring in [COURSE]?
-Is tutoring available for [COURSE]?
-Is tutoring provided for [COURSE]?
-"During Stat tutoring, can I get help with [COURSE]"
-What courses is [PROF] teaching this quarter?
-What courses is [PROF] teaching next quarter?
-What is [PROF] schedule like this quarter?
-What is [PROF] schedule like next quarter?
-How many courses is [PROF] teaching?
-What are [PROF]'s research areas?
-How many research areas does [PROF] have?
-How many proposals has [PROF] written at Cal Poly?
-Does [PROF] have a website?
-What is [PROF]'s website?
-Where can I learn more about [PROF]?
-Does [PROF] have a Cal Poly website?
-What classes does [PROF] teach?
-What buildings does [PROF] teach in?
-How many students does [PROF] currently teach between all their classes?
-What time are all [PROF]'s classes taught?
-What classes are [PROF] teaching next quarter?
-When are [PROF]'s office hours?
-Does [PROF] have office hours right now?
-Does [PROF] have office hours later today?
-Does [PROF] have office hours tomorrow?
-Where is [PROF]'s office?
-How many office hours does [PROF] have this week?
-What is [PROF]'s email?
-How can I email [PROF]?
-What is the email of [PROF]?
-Is [PROF]'s email listed?
-What is [PROF]'s average PolyRating?
-What classes does [PROF] have PolyRatings for?
-How many PolyRatings does [PROF] have?
-Is [PROF] reviewed on PolyRatings?
-Does [PROF] have a PolyRating?
-When is the most recent PolyRating for [PROF]?
-What level of professor is [PROF]?
-List all [PROF] level professors.
-Is [PROF] a professor at Cal Poly?
-What is professor [PROF]'s first name?
-Does [PROF] currently teach at Cal Poly?
-What is [PROF]'s phone number?
-What is the phone number for [PROF]?
-How many phone numbers are listed for [PROF]?
-Does [PROF] have a phone number listed?
-Is there a phone number listed for [PROF]?
-Which courses does [PROF] teach?
-What is [PROF]'s poly rating?
-Is [PROF] a faculty advisor?
-What are the research interests of [PROF]?
-What research areas are [PROF] interested in?
-What is [PROF] researching?
-What is the average polyrating of [PROF]?
-What is [PROF] rated on polyratings?
-How good of a professor is [PROF]?
-Is [PROF] a good professor?
-Is [PROF] well liked?
-Which of [PROF] has the highest polyrating?
-What is the URL for [PROF]'s polyratings?
-How many different classes will [PROF] teach next quarter?
-What courses has [PROF] taught?
-What courses does [PROF] teach?
-What is [PROF] teaching this quarter?
-Is [PROF] teaching any classes this quarter?
-Where is [PROF] teaching right now?
-Where will [PROF] be teaching next?
-Where did [PROF] go to school?
-What degrees does [PROF] have?
-What schools has [PROF] attended?
-Who are the [PROF] in the CSSE program at Cal Poly?
-What school did [PROF] get their degree from?
-How many degrees does [PROF] have?
-How long has [PROF] taught at Cal Poly?
-What year did [PROF] start at Cal Poly?
-When did [PROF] start teaching at Cal Poly?
-Did [PROF] study at Cal Poly?
-When was [PROF] a professor at Cal Poly?
-What is the highest degree of [PROF]?
-Where did [PROF] get their most recent degree?
-What is [PROF]'s highest degree?
-Is [PROF] still working at Cal Poly?
-Does [PROF] still teach at Cal Poly?
-Has there ever been a professor [PROF] in Cal Poly CSSE?
-Did [PROF] ever teach in the computer science department?
-What published research projects does [PROF] have?
-How many research papers has [PROF] submitted for Cal Poly?
-What papers has [PROF] contributed to the Cal Poly Digital Commons?
-Has [PROF] published any papers?
-What research papers has [PROF] written?
-What senior projects has [PROF] advised?
-How many senior projects has [PROF] advised?
-What senior projects did [PROF] advise last year?
-Whose senior projects has [PROF] advised?
-What is the average length of papers published by [PROF]?
-Where can I learn more about [PROF]'s research?
-In what journals has [PROF] been published?
-What journals has [PROF] published papers in?
-How can I contact [PROF]?
-What is [PROF]'s contact information?
-What number do I call to reach [PROF]?
-How can I reach [PROF]?
-In what room is [PROF]'s office?
-Where can I find [PROF]'s website?
-Does [PROF] have a personal website?
-What is [PROF]'s home page?
-What is the email address of [PROF]?
-What is the office of [PROF]?
-What are the names and emails of all computer science [PROF]?
-Who are the computer science [PROF]s at Cal Poly?
-Who shares an office with [PROF]?
-Does anyone share an office with [PROF]?
-What time are [PROF]'s office hours?
-When can I visit [PROF]'s office?
-Is [PROF] hosting office hours right now?
-Is [PROF] in their office now?
-What is the job title of [PROF]?
-Is [PROF] a lecturer or a professor?
-What is the position of [PROF]?
-What is [PROF]'s job at Cal Poly?
-"In the CSSE department, how many faculty members are [PROF]?"
-How many computer science [PROF] are there at Cal Poly?
-Who are the professors with the last name [PROF]?
-Where is [PROF] right now?
-"At the moment, where is [PROF]?"
-Where is [PROF] currently?
-Where is the next place I can find [PROF]?
-When can I next find [PROF] on campus?
-What are [PROF]'s personal interests?
-What are [PROF]'s professional distinctions?
-Where did [PROF] get their BS?
-Which school did [PROF] get their BS at?
-Which school did [PROF] get their Master's at?
-Where did [PROF] get their Master's?
-Where did [PROF] get their doctorate?
-Which school did [PROF] get their doctorate at?
-When did [PROF] get their BS?
-What year did [PROF] get their BS?
-When did [PROF] get their Master's?
-What year did [PROF] get their Master's?
-When did [PROF] get their doctorate?
-What year did [PROF] get their doctorate?
-What is [PROF]'s title?
-What is the title of [PROF]?
-What is the phone number of [PROF]?
-What building is [PROF]'s office in?
-What time does [PROF] have office hours today?
-What days does [PROF] have office hours?
-Which professors neighbor [PROF]?
-How many professors neighbor [PROF]?
-When will [PROF] be at his/her office?
-Is [PROF] at their office right now?
-How many classes is [PROF] teaching this quarter?
-How many classes is [PROF] teaching next quarter?
-How many polyratings does [PROF] have?
-Does [PROF] recognize student difficulties?
-How well does [PROF] recognize student difficulties?
-Does [PROF] present material clearly?
-How clearly does [PROF] present material?
-What grades has [PROF] given out (on polylearn)?
-What is the average polyratings grade for [PROF]?
-What professional distinctions does [PROF] have?
-Does [PROF] have any areas of research?
-What are the Mathematics/Statistics Support Elective options for [MMC]
-What are the approved technical electives for [MMC]
-Which courses will count as approved external electives for [MMC]
-Is taking the GRE required for acceptance into the 4+1 program for [MMC]?
-What classes are availabe to satisfy the pre-requisite technical elective course for [MMC]?
-Which courses will count as approved pre-requisite technical electives for [MMC]
-What [MMC] electives are offered next quarter?
-What are the electives being offered for [MMC] next quarter?
-Which electives are offered for [MMC] for next quarter?
-What courses are required for the [MMC] minor?
-Which courses do I need to take for the [MMC] minor?
-How many units are required to obtain the 4+1 blended BS/MS degree for [MMC]?
-What courses are required for the [MMC] concentration?
-Which courses do I need to take for the [MMC] concentration?
-What are the life science support elective options for [MMC]
-What are the support course options for [MMC]?
-Which courses are part of the [MMC]?
-Which courses are optional for [MMC]?
-Which courses in [MMC] can I skip through AP Credit?
-Which courses in [MMC] can I skip through IB Credit?
-Which minor or concentration adds the least amount of graduation time to the [MMC]?
-How many general education courses do I need to take for the [MMC] major?
-How many support courses do I need to take for the [MMC] major?
-What is the units break down for [MMC] major?
-How many GE units do I need for the [MMC] major?
-How many support units do I need for the [MMC] major?
-How many units do I need for the [MMC] major?
-"In order to complete the [MMC] major, how many units will I need?"
-How many units do I need for the [MMC] minor?
-How many units does the [MMC] require?
-How many classes per quarter do I have to take for [MMC]?
-How many concentrations are there in [MMC]?
-How many courses are required for [MMC]?
-Can I double major with [MMC]?
-What are the degree requirements for [MMC]?
-How many students are enrolled in [MMC]?
-Is there a BS/MS blend with [MMC]?
-How many units are required for [MMC]?
-Does an inquiry need to be submitted to switch into [MMC]
-What are the minimum requirements to switch into [MMC]
-Does [MMC] contain any free electives?
-What courses are needed to obtain [MMC]
-Is there a GPA requirement to enroll in [MMC]
-How many tech electives are required for [MMC]?
-What are the general education categories required for [MMC] majors?
-Are there any [MMC] classes that can be taken by credit/no credit?
-Can any technical electives for [MMC] be taken by credit/no credit?
-How many GEs do I have to take in [MMC]?
-How many general educations do I have to take in [MMC]?
-How many general education classes do I have to take in [MMC]?
-How many units of electives do I need for [MMC]?
-What is the total number of units of electives needed to graduate in [MMC]?
-How many approved electives do I have to take for the [MMC]?
-What are the approved electives I can take for a [MMC]?
-What are the program educational objectives for the [MMC]?
-What are the learning outcomes of [MMC]?
-What are the learning outcomes for [MMC]?
-What are the [MMC] courses?
-What are the courses required for [MMC]?
-How many courses do we have in [MMC]?
-What are some [MMC] resources that are available?
-What resources are there for [MMC]?
-Where can I get advising for a [MMC]?
-What are the course numbers that are considered independent study in [MMC]?
-How many units do I need for a [MMC]?
-What are the steps to apply for the [MMC]?
-How do I apply for a [MMC]?
-What are the required courses for the [MMC]?
-What are the prerequisites for the [MMC]?
-Where can I get the application for the [MMC]?
-Where can I get the flowchart for the [MMC]?
-What courses should I take each quarter for the [MMC]?
-How many classes do I have to take for [MMC]?
-What is the total number of classes needed to graduate in [MMC]?
-How do I declare [MMC] concentration?
-Who are the minor advisors for [MMC]?
-Who can I contact to get more information about the [MMC]?
-Who can I contact if I have questions about [MMC]?
-Who will help me if I have doubts about [MMC]?
-Where can I get the flowchart for [MMC]?
-What are the GE area required for [MMC]?
-What are the undergraduate courses for [MMC]?
-What are the graduate courses for [MMC]?
-How many GE areas have to be completed for [MMC]?
-What minor would make more sense with [MMC]
-"At best, how long last [MMC]?"
-How many years are necessary to graduate from [MMC]?
-What are the tech electives for [MMC]?
-What courses are electives for [MMC]?
-What electives can I take to get a [MMC]?
-What courses are credit not allowed for [MMC]?
-What are the program objectives of [MMC]?
-How many people are in the classes for [MMC]?
-Who accredits the [MMC]?
-What are the prerequisites for [MMC]?
-Is there a [MMC] Minor?
-What is the [MMC] Minor?
-Is [MMC] a part of another department?
-Who is the advisor for [MMC]?
-How many units to get a Minor in [MMC]?
-How many prerequisites are there for [MMC]?
-How many students take [MMC]?
-Will [MMC] help me get a job?
-How many classes would I have to take to get a Minor in [MMC]?
-How do I learn more about [MMC]?
-Which classes are crosslisted in [DEPT]?
-What [DEPT] courses are required?
-What classes are required from [DEPT]?
-How many [DEPT] courses are required?
-How many courses from [DEPT] are required?
-How many classes of [DEPT] do I have to complete?
-What clubs does the [DEPT] department offer?
-How many clubs are in the [DEPT] department?
-What types of clubs does the [DEPT] department offer?
-How do you sign up to be a [DEPT] tutor?
-What accreditations does [DEPT] have?
-What college does [DEPT] belong to?
-What positions are available in [DEPT]?
-Can I get a job at Cal Poly in [DEPT]?
-Who is the advisor of the [CLUB] club?
-What is the email of the President of the [CLUB] club?
-What type of club is the [CLUB] club?
-What is the email for the advisor of the [CLUB] club?
-What is the [CLUB] club?
-What is the homepage of the [CLUB] club?
-What is the box number of the [CLUB] club?
-What is the email for the [CLUB] club?
-What are the social media accounts for the [CLUB] club?
-How many people follow the [CLUB] club's Facebook page?
-Are there any new posts on the [CLUB] club's Facebook page?
-What is the next event for [CLUB]?
-When is the next event for [CLUB]?
-Who are the officers for [CLUB] club?
-When are the meetings for [CLUB] club?
-When is the next meeting for [CLUB] club?
-Where is [CLUB] located?
-Does [CLUB] have their own room?
-What college is affiliated with the [CLUB] club?
-What are some past events of the [CLUB] club?
-What was the last event of the [CLUB] club?
-When was the last event of [CLUB] club?
-Who is the president of the [CLUB] club?
-Who is the vice president of the [CLUB] club?
-Who is the secretary of the [CLUB] club?
-Who is the treasurer of the [CLUB] club?
-How can I contact [CLUB]?
-What is the phone number of the President of the [CLUB] club?
-What is the phone number of the Advisor of the [CLUB] club?
-How many people posted on the [CLUB] club's Facebook page in the past 30 days?
-How many people joined the [CLUB] club's Facebook page in the past 30 days?
-What resources are used by the [CLUB] club?
-How many followers does the [CLUB] club's Instagram account have?
-How many accounts does the [CLUB]'s Instagram follow?
-When was the [CLUB] established?
-Does the [CLUB] have an office?
-Where is the office of the [CLUB]?
-How many officers does the [CLUB] have?
-How many teams does the [CLUB] have?
-Where will the next event of the [CLUB] be held?
-When will the next event of the [CLUB] be held?
-How many events does the [CLUB] have next week?
-What is the next event of the [CLUB]?
-What is the website link for [CLUB]?
-Is there a website for [CLUB]?
-How do I learn more about [CLUB]?
-What does [CLUB] do?
-Who should I contact for [CLUB]?
-Is there a contact for [CLUB]?
-What is the location of [CLUB]?
-Where is [CLUB]?
-Where can I visit [CLUB] online?
-What is the URL for [CLUB]?
-Can you describe the [CLUB]?
-Could you give me a brief overview of [CLUB]?
-Who is the chief contact for [CLUB]?
-Who should I get in touch with for [CLUB]?
-What is the general contact information for [CLUB]?
-Who is the club adviser for [CLUB]?
-What teachers teach a class in [SECRET_HIDEOUT]?
-Which classes are taught in [SECRET_HIDEOUT]?
-Do any teachers have office hours in [SECRET_HIDEOUT]?
-What professors have offices in [SECRET_HIDEOUT]?
-Which professors have office hours in [SECRET_HIDEOUT]?
-Who are the professors with office hours in [SECRET_HIDEOUT]?
-Whose office is in [SECRET_HIDEOUT]?
-Which professors have offices in building [SECRET_HIDEOUT]?
-How many professors have offices in building [SECRET_HIDEOUT]?
diff --git a/nimbus-nlp/save_and_load_model.py b/nimbus-nlp/save_and_load_model.py
deleted file mode 100644
index 37c493a..0000000
--- a/nimbus-nlp/save_and_load_model.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import os
-import numpy as np
-import pandas as pd
-from sklearn.model_selection import train_test_split
-from sklearn.feature_extraction import DictVectorizer
-from sklearn import svm
-from sklearn.externals import joblib
-import pickle
-from datetime import datetime
-from os import listdir
-from os.path import isfile, join
-import re
-
-PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
-now = datetime.now()
-date_time = now.strftime("_%m_%d_%Y_%H_%M_%S")
-
-
-def save_model(model, model_name):
-    save_path = PROJECT_DIR + '/models/classification/' + model_name + date_time + '.pkl'
-    f = open(save_path, 'wb')
-    pickle.dump(model, f)
-    f.close()
-    print('Saved model :', save_path)
-
-
-def load_model(model_name):
-    train_path = PROJECT_DIR + '/models/classification/' + model_name + '.joblib'
-    return joblib.load(train_path)
-
-def load_latest_model():
-    train_path = PROJECT_DIR + '/models/classification/'
-    onlyfiles = [f for f in listdir(train_path) if isfile(join(train_path, f))]
-    r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+_[\d]+_[\d]+)', f)[0], '%m_%d_%Y_%H_%M_%S')) for f in onlyfiles]
-    r = sorted(r, key=lambda x: x[1])
-    model_path = r[-1][0]
-    return joblib.load(train_path + model_path)
-
-

From 40bb9f3203b375e1673f9bf98a162cf57b354c4a Mon Sep 17 00:00:00 2001
From: Miles <snekiam@milesaikens.com>
Date: Sun, 1 Mar 2020 21:31:14 +0000
Subject: [PATCH 137/272] Update NLP scripts and question_classifier code

---
 download_nlp_stuff.sh             | 1 +
 download_nltk_stuff.py            | 3 +++
 nimbus_nlp/question_classifier.py | 2 +-
 3 files changed, 5 insertions(+), 1 deletion(-)
 create mode 100644 download_nltk_stuff.py

diff --git a/download_nlp_stuff.sh b/download_nlp_stuff.sh
index 10af08b..a6bef1e 100755
--- a/download_nlp_stuff.sh
+++ b/download_nlp_stuff.sh
@@ -1 +1,2 @@
 python3 -m spacy download en_core_web_sm
+python3 download_nltk_stuff.py
diff --git a/download_nltk_stuff.py b/download_nltk_stuff.py
new file mode 100644
index 0000000..fbe6518
--- /dev/null
+++ b/download_nltk_stuff.py
@@ -0,0 +1,3 @@
+import nltk
+nltk.download('punkt')
+nltk.download('averaged_perceptron_tagger')
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index efb785b..b24d93c 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -5,7 +5,7 @@
 import sklearn.neighbors
 import pandas as pd
 import json
-from save_and_load_model import save_model, load_latest_model, PROJECT_DIR
+from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
 

From 7e042ff2ee20a8117d1f7b14683c3b8ed325d7be Mon Sep 17 00:00:00 2001
From: mfekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 21:40:24 +0000
Subject: [PATCH 138/272] remove old models

---
 .../nlp-model_02_23_2020_14_52_48.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_23_2020_14_53_28.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_37_02.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_39_24.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_45_29.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_57_43.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_24_2020_23_59_57.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_25_2020_00_00_38.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_25_2020_00_01_30.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_25_2020_00_03_40.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_20_30_27.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_20_32_32.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_21_08_26.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_24_13.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_33_03.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_34_28.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_42_43.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_50_04.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_51_10.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_53_51.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_27_2020_23_56_20.pkl         | Bin 7774491 -> 0 bytes
 .../nlp-model_02_28_2020_00_00_28.pkl         | Bin 3588699 -> 0 bytes
 22 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_23_2020_14_53_28.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_39_24.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_45_29.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_57_43.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_00_38.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_01_30.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_20_30_27.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_20_32_32.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_21_08_26.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_24_13.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_33_03.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_34_28.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_42_43.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_50_04.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_51_10.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_53_51.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_27_2020_23_56_20.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_28_2020_00_00_28.pkl

diff --git a/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl b/nimbus_nlp/models/classification/nlp-model_02_23_2020_14_52_48.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_37_02.pkl
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl b/nimbus_nlp/models/classification/nlp-model_02_24_2020_23_59_57.pkl
deleted file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl b/nimbus_nlp/models/classification/nlp-model_02_25_2020_00_03_40.pkl
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deleted file mode 100644
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zDXP6K$Le+6i{5y#_UfnTwa-<*cHXJ|r?!jjGu1e;d1BY6t|QiN?seN<WiQ6|;a&HB
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z`U4-U!#Mt|UHS6yt9JjqpaDL6SGY33=j`Gg$Dh0V=hXqu-}LbD=j{pyLp-#rynOud
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L*_B^<;kN$|B4_6Q


From 629c037c532208d8131e20a6a2e82fcfa7fb2592 Mon Sep 17 00:00:00 2001
From: mfekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 21:42:50 +0000
Subject: [PATCH 139/272] pip3

---
 Makefile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Makefile b/Makefile
index affbcbc..3a98632 100644
--- a/Makefile
+++ b/Makefile
@@ -2,7 +2,7 @@ all:
 	#
 	# let's `make` life easier xD
 	# 
-	pip install invoke
+	pip3 install invoke
 	invoke list
 
 

From 69b7dc63bd415ba97ed7f273419aba41753ce4c0 Mon Sep 17 00:00:00 2001
From: Miles <snekiam@milesaikens.com>
Date: Sun, 1 Mar 2020 22:20:57 +0000
Subject: [PATCH 140/272] This fixes the segfaults on Ubuntu and Debian.  The
 import does not seem to be actually used by anyting, so we need to
 investigate why this fixes things. This causes a linting error for unused
 import

---
 nimbus.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/nimbus.py b/nimbus.py
index 2ef8f87..d12c614 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -1,3 +1,4 @@
+from werkzeug.exceptions import BadRequestKeyError
 from QA import create_qa_mapping, generate_fact_QA
 from nimbus_nlp.NIMBUS_NLP import NIMBUS_NLP
 
@@ -28,4 +29,4 @@ def answer_question(self, question):
     nimbus = Nimbus()
     while True:
         question = input("Enter a question: ")
-        print(nimbus.answer_question(question))
\ No newline at end of file
+        print(nimbus.answer_question(question))

From 8214be81ec357735b795e9d86ee6605023407a58 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 14:34:35 -0800
Subject: [PATCH 141/272] no threads needed

---
 gunicorn_config.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/gunicorn_config.py b/gunicorn_config.py
index 47a5d45..71767d7 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -7,4 +7,3 @@
 # Gunicorn config
 bind = ":" + str(PORT)
 workers = 3
-threads = 3

From 1afc248927b1f5c47b713ffced88f6c29c19817f Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 14:34:58 -0800
Subject: [PATCH 142/272] Update deploy.sh

---
 deploy.sh | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/deploy.sh b/deploy.sh
index 3332982..55eda8d 100755
--- a/deploy.sh
+++ b/deploy.sh
@@ -1,2 +1,5 @@
 #!/bin/bash
+python3 setup_special_files_from_env.py
+./download_nlp_stuff.sh
+python3 download_nltk_stuff.py
 gunicorn flask_api:app --config=gunicorn_config.py

From 483fe03fe7ffb451c95ccf178e2eb69d9e4955a2 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 14:36:05 -0800
Subject: [PATCH 143/272] Update requirements.txt

---
 requirements.txt | 57 ++++++++----------------------------------------
 1 file changed, 9 insertions(+), 48 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index 393c2e5..f13cbae 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,7 +1,3 @@
-appdirs==1.4.3
-astroid==2.3.3
-attrs==19.3.0
-black==19.10b0
 blis==0.4.1
 cachetools==4.0.0
 catalogue==1.0.0
@@ -9,88 +5,53 @@ certifi==2019.11.28
 chardet==3.0.4
 Click==7.0
 cymem==2.0.3
-dataclasses==0.7
-entrypoints==0.3
-flake8==3.7.9
 Flask==1.1.1
 Flask-Cors==3.0.8
 fuzzywuzzy==0.18.0
 google-api-core==1.16.0
 google-api-python-client==1.7.11
-google-auth==1.10.1
+google-auth==1.11.2
 google-auth-httplib2==0.0.3
 google-cloud==0.34.0
 google-cloud-automl==0.10.0
 googleapis-common-protos==1.51.0
 grpcio==1.27.2
 gunicorn==20.0.4
-httplib2==0.16.0
-hypothesis==5.3.1
+httplib2==0.17.0
 idna==2.9
-importlib-metadata==1.4.0
-invoke==1.4.1
-isort==4.3.21
+importlib-metadata==1.5.0
 itsdangerous==1.1.0
-Jinja2==2.10.3
-joblib==0.14.1
-lazy-object-proxy==1.4.3
-libcst==0.3.0
+Jinja2==2.11.1
 MarkupSafe==1.1.1
-mccabe==0.6.1
-more-itertools==8.1.0
+marshmallow==3.5.0
 murmurhash==1.0.2
-mypy==0.761
-mypy-extensions==0.4.3
 mysql-connector-python==8.0.18
 nltk==3.4.5
 numpy==1.18.1
 oauth2client==4.1.3
-packaging==20.1
 pandas==1.0.1
-pathspec==0.7.0
 plac==1.1.3
-pluggy==0.13.1
 preshed==3.0.2
-protobuf==3.10.0
-psutil==5.6.7
-py==1.8.1
+protobuf==3.11.3
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
-pycodestyle==2.5.0
 PyDrive==1.3.1
-pyflakes==2.1.1
-pylint==2.4.4
-pyparsing==2.4.6
-pyre-check==0.0.41
-pyre-extensions==0.0.16
-pytest==5.3.4
 python-dateutil==2.8.1
 python-Levenshtein==0.12.0
 pytz==2019.3
-pywatchman==1.4.1
 PyYAML==5.3
-regex==2020.2.20
 requests==2.23.0
 rsa==4.0
 scikit-learn==0.20.2
 scipy==1.4.1
-six==1.13.0
-sklearn==0.0
-sortedcontainers==2.1.0
+six==1.14.0
 spacy==2.2.3
 SQLAlchemy==1.3.13
 srsly==1.0.1
 thinc==7.3.1
-toml==0.10.0
 tqdm==4.43.0
-typed-ast==1.4.0
-typing-extensions==3.7.4.1
-typing-inspect==0.5.0
 uritemplate==3.0.1
 urllib3==1.25.8
 wasabi==0.6.0
-wcwidth==0.1.8
-Werkzeug==0.16.0
-wrapt==1.11.2
-yapf==0.29.0
-zipp==2.1.0
+Werkzeug==1.0.0
+zipp==3.0.0

From cf13c505e0a6c134eafb75950e1861ade2035fca Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 14:36:15 -0800
Subject: [PATCH 144/272] pipenv!!

---
 Pipfile      |  60 ++++
 Pipfile.lock | 989 +++++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 1049 insertions(+)
 create mode 100644 Pipfile
 create mode 100644 Pipfile.lock

diff --git a/Pipfile b/Pipfile
new file mode 100644
index 0000000..c9e7bba
--- /dev/null
+++ b/Pipfile
@@ -0,0 +1,60 @@
+[[source]]
+name = "pypi"
+url = "https://pypi.org/simple"
+verify_ssl = true
+
+[dev-packages]
+## mostly used in tests
+requests = "==2.23.0"
+## auto formatter
+### may need to run 
+### `pipenv lock --pre`
+### or 
+### `pipenv install --pre` 
+### to "Allow pre-releases" for black
+black = "==19.10b0" 
+## linter
+flake8 = "==3.7.9"
+## testing
+hypothesis = "==5.3.1"
+pytest = "==5.3.4"
+## type-checking
+pyre-check = "==0.0.41"
+## like the Unix `make` but better
+invoke = "==1.4.1"
+
+
+[packages]
+# REST API
+## minimal framework
+Flask = "==1.1.1"
+## for security
+Flask-Cors = "==3.0.8"
+## used with flask in deployment
+gunicorn = "==20.0.4"
+## simple JSON (de)serialization
+marshmallow = "*"
+# save to google drive
+PyDrive = "==1.3.1"
+# database
+## mysql client
+mysql-connector-python = "==8.0.18"
+## object-relational mapper
+SQLAlchemy = "==1.3.13"
+# QA.py
+pandas = "==1.0.1"
+fuzzywuzzy = "==0.18.0"
+python-Levenshtein = "==0.12.0"
+# natural language processing
+google-api-core = "==1.16.0"
+google-cloud = "==0.34.0"
+google-cloud-automl = "==0.10.0"
+nltk = "==3.4.5"
+spacy = "==2.2.3"
+scikit-learn = "==0.20.2"
+# misc
+## used to generate settings.yml
+PyYAML = "==5.3"
+
+[requires]
+python_version = "3.6"
diff --git a/Pipfile.lock b/Pipfile.lock
new file mode 100644
index 0000000..78353d5
--- /dev/null
+++ b/Pipfile.lock
@@ -0,0 +1,989 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "6028cc6ee0267fa988baf98523c048f753d8e62fe8f999d6ba493b0e2e6a7ad2"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.6"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "appdirs": {
+            "hashes": [
+                "sha256:9e5896d1372858f8dd3344faf4e5014d21849c756c8d5701f78f8a103b372d92",
+                "sha256:d8b24664561d0d34ddfaec54636d502d7cea6e29c3eaf68f3df6180863e2166e"
+            ],
+            "version": "==1.4.3"
+        },
+        "attrs": {
+            "hashes": [
+                "sha256:08a96c641c3a74e44eb59afb61a24f2cb9f4d7188748e76ba4bb5edfa3cb7d1c",
+                "sha256:f7b7ce16570fe9965acd6d30101a28f62fb4a7f9e926b3bbc9b61f8b04247e72"
+            ],
+            "version": "==19.3.0"
+        },
+        "black": {
+            "hashes": [
+                "sha256:1b30e59be925fafc1ee4565e5e08abef6b03fe455102883820fe5ee2e4734e0b",
+                "sha256:c2edb73a08e9e0e6f65a0e6af18b059b8b1cdd5bef997d7a0b181df93dc81539"
+            ],
+            "index": "pypi",
+            "version": "==19.10b0"
+        },
+        "blis": {
+            "hashes": [
+                "sha256:00473602629ba69fe6565108e21957e918cb48b59f5bf2f6bfb6e04de42500cb",
+                "sha256:03c368c9716ca814c436550a5f1e02ccf74850e613602519e3941d212e5aa177",
+                "sha256:135450caabc8aea9bb9250329ebdf7189982d9b57d5c92789b2ba2fe52c247a7",
+                "sha256:1402d9cbb0fbc21b749dd5b87d7ee14249e74a0ca38be6ecc56b3b356fca2f21",
+                "sha256:26b16d6005bb2671699831b5cc699905215d1abde1ec5c1d04de7dcd9eb29f75",
+                "sha256:3347a4b1b7d3ae14476aac9a6f7bf8ebf464863f4ebf4aea228874a7694ea240",
+                "sha256:38fe877a4b52e762f5e137a412e3c256545a696a12ae8c40d67b8815d2bb5097",
+                "sha256:4fb89c47ee06b58a4410a16fd5794847517262c9d2a342643475b477dfeff0a4",
+                "sha256:77a6486b9794af01bcdfd1bc6e067c93add4b93292e6f95bf6e5ce7f98bf0163",
+                "sha256:856142a11e37fd2c47c5006a3197e157bb8469a491a73d2d442223dd3279df84",
+                "sha256:8aeaf6954351593a1e412f80e398aa51df588d3c0de74b9f3323b694c603381b",
+                "sha256:9ede123065f3cacb109967755b3d83d4ca0de90643a9058129a6ab2d4051954f",
+                "sha256:d1d59faebc1c94f8f4f77154ef4b9d6d40364b111cf8fde48ee3b524c85f1075",
+                "sha256:d69257d317e86f34a7f230a2fd1f021fd2a1b944137f40d8cdbb23bd334cd0c4",
+                "sha256:ddd732c5274d1082fa92e2c42317587d5ebabce7741ca98120f69bd45d004b99",
+                "sha256:f0b0dad4d6268d9dba0a65a9db12dd7a2d8686b648399e4aa1aec7550697e99e"
+            ],
+            "version": "==0.4.1"
+        },
+        "cachetools": {
+            "hashes": [
+                "sha256:9a52dd97a85f257f4e4127f15818e71a0c7899f121b34591fcc1173ea79a0198",
+                "sha256:b304586d357c43221856be51d73387f93e2a961598a9b6b6670664746f3b6c6c"
+            ],
+            "version": "==4.0.0"
+        },
+        "catalogue": {
+            "hashes": [
+                "sha256:584d78e7f4c3c6e2fd498eb56dfc8ef1f4ff738480237de2ccd26cbe2cf47172",
+                "sha256:d74d1d856c6b36a37bf14aa6dbbc27d0582667b7ab979a6108e61a575e8723f5"
+            ],
+            "version": "==1.0.0"
+        },
+        "certifi": {
+            "hashes": [
+                "sha256:017c25db2a153ce562900032d5bc68e9f191e44e9a0f762f373977de9df1fbb3",
+                "sha256:25b64c7da4cd7479594d035c08c2d809eb4aab3a26e5a990ea98cc450c320f1f"
+            ],
+            "version": "==2019.11.28"
+        },
+        "chardet": {
+            "hashes": [
+                "sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
+                "sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
+            ],
+            "version": "==3.0.4"
+        },
+        "click": {
+            "hashes": [
+                "sha256:2335065e6395b9e67ca716de5f7526736bfa6ceead690adf616d925bdc622b13",
+                "sha256:5b94b49521f6456670fdb30cd82a4eca9412788a93fa6dd6df72c94d5a8ff2d7"
+            ],
+            "version": "==7.0"
+        },
+        "cymem": {
+            "hashes": [
+                "sha256:5083b2ab5fe13ced094a82e0df465e2dbbd9b1c013288888035e24fd6eb4ed01",
+                "sha256:622c20a57701d02f01a47e856dea248e112638f28c8249dbe3ed95a9702e3d74",
+                "sha256:6f4cb689a9552e9e13dccc89203c8ab09f210a7ffb92ce27c384a4a0be27b527",
+                "sha256:719f04a11ca709fc2b47868070d79fccff77e5d502ff32de2f4baa73cb16166f",
+                "sha256:7236252bed70f37b898933dcf8aa875d0829664a245a272516f27b30439df71c",
+                "sha256:7f5ddceb12b73f7fd2e4398266401b6f887003740ccd18c989a2af04500b5f2b",
+                "sha256:85b9364e099426bd7f445a7705aad87bf6dbb71d79e3802dd8ca14e181d38a33",
+                "sha256:c288a1bbdf58c360457443e5297e74844e1961e5e7001dbcb3a5297a41911a11",
+                "sha256:cd21ec48ee70878d46c486e2f7ae94b32bfc6b37c4d27876c5a5a00c4eb75c3c",
+                "sha256:d7505c500d994f11662e5595f5002251f572acc189f18944619352e2636f5181",
+                "sha256:dd24848fbd75b17bab06408da6c029ba7cc615bd9e4a1f755fb3a090025fb922",
+                "sha256:f4f19af4bca81f11922508a9dcf30ce1d2aee4972af9f81ce8e5331a6f46f5e1"
+            ],
+            "version": "==2.0.3"
+        },
+        "dataclasses": {
+            "hashes": [
+                "sha256:3459118f7ede7c8bea0fe795bff7c6c2ce287d01dd226202f7c9ebc0610a7836",
+                "sha256:494a6dcae3b8bcf80848eea2ef64c0cc5cd307ffc263e17cdf42f3e5420808e6"
+            ],
+            "markers": "python_version < '3.7'",
+            "version": "==0.7"
+        },
+        "entrypoints": {
+            "hashes": [
+                "sha256:589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19",
+                "sha256:c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"
+            ],
+            "version": "==0.3"
+        },
+        "flake8": {
+            "hashes": [
+                "sha256:45681a117ecc81e870cbf1262835ae4af5e7a8b08e40b944a8a6e6b895914cfb",
+                "sha256:49356e766643ad15072a789a20915d3c91dc89fd313ccd71802303fd67e4deca"
+            ],
+            "index": "pypi",
+            "version": "==3.7.9"
+        },
+        "flask": {
+            "hashes": [
+                "sha256:13f9f196f330c7c2c5d7a5cf91af894110ca0215ac051b5844701f2bfd934d52",
+                "sha256:45eb5a6fd193d6cf7e0cf5d8a5b31f83d5faae0293695626f539a823e93b13f6"
+            ],
+            "index": "pypi",
+            "version": "==1.1.1"
+        },
+        "flask-cors": {
+            "hashes": [
+                "sha256:72170423eb4612f0847318afff8c247b38bd516b7737adfc10d1c2cdbb382d16",
+                "sha256:f4d97201660e6bbcff2d89d082b5b6d31abee04b1b3003ee073a6fd25ad1d69a"
+            ],
+            "index": "pypi",
+            "version": "==3.0.8"
+        },
+        "fuzzywuzzy": {
+            "hashes": [
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+                "sha256:169ba8a33788476292d04186ab33b01d6add475033dfc07215e6d219cc077096",
+                "sha256:6dc65cf9091cf750012f56f2cad759fa9e879f511b5ff8685e456b4e3bf90d16"
+            ],
+            "version": "==1.0.0"
+        },
+        "zipp": {
+            "hashes": [
+                "sha256:12248a63bbdf7548f89cb4c7cda4681e537031eda29c02ea29674bc6854460c2",
+                "sha256:7c0f8e91abc0dc07a5068f315c52cb30c66bfbc581e5b50704c8a2f6ebae794a"
+            ],
+            "version": "==3.0.0"
+        }
+    },
+    "develop": {}
+}

From 345f1ca87844556bf3da7162834274cb5bdb3a45 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 14:36:25 -0800
Subject: [PATCH 145/272] Update tasks.py

---
 tasks.py | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/tasks.py b/tasks.py
index 4a9c90e..e767da1 100644
--- a/tasks.py
+++ b/tasks.py
@@ -221,12 +221,14 @@ def docker(c, username=None, app_name="nimbus"):
     cmd += " --build-arg GOOGLE_DRIVE_FOLDER_ID"
     cmd += " --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS"
     cmd += " --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME"
-    cmd += f" -t {username}/{app_name} ."
+    cmd += f" -t \"{username}/{app_name}\" ."
 
     print(f"$ {cmd}\n")
-    c.run(cmd)  # run the docker build
+    c.run(cmd, pty=True)  # run the docker build
 
     # http://www.pyinvoke.org/faq.html#running-local-shell-commands-run
+    # --rm will make sure to remove the container on exit of shell
+    # otherwise docker containers will eat up your storage space
     cmd = f"docker run -it --rm -p 8080:8080  {username}/{app_name}"
     print(f"$ {cmd}\n")
     c.run(cmd, pty=True)  # run the docker run
@@ -250,7 +252,9 @@ def docker_shell(c, image_name=None):
             print("hey run this to make life easier...")
             print(f"export {ENV_KEY}={image_name}")
 
-    cmd = f"docker run -it {image_name} sh"
+    # --rm will make sure to remove the container on exit of shell
+    # otherwise docker containers will eat up your storage space
+    cmd = f"docker run -it --rm {image_name} sh"
     print(f"$ {cmd}\n")
     c.run(cmd, pty=True)  # run the docker interactive shell
 

From 03bd1b5746df2b1c20834fffe59464e282c39166 Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 1 Mar 2020 14:40:52 -0800
Subject: [PATCH 146/272] Split save_entity into insert_entity and
 update_entity

---
 database_wrapper.py | 294 ++++++++++++++++++++++++--------------------
 1 file changed, 164 insertions(+), 130 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index b43d5ff..c9940a5 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -31,8 +31,14 @@
 from fuzzywuzzy import fuzz
 
 
+GREEN_COLOR_CODE = "\033[92m"
+YELLOW_COLOR_CODE = "\033[93m"
+PURPLE_COLOR_CODE = "\033[95m"
+CYAN_COLOR_CODE = "\033[96m"
+RESET_COLOR_CODE = "\033[00m"
+
 UNION_ENTITIES = Union[
-    Calendars, Courses, Professors, AudioSampleMetaData, QuestionAnswerPair
+    AudioSampleMetaData, Calendars, Courses, Professors, QuestionAnswerPair
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
@@ -502,87 +508,157 @@ def get_course_properties(
             .all()
         )
 
-    def save_entity(self, entity_type, data_dict: dict, filter_fields=[]) -> bool:
+    def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         """
-        Save an entity into the database. Can only be used when the key names in data_dict
-        match the entity field names (order shouldn't matter, but cases and spelling do matter).
-
-        Note: INSERTs will be in cyan, and UPDATEs will be in yellow.
+        Validates that the data_dict's fields matches the entity_type's fields, and formats the data_dict
+        if necessary.
 
         data_dict should be a dictionary of field names and values, looking like:
         {
-            "field": value,
+            "fieldOne": valueOne,
             "..."  : ...
         }
 
-        filter_fields is a list of variable names (strings) to match for when running an 
-        update query. If not provided, defaults to an empty list (basically an INSERT)
-
         Raises:
             BadDictionaryKeyError - ...
             BadDictionaryValueError - ...
 
         Returns:
-            True if all is good, else False
+            The formatted data_dict if there was formatted run, otherwise an unmodified data_dict
         """
 
-        # Maps Entity classes that need extra data formatting to their formatting methods
         format_method_by_entity = {
             AudioSampleMetaData : self.format_audio_sample_meta_data_dict
         }
 
-        # Validate input
-        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
-
-        # If the data is supposed to be formatted, format it!
+        # Format data (if needed), and validate data
         if entity_type in format_method_by_entity:
             data_dict = format_method_by_entity[entity_type](data_dict)
 
+        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
+        return data_dict
+
+
+    def insert_entity(self, entity_type, data_dict: dict) -> bool:
+        """
+        Inserts an entity into the database. The keys of data_dict should follow camelCase
+        so they can be translated into snake_case.
+
+        data_dict should be a dictionary of field names and values, looking like:
+        {
+            "fieldOne": valueOne,
+            "..."  : ...
+        }
+
+        Raises:
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            True if all is good, else False
+        """
+
+        # Validate and format entity data
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+
+        # Grab the entity class attributes and initialize entity
+        entity_attributes = entity_type.__dict__
+        entity = entity_type()
+
+        # Logging...
+        print("{}Inserting into {}...{}".format(
+              CYAN_COLOR_CODE, entity_attributes['__tablename__'], RESET_COLOR_CODE))
+
+        # Grab the entity class fields by cleaning the attributes dictionary 
+        # and discard anything with underscores in the front or back
+        # Note: Make sure you don't label any important data fields with underscores in the front or back!
+        entity_fields = dict(filter(lambda i: not (i[0][0] == '_' or i[0][-1] == '_'), 
+                                    entity_attributes.items()))
+
+        # Ignore the first field, since it's assumed to be a primary key
+        # Populate the entity with values from formatted_data
+        for entity_field in list(entity_fields.keys())[1:]:
+            setattr(entity, entity_field, formatted_data[entity_field])
+
+        # Perform the INSERT
+        print("Saving to database: {}...".format(entity))
+        self.session.add(entity)
+        self.session.commit()
+        print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
+
+        return True
+
+    def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bool:
+        """
+        Updates an entity in the database. The keys of data_dict should follow camelCase
+        so they can be translated into snake_case.
+
+        data_dict should be a dictionary of field names and values, looking like:
+        {
+            "fieldOne": valueOne,
+            "..."  : ...
+        }
+
+        filter_fields is a list of variable names (strings) to match for when running an 
+        update query. If not provided, raises an error since it's not an update.
+
+        ex: passing in filter_fields=["name", "title"] will check for an existing entity that has the
+        same 'name' and 'title' values in the data_dict.
+
+        Raises:
+            RuntimeError - ...
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            True if all is good, else False
+        """
+
+        # If we're not filtering for anything, we shouldn't be calling update_entity
+        if len(filter_fields) == 0:
+            raise RuntimeError("update_entity for {} requires filter_fields list to filter by.".format(entity_type))
+
+        # Validate and format entity data
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+
         # Grab the entity class attributes and initialize entity to None
         entity_attributes = entity_type.__dict__
-        entity = None
-
-        # If filter_fields is provided, we can check if we are performing an UPDATE or INSERT.
-        if not filter_fields == []:
-            query = self.session.query(entity_type)
-
-            for field in filter_fields:
-                query = query.filter(getattr(entity_type, field) == data_dict[field])
-
-            entity = query.first()
-            if entity:
-                print("\033[93mUpdating {} in {}...\033[00m".format(
-                      entity, entity_attributes['__tablename__']))
-            else:
-                entity = entity_type()
-                print("\033[96mInserting into {}...\033[00m".format(
-                      entity_attributes['__tablename__']))
+
+        # Run a SELECT query to see if an entity that matches the values under the fields in the filter_fields list exists
+        query = self.session.query(entity_type)
+        for field in filter_fields:
+            query = query.filter(getattr(entity_type, field) == formatted_data[field])
+        entity = query.first()
+        print(entity)
+
+        if entity:
+            print("{}Updating {} in {}...{}".format(
+                  YELLOW_COLOR_CODE, entity, entity_attributes['__tablename__'], RESET_COLOR_CODE))
         else:
             entity = entity_type()
-            print("\033[96mInserting into {}...\033[00m".format(
-                  entity_attributes['__tablename__']))
-            
-        # Grab the entity class fields by cleaning the attributes dictionary - discard anything
-        # with underscores in the front or back
-        # Note: Make sure you don't label any important data fields with underscores
-        # in the front or back!
+            print("{}Matching Entity not found - Inserting {} in {}...{}".format(
+                  YELLOW_COLOR_CODE, entity, entity_attributes['__tablename__'], RESET_COLOR_CODE))
+
+        # Grab the entity class fields by cleaning the attributes dictionary - 
+        # discard anything with underscores in the front or back
+        # Note: Make sure you don't label any important data fields with underscores in the front or back!
         entity_fields = dict(filter(lambda i: not (i[0][0] == '_' or i[0][-1] == '_'), 
                                     entity_attributes.items()))
 
         # Ignore the first field, since it's assumed to be a primary key
-        # Populate the entity with values from data_dict
+        # Populate the entity with values from formatted_data
         for entity_field in list(entity_fields.keys())[1:]:
-            setattr(entity, entity_field, data_dict[entity_field])
+            setattr(entity, entity_field, formatted_data[entity_field])
 
-        # Perform the actual UPDATE or INSERT
+        # Perform the actual UPDATE/INSERT
         print("Saving to database: {}...".format(entity))
         self.session.add(entity)
         self.session.commit()
-        print("\033[92mSaved!\033[00m")
+        print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
 
         return True
 
-    def format_audio_sample_meta_data_dict(self, raw_data_dict: dict) -> dict:
+    def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
         """
         raw_data_dict at this point looks like:
         {
@@ -605,46 +681,42 @@ def format_audio_sample_meta_data_dict(self, raw_data_dict: dict) -> dict:
             A new, formatted data dictionary
         """
 
-        formatted_data = raw_data_dict
+        is_wake_word_by_label = {
+            "ww" : True,
+            "nww" : False,
+            True : True,
+            False : False
+        }
+
+        noise_level_by_label = {
+            "q" : NoiseLevel.quiet,
+            "quiet" : NoiseLevel.quiet,
+            "m" : NoiseLevel.medium,
+            "medium" : NoiseLevel.medium,
+            "l" : NoiseLevel.loud,
+            "loud" : NoiseLevel.loud
+        }
 
-        isWW = raw_data_dict["isWakeWord"]
-        if (isWW == "ww") or (isWW is True):
-            formatted_data.pop('isWakeWord')
-            formatted_data['is_wake_word'] = True
-        elif (isWW == "nww") or (isWW is False):
-            formatted_data.pop('isWakeWord')
-            formatted_data['is_wake_word'] = False
+        data_dict["first_name"] = data_dict.pop("firstName")
+        data_dict["last_name"] = data_dict.pop("lastName")
+
+        if data_dict["isWakeWord"] in is_wake_word_by_label:
+            data_dict["is_wake_word"] = is_wake_word_by_label[data_dict.pop("isWakeWord")]
         else:
             msg = "unexpected values for isWakeWord\n"
             msg += "expected 'ww' or True or 'nww' or False but got '{}'"
             msg = msg.format(raw_data_dict["isWakeWord"])
             raise BadDictionaryValueError(msg)
 
-        if (
-            raw_data_dict["noiseLevel"] == "q"
-            or raw_data_dict["noiseLevel"] == "quiet"
-        ):
-            formatted_data.pop('noise_level')
-            formatted_data['noise_level'] = NoiseLevel.quiet
-        elif (
-            raw_data_dict["noiseLevel"] == "m"
-            or raw_data_dict["noiseLevel"] == "medium"
-        ):
-            formatted_data.pop('noise_level')
-            formatted_data['noise_level'] = NoiseLevel.medium
-        elif (
-            raw_data_dict["noiseLevel"] == "l"
-            or raw_data_dict["noiseLevel"] == "loud"
-        ):
-            formatted_data.pop('noise_level')
-            formatted_data['noise_level'] = NoiseLevel.loud
+        if data_dict["noiseLevel"] in noise_level_by_label:
+            data_dict["noise_level"] = noise_level_by_label[data_dict.pop("noiseLevel")]
         else:
             msg = "unexpected values for noiseLevel\n"
             msg += "expected 'q' or 'm' or 'l' but got '{}'"
-            msg = msg.format(raw_data_dict["noiseLevel"])
+            msg = msg.format(data_dict["noiseLevel"])
             raise BadDictionaryValueError(msg)
 
-        return formatted_data
+        return data_dict
 
     def _execute(self, query: str):
         return self.engine.execute(query)
@@ -657,6 +729,21 @@ def __del__(self):
     db = NimbusMySQLAlchemy()
     db._create_all_tables()
 
+    data = {
+        "isWakeWord": True,
+        "firstName": "jj",
+        "lastName": "doe",
+        "gender": "f",
+        "noiseLevel": "q",
+        "location": "here",
+        "tone": "serious-but-not-really",
+        "timestamp": 1577077883,
+        "username": "guest",
+        "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"  # noqa because too hard.
+    }
+
+    db.insert_entity(AudioSampleMetaData, data)
+
     data = {
         "building_number": 1,
         "name": "Administration",
@@ -664,7 +751,7 @@ def __del__(self):
         "latitude": 35.300960
     }
 
-    db.save_entity(Locations, data)
+    db.update_entity(Locations, data, ['building_number'])
 
     data = {
         "club_name": "Cal Poly Computer Science and Artificial Intelligence",
@@ -679,7 +766,7 @@ def __del__(self):
         "affiliation": "None"
     }
 
-    db.save_entity(Clubs, data)
+    db.insert_entity(Clubs, data)
 
     data = {
         "section_name": "CSC 480_06",
@@ -696,58 +783,5 @@ def __del__(self):
         "department": "CENG-Computer Science & Software Engineering"
     }
 
-    db.save_entity(Sections, data)
-
-    print(
-        "\n", "\n", "What clubs does is Kurfess advise?", "\n", "\n",
-        db.get_property_from_entity(
-            prop="club_name", entity=Clubs, entity_string="Kurfess"
-        )
-    )
-
-    print(
-        "\n", "\n", "What sections is Kauffman teaching?", "\n", "\n",
-        db.get_property_from_entity(
-            prop="section_name", entity=Sections, entity_string="Kauffman"
-        )
-    )
-
-    print(
-        "\n", "\n", "What is the long & lat of Admin building?", "\n", "\n",
-        [
-            (x, y)
-            for x, y in zip(
-            db.get_property_from_entity(
-                prop="longitude", entity=Locations, entity_string="Admin"
-            ),
-            db.get_property_from_entity(
-                prop="latitude", entity=Locations, entity_string="Admin"
-            ),
-        )
-        ]
-    )
-
-    print(
-        "\n", "\n", "What courses are about Algo?", "\n", "\n",
-        db.get_property_from_entity(
-            prop="courseName", entity=Courses, entity_string="Algo"
-        )
-    )
-
-    print(
-        "\n", "\n", "What courses are about Design?", "\n", "\n",
-        db.get_property_from_entity(
-            prop="courseName", entity=Courses, entity_string="Design"
-        )
-    )
-
-    print(
-        "\n", "\n", "What courses are somehow related to 357?", "\n", "\n",
-        db.get_property_from_entity(
-            prop="courseName", entity=Courses, entity_string="357"
-        )
-    )
-
-
-    print("\n\nQA Tuple list\n\n", db.get_all_qa_pairs(), "\n\n")
-    db.return_qa_pair_csv()
+    db.insert_entity(Sections, data)
+    
\ No newline at end of file

From a6feedf10b6605f3a13eb83279567e09574cfa56 Mon Sep 17 00:00:00 2001
From: Miles <snekiam@milesaikens.com>
Date: Sun, 1 Mar 2020 22:45:05 +0000
Subject: [PATCH 147/272] Updated comment on phantom import.

---
 nimbus.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/nimbus.py b/nimbus.py
index d12c614..7d6bdfc 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -1,3 +1,10 @@
+# This import fixes a segfault on Ubuntu 18.04.1 LTS.  It doesn't seem to do anything,
+# and doesn't seem to be used by anything, but if its removed, the program segfaults.
+# See issue #90 on github. This segfault does not occur on Mac or Windows.
+# Feel free to debug this if you would like.  Current dev hours counter on this issue:
+# 30 hours
+# Update the counter above if you work on this issue.
+#
 from werkzeug.exceptions import BadRequestKeyError
 from QA import create_qa_mapping, generate_fact_QA
 from nimbus_nlp.NIMBUS_NLP import NIMBUS_NLP

From 99cdf07369b2b8aaa3924c9f66a55be68bec784f Mon Sep 17 00:00:00 2001
From: Jason Ku <jasonku99@gmail.com>
Date: Sun, 1 Mar 2020 14:52:11 -0800
Subject: [PATCH 148/272] Remove extra print statement

---
 database_wrapper.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index c9940a5..c5b0849 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -629,7 +629,6 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
         for field in filter_fields:
             query = query.filter(getattr(entity_type, field) == formatted_data[field])
         entity = query.first()
-        print(entity)
 
         if entity:
             print("{}Updating {} in {}...{}".format(
@@ -784,4 +783,4 @@ def __del__(self):
     }
 
     db.insert_entity(Sections, data)
-    
\ No newline at end of file
+    

From 862fb546051ce890b8588a880423b7b417a0475c Mon Sep 17 00:00:00 2001
From: taylor-nguyen-987 <43256137+taylor-nguyen-987@users.noreply.github.com>
Date: Sun, 1 Mar 2020 16:07:34 -0800
Subject: [PATCH 149/272] Create cases.py

This is an attempt to change camel case to snake case.
---
 utilities/cases.py | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)
 create mode 100644 utilities/cases.py

diff --git a/utilities/cases.py b/utilities/cases.py
new file mode 100644
index 0000000..23ba589
--- /dev/null
+++ b/utilities/cases.py
@@ -0,0 +1,16 @@
+object1 = 'myNumAndStringApplesAreCool42'
+object = []
+alreadyNum = True
+for char in object1: #for each character in the object
+    if char.isupper(): #if the character is uppercase
+        ascii = ord(char)
+        ascii += 32
+        object.append('_'+chr(ascii))
+    elif char in '0123456789' and alreadyNum == True:
+        alreadyNum = False
+        object.append('_'+str(char))
+    elif char in '0123456789' and alreadyNum == False:
+        object.append(char)
+    else:
+        object.append(char)
+print("".join(object)) #join the list
\ No newline at end of file

From 3f190f611deb12c9ed789a6ee85060bfedb6aae8 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 16:23:53 -0800
Subject: [PATCH 150/272] dockerfile works with ubuntu
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

(api) ➜  api git:(mf-pipenv) ✗ make docker
invoke docker
docker username? mfekadu
hey run this to make life easier...
export TASKS_DOCKER_USERNAME=mfekadu
make first sure to run...
source .export_env_vars

$ docker build --build-arg DATABASE_HOSTNAME --build-arg DATABASE_PASSWORD --build-arg DATABASE_USERNAME --build-arg DATABASE_NAME --build-arg PYDRIVE_CLIENT_ID --build-arg PYDRIVE_CLIENT_SECRET --build-arg GOOGLE_DRIVE_CREDENTIALS --build-arg GOOGLE_DRIVE_FOLDER_ID --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME -t "mfekadu/nimbus" .

Sending build context to Docker daemon  807.9MB
Step 1/32 : FROM ubuntu:latest
 ---> 72300a873c2c
Step 2/32 : RUN apt update
 ---> Using cache
 ---> 1ee360506a5b
Step 3/32 : RUN apt-get update   && apt-get install -y python3-pip python3-dev   && cd /usr/local/bin   && ln -s /usr/bin/python3 python   && pip3 install --upgrade pip
 ---> Using cache
 ---> c735d307d0ad
Step 4/32 : ADD requirements.txt /nimbus/requirements.txt
 ---> Using cache
 ---> dd08805e7479
Step 5/32 : RUN pip install -r /nimbus/requirements.txt
 ---> Using cache
 ---> 834de863ddfd
Step 6/32 : ADD . /nimbus
 ---> f0907b545ae6
Step 7/32 : ARG DATABASE_HOSTNAME
 ---> Running in deccb4bc94ed
Removing intermediate container deccb4bc94ed
 ---> a193318c442f
Step 8/32 : ARG DATABASE_PASSWORD
 ---> Running in 563e6ee43307
Removing intermediate container 563e6ee43307
 ---> 4a7e63ca082a
Step 9/32 : ARG DATABASE_USERNAME
 ---> Running in 911c38807bdc
Removing intermediate container 911c38807bdc
 ---> d2bd04f5c9cc
Step 10/32 : ARG DATABASE_NAME
 ---> Running in d85996cdb153
Removing intermediate container d85996cdb153
 ---> 3567fecef34e
Step 11/32 : ARG PYDRIVE_CLIENT_ID
 ---> Running in 7a1c2952c55e
Removing intermediate container 7a1c2952c55e
 ---> 533f944d96f9
Step 12/32 : ARG PYDRIVE_CLIENT_SECRET
 ---> Running in 9872599b9797
Removing intermediate container 9872599b9797
 ---> 28ff08b252fa
Step 13/32 : ARG GOOGLE_DRIVE_CREDENTIALS
 ---> Running in 99d5def24b99
Removing intermediate container 99d5def24b99
 ---> e5523833b10a
Step 14/32 : ARG GOOGLE_DRIVE_FOLDER_ID
 ---> Running in 65c5345933a4
Removing intermediate container 65c5345933a4
 ---> 9a38900bf9d4
Step 15/32 : ARG GOOGLE_CLOUD_NLP_CREDENTIALS
 ---> Running in 87a9c8e6ef4a
Removing intermediate container 87a9c8e6ef4a
 ---> fdd12cb65d9a
Step 16/32 : ARG GOOGLE_CLOUD_NLP_MODEL_NAME
 ---> Running in e2384898faa4
Removing intermediate container e2384898faa4
 ---> acbda2e77ea0
Step 17/32 : ENV DATABASE_HOSTNAME ${DATABASE_HOSTNAME}
 ---> Running in 3ef76a66a85d
Removing intermediate container 3ef76a66a85d
 ---> 70446d77d37e
Step 18/32 : ENV DATABASE_PASSWORD ${DATABASE_PASSWORD}
 ---> Running in 19cb15d63282
Removing intermediate container 19cb15d63282
 ---> 9057a33c4e94
Step 19/32 : ENV DATABASE_USERNAME ${DATABASE_USERNAME}
 ---> Running in 1492e273fa20
Removing intermediate container 1492e273fa20
 ---> 862726429857
Step 20/32 : ENV DATABASE_NAME ${DATABASE_NAME}
 ---> Running in 00b95ac5f7ea
Removing intermediate container 00b95ac5f7ea
 ---> 57e7fe2dfffa
Step 21/32 : ENV PYDRIVE_CLIENT_ID ${PYDRIVE_CLIENT_ID}
 ---> Running in d721d31eb624
Removing intermediate container d721d31eb624
 ---> a6600464716c
Step 22/32 : ENV PYDRIVE_CLIENT_SECRET ${PYDRIVE_CLIENT_SECRET}
 ---> Running in b197edc0ae83
Removing intermediate container b197edc0ae83
 ---> 6c8d4576bf12
Step 23/32 : ENV GOOGLE_DRIVE_CREDENTIALS ${GOOGLE_DRIVE_CREDENTIALS}
 ---> Running in 9df1f625a19c
Removing intermediate container 9df1f625a19c
 ---> 8d1f590f1f7a
Step 24/32 : ENV GOOGLE_DRIVE_FOLDER_ID ${GOOGLE_DRIVE_FOLDER_ID}
 ---> Running in 3ae756adfbff
Removing intermediate container 3ae756adfbff
 ---> 089ac4a00416
Step 25/32 : ENV GOOGLE_CLOUD_NLP_CREDENTIALS ${GOOGLE_CLOUD_NLP_CREDENTIALS}
 ---> Running in 3bb961d4ae8c
Removing intermediate container 3bb961d4ae8c
 ---> bd9e45764bae
Step 26/32 : ENV GOOGLE_CLOUD_NLP_MODEL_NAME ${GOOGLE_CLOUD_NLP_MODEL_NAME}
 ---> Running in efb294f0f567
Removing intermediate container efb294f0f567
 ---> 92185a606799
Step 27/32 : WORKDIR /nimbus
 ---> Running in c8288b4a31d4
Removing intermediate container c8288b4a31d4
 ---> 2d4894129e41
Step 28/32 : RUN ./setup_special_files_from_env.py
 ---> Running in 050398d53797
Removing intermediate container 050398d53797
 ---> f97224426ae8
Step 29/32 : RUN ./download_nlp_stuff.sh
 ---> Running in 55022b40f20b
Collecting en_core_web_sm==2.2.5
  Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.5/en_core_web_sm-2.2.5.tar.gz (12.0 MB)
Requirement already satisfied: spacy>=2.2.2 in /usr/local/lib/python3.6/dist-packages (from en_core_web_sm==2.2.5) (2.2.3)
Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (1.0.2)
Requirement already satisfied: wasabi<1.1.0,>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (0.6.0)
Requirement already satisfied: numpy>=1.15.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (1.18.1)
Requirement already satisfied: catalogue<1.1.0,>=0.0.7 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (1.0.0)
Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (3.0.2)
Requirement already satisfied: requests<3.0.0,>=2.13.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (2.23.0)
Requirement already satisfied: blis<0.5.0,>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (0.4.1)
Requirement already satisfied: plac<1.2.0,>=0.9.6 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (1.1.3)
Requirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (39.0.1)
Requirement already satisfied: srsly<1.1.0,>=0.1.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (1.0.1)
Requirement already satisfied: thinc<7.4.0,>=7.3.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (7.3.1)
Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.2.2->en_core_web_sm==2.2.5) (2.0.3)
Requirement already satisfied: importlib-metadata>=0.20; python_version < "3.8" in /usr/local/lib/python3.6/dist-packages (from catalogue<1.1.0,>=0.0.7->spacy>=2.2.2->en_core_web_sm==2.2.5) (1.5.0)
Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.2->en_core_web_sm==2.2.5) (2.9)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.2->en_core_web_sm==2.2.5) (1.25.8)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.2->en_core_web_sm==2.2.5) (2019.11.28)
Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.2->en_core_web_sm==2.2.5) (3.0.4)
Requirement already satisfied: tqdm<5.0.0,>=4.10.0 in /usr/local/lib/python3.6/dist-packages (from thinc<7.4.0,>=7.3.0->spacy>=2.2.2->en_core_web_sm==2.2.5) (4.43.0)
Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata>=0.20; python_version < "3.8"->catalogue<1.1.0,>=0.0.7->spacy>=2.2.2->en_core_web_sm==2.2.5) (3.0.0)
Building wheels for collected packages: en-core-web-sm
  Building wheel for en-core-web-sm (setup.py): started
  Building wheel for en-core-web-sm (setup.py): finished with status 'done'
  Created wheel for en-core-web-sm: filename=en_core_web_sm-2.2.5-py3-none-any.whl size=12012546 sha256=1eae991a1d7b9c047a3b0c498c672f572f6f02809e97d2fd937128b90e7ae775
  Stored in directory: /tmp/pip-ephem-wheel-cache-448snryk/wheels/b5/94/56/596daa677d7e91038cbddfcf32b591d0c915a1b3a3e3d3c79d
Successfully built en-core-web-sm
Installing collected packages: en-core-web-sm
Successfully installed en-core-web-sm-2.2.5
[+] Download and installation successful
You can now load the model via spacy.load('en_core_web_sm')
[nltk_data] Downloading package punkt to /root/nltk_data...
[nltk_data]   Unzipping tokenizers/punkt.zip.
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data]     /root/nltk_data...
[nltk_data]   Unzipping taggers/averaged_perceptron_tagger.zip.
Removing intermediate container 55022b40f20b
 ---> e4c52eab5707
Step 30/32 : RUN ls | grep config
 ---> Running in 1286c66e3acd
config.json
config_SAMPLE.json
gunicorn_config.py
Removing intermediate container 1286c66e3acd
 ---> ff53b3f4f97f
Step 31/32 : WORKDIR /nimbus
 ---> Running in f50a77b8dac1
Removing intermediate container f50a77b8dac1
 ---> 7447eaa2a2fb
Step 32/32 : CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]
 ---> Running in 298b2934659f
Removing intermediate container 298b2934659f
 ---> f3cab2394c52
Successfully built f3cab2394c52
Successfully tagged mfekadu/nimbus:latest
$ docker run -it --rm -p 8080:8080  mfekadu/nimbus

[2020-03-02 00:15:10 +0000] [1] [INFO] Starting gunicorn 20.0.4
[2020-03-02 00:15:10 +0000] [1] [INFO] Listening at: http://0.0.0.0:8080 (1)
[2020-03-02 00:15:10 +0000] [1] [INFO] Using worker: sync
[2020-03-02 00:15:10 +0000] [9] [INFO] Booting worker with pid: 9
[2020-03-02 00:15:10 +0000] [10] [INFO] Booting worker with pid: 10
[2020-03-02 00:15:10 +0000] [11] [INFO] Booting worker with pid: 11
initialized database session
initialized NimbusMySQLAlchemy
initialized database session
initialized NimbusMySQLAlchemy
initialized database session
initialized NimbusMySQLAlchemy
[nltk_data] Downloading package stopwords to /root/nltk_data...
[nltk_data]   Unzipping corpora/stopwords.zip.
/usr/local/lib/python3.6/dist-packages/sklearn/base.py:251: UserWarning: Trying to unpickle estimator KNeighborsClassifier from version 0.21.3 when using version 0.20.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
{'entity': 'Dr. Allen', 'tag': 'PROF', 'normalized entity': 'Allen', 'input question': "What is Dr. Allen's phone number?", 'normalized question': "What is [PROF]'s phone number?", 'question class': "What is [PROF]'s phone number?"}
---
 Dockerfile                        | 12 +++++++++++-
 nimbus_nlp/save_and_load_model.py | 12 ++++++------
 2 files changed, 17 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 166fe2e..a858bf1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,16 @@
-FROM python:3.6-stretch
+# FROM python:3.6-stretch
+# FROM python:3.8-buster  # needs pip install numpy
+# FROM python:3.7-stretch
+FROM ubuntu:latest
 RUN apt update
 
+RUN apt-get update \
+  && apt-get install -y python3-pip python3-dev \
+  && cd /usr/local/bin \
+  && ln -s /usr/bin/python3 python \
+  && pip3 install --upgrade pip
+
+
 # put the requirements file into the container
 ADD requirements.txt /nimbus/requirements.txt
 
diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
index 3ba6ec5..d8dd082 100644
--- a/nimbus_nlp/save_and_load_model.py
+++ b/nimbus_nlp/save_and_load_model.py
@@ -1,3 +1,4 @@
+import glob
 import os
 from sklearn.externals import joblib
 import pickle
@@ -24,11 +25,10 @@ def load_model(model_name):
     return joblib.load(train_path)
 
 def load_latest_model():
-    train_path = PROJECT_DIR + '/models/classification/'
-    onlyfiles = [f for f in listdir(train_path) if isfile(join(train_path, f))]
-    r = [(f, datetime.strptime(re.findall(r'([\d]+_[\d]+_[\d]+_[\d]+_[\d]+_[\d]+)', f)[0], '%m_%d_%Y_%H_%M_%S')) for f in onlyfiles]
-    r = sorted(r, key=lambda x: x[1])
-    model_path = r[-1][0]
-    return joblib.load(train_path + model_path)
+    # https://stackoverflow.com/a/39327156
+    train_path = PROJECT_DIR + '/models/classification/*'
+    list_of_files = glob.glob(train_path)
+    latest_file = max(list_of_files, key=os.path.getctime)
+    return joblib.load(latest_file)
 
 

From 3420182e099d0ef0c2abd3f7d2d24cacd2780e66 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 17:13:17 -0800
Subject: [PATCH 151/272] hopefully resolves permissionError with six on heroku

```

2020-03-02T00:59:06.683752+00:00 app[web.1]:   File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 2437, in _version_from_file
2020-03-02T00:59:06.683752+00:00 app[web.1]:     line = next(iter(version_lines), '')
2020-03-02T00:59:06.683752+00:00 app[web.1]:   File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 2627, in _get_metadata
2020-03-02T00:59:06.683752+00:00 app[web.1]:     for line in self.get_metadata_lines(name):
2020-03-02T00:59:06.683752+00:00 app[web.1]:   File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 1810, in get_metadata_lines
2020-03-02T00:59:06.683753+00:00 app[web.1]:     return yield_lines(self.get_metadata(name))
2020-03-02T00:59:06.683753+00:00 app[web.1]:   File "/usr/lib/python3/dist-packages/pkg_resources/__init__.py", line 1796, in get_metadata
2020-03-02T00:59:06.683753+00:00 app[web.1]:     with io.open(self.path, encoding='utf-8', errors="replace") as f:
2020-03-02T00:59:06.683753+00:00 app[web.1]: PermissionError: [Errno 13] Permission denied: '/usr/lib/python3/dist-packages/.wh.six-1.11.0.egg-info'

```
---
 Pipfile          |   2 +
 Pipfile.lock     | 637 ++++++++++++++++++++++++++---------------------
 requirements.txt |   2 +-
 3 files changed, 363 insertions(+), 278 deletions(-)

diff --git a/Pipfile b/Pipfile
index c9e7bba..44c8033 100644
--- a/Pipfile
+++ b/Pipfile
@@ -55,6 +55,8 @@ scikit-learn = "==0.20.2"
 # misc
 ## used to generate settings.yml
 PyYAML = "==5.3"
+## avoid  PermissionError: [Errno 13] Permission denied
+six = "==1.13.0"
 
 [requires]
 python_version = "3.6"
diff --git a/Pipfile.lock b/Pipfile.lock
index 78353d5..798d177 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "6028cc6ee0267fa988baf98523c048f753d8e62fe8f999d6ba493b0e2e6a7ad2"
+            "sha256": "748addc4fc3e9c3561c76b6df6383e151a9f165711b7bbc00c07e0d42162a455"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -16,28 +16,6 @@
         ]
     },
     "default": {
-        "appdirs": {
-            "hashes": [
-                "sha256:9e5896d1372858f8dd3344faf4e5014d21849c756c8d5701f78f8a103b372d92",
-                "sha256:d8b24664561d0d34ddfaec54636d502d7cea6e29c3eaf68f3df6180863e2166e"
-            ],
-            "version": "==1.4.3"
-        },
-        "attrs": {
-            "hashes": [
-                "sha256:08a96c641c3a74e44eb59afb61a24f2cb9f4d7188748e76ba4bb5edfa3cb7d1c",
-                "sha256:f7b7ce16570fe9965acd6d30101a28f62fb4a7f9e926b3bbc9b61f8b04247e72"
-            ],
-            "version": "==19.3.0"
-        },
-        "black": {
-            "hashes": [
-                "sha256:1b30e59be925fafc1ee4565e5e08abef6b03fe455102883820fe5ee2e4734e0b",
-                "sha256:c2edb73a08e9e0e6f65a0e6af18b059b8b1cdd5bef997d7a0b181df93dc81539"
-            ],
-            "index": "pypi",
-            "version": "==19.10b0"
-        },
         "blis": {
             "hashes": [
                 "sha256:00473602629ba69fe6565108e21957e918cb48b59f5bf2f6bfb6e04de42500cb",
@@ -111,29 +89,6 @@
             ],
             "version": "==2.0.3"
         },
-        "dataclasses": {
-            "hashes": [
-                "sha256:3459118f7ede7c8bea0fe795bff7c6c2ce287d01dd226202f7c9ebc0610a7836",
-                "sha256:494a6dcae3b8bcf80848eea2ef64c0cc5cd307ffc263e17cdf42f3e5420808e6"
-            ],
-            "markers": "python_version < '3.7'",
-            "version": "==0.7"
-        },
-        "entrypoints": {
-            "hashes": [
-                "sha256:589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19",
-                "sha256:c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"
-            ],
-            "version": "==0.3"
-        },
-        "flake8": {
-            "hashes": [
-                "sha256:45681a117ecc81e870cbf1262835ae4af5e7a8b08e40b944a8a6e6b895914cfb",
-                "sha256:49356e766643ad15072a789a20915d3c91dc89fd313ccd71802303fd67e4deca"
-            ],
-            "index": "pypi",
-            "version": "==3.7.9"
-        },
         "flask": {
             "hashes": [
                 "sha256:13f9f196f330c7c2c5d7a5cf91af894110ca0215ac051b5844701f2bfd934d52",
@@ -275,14 +230,6 @@
             ],
             "version": "==0.17.0"
         },
-        "hypothesis": {
-            "hashes": [
-                "sha256:1b358250156fa63a5717f484da4d907343562ae375e454bc89562d8981ea1f77",
-                "sha256:7e44bff356b32ee5e1ba939f9778d192d094227b5be179cc3efc0d706f211619"
-            ],
-            "index": "pypi",
-            "version": "==5.3.1"
-        },
         "idna": {
             "hashes": [
                 "sha256:7588d1c14ae4c77d74036e8c22ff447b26d0fde8f007354fd48a7814db15b7cb",
@@ -298,15 +245,6 @@
             "markers": "python_version < '3.8'",
             "version": "==1.5.0"
         },
-        "invoke": {
-            "hashes": [
-                "sha256:87b3ef9d72a1667e104f89b159eaf8a514dbf2f3576885b2bbdefe74c3fb2132",
-                "sha256:93e12876d88130c8e0d7fd6618dd5387d6b36da55ad541481dfa5e001656f134",
-                "sha256:de3f23bfe669e3db1085789fd859eb8ca8e0c5d9c20811e2407fa042e8a5e15d"
-            ],
-            "index": "pypi",
-            "version": "==1.4.1"
-        },
         "itsdangerous": {
             "hashes": [
                 "sha256:321b033d07f2a4136d3ec762eac9f16a10ccd60f53c0c91af90217ace7ba1f19",
@@ -321,13 +259,6 @@
             ],
             "version": "==2.11.1"
         },
-        "libcst": {
-            "hashes": [
-                "sha256:5100b4ab49891ecf2d00b5c451b4c6334a29e2436e575ab79596e79d84742248",
-                "sha256:838ca702c41ec3b396ae893d2b81a2b4cde5a58676a0cfc62976e2200b573f11"
-            ],
-            "version": "==0.3.2"
-        },
         "markupsafe": {
             "hashes": [
                 "sha256:00bc623926325b26bb9605ae9eae8a215691f33cae5df11ca5424f06f2d1f473",
@@ -374,20 +305,6 @@
             "index": "pypi",
             "version": "==3.5.0"
         },
-        "mccabe": {
-            "hashes": [
-                "sha256:ab8a6258860da4b6677da4bd2fe5dc2c659cff31b3ee4f7f5d64e79735b80d42",
-                "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"
-            ],
-            "version": "==0.6.1"
-        },
-        "more-itertools": {
-            "hashes": [
-                "sha256:5dd8bcf33e5f9513ffa06d5ad33d78f31e1931ac9a18f33d37e77a180d393a7c",
-                "sha256:b1ddb932186d8a6ac451e1d95844b382f55e12686d51ca0c68b6f61f2ab7a507"
-            ],
-            "version": "==8.2.0"
-        },
         "murmurhash": {
             "hashes": [
                 "sha256:27b908fe4bdb426f4e4e4a8821acbe0302915b2945e035ec9d8ca513e2a74b1f",
@@ -409,13 +326,6 @@
             ],
             "version": "==1.0.2"
         },
-        "mypy-extensions": {
-            "hashes": [
-                "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d",
-                "sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8"
-            ],
-            "version": "==0.4.3"
-        },
         "mysql-connector-python": {
             "hashes": [
                 "sha256:033a8ab1d772ce77ce6cbbaca5bff400bfb65a2a3542b701061c981222a0fefd",
@@ -485,13 +395,6 @@
             ],
             "version": "==4.1.3"
         },
-        "packaging": {
-            "hashes": [
-                "sha256:170748228214b70b672c581a3dd610ee51f733018650740e98c7df862a583f73",
-                "sha256:e665345f9eef0c621aa0bf2f8d78cf6d21904eef16a93f020240b704a57f1334"
-            ],
-            "version": "==20.1"
-        },
         "pandas": {
             "hashes": [
                 "sha256:23e177d43e4bf68950b0f8788b6a2fef2f478f4ec94883acb627b9264522a98a",
@@ -512,13 +415,6 @@
             "index": "pypi",
             "version": "==1.0.1"
         },
-        "pathspec": {
-            "hashes": [
-                "sha256:163b0632d4e31cef212976cf57b43d9fd6b0bac6e67c26015d611a647d5e7424",
-                "sha256:562aa70af2e0d434367d9790ad37aed893de47f1693e4201fd1d3dca15d19b96"
-            ],
-            "version": "==0.7.0"
-        },
         "plac": {
             "hashes": [
                 "sha256:398cb947c60c4c25e275e1f1dadf027e7096858fb260b8ece3b33bcff90d985f",
@@ -526,13 +422,6 @@
             ],
             "version": "==1.1.3"
         },
-        "pluggy": {
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@@ -577,29 +466,6 @@
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@@ -614,13 +480,6 @@
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@@ -629,44 +488,6 @@
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@@ -688,12 +509,6 @@
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@@ -711,38 +526,11 @@
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@@ -814,17 +602,11 @@
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@@ -886,13 +668,6 @@
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@@ -900,33 +675,363 @@
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+        "more-itertools": {
+            "hashes": [
+                "sha256:5dd8bcf33e5f9513ffa06d5ad33d78f31e1931ac9a18f33d37e77a180d393a7c",
+                "sha256:b1ddb932186d8a6ac451e1d95844b382f55e12686d51ca0c68b6f61f2ab7a507"
+            ],
+            "version": "==8.2.0"
+        },
+        "mypy-extensions": {
+            "hashes": [
+                "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d",
+                "sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8"
+            ],
+            "version": "==0.4.3"
+        },
+        "packaging": {
+            "hashes": [
+                "sha256:170748228214b70b672c581a3dd610ee51f733018650740e98c7df862a583f73",
+                "sha256:e665345f9eef0c621aa0bf2f8d78cf6d21904eef16a93f020240b704a57f1334"
+            ],
+            "version": "==20.1"
+        },
+        "pathspec": {
+            "hashes": [
+                "sha256:163b0632d4e31cef212976cf57b43d9fd6b0bac6e67c26015d611a647d5e7424",
+                "sha256:562aa70af2e0d434367d9790ad37aed893de47f1693e4201fd1d3dca15d19b96"
+            ],
+            "version": "==0.7.0"
+        },
+        "pluggy": {
+            "hashes": [
+                "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0",
+                "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"
+            ],
+            "version": "==0.13.1"
+        },
+        "psutil": {
+            "hashes": [
+                "sha256:1413f4158eb50e110777c4f15d7c759521703bd6beb58926f1d562da40180058",
+                "sha256:298af2f14b635c3c7118fd9183843f4e73e681bb6f01e12284d4d70d48a60953",
+                "sha256:60b86f327c198561f101a92be1995f9ae0399736b6eced8f24af41ec64fb88d4",
+                "sha256:685ec16ca14d079455892f25bd124df26ff9137664af445563c1bd36629b5e0e",
+                "sha256:73f35ab66c6c7a9ce82ba44b1e9b1050be2a80cd4dcc3352cc108656b115c74f",
+                "sha256:75e22717d4dbc7ca529ec5063000b2b294fc9a367f9c9ede1f65846c7955fd38",
+                "sha256:a02f4ac50d4a23253b68233b07e7cdb567bd025b982d5cf0ee78296990c22d9e",
+                "sha256:d008ddc00c6906ec80040d26dc2d3e3962109e40ad07fd8a12d0284ce5e0e4f8",
+                "sha256:d84029b190c8a66a946e28b4d3934d2ca1528ec94764b180f7d6ea57b0e75e26",
+                "sha256:e2d0c5b07c6fe5a87fa27b7855017edb0d52ee73b71e6ee368fae268605cc3f5",
+                "sha256:f344ca230dd8e8d5eee16827596f1c22ec0876127c28e800d7ae20ed44c4b310"
+            ],
+            "version": "==5.7.0"
+        },
+        "py": {
+            "hashes": [
+                "sha256:5e27081401262157467ad6e7f851b7aa402c5852dbcb3dae06768434de5752aa",
+                "sha256:c20fdd83a5dbc0af9efd622bee9a5564e278f6380fffcacc43ba6f43db2813b0"
+            ],
+            "version": "==1.8.1"
+        },
+        "pycodestyle": {
+            "hashes": [
+                "sha256:95a2219d12372f05704562a14ec30bc76b05a5b297b21a5dfe3f6fac3491ae56",
+                "sha256:e40a936c9a450ad81df37f549d676d127b1b66000a6c500caa2b085bc0ca976c"
+            ],
+            "version": "==2.5.0"
+        },
+        "pyflakes": {
+            "hashes": [
+                "sha256:17dbeb2e3f4d772725c777fabc446d5634d1038f234e77343108ce445ea69ce0",
+                "sha256:d976835886f8c5b31d47970ed689944a0262b5f3afa00a5a7b4dc81e5449f8a2"
+            ],
+            "version": "==2.1.1"
+        },
+        "pyparsing": {
+            "hashes": [
+                "sha256:4c830582a84fb022400b85429791bc551f1f4871c33f23e44f353119e92f969f",
+                "sha256:c342dccb5250c08d45fd6f8b4a559613ca603b57498511740e65cd11a2e7dcec"
+            ],
+            "version": "==2.4.6"
+        },
+        "pyre-check": {
+            "hashes": [
+                "sha256:215502a3e4f66ccf73766815d67249643ae3bee1782c054568134ff35183de74",
+                "sha256:57d7772142746c3396667c15c2b201a37b255ee889fc1e6e902528c96f92b172",
+                "sha256:f1fc1850a21703b8c2eadcc3e9529708bb3dca21e7c4642ab97ec2df4ac7a055"
+            ],
+            "index": "pypi",
+            "version": "==0.0.41"
+        },
+        "pyre-extensions": {
+            "hashes": [
+                "sha256:706ae5dfc1d0a6feed2f613ab1bcc95309b6d99479eacb099d05bae288b0b6b3",
+                "sha256:827956517ceb55233f6536c6a8ed387a027476926aab7e3cd599e428e9687ce0"
+            ],
+            "version": "==0.0.17"
+        },
+        "pytest": {
+            "hashes": [
+                "sha256:1d122e8be54d1a709e56f82e2d85dcba3018313d64647f38a91aec88c239b600",
+                "sha256:c13d1943c63e599b98cf118fcb9703e4d7bde7caa9a432567bcdcae4bf512d20"
+            ],
+            "index": "pypi",
+            "version": "==5.3.4"
+        },
+        "pywatchman": {
+            "hashes": [
+                "sha256:d0047eb275deafb0011eda0a1a815fbd9742478c3d2b5ad6956d300e447dc2f9"
+            ],
+            "version": "==1.4.1"
+        },
+        "pyyaml": {
+            "hashes": [
+                "sha256:059b2ee3194d718896c0ad077dd8c043e5e909d9180f387ce42012662a4946d6",
+                "sha256:1cf708e2ac57f3aabc87405f04b86354f66799c8e62c28c5fc5f88b5521b2dbf",
+                "sha256:24521fa2890642614558b492b473bee0ac1f8057a7263156b02e8b14c88ce6f5",
+                "sha256:4fee71aa5bc6ed9d5f116327c04273e25ae31a3020386916905767ec4fc5317e",
+                "sha256:70024e02197337533eef7b85b068212420f950319cc8c580261963aefc75f811",
+                "sha256:74782fbd4d4f87ff04159e986886931456a1894c61229be9eaf4de6f6e44b99e",
+                "sha256:940532b111b1952befd7db542c370887a8611660d2b9becff75d39355303d82d",
+                "sha256:cb1f2f5e426dc9f07a7681419fe39cee823bb74f723f36f70399123f439e9b20",
+                "sha256:dbbb2379c19ed6042e8f11f2a2c66d39cceb8aeace421bfc29d085d93eda3689",
+                "sha256:e3a057b7a64f1222b56e47bcff5e4b94c4f61faac04c7c4ecb1985e18caa3994",
+                "sha256:e9f45bd5b92c7974e59bcd2dcc8631a6b6cc380a904725fce7bc08872e691615"
+            ],
+            "index": "pypi",
+            "version": "==5.3"
+        },
+        "regex": {
+            "hashes": [
+                "sha256:01b2d70cbaed11f72e57c1cfbaca71b02e3b98f739ce33f5f26f71859ad90431",
+                "sha256:046e83a8b160aff37e7034139a336b660b01dbfe58706f9d73f5cdc6b3460242",
+                "sha256:113309e819634f499d0006f6200700c8209a2a8bf6bd1bdc863a4d9d6776a5d1",
+                "sha256:200539b5124bc4721247a823a47d116a7a23e62cc6695744e3eb5454a8888e6d",
+                "sha256:25f4ce26b68425b80a233ce7b6218743c71cf7297dbe02feab1d711a2bf90045",
+                "sha256:269f0c5ff23639316b29f31df199f401e4cb87529eafff0c76828071635d417b",
+                "sha256:5de40649d4f88a15c9489ed37f88f053c15400257eeb18425ac7ed0a4e119400",
+                "sha256:7f78f963e62a61e294adb6ff5db901b629ef78cb2a1cfce3cf4eeba80c1c67aa",
+                "sha256:82469a0c1330a4beb3d42568f82dffa32226ced006e0b063719468dcd40ffdf0",
+                "sha256:8c2b7fa4d72781577ac45ab658da44c7518e6d96e2a50d04ecb0fd8f28b21d69",
+                "sha256:974535648f31c2b712a6b2595969f8ab370834080e00ab24e5dbb9d19b8bfb74",
+                "sha256:99272d6b6a68c7ae4391908fc15f6b8c9a6c345a46b632d7fdb7ef6c883a2bbb",
+                "sha256:9b64a4cc825ec4df262050c17e18f60252cdd94742b4ba1286bcfe481f1c0f26",
+                "sha256:9e9624440d754733eddbcd4614378c18713d2d9d0dc647cf9c72f64e39671be5",
+                "sha256:9ff16d994309b26a1cdf666a6309c1ef51ad4f72f99d3392bcd7b7139577a1f2",
+                "sha256:b33ebcd0222c1d77e61dbcd04a9fd139359bded86803063d3d2d197b796c63ce",
+                "sha256:bba52d72e16a554d1894a0cc74041da50eea99a8483e591a9edf1025a66843ab",
+                "sha256:bed7986547ce54d230fd8721aba6fd19459cdc6d315497b98686d0416efaff4e",
+                "sha256:c7f58a0e0e13fb44623b65b01052dae8e820ed9b8b654bb6296bc9c41f571b70",
+                "sha256:d58a4fa7910102500722defbde6e2816b0372a4fcc85c7e239323767c74f5cbc",
+                "sha256:f1ac2dc65105a53c1c2d72b1d3e98c2464a133b4067a51a3d2477b28449709a0"
+            ],
+            "version": "==2020.2.20"
+        },
+        "requests": {
+            "hashes": [
+                "sha256:43999036bfa82904b6af1d99e4882b560e5e2c68e5c4b0aa03b655f3d7d73fee",
+                "sha256:b3f43d496c6daba4493e7c431722aeb7dbc6288f52a6e04e7b6023b0247817e6"
+            ],
+            "version": "==2.23.0"
+        },
+        "six": {
+            "hashes": [
+                "sha256:1f1b7d42e254082a9db6279deae68afb421ceba6158efa6131de7b3003ee93fd",
+                "sha256:30f610279e8b2578cab6db20741130331735c781b56053c59c4076da27f06b66"
+            ],
+            "index": "pypi",
+            "version": "==1.13.0"
+        },
+        "sortedcontainers": {
+            "hashes": [
+                "sha256:974e9a32f56b17c1bac2aebd9dcf197f3eb9cd30553c5852a3187ad162e1a03a",
+                "sha256:d9e96492dd51fae31e60837736b38fe42a187b5404c16606ff7ee7cd582d4c60"
+            ],
+            "version": "==2.1.0"
+        },
+        "toml": {
+            "hashes": [
+                "sha256:229f81c57791a41d65e399fc06bf0848bab550a9dfd5ed66df18ce5f05e73d5c",
+                "sha256:235682dd292d5899d361a811df37e04a8828a5b1da3115886b73cf81ebc9100e"
+            ],
+            "version": "==0.10.0"
+        },
+        "typed-ast": {
+            "hashes": [
+                "sha256:0666aa36131496aed8f7be0410ff974562ab7eeac11ef351def9ea6fa28f6355",
+                "sha256:0c2c07682d61a629b68433afb159376e24e5b2fd4641d35424e462169c0a7919",
+                "sha256:249862707802d40f7f29f6e1aad8d84b5aa9e44552d2cc17384b209f091276aa",
+                "sha256:24995c843eb0ad11a4527b026b4dde3da70e1f2d8806c99b7b4a7cf491612652",
+                "sha256:269151951236b0f9a6f04015a9004084a5ab0d5f19b57de779f908621e7d8b75",
+                "sha256:4083861b0aa07990b619bd7ddc365eb7fa4b817e99cf5f8d9cf21a42780f6e01",
+                "sha256:498b0f36cc7054c1fead3d7fc59d2150f4d5c6c56ba7fb150c013fbc683a8d2d",
+                "sha256:4e3e5da80ccbebfff202a67bf900d081906c358ccc3d5e3c8aea42fdfdfd51c1",
+                "sha256:6daac9731f172c2a22ade6ed0c00197ee7cc1221aa84cfdf9c31defeb059a907",
+                "sha256:715ff2f2df46121071622063fc7543d9b1fd19ebfc4f5c8895af64a77a8c852c",
+                "sha256:73d785a950fc82dd2a25897d525d003f6378d1cb23ab305578394694202a58c3",
+                "sha256:8c8aaad94455178e3187ab22c8b01a3837f8ee50e09cf31f1ba129eb293ec30b",
+                "sha256:8ce678dbaf790dbdb3eba24056d5364fb45944f33553dd5869b7580cdbb83614",
+                "sha256:aaee9905aee35ba5905cfb3c62f3e83b3bec7b39413f0a7f19be4e547ea01ebb",
+                "sha256:bcd3b13b56ea479b3650b82cabd6b5343a625b0ced5429e4ccad28a8973f301b",
+                "sha256:c9e348e02e4d2b4a8b2eedb48210430658df6951fa484e59de33ff773fbd4b41",
+                "sha256:d205b1b46085271b4e15f670058ce182bd1199e56b317bf2ec004b6a44f911f6",
+                "sha256:d43943ef777f9a1c42bf4e552ba23ac77a6351de620aa9acf64ad54933ad4d34",
+                "sha256:d5d33e9e7af3b34a40dc05f498939f0ebf187f07c385fd58d591c533ad8562fe",
+                "sha256:fc0fea399acb12edbf8a628ba8d2312f583bdbdb3335635db062fa98cf71fca4",
+                "sha256:fe460b922ec15dd205595c9b5b99e2f056fd98ae8f9f56b888e7a17dc2b757e7"
+            ],
+            "version": "==1.4.1"
+        },
+        "typing-extensions": {
             "hashes": [
                 "sha256:091ecc894d5e908ac75209f10d5b4f118fbdb2eb1ede6a63544054bb1edb41f2",
                 "sha256:910f4656f54de5993ad9304959ce9bb903f90aadc7c67a0bef07e678014e892d",
@@ -942,13 +1047,6 @@
             ],
             "version": "==0.5.0"
         },
-        "uritemplate": {
-            "hashes": [
-                "sha256:07620c3f3f8eed1f12600845892b0e036a2420acf513c53f7de0abd911a5894f",
-                "sha256:5af8ad10cec94f215e3f48112de2022e1d5a37ed427fbd88652fa908f2ab7cae"
-            ],
-            "version": "==3.0.1"
-        },
         "urllib3": {
             "hashes": [
                 "sha256:2f3db8b19923a873b3e5256dc9c2dedfa883e33d87c690d9c7913e1f40673cdc",
@@ -956,13 +1054,6 @@
             ],
             "version": "==1.25.8"
         },
-        "wasabi": {
-            "hashes": [
-                "sha256:b8dd3e963cd693fde1eb6bfbecf51790171aa3534fa299faf35cf269f2fd6063",
-                "sha256:da1f100e0025fe1e50fd67fa5b0b05df902187d5c65c86dc110974ab856d1f05"
-            ],
-            "version": "==0.6.0"
-        },
         "wcwidth": {
             "hashes": [
                 "sha256:8fd29383f539be45b20bd4df0dc29c20ba48654a41e661925e612311e9f3c603",
@@ -970,13 +1061,6 @@
             ],
             "version": "==0.1.8"
         },
-        "werkzeug": {
-            "hashes": [
-                "sha256:169ba8a33788476292d04186ab33b01d6add475033dfc07215e6d219cc077096",
-                "sha256:6dc65cf9091cf750012f56f2cad759fa9e879f511b5ff8685e456b4e3bf90d16"
-            ],
-            "version": "==1.0.0"
-        },
         "zipp": {
             "hashes": [
                 "sha256:12248a63bbdf7548f89cb4c7cda4681e537031eda29c02ea29674bc6854460c2",
@@ -984,6 +1068,5 @@
             ],
             "version": "==3.0.0"
         }
-    },
-    "develop": {}
+    }
 }
diff --git a/requirements.txt b/requirements.txt
index f13cbae..c365106 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -44,7 +44,7 @@ requests==2.23.0
 rsa==4.0
 scikit-learn==0.20.2
 scipy==1.4.1
-six==1.14.0
+six==1.13.0
 spacy==2.2.3
 SQLAlchemy==1.3.13
 srsly==1.0.1

From dfbb567294de7b4697069b0bf95cd81dfff84876 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 19:37:07 -0800
Subject: [PATCH 152/272] a working heroku deploy even if workflow fails

```
2020-03-02T03:27:40.035588+00:00 app[api]: Deployed web (5c2d5cc6e6a3) by user mike.fekadu@gmail.com
2020-03-02T03:27:40.035588+00:00 app[api]: Release v71 created by user mike.fekadu@gmail.com
2020-03-02T03:27:40.776480+00:00 heroku[web.1]: State changed from up to starting
2020-03-02T03:27:40.772982+00:00 heroku[web.1]: Restarting
2020-03-02T03:27:41.430596+00:00 app[web.1]: [2020-03-02 03:27:41 +0000] [5] [INFO] Handling signal: term
2020-03-02T03:27:41.422202+00:00 heroku[web.1]: Stopping all processes with SIGTERM
2020-03-02T03:27:41.492259+00:00 heroku[web.1]: Process exited with status 143
2020-03-02T03:28:11.426610+00:00 heroku[web.1]: Starting process with command `gunicorn flask_api:app --config\=gunicorn_config.py`
2020-03-02T03:28:14.421562+00:00 heroku[web.1]: State changed from starting to up
2020-03-02T03:28:14.151376+00:00 app[web.1]: [2020-03-02 03:28:14 +0000] [5] [INFO] Starting gunicorn 20.0.4
2020-03-02T03:28:14.152156+00:00 app[web.1]: [2020-03-02 03:28:14 +0000] [5] [INFO] Listening at: http://0.0.0.0:45761 (5)
2020-03-02T03:28:14.152290+00:00 app[web.1]: [2020-03-02 03:28:14 +0000] [5] [INFO] Using worker: sync
2020-03-02T03:28:14.163665+00:00 app[web.1]: [2020-03-02 03:28:14 +0000] [8] [INFO] Booting worker with pid: 8
2020-03-02T03:28:14.268914+00:00 app[web.1]: [2020-03-02 03:28:14 +0000] [9] [INFO] Booting worker with pid: 9
2020-03-02T03:28:14.298891+00:00 app[web.1]: [2020-03-02 03:28:14 +0000] [10] [INFO] Booting worker with pid: 10
2020-03-02T03:28:38.204400+00:00 heroku[router]: at=info method=POST path="/ask" host=calpoly-csai-nimbus.herokuapp.com request_id=c6130475-64b0-45d1-90d6-c27f42e2fdec fwd="129.65.145.159" dyno=web.1 connect=1ms service=5424ms status=200 bytes=259 protocol=https
```
---
 Dockerfile                        | 3 +++
 Pipfile                           | 2 ++
 Pipfile.lock                      | 2 +-
 download_nltk_stuff.py            | 1 +
 heroku_deploy.sh                  | 5 +++++
 nimbus_nlp/question_classifier.py | 2 ++
 6 files changed, 14 insertions(+), 1 deletion(-)
 create mode 100755 heroku_deploy.sh

diff --git a/Dockerfile b/Dockerfile
index a858bf1..7087e17 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -59,6 +59,9 @@ RUN ./setup_special_files_from_env.py
 # download the nlp stuff
 RUN ./download_nlp_stuff.sh
 
+# download the nltk stuff
+RUN python3 download_nltk_stuff.py
+
 # just make sure the file is there
 RUN ls | grep config
 
diff --git a/Pipfile b/Pipfile
index 44c8033..41384ec 100644
--- a/Pipfile
+++ b/Pipfile
@@ -57,6 +57,8 @@ scikit-learn = "==0.20.2"
 PyYAML = "==5.3"
 ## avoid  PermissionError: [Errno 13] Permission denied
 six = "==1.13.0"
+## because google-auth 1.11.2 wants setuptools>=40.3.0
+setuptools = ">=40.3.0"
 
 [requires]
 python_version = "3.6"
diff --git a/Pipfile.lock b/Pipfile.lock
index 798d177..ea7e8bc 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "748addc4fc3e9c3561c76b6df6383e151a9f165711b7bbc00c07e0d42162a455"
+            "sha256": "a110dc1b982fa03dfcedb54f88339b8da6f57426a9952c6372121612511aad59"
         },
         "pipfile-spec": 6,
         "requires": {
diff --git a/download_nltk_stuff.py b/download_nltk_stuff.py
index fbe6518..1f57c39 100644
--- a/download_nltk_stuff.py
+++ b/download_nltk_stuff.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 import nltk
 nltk.download('punkt')
 nltk.download('averaged_perceptron_tagger')
diff --git a/heroku_deploy.sh b/heroku_deploy.sh
new file mode 100755
index 0000000..e833883
--- /dev/null
+++ b/heroku_deploy.sh
@@ -0,0 +1,5 @@
+heroku container:login
+
+heroku container:push -a calpoly-csai-nimbus web --arg DATABASE_HOSTNAME,DATABASE_PASSWORD,DATABASE_USERNAME,DATABASE_NAME,PYDRIVE_CLIENT_ID,PYDRIVE_CLIENT_SECRET,GOOGLE_DRIVE_CREDENTIALS,GOOGLE_DRIVE_FOLDER_ID,GOOGLE_CLOUD_NLP_CREDENTIALS,GOOGLE_CLOUD_NLP_MODEL_NAME
+
+heroku container:release -a calpoly-csai-nimbus web
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index e0c6882..1890bcf 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -17,6 +17,8 @@ class QuestionClassifier:
 
     def __init__(self):
         nltk.download('stopwords')
+        nltk.download('punkt')
+        nltk.download('averaged_perceptron_tagger')
         self.classifier = None
         self.nlp = spacy.load('en_core_web_sm')
         self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}

From dc5076de3b3385238c5370907e145bbe8faca4c0 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 20:40:36 -0800
Subject: [PATCH 153/272] refactor the dockerfile to direct download

---
 Dockerfile | 18 +++++++++++++-----
 1 file changed, 13 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7087e17..a0bd8fd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -56,11 +56,19 @@ WORKDIR /nimbus
 # generate all the special configuration files
 RUN ./setup_special_files_from_env.py
 
-# download the nlp stuff
-RUN ./download_nlp_stuff.sh
-
-# download the nltk stuff
-RUN python3 download_nltk_stuff.py
+## download the nlp stuff
+# RUN ./download_nlp_stuff.sh
+#
+## download the nltk stuff
+# RUN python3 download_nltk_stuff.py
+
+# the above "download..." scripts were inconsistent on herkou
+# so lets download the required stuff directly
+RUN python3 -m spacy download en_core_web_sm  
+# TODO: consider en_core_web_lg or en_core_web_md because server can handle it
+# RUN python3 -m spacy download en_core_web_lg
+RUN python3 -m nltk.downloader punkt
+RUN python3 -m nltk.downloader averaged_perceptron_tagger 
 
 # just make sure the file is there
 RUN ls | grep config

From 1d9c8056e63b5e170c43b0e0c8621f228597d49c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 21:38:55 -0800
Subject: [PATCH 154/272] well I hope this resolves #100

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index a0bd8fd..d40fafb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -76,6 +76,10 @@ RUN ls | grep config
 # need set WORKDIR for gunicorn
 WORKDIR /nimbus
 
+# resolve PermissionError on heroku
+# more context in issue #100
+RUN chmod +rwx /usr/lib/python3/dist-packages/.wh*
+
 # https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
 # Heroku will set the PORT environment variable
 # the gunicorn_config.py will check the env vars for PORT

From 122ff4d564ab5c70c8ba98f52f0ca49a3b4e9e98 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 21:52:12 -0800
Subject: [PATCH 155/272] Update Dockerfile for #100

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d40fafb..d94b5c4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -78,7 +78,8 @@ WORKDIR /nimbus
 
 # resolve PermissionError on heroku
 # more context in issue #100
-RUN chmod +rwx /usr/lib/python3/dist-packages/.wh*
+# TODO: make this less insecure
+RUN chmod 777 /usr/lib/python3/dist-packages/*
 
 # https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
 # Heroku will set the PORT environment variable

From a9c087a55a5328d4435584549b4b7d3371c39262 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 1 Mar 2020 22:17:57 -0800
Subject: [PATCH 156/272] #100 th times the charm

---
 Dockerfile | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d94b5c4..1cb5de7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -4,12 +4,16 @@
 FROM ubuntu:latest
 RUN apt update
 
+# the chmod will
+# resolve PermissionError on heroku
+# more context in issue #100
+# TODO: make chmod less insecure by only setting needed permissions
 RUN apt-get update \
   && apt-get install -y python3-pip python3-dev \
   && cd /usr/local/bin \
   && ln -s /usr/bin/python3 python \
-  && pip3 install --upgrade pip
-
+  && pip3 install --upgrade pip \
+  && chmod 777 /usr/lib/python3/dist-packages/*
 
 # put the requirements file into the container
 ADD requirements.txt /nimbus/requirements.txt
@@ -76,11 +80,6 @@ RUN ls | grep config
 # need set WORKDIR for gunicorn
 WORKDIR /nimbus
 
-# resolve PermissionError on heroku
-# more context in issue #100
-# TODO: make this less insecure
-RUN chmod 777 /usr/lib/python3/dist-packages/*
-
 # https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
 # Heroku will set the PORT environment variable
 # the gunicorn_config.py will check the env vars for PORT

From 48336b06f95e3676c5322d6760c34968b2d145d5 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 2 Mar 2020 00:12:04 -0800
Subject: [PATCH 157/272] #100 verbose dockerfile, reduce six/idna versions
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

```
(api) ➜  api git:(dev) ✗ pipenv graph
Flask-Cors==3.0.8
  - Flask [required: >=0.9, installed: 1.1.1]
    - click [required: >=5.1, installed: 7.0]
    - itsdangerous [required: >=0.24, installed: 1.1.0]
    - Jinja2 [required: >=2.10.1, installed: 2.11.1]
      - MarkupSafe [required: >=0.23, installed: 1.1.1]
    - Werkzeug [required: >=0.15, installed: 1.0.0]
  - Six [required: Any, installed: 1.11.0]
fuzzywuzzy==0.18.0
google-cloud==0.34.0
google-cloud-automl==0.10.0
  - google-api-core [required: >=1.14.0,<2.0.0dev, installed: 1.16.0]
    - google-auth [required: >=0.4.0,<2.0dev, installed: 1.11.2]
      - cachetools [required: >=2.0.0,<5.0, installed: 4.0.0]
      - pyasn1-modules [required: >=0.2.1, installed: 0.2.8]
        - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
      - rsa [required: >=3.1.4,<4.1, installed: 4.0]
        - pyasn1 [required: >=0.1.3, installed: 0.4.8]
      - setuptools [required: >=40.3.0, installed: 45.2.0]
      - six [required: >=1.9.0, installed: 1.11.0]
    - googleapis-common-protos [required: >=1.6.0,<2.0dev, installed: 1.51.0]
      - protobuf [required: >=3.6.0, installed: 3.11.3]
        - setuptools [required: Any, installed: 45.2.0]
        - six [required: >=1.9, installed: 1.11.0]
    - protobuf [required: >=3.4.0, installed: 3.11.3]
      - setuptools [required: Any, installed: 45.2.0]
      - six [required: >=1.9, installed: 1.11.0]
    - pytz [required: Any, installed: 2019.3]
    - requests [required: >=2.18.0,<3.0.0dev, installed: 2.23.0]
      - certifi [required: >=2017.4.17, installed: 2019.11.28]
      - chardet [required: >=3.0.2,<4, installed: 3.0.4]
      - idna [required: >=2.5,<3, installed: 2.6]
      - urllib3 [required: >=1.21.1,<1.26,!=1.25.1,!=1.25.0, installed: 1.25.8]
    - setuptools [required: >=34.0.0, installed: 45.2.0]
    - six [required: >=1.10.0, installed: 1.11.0]
grpcio==1.27.2
  - six [required: >=1.5.2, installed: 1.11.0]
gunicorn==20.0.4
  - setuptools [required: >=3.0, installed: 45.2.0]
marshmallow==3.5.0
mysql-connector-python==8.0.18
  - protobuf [required: >=3.0.0, installed: 3.11.3]
    - setuptools [required: Any, installed: 45.2.0]
    - six [required: >=1.9, installed: 1.11.0]
nltk==3.4.5
  - six [required: Any, installed: 1.11.0]
pandas==1.0.1
  - numpy [required: >=1.13.3, installed: 1.18.1]
  - python-dateutil [required: >=2.6.1, installed: 2.8.1]
    - six [required: >=1.5, installed: 1.11.0]
  - pytz [required: >=2017.2, installed: 2019.3]
PyDrive==1.3.1
  - google-api-python-client [required: >=1.2, installed: 1.7.11]
    - google-auth [required: >=1.4.1, installed: 1.11.2]
      - cachetools [required: >=2.0.0,<5.0, installed: 4.0.0]
      - pyasn1-modules [required: >=0.2.1, installed: 0.2.8]
        - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
      - rsa [required: >=3.1.4,<4.1, installed: 4.0]
        - pyasn1 [required: >=0.1.3, installed: 0.4.8]
      - setuptools [required: >=40.3.0, installed: 45.2.0]
      - six [required: >=1.9.0, installed: 1.11.0]
    - google-auth-httplib2 [required: >=0.0.3, installed: 0.0.3]
      - google-auth [required: Any, installed: 1.11.2]
        - cachetools [required: >=2.0.0,<5.0, installed: 4.0.0]
        - pyasn1-modules [required: >=0.2.1, installed: 0.2.8]
          - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
        - rsa [required: >=3.1.4,<4.1, installed: 4.0]
          - pyasn1 [required: >=0.1.3, installed: 0.4.8]
        - setuptools [required: >=40.3.0, installed: 45.2.0]
        - six [required: >=1.9.0, installed: 1.11.0]
      - httplib2 [required: >=0.9.1, installed: 0.17.0]
    - httplib2 [required: >=0.9.2,<1dev, installed: 0.17.0]
    - six [required: >=1.6.1,<2dev, installed: 1.11.0]
    - uritemplate [required: >=3.0.0,<4dev, installed: 3.0.1]
  - oauth2client [required: >=4.0.0, installed: 4.1.3]
    - httplib2 [required: >=0.9.1, installed: 0.17.0]
    - pyasn1 [required: >=0.1.7, installed: 0.4.8]
    - pyasn1-modules [required: >=0.0.5, installed: 0.2.8]
      - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
    - rsa [required: >=3.1.4, installed: 4.0]
      - pyasn1 [required: >=0.1.3, installed: 0.4.8]
    - six [required: >=1.6.1, installed: 1.11.0]
  - PyYAML [required: >=3.0, installed: 5.3]
python-Levenshtein==0.12.0
  - setuptools [required: Any, installed: 45.2.0]
scikit-learn==0.20.2
  - numpy [required: >=1.8.2, installed: 1.18.1]
  - scipy [required: >=0.13.3, installed: 1.4.1]
    - numpy [required: >=1.13.3, installed: 1.18.1]
spacy==2.2.3
  - blis [required: >=0.4.0,<0.5.0, installed: 0.4.1]
    - numpy [required: >=1.15.0, installed: 1.18.1]
  - catalogue [required: >=0.0.7,<1.1.0, installed: 1.0.0]
    - importlib-metadata [required: >=0.20, installed: 1.5.0]
      - zipp [required: >=0.5, installed: 3.0.0]
  - cymem [required: >=2.0.2,<2.1.0, installed: 2.0.3]
  - murmurhash [required: >=0.28.0,<1.1.0, installed: 1.0.2]
  - numpy [required: >=1.15.0, installed: 1.18.1]
  - plac [required: >=0.9.6,<1.2.0, installed: 1.1.3]
  - preshed [required: >=3.0.2,<3.1.0, installed: 3.0.2]
    - cymem [required: >=2.0.2,<2.1.0, installed: 2.0.3]
    - murmurhash [required: >=0.28.0,<1.1.0, installed: 1.0.2]
  - requests [required: >=2.13.0,<3.0.0, installed: 2.23.0]
    - certifi [required: >=2017.4.17, installed: 2019.11.28]
    - chardet [required: >=3.0.2,<4, installed: 3.0.4]
    - idna [required: >=2.5,<3, installed: 2.6]
    - urllib3 [required: >=1.21.1,<1.26,!=1.25.1,!=1.25.0, installed: 1.25.8]
  - setuptools [required: Any, installed: 45.2.0]
  - srsly [required: >=0.1.0,<1.1.0, installed: 1.0.1]
  - thinc [required: >=7.3.0,<7.4.0, installed: 7.3.1]
    - blis [required: >=0.4.0,<0.5.0, installed: 0.4.1]
      - numpy [required: >=1.15.0, installed: 1.18.1]
    - cymem [required: >=2.0.2,<2.1.0, installed: 2.0.3]
    - murmurhash [required: >=0.28.0,<1.1.0, installed: 1.0.2]
    - numpy [required: >=1.7.0, installed: 1.18.1]
    - plac [required: >=0.9.6,<1.2.0, installed: 1.1.3]
    - preshed [required: >=1.0.1,<3.1.0, installed: 3.0.2]
      - cymem [required: >=2.0.2,<2.1.0, installed: 2.0.3]
      - murmurhash [required: >=0.28.0,<1.1.0, installed: 1.0.2]
    - srsly [required: >=0.0.6,<1.1.0, installed: 1.0.1]
    - tqdm [required: >=4.10.0,<5.0.0, installed: 4.43.0]
    - wasabi [required: >=0.0.9,<1.1.0, installed: 0.6.0]
  - wasabi [required: >=0.4.0,<1.1.0, installed: 0.6.0]
SQLAlchemy==1.3.13
(api) ➜  api git:(dev) ✗
```

```
(api) ➜  api git:(dev) ✗ heroku logs --app calpoly-csai-nimbus
2020-03-02T08:01:19.806986+00:00 heroku[web.1]: Starting process with command `gunicorn flask_api:app --config\=gunicorn_config.py`
2020-03-02T08:01:22.276799+00:00 app[web.1]: [2020-03-02 08:01:22 +0000] [5] [INFO] Starting gunicorn 20.0.4
2020-03-02T08:01:22.277463+00:00 app[web.1]: [2020-03-02 08:01:22 +0000] [5] [INFO] Listening at: http://0.0.0.0:38916 (5)
2020-03-02T08:01:22.277573+00:00 app[web.1]: [2020-03-02 08:01:22 +0000] [5] [INFO] Using worker: sync
2020-03-02T08:01:22.282709+00:00 app[web.1]: [2020-03-02 08:01:22 +0000] [8] [INFO] Booting worker with pid: 8
2020-03-02T08:01:22.367627+00:00 app[web.1]: [2020-03-02 08:01:22 +0000] [9] [INFO] Booting worker with pid: 9
2020-03-02T08:01:22.400087+00:00 app[web.1]: [2020-03-02 08:01:22 +0000] [10] [INFO] Booting worker with pid: 10
2020-03-02T08:01:22.946439+00:00 heroku[web.1]: State changed from starting to up
2020-03-02T08:08:50.405217+00:00 heroku[router]: at=info method=POST path="/ask" host=calpoly-csai-nimbus.herokuapp.com request_id=a6a0b483-feb8-4231-9ec5-15a849a190cc fwd="129.65.145.159" dyno=web.1 connect=0ms service=3150ms status=200 bytes=259 protocol=https
2020-03-02T08:08:59.178981+00:00 heroku[router]: at=info method=POST path="/ask" host=calpoly-csai-nimbus.herokuapp.com request_id=53bc6125-0257-4f25-a4b3-fc6f04386aa5 fwd="129.65.145.159" dyno=web.1 connect=0ms service=2014ms status=200 bytes=261 protocol=https
```
---
 Dockerfile       | 13 +++++++++++--
 Pipfile          |  4 +++-
 Pipfile.lock     | 28 +++++++++++++++-------------
 requirements.txt |  4 ++--
 4 files changed, 31 insertions(+), 18 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 1cb5de7..d4bf83d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -15,16 +15,22 @@ RUN apt-get update \
   && pip3 install --upgrade pip \
   && chmod 777 /usr/lib/python3/dist-packages/*
 
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
 # put the requirements file into the container
 ADD requirements.txt /nimbus/requirements.txt
 
 # install the requirements in the container
-RUN pip install -r /nimbus/requirements.txt
+RUN pip install -r /nimbus/requirements.txt \
+  && chmod 777 /usr/lib/python3/dist-packages/*
+
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
 
 # put all the code into nimbus folder
 ADD . /nimbus
 
-
 # # https://devcenter.heroku.com/articles/container-registry-and-runtime#unsupported-dockerfile-commands
 # # Expose is NOT supported by Heroku
 # EXPOSE 8080
@@ -80,6 +86,9 @@ RUN ls | grep config
 # need set WORKDIR for gunicorn
 WORKDIR /nimbus
 
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
 # https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
 # Heroku will set the PORT environment variable
 # the gunicorn_config.py will check the env vars for PORT
diff --git a/Pipfile b/Pipfile
index 41384ec..6069200 100644
--- a/Pipfile
+++ b/Pipfile
@@ -56,7 +56,9 @@ scikit-learn = "==0.20.2"
 ## used to generate settings.yml
 PyYAML = "==5.3"
 ## avoid  PermissionError: [Errno 13] Permission denied
-six = "==1.13.0"
+## for more context see issue #100
+six = "==1.11.0"
+idna = "==2.6"
 ## because google-auth 1.11.2 wants setuptools>=40.3.0
 setuptools = ">=40.3.0"
 
diff --git a/Pipfile.lock b/Pipfile.lock
index ea7e8bc..6575e89 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "a110dc1b982fa03dfcedb54f88339b8da6f57426a9952c6372121612511aad59"
+            "sha256": "fb30d39142d3cc83d8909d9f4f4648a60ac33d4ec3a5a94d8dac7b90ef727a24"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -232,10 +232,11 @@
         },
         "idna": {
             "hashes": [
-                "sha256:7588d1c14ae4c77d74036e8c22ff447b26d0fde8f007354fd48a7814db15b7cb",
-                "sha256:a068a21ceac8a4d63dbfd964670474107f541babbd2250d61922f029858365fa"
+                "sha256:2c6a5de3089009e3da7c5dde64a141dbc8551d5b7f6cf4ed7c2568d0cc520a8f",
+                "sha256:8c7309c718f94b3a625cb648ace320157ad16ff131ae0af362c9f21b80ef6ec4"
             ],
-            "version": "==2.9"
+            "index": "pypi",
+            "version": "==2.6"
         },
         "importlib-metadata": {
             "hashes": [
@@ -602,11 +603,11 @@
         },
         "six": {
             "hashes": [
-                "sha256:1f1b7d42e254082a9db6279deae68afb421ceba6158efa6131de7b3003ee93fd",
-                "sha256:30f610279e8b2578cab6db20741130331735c781b56053c59c4076da27f06b66"
+                "sha256:70e8a77beed4562e7f14fe23a786b54f6296e34344c23bc42f07b15018ff98e9",
+                "sha256:832dc0e10feb1aa2c68dcc57dbb658f1c7e65b9b61af69048abc87a2db00a0eb"
             ],
             "index": "pypi",
-            "version": "==1.13.0"
+            "version": "==1.11.0"
         },
         "spacy": {
             "hashes": [
@@ -788,10 +789,11 @@
         },
         "idna": {
             "hashes": [
-                "sha256:7588d1c14ae4c77d74036e8c22ff447b26d0fde8f007354fd48a7814db15b7cb",
-                "sha256:a068a21ceac8a4d63dbfd964670474107f541babbd2250d61922f029858365fa"
+                "sha256:2c6a5de3089009e3da7c5dde64a141dbc8551d5b7f6cf4ed7c2568d0cc520a8f",
+                "sha256:8c7309c718f94b3a625cb648ace320157ad16ff131ae0af362c9f21b80ef6ec4"
             ],
-            "version": "==2.9"
+            "index": "pypi",
+            "version": "==2.6"
         },
         "importlib-metadata": {
             "hashes": [
@@ -985,11 +987,11 @@
         },
         "six": {
             "hashes": [
-                "sha256:1f1b7d42e254082a9db6279deae68afb421ceba6158efa6131de7b3003ee93fd",
-                "sha256:30f610279e8b2578cab6db20741130331735c781b56053c59c4076da27f06b66"
+                "sha256:70e8a77beed4562e7f14fe23a786b54f6296e34344c23bc42f07b15018ff98e9",
+                "sha256:832dc0e10feb1aa2c68dcc57dbb658f1c7e65b9b61af69048abc87a2db00a0eb"
             ],
             "index": "pypi",
-            "version": "==1.13.0"
+            "version": "==1.11.0"
         },
         "sortedcontainers": {
             "hashes": [
diff --git a/requirements.txt b/requirements.txt
index c365106..0aaba5b 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -18,7 +18,7 @@ googleapis-common-protos==1.51.0
 grpcio==1.27.2
 gunicorn==20.0.4
 httplib2==0.17.0
-idna==2.9
+idna==2.6
 importlib-metadata==1.5.0
 itsdangerous==1.1.0
 Jinja2==2.11.1
@@ -44,7 +44,7 @@ requests==2.23.0
 rsa==4.0
 scikit-learn==0.20.2
 scipy==1.4.1
-six==1.13.0
+six==1.11.0
 spacy==2.2.3
 SQLAlchemy==1.3.13
 srsly==1.0.1

From 4eb1f80e720e6336cda39d01a8c9de40f599cbd0 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Mon, 2 Mar 2020 14:24:00 -0800
Subject: [PATCH 158/272] ensures people dont reference #9 on accident

---
 .github/pull_request_template.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 035d07e..de14a30 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -3,7 +3,7 @@ Please include a summary of the change and which issue is fixed.
 Please also include relevant motivation and context. 
 List any dependencies that are required for this change.
 
-## Fixes #<<ISSUE_NUMBER>> ... (e.g. #9)
+## Fixes #<<ISSUE_NUMBER>> ... `(e.g. #9)`
 
 ## Type of change (pick-one)
 - [ ] Bug fix (_non-breaking change which fixes an issue_)

From c6fbbe2eafe4f2465289d6467df4e66f4b826f03 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Sun, 8 Mar 2020 19:16:36 -0700
Subject: [PATCH 159/272] install the dev-dependencies

TODO:
consider maintaining a `dev-requirements.txt` file to allow anyone to say `pip install dev-requirements.txt` which would include things like pytest. Thus, the `pip install` for production can remain small.
---
 .github/workflows/test.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 79e26dc..4e58e8b 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -29,6 +29,8 @@ jobs:
       run: |
         python -m pip install --upgrade pip
         pip install -r requirements.txt
+        pip install pytest
+        pip install hypothesis
 
     - name: Test with hypothesis
       run: ./run_tests.sh

From bd46fb55234b4cdcdda874cde6d5bb0da59d3ff8 Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 8 Mar 2020 12:26:24 -0700
Subject: [PATCH 160/272] Remove raw_data_dict reference, add some tests

---
 __init__.py                               |   0
 database_wrapper.py                       | 130 ++++++++++------------
 requirements.txt                          |   2 +
 run_tests.sh                              |   2 +-
 tests/TestEntity.py                       |  17 +++
 tests/__init__.py                         |   0
 tests/test_database_wrapper.py            |  63 +++++++++++
 tests/test_new_data_calendars_endpoint.py |  44 --------
 tests/test_new_data_clubs_endpoint.py     |  48 --------
 tests/test_new_data_courses_endpoint.py   |  39 -------
 tests/test_new_data_location_endpoint.py  |  43 -------
 tests/test_new_data_wakeword_endpoint.py  |  46 --------
 12 files changed, 144 insertions(+), 290 deletions(-)
 create mode 100644 __init__.py
 create mode 100644 tests/TestEntity.py
 create mode 100644 tests/__init__.py
 create mode 100644 tests/test_database_wrapper.py
 delete mode 100644 tests/test_new_data_calendars_endpoint.py
 delete mode 100644 tests/test_new_data_clubs_endpoint.py
 delete mode 100644 tests/test_new_data_courses_endpoint.py
 delete mode 100644 tests/test_new_data_location_endpoint.py
 delete mode 100644 tests/test_new_data_wakeword_endpoint.py

diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/database_wrapper.py b/database_wrapper.py
index c5b0849..bb27fee 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -17,6 +17,7 @@
 
 import sqlalchemy
 from sqlalchemy import create_engine, inspect
+from sqlalchemy.engine import Engine
 from sqlalchemy.orm import sessionmaker
 
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
@@ -48,11 +49,11 @@
     Locations: {"building_number", "name"},
     Professors: {"firstName", "lastName"},
     Clubs: {"club_name"},
-    Sections: {"section_name"}
+    Sections: {"section_name"},
 }
 
 EXPECTED_KEYS_BY_ENTITY = {
-    AudioSampleMetaData : [
+    AudioSampleMetaData: [
         "is_wake_word",
         "first_name",
         "last_name",
@@ -64,7 +65,7 @@
         "username",
         "filename",
     ],
-    Clubs : [
+    Clubs: [
         "club_name",
         "types",
         "desc",
@@ -74,15 +75,10 @@
         "contact_phone",
         "box",
         "advisor",
-        "affiliation"
+        "affiliation",
     ],
-    Locations : [
-        "building_number",
-        "name",
-        "longitude",
-        "latitude"
-    ],
-    Sections : [
+    Locations: ["building_number", "name", "longitude", "latitude"],
+    Sections: [
         "section_name",
         "instructor",
         "alias",
@@ -94,10 +90,11 @@
         "start",
         "end",
         "location",
-        "department"
-    ]
+        "department",
+    ],
 }
 
+
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
 
@@ -330,7 +327,7 @@ class NimbusMySQLAlchemy:  # NimbusMySQLAlchemy(NimbusDatabase):
     """
 
     def __init__(self, config_file: str = "config.json") -> None:
-        self.engine = None  # gets set according to config_file
+        self.engine = self._create_engine(config_file)
         self.Clubs = Clubs
         self.Sections = Sections
         self.Calendars = Calendars
@@ -339,7 +336,11 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
         self.QuestionAnswerPair = QuestionAnswerPair
+        self.inspector = inspect(self.engine)
+        self._create_database_session()
+        print("initialized NimbusMySQLAlchemy")
 
+    def _create_engine(self, config_file: str) -> Engine:
         with open(config_file) as json_data_file:
             config = json.load(json_data_file)
 
@@ -354,20 +355,19 @@ def __init__(self, config_file: str = "config.json") -> None:
                 mysql_config["password"],
                 mysql_config["host"],
                 mysql_config["port"],
-                mysql_config["database"],
+                mysql_config["database"]
             )
-            self.engine = create_engine(SQLALCHEMY_DATABASE_URI)
+            engine = create_engine(SQLALCHEMY_DATABASE_URI)
 
-            if self.engine is None:
+            if engine is not None:
+                return engine
+            else:
                 raise BadConfigFileError("failed to connect to MySQL")
+
         else:
             msg = "config.json is missing {} field.".format("mysql")
             raise BadConfigFileError(msg)
 
-        self.inspector = inspect(self.engine)
-        self._create_database_session()
-        print("initialized NimbusMySQLAlchemy")
-
     @staticmethod
     def validate_input_keys(input_data: dict, expected_keys: set):
         if len(input_data) == 0:
@@ -426,9 +426,9 @@ def get_all_qa_pairs(self):
     def return_qa_pair_csv(self):
         data = self.get_all_qa_pairs()
 
-        with open('qa_pair.csv', 'w') as out:
+        with open("qa_pair.csv", "w") as out:
             csv_out = csv.writer(out)
-            csv_out.writerow(['question_format', 'answer_format'])
+            csv_out.writerow(["question_format", "answer_format"])
             for row in data:
                 csv_out.writerow(row)
 
@@ -439,8 +439,11 @@ def full_fuzzy_match(self, tag_value, identifier):
         return fuzz.ratio(tag_value, identifier)
 
     def get_property_from_entity(
-        self, prop: str, entity: UNION_ENTITIES, identifier: str,
-        tag_column_map: dict = default_tag_column_dict
+        self,
+        prop: str,
+        entity: UNION_ENTITIES,
+        identifier: str,
+        tag_column_map: dict = default_tag_column_dict,
     ):
         """
         This function implements the abstractmethod to get a column of values
@@ -528,7 +531,7 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         """
 
         format_method_by_entity = {
-            AudioSampleMetaData : self.format_audio_sample_meta_data_dict
+            AudioSampleMetaData: self.format_audio_sample_meta_data_dict
         }
 
         # Format data (if needed), and validate data
@@ -538,7 +541,6 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
         return data_dict
 
-
     def insert_entity(self, entity_type, data_dict: dict) -> bool:
         """
         Inserts an entity into the database. The keys of data_dict should follow camelCase
@@ -558,26 +560,23 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
             True if all is good, else False
         """
 
-        # Validate and format entity data
+        # Get formatted data, entity attributes, and entity object
         formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
-
-        # Grab the entity class attributes and initialize entity
         entity_attributes = entity_type.__dict__
         entity = entity_type()
 
         # Logging...
         print("{}Inserting into {}...{}".format(
-              CYAN_COLOR_CODE, entity_attributes['__tablename__'], RESET_COLOR_CODE))
+              CYAN_COLOR_CODE, entity_attributes["__tablename__"], RESET_COLOR_CODE))
 
-        # Grab the entity class fields by cleaning the attributes dictionary 
-        # and discard anything with underscores in the front or back
+        # Grab the entity class fields by cleaning the attributes dictionary
         # Note: Make sure you don't label any important data fields with underscores in the front or back!
-        entity_fields = dict(filter(lambda i: not (i[0][0] == '_' or i[0][-1] == '_'), 
-                                    entity_attributes.items()))
+        entity_fields = list(dict(filter(lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
+                                         entity_attributes.items(),)).keys())[1:]
 
         # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
-        for entity_field in list(entity_fields.keys())[1:]:
+        for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
 
         # Perform the INSERT
@@ -599,7 +598,7 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
             "..."  : ...
         }
 
-        filter_fields is a list of variable names (strings) to match for when running an 
+        filter_fields is a list of variable names (strings) to match for when running an
         update query. If not provided, raises an error since it's not an update.
 
         ex: passing in filter_fields=["name", "title"] will check for an existing entity that has the
@@ -616,12 +615,11 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
 
         # If we're not filtering for anything, we shouldn't be calling update_entity
         if len(filter_fields) == 0:
-            raise RuntimeError("update_entity for {} requires filter_fields list to filter by.".format(entity_type))
+            msg = "update_entity for {} requires filter_fields list to filter by."
+            raise RuntimeError(msg.format(entity_type))
 
-        # Validate and format entity data
+        # Get formatted data and entity attributes
         formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
-
-        # Grab the entity class attributes and initialize entity to None
         entity_attributes = entity_type.__dict__
 
         # Run a SELECT query to see if an entity that matches the values under the fields in the filter_fields list exists
@@ -630,23 +628,23 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
             query = query.filter(getattr(entity_type, field) == formatted_data[field])
         entity = query.first()
 
+        # Logging...
         if entity:
             print("{}Updating {} in {}...{}".format(
-                  YELLOW_COLOR_CODE, entity, entity_attributes['__tablename__'], RESET_COLOR_CODE))
+                YELLOW_COLOR_CODE, entity, entity_attributes["__tablename__"], RESET_COLOR_CODE))
         else:
             entity = entity_type()
             print("{}Matching Entity not found - Inserting {} in {}...{}".format(
-                  YELLOW_COLOR_CODE, entity, entity_attributes['__tablename__'], RESET_COLOR_CODE))
+                YELLOW_COLOR_CODE, entity, entity_attributes["__tablename__"], RESET_COLOR_CODE))
 
-        # Grab the entity class fields by cleaning the attributes dictionary - 
-        # discard anything with underscores in the front or back
+        # Grab the entity class fields by cleaning the attributes dictionary
         # Note: Make sure you don't label any important data fields with underscores in the front or back!
-        entity_fields = dict(filter(lambda i: not (i[0][0] == '_' or i[0][-1] == '_'), 
-                                    entity_attributes.items()))
+        entity_fields = list(dict(filter(lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
+                                         entity_attributes.items())).keys())[1:]
 
         # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
-        for entity_field in list(entity_fields.keys())[1:]:
+        for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
 
         # Perform the actual UPDATE/INSERT
@@ -659,7 +657,7 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
 
     def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
         """
-        raw_data_dict at this point looks like:
+        data_dict at this point looks like:
         {
             "isWakeWord": True,
             "firstName": "jj",
@@ -680,20 +678,15 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             A new, formatted data dictionary
         """
 
-        is_wake_word_by_label = {
-            "ww" : True,
-            "nww" : False,
-            True : True,
-            False : False
-        }
+        is_wake_word_by_label = {"ww": True, "nww": False, True: True, False: False}
 
         noise_level_by_label = {
-            "q" : NoiseLevel.quiet,
-            "quiet" : NoiseLevel.quiet,
-            "m" : NoiseLevel.medium,
-            "medium" : NoiseLevel.medium,
-            "l" : NoiseLevel.loud,
-            "loud" : NoiseLevel.loud
+            "q": NoiseLevel.quiet,
+            "quiet": NoiseLevel.quiet,
+            "m": NoiseLevel.medium,
+            "medium": NoiseLevel.medium,
+            "l": NoiseLevel.loud,
+            "loud": NoiseLevel.loud,
         }
 
         data_dict["first_name"] = data_dict.pop("firstName")
@@ -704,7 +697,7 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
         else:
             msg = "unexpected values for isWakeWord\n"
             msg += "expected 'ww' or True or 'nww' or False but got '{}'"
-            msg = msg.format(raw_data_dict["isWakeWord"])
+            msg = msg.format(data_dict["isWakeWord"])
             raise BadDictionaryValueError(msg)
 
         if data_dict["noiseLevel"] in noise_level_by_label:
@@ -738,7 +731,7 @@ def __del__(self):
         "tone": "serious-but-not-really",
         "timestamp": 1577077883,
         "username": "guest",
-        "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"  # noqa because too hard.
+        "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav",  # noqa because too hard.
     }
 
     db.insert_entity(AudioSampleMetaData, data)
@@ -747,10 +740,10 @@ def __del__(self):
         "building_number": 1,
         "name": "Administration",
         "longitude": -120.658561,
-        "latitude": 35.300960
+        "latitude": 35.300960,
     }
 
-    db.update_entity(Locations, data, ['building_number'])
+    db.update_entity(Locations, data, ["building_number"])
 
     data = {
         "club_name": "Cal Poly Computer Science and Artificial Intelligence",
@@ -762,7 +755,7 @@ def __del__(self):
         "contact_phone": "7349723564",
         "box": "89",
         "advisor": "Franz Kurfess",
-        "affiliation": "None"
+        "affiliation": "None",
     }
 
     db.insert_entity(Clubs, data)
@@ -775,12 +768,11 @@ def __del__(self):
         "phone": "+1.805.756.2824",
         "office": "014-0254A",
         "type": SectionType.lab,
-        "days": set({'M', 'W', 'F'}),
+        "days": set({"M", "W", "F"}),
         "start": "10:10 AM",
         "end": "11:00 AM",
         "location": "014-0257",
-        "department": "CENG-Computer Science & Software Engineering"
+        "department": "CENG-Computer Science & Software Engineering",
     }
 
     db.insert_entity(Sections, data)
-    
diff --git a/requirements.txt b/requirements.txt
index 0aaba5b..263ea14 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -24,6 +24,7 @@ itsdangerous==1.1.0
 Jinja2==2.11.1
 MarkupSafe==1.1.1
 marshmallow==3.5.0
+mock==4.0.1
 murmurhash==1.0.2
 mysql-connector-python==8.0.18
 nltk==3.4.5
@@ -36,6 +37,7 @@ protobuf==3.11.3
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
 PyDrive==1.3.1
+pytest==5.3.5
 python-dateutil==2.8.1
 python-Levenshtein==0.12.0
 pytz==2019.3
diff --git a/run_tests.sh b/run_tests.sh
index 6e705b3..7d6cc0b 100755
--- a/run_tests.sh
+++ b/run_tests.sh
@@ -1,2 +1,2 @@
 #!/bin/bash
-pytest tests/*
+python -m pytest
\ No newline at end of file
diff --git a/tests/TestEntity.py b/tests/TestEntity.py
new file mode 100644
index 0000000..a0334e7
--- /dev/null
+++ b/tests/TestEntity.py
@@ -0,0 +1,17 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class TestEntity(Base):
+    __tablename__ = "Test"
+    entity_id = Column(Integer, primary_key=True)
+    value_one = Column(String(64))
+    value_two = Column(String(64))
+    value_three = Column(String(64))
+
+    def __repr__(self):
+        return "<TestEntity (value_one={}, value_two={}, value_three={})>".format(
+            self.value_one, self.value_two, self.value_three
+        )
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
new file mode 100644
index 0000000..dc5d975
--- /dev/null
+++ b/tests/test_database_wrapper.py
@@ -0,0 +1,63 @@
+from mock import patch, Mock
+from database_wrapper import *
+from .TestEntity import TestEntity
+
+
+data_dict = {
+    "value_one": "test1",
+    "value_two": "test2",
+    "value_three": "test3"
+}
+
+
+@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data")
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+@patch.object(NimbusMySQLAlchemy, "_create_database_session")
+def test_insert_entity(mock_create_session, mock_create_engine ,mock_validate):
+    # Setup mocks and test_db instance
+    mock_validate.return_value = data_dict
+    test_db = NimbusMySQLAlchemy()
+    test_db.session = Mock()
+
+    # Insert entity and assert that add/commit were called
+    test_db.insert_entity(TestEntity, data_dict)
+    test_db.session.add.assert_called_once()
+    test_db.session.commit.assert_called_once()
+
+    # Assert that the entity inserted was populated with the right fields
+    entity = test_db.session.add.call_args.args[0]
+
+    for field in list(data_dict.keys()):
+        assert getattr(entity, field) is data_dict[field]
+
+
+@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data")
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+@patch.object(NimbusMySQLAlchemy, "_create_database_session")
+def test_update_entity(mock_create_session, mock_create_engine, mock_validate):
+    # Setup mocks and test_db instance
+    mock_validate.return_value = data_dict
+    test_db = NimbusMySQLAlchemy()
+    test_db.session = Mock()
+
+    # Insert entity and assert that add/commit were called
+    test_db.update_entity(TestEntity, data_dict, ["value_one"])
+    test_db.session.add.assert_called_once()
+    test_db.session.commit.assert_called_once()
+
+    # Assert that the entity inserted was populated with the right fields
+    entity = test_db.session.add.call_args.args[0]
+
+    for field in list(data_dict.keys()):
+        assert getattr(entity, field) is data_dict[field]
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+@patch.object(NimbusMySQLAlchemy, "_create_database_session")
+def test_update_entity_no_filter_fields_error(mock_create_engine, mock_create_session):
+    test_db = NimbusMySQLAlchemy()
+    try:
+        test_db.update_entity(TestEntity, data_dict, [])
+    except RuntimeError as e:
+        if "requires filter_fields list" not in str(e):
+            raise RuntimeError("Error not raised")
diff --git a/tests/test_new_data_calendars_endpoint.py b/tests/test_new_data_calendars_endpoint.py
deleted file mode 100644
index e27be74..0000000
--- a/tests/test_new_data_calendars_endpoint.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import requests  # noqa
-import json
-
-BASE_URL = "http://0.0.0.0:8080"
-URL = f"{BASE_URL}/new_data/calendars"
-
-
-# TODO: assert other properties like
-#       * if data already exists in database, then no update
-#       * if given bad data values then response.status_code == bad
-#       * if given missing data keys then ...
-#       * if given ....... ????
-
-
-def test_post_one_calendar():
-    data = {
-        "calendars": [
-            {
-                "date": "7_4_2020",
-                "day": "4",
-                "month": "July",
-                "year": "2020",
-                "raw_events_text": ["TEST EVENT"],
-            }
-        ]
-    }
-
-    # aka 'request body' aka 'payload'
-    request_json = json.dumps(data)
-
-    headers = {"Content-Type": "application/json"}
-    print("request_json:\n\n", request_json, "\n")
-    response = requests.post(URL, data=request_json, headers=headers)
-
-    # printouts
-    print("response.ok", response.ok)
-    print("response.status_code", response.status_code)
-    print("response.text", response.text)
-
-    # assertions
-    assert response.ok is True
-    assert response.status_code == 200
-    assert response.text == "SUCCESS"
-
diff --git a/tests/test_new_data_clubs_endpoint.py b/tests/test_new_data_clubs_endpoint.py
deleted file mode 100644
index 84cb64c..0000000
--- a/tests/test_new_data_clubs_endpoint.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import requests  # noqa
-import json
-
-BASE_URL = "http://0.0.0.0:8080"
-URL = f"{BASE_URL}/new_data/clubs"
-
-
-# TODO: assert other properties like
-#       * if data already exists in database, then no update
-#       * if given bad data values then response.status_code == bad
-#       * if given missing data keys then ...
-#       * if given ....... ????
-
-
-def test_post_one_club():
-    data = {
-        "clubs": [
-            {
-                "club_name": "test_club",
-                "types": "Academic, Special Interest",
-                "desc": "description",
-                "contact_email": "test@test.com",
-                "contact_email_2": "test@test.com",
-                "contact_person": "Test Person",
-                "contact_phone": 12223334444,
-                "box": 89,
-                "advisor": "Test Person",
-                "affiliation": None,
-            }
-        ]
-    }
-
-    # aka 'request body' aka 'payload'
-    request_json = json.dumps(data)
-
-    headers = {"Content-Type": "application/json"}
-    print("request_json:\n\n", request_json, "\n")
-    response = requests.post(URL, data=request_json, headers=headers)
-
-    # printouts
-    print("response.ok", response.ok)
-    print("response.status_code", response.status_code)
-    print("response.text", response.text)
-
-    # assertions
-    assert response.ok is True
-    assert response.status_code == 200
-    assert response.text == "SUCCESS"
diff --git a/tests/test_new_data_courses_endpoint.py b/tests/test_new_data_courses_endpoint.py
deleted file mode 100644
index 0e64afc..0000000
--- a/tests/test_new_data_courses_endpoint.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import requests  # noqa
-import json
-
-BASE_URL = "http://0.0.0.0:8080"
-URL = f"{BASE_URL}/new_data/courses"
-
-
-def test_post_one_course():
-    data = {
-        "courses": [
-            {
-                "dept": "CPE",
-                "courseNum": 357,
-                "units": "4",
-                "termsOffered": "F,W,SP",
-                "courseName": "Systems Programming",
-                "raw_concurrent_text": "N/A",
-                "raw_recommended_text": "N/A",
-                "raw_prerequisites_text": "CSC/CPE,102,and,CSC/CPE,103",
-            }
-        ]
-    }
-
-    # aka 'request body' aka 'payload'
-    request_json = json.dumps(data)
-
-    headers = {"Content-Type": "application/json"}
-    print("request_json:\n\n", request_json, "\n")
-    response = requests.post(URL, data=request_json, headers=headers)
-
-    # printouts
-    print("response.ok", response.ok)
-    print("response.status_code", response.status_code)
-    print("response.text", response.text)
-
-    # assertions
-    assert response.ok is True
-    assert response.status_code == 200
-    assert response.text == "SUCCESS"
diff --git a/tests/test_new_data_location_endpoint.py b/tests/test_new_data_location_endpoint.py
deleted file mode 100644
index 5ea19b8..0000000
--- a/tests/test_new_data_location_endpoint.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import requests  # noqa
-import json
-
-BASE_URL = "http://0.0.0.0:8080"
-URL = f"{BASE_URL}/new_data/locations"
-
-
-# TODO: assert other properties like
-#       * if data already exists in database, then no update
-#       * if given bad data values then response.status_code == bad
-#       * if given missing data keys then ...
-#       * if given ....... ????
-
-
-def test_post_one_course():
-    data = {
-        "locations": [
-            {
-                "building_number": 1,
-                "name": "Test Building",
-                "longitude": -120.658561,
-                "latitude": 35.300960,
-            }
-        ]
-    }
-
-    # aka 'request body' aka 'payload'
-    request_json = json.dumps(data)
-
-    headers = {"Content-Type": "application/json"}
-    print("request_json:\n\n", request_json, "\n")
-    response = requests.post(URL, data=request_json, headers=headers)
-
-    # printouts
-    print("response.ok", response.ok)
-    print("response.status_code", response.status_code)
-    print("response.text", response.text)
-
-    # assertions
-    assert response.ok is True
-    assert response.status_code == 200
-    assert response.text == "SUCCESS"
-
diff --git a/tests/test_new_data_wakeword_endpoint.py b/tests/test_new_data_wakeword_endpoint.py
deleted file mode 100644
index 7feaf8c..0000000
--- a/tests/test_new_data_wakeword_endpoint.py
+++ /dev/null
@@ -1,46 +0,0 @@
-# import requests  # noqa
-# import json
-
-# BASE_URL = "http://0.0.0.0:8080"
-# URL = f"{BASE_URL}/new_data/wakeword"
-# WAVE_FILENAME = "happy.wav"
-
-# # TODO: assert other properties like
-# #       * if data already exists in database, then no update
-# #       * if given bad data values then response.status_code == bad
-# #       * if given missing data keys then ...
-# #       * if given ....... ????
-
-
-# def test_post_one_wakeword():
-#     # TODO: make sure the pydrive.settings precondition is set betfore
-#     #       running this
-#     # read in a wav file as bytes
-#     wav_file_binary = open(WAVE_FILENAME, "rb").read()
-
-#     data = {
-#         "isWakeWord": (None, "false"),
-#         "noiseLevel": (None, "m"),
-#         "tone": (None, "neutral"),
-#         "emphasis": (None, "iss"),
-#         "script": (None, "nimbus"),
-#         "timestamp": (None, "1582932079"),
-#         "location": (None, "Baker 110"),
-#         "gender": (None, "m"),
-#         "lastName": (None, "Aikens"),
-#         "firstName": (None, "Miles"),
-#         "wav_file": ("happy.wav", wav_file_binary),
-#     }
-
-#     # print("data:\n\n", data, "\n")
-#     response = requests.post(URL, files=data)
-
-#     # printouts
-#     print("response.ok", response.ok)
-#     print("response.status_code", response.status_code)
-#     print("response.text", response.text)
-
-#     # assertions
-#     assert response.ok is True
-#     assert response.status_code == 200
-#     assert response.text == "SUCCESS"

From 715e6e28c4f70b916b3a4ae8205b63ef8b069064 Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 22 Mar 2020 16:41:54 -0700
Subject: [PATCH 161/272] Get code coverage up

---
 database_wrapper.py                    |  69 +------
 tests/{TestEntity.py => MockEntity.py} |   4 +-
 tests/test_database_wrapper.py         | 250 ++++++++++++++++++++++---
 3 files changed, 229 insertions(+), 94 deletions(-)
 rename tests/{TestEntity.py => MockEntity.py} (83%)

diff --git a/database_wrapper.py b/database_wrapper.py
index bb27fee..8a807f1 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -375,14 +375,14 @@ def validate_input_keys(input_data: dict, expected_keys: set):
             msg = msg.format(expected_keys, set(input_data.keys()))
             raise BadDictionaryKeyError(msg)
 
-        # assert that the formatted_data does not have extra keys
+        # assert that the input_data does not have extra keys
         for k in input_data:
             if k not in expected_keys:
                 msg = "expected: {} but got: {}"
                 msg = msg.format(expected_keys, set(input_data.keys()))
                 raise BadDictionaryKeyError(msg)
 
-        # assert that the keys_i_care_about are in formatted_data
+        # assert that the keys_i_care_about are in input_data
         for k in expected_keys:
             if k not in input_data:
                 msg = "expected: {} but got: {}"
@@ -415,7 +415,6 @@ def _create_database_session(self):
         print("initialized database session")
 
     def get_all_qa_pairs(self):
-
         qa_entity = QuestionAnswerPair
 
         query_session = self.session.query(qa_entity.question_format, qa_entity.answer_format)
@@ -710,69 +709,5 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
 
         return data_dict
 
-    def _execute(self, query: str):
-        return self.engine.execute(query)
-
     def __del__(self):
         print("NimbusMySQLAlchemy closed")
-
-
-if __name__ == "__main__":
-    db = NimbusMySQLAlchemy()
-    db._create_all_tables()
-
-    data = {
-        "isWakeWord": True,
-        "firstName": "jj",
-        "lastName": "doe",
-        "gender": "f",
-        "noiseLevel": "q",
-        "location": "here",
-        "tone": "serious-but-not-really",
-        "timestamp": 1577077883,
-        "username": "guest",
-        "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav",  # noqa because too hard.
-    }
-
-    db.insert_entity(AudioSampleMetaData, data)
-
-    data = {
-        "building_number": 1,
-        "name": "Administration",
-        "longitude": -120.658561,
-        "latitude": 35.300960,
-    }
-
-    db.update_entity(Locations, data, ["building_number"])
-
-    data = {
-        "club_name": "Cal Poly Computer Science and Artificial Intelligence",
-        "types": "Academic, Special Interest",
-        "desc": "The Computer Science and Artificial Intelligence club provides...",
-        "contact_email": "maikens@calpoly.edu",
-        "contact_email_2": "fkurfess@calpoly.edu",
-        "contact_person": "Miles Aikens",
-        "contact_phone": "7349723564",
-        "box": "89",
-        "advisor": "Franz Kurfess",
-        "affiliation": "None",
-    }
-
-    db.insert_entity(Clubs, data)
-
-    data = {
-        "section_name": "CSC 480_06",
-        "instructor": "Kauffman, Daniel Alexander",
-        "alias": "dkauffma",
-        "title": "Instructor AY",
-        "phone": "+1.805.756.2824",
-        "office": "014-0254A",
-        "type": SectionType.lab,
-        "days": set({"M", "W", "F"}),
-        "start": "10:10 AM",
-        "end": "11:00 AM",
-        "location": "014-0257",
-        "department": "CENG-Computer Science & Software Engineering",
-    }
-
-    db.insert_entity(Sections, data)
diff --git a/tests/TestEntity.py b/tests/MockEntity.py
similarity index 83%
rename from tests/TestEntity.py
rename to tests/MockEntity.py
index a0334e7..2fe6924 100644
--- a/tests/TestEntity.py
+++ b/tests/MockEntity.py
@@ -4,7 +4,7 @@
 Base = declarative_base()
 
 
-class TestEntity(Base):
+class MockEntity(Base):
     __tablename__ = "Test"
     entity_id = Column(Integer, primary_key=True)
     value_one = Column(String(64))
@@ -12,6 +12,6 @@ class TestEntity(Base):
     value_three = Column(String(64))
 
     def __repr__(self):
-        return "<TestEntity (value_one={}, value_two={}, value_three={})>".format(
+        return "<MockEntity (value_one={}, value_two={}, value_three={})>".format(
             self.value_one, self.value_two, self.value_three
         )
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
index dc5d975..f858325 100644
--- a/tests/test_database_wrapper.py
+++ b/tests/test_database_wrapper.py
@@ -1,63 +1,263 @@
+import json
+import os
+import pytest
+
+from database_wrapper import (NimbusMySQLAlchemy, BadDictionaryKeyError, BadDictionaryValueError,
+                              NimbusDatabaseError, UnsupportedDatabaseError, BadConfigFileError)
 from mock import patch, Mock
-from database_wrapper import *
-from .TestEntity import TestEntity
+from .MockEntity import MockEntity
+
 
+ENTITY_TYPES = ["AudioSampleMetaData", "Calendars", "Courses", "Locations",
+                "QuestionAnswerPair", "Professors", "Clubs", "Sections"]
 
-data_dict = {
+MOCK_ENTITY_DATA_DICT = {
     "value_one": "test1",
     "value_two": "test2",
     "value_three": "test3"
 }
 
+TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT = {
+    "isWakeWord": True,
+    "firstName": "jj",
+    "lastName": "doe",
+    "gender": "f",
+    "noiseLevel": "q",
+    "location": "here",
+    "tone": "serious-but-not-really",
+    "timestamp": 1577077883,
+    "username": "guest",
+    "filename": "ww_q_serious-fake_m_doe_jj_1577077883_guest.wav"
+}
+
+TEST_CONFIG_FILENAME = "testConfig.json"
+TEST_CONFIG_DICT = {
+    "mysql": {
+        "host": "testHost",
+        "port": "testPort",
+        "user": "testUser",
+        "password": "testPassword",
+        "database": "testDatabase"
+    },
+}
+
+RDBMS = "mysql"
+PIP_PACKAGE = "mysqlconnector"
+SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
+    RDBMS,
+    PIP_PACKAGE,
+    TEST_CONFIG_DICT["mysql"]["user"],
+    TEST_CONFIG_DICT["mysql"]["password"],
+    TEST_CONFIG_DICT["mysql"]["host"],
+    TEST_CONFIG_DICT["mysql"]["port"],
+    TEST_CONFIG_DICT["mysql"]["database"]
+)
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    test_db.validate_input_keys(MOCK_ENTITY_DATA_DICT, MOCK_ENTITY_DATA_DICT.keys())
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys_no_input(mock_create_engine):
+    test_db = NimbusMySQLAlchemy
+    with pytest.raises(BadDictionaryKeyError):
+        test_db.validate_input_keys({}, [])
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys_extra_keys(mock_create_engine):
+    test_db = NimbusMySQLAlchemy
+    extra_key_dict = dict(MOCK_ENTITY_DATA_DICT)
+    extra_key_dict["value_extra"] = "test4"
+    with pytest.raises(BadDictionaryKeyError):
+        test_db.validate_input_keys(extra_key_dict, MOCK_ENTITY_DATA_DICT.keys())
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys_missing_keys(mock_create_engine):
+    test_db = NimbusMySQLAlchemy
+    missing_key_dict = {"value_one": "test1"}
+    with pytest.raises(BadDictionaryKeyError):
+        test_db.validate_input_keys(missing_key_dict, MOCK_ENTITY_DATA_DICT.keys())
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_create_all_tables(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+
+    for entity_type in ENTITY_TYPES:
+        mock_entity = Mock()
+        mock_entity.__tablename__ = entity_type
+        mock_entity.__table__ = Mock()
+        mock_entity.__table__.create.return_value = None
+        setattr(test_db, entity_type, mock_entity)
+
+    test_db._create_all_tables()
+
+    # Verify that each Entity had .create() called on it once.
+    for entity_type in ENTITY_TYPES:
+        getattr(test_db, entity_type).__table__.create.assert_called_once()
+
 
-@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data")
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
-@patch.object(NimbusMySQLAlchemy, "_create_database_session")
-def test_insert_entity(mock_create_session, mock_create_engine ,mock_validate):
+def test_create_all_tables_already_exists(mock_create_engine):
+    mock_inspector = Mock()
+    mock_inspector.get_table_names.return_value = ENTITY_TYPES
+
+    test_db = NimbusMySQLAlchemy()
+    test_db.inspector = mock_inspector
+
+    for entity_type in ENTITY_TYPES:
+        mock_entity = Mock()
+        mock_entity.__tablename__ = entity_type
+        mock_entity.__table__ = Mock()
+        setattr(test_db, entity_type, mock_entity)
+
+    test_db._create_all_tables()
+
+    # Verify that each Entity did not have .create() called on it
+    for entity_type in ENTITY_TYPES:
+        assert not getattr(test_db, entity_type).__table__.create.called
+
+
+@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data", return_value=MOCK_ENTITY_DATA_DICT)
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_insert_entity(mock_create_engine, mock_validate):
     # Setup mocks and test_db instance
-    mock_validate.return_value = data_dict
     test_db = NimbusMySQLAlchemy()
     test_db.session = Mock()
 
     # Insert entity and assert that add/commit were called
-    test_db.insert_entity(TestEntity, data_dict)
+    test_db.insert_entity(MockEntity, MOCK_ENTITY_DATA_DICT)
     test_db.session.add.assert_called_once()
     test_db.session.commit.assert_called_once()
 
     # Assert that the entity inserted was populated with the right fields
     entity = test_db.session.add.call_args.args[0]
+    for field in list(MOCK_ENTITY_DATA_DICT.keys()):
+        assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
+
+
+@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data", return_value=MOCK_ENTITY_DATA_DICT)
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_update_entity_no_match(mock_create_engine, mock_validate):
+    # Setup mocks and test_db instance
+    mock_session = Mock()
+    mock_query = Mock()
+
+    mock_session.query.return_value = mock_query
+    mock_query.filter.return_value = mock_query
+    mock_query.first.return_value = None
+
+    test_db = NimbusMySQLAlchemy()
+    test_db.session = mock_session
+
+    # Insert entity and assert that add/commit were called
+    test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, ["value_one"])
+    test_db.session.add.assert_called_once()
+    test_db.session.commit.assert_called_once()
 
-    for field in list(data_dict.keys()):
-        assert getattr(entity, field) is data_dict[field]
+    # Assert that the entity inserted was populated with the right fields
+    entity = test_db.session.add.call_args.args[0]
+    for field in list(MOCK_ENTITY_DATA_DICT.keys()):
+        assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
 
 
-@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data")
+@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data", return_value=MOCK_ENTITY_DATA_DICT)
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
-@patch.object(NimbusMySQLAlchemy, "_create_database_session")
-def test_update_entity(mock_create_session, mock_create_engine, mock_validate):
+def test_update_entity_match(mock_create_engine, mock_validate):
     # Setup mocks and test_db instance
-    mock_validate.return_value = data_dict
+    mock_session = Mock()
+    mock_query = Mock()
+
+    mock_session.query.return_value = mock_query
+    mock_query.filter.return_value = mock_query
+    mock_query.first.return_value = MockEntity
+
     test_db = NimbusMySQLAlchemy()
-    test_db.session = Mock()
+    test_db.session = mock_session
 
     # Insert entity and assert that add/commit were called
-    test_db.update_entity(TestEntity, data_dict, ["value_one"])
+    test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, ["value_one"])
     test_db.session.add.assert_called_once()
     test_db.session.commit.assert_called_once()
 
     # Assert that the entity inserted was populated with the right fields
     entity = test_db.session.add.call_args.args[0]
+    for field in list(MOCK_ENTITY_DATA_DICT.keys()):
+        assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_update_entity_no_filter_fields_error(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    with pytest.raises(RuntimeError, match="filter"):
+        test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, [])
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_invalid_entity_type(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    with pytest.raises(KeyError):
+        test_db.insert_entity(MockEntity, MOCK_ENTITY_DATA_DICT)
+    with pytest.raises(KeyError):
+        test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, ["test"])
+
 
-    for field in list(data_dict.keys()):
-        assert getattr(entity, field) is data_dict[field]
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_format_audio_sample_meta_data_dict(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    test_db.format_audio_sample_meta_data_dict(dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT))
 
 
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
-@patch.object(NimbusMySQLAlchemy, "_create_database_session")
-def test_update_entity_no_filter_fields_error(mock_create_engine, mock_create_session):
+def test_format_audio_sample_meta_data_dict_bad_input(mock_create_engine):
     test_db = NimbusMySQLAlchemy()
-    try:
-        test_db.update_entity(TestEntity, data_dict, [])
-    except RuntimeError as e:
-        if "requires filter_fields list" not in str(e):
-            raise RuntimeError("Error not raised")
+    invalid_is_wake_word = dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT)
+    invalid_is_wake_word["isWakeWord"] = "test"
+    invalid_noise_level = dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT)
+    invalid_noise_level["noiseLevel"] = "test"
+
+    with pytest.raises(BadDictionaryValueError):
+        test_db.format_audio_sample_meta_data_dict(invalid_is_wake_word)
+    with pytest.raises(BadDictionaryValueError):
+        test_db.format_audio_sample_meta_data_dict(invalid_noise_level)
+
+
+@patch("database_wrapper.create_engine")
+def test_create_engine(mock_create_engine):
+    mock_engine = Mock()
+    mock_create_engine.return_value = mock_engine
+
+    with open("testConfig.json", "w+") as test_config:
+        json.dump(TEST_CONFIG_DICT, test_config)
+
+    test_db = NimbusMySQLAlchemy(TEST_CONFIG_FILENAME)
+    mock_create_engine.assert_called_once_with(SQLALCHEMY_DATABASE_URI)
+    assert test_db.engine is mock_engine
+
+    os.remove(TEST_CONFIG_FILENAME)
+
+
+@patch("database_wrapper.create_engine", return_value=None)
+def test_create_engine_bad_config(mock_create_engine):
+    with open(TEST_CONFIG_FILENAME, "w+") as test_config:
+        json.dump(TEST_CONFIG_DICT, test_config)
+
+    with pytest.raises(BadConfigFileError, match="failed to connect"):
+        test_db = NimbusMySQLAlchemy(TEST_CONFIG_FILENAME)
+
+    os.remove(TEST_CONFIG_FILENAME)
+
+
+def test_create_engine_missing_field():
+    with open(TEST_CONFIG_FILENAME, "w+") as test_config:
+        json.dump({}, test_config)
+
+    with pytest.raises(BadConfigFileError, match="missing mysql field"):
+        test_db = NimbusMySQLAlchemy(TEST_CONFIG_FILENAME)
+
+    os.remove(TEST_CONFIG_FILENAME)

From 57f726f97a8363c820ebbe3d5370700cc794ef94 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 25 Mar 2020 16:41:51 -0700
Subject: [PATCH 162/272] Create coverage.sh

---
 coverage.sh | 7 +++++++
 1 file changed, 7 insertions(+)
 create mode 100755 coverage.sh

diff --git a/coverage.sh b/coverage.sh
new file mode 100755
index 0000000..cce9055
--- /dev/null
+++ b/coverage.sh
@@ -0,0 +1,7 @@
+python -m coverage run -m pytest
+
+# omit because pipenv creates a "~/.local" directory
+coverage html --omit="*.local*"
+
+# open htmlcov/index.html
+

From df611f170d87ea840d330fe437026cf5fe5f1dbe Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 25 Mar 2020 16:45:01 -0700
Subject: [PATCH 163/272] pipenv install --dev coverage

---
 Pipfile      |   2 +-
 Pipfile.lock | 183 +++++++++++++++++++++++++++++++--------------------
 coverage.sh  |   2 +-
 3 files changed, 112 insertions(+), 75 deletions(-)

diff --git a/Pipfile b/Pipfile
index 6069200..8390cfa 100644
--- a/Pipfile
+++ b/Pipfile
@@ -22,7 +22,7 @@ pytest = "==5.3.4"
 pyre-check = "==0.0.41"
 ## like the Unix `make` but better
 invoke = "==1.4.1"
-
+coverage = "*"
 
 [packages]
 # REST API
diff --git a/Pipfile.lock b/Pipfile.lock
index 6575e89..b539c93 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "fb30d39142d3cc83d8909d9f4f4648a60ac33d4ec3a5a94d8dac7b90ef727a24"
+            "sha256": "9129a404b7674ce8ccf71d139fa02779d6b960bd79d29f28673cb51c8d806fe4"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -67,10 +67,10 @@
         },
         "click": {
             "hashes": [
-                "sha256:2335065e6395b9e67ca716de5f7526736bfa6ceead690adf616d925bdc622b13",
-                "sha256:5b94b49521f6456670fdb30cd82a4eca9412788a93fa6dd6df72c94d5a8ff2d7"
+                "sha256:8a18b4ea89d8820c5d0c7da8a64b2c324b4dabb695804dbfea19b9be9d88c0cc",
+                "sha256:e345d143d80bf5ee7534056164e5e112ea5e22716bbb1ce727941f4c8b471b9a"
             ],
-            "version": "==7.0"
+            "version": "==7.1.1"
         },
         "cymem": {
             "hashes": [
@@ -126,17 +126,17 @@
         },
         "google-api-python-client": {
             "hashes": [
-                "sha256:3121d55d106ef1a2756e8074239512055bd99eb44da417b3dd680f9a1385adec",
-                "sha256:a8a88174f66d92aed7ebbd73744c2c319b4b1ce828e565f9ec721352d2e2fb8c"
+                "sha256:0f5b42a14e2d2f7dee40f2e4514531dbe95ebde9c2173b1c4040a65c427e7900",
+                "sha256:5032ad1af5046889649b3848f2e871889fbb6ae440198a549fe1699581300386"
             ],
-            "version": "==1.7.11"
+            "version": "==1.8.0"
         },
         "google-auth": {
             "hashes": [
-                "sha256:1ee22e22f35d6e00f068d7b3999b2ce24ecb5d0dcbd485aa6896d2b83c8907d6",
-                "sha256:28a848d47c55075a0f29d7e26b7a213515c137ab8f0670e546e46d1277060e47"
+                "sha256:016924388770b7e66c7e9ade1c4c3144ee88812d79697fd6c0dad9abdfcda2fd",
+                "sha256:01d686448f57d3bc027726474faa1aa650ba333bedb392e06938b0add8ec8d3a"
             ],
-            "version": "==1.11.2"
+            "version": "==1.12.0"
         },
         "google-auth-httplib2": {
             "hashes": [
@@ -240,11 +240,11 @@
         },
         "importlib-metadata": {
             "hashes": [
-                "sha256:06f5b3a99029c7134207dd882428a66992a9de2bef7c2b699b5641f9886c3302",
-                "sha256:b97607a1a18a5100839aec1dc26a1ea17ee0d93b20b0f008d80a5a050afb200b"
+                "sha256:0095bf45caca7a93685cbb9e5ef49f0ed37f848639df8f4684f07229aa7a8322",
+                "sha256:dd381cddc02a58a23667ef675164ad70848d82966d3a8fddea96dcfb51064803"
             ],
             "markers": "python_version < '3.8'",
-            "version": "==1.5.0"
+            "version": "==1.5.1"
         },
         "itsdangerous": {
             "hashes": [
@@ -300,11 +300,11 @@
         },
         "marshmallow": {
             "hashes": [
-                "sha256:3a94945a7461f2ab4df9576e51c97d66bee2c86155d3d3933fab752b31effab8",
-                "sha256:4b95c7735f93eb781dfdc4dded028108998cad759dda8dd9d4b5b4ac574cbf13"
+                "sha256:90854221bbb1498d003a0c3cc9d8390259137551917961c8b5258c64026b2f85",
+                "sha256:ac2e13b30165501b7d41fc0371b8df35944f5849769d136f20e2c5f6cdc6e665"
             ],
             "index": "pypi",
-            "version": "==3.5.0"
+            "version": "==3.5.1"
         },
         "murmurhash": {
             "hashes": [
@@ -365,29 +365,29 @@
         },
         "numpy": {
             "hashes": [
-                "sha256:1786a08236f2c92ae0e70423c45e1e62788ed33028f94ca99c4df03f5be6b3c6",
-                "sha256:17aa7a81fe7599a10f2b7d95856dc5cf84a4eefa45bc96123cbbc3ebc568994e",
-                "sha256:20b26aaa5b3da029942cdcce719b363dbe58696ad182aff0e5dcb1687ec946dc",
-                "sha256:2d75908ab3ced4223ccba595b48e538afa5ecc37405923d1fea6906d7c3a50bc",
-                "sha256:39d2c685af15d3ce682c99ce5925cc66efc824652e10990d2462dfe9b8918c6a",
-                "sha256:56bc8ded6fcd9adea90f65377438f9fea8c05fcf7c5ba766bef258d0da1554aa",
-                "sha256:590355aeade1a2eaba17617c19edccb7db8d78760175256e3cf94590a1a964f3",
-                "sha256:70a840a26f4e61defa7bdf811d7498a284ced303dfbc35acb7be12a39b2aa121",
-                "sha256:77c3bfe65d8560487052ad55c6998a04b654c2fbc36d546aef2b2e511e760971",
-                "sha256:9537eecf179f566fd1c160a2e912ca0b8e02d773af0a7a1120ad4f7507cd0d26",
-                "sha256:9acdf933c1fd263c513a2df3dceecea6f3ff4419d80bf238510976bf9bcb26cd",
-                "sha256:ae0975f42ab1f28364dcda3dde3cf6c1ddab3e1d4b2909da0cb0191fa9ca0480",
-                "sha256:b3af02ecc999c8003e538e60c89a2b37646b39b688d4e44d7373e11c2debabec",
-                "sha256:b6ff59cee96b454516e47e7721098e6ceebef435e3e21ac2d6c3b8b02628eb77",
-                "sha256:b765ed3930b92812aa698a455847141869ef755a87e099fddd4ccf9d81fffb57",
-                "sha256:c98c5ffd7d41611407a1103ae11c8b634ad6a43606eca3e2a5a269e5d6e8eb07",
-                "sha256:cf7eb6b1025d3e169989416b1adcd676624c2dbed9e3bcb7137f51bfc8cc2572",
-                "sha256:d92350c22b150c1cae7ebb0ee8b5670cc84848f6359cf6b5d8f86617098a9b73",
-                "sha256:e422c3152921cece8b6a2fb6b0b4d73b6579bd20ae075e7d15143e711f3ca2ca",
-                "sha256:e840f552a509e3380b0f0ec977e8124d0dc34dc0e68289ca28f4d7c1d0d79474",
-                "sha256:f3d0a94ad151870978fb93538e95411c83899c9dc63e6fb65542f769568ecfa5"
-            ],
-            "version": "==1.18.1"
+                "sha256:1598a6de323508cfeed6b7cd6c4efb43324f4692e20d1f76e1feec7f59013448",
+                "sha256:1b0ece94018ae21163d1f651b527156e1f03943b986188dd81bc7e066eae9d1c",
+                "sha256:2e40be731ad618cb4974d5ba60d373cdf4f1b8dcbf1dcf4d9dff5e212baf69c5",
+                "sha256:4ba59db1fcc27ea31368af524dcf874d9277f21fd2e1f7f1e2e0c75ee61419ed",
+                "sha256:59ca9c6592da581a03d42cc4e270732552243dc45e87248aa8d636d53812f6a5",
+                "sha256:5e0feb76849ca3e83dd396254e47c7dba65b3fa9ed3df67c2556293ae3e16de3",
+                "sha256:6d205249a0293e62bbb3898c4c2e1ff8a22f98375a34775a259a0523111a8f6c",
+                "sha256:6fcc5a3990e269f86d388f165a089259893851437b904f422d301cdce4ff25c8",
+                "sha256:82847f2765835c8e5308f136bc34018d09b49037ec23ecc42b246424c767056b",
+                "sha256:87902e5c03355335fc5992a74ba0247a70d937f326d852fc613b7f53516c0963",
+                "sha256:9ab21d1cb156a620d3999dd92f7d1c86824c622873841d6b080ca5495fa10fef",
+                "sha256:a1baa1dc8ecd88fb2d2a651671a84b9938461e8a8eed13e2f0a812a94084d1fa",
+                "sha256:a244f7af80dacf21054386539699ce29bcc64796ed9850c99a34b41305630286",
+                "sha256:a35af656a7ba1d3decdd4fae5322b87277de8ac98b7d9da657d9e212ece76a61",
+                "sha256:b1fe1a6f3a6f355f6c29789b5927f8bd4f134a4bd9a781099a7c4f66af8850f5",
+                "sha256:b5ad0adb51b2dee7d0ee75a69e9871e2ddfb061c73ea8bc439376298141f77f5",
+                "sha256:ba3c7a2814ec8a176bb71f91478293d633c08582119e713a0c5351c0f77698da",
+                "sha256:cd77d58fb2acf57c1d1ee2835567cd70e6f1835e32090538f17f8a3a99e5e34b",
+                "sha256:cdb3a70285e8220875e4d2bc394e49b4988bdb1298ffa4e0bd81b2f613be397c",
+                "sha256:deb529c40c3f1e38d53d5ae6cd077c21f1d49e13afc7936f7f868455e16b64a0",
+                "sha256:e7894793e6e8540dbeac77c87b489e331947813511108ae097f1715c018b8f3d"
+            ],
+            "version": "==1.18.2"
         },
         "oauth2client": {
             "hashes": [
@@ -636,20 +636,20 @@
         },
         "srsly": {
             "hashes": [
-                "sha256:1102b4984f9f56364540e47d83fac3e7543903dfbb92f0d0e5dd3bfd40528934",
-                "sha256:1c4354095f63f59fc52a4362960faaddebcfa7a240f07209eb50e8f9ec39e700",
-                "sha256:3ceae42dbbda49b57a4937e0ca28f56c2a121c89008cc7ec09e0a9d8d705c03e",
-                "sha256:4ce9d6ab6d1c617150455ef5ba8abd5107a8e65956f06c2efc86697f4cb4b431",
-                "sha256:51c47f98dc06d5c2d1d7806cd38dcc834ab9906dc12170bc21105e5a9590a6fd",
-                "sha256:a672ffaa77680f355933cf424739ae9ecff767908a374ad194692b53040fda01",
-                "sha256:abe3d98d9ea8f7dac898119cd9861466c49cfe0f16287c9f859e0d4cab43a7a4",
-                "sha256:c6bdf53a87770139c6a9d75b3e664505bd81c022312fafca35ed38714e4ecdf1",
-                "sha256:c82e6dc3727454edc6ccdb1d07d5bc0aab3f43539fb8d9f973cf769135d2c7e4",
-                "sha256:ca1ec20ea6e14ad56ccaa84aa6c79d6e51fccf32e0040372b4d06c6e5dbb7fee",
-                "sha256:d5c0c718b2f67fc425d9bb3cc26b6141cb2f53251cdc145f58b70095241a3308",
-                "sha256:de329ba0ff451308d59e40c39372f5231e7c364f4933d7457788203630bdede2"
+                "sha256:18bad26c34cf5a8853fbf018fd168a7bf2ea7ce661e66476c25dac711cb79c9b",
+                "sha256:2179cf1e88c250e89e40227bd5848341011c170079b3d424987d067de6a73f42",
+                "sha256:21cfb0e5dea2c4515b5c2daa78402d5782c6425b4f58af40d2e2cb45e4778d8c",
+                "sha256:29434753a77481ec6129991f4116f983085cc8005c1ad963261124842e8c05fc",
+                "sha256:3f3975e8cb67194d26dd03508469b1303f8b994f30e7782f7eae25fef6dc4aad",
+                "sha256:46213d8f094b348a9433c825ac1eba36a21aa25a8bae6f29c2f9f053e15be961",
+                "sha256:59258b81d567df207f8a0a33c4b5fa232afccf1d927c8ce3ba5395bfd64c0ed8",
+                "sha256:7c553a709fd56a37a07f969e849f55a0aeabaeb7677bebc588a640ab8ec134aa",
+                "sha256:95849d84e8929be248a180e672c8ce1ed98b1341263bc983efdf8427465584f1",
+                "sha256:b94d8a13c60e3298a9ba12b1b211026e8378c7d087efd7ce46a3f2d8d4678d94",
+                "sha256:c8beff52c104a7ffe4a15513a05dc0497998cf83aa1ca39454489994d18c1c07",
+                "sha256:d409beb7257208633c974c01f9dc3265562fb6802caee7de21880761ba87c3ed"
             ],
-            "version": "==1.0.1"
+            "version": "==1.0.2"
         },
         "thinc": {
             "hashes": [
@@ -706,10 +706,10 @@
         },
         "zipp": {
             "hashes": [
-                "sha256:12248a63bbdf7548f89cb4c7cda4681e537031eda29c02ea29674bc6854460c2",
-                "sha256:7c0f8e91abc0dc07a5068f315c52cb30c66bfbc581e5b50704c8a2f6ebae794a"
+                "sha256:aa36550ff0c0b7ef7fa639055d797116ee891440eac1a56f378e2d3179e0320b",
+                "sha256:c599e4d75c98f6798c509911d08a22e6c021d074469042177c8c86fb92eefd96"
             ],
-            "version": "==3.0.0"
+            "version": "==3.1.0"
         }
     },
     "develop": {
@@ -751,10 +751,47 @@
         },
         "click": {
             "hashes": [
-                "sha256:2335065e6395b9e67ca716de5f7526736bfa6ceead690adf616d925bdc622b13",
-                "sha256:5b94b49521f6456670fdb30cd82a4eca9412788a93fa6dd6df72c94d5a8ff2d7"
+                "sha256:8a18b4ea89d8820c5d0c7da8a64b2c324b4dabb695804dbfea19b9be9d88c0cc",
+                "sha256:e345d143d80bf5ee7534056164e5e112ea5e22716bbb1ce727941f4c8b471b9a"
+            ],
+            "version": "==7.1.1"
+        },
+        "coverage": {
+            "hashes": [
+                "sha256:03f630aba2b9b0d69871c2e8d23a69b7fe94a1e2f5f10df5049c0df99db639a0",
+                "sha256:046a1a742e66d065d16fb564a26c2a15867f17695e7f3d358d7b1ad8a61bca30",
+                "sha256:0a907199566269e1cfa304325cc3b45c72ae341fbb3253ddde19fa820ded7a8b",
+                "sha256:165a48268bfb5a77e2d9dbb80de7ea917332a79c7adb747bd005b3a07ff8caf0",
+                "sha256:1b60a95fc995649464e0cd48cecc8288bac5f4198f21d04b8229dc4097d76823",
+                "sha256:1f66cf263ec77af5b8fe14ef14c5e46e2eb4a795ac495ad7c03adc72ae43fafe",
+                "sha256:2e08c32cbede4a29e2a701822291ae2bc9b5220a971bba9d1e7615312efd3037",
+                "sha256:3844c3dab800ca8536f75ae89f3cf566848a3eb2af4d9f7b1103b4f4f7a5dad6",
+                "sha256:408ce64078398b2ee2ec08199ea3fcf382828d2f8a19c5a5ba2946fe5ddc6c31",
+                "sha256:443be7602c790960b9514567917af538cac7807a7c0c0727c4d2bbd4014920fd",
+                "sha256:4482f69e0701139d0f2c44f3c395d1d1d37abd81bfafbf9b6efbe2542679d892",
+                "sha256:4a8a259bf990044351baf69d3b23e575699dd60b18460c71e81dc565f5819ac1",
+                "sha256:513e6526e0082c59a984448f4104c9bf346c2da9961779ede1fc458e8e8a1f78",
+                "sha256:5f587dfd83cb669933186661a351ad6fc7166273bc3e3a1531ec5c783d997aac",
+                "sha256:62061e87071497951155cbccee487980524d7abea647a1b2a6eb6b9647df9006",
+                "sha256:641e329e7f2c01531c45c687efcec8aeca2a78a4ff26d49184dce3d53fc35014",
+                "sha256:65a7e00c00472cd0f59ae09d2fb8a8aaae7f4a0cf54b2b74f3138d9f9ceb9cb2",
+                "sha256:6ad6ca45e9e92c05295f638e78cd42bfaaf8ee07878c9ed73e93190b26c125f7",
+                "sha256:73aa6e86034dad9f00f4bbf5a666a889d17d79db73bc5af04abd6c20a014d9c8",
+                "sha256:7c9762f80a25d8d0e4ab3cb1af5d9dffbddb3ee5d21c43e3474c84bf5ff941f7",
+                "sha256:85596aa5d9aac1bf39fe39d9fa1051b0f00823982a1de5766e35d495b4a36ca9",
+                "sha256:86a0ea78fd851b313b2e712266f663e13b6bc78c2fb260b079e8b67d970474b1",
+                "sha256:8a620767b8209f3446197c0e29ba895d75a1e272a36af0786ec70fe7834e4307",
+                "sha256:922fb9ef2c67c3ab20e22948dcfd783397e4c043a5c5fa5ff5e9df5529074b0a",
+                "sha256:9fad78c13e71546a76c2f8789623eec8e499f8d2d799f4b4547162ce0a4df435",
+                "sha256:a37c6233b28e5bc340054cf6170e7090a4e85069513320275a4dc929144dccf0",
+                "sha256:c3fc325ce4cbf902d05a80daa47b645d07e796a80682c1c5800d6ac5045193e5",
+                "sha256:cda33311cb9fb9323958a69499a667bd728a39a7aa4718d7622597a44c4f1441",
+                "sha256:db1d4e38c9b15be1521722e946ee24f6db95b189d1447fa9ff18dd16ba89f732",
+                "sha256:eda55e6e9ea258f5e4add23bcf33dc53b2c319e70806e180aecbff8d90ea24de",
+                "sha256:f372cdbb240e09ee855735b9d85e7f50730dcfb6296b74b95a3e5dea0615c4c1"
             ],
-            "version": "==7.0"
+            "index": "pypi",
+            "version": "==5.0.4"
         },
         "dataclasses": {
             "hashes": [
@@ -797,11 +834,11 @@
         },
         "importlib-metadata": {
             "hashes": [
-                "sha256:06f5b3a99029c7134207dd882428a66992a9de2bef7c2b699b5641f9886c3302",
-                "sha256:b97607a1a18a5100839aec1dc26a1ea17ee0d93b20b0f008d80a5a050afb200b"
+                "sha256:0095bf45caca7a93685cbb9e5ef49f0ed37f848639df8f4684f07229aa7a8322",
+                "sha256:dd381cddc02a58a23667ef675164ad70848d82966d3a8fddea96dcfb51064803"
             ],
             "markers": "python_version < '3.8'",
-            "version": "==1.5.0"
+            "version": "==1.5.1"
         },
         "invoke": {
             "hashes": [
@@ -814,10 +851,10 @@
         },
         "libcst": {
             "hashes": [
-                "sha256:5100b4ab49891ecf2d00b5c451b4c6334a29e2436e575ab79596e79d84742248",
-                "sha256:838ca702c41ec3b396ae893d2b81a2b4cde5a58676a0cfc62976e2200b573f11"
+                "sha256:32c3a31d8a2d6994faf1cb2b966a23da67cf206e543f99e70120fb9a7d164c5e",
+                "sha256:846818fcc622a28fd1f4b8b8019e904c3a63c21470be1972a72be28a87cbb6f1"
             ],
-            "version": "==0.3.2"
+            "version": "==0.3.3"
         },
         "mccabe": {
             "hashes": [
@@ -842,10 +879,10 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:170748228214b70b672c581a3dd610ee51f733018650740e98c7df862a583f73",
-                "sha256:e665345f9eef0c621aa0bf2f8d78cf6d21904eef16a93f020240b704a57f1334"
+                "sha256:3c292b474fda1671ec57d46d739d072bfd495a4f51ad01a055121d81e952b7a3",
+                "sha256:82f77b9bee21c1bafbf35a84905d604d5d1223801d639cf3ed140bd651c08752"
             ],
-            "version": "==20.1"
+            "version": "==20.3"
         },
         "pathspec": {
             "hashes": [
@@ -1058,17 +1095,17 @@
         },
         "wcwidth": {
             "hashes": [
-                "sha256:8fd29383f539be45b20bd4df0dc29c20ba48654a41e661925e612311e9f3c603",
-                "sha256:f28b3e8a6483e5d49e7f8949ac1a78314e740333ae305b4ba5defd3e74fb37a8"
+                "sha256:cafe2186b3c009a04067022ce1dcd79cb38d8d65ee4f4791b8888d6599d1bbe1",
+                "sha256:ee73862862a156bf77ff92b09034fc4825dd3af9cf81bc5b360668d425f3c5f1"
             ],
-            "version": "==0.1.8"
+            "version": "==0.1.9"
         },
         "zipp": {
             "hashes": [
-                "sha256:12248a63bbdf7548f89cb4c7cda4681e537031eda29c02ea29674bc6854460c2",
-                "sha256:7c0f8e91abc0dc07a5068f315c52cb30c66bfbc581e5b50704c8a2f6ebae794a"
+                "sha256:aa36550ff0c0b7ef7fa639055d797116ee891440eac1a56f378e2d3179e0320b",
+                "sha256:c599e4d75c98f6798c509911d08a22e6c021d074469042177c8c86fb92eefd96"
             ],
-            "version": "==3.0.0"
+            "version": "==3.1.0"
         }
     }
 }
diff --git a/coverage.sh b/coverage.sh
index cce9055..89a7484 100755
--- a/coverage.sh
+++ b/coverage.sh
@@ -3,5 +3,5 @@ python -m coverage run -m pytest
 # omit because pipenv creates a "~/.local" directory
 coverage html --omit="*.local*"
 
-# open htmlcov/index.html
+echo "\nopen htmlcov/index.html\n"
 

From 9a0592aa61a1d17073b54016a37ebd83b08d1174 Mon Sep 17 00:00:00 2001
From: Chidi Ewenike <chidiewenike@gmail.com>
Date: Sun, 29 Mar 2020 13:34:01 -0700
Subject: [PATCH 164/272] added the OfficeHours entity schema

---
 Entity/OfficeHours.py | 33 +++++++++++++++++++++++++++------
 1 file changed, 27 insertions(+), 6 deletions(-)

diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
index 9b213ea..8263bff 100644
--- a/Entity/OfficeHours.py
+++ b/Entity/OfficeHours.py
@@ -1,7 +1,28 @@
-class OfficeHours:
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
 
-    def __init__(self, Professors_id, ohroom, ohday, ohtime):
-        self.Professors_id = Professors_id
-        self.ohroom = ohroom
-        self.ohday = ohday
-        self.ohtime = ohtime
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+class OfficeHours(Base):
+    __tablename__ = "OfficeHours"
+
+    id = Column(Integer, primary_key=True) 
+    name = Column(Text)
+    office = Column(Text)
+    email = Column(Text)
+    monday = Column(Text)
+    tuesday = Column(Text)
+    wednesday = Column(Text)
+    thursday = Column(Text)
+    friday = Column(Text)
+
+    def __repr__(self):
+        return "<Office Hours (Name={}, Office={}, Email={}, Monday={}, Tuesday={}, Wednesday={}, Thursday={}, Friday={})>".format(
+            self.name, self.office, self.email, self.monday, self.tuesday, self.wednesday, self.thursday, self.friday)
+
+if __name__ == "__main__":
+    
+    oh = OfficeHours()
+
+    print(oh)

From 1c09edb4437c0deeea90aca7872a092b1748cee2 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Tue, 31 Mar 2020 02:13:50 -0700
Subject: [PATCH 165/272] Added the ability to save new phrases from
 csai-recorder to the sql server

---
 Entity/QuestionAnswerPair.py |   1 +
 database_wrapper.py          |  99 ++++++++++++++++----
 flask_api.py                 | 132 ++++++++++++++++++---------
 gunicorn_config 2.py         |   9 ++
 gunicorn_config.py           |   1 +
 modules/validators.py        | 172 ++++++++++++++++++++++++++++-------
 nimbus-config-secrets        |   1 +
 7 files changed, 321 insertions(+), 94 deletions(-)
 create mode 100644 gunicorn_config 2.py
 create mode 160000 nimbus-config-secrets

diff --git a/Entity/QuestionAnswerPair.py b/Entity/QuestionAnswerPair.py
index 0e25493..9a264cf 100644
--- a/Entity/QuestionAnswerPair.py
+++ b/Entity/QuestionAnswerPair.py
@@ -23,6 +23,7 @@ class QuestionAnswerPair(Base):
     id = Column(Integer, primary_key=True)
     # SQLAlchemy resolves Boolean to TINYINT within MYSQL
     can_we_answer = Column(Boolean)
+    verified = Column(Boolean)
     answer_type = Column(Enum(AnswerType))
     question_format = Column(Text)
     answer_format = Column(Text)
diff --git a/database_wrapper.py b/database_wrapper.py
index 8a807f1..9a280cc 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -24,7 +24,7 @@
 from Entity.Calendars import Calendars
 from Entity.Courses import Courses
 from Entity.Locations import Locations
-from Entity.QuestionAnswerPair import QuestionAnswerPair
+from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
 from Entity.Professors import Professors, ProfessorsProperties
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
@@ -92,6 +92,13 @@
         "location",
         "department",
     ],
+    QuestionAnswerPair: [
+        "can_we_answer",
+        "verified",
+        "answer_type",
+        "question_format",
+        "answer_format",
+    ],
 }
 
 
@@ -355,7 +362,7 @@ def _create_engine(self, config_file: str) -> Engine:
                 mysql_config["password"],
                 mysql_config["host"],
                 mysql_config["port"],
-                mysql_config["database"]
+                mysql_config["database"],
             )
             engine = create_engine(SQLALCHEMY_DATABASE_URI)
 
@@ -417,7 +424,9 @@ def _create_database_session(self):
     def get_all_qa_pairs(self):
         qa_entity = QuestionAnswerPair
 
-        query_session = self.session.query(qa_entity.question_format, qa_entity.answer_format)
+        query_session = self.session.query(
+            qa_entity.question_format, qa_entity.answer_format
+        )
         result = query_session.all()
 
         return result
@@ -485,7 +494,9 @@ def get_property_from_entity(
             total_similarity = 0
             tags = []
             for tag_prop in tag_props:
-                total_similarity += self.full_fuzzy_match(str(row.__dict__[tag_prop]), identifier)
+                total_similarity += self.full_fuzzy_match(
+                    str(row.__dict__[tag_prop]), identifier
+                )
                 tags.append(str(row.__dict__[tag_prop]))
 
             if total_similarity > MATCH_THRESHOLD:
@@ -530,7 +541,8 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         """
 
         format_method_by_entity = {
-            AudioSampleMetaData: self.format_audio_sample_meta_data_dict
+            AudioSampleMetaData: self.format_audio_sample_meta_data_dict,
+            QuestionAnswerPair: self.format_query_phrase_dict,
         }
 
         # Format data (if needed), and validate data
@@ -565,13 +577,22 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
         entity = entity_type()
 
         # Logging...
-        print("{}Inserting into {}...{}".format(
-              CYAN_COLOR_CODE, entity_attributes["__tablename__"], RESET_COLOR_CODE))
+        print(
+            "{}Inserting into {}...{}".format(
+                CYAN_COLOR_CODE, entity_attributes["__tablename__"], RESET_COLOR_CODE
+            )
+        )
 
         # Grab the entity class fields by cleaning the attributes dictionary
         # Note: Make sure you don't label any important data fields with underscores in the front or back!
-        entity_fields = list(dict(filter(lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
-                                         entity_attributes.items(),)).keys())[1:]
+        entity_fields = list(
+            dict(
+                filter(
+                    lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
+                    entity_attributes.items(),
+                )
+            ).keys()
+        )[1:]
 
         # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
@@ -629,17 +650,35 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
 
         # Logging...
         if entity:
-            print("{}Updating {} in {}...{}".format(
-                YELLOW_COLOR_CODE, entity, entity_attributes["__tablename__"], RESET_COLOR_CODE))
+            print(
+                "{}Updating {} in {}...{}".format(
+                    YELLOW_COLOR_CODE,
+                    entity,
+                    entity_attributes["__tablename__"],
+                    RESET_COLOR_CODE,
+                )
+            )
         else:
             entity = entity_type()
-            print("{}Matching Entity not found - Inserting {} in {}...{}".format(
-                YELLOW_COLOR_CODE, entity, entity_attributes["__tablename__"], RESET_COLOR_CODE))
+            print(
+                "{}Matching Entity not found - Inserting {} in {}...{}".format(
+                    YELLOW_COLOR_CODE,
+                    entity,
+                    entity_attributes["__tablename__"],
+                    RESET_COLOR_CODE,
+                )
+            )
 
         # Grab the entity class fields by cleaning the attributes dictionary
         # Note: Make sure you don't label any important data fields with underscores in the front or back!
-        entity_fields = list(dict(filter(lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
-                                         entity_attributes.items())).keys())[1:]
+        entity_fields = list(
+            dict(
+                filter(
+                    lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
+                    entity_attributes.items(),
+                )
+            ).keys()
+        )[1:]
 
         # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
@@ -692,7 +731,9 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
         data_dict["last_name"] = data_dict.pop("lastName")
 
         if data_dict["isWakeWord"] in is_wake_word_by_label:
-            data_dict["is_wake_word"] = is_wake_word_by_label[data_dict.pop("isWakeWord")]
+            data_dict["is_wake_word"] = is_wake_word_by_label[
+                data_dict.pop("isWakeWord")
+            ]
         else:
             msg = "unexpected values for isWakeWord\n"
             msg += "expected 'ww' or True or 'nww' or False but got '{}'"
@@ -709,5 +750,31 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
 
         return data_dict
 
+    def format_query_phrase_dict(self, phrases: dict) -> dict:
+        """
+        Formats query phrase to be saved to the server.
+        
+        Parameters
+        ----------
+        `phrases : dict` A question answer pair:
+        - {question: {format: str, variables: str}, answer: {format: str, variables: str}}
+
+        Raises
+        ------
+        BadDictionaryValueError
+
+        Returns
+        -------
+        dict
+            formatted for the server
+        """
+        return {
+            "can_we_answer": False,
+            "verified": False,
+            "answer_type": AnswerType.other,  # Will change after verified
+            "question_format": phrases["question"]["format"],
+            "answer_format": phrases["answer"]["format"],
+        }
+
     def __del__(self):
         print("NimbusMySQLAlchemy closed")
diff --git a/flask_api.py b/flask_api.py
index d6478c5..f029b7c 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -11,17 +11,29 @@
 from pydrive.drive import GoogleDrive
 
 import gunicorn_config
-from database_wrapper import (BadDictionaryKeyError, BadDictionaryValueError,
-                              NimbusDatabaseError, NimbusMySQLAlchemy)
+from database_wrapper import (
+    BadDictionaryKeyError,
+    BadDictionaryValueError,
+    NimbusDatabaseError,
+    NimbusMySQLAlchemy,
+)
 from modules.formatters import WakeWordFormatter
-from modules.validators import WakeWordValidator, WakeWordValidatorError
+from modules.validators import (
+    WakeWordValidator,
+    WakeWordValidatorError,
+    PhrasesValidator,
+    PhrasesValidatorError,
+)
+
+from Entity.AudioSampleMetaData import AudioSampleMetaData
+from Entity.QuestionAnswerPair import QuestionAnswerPair
 
 from nimbus import Nimbus
 
 BAD_REQUEST = 400
 SUCCESS = 200
 
-CONFIG_FILE_PATH = 'config.json'
+CONFIG_FILE_PATH = "config.json"
 
 app = Flask(__name__)
 CORS(app)
@@ -29,14 +41,15 @@
 # TODO: Initialize this somewhere else.
 nimbus = Nimbus()
 
-@app.route('/', methods=['GET', 'POST'])
+
+@app.route("/", methods=["GET", "POST"])
 def hello():
-    if (request.method == 'POST'):
+    if request.method == "POST":
         request_body = request.get_json()
-        return jsonify({'you sent': request_body})
+        return jsonify({"you sent": request_body})
     else:
         response_code = 42
-        response_json = jsonify({'name': 'hello {}'.format(str(app))})
+        response_json = jsonify({"name": "hello {}".format(str(app))})
         return response_json, response_code
 
 
@@ -44,7 +57,7 @@ def generate_session_token() -> str:
     return "SOME_NEW_TOKEN"
 
 
-@app.route('/ask', methods=['POST'])
+@app.route("/ask", methods=["POST"])
 def handle_question():
     """
     POST (not GET) request because the `question` is submitted
@@ -58,24 +71,22 @@ def handle_question():
 
     request_body = request.get_json()
 
-    question = request_body.get('question', None)
+    question = request_body.get("question", None)
 
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
 
-    response = {
-        "answer": nimbus.answer_question(question)
-    }
+    response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:
-        response['session'] = request_body["session"]
+        response["session"] = request_body["session"]
     else:
-        response['session'] = generate_session_token()
+        response["session"] = generate_session_token()
 
     return jsonify(response), SUCCESS
 
 
-@app.route('/new_data/wakeword', methods=['POST'])
+@app.route("/new_data/wakeword", methods=["POST"])
 def save_a_recording():
     """Given the audio metadata & audio file, resamples it, saves to storage.
     """
@@ -86,7 +97,7 @@ def save_a_recording():
     if issues:
         try:
             data = validator.fix(data, issues)
-        except WakeWordValidatorError as err:
+        except FormatterValidatorError as err:
             return str(err), BAD_REQUEST
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
@@ -97,7 +108,7 @@ def save_a_recording():
     save_audiofile(filename, request.files["wav_file"])
 
     # Let's also save the filename to the database for quick reference
-    formatted_data['filename'] = filename
+    formatted_data["filename"] = filename
 
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     try:
@@ -117,14 +128,46 @@ def save_a_recording():
     return filename
 
 
-@app.route('/new_data/courses', methods=['POST'])
+@app.route("/new_data/phrase", methods=["POST"])
+def save_query_phrase():
+    validator = PhrasesValidator()
+    data = request.get_json()
+    try:
+        issues = validator.validate(data)
+    except:
+        return (
+            "Please format the query data: {question: {text: string, variables: list}, answer: {text: string, variables: list}}",
+            BAD_REQUEST,
+        )
+    if issues:
+        try:
+            data = validator.fix(data, issues)
+        except PhrasesValidatorError as err:
+            print("error", err)
+            return str(err), BAD_REQUEST
+
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    try:
+        phrase_saved = db.insert_entity(QuestionAnswerPair, data)
+    except (BadDictionaryKeyError, BadDictionaryValueError, NimbusDatabaseError) as e:
+        return str(e), BAD_REQUEST
+    except Exception as e:
+        raise e
+
+    if phrase_saved:
+        return "Phrase has been saved", SUCCESS
+    else:
+        return "An error was encountered while saving to database", BAD_REQUEST
+
+
+@app.route("/new_data/courses", methods=["POST"])
 def save_courses():
     """
     Persists list of courses
     """
     data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-    for course in data['courses']:
+    for course in data["courses"]:
         try:
             db.save_course(course)
         except BadDictionaryKeyError as e:
@@ -142,14 +185,14 @@ def save_courses():
     return "SUCCESS"
 
 
-@app.route('/new_data/clubs', methods=['POST'])
+@app.route("/new_data/clubs", methods=["POST"])
 def save_clubs():
     """
     Persists list of clubs
     """
     data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-    for club in data['clubs']:
+    for club in data["clubs"]:
         try:
             db.save_club(club)
         except BadDictionaryKeyError as e:
@@ -167,14 +210,14 @@ def save_clubs():
     return "SUCCESS"
 
 
-@app.route('/new_data/locations', methods=['POST'])
+@app.route("/new_data/locations", methods=["POST"])
 def save_locations():
     """
     Persists list of locations
     """
     data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-    for location in data['locations']:
+    for location in data["locations"]:
         try:
             db.save_location(location)
         except BadDictionaryKeyError as e:
@@ -192,14 +235,14 @@ def save_locations():
     return "SUCCESS"
 
 
-@app.route('/new_data/calendars', methods=['POST'])
+@app.route("/new_data/calendars", methods=["POST"])
 def save_calendars():
     """
     Persists list of calendars
     """
     data = request.get_json()
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-    for calendar in data['calendars']:
+    for calendar in data["calendars"]:
         try:
             db.save_calendar(calendar)
         except BadDictionaryKeyError as e:
@@ -222,12 +265,18 @@ def create_filename(form):
     Creates a string filename that adheres to the Nimbus foramtting standard.
     """
     order = [
-        'isWakeWord', 'noiseLevel', 'tone', 'location', 'gender', 'lastName',
-        'firstName', 'timestamp', 'username'
+        "isWakeWord",
+        "noiseLevel",
+        "tone",
+        "location",
+        "gender",
+        "lastName",
+        "firstName",
+        "timestamp",
+        "username",
     ]
-    values = list(
-        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
-    return '_'.join(values) + '.wav'
+    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    return "_".join(values) + ".wav"
 
 
 def resample_audio():
@@ -248,14 +297,13 @@ def save_audiofile(filename, content):
     # parent is our automatically uploaded file folder.  The ID should be read in from
     # folder_id.txt since we probably shouldn't have that ID floating around on GitHub"""
     folder_id = get_folder_id()
-    file = drive.CreateFile({
-        "parents": [{
-            "kind": "drive#fileLink",
-            "id": folder_id
-        }],
-        'title': filename,
-        'mimeType': 'audio/wav'
-    })
+    file = drive.CreateFile(
+        {
+            "parents": [{"kind": "drive#fileLink", "id": folder_id}],
+            "title": filename,
+            "mimeType": "audio/wav",
+        }
+    )
     # Set the content of the file to the POST request's wav_file parameter.
     file.content = content
     file.Upload()  # Upload file.
@@ -271,7 +319,5 @@ def convert_to_mfcc():
     pass
 
 
-if __name__ == '__main__':
-    app.run(host='0.0.0.0',
-            debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT)
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
diff --git a/gunicorn_config 2.py b/gunicorn_config 2.py
new file mode 100644
index 0000000..71767d7
--- /dev/null
+++ b/gunicorn_config 2.py	
@@ -0,0 +1,9 @@
+from os import environ
+import multiprocessing
+
+PORT = int(environ.get("PORT", 8080))
+DEBUG_MODE = int(environ.get("DEBUG_MODE", 1))
+
+# Gunicorn config
+bind = ":" + str(PORT)
+workers = 3
diff --git a/gunicorn_config.py b/gunicorn_config.py
index 71767d7..47a5d45 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -7,3 +7,4 @@
 # Gunicorn config
 bind = ":" + str(PORT)
 workers = 3
+threads = 3
diff --git a/modules/validators.py b/modules/validators.py
index c3fc6af..beb540a 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -1,22 +1,47 @@
 import time
 import enum
+from abc import ABC
 
 from werkzeug.exceptions import BadRequestKeyError
 
 
-class Validator:
-
+class Validator(ABC):
     def __init__(self):
         super().__init__()
 
-    def validate(self, data):
-        """Takes in a dictionary of data and returns a dictionary of issues"""
+    def validate(self, data: dict) -> dict:
+        """
+        Takes in a dictionary of data and returns a dictionary of issues
+        Parameters
+        ----------
+        - `data : dict` form data to validate
+
+        Returns
+        -------
+        dict
+            issues with the data
+        """
         return data
 
-    def fix(self, data, issues):
+    def fix(self, data: dict, issues) -> dict:
         """
         Takes measures to fill in missing data in form, cloning, mutating and then returning the data.
         If not possible, raises error.
+
+        Parameters
+        ----------
+        - `data : dict` form data to fix
+        - `issues: dict|list` lists of issues to fix for each form section
+
+        Returns
+        -------
+        dict
+            A fixed copy of the data
+
+        Raises
+        ------
+        Exception
+            when the issue with the data are not fixable.
         """
         return data
 
@@ -43,27 +68,20 @@ class WakeWordValidator(Validator):
     def __init__(self, validators=None):
         super().__init__()
         self.validators = validators or {
-            'isWakeWord':
-                lambda val: type(val) == str and
-                (val == 'true' or val == 'false'),
-            'noiseLevel':
-                lambda level: type(level) == str and level in 'qml' and len(
-                    level) == 1,
-            'tone':
-                lambda tone: type(tone) == str,
-            'location':
-                lambda location: type(location) == str,
-            'gender':
-                lambda gender: type(gender) == str and gender in 'mf' and len(
-                    gender) == 1,
-            'lastName':
-                lambda lastName: type(lastName) == str,
-            'firstName':
-                lambda firstName: type(firstName) == str,
-            'timestamp':
-                lambda timestamp: str.isdigit(timestamp),
-            'username':
-                lambda username: type(username) == str,
+            "isWakeWord": lambda val: type(val) == str
+            and (val == "true" or val == "false"),
+            "noiseLevel": lambda level: type(level) == str
+            and level in "qml"
+            and len(level) == 1,
+            "tone": lambda tone: type(tone) == str,
+            "location": lambda location: type(location) == str,
+            "gender": lambda gender: type(gender) == str
+            and gender in "mf"
+            and len(gender) == 1,
+            "lastName": lambda lastName: type(lastName) == str,
+            "firstName": lambda firstName: type(firstName) == str,
+            "timestamp": lambda timestamp: str.isdigit(timestamp),
+            "username": lambda username: type(username) == str,
         }
 
     def validate(self, data):
@@ -76,7 +94,7 @@ def validate(self, data):
             validator = self.validators[key]
             try:
                 value = data[key]
-                if (not validator(value)):
+                if not validator(value):
                     issues[key] = WakeWordValidatorIssue.INVALID
             except BadRequestKeyError as e:
                 print("caught BadRequestKeyError: ", e.args)
@@ -91,19 +109,103 @@ def fix(self, data, issues):
         form = data.copy()
         for key in issues:
             issue = issues[key]
-            if (issue == WakeWordValidatorIssue.DOES_NOT_EXIST):
-                if (key == 'username'):
-                    form[key] = 'guest'
-                    print('fixed username', form[key])
-                elif (key == 'timestamp'):
+            if issue == WakeWordValidatorIssue.DOES_NOT_EXIST:
+                if key == "username":
+                    form[key] = "guest"
+                    print("fixed username", form[key])
+                elif key == "timestamp":
                     form[key] = int(time.time())
-                    print('fixed timestamp', form[key])
+                    print("fixed timestamp", form[key])
                 else:
                     raise WakeWordValidatorError(
-                        f"Required audio metadata '{key}' was not provided")
-            elif (issue == WakeWordValidatorIssue.INVALID):
+                        f"Required audio metadata '{key}' was not provided"
+                    )
+            elif issue == WakeWordValidatorIssue.INVALID:
                 # TODO: anticipate invalid entries and correct them.
                 raise WakeWordValidatorError(
                     f"{key} has invalid value of {form[key]} with a type of {type(form[key])}"
                 )
         return form
+
+
+class PhrasesValidatorError(Exception):
+    """Unfixable data corruption in a query phrase object"""
+
+    def __init__(self, message: str):
+        super().__init__(self, message)
+        self.message = message
+
+
+class PhrasesValidatorIssue(enum.Enum):
+    INVALID = 0
+    DELIMITER_MISMATCH = 1
+    TOKEN_VAR_MISMATCH = 2
+
+
+class PhrasesValidator(Validator):
+    """Validates new query phrases passed from the web app"""
+
+    def __init__(self):
+        super().__init__()
+        self.error_messages = {
+            PhrasesValidatorIssue.INVALID: "An unknown error occurred",
+            PhrasesValidatorIssue.DELIMITER_MISMATCH: "The {field_name} field has mismatched bracket token delimiters (square braces).",
+            PhrasesValidatorIssue.TOKEN_VAR_MISMATCH: "The {field_name} field has a differing number of format tokens and variables. Please pass the same number or tokens as variables",
+        }
+
+    def validate(self, data: dict) -> dict:
+        """
+        Ensures that:
+        1. All tokens have an opening and closing delimiter.
+        2. The number of tokens equals the number of provided variables.
+
+        Parameters
+        ----------
+        `data : dict` A question answer pairing {question: {format: str, variables: str}, answer: {format: str, variables: str}}
+        """
+        issues = {"question": [], "answer": []}
+        for field, form in data.items():
+            # All tokens have an opening and closing delimiter
+            if form["format"].count("]") != form["format"].count("["):
+                issues[field].append(PhrasesValidatorIssue.DELIMITER_MISMATCH)
+            # Number of tokens must equal number of variables
+            if len(form["variables"]) != form["format"].count("["):
+                issues[field].append(PhrasesValidatorIssue.TOKEN_VAR_MISMATCH)
+        return issues
+
+    def fix(self, data: dict, issues: dict) -> dict:
+        """
+        Fixes phrases data. 
+        - Critical issues:
+            1. Question delimiters don't match up.
+            2. Question tokens don't the number of provided variables.
+        - Non critical issues:
+            1. Anything wrong with the answer. In this case only the question will be stored.
+
+        Parameters
+        ----------
+        - `data : dict` A question answer pairing - {question: {format: str, variables: str}, answer: {format: str, variables: str}}
+        - `issues: dict` lists of PhrasesValidatorIssues for the quesion answer pairing - {}
+
+        Returns
+        -------
+        dict
+            A fixed copy of the data
+
+        Raises
+        ------
+        PhrasesValidatorError
+            when the issue with the phrase data is not fixable.
+
+        """
+        form = data.copy()
+        question = issues["question"]
+        answer = issues["answer"]
+        if len(question):
+            err_msg = self.error_messages[question[0]].format(field_name="question")
+            print(f"error message {err_msg}")
+            raise PhrasesValidatorError(err_msg)
+        if len(answer):
+            form["answer"]["format"] = ""
+            form["answer"]["variables"] = []
+        return form
diff --git a/nimbus-config-secrets b/nimbus-config-secrets
new file mode 160000
index 0000000..47cbf69
--- /dev/null
+++ b/nimbus-config-secrets
@@ -0,0 +1 @@
+Subproject commit 47cbf69d56d3bd2a199131714967834fe65cfe68

From c93f5865aa0c2a54b0a884f93e13dfabe18d4d48 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Tue, 31 Mar 2020 18:47:08 -0700
Subject: [PATCH 166/272] Added and tested Miles' feedback

---
 flask_api.py         | 7 +++++--
 gunicorn_config 2.py | 9 ---------
 2 files changed, 5 insertions(+), 11 deletions(-)
 delete mode 100644 gunicorn_config 2.py

diff --git a/flask_api.py b/flask_api.py
index f029b7c..be328b8 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -32,6 +32,7 @@
 
 BAD_REQUEST = 400
 SUCCESS = 200
+SERVER_ERROR = 500
 
 CONFIG_FILE_PATH = "config.json"
 
@@ -149,15 +150,17 @@ def save_query_phrase():
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     try:
         phrase_saved = db.insert_entity(QuestionAnswerPair, data)
-    except (BadDictionaryKeyError, BadDictionaryValueError, NimbusDatabaseError) as e:
+    except (BadDictionaryKeyError, BadDictionaryValueError) as e:
         return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), SERVER_ERROR
     except Exception as e:
         raise e
 
     if phrase_saved:
         return "Phrase has been saved", SUCCESS
     else:
-        return "An error was encountered while saving to database", BAD_REQUEST
+        return "An error was encountered while saving to database", SERVER_ERROR
 
 
 @app.route("/new_data/courses", methods=["POST"])
diff --git a/gunicorn_config 2.py b/gunicorn_config 2.py
deleted file mode 100644
index 71767d7..0000000
--- a/gunicorn_config 2.py	
+++ /dev/null
@@ -1,9 +0,0 @@
-from os import environ
-import multiprocessing
-
-PORT = int(environ.get("PORT", 8080))
-DEBUG_MODE = int(environ.get("DEBUG_MODE", 1))
-
-# Gunicorn config
-bind = ":" + str(PORT)
-workers = 3

From 042960890905c06246e4c8b22f22411fea8ed7e8 Mon Sep 17 00:00:00 2001
From: Chidi Ewenike <chidiewenike@gmail.com>
Date: Wed, 1 Apr 2020 03:54:43 -0700
Subject: [PATCH 167/272] added office_hours_post_request.py which reads in the
 office hours csv, converts the data to a JSON, and makes a post request with
 the JSON. Also updated flask_api.py to take in the office hours JSON post
 request and updates the OfficeHours table

---
 flask_api.py                 | 111 +++++++++++++++++++-
 office_hours_post_request.py | 191 +++++++++++++++++++++++++++++++++++
 2 files changed, 301 insertions(+), 1 deletion(-)
 create mode 100644 office_hours_post_request.py

diff --git a/flask_api.py b/flask_api.py
index d6478c5..6784eae 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -117,6 +117,31 @@ def save_a_recording():
     return filename
 
 
+@app.route('/new_data/office_hours', methods=['POST'])
+def save_office_hours():
+    """
+    Persists list of office hours
+    """
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    data = request.get_json()
+    for professor in data:
+        try:
+            process_office_hours(data[professor], db)
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
 @app.route('/new_data/courses', methods=['POST'])
 def save_courses():
     """
@@ -230,6 +255,90 @@ def create_filename(form):
     return '_'.join(values) + '.wav'
 
 
+def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
+    """
+    Takes the path to a CSV, reads the data row-by-row,
+    and stores the data to the database
+
+    Ex: def process_office_hours(
+                        path_to_csv = "/path/to/office_hours.csv"
+                        )
+
+    """
+    # Set the entity type as the OfficeHours entity class
+    entity_type = db.OfficeHours
+    
+    # Check if the current entity is already within the database
+    if (db.get_property_from_entity(
+            prop="Name",
+            entity=entity_type,
+            identifier=current_prof["Name"]) != None):
+
+        update_office_hours = True
+
+    else:    
+        update_office_hours = False
+
+    # String for adding each day of office hours
+    office_hours = ""
+
+    # Split name for first and last name
+    split_name = current_prof["Name"].split(',')
+
+    # Extract each property for the entity
+    last_name = split_name[0].replace('"', '')
+    first_name = split_name[1].replace('"', '')
+    
+    # Check that each extracted property is not empty then add it to
+    # the office hours string
+    if current_prof["Monday"] != '':
+
+        # Check that the current property does not contain digits which
+        # implies that it is alternative information about availability
+        if (any(char.isdigit() for char in current_prof["Monday"]) == False):
+            office_hours = current_prof["Monday"]
+
+        # Otherwise it is a time
+        else:
+            office_hours += ("Monday " + current_prof["Monday"] + ", ") 
+
+    if current_prof["Tuesday"] != '':
+        office_hours += ("Tuesday " + current_prof["Tuesday"] + ", ") 
+
+    if current_prof["Wednesday"] != '':
+        office_hours += ("Wednesday " + current_prof["Wednesday"] + ", ") 
+
+    if current_prof["Thursday"] != '':
+        office_hours += ("Thursday " + current_prof["Thursday"] + ", ") 
+
+    if current_prof["Friday"] != '' and current_prof["Friday"] != '\n':
+        office_hours += ("Friday " + current_prof["Friday"] + ", ") 
+
+    # Generate the data structure for the database entry
+    sql_data = {
+            "Name"          : last_name + ", " + first_name,
+            "LastName"      : last_name,
+            "FirstName"     : first_name,
+            "Office"        : current_prof["Office"],
+            "Phone"         : current_prof["Phone"],
+            "Email"         : current_prof["Email"],
+            "Monday"        : current_prof["Monday"],
+            "Tuesday"       : current_prof["Tuesday"],
+            "Wednesday"     : current_prof["Wednesday"],
+            "Thursday"      : current_prof["Thursday"],
+            "Friday"        : current_prof["Friday"],
+            "OfficeHours"   : office_hours
+            }
+
+    # Update the entity properties if the entity already exists
+    if (update_office_hours == True):
+        db.update_entity(entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"])
+
+    # Otherwise, add the entity to the database
+    else:
+        db.insert_entity(entity_type=entity_type, data_dict=sql_data)
+
+
 def resample_audio():
     """
     Resample the audio file to adhere to the Nimbus audio sampling standard.
@@ -274,4 +383,4 @@ def convert_to_mfcc():
 if __name__ == '__main__':
     app.run(host='0.0.0.0',
             debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT)
+            port=gunicorn_config.PORT) 
diff --git a/office_hours_post_request.py b/office_hours_post_request.py
new file mode 100644
index 0000000..7442abf
--- /dev/null
+++ b/office_hours_post_request.py
@@ -0,0 +1,191 @@
+import csv
+import json
+import requests
+import sys
+
+def convert_to_dict(data_in: list):
+    '''
+    Takes a list of string lists which contains each row from
+    a CSV and generates a dictionary of dictionaries which is
+    each professor and their properties
+
+    Args: 
+            data_in (list of str lists)
+
+    Returns:
+            return_dict (dict of dicts)
+
+    Ex:
+    >> data_in = [[
+                    "Smith, John",
+                    "01-234",
+                    "4567",
+                    "jsmith@",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM"]
+                ]
+
+    >> oh_hours = convert_to_dict(data_in)
+    >> oh_hours
+       {
+
+        "Smith, John": 
+            {
+
+                "Name":     "Smith, John"
+                "Office":   "01-234"
+                "Phone":    "4567"
+                "Email":    "jsmith@"
+                "Monday":   "10:00 - 12:00 PM"
+                "Tuesday":  "",
+                "Wednesday":"10:00 - 12:00 PM"
+                "Thursday:  "",
+                "Friday":   "10:00 - 12:00 PM" }
+       }
+
+    '''
+
+    # Dictionary of professors to be returned
+    return_dict = {}
+  
+    try:
+
+        # Parse each list of the input which is a row from the CSV
+        for data in data_in:
+        
+            # Generate the office hours template dictionary
+            office_hours_dict = {
+                    "Name"      : "",
+                    "Office"    : "",
+                    "Phone"     : "",
+                    "Email"     : "",
+                    "Monday"    : "",
+                    "Tuesday"   : "",
+                    "Wednesday" : "",
+                    "Thursday"  : "",
+                    "Friday"    : ""
+                    }
+
+            # Populate each property of the office hours dictionary
+            office_hours_dict["Name"]        = data[0]
+            office_hours_dict["Office"]      = data[1]
+            office_hours_dict["Phone"]       = data[2]
+            office_hours_dict["Email"]       = data[3]
+            office_hours_dict["Monday"]      = data[4]
+            office_hours_dict["Tuesday"]     = data[5]
+            office_hours_dict["Wednesday"]   = data[6]
+            office_hours_dict["Thursday"]    = data[7]
+            office_hours_dict["Friday"]      = data[8]
+
+            # The key of the current professor of the professors dictionary
+            # is the professor's name
+            return_dict[data[0]] = office_hours_dict
+
+        return return_dict
+    
+    except Exception as e:
+        raise e 
+
+
+def process_csv(curr_file: str):
+    '''
+    Reads in the CSV and outputs a list of string lists
+    which is each row of the CSV
+
+    Args:
+        curr_file (str)
+
+    Return:
+        curr_data (list of str lists)
+
+    Ex:
+        >> out_list = process_csv("/path/to/office_hours.csv")
+        >> out_list
+            [[
+                    "Smith, John",
+                    "01-234",
+                    "4567",
+                    "jsmith@",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM"]
+            ]
+    '''
+    # List to be returned
+    curr_data = []
+
+    # Open the CSV and read the fields of the CSV
+    with open(curr_file, 'r') as csv_file:
+        csvreader = csv.reader(csv_file)
+        fields = next(csvreader)
+
+        # Iterate through each row and append the row
+        # to curr_data
+        for row in csvreader:
+            curr_data.append(row) 
+
+    return curr_data
+
+
+def post_request(oh_dict: dict):
+    '''
+    Takes in the dictionary of professors and
+    sends the post request.
+
+    Args:
+        oh_dict (dict)
+
+    Return:
+        None
+
+    Ex:
+    >> oh_dict = 
+        {
+            "Smith, John" : 
+            {
+                "Name":     "Smith, John"
+                "Office":   "01-234"
+                "Phone":    "4567"
+                "Email":    "jsmith@"
+                "Monday":   "10:00 - 12:00 PM"
+                "Tuesday":  "",
+                "Wednesday":"10:00 - 12:00 PM"
+                "Thursday:  "",
+                "Friday":   "10:00 - 12:00 PM"}
+       }
+ 
+    >> post_request(oh_dict)
+
+    '''
+
+    # URL for making the post request
+    url = sys.argv[2]
+
+    # Header contents for the post request
+    headers = {
+            "Content-Type":"application/json"
+            }
+
+    # Passes the professor dictionary through the post request
+    x = requests.post(url, headers=headers, data = json.dumps(oh_dict))
+
+
+if __name__ == "__main__":
+    if ((len(sys.argv) != 3) or (sys.argv[1][-3:] != "csv")):
+        print('Usage: python office_hours_post_request.py '\
+                '"/path/to/office_hours.csv" '\
+               '"http://post_request_url.com/new_data/office_hours"')
+
+    else:
+        try:
+            csv_data = process_csv(sys.argv[1])
+            oh_dict = convert_to_dict(csv_data)
+            post_request(oh_dict)
+
+        except Exception as e:
+            raise e

From 5bfa253ef0f30d90103d65646f8433a0c28f3163 Mon Sep 17 00:00:00 2001
From: Chidi Ewenike <chidiewenike@gmail.com>
Date: Wed, 1 Apr 2020 03:59:39 -0700
Subject: [PATCH 168/272] added office_hours_post_request.py which reads in the
 office hours csv, converts the data to a JSON, and makes a post request with
 the JSON. Also updated flask_api.py to take in the office hours JSON post
 request and updates the OfficeHours table

---
 flask_api.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/flask_api.py b/flask_api.py
index 6784eae..a5852ce 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -261,7 +261,8 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     and stores the data to the database
 
     Ex: def process_office_hours(
-                        path_to_csv = "/path/to/office_hours.csv"
+                        current_prof: dict,
+                        db: NimbusMySQLAlchemy
                         )
 
     """

From 0647903dcbe5669278bd056c08ff59f435c2ab5a Mon Sep 17 00:00:00 2001
From: Kalen <ktwmgoo@gmail.com>
Date: Sun, 5 Apr 2020 12:02:32 -1000
Subject: [PATCH 169/272] -Created FeedbackValidator, FeedbackValidatorError,
 FeedbackValidatorIssue -Developed POST route for new feedback

---
 flask_api.py          |  38 +++++++++++++-
 modules/validators.py | 114 +++++++++++++++++++++++++++++++++++++++++-
 2 files changed, 149 insertions(+), 3 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index be328b8..ad9a47e 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -23,6 +23,8 @@
     WakeWordValidatorError,
     PhrasesValidator,
     PhrasesValidatorError,
+    FeedbackValidator,
+    FeedbackValidatorError
 )
 
 from Entity.AudioSampleMetaData import AudioSampleMetaData
@@ -163,6 +165,36 @@ def save_query_phrase():
         return "An error was encountered while saving to database", SERVER_ERROR
 
 
+@app.route("/new_data/feedback", methods=["POST"])
+def save_feedback():
+    validator = FeedbackValidator()
+    data = request.get_json()
+    try:
+        issues = validator.validate(data)
+    except:
+        return (
+            "Please format the query data: {question: String, answer: String, type: String, timestamp: int}",
+            BAD_REQUEST,
+        )
+    if issues:
+        try:
+            data = validator.fix(data, issues)
+        except FeedbackValidatorError as err:
+            print("error:", err)
+            return str(err), BAD_REQUEST
+    return "IT WORKED", SUCCESS
+
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    try:
+        phrase_saved = db.insert_entity(QuestionAnswerPair, data)
+    except (BadDictionaryKeyError, BadDictionaryValueError) as e:
+        return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), SERVER_ERROR
+    except Exception as e:
+        raise e
+
+
 @app.route("/new_data/courses", methods=["POST"])
 def save_courses():
     """
@@ -278,7 +310,8 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(
+        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -323,4 +356,5 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
+            port=gunicorn_config.PORT)
diff --git a/modules/validators.py b/modules/validators.py
index beb540a..3a82631 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -1,6 +1,8 @@
 import time
 import enum
 from abc import ABC
+import datetime
+import re
 
 from werkzeug.exceptions import BadRequestKeyError
 
@@ -202,10 +204,120 @@ def fix(self, data: dict, issues: dict) -> dict:
         question = issues["question"]
         answer = issues["answer"]
         if len(question):
-            err_msg = self.error_messages[question[0]].format(field_name="question")
+            err_msg = self.error_messages[question[0]].format(
+                field_name="question")
             print(f"error message {err_msg}")
             raise PhrasesValidatorError(err_msg)
         if len(answer):
             form["answer"]["format"] = ""
             form["answer"]["variables"] = []
         return form
+
+
+class FeedbackValidatorError(Exception):
+    """Unfixable data corruption in a query phrase object"""
+
+    def __init__(self, message: str):
+        super().__init__(self, message)
+        self.message = message
+
+
+class FeedbackValidatorIssue(enum.Enum):
+    MISSING_QUESTION = 0
+    INVALID_TIMESTAMP = 1
+    INVALID_TYPE = 2
+    MISSING_ANSWER = 3
+
+
+class FeedbackValidator(Validator):
+    """Validates new query phrases passed from the web app"""
+
+    def __init__(self):
+        super().__init__()
+        self.error_messages = {
+            FeedbackValidatorIssue.MISSING_QUESTION: "Please provide a question in the passed data",
+            FeedbackValidatorIssue.INVALID_TIMESTAMP: "Timestamp automatically set to current time",
+            FeedbackValidatorIssue.INVALID_TYPE: "Type not provided. Automatically set to OTHER",
+            FeedbackValidatorIssue.MISSING_ANSWER: "Please provide an answer in the passed data"
+        }
+
+    def validate(self, data: dict) -> dict:
+        """
+        Ensures that:
+        1. Timestamp is valid
+        2. A correct type is assigned
+        3. A question exists
+        4. An answer exists
+
+        Parameters
+        ----------
+        `data : dict` A feedback object {type: String, timestamp: datetime, question: String, answer: String}
+        """
+        issues = []
+        no_content = re.compile("\W")
+        for key, val in data.items():
+            # Timestamp is valid
+            if "timestamp" not in data or type(data["timestamp"]) != int:
+                issues.append(FeedbackValidatorIssue.INVALID_TIMESTAMP)
+
+            # A correct type is assigned
+            if "type" not in data or type(data["type"]) != str or data["type"] not in ["fact", "related", "stats", "other"]:
+                issues.append(FeedbackValidatorIssue.INVALID_TYPE)
+
+            #  A question exists
+            if "question" not in data or type(data["question"]) != str or no_content.match(data["question"]):
+                issues.append(FeedbackValidatorIssue.MISSING_QUESTION)
+
+            # An answer exists
+            if "answer" not in data or type(data["answer"]) != str or no_content.match(data["answer"]):
+                issues.append(FeedbackValidatorIssue.MISSING_ANSWER)
+
+        return issues
+
+    def fix(self, data: dict, issues: dict) -> dict:
+        """
+        Fixes feedback data. 
+        - Critical issues:
+            1. An invalid timestamp is present
+            2. An invalid type is present
+            3. No question or answer is provided
+
+        Parameters
+        ----------
+        - `data : dict` A feedback object {type: String, timestamp: datetime, question: String, answer: String}
+        - `issues: dict` lists of FeedbackValidatorIssues
+
+        Returns
+        -------
+        dict
+            A fixed copy of the data
+
+        Raises
+        ------
+        FeedbackValidatorError
+            when the issue with the feedback data is not fixable.
+
+        """
+
+        form = data.copy()
+
+        for issue in issues:
+            # fixes invalid timestamp (set to current datetime)
+            if(issue == FeedbackValidatorIssue.INVALID_TIMESTAMP):
+                print("Inferred query timestamp on server")
+                form["timestamp"] = datetime.date.now()
+
+            # fixes invalid type (set to OTHER)
+            if(issue == FeedbackValidatorIssue.INVALID_TYPE):
+                print(
+                    f"Changed query type from invalid form to 'other'")
+                form["type"] = "other"
+
+            # raises errors for missing answer or missing questions
+            if(issue == FeedbackValidatorIssue.MISSING_ANSWER):
+                raise FeedbackValidatorError(
+                    self.error_messages[FeedbackValidatorIssue.MISSING_ANSWER])
+            if(issue == FeedbackValidatorIssue.MISSING_QUESTION):
+                raise FeedbackValidatorError(
+                    self.error_messages[FeedbackValidatorIssue.MISSING_QUESTION])
+        return form

From a4fcdf9db16b9f3c7ee2c42ff201e09ba5cc96bc Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 12 Apr 2020 13:42:24 -0700
Subject: [PATCH 170/272] added answerable question query function

---
 database_wrapper.py | 18 ++++++++++++++++--
 1 file changed, 16 insertions(+), 2 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 9a280cc..2c4b8cb 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -13,6 +13,8 @@
 import csv
 from abc import ABC, abstractmethod
 from typing import List, Optional, Union
+import pymysql
+pymysql.install_as_MySQLdb()
 
 
 import sqlalchemy
@@ -176,7 +178,7 @@ class NimbusDatabase(ABC):
     should implement these operations such as `connect`
     """
 
-    def __init__(self, config_file: str = "config.json") -> None:
+    def __init__(self, config_file: str = "config_SAMPLE.json") -> None:
         """
         Inits Nimbus Database using the hostname, username, password
         found inside the config_file.
@@ -333,7 +335,7 @@ class NimbusMySQLAlchemy:  # NimbusMySQLAlchemy(NimbusDatabase):
     """
     """
 
-    def __init__(self, config_file: str = "config.json") -> None:
+    def __init__(self, config_file: str = "config_SAMPLE.json") -> None:
         self.engine = self._create_engine(config_file)
         self.Clubs = Clubs
         self.Sections = Sections
@@ -431,6 +433,18 @@ def get_all_qa_pairs(self):
 
         return result
 
+    def get_all_answerable_pairs(self):
+        qa_entity = QuestionAnswerPair
+
+        query_session = self.session.query(
+            qa_entity.question_format, qa_entity.answer_format, qa_entity.can_we_answer
+        )
+        result = query_session.all()
+        true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
+
+        return true_result
+
+
     def return_qa_pair_csv(self):
         data = self.get_all_qa_pairs()
 

From 24154d880a734190b63590e6b1b11d398bff911d Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 12 Apr 2020 13:56:19 -0700
Subject: [PATCH 171/272] replace csvs in nlp model w api

---
 database_wrapper.py                            |   4 ++--
 .../nlp-model_04_12_2020_13_50_20.pkl          |   1 +
 .../nlp-model_04_12_2020_13_50_38.pkl          | Bin 0 -> 245252 bytes
 .../models/features/overall_features.json      |   2 +-
 nimbus_nlp/question_classifier.py              |  11 ++++++-----
 5 files changed, 10 insertions(+), 8 deletions(-)
 create mode 100644 nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_20.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_38.pkl

diff --git a/database_wrapper.py b/database_wrapper.py
index 2c4b8cb..f7c8c91 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -178,7 +178,7 @@ class NimbusDatabase(ABC):
     should implement these operations such as `connect`
     """
 
-    def __init__(self, config_file: str = "config_SAMPLE.json") -> None:
+    def __init__(self, config_file: str = "config.json") -> None:
         """
         Inits Nimbus Database using the hostname, username, password
         found inside the config_file.
@@ -335,7 +335,7 @@ class NimbusMySQLAlchemy:  # NimbusMySQLAlchemy(NimbusDatabase):
     """
     """
 
-    def __init__(self, config_file: str = "config_SAMPLE.json") -> None:
+    def __init__(self, config_file: str = "config.json") -> None:
         self.engine = self._create_engine(config_file)
         self.Clubs = Clubs
         self.Sections = Sections
diff --git a/nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_20.pkl b/nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_20.pkl
new file mode 100644
index 0000000..a61ccad
--- /dev/null
+++ b/nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_20.pkl
@@ -0,0 +1 @@
+€N.
\ No newline at end of file
diff --git a/nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_38.pkl b/nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_38.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..c03c6d18abee4d7bb02d289ebab4970d34f60c19
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AumAu6

literal 0
HcmV?d00001

diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index 45b5372..540f20e 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1 +1 @@
-{"[COURSE]": 0, "is": 0, "what": 0, "are": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "have": 0, "prereq": 0, "major": 0, "avoid": 0, "section": 0, "time": 0, "next": 0, "quarter": 0, "offered": 0, "how": 0, "many": 0, "offer": 0, "count": 0, "unit": 0, "towards": 0, "when": 0, "typically": 0, "going": 0, "go": 0, "tutuoring": 0, "tutuor": 0, "Is": 0, "information": 0, "currently": 0, "4": 0, "class": 0, "prerequisite": 0, "term": 0, "consent": 0, "instructor": 0, "get": 0, "recommend": 0, "need": 0, "order": 0, "upper": 0, "divisional": 0, "c": 0, "good": 0, "short": 0, "path": 0, "stand": 0, "people": 0, "limit": 0, "total": 0, "credit": 0, "select": 0, "tech": 0, "elective": 0, "structure": 0, "crosslist": 0, "another": 0, "department": 0, "grade": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "include": 0, "group": 0, "work": 0, "project": 0, "base": 0, "build": 0, "similar": 0, "consider": 0, "pass": 0, "fail": 0, "hour": 0, "week": 0, "spent": 0, "much": 0, "spend": 0, "per": 0, "year": 0, "In": 0, "available": 0, "fulfill": 0, "one": 0, "requirement": 0, "use": 0, "anything": 0, "lecture": 0, "COURSE": 0, "make": 0, "lab": 0, "Are": 0, "instead": 0, "alternative": 0, "Have": 0, "something": 0, "else": 0, "substitute": 0, "stat": 0, "-PRON-": 0, "preqs": 0, "statistic": 0, "necessary": 0, "degree": 0, "'s": 0, "soon": 0, "help": 0, "minor": 0, "contribute": 0, "ever": 0, "description": 0, "learn": 0, "usually": 0, "ge": 0, "needed": 0, "classes": 0, "list": 0, "math": 0, "approval": 0, "graduate": 0, "level": 0, "undergraduate": 0, "non": 0, "part": 0, "datum": 0, "science": 0, "teach": 0, "teacher": 0, "taught": 0, "past": 0, "programming": 0, "experience": 0, "taken": 0, "flowchart": 0, "open": 0, "who": 0, "high": 0, "rank": 0, "teaching": 0, "low": 0, "complete": 0, "last": 0, "workshop": 0, "study": 0, "session": 0, "worth": 0, "number": 0, "comes": 0, "come": 0, "teaches": 0, "cs": 0, "se": 0, "basis": 0, "prerequesite": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "professor": 0, "corsslist": 0, "prerequisites": 0, "rat": 0, "polyrat": 0, "that": 0, "schedule": 0, "tutoring": 0, "provided": 0, "provide": 0, "[PROF]": 0, "like": 0, "research": 0, "area": 0, "PROF": 0, "proposal": 0, "write": 0, "cal": 0, "poly": 0, "website": 0, "where": 0, "building": 0, "student": 0, "office": 0, "right": 0, "later": 0, "today": 0, "tomorrow": 0, "email": 0, "average": 0, "polyrating": 0, "review": 0, "recent": 0, "professors": 0, "first": 0, "phone": 0, "rating": 0, "faculty": 0, "advisor": 0, "interest": 0, "interested": 0, "researching": 0, "liked": 0, "well": 0, "has": 0, "url": 0, "different": 0, "school": 0, "attended": 0, "attend": 0, "csse": 0, "program": 0, "long": 0, "start": 0, "was": 0, "working": 0, "still": 0, "been": 0, "Did": 0, "computer": 0, "publish": 0, "paper": 0, "submit": 0, "contributed": 0, "digital": 0, "common": 0, "Has": 0, "written": 0, "advised": 0, "senior": 0, "advise": 0, "whose": 0, "length": 0, "published": 0, "journal": 0, "papers": 0, "contact": 0, "reach": 0, "room": 0, "find": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "shares": 0, "share": 0, "anyone": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "position": 0, "member": 0, "moment": 0, "place": 0, "campus": 0, "professional": 0, "distinction": 0, "bs": 0, "master": 0, "doctorate": 0, "day": 0, "neighbor": 0, "be": 0, "recognize": 0, "difficulty": 0, "present": 0, "material": 0, "clearly": 0, "give": 0, "polylearn": 0, "[MMC]": 0, "mathematic": 0, "support": 0, "option": 0, "approve": 0, "technical": 0, "external": 0, "taking": 0, "gre": 0, "acceptance": 0, "1": 0, "availabe": 0, "satisfy": 0, "pre": 0, "requisite": 0, "obtain": 0, "blended": 0, "ms": 0, "concentration": 0, "life": 0, "optional": 0, "skip": 0, "ap": 0, "ib": 0, "adds": 0, "add": 0, "least": 0, "amount": 0, "graduation": 0, "general": 0, "education": 0, "break": 0, "double": 0, "enrolled": 0, "enrol": 0, "blend": 0, "inquiry": 0, "switch": 0, "minimum": 0, "contain": 0, "free": 0, "gpa": 0, "enroll": 0, "category": 0, "educational": 0, "objective": 0, "outcome": 0, "resource": 0, "advising": 0, "independent": 0, "step": 0, "apply": 0, "application": 0, "declare": 0, "question": 0, "doubt": 0, "would": 0, "sense": 0, "MMC": 0, "allowed": 0, "allow": 0, "accredits": 0, "accredit": 0, "units": 0, "[DEPT]": 0, "crosslisted": 0, "club": 0, "does": 0, "type": 0, "sign": 0, "tutor": 0, "accreditation": 0, "belong": 0, "college": 0, "[CLUB]": 0, "president": 0, "homepage": 0, "box": 0, "social": 0, "medium": 0, "account": 0, "follow": 0, "facebook": 0, "new": 0, "post": 0, "event": 0, "officer": 0, "meeting": 0, "locate": 0, "affiliated": 0, "affiliate": 0, "vice": 0, "secretary": 0, "treasurer": 0, "posted": 0, "30": 0, "joined": 0, "join": 0, "used": 0, "follower": 0, "instagram": 0, "establish": 0, "team": 0, "held": 0, "hold": 0, "link": 0, "do": 0, "location": 0, "online": 0, "describe": 0, "could": 0, "brief": 0, "overview": 0, "chief": 0, "touch": 0, "adviser": 0, "[SECRET_HIDEOUT]": 0, "not related": 0}
\ No newline at end of file
+{"[COURSE]": 0, "are": 0, "what": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "count": 0, "how": 0, "many": 0, "unit": 0, "towards": 0, "offered": 0, "when": 0, "typically": 0, "offer": 0, "is": 0, "quarter": 0, "going": 0, "go": 0, "next": 0, "Is": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "time": 0, "per": 0, "year": 0, "available": 0, "fulfill": 0, "Are": 0, "preqs": 0, "'s": 0, "soon": 0, "description": 0, "learn": 0, "-PRON-": 0, "needed": 0, "much": 0, "credit": 0, "worth": 0, "number": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "list": 0, "lab": 0, "[PROF]": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "researching": 0, "contact": 0, "information": 0, "reach": 0, "where": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "cal": 0, "poly": 0, "building": 0, "[CLUB]": 0, "club": 0, "box": 0, "affiliated": 0, "college": 0, "affiliate": 0, "president": 0, "advisor": 0, "do": 0, "who": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "taught": 0, "teach": 0, "[SECRET_HIDEOUT]": 0, "whose": 0, "In": 0, "does": 0, "event": 0, "week": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 1890bcf..e70645b 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -8,6 +8,9 @@
 import json
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 import json
+from database_wrapper import NimbusMySQLAlchemy
+db = NimbusMySQLAlchemy()
+
 
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
@@ -27,10 +30,6 @@ def __init__(self):
     def train_model(self):
         self.save_model = save_model
 
-
-        # REPLACE WITH API EVENTUALLY
-        self.file_path = "question_set_clean.csv"
-
         # The possible WH word tags returned through NLTK part of speech tagging
 
 
@@ -142,7 +141,9 @@ def build_question_classifier(self):
         """
 
         # READ QUESTIONS
-        questions = pd.read_csv('question_set_clean.csv')
+        question_list = db.get_all_answerable_pairs()
+        question_list = [q[0] for q in question_list]
+        questions = pd.DataFrame(question_list, columns = ['questionFormat'])
         questions['features'] = questions['questionFormat'].apply(self.get_question_features)
         # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
 

From 9eab5dec1c49fd37b0b2304c1a5e67529c44f417 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 12 Apr 2020 13:57:03 -0700
Subject: [PATCH 172/272] clean up

---
 database_wrapper.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index f7c8c91..39bed24 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -13,8 +13,6 @@
 import csv
 from abc import ABC, abstractmethod
 from typing import List, Optional, Union
-import pymysql
-pymysql.install_as_MySQLdb()
 
 
 import sqlalchemy

From c121ab79e3b1a3fa4e0c26ed58c893f2a681418b Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 12 Apr 2020 14:24:59 -0700
Subject: [PATCH 173/272] Feedback pipeline completed

Co-authored-by: Kalen Goo <kgoo@calpoly.edu>
Co-authored-by: Mason McElvain <mcelvain4599@gmail.com>
---
 Entity/QueryFeedback.py | 28 +++++++++++++++
 database_wrapper.py     | 35 ++++++++++++++++++
 flask_api.py            | 17 +++++----
 modules/validators.py   | 78 ++++++++++++++++++++++++++---------------
 4 files changed, 122 insertions(+), 36 deletions(-)
 create mode 100644 Entity/QueryFeedback.py

diff --git a/Entity/QueryFeedback.py b/Entity/QueryFeedback.py
new file mode 100644
index 0000000..845e629
--- /dev/null
+++ b/Entity/QueryFeedback.py
@@ -0,0 +1,28 @@
+from sqlalchemy import Column, DateTime, Text, Enum, Integer
+from sqlalchemy.ext.declarative import declarative_base
+import enum
+from Entity.QuestionAnswerPair import AnswerType
+
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class QueryFeedback(Base):
+    __tablename__ = "QueryFeedback"
+    id = Column(Integer, primary_key=True)
+    question = Column(Text)
+    answer = Column(Text)
+    answer_type = Column(Enum(AnswerType))
+    timestamp = Column(DateTime)
+
+    def __repr__(self):
+        """
+        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
+        """
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"  # noqa
diff --git a/database_wrapper.py b/database_wrapper.py
index 9a280cc..091ef7e 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -25,6 +25,7 @@
 from Entity.Courses import Courses
 from Entity.Locations import Locations
 from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
+from Entity.QueryFeedback import QueryFeedback
 from Entity.Professors import Professors, ProfessorsProperties
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
@@ -99,6 +100,7 @@
         "question_format",
         "answer_format",
     ],
+    QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
 }
 
 
@@ -543,6 +545,7 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         format_method_by_entity = {
             AudioSampleMetaData: self.format_audio_sample_meta_data_dict,
             QuestionAnswerPair: self.format_query_phrase_dict,
+            QueryFeedback: self.format_query_feedback_dict,
         }
 
         # Format data (if needed), and validate data
@@ -778,3 +781,35 @@ def format_query_phrase_dict(self, phrases: dict) -> dict:
 
     def __del__(self):
         print("NimbusMySQLAlchemy closed")
+
+    def format_query_feedback_dict(self, feedback: dict) -> dict:
+        """
+            Formats query feedback to be saved to the server.
+            
+            Parameters
+            ----------
+            `feedback : dict` A query feedback:
+            - {question: String, answer: String, type: String, timestamp: Datetime}
+
+            Raises
+            ------
+            BadDictionaryValueError
+
+            Returns
+            -------
+            dict
+                formatted for the server
+            """
+        answer_string_to_type = {
+            "fact": AnswerType.fact,
+            "related": AnswerType.related,
+            "stats": AnswerType.statistics,
+            "other": AnswerType.other,
+        }
+
+        return {
+            "question": feedback["question"],
+            "answer": feedback["answer"],
+            "answer_type": answer_string_to_type[feedback["type"]],
+            "timestamp": feedback["timestamp"],
+        }
diff --git a/flask_api.py b/flask_api.py
index ad9a47e..26f7205 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -24,11 +24,12 @@
     PhrasesValidator,
     PhrasesValidatorError,
     FeedbackValidator,
-    FeedbackValidatorError
+    FeedbackValidatorError,
 )
 
 from Entity.AudioSampleMetaData import AudioSampleMetaData
 from Entity.QuestionAnswerPair import QuestionAnswerPair
+from Entity.QueryFeedback import QueryFeedback
 
 from nimbus import Nimbus
 
@@ -182,11 +183,10 @@ def save_feedback():
         except FeedbackValidatorError as err:
             print("error:", err)
             return str(err), BAD_REQUEST
-    return "IT WORKED", SUCCESS
 
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     try:
-        phrase_saved = db.insert_entity(QuestionAnswerPair, data)
+        feedback_saved = db.insert_entity(QueryFeedback, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
         return str(e), BAD_REQUEST
     except NimbusDatabaseError as e:
@@ -194,6 +194,11 @@ def save_feedback():
     except Exception as e:
         raise e
 
+    if feedback_saved:
+        return "Feedback has been saved", SUCCESS
+    else:
+        return "An error was encountered while saving to database", SERVER_ERROR
+
 
 @app.route("/new_data/courses", methods=["POST"])
 def save_courses():
@@ -310,8 +315,7 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(
-        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -356,5 +360,4 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT)
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
diff --git a/modules/validators.py b/modules/validators.py
index 3a82631..b4ffbca 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -204,8 +204,7 @@ def fix(self, data: dict, issues: dict) -> dict:
         question = issues["question"]
         answer = issues["answer"]
         if len(question):
-            err_msg = self.error_messages[question[0]].format(
-                field_name="question")
+            err_msg = self.error_messages[question[0]].format(field_name="question")
             print(f"error message {err_msg}")
             raise PhrasesValidatorError(err_msg)
         if len(answer):
@@ -227,6 +226,7 @@ class FeedbackValidatorIssue(enum.Enum):
     INVALID_TIMESTAMP = 1
     INVALID_TYPE = 2
     MISSING_ANSWER = 3
+    CONVERT_UNIX_TO_DATETIME = 4
 
 
 class FeedbackValidator(Validator):
@@ -237,15 +237,16 @@ def __init__(self):
         self.error_messages = {
             FeedbackValidatorIssue.MISSING_QUESTION: "Please provide a question in the passed data",
             FeedbackValidatorIssue.INVALID_TIMESTAMP: "Timestamp automatically set to current time",
+            FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME: "",
             FeedbackValidatorIssue.INVALID_TYPE: "Type not provided. Automatically set to OTHER",
-            FeedbackValidatorIssue.MISSING_ANSWER: "Please provide an answer in the passed data"
+            FeedbackValidatorIssue.MISSING_ANSWER: "Please provide an answer in the passed data",
         }
 
     def validate(self, data: dict) -> dict:
         """
         Ensures that:
         1. Timestamp is valid
-        2. A correct type is assigned
+        2. A correct answer type is assigned
         3. A question exists
         4. An answer exists
 
@@ -255,22 +256,36 @@ def validate(self, data: dict) -> dict:
         """
         issues = []
         no_content = re.compile("\W")
-        for key, val in data.items():
-            # Timestamp is valid
-            if "timestamp" not in data or type(data["timestamp"]) != int:
-                issues.append(FeedbackValidatorIssue.INVALID_TIMESTAMP)
-
-            # A correct type is assigned
-            if "type" not in data or type(data["type"]) != str or data["type"] not in ["fact", "related", "stats", "other"]:
-                issues.append(FeedbackValidatorIssue.INVALID_TYPE)
-
-            #  A question exists
-            if "question" not in data or type(data["question"]) != str or no_content.match(data["question"]):
-                issues.append(FeedbackValidatorIssue.MISSING_QUESTION)
-
-            # An answer exists
-            if "answer" not in data or type(data["answer"]) != str or no_content.match(data["answer"]):
-                issues.append(FeedbackValidatorIssue.MISSING_ANSWER)
+        # Timestamp is valid
+        if "timestamp" not in data or type(data["timestamp"]) != int:
+            issues.append(FeedbackValidatorIssue.INVALID_TIMESTAMP)
+
+        elif "timestamp" in data and type(data["timestamp"]) == int:
+            issues.append(FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME)
+
+        # A correct type is assigned
+        if (
+            "type" not in data
+            or type(data["type"]) != str
+            or data["type"] not in ["fact", "related", "stats", "other"]
+        ):
+            issues.append(FeedbackValidatorIssue.INVALID_TYPE)
+
+        #  A question exists
+        if (
+            "question" not in data
+            or type(data["question"]) != str
+            or no_content.match(data["question"])
+        ):
+            issues.append(FeedbackValidatorIssue.MISSING_QUESTION)
+
+        # An answer exists
+        if (
+            "answer" not in data
+            or type(data["answer"]) != str
+            or no_content.match(data["answer"])
+        ):
+            issues.append(FeedbackValidatorIssue.MISSING_ANSWER)
 
         return issues
 
@@ -303,21 +318,26 @@ def fix(self, data: dict, issues: dict) -> dict:
 
         for issue in issues:
             # fixes invalid timestamp (set to current datetime)
-            if(issue == FeedbackValidatorIssue.INVALID_TIMESTAMP):
+            if issue == FeedbackValidatorIssue.INVALID_TIMESTAMP:
                 print("Inferred query timestamp on server")
-                form["timestamp"] = datetime.date.now()
+                form["timestamp"] = datetime.datetime.now()
+
+            # converts a valid unix timestamp to a Python Datetime object
+            if issue == FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME:
+                form["timestamp"] = datetime.datetime.fromtimestamp(form["timestamp"])
 
             # fixes invalid type (set to OTHER)
-            if(issue == FeedbackValidatorIssue.INVALID_TYPE):
-                print(
-                    f"Changed query type from invalid form to 'other'")
+            if issue == FeedbackValidatorIssue.INVALID_TYPE:
+                print(f"Changed query type from invalid form to 'other'")
                 form["type"] = "other"
 
             # raises errors for missing answer or missing questions
-            if(issue == FeedbackValidatorIssue.MISSING_ANSWER):
+            if issue == FeedbackValidatorIssue.MISSING_ANSWER:
                 raise FeedbackValidatorError(
-                    self.error_messages[FeedbackValidatorIssue.MISSING_ANSWER])
-            if(issue == FeedbackValidatorIssue.MISSING_QUESTION):
+                    self.error_messages[FeedbackValidatorIssue.MISSING_ANSWER]
+                )
+            if issue == FeedbackValidatorIssue.MISSING_QUESTION:
                 raise FeedbackValidatorError(
-                    self.error_messages[FeedbackValidatorIssue.MISSING_QUESTION])
+                    self.error_messages[FeedbackValidatorIssue.MISSING_QUESTION]
+                )
         return form

From 10e8aa772a4b2d19dd7cf7356a12e1c35a35be9b Mon Sep 17 00:00:00 2001
From: austin <austinsilveria@gmail.com>
Date: Sun, 19 Apr 2020 12:54:13 -0700
Subject: [PATCH 174/272] Fix scraper APIs

---
 database_wrapper.py | 17 +++++++++++++++++
 flask_api.py        | 20 ++++++++++++--------
 2 files changed, 29 insertions(+), 8 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 9a280cc..5c0ea13 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -77,6 +77,23 @@
         "advisor",
         "affiliation",
     ],
+    Calendars: [
+        'date',
+        'day',
+        'month',
+        'year',
+        'raw_events_text',
+    ],
+    Courses: [
+            'dept',
+            'courseNum',
+            'courseName',
+            'units',
+            'raw_prerequisites_text',
+            'raw_concurrent_text',
+            'raw_recommended_text',
+            'termsOffered',
+    ],
     Locations: ["building_number", "name", "longitude", "latitude"],
     Sections: [
         "section_name",
diff --git a/flask_api.py b/flask_api.py
index 7c9c4e9..574afb5 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -11,6 +11,10 @@
 from pydrive.drive import GoogleDrive
 
 import gunicorn_config
+from Entity.Calendars import Calendars
+from Entity.Clubs import Clubs
+from Entity.Courses import Courses
+from Entity.Locations import Locations
 from database_wrapper import (
     BadDictionaryKeyError,
     BadDictionaryValueError,
@@ -193,11 +197,11 @@ def save_courses():
     """
     Persists list of courses
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for course in data["courses"]:
         try:
-            db.save_course(course)
+            db.update_entity(Courses, course, ['dept', 'courseNum'])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -218,11 +222,11 @@ def save_clubs():
     """
     Persists list of clubs
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for club in data["clubs"]:
         try:
-            db.save_club(club)
+            db.update_entity(Clubs, club, ['club_name'])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -243,11 +247,11 @@ def save_locations():
     """
     Persists list of locations
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for location in data["locations"]:
         try:
-            db.save_location(location)
+            db.update_entity(Locations, location, ['longitude', 'latitude'])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -268,11 +272,11 @@ def save_calendars():
     """
     Persists list of calendars
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for calendar in data["calendars"]:
         try:
-            db.save_calendar(calendar)
+            db.update_entity(Calendars, calendar, ['date', 'raw_events_text'])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:

From 3d7a0a511cf503801acd80f1ac90661c12120764 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 19 Apr 2020 13:26:05 -0700
Subject: [PATCH 175/272] Made feedback issues mutually exlusive in fix loop

---
 modules/validators.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/validators.py b/modules/validators.py
index b4ffbca..896a5d0 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -323,20 +323,20 @@ def fix(self, data: dict, issues: dict) -> dict:
                 form["timestamp"] = datetime.datetime.now()
 
             # converts a valid unix timestamp to a Python Datetime object
-            if issue == FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME:
+            elif issue == FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME:
                 form["timestamp"] = datetime.datetime.fromtimestamp(form["timestamp"])
 
             # fixes invalid type (set to OTHER)
-            if issue == FeedbackValidatorIssue.INVALID_TYPE:
+            elif issue == FeedbackValidatorIssue.INVALID_TYPE:
                 print(f"Changed query type from invalid form to 'other'")
                 form["type"] = "other"
 
             # raises errors for missing answer or missing questions
-            if issue == FeedbackValidatorIssue.MISSING_ANSWER:
+            elif issue == FeedbackValidatorIssue.MISSING_ANSWER:
                 raise FeedbackValidatorError(
                     self.error_messages[FeedbackValidatorIssue.MISSING_ANSWER]
                 )
-            if issue == FeedbackValidatorIssue.MISSING_QUESTION:
+            elif issue == FeedbackValidatorIssue.MISSING_QUESTION:
                 raise FeedbackValidatorError(
                     self.error_messages[FeedbackValidatorIssue.MISSING_QUESTION]
                 )

From e16ab03b19866dec91366c577f2ec939754f9d08 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Tue, 21 Apr 2020 13:24:46 -0700
Subject: [PATCH 176/272] fixed comment and trained latest model

---
 .../nlp-model_04_19_2020_16_41_15.pkl         | Bin 0 -> 3579755 bytes
 .../nlp-model_04_21_2020_13_19_51.pkl         | Bin 0 -> 273809 bytes
 .../nlp-model_04_21_2020_13_20_23.pkl         | Bin 0 -> 273809 bytes
 .../nlp-model_04_21_2020_13_23_34.pkl         | Bin 0 -> 273809 bytes
 .../models/features/overall_features.json     |   2 +-
 nimbus_nlp/question_classifier.py             |   6 +++---
 6 files changed, 4 insertions(+), 4 deletions(-)
 create mode 100644 nimbus_nlp/models/classification/nlp-model_04_19_2020_16_41_15.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_04_21_2020_13_19_51.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_04_21_2020_13_20_23.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_04_21_2020_13_23_34.pkl

diff --git a/nimbus_nlp/models/classification/nlp-model_04_19_2020_16_41_15.pkl b/nimbus_nlp/models/classification/nlp-model_04_19_2020_16_41_15.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..8cd514a8fd21b0275243d3a3e0caad604192c072
GIT binary patch
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zYaZ(fp=Vt|<HHUZG%v;8%>(l)hV|>UUtU6<@eoJaRp3XR$2u^o9sK(3SM3nj3*pae
z-D@6k)OGmtT37AEj^Q_K9PIN#4}Wg|z4m#{!ygcK7y~g6^qR+dLg-mn(D<+es(A(M
ztD6V>U?0Y+U#~IjRfN6tI~Nc3YFx}?KM?aOVqHZ)JFH`$I`*5#I#Av3H^x4oYLEG_
z2tPpVSI1uSUUsktqHlf}*51!wR_j^k4c^uIkcWz}$Go}^>*{>cW5fYQ^`F)LpmBoQ
zsrBma2lDaC1M9$ucJ6(S{Xr4D0<jNcAm)Ky^H`6I;3Mw{9#DrmR(X_mZa=XO47eZR
zT=d%S8puCXJH%7x)qSd+x~`7lPo0lDMjmnfsQckJY~I-Ch46=U8Q1N<S00MJYUX|q
zQy0{Dety*bUSmH$a^0;9_CT+^unvSB5c5E<{FHe&5BR}4#_;Edum{4Af^Iy_tM(WJ
z)wq~fQMJR^&kpOVJ;p%Q4)ZFic79{O{pxzqG2#NjcT$Kvg8B<<AJi||X=T9GGtL=M
z%?k7CIlw&ZF@_ybUH7t6=dlk6f3Q>Mu?~bC#z5?gimD%V?B!R@M;*hDI<Jml2lR?p
zwE3*-1@9`4$U{ZgV_w~db#*@en0;Zy{<>Aavc8M|!>fw(zxMDj|0isN-kzS-J=AIS
z2g5y^-Qj3s#~KZ~?cr+AI(D%2<SP3cKf?p#_I7vEYW8mD+nc?%waUJDl6`5NefiG4
zGIjj3-M<z82<-3H+24zQ1h#UL{R968VEge;Ei3FFN9>>6e=znHVf)YP>|bo#`pPNx
zud~))9kG9Foo4^uS{t$dXf?#Y#N3cIZ5*`*!*0LF{<9(eVdr&wZn%EWjqJb1tv&w_
D55y7c

literal 0
HcmV?d00001

diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index 540f20e..680aa08 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1 +1 @@
-{"[COURSE]": 0, "are": 0, "what": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "count": 0, "how": 0, "many": 0, "unit": 0, "towards": 0, "offered": 0, "when": 0, "typically": 0, "offer": 0, "is": 0, "quarter": 0, "going": 0, "go": 0, "next": 0, "Is": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "time": 0, "per": 0, "year": 0, "available": 0, "fulfill": 0, "Are": 0, "preqs": 0, "'s": 0, "soon": 0, "description": 0, "learn": 0, "-PRON-": 0, "needed": 0, "much": 0, "credit": 0, "worth": 0, "number": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "list": 0, "lab": 0, "[PROF]": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "researching": 0, "contact": 0, "information": 0, "reach": 0, "where": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "cal": 0, "poly": 0, "building": 0, "[CLUB]": 0, "club": 0, "box": 0, "affiliated": 0, "college": 0, "affiliate": 0, "president": 0, "advisor": 0, "do": 0, "who": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "taught": 0, "teach": 0, "[SECRET_HIDEOUT]": 0, "whose": 0, "In": 0, "does": 0, "event": 0, "week": 0, "not related": 0}
\ No newline at end of file
+{"[COURSE]": 0, "are": 0, "what": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "count": 0, "how": 0, "many": 0, "unit": 0, "towards": 0, "offered": 0, "when": 0, "typically": 0, "offer": 0, "is": 0, "quarter": 0, "going": 0, "go": 0, "next": 0, "Is": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "time": 0, "per": 0, "year": 0, "available": 0, "fulfill": 0, "Are": 0, "preqs": 0, "'s": 0, "soon": 0, "description": 0, "learn": 0, "-PRON-": 0, "needed": 0, "much": 0, "credit": 0, "worth": 0, "number": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "list": 0, "lab": 0, "[PROF]": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "researching": 0, "contact": 0, "information": 0, "reach": 0, "where": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "cal": 0, "poly": 0, "building": 0, "[CLUB]": 0, "club": 0, "box": 0, "affiliated": 0, "college": 0, "affiliate": 0, "president": 0, "advisor": 0, "do": 0, "who": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "taught": 0, "teach": 0, "[SECRET_HIDEOUT]": 0, "whose": 0, "In": 0, "does": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "having": 0, "skype": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index e70645b..208d80a 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -8,8 +8,7 @@
 import json
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 import json
-from database_wrapper import NimbusMySQLAlchemy
-db = NimbusMySQLAlchemy()
+from QA import db
 
 
 
@@ -142,6 +141,7 @@ def build_question_classifier(self):
 
         # READ QUESTIONS
         question_list = db.get_all_answerable_pairs()
+        #print(question_list)
         question_list = [q[0] for q in question_list]
         questions = pd.DataFrame(question_list, columns = ['questionFormat'])
         questions['features'] = questions['questionFormat'].apply(self.get_question_features)
@@ -279,7 +279,7 @@ def main():
     # print(classifier.get_question_features("This is a normal sentence."))
     # print(classifier.get_question_features("[COURSE] is taught by who?"))
     # print(classifier.get_question_features("How do I register for classes?"))
-    #classifier.train_model()
+    classifier.train_model()
     classifier.load_latest_classifier()
     print(classifier.classify_question("Which [PROF] teaches [COURSE]?"))
 

From 5d4bfadb5522acc07fb1fe9b996697b27c6a6d05 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Thu, 23 Apr 2020 19:37:32 -0700
Subject: [PATCH 177/272] performance, dependency removal, multivariable
 questions

---
 .gitignore                                    |   1 +
 Entity/OfficeHours.py                         |  26 +-
 Entity/ProfessorSectionView.py                |  46 +++
 Entity/Profs.py                               |  28 ++
 QA.py                                         | 267 ++++++++-------
 database_wrapper.py                           |  22 +-
 flask_api.py                                  |   6 +-
 nimbus.py                                     |  58 +++-
 nimbus_nlp/question_classifier.py             | 317 +++++-------------
 .../{NIMBUS_NLP.py => variable_extractor.py}  | 157 +++------
 q_a_pairs.csv                                 | 136 --------
 11 files changed, 428 insertions(+), 636 deletions(-)
 create mode 100644 Entity/ProfessorSectionView.py
 create mode 100644 Entity/Profs.py
 rename nimbus_nlp/{NIMBUS_NLP.py => variable_extractor.py} (50%)
 delete mode 100644 q_a_pairs.csv

diff --git a/.gitignore b/.gitignore
index 9532684..cd940ac 100644
--- a/.gitignore
+++ b/.gitignore
@@ -121,3 +121,4 @@ settings.yaml
 .export_env_vars
 auth.json
 settings.yml
+nimbus_api.iml
\ No newline at end of file
diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
index 8263bff..91d2bb0 100644
--- a/Entity/OfficeHours.py
+++ b/Entity/OfficeHours.py
@@ -7,22 +7,26 @@
 class OfficeHours(Base):
     __tablename__ = "OfficeHours"
 
-    id = Column(Integer, primary_key=True) 
-    name = Column(Text)
-    office = Column(Text)
-    email = Column(Text)
-    monday = Column(Text)
-    tuesday = Column(Text)
-    wednesday = Column(Text)
-    thursday = Column(Text)
-    friday = Column(Text)
+    id = Column(Integer, primary_key=True)
+    Name = Column(Text)
+    Office = Column(Text)
+    Email = Column(Text)
+    Monday = Column(Text)
+    Tuesday = Column(Text)
+    Wednesday = Column(Text)
+    Thursday = Column(Text)
+    Friday = Column(Text)
+    OfficeHours = Column(Text)
+    Phone = Column(Text)
+    Platform = Column(Text)
+    LatestQuarter = Column(Text)
 
     def __repr__(self):
         return "<Office Hours (Name={}, Office={}, Email={}, Monday={}, Tuesday={}, Wednesday={}, Thursday={}, Friday={})>".format(
-            self.name, self.office, self.email, self.monday, self.tuesday, self.wednesday, self.thursday, self.friday)
+            self.Name, self.Office, self.Email, self.Monday, self.Tuesday, self.Wednesday, self.Thursday, self.Friday)
 
 if __name__ == "__main__":
-    
+
     oh = OfficeHours()
 
     print(oh)
diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
new file mode 100644
index 0000000..701a05e
--- /dev/null
+++ b/Entity/ProfessorSectionView.py
@@ -0,0 +1,46 @@
+from sqlalchemy import Column, Integer, String, Enum, Text
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.dialects.mysql import SET
+import enum
+
+Base = declarative_base()
+
+
+class SectionType(enum.Enum):
+    activity = Act = 0
+    seminar = Sem = 1
+    independent = Ind = 2
+    lab = 3
+    lecture = Lec = 4
+
+
+class ProfessorSectionView(Base):
+    __tablename__ = "Professor_Teaches_Section"
+    id = Column(Integer, primary_key=True)
+    id_sections = Column(Integer)
+    profAliasId = Column(Integer)
+    section_name = Column(String(255))
+    instructor = Column(String(255))
+    profEmailAlias = Column(String(255))
+    title = Column(String(255))
+    phone = Column(String(255))
+    office = Column(String(255))
+    type = Column(Enum(SectionType))
+    days = Column(SET('M', 'T', 'W', 'R', 'F'))
+    start = Column(String(255))
+    end = Column(String(255))
+    location = Column(String(255))
+    department = Column(String(255))
+    firstName = Column(String(50))
+    lastName = Column(String(50))
+    phoneNumber = Column(String(20))
+    researchInterests = Column(Text)
+    email = Column(String(255))
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/Profs.py b/Entity/Profs.py
new file mode 100644
index 0000000..9d0d34a
--- /dev/null
+++ b/Entity/Profs.py
@@ -0,0 +1,28 @@
+from sqlalchemy import Column, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class Profs(Base):
+    __tablename__ = "Profs"
+    firstName = Column(String(50), primary_key=True)
+    lastName = Column(String(50))
+    phoneNumber = Column(String(20))
+    researchInterests = Column(Text)
+    email = Column(String(255))
+    OfficeHours = Column(Text)
+    Platform = Column(Text)
+    LatestQuarter = Column(Text)
+    Office = Column(Text)
+    department = Column(String(255))
+    title = Column(String(255))
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
\ No newline at end of file
diff --git a/QA.py b/QA.py
index 250b065..5062e64 100644
--- a/QA.py
+++ b/QA.py
@@ -1,13 +1,13 @@
-from typing import Callable, Dict, Any
+from typing import Callable, Dict, Any, List, Tuple
 import functools
 import re
 from Entity.Courses import Courses
 from Entity.Locations import Locations
-from Entity.Professors import Professors
+from Entity.Profs import Profs
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections
 from database_wrapper import NimbusMySQLAlchemy
-from pandas import read_csv
+import itertools
 
 Extracted_Vars = Dict[str, Any]
 DB_Data = Dict[str, Any]
@@ -16,24 +16,20 @@
 
 
 tag_lookup = {
-    'PROF': Professors,
+    'PROF': Profs,
     'CLUB': Clubs,
     'COURSE': Courses,
     'SECRET_HIDEOUT': Locations,
     'SECTION': Sections
 }
 
-# TODO: Initialize this somewhere else. Currently here because of _get_property()
-# Move into the Nimbus class below if possible.
-db = NimbusMySQLAlchemy()
-
 
 class QA:
     """
     A class for wrapping functions used to answer a question.
     """
 
-    def __init__(self, q_format, db_query, format_answer):
+    def __init__(self, q_format, db_query, format_answer, db):
         """
         Args:
             q_format (str): Question format string
@@ -41,23 +37,19 @@ def __init__(self, q_format, db_query, format_answer):
             db_query (DB_Query): Function used to get data from database. Takes
                 a dict of extracted variables and returns a dict of variables
                 from the database.
-            format_function (Answer_Formatter): Function used to format answer
+            format_answer (Answer_Formatter): Function used to format answer
                 string. Takes two dicts--one of extracted variables and one of
                 data retrieved from the database--and returns a str.
         """
+        self.db = db
         self.q_format = q_format
         self.db_query = db_query
         self.format_answer = format_answer
 
-    def _get_data_from_db(self, extracted_vars):
-        return self.db_query(extracted_vars)
-
-    def _format_answer(self, extracted_vars, db_data):
-        return self.format_answer(extracted_vars, db_data)
-
     def answer(self, extracted_vars):
-        db_data = self._get_data_from_db(extracted_vars)
-        return self._format_answer(extracted_vars, db_data)
+        db_data = self.db_query(extracted_vars, self.db)
+        answer = self.format_answer(extracted_vars, db_data)
+        return answer
 
     def __repr__(self):
         return self.q_format
@@ -77,141 +69,172 @@ def create_qa_mapping(qa_list):
     return {qa.q_format: qa for qa in qa_list}
 
 
-# def _string_sub(a_format, extracted_vars, db_data):
-#     """
-#     Substitutes values in a string based off the contents of the extracted_vars
-#     and db_data dictionaries. Keys from the dictionaries in the a_format string
-#     will be replaced with their associated value.
-#
-#     Example input/output:
-#         a_format: "{professor1_ex}'s office is {office1_db}."
-#         extracted_vars: {"professor1": "Dr. Khosmood"}
-#         db_data: {"office1": "14-213"}
-#
-#         "Dr. Khosmood's office is 14-213"
-#
-#     Args:
-#         a_format (str): String to be formatted. Variables to be substituted should
-#             be in curly braces and end in "_ex" for keys from extracted_vars and "_db"
-#             for keys from db_data.
-#         extracted_vars (Extracted_Vars)
-#         db_data (Db_Data)
-#
-#     Returns:
-#         A formatted answer string
-#     """
-#     # Adds "_ex" to the end of keys in extracted_vars
-#     extracted_vars = {
-#         k + "_ex": v for k, v in extracted_vars.items()
-#     }
-#     # Adds "_db" to the end of keys in db_data
-#     db_data = {
-#         k + "_db": v for k, v in db_data.items()
-#     }
-#     return a_format.format(**extracted_vars, **db_data)
-#
-#
-# def _single_var_string_sub(a_format, extracted_vars, db_data):
-#     """
-#     Like _string_sub for cases where there's max one item in either dict
-#
-#     Example input/output:
-#         a_format: "{ex}'s office is {db}."
-#         extracted_vars: {"professor1": "Dr. Khosmood"}
-#         db_data: {"office1": "14-213"}
-#
-#         "Dr. Khosmood's office is 14-213"
-#
-#     Args:
-#         a_format (str): String to be formatted. {ex} will be substituted with
-#             the value from extracted_vars and {db} will be substituted with the
-#             value from db_data
-#         extracted_vars (Extracted_Vars)
-#         db_data (Db_Data)
-#
-#     Returns:
-#         A formatted answer string
-#     """
-#     # Gets value from a dictionary with a single item
-#     ex_val = next(iter(extracted_vars.values())) if extracted_vars else ''
-#     db_val = next(iter(db_data.values())) if db_data else ''
-#     return a_format.format(ex=ex_val, db=db_val)
-#
-#
-# def string_sub(a_format):
-#     return functools.partial(_string_sub, a_format)
-#
-#
-# def single_var_string_sub(a_format):
-#     return functools.partial(_single_var_string_sub, a_format)
-
-
 def _string_sub(a_format, extracted_info, db_data):
-    if db_data is None:
+    if None in db_data.values():
         return None
     else:
-        return a_format.format(ex=extracted_info['normalized entity'], db=db_data)
+        return a_format.format(ex=extracted_info['normalized entity'], **db_data)
 
 
 def string_sub(a_format):
     return functools.partial(_string_sub, a_format)
 
 
-def _get_property(prop, extracted_info):
+def _get_property(prop: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlchemy):
     ent_string = extracted_info["normalized entity"]
     ent = tag_lookup[extracted_info['tag']]
     try:
         value = db.get_property_from_entity(prop=prop, entity=ent, identifier=ent_string)
     except IndexError:
-        return None
+        return {f"db_{prop}": None}
     else:
-        return value
+        return {f"db_{prop}": value}
 
 
-def get_property(prop):
+def get_property(prop: str):
     return functools.partial(_get_property, prop)
 
 
-def _yes_no(a_format, pred, extracted_info, db_data):
-    if pred is None:
-        result = 'Yes' if db_data else 'No'
-    elif type(pred) == str:
-        result = 'Yes' if re.search(pred, db_data) else 'No'
+def _generic_answer_formatter(a_format: str, pred: Any, extracted_info: Extracted_Vars, db_data: DB_Data):
+
+    if type(pred) == str:
+        t_f = re.search(pred, db_data)
+    elif callable(pred):
+        t_f = pred(db_data)
+    else:
+        t_f = bool(db_data)
+
+    y_n = 'Yes' if t_f else 'No'
+    _not = '' if t_f else 'not'
+    not_not = 'not' if t_f else ''
+
+    return a_format.format(
+        y_n=y_n, yes_no=y_n,
+        _not=_not,
+        not_not=not_not,
+        t_f=t_f,
+        db=db_data,
+        ex=extracted_info
+    )
+
+
+def generic_answer_formatter(a_format: str, pred: Any = None):
+    return functools.partial(_generic_answer_formatter, a_format, pred)
+
+
+def _grammatical_join(substrings: list, last_two_join: str = 'and'):
+    if len(substrings) == 0:
+        return ''
+    elif len(substrings) == 1:
+        return substrings[0]
+    elif len(substrings) == 2:
+        return f"{substrings[0]} {last_two_join} {substrings[1]}"
     else:
-        result = 'Yes' if pred(db_data) else 'No'
-    return a_format.format(y_n=result, yes_no=result, ex=extracted_info['normalized entity'])
+        substrings.append(f"{last_two_join} {substrings.pop()}")
+        return ", ".join(substrings)
+
+
+def format_prof_office_hours(extracted_vars: Extracted_Vars, db_data: DB_Data):
+    prof = extracted_vars["PROF"]["normalized entity"]
+    days = db_data["PROF"]["OfficeHours"]
+    return _format_prof_office_hours(prof, days)
+
+
+def _format_prof_office_hours(prof: str, days: str):
+    hours = lambda x: x[1]
+
+    week = []
+    for token in days.split(', '):
+        try:
+            d, h = token.split(' ', 1)
+        except ValueError:
+            continue
+        week.append((d, h))
+
+    if not week:
+        return f'{prof} currently has no office hours'
+
+    week.sort(key=hours)
+    groups = []
+    keys = []
+    for key, group in itertools.groupby(week, hours):
+        groups.append(list(group))
+        keys.append(key)
+
+    if keys[0] == "on leave":
+        return f'{prof} is currently on leave'
+
+    substrings = []
+    for g in groups:
+        ds = [d for d, _ in g]
+        k = hours(g[0]).replace('-', 'to')
+        substrings.append(f"{_grammatical_join(ds)} {k}")
+
+    return f"{prof} has office hours {_grammatical_join(substrings)}"
+
+
+def _chain_db_access(fns: List[DB_Query], extracted_vars: Extracted_Vars, db: NimbusMySQLAlchemy) -> DB_Data:
+    """
+    Combines behavior of a list of database access functions
+
+    Args:
+        fns: List of database access functions to run
+        extracted_vars: Dictionary of extracted information to run fns against
+
+    Returns:
+        A dictionary of database data
+    """
+    db_data = dict()
+    for fn in fns:
+        for key, val in fn(extracted_vars, db).items():
+            index = 1
+            while key in db_data:
+                key = f"{key}{index}"
+                index += 1
+            db_data[key] = val
+    return db_data
 
 
-def yes_no(a_format, pred=None):
-    return functools.partial(_yes_no, a_format, pred)
+# Actually returns partial[Dict[str, Any]]
+def chain_db_access(fns: List[DB_Query]) -> DB_Query:
+    return functools.partial(_chain_db_access, fns)
 
 
-def generate_fact_QA(csv):
-    df = read_csv(csv)
+def generate_qa_pairs(qa_pairs: Tuple[str, str], db: NimbusMySQLAlchemy):
     text_in_brackets = r'\[[^\[\]]*\]'
     qa_objs = []
-    for i in range(len(df)):
-        q = df['question_format'][i]
-        a = df['answer_format'][i]
+    for pair in qa_pairs:
+        q = pair[0]
+        a = pair[1]
+        db_access_fns = []
+        # Find all bracketed tokens ([PROF], [COURSE..units], etc)
         matches = re.findall(text_in_brackets, a)
-        extracted = None
-        if len(matches) == 1:
-            db_data = matches[0]
-        elif '..' in matches[1]:
-            db_data = matches[1]
-            extracted = matches[0]
+        ents = []
+        for match in matches:
+            # If match is a property
+            if ".." in match:
+                ent, prop = match[1:-1].split("..", 1)
+                db_access_fns.append(get_property(prop))
+                # "db" prefix is used to disambiguate database and entity data
+                # in _string_sub and _generic_answer_formatter. See above.
+                a = a.replace(match, "{db_" + prop + "}")
+            # If match is an entity
+            else:
+                ents.append(match)
+        if len(ents) == 1:
+            a = a.replace(ents[0], "{ex}")
         else:
-            db_data = matches[0]
-            extracted = matches[1]
-        prop = db_data.split('..', 1)[1][0:-1]
-        a = a.replace(db_data, '{db}')
-        if extracted is not None:
-            a = a.replace(extracted, '{ex}')
+            for ent in ents:
+                # "ex" prefix is added for the same reason as above.
+                # Not necessary for current _string_sub function, but useful
+                # for when we extract multiple variables
+                a = a.replace(ent, "{ex_" + ent[1:-1] + "}")
         o = QA(
             q_format=q,
-            db_query=get_property(prop),
-            format_answer=string_sub(a)
+            db_query=chain_db_access(db_access_fns),
+            format_answer=string_sub(a),
+            db=db
         )
         qa_objs.append(o)
 
-    return qa_objs
+    return qa_objs
\ No newline at end of file
diff --git a/database_wrapper.py b/database_wrapper.py
index 091ef7e..967a846 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -26,9 +26,10 @@
 from Entity.Locations import Locations
 from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
 from Entity.QueryFeedback import QueryFeedback
-from Entity.Professors import Professors, ProfessorsProperties
+from Entity.Professors import ProfessorsProperties
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
+from Entity.Profs import Profs
 
 from fuzzywuzzy import fuzz
 
@@ -40,7 +41,7 @@
 RESET_COLOR_CODE = "\033[00m"
 
 UNION_ENTITIES = Union[
-    AudioSampleMetaData, Calendars, Courses, Professors, QuestionAnswerPair
+    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
@@ -48,7 +49,7 @@
     Calendars: {"date"},
     Courses: {"courseName", "courseNum", "dept"},
     Locations: {"building_number", "name"},
-    Professors: {"firstName", "lastName"},
+    Profs: {"firstName", "lastName"},
     Clubs: {"club_name"},
     Sections: {"section_name"},
 }
@@ -341,7 +342,7 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.Sections = Sections
         self.Calendars = Calendars
         self.Courses = Courses
-        self.Professors = Professors
+        self.Profs = Profs
         self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
         self.QuestionAnswerPair = QuestionAnswerPair
@@ -413,7 +414,7 @@ def __safe_create(SQLAlchemy_object):
         __safe_create(self.Sections)
         __safe_create(self.Calendars)
         __safe_create(self.Courses)
-        __safe_create(self.Professors)
+        __safe_create(self.Profs)
         __safe_create(self.AudioSampleMetaData)
         __safe_create(self.Locations)
         __safe_create(self.QuestionAnswerPair)
@@ -813,3 +814,14 @@ def format_query_feedback_dict(self, feedback: dict) -> dict:
             "answer_type": answer_string_to_type[feedback["type"]],
             "timestamp": feedback["timestamp"],
         }
+
+    def get_all_answerable_pairs(self):
+        qa_entity = QuestionAnswerPair
+
+        query_session = self.session.query(
+            qa_entity.question_format, qa_entity.answer_format, qa_entity.can_we_answer
+        )
+        result = query_session.all()
+        true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
+
+        return true_result
diff --git a/flask_api.py b/flask_api.py
index cb0ee70..6604d32 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -3,7 +3,6 @@
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
-import json
 
 from flask import Flask, jsonify, request
 from flask_cors import CORS
@@ -42,8 +41,9 @@
 app = Flask(__name__)
 CORS(app)
 
-# TODO: Initialize this somewhere else.
-nimbus = Nimbus()
+# TODO: Initialize these somewhere else
+db = NimbusMySQLAlchemy()
+nimbus = Nimbus(db)
 
 
 @app.route("/", methods=["GET", "POST"])
diff --git a/nimbus.py b/nimbus.py
index 7d6bdfc..2344577 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -6,34 +6,74 @@
 # Update the counter above if you work on this issue.
 #
 from werkzeug.exceptions import BadRequestKeyError
-from QA import create_qa_mapping, generate_fact_QA
-from nimbus_nlp.NIMBUS_NLP import NIMBUS_NLP
+from QA import create_qa_mapping, generate_qa_pairs
+from nimbus_nlp.question_classifier import QuestionClassifier
+from nimbus_nlp.variable_extractor import VariableExtractor
+from database_wrapper import NimbusMySQLAlchemy
 
 
 class Nimbus:
 
-    def __init__(self):
+    def __init__(self, db: NimbusMySQLAlchemy):
+        self.db = db
+        qa_pairs = db.get_all_answerable_pairs()
         self.qa_dict = create_qa_mapping(
-            generate_fact_QA("q_a_pairs.csv")
+            generate_qa_pairs(qa_pairs, db)
         )
+        # Instantiate variable extractor and question classifier
+        self.variable_extractor = VariableExtractor()
+        self.classifier = QuestionClassifier()
+        # Load classifier model
+        self.classifier.load_latest_classifier()
 
     def answer_question(self, question):
-        ans_dict = NIMBUS_NLP.predict_question(question)
+        ans_dict = self.predict_question(question)
         print(ans_dict)
         try:
             qa = self.qa_dict[ans_dict["question class"]]
         except KeyError:
+            # Printed if question isn't found. This occurs because the training set is broader
+            # than the answerable question set.
             return "I'm sorry, I don't understand. Please try another question."
         else:
             answer = qa.answer(ans_dict)
             if answer is None:
+                # Printed when a database query was made and a null value was returned.
+                # Should be handled in the QA class in the future.
                 return("I'm sorry, I understand your question but was unable to find an answer. "
                        "Please try another question.")
             else:
                 return answer
 
+    def predict_question(self, question):
+        """
+        Runs through variable extraction and the question classifier to
+        predict the intended question.
+        Args: input_question (string) - user input question to answer
+        Return: nlp_props (dict) - contains the user"s input question,
+                                   the variable extracted input question,
+                                   the entity extracted, and the predicted
+                                   answer
+        """
+
+        # Get dictionary of extracted variables + info from question
+        nlp_props = self.variable_extractor.extract_variables(question)
+
+        # Add classified question to nlp_props dictionary
+        nlp_props["question class"] = self.classifier. \
+            classify_question(nlp_props["normalized question"])
+
+        return nlp_props
+
+
 if __name__ == "__main__":
-    nimbus = Nimbus()
-    while True:
-        question = input("Enter a question: ")
-        print(nimbus.answer_question(question))
+    ve = VariableExtractor()
+    db = NimbusMySQLAlchemy()
+    qa_pairs = db.get_all_answerable_pairs()
+    qa_dict = create_qa_mapping(
+        generate_qa_pairs(qa_pairs, db)
+    )
+    extracted = ve.extract_variables("How do I zoom Dr. Khosmood?")
+    print(
+        qa_dict["How do I zoom [PROF]?"].answer(extracted)
+    )
\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 1890bcf..8be1b77 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -1,287 +1,132 @@
-import re
-import nltk
 import spacy
 import numpy as np
 import sklearn.neighbors
-import pandas as pd
-import sys
-import json
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 import json
+from typing import Tuple
 
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
 
-
 class QuestionClassifier:
 
-    def __init__(self):
-        nltk.download('stopwords')
-        nltk.download('punkt')
-        nltk.download('averaged_perceptron_tagger')
+    def __init__(self, file_path="question_set_clean.csv"):
         self.classifier = None
-        self.nlp = spacy.load('en_core_web_sm')
+
+        # Disable named entity recognition for speed
+        self.nlp = spacy.load('en_core_web_sm', disable=["ner"])
         self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
         self.overall_features = {}
 
-    def train_model(self):
-        self.save_model = save_model
-
-
-        # REPLACE WITH API EVENTUALLY
-        self.file_path = "question_set_clean.csv"
-
-        # The possible WH word tags returned through NLTK part of speech tagging
-
-
-        self.classifier = self.build_question_classifier()
-        save_model(self.classifier, "nlp-model")
-
-
-    def load_latest_classifier(self):
-        self.classifier = load_latest_model()
-        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'r') as fp:
-            self.overall_features = json.load(fp)
-
-    def get_question_features(self, question):
-        # print("using new algorithm")
-        """
-        Method to extract features from each individual question.
-        """
-        features = {}
-
-        # Extract the main verb from the question before additional processing
-        main_verb = str(self.extract_main_verb(question))
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-
-        filtered_words = self.get_lemmas(words)
-
-        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
-        stemmed_main_verb = self.nlp(main_verb)[0]
-        features[stemmed_main_verb.text] = 60
-
-        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
-        # WITH WEIGHT 60
-        words_pos = nltk.pos_tag(filtered_words)
-        for word_pos in words_pos:
-            if self.is_wh_word(word_pos[1]):
-                features[word_pos[0]] = 60
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
-            if word not in features:
-                features[word] = 30
-
-        return features
-
-    def get_question_features_old_algorithm(self, question):
-        print("using old algorithm....")
-        """
-            Method to extract features from each individual question.
-            """
-        features = {}
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-        filtered_words = self.get_lemmas(words)
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        features[filtered_words[0]] = 60
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            features[word] = 30
-
-        return features
-
-    # EXTRACTS THE MAIN VERB FROM A QUESTION USING THE DEPENDENCY TREE
-    # THE MAIN VERB OF THE QUESTION SHOULD BE THE ROOT OF THE TREE
-    # Note: this method of extracting the main verb is not perfect, but
-    # for single sentence questions that should have no ambiguity about the main verb,
-    # it should be sufficient.
-    def extract_main_verb(self, question):
-        doc = self.nlp(question)
-        sents = list(doc.sents)
-        if len(sents) == 0:
-            raise ValueError("Empty question")
-
-        return sents[0].root
-
-    def get_lemmas(self, words):
-        return [self.nlp(word)[0].lemma_ for word in words]
-
-    def is_wh_word(self, pos):
-        return pos in self.WH_WORDS
-
-    def build_question_classifier(self):
+    # Added question pairs as a parameter to remove database_wrapper as a dependency
+    # Including database_wrapper introduces circular dependencies
+    def build_question_classifier(self, question_pairs: Tuple[str, str]):
         """
         Build overall feature set for each question based on feature vectors of individual questions.
         Train KNN classification model with overall feature set.
         """
-
-        # READ QUESTIONS
-        questions = pd.read_csv('question_set_clean.csv')
-        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
-        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
-
-        question_features = questions['features'].values.tolist()
-
-        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
+        questions = [q[0] for q in question_pairs]
+        question_features = [self.get_question_features(self.nlp(q)) for q in questions]
         for feature in question_features:
             for key in feature:
-                if key not in self.overall_features:
-                    self.overall_features[key] = 0
+                self.overall_features[key] = 0
         self.overall_features["not related"] = 0
 
-
         vectors = []
         for feature in question_features:
-            vector = dict.fromkeys(self.overall_features, 0)
-            for key in feature:
-                vector[key] = feature[key]
-            vectors.append(np.array(list(vector.values())))
+            vector_gen = [feature[k] if k in feature else 0
+                          for k in self.overall_features]
+            vectors.append(np.array(vector_gen))
 
-        y_train = questions['questionFormat']
         vectors = np.array(vectors)
-        y_train = np.array(y_train)
+        y_train = np.array(questions)
         new_classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
         new_classifier.fit(vectors, y_train)
 
-        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'w') as fp:
+        with open(PROJECT_DIR + '/models/features/overall_features.json', 'w') as fp:
             json.dump(self.overall_features, fp)
 
         return new_classifier
 
-    def filterWHTags(self, question):
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
+    def train_model(self):
+        self.classifier = self.build_question_classifier()
+        self.save_model(self.classifier, "nlp-model")
 
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+    def load_latest_classifier(self):
+        self.classifier = load_latest_model()
+        with open(PROJECT_DIR + '/models/features/overall_features.json', 'r') as fp:
+            self.overall_features = json.load(fp)
 
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
+    def is_wh_word(self, token):
+        return token.tag_ in self.WH_WORDS
 
-        filtered_words = self.get_lemmas(words)
+    def filter_wh_tags(self, spacy_doc):
+        return [t.text for t in spacy_doc if self.is_wh_word(t)]
 
-        question_tags = nltk.pos_tag(filtered_words)
-        question_tags = [
-            tag for tag in question_tags if self.is_wh_word(tag[1])]
-        return question_tags
+    def validate_wh(self, s1, s2):
+        # only parses as a spacy doc if necessary
+        doc1 = s1 if type(s1) == spacy.tokens.doc.Doc else self.nlp(s1)
+        doc2 = s2 if type(s2) == spacy.tokens.doc.Doc else self.nlp(s2)
+        return self.filter_wh_tags(doc1) == self.filter_wh_tags(doc2)
 
-    def validate_WH(self, test_question, predicted_question):
-        """
-        Assumes that only 1 WH word exists
-        Returns True if the WH word in the test question equals the
-        WH word in the predicted question
-        """
+    def get_question_features(self, spacy_doc):
+        features = dict()
 
-        test_tags = self.filterWHTags(test_question)
-        predicted_tags = self.filterWHTags(predicted_question)
+        for token in spacy_doc:
 
-        # Uncomment these lines below to see
-        # print("Test")
-        # print(test_tags)
-        # print()
+            # Filters stop words, punctuation, and symbols
+            if token.is_stop or not (token.is_digit or token.is_alpha):
+                continue
 
-        # print("Predicted")
-        # print(predicted_tags)
-        # print()
+            # Add [VARIABLES] with weight 90.
+            # token.i returns the index of the token, and token.nbor(n) return the token
+            # n places away. Only the left neighbor is tested for brevity.
+            elif token.i != 0 and token.nbor(-1).text == '[':
+                features[token.text] = 90
 
-        # Compares all WH words in the tags array and returns False if one doesn't match
-        min_tag_len = min(len(test_tags), len(predicted_tags))
-        wh_match = True
-        i = 0
-        while (wh_match and i < min_tag_len):
-            wh_match = wh_match and (test_tags[i][0] == predicted_tags[i][0])
-            i += 1
-        return wh_match
+            # Add WH words with weight 60
+            elif self.is_wh_word(token):
+                # .lemma_ is already lowercase; no .lower() needed
+                features[token.lemma_] = 60
 
-    def classify_question(self, test_question):
-        """
-        Match a user query with a question in the database based on the classifier we trained and overall features we calculated.
-        Return relevant question.
-        """
+            # Add all other words with weight 30
+            else:
+                features[token.lemma_] = 30
+
+        # Replace the stemmed main verb with weight 60
+        sent = next(spacy_doc.sents)
+        stemmed_main_verb = sent.root.lemma_
+        features[stemmed_main_verb] = 60
+
+        return features
+
+    def classify_question(self, question):
         if self.classifier is None:
-            raise ValueError("Classifier not initialized")
-
-        #if self.use_new:
-        test_features = self.get_question_features(test_question)
-        #else:
-        #    test_features = self.get_question_features_old_algorithm(
-        #        test_question)
-        test_vector = dict.fromkeys(self.overall_features, 0)
-        for key in test_features:
-            if key in test_vector:
-                test_vector[key] = test_features[key]
-            #else:
-                # IF A WORD IS NOT IN THE EXISTING FEATURE SET, IT MAY BE A QUESTION WE CANNOT ANSWER.
-            #    test_vector["not related"] += 250
-        test_vector = np.array(list(test_vector.values()))
-        test_vector = test_vector.reshape(1, -1)
-        min_dist = np.min(self.classifier.kneighbors(test_vector, n_neighbors=1)[0])
+            raise ValueError("Classifier is not initialized")
+
+        # Create the spacy doc. Handles pos tagging, stop word removal, tokenization,
+        # lemmatization, etc
+        doc = self.nlp(question)
+        test_features = self.get_question_features(doc)
+
+        array_gen = [test_features[k] if k in test_features else 0
+                     for k in self.overall_features]
+        test_array = np.array(array_gen)
+
+        # Flatten array into a vector
+        test_vector = test_array.reshape(1, -1)
+
+        min_dist = np.min(self.classifier.kneighbors(test_vector, n_neighbors=1))
+
         if min_dist > 150:
             return "I don't think that's a Statistics related question! Try asking something about the STAT curriculum."
 
-        predicted_question = self.classifier.predict(test_vector)[0]
-
-        wh_words_match = self.validate_WH(test_question, predicted_question)
-        # Uncomment to print whether the WH words match
-        # print("WH Words Match?:", wh_words_match)
+        # Cast to string because the classifier returns a numpy.str_, which causes issues
+        # with the validate_wh function below.
+        predicted_question = str(self.classifier.predict(test_vector)[0])
+        wh_words_match = self.validate_wh(doc, predicted_question)
 
-        if (not wh_words_match):
+        if not wh_words_match:
             return "WH Words Don't Match"
 
-        return predicted_question
-
-
-def main():
-    # use_new = False
-    # print(sys.argv)
-    # if len(sys.argv) > 1 and sys.argv[1] == 'new':
-    #     use_new = True
-    classifier = QuestionClassifier()
-    # print(classifier.get_question_features(
-    #     "What are Foaad Khosmood's office hours?"))
-    # print(classifier.get_question_features(
-    #     "Does Foaad Khosmood have office hours?"))
-    # print(classifier.get_question_features("Who teaches CSC 480"))
-    # print(classifier.get_question_features("CSC 480 is taught by who?"))
-    # print(classifier.get_question_features("Khosmood teaches CSC 480?"))
-    # print(classifier.get_question_features(
-    #     "Whose office hours are between 1 and 2 pm?"))
-    # print(classifier.get_question_features("Where is Franz Kurfess' office?"))
-    # print(classifier.get_question_features("This is a normal sentence."))
-    # print(classifier.get_question_features("[COURSE] is taught by who?"))
-    # print(classifier.get_question_features("How do I register for classes?"))
-    #classifier.train_model()
-    classifier.load_latest_classifier()
-    print(classifier.classify_question("Which [PROF] teaches [COURSE]?"))
-
-
-if __name__ == "__main__":
-    main()
+        return predicted_question
\ No newline at end of file
diff --git a/nimbus_nlp/NIMBUS_NLP.py b/nimbus_nlp/variable_extractor.py
similarity index 50%
rename from nimbus_nlp/NIMBUS_NLP.py
rename to nimbus_nlp/variable_extractor.py
index d525d8f..7bc148c 100644
--- a/nimbus_nlp/NIMBUS_NLP.py
+++ b/nimbus_nlp/variable_extractor.py
@@ -1,59 +1,10 @@
-
-import nltk
-import numpy as np
-import os
-import pandas as pd
-import re
-import sklearn.neighbors
-import spacy
-import sys
-
-from google.api_core.client_options import ClientOptions
-from google.cloud import automl_v1
-from google.cloud.automl_v1.proto import service_pb2
 import os
 import json
 from google.api_core.client_options import ClientOptions
 from google.cloud import automl_v1
 
-# Temporary import for the classifier
-from nimbus_nlp.question_classifier import QuestionClassifier
-
-class NIMBUS_NLP:
-
-    @staticmethod
-    def predict_question(input_question):
-        '''
-        Runs through variable extraction and the question classifier to
-        predict the intended question.
-
-        Args: input_question (string) - user input question to answer
-
-        Return: nlp_props (dict) - contains the user's input question,
-                                   the variable extracted input question,
-                                   the entity extracted, and the predicted
-                                   answer
 
-        '''
-
-        # Instantiate the variable extraction class
-        variable_extraction = Variable_Extraction()
-
-        # Obtain the properties from variable extraction
-        nlp_props = variable_extraction.extract_variables(input_question)
-
-        # Instantiate the question classifier class
-        classifier = QuestionClassifier()
-        classifier.load_latest_classifier()
-        
-        # Classify the question and add it to the nlp properties dictionary 
-        nlp_props["question class"] = classifier.\
-                classify_question(nlp_props["normalized question"])
-        
-        return nlp_props
-    
-
-class Variable_Extraction:
+class VariableExtractor:
 
     def __init__(self, config_file: str = "config.json"):
 
@@ -68,41 +19,37 @@ def __init__(self, config_file: str = "config.json"):
 
         credential_path = os.getcwd() + "/auth.json"
         # TODO: consider does this even do anything useful?
-        os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
-
-    def inline_text_payload(self, sent):
-        '''
-        Converts the input sentence into GCP's callable format
+        os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = credential_path
 
+    @staticmethod
+    def inline_text_payload(sent):
+        """
+        Converts the input sentence into GCP"s callable format
         Args: sent (string) - input sentence
-
         Return: (dict) - GCP NER input format
+        """
 
-        '''
-
-        return {'text_snippet': {'content': sent, 'mime_type': 'text/plain'} }
+        return {"text_snippet": {"content": sent, "mime_type": "text/plain"} }
 
     def get_prediction(self, sent):
-        '''
+        """
         Obtains the prediction from the input sentence and returns the
         normalized sentence
-
         Args: sent (string) - input sentence
-
         Return: request (PredictObject) - predictiton output
-        ''' 
-        
+        """
+
         params = {}
-        
-        # Setup API 
-        options = ClientOptions(api_endpoint='automl.googleapis.com')
-        
+
+        # Setup API
+        options = ClientOptions(api_endpoint="automl.googleapis.com")
+
         # Create prediction object
         predictor = automl_v1.PredictionServiceClient(client_options=options)
 
         # Format input sentence
         payload = self.inline_text_payload(sent)
-        
+
         # Make prediction API call
         request = predictor.predict(self.model_name, payload, params)
 
@@ -110,71 +57,63 @@ def get_prediction(self, sent):
         return request
 
     def extract_variables(self, sent):
-        '''
+        """
         Takes the prediction and replaces the entity with its corresponding tag
-
         Args: sent (string) - input sentence
-
-        Return: (dict) -    "entity" - extracted entity 
-                            "tag" - tag of the extracted entity 
+        Return: (dict) -    "entity" - extracted entity
+                            "tag" - tag of the extracted entity
                             "normalized entity" - stripped entity
                             "input question" - input question from the user
                             "normalized question" - variable-replaced question
-        '''
+        """
 
         # Make the prediction
         request = self.get_prediction(sent)
 
         # Obtain the entity in the sentence
-        entity = request.payload[0].text_extraction.text_segment.content 
-        
-        # Obtain the predicted tag 
+        entity = request.payload[0].text_extraction.text_segment.content
+
+        # Obtain the predicted tag
         tag = request.payload[0].display_name
 
         # Removes excessive words from the entity
-        normalized_entity = Variable_Extraction.excess_word_removal(entity, tag)
+        normalized_entity = VariableExtractor.excess_word_removal(entity, tag)
 
         # Replaces the entity of input question with its corresponding tag
-        normalized_question = sent.replace(entity, '[' + tag + ']')
-        
+        normalized_question = sent.replace(entity, "[" + tag + "]")
+
         return {
-                    "entity"                : entity,
-                    "tag"                   : tag,
-                    "normalized entity"     : normalized_entity,
-                    "input question"        : sent,
-                    "normalized question"   : normalized_question
-               }
-
-    @staticmethod    
+            "entity"                : entity,
+            "tag"                   : tag,
+            "normalized entity"     : normalized_entity,
+            "input question"        : sent,
+            "normalized question"   : normalized_question
+        }
+
+    @staticmethod
     def excess_word_removal(entity, tag):
-        '''
+        """
         Checks the tag and determines which excess word removal function to use
-
         Args: entity (string) - extracted entity from the input question
-
         Return: (string) - returns the normalized entity string
+        """
 
-        '''
-
-        if (tag == 'PROF'):
-            return Variable_Extraction.strip_titles(entity)
+        if tag == "PROF":
+            return VariableExtractor.strip_titles(entity)
 
         else:
             return entity
 
     @staticmethod
     def strip_titles(entity):
-        '''
+        """
         Strips titles from input entities
-
         Args: entity (string) - extracted entity from the input question
-
         Return: norm_entity (string) - the normalized, title-stripped entity
-
-        '''
+        """
 
         # list of titles for removal
-        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.",\
+        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.", \
                   "mr.", "ms.", "mrs", "mr", "ms", "mister"}
 
         # tokenizes the entity
@@ -185,16 +124,6 @@ def strip_titles(entity):
             if name.lower() in titles:
                 return entity.replace(name + " ", "")
 
-        # returns the original entity string 
+        # returns the original entity string
         # if there is no title in the word
-        return entity
-
-#TODO: Add the Question_Classifier code directly into this file
-class Question_Classifier:
-    pass
-
-if __name__ == '__main__':
-    while True:
-        question = input("Enter a question: ")
-        answer = NIMBUS_NLP.predict_question(question)
-        print(answer)
+        return entity
\ No newline at end of file
diff --git a/q_a_pairs.csv b/q_a_pairs.csv
deleted file mode 100644
index 4b2cb8f..0000000
--- a/q_a_pairs.csv
+++ /dev/null
@@ -1,136 +0,0 @@
-answer_format,question_format
-[COURSE..desc].,What is [COURSE] about?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Which courses are required to be taken before [COURSE]?
-[COURSE] counts for [COURSE..units].,How many units does [COURSE] count towards?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] typically offered?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,During what quarters is [COURSE] typically offered?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] going to be offered next quarter?
-[COURSE] is [COURSE..units] units.,Is [COURSE] a 4 unit class?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,What terms is [COURSE] typically offered?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Which terms is [COURSE] offered?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I have to take before [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I have to take before [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the recommended prerequisites for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the recommended prerequisites for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What classes do I need in order to take [COURSE]?
-[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
-[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
- [COURSE..desc].,What is [COURSE] about?
-[COURSE..desc].,What is [COURSE] about?
-[COURSE..desc].,What topics are covered in [COURSE]?
-[COURSE..desc].,What topics are covered in [COURSE]?
-The title for [COURSE] is [COURSE..courseName].,What is the course title for [COURSE]?
-The title for [COURSE] is [COURSE..courseName].,What is [COURSE] also called?
-The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
-The title for [COURSE] is [COURSE..courseNum].,What is the course code for [COURSE]?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,How many times is [COURSE] offered per year?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] offered?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] available?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When can I take [COURSE]?
-[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
-[COURSE] is [COURSE..units] units.,How many units does [COURSE] have?
-[COURSE] is [COURSE..units] units.,How many units does [COURSE] fulfill?
-[COURSE] fulfills [COURSE..ge_areas],What does [COURSE] fulfill?
-[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill anything?
-[COURSE] fulfills [COURSE..ge_areas],What requirements does [COURSE] fulfill?
-[COURSE] fulfills [COURSE..ge_areas],How many lectures does [COURSE] have?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any prerequisites?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,How many prerequisites does [COURSE] have?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Are there any prerequisites for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What courses do you need to take before taking [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any preqs?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered this quarter?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Can I take [COURSE] this quarter?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When's the next time I can take [COURSE]?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered soon?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When has [COURSE] been offered?
-[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
-The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
-The title for [COURSE] is [COURSE..courseName].,What class is [COURSE]?
-[COURSE] is about [COURSE..description].,What is the description of [COURSE]?
-[COURSE] is about [COURSE..description].,What do you learn in [COURSE]?
-[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill any GE requirements?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,How many prerequisite classes are needed for me to take [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] require any MATH classes?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Is [COURSE] being offered next quarter?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have non-statistics prerequisites?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have non-statistics and non-math prerequisites?
-[COURSE..desc].,What is [COURSE]?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] typically offered?
-[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
-[COURSE] is about [COURSE..desc].,What class is [COURSE]?
-[COURSE] is about [COURSE..desc].,What will I learn in [COURSE]?
-[COURSE] is about [COURSE..desc].,What class is [COURSE]?
-The title for [COURSE] is [COURSE..courseName].,What is the name of [COURSE]?
-[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What are the prerequisites for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,What courses are needed to take [COURSE]?
-[COURSE] is [COURSE..units] units.,How many units is [COURSE]?
-[COURSE] is [COURSE..units] units.,How much credits is [COURSE] worth?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,When is [COURSE] offered?
-The number for [COURSE] is [COURSE..number],What is the number for [COURSE]?
-[COURSE] is about [COURSE..information].,What is the description for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have any non CS/SE prerequisites?
-The corequisites for [COURSE] are [COURSE..raw_concurrent_text],Does [COURSE] have any corequisites?
-The corequisites for [COURSE] are [COURSE..raw_concurrent_text],Does [COURSE] have any concurrent enrollements?
-The number for [COURSE] is [COURSE..number],How is [COURSE] listed?
-[COURSE] is offered during the [COURSE..terms_offered] quarter(s).,Which quarter is [COURSE] typically offered?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] have a prerequisite from another department?
-The number for [COURSE] is [COURSE..number],What course number does [COURSE] have?
-[COURSE..number] is [COURSE],What course name does [COURSE] have?
-[COURSE..raw_recommended_text] are recommended for [COURSE],Are there any recommended classes for [COURSE]?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Does [COURSE] require consent of instructor?
-The prerequisites for [COURSE] are: [COURSE..raw_prerequisites_text].,Which departments does [COURSE] have prerequisites in?
-[COURSE] fulfills [COURSE..ge_areas],Does [COURSE] fulfill any GE requirements?
-[PROF] has expertise in [PROF..research_interests].,What are [PROF]'s research areas?
-[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
-[PROF]'s email is [PROF..email].,What is [PROF]'s email?
-[PROF]'s email is [PROF..email].,How can I email [PROF]?
-[PROF]'s email is [PROF..email].,What is the email of [PROF]?
-[PROF]'s email is [PROF..email].,Is [PROF]'s email listed?
-[PROF]'s first name is [PROF..first_name],What is professor [PROF]'s first name?
-[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
-[PROF]'s phone number is [PROF..phoneNumber].,What is the phone number for [PROF]?
-[PROF]'s phone number is [PROF..phoneNumber].,Does [PROF] have a phone number listed?
-[PROF]'s phone number is [PROF..phoneNumber].,Is there a phone number listed for [PROF]?
-[PROF] has expertise in [PROF..research_interests].,What are the research interests of [PROF]?
-[PROF] has expertise in [PROF..research_interests].,What research areas are [PROF] interested in?
-[PROF] has expertise in [PROF..research_interests].,What is [PROF] researching?
-[PROF]'s email is [PROF..email].,What is [PROF]'s email?
-[PROF]'s email is [PROF..email].,How can I contact [PROF]?
-[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s contact information?
-[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
-[PROF]'s phone number is [PROF..phoneNumber].,What number do I call to reach [PROF]?
-[PROF]'s phone number is [PROF..phoneNumber].,How can I reach [PROF]?
-[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
-[PROF]'s office is [PROF..office].,In what room is [PROF]'s office?
-[PROF]'s email is [PROF..email].,What is the email address of [PROF]?
-[PROF]'s office is [PROF..office].,What is the office of [PROF]?
-[PROF]'s office is [PROF..office].,When can I visit [PROF]'s office?
-[PROF]'s email is [PROF..email].,What is the email of [PROF]?
-[PROF]'s phone number is [PROF..phoneNumber].,What is [PROF]'s phone number?
-[PROF]'s phone number is [PROF..phoneNumber].,What is the phone number of [PROF]?
-[PROF]'s office is [PROF..office].,Where is [PROF]'s office?
-[PROF]'s office is [PROF..office].,What building is [PROF]'s office in?
-[PROF] has expertise in [PROF..researchInterests].,Does [PROF] have any areas of research?
-[CLUB] is a [CLUB..types] club.,What type of club is the [CLUB] club?
-[CLUB..desc].,What is the [CLUB] club?
-[CLUB]'s box number is [CLUB..box],What is the box number of the [CLUB] club?
-[CLUB] can contacted by emailing [CLUB..contact_email],What is the email for the [CLUB] club?
-[CLUB] is affiliated with [CLUB..affiliation],What college is affiliated with the [CLUB] club?
-[CLUB] can be contacted at [CLUB..contact_email],How can I contact [CLUB]?
-[CLUB]'s person of contact is [CLUB..contact_person].,What is the phone number of the President of the [CLUB] club?
-The phone number of [CLUB..advisor] is [CLUB..advisor_phone],What is the phone number of the Advisor of the [CLUB] club?
-[CLUB]'s contact information is [CLUB..contact_email].,How do I learn more about [CLUB]?
-[CLUB..desc].,What does [CLUB] do?
-[CLUB]'s person of contact is [CLUB..contact_person].,Who should I contact for [CLUB]?
-[CLUB]'s person of contact is [CLUB..contact_person].,Is there a contact for [CLUB]?
-[CLUB..desc].,Can you describe the [CLUB]?
-[CLUB..desc].,Could you give me a brief overview of [CLUB]?
-[CLUB]'s advisor is [CLUB..advisor].,Who is the chief contact for [CLUB]?
-[CLUB]'s person of contact is [CLUB..contact_person].,Who should I get in touch with for [CLUB]?
-[CLUB]'s contact information is [CLUB..contact_email].,What is the general contact information for [CLUB]?
-[CLUB]'s advisor is [CLUB..advisor].,Who is the club adviser for [CLUB]?
\ No newline at end of file

From 8142fb9b765139d0001cfae1d9fc5deee6303509 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Thu, 23 Apr 2020 19:47:22 -0700
Subject: [PATCH 178/272] formatting

---
 Entity/AudioSampleMetaData.py     | 18 +++++--
 Entity/Calendars.py               | 10 ++--
 Entity/Corequisites.py            |  1 -
 Entity/Corrections.py             | 11 ++--
 Entity/Courses.py                 |  8 +--
 Entity/Locations.py               |  8 +--
 Entity/OfficeHours.py             | 12 ++++-
 Entity/PolyRatings.py             |  1 -
 Entity/Prerequisites.py           |  1 -
 Entity/ProfessorSectionView.py    |  2 +-
 Entity/Profs.py                   |  2 +-
 Entity/Sections.py                |  2 +-
 QA.py                             | 57 +++++++++++---------
 create_all_tables.py              |  2 +-
 db_wrapper.py                     | 36 ++++++-------
 demo.py                           |  2 +-
 download_nltk_stuff.py            |  5 +-
 flask_api.py                      | 88 ++++++++++++++++---------------
 nimbus.py                         | 24 ++++-----
 nimbus_nlp/question_classifier.py | 24 +++++----
 nimbus_nlp/save_and_load_model.py | 15 +++---
 nimbus_nlp/variable_extractor.py  | 36 +++++++++----
 office_hours_post_request.py      | 79 +++++++++++++--------------
 sqlalchemy_demo.py                | 32 ++++++-----
 tasks.py                          |  3 +-
 tests/hypothesis_example.py       |  7 ++-
 tests/test_database_wrapper.py    | 52 +++++++++++++-----
 utilities/cases.py                | 16 +++---
 28 files changed, 317 insertions(+), 237 deletions(-)

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
index 9e1bb4d..c5b0343 100644
--- a/Entity/AudioSampleMetaData.py
+++ b/Entity/AudioSampleMetaData.py
@@ -13,7 +13,7 @@ class NoiseLevel(enum.Enum):
 
 
 class AudioSampleMetaData(Base):
-    __tablename__ = 'AudioSampleMetaData'
+    __tablename__ = "AudioSampleMetaData"
     id = Column(Integer, primary_key=True)
     # SQLAlchemy resolves Boolean to TINYINT within MYSQL
     is_wake_word = Column(Boolean)
@@ -33,7 +33,15 @@ def __repr__(self):
         string = "<AudioSampleMetaData ( id={}, is_wake_word={}, "
         string += "first_name={}, last_name={}, gender={}, noise_level={}, "
         string += "location={}, tone={}, timestamp={}, username={} )>"
-        return (string.format(self.id, self.is_wake_word, self.first_name,
-                              self.last_name, self.gender, self.noise_level,
-                              self.location, self.tone, self.timestamp,
-                              self.username))
+        return string.format(
+            self.id,
+            self.is_wake_word,
+            self.first_name,
+            self.last_name,
+            self.gender,
+            self.noise_level,
+            self.location,
+            self.tone,
+            self.timestamp,
+            self.username,
+        )
diff --git a/Entity/Calendars.py b/Entity/Calendars.py
index 3306053..eb8f812 100644
--- a/Entity/Calendars.py
+++ b/Entity/Calendars.py
@@ -1,11 +1,12 @@
 from sqlalchemy import Column, Integer, String, Text
 from sqlalchemy.ext.declarative import declarative_base
 
-# This is the way SQLAlchemy initializes their special classes	
+# This is the way SQLAlchemy initializes their special classes
 Base = declarative_base()
 
+
 class Calendars(Base):
-    __tablename__ = 'Calendars'
+    __tablename__ = "Calendars"
 
     calendar_id = Column(Integer, primary_key=True)
     date = Column(String(10))
@@ -14,8 +15,7 @@ class Calendars(Base):
     year = Column(Integer)
     raw_events_text = Column(Text)
 
-
     def __repr__(self):
         return "<Calendars (date={}, events={})>".format(
-            self.date, self.raw_events_text)
-        
\ No newline at end of file
+            self.date, self.raw_events_text
+        )
diff --git a/Entity/Corequisites.py b/Entity/Corequisites.py
index d597009..1f8bda4 100644
--- a/Entity/Corequisites.py
+++ b/Entity/Corequisites.py
@@ -1,5 +1,4 @@
 class Corequisites:
-
     def __init__(self, courseId, coreqCourse):
         self.courseId = courseId
         self.coreqCourse = coreqCourse
diff --git a/Entity/Corrections.py b/Entity/Corrections.py
index 06347db..1994426 100644
--- a/Entity/Corrections.py
+++ b/Entity/Corrections.py
@@ -1,7 +1,12 @@
 class Corrections:
-
-    def __init__(self, correctionId, rawText, correctionText,
-                 tableNameToCorrect, columnNameToCorrect):
+    def __init__(
+        self,
+        correctionId,
+        rawText,
+        correctionText,
+        tableNameToCorrect,
+        columnNameToCorrect,
+    ):
         self.correctionId = correctionId
         self.rawText = rawText
         self.correctionText = correctionText
diff --git a/Entity/Courses.py b/Entity/Courses.py
index 74241a2..f737ba5 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -11,6 +11,7 @@ class CollegeStanding(enum.Enum):
     """
     https://docs.sqlalchemy.org/en/13/core/type_basics.html#sqlalchemy.types.Enum
     """
+
     first_year = freshman = FR = 1  # 'FReshman'
     second_year = sophomore = SO = 2  # 'SOphomore'
     third_year = junior = JR = 3  # 'JunioR'
@@ -20,12 +21,12 @@ class CollegeStanding(enum.Enum):
 
 
 class Courses(Base):
-    __tablename__ = 'Courses'
+    __tablename__ = "Courses"
     # TODO: update schema and this Courses class to follow snake_case convention
     id = Column(Integer, primary_key=True)
     dept = Column(String(5))
     courseNum = Column(Integer)
-    termsOffered = Column(SET('F', 'W', 'SP', 'SU', 'TBD'))
+    termsOffered = Column(SET("F", "W", "SP", "SU", "TBD"))
     units = Column(String(5))
     courseName = Column(String(255))
     raw_concurrent_text = Column(Text)
@@ -33,5 +34,4 @@ class Courses(Base):
     raw_prerequisites_text = Column(Text)
 
     def __repr__(self):
-        return "<Courses (dept={}, course_num={})>".format(
-            self.dept, self.courseNum)
+        return "<Courses (dept={}, course_num={})>".format(self.dept, self.courseNum)
diff --git a/Entity/Locations.py b/Entity/Locations.py
index 649f8ef..1762ccd 100644
--- a/Entity/Locations.py
+++ b/Entity/Locations.py
@@ -3,9 +3,10 @@
 
 Base = declarative_base()
 
+
 class Locations(Base):
-    __tablename__ = 'Locations'
-    location_id = Column(Integer, primary_key = True)
+    __tablename__ = "Locations"
+    location_id = Column(Integer, primary_key=True)
     building_number = Column(String(5))
     name = Column(String(100))
     longitude = Column(String(255))
@@ -13,4 +14,5 @@ class Locations(Base):
 
     def __repr__(self):
         return "<Locations (building_number = {}, name = {}, longitude = {}, latitude = {})>".format(
-            self.building_number, self.name, self.longitude, self.latitude)
\ No newline at end of file
+            self.building_number, self.name, self.longitude, self.latitude
+        )
diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
index 91d2bb0..f14df09 100644
--- a/Entity/OfficeHours.py
+++ b/Entity/OfficeHours.py
@@ -4,6 +4,7 @@
 # This is the way SQLAlchemy initializes their special classes
 Base = declarative_base()
 
+
 class OfficeHours(Base):
     __tablename__ = "OfficeHours"
 
@@ -23,7 +24,16 @@ class OfficeHours(Base):
 
     def __repr__(self):
         return "<Office Hours (Name={}, Office={}, Email={}, Monday={}, Tuesday={}, Wednesday={}, Thursday={}, Friday={})>".format(
-            self.Name, self.Office, self.Email, self.Monday, self.Tuesday, self.Wednesday, self.Thursday, self.Friday)
+            self.Name,
+            self.Office,
+            self.Email,
+            self.Monday,
+            self.Tuesday,
+            self.Wednesday,
+            self.Thursday,
+            self.Friday,
+        )
+
 
 if __name__ == "__main__":
 
diff --git a/Entity/PolyRatings.py b/Entity/PolyRatings.py
index 111d2b7..b26e305 100644
--- a/Entity/PolyRatings.py
+++ b/Entity/PolyRatings.py
@@ -2,7 +2,6 @@
 
 
 class PolyRating:
-
     def __init__(self, id, avgRating, numRatings, Professors_id):
         self.id = id
         self.avgRating = avgRating
diff --git a/Entity/Prerequisites.py b/Entity/Prerequisites.py
index a34662b..1ae60ad 100644
--- a/Entity/Prerequisites.py
+++ b/Entity/Prerequisites.py
@@ -1,5 +1,4 @@
 class Prerequisites:
-
     def __init__(self, courseId, prereqCourse):
         self.courseId = courseId
         self.prereqCourse = prereqCourse
diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
index 701a05e..68ded0c 100644
--- a/Entity/ProfessorSectionView.py
+++ b/Entity/ProfessorSectionView.py
@@ -26,7 +26,7 @@ class ProfessorSectionView(Base):
     phone = Column(String(255))
     office = Column(String(255))
     type = Column(Enum(SectionType))
-    days = Column(SET('M', 'T', 'W', 'R', 'F'))
+    days = Column(SET("M", "T", "W", "R", "F"))
     start = Column(String(255))
     end = Column(String(255))
     location = Column(String(255))
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 9d0d34a..61a308e 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -25,4 +25,4 @@ def __repr__(self):
             f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
         ]
         attributes_string = ", ".join(attributes)
-        return f"{self.__class__.__name__}({attributes_string})"
\ No newline at end of file
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/Sections.py b/Entity/Sections.py
index 8985298..094fb14 100644
--- a/Entity/Sections.py
+++ b/Entity/Sections.py
@@ -24,7 +24,7 @@ class Sections(Base):
     phone = Column(String(255))
     office = Column(String(255))
     type = Column(Enum(SectionType))
-    days = Column(SET('M', 'T', 'W', 'R', 'F'))
+    days = Column(SET("M", "T", "W", "R", "F"))
     start = Column(String(255))
     end = Column(String(255))
     location = Column(String(255))
diff --git a/QA.py b/QA.py
index 5062e64..f1247b2 100644
--- a/QA.py
+++ b/QA.py
@@ -16,11 +16,11 @@
 
 
 tag_lookup = {
-    'PROF': Profs,
-    'CLUB': Clubs,
-    'COURSE': Courses,
-    'SECRET_HIDEOUT': Locations,
-    'SECTION': Sections
+    "PROF": Profs,
+    "CLUB": Clubs,
+    "COURSE": Courses,
+    "SECRET_HIDEOUT": Locations,
+    "SECTION": Sections,
 }
 
 
@@ -73,7 +73,7 @@ def _string_sub(a_format, extracted_info, db_data):
     if None in db_data.values():
         return None
     else:
-        return a_format.format(ex=extracted_info['normalized entity'], **db_data)
+        return a_format.format(ex=extracted_info["normalized entity"], **db_data)
 
 
 def string_sub(a_format):
@@ -82,9 +82,11 @@ def string_sub(a_format):
 
 def _get_property(prop: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlchemy):
     ent_string = extracted_info["normalized entity"]
-    ent = tag_lookup[extracted_info['tag']]
+    ent = tag_lookup[extracted_info["tag"]]
     try:
-        value = db.get_property_from_entity(prop=prop, entity=ent, identifier=ent_string)
+        value = db.get_property_from_entity(
+            prop=prop, entity=ent, identifier=ent_string
+        )
     except IndexError:
         return {f"db_{prop}": None}
     else:
@@ -95,7 +97,9 @@ def get_property(prop: str):
     return functools.partial(_get_property, prop)
 
 
-def _generic_answer_formatter(a_format: str, pred: Any, extracted_info: Extracted_Vars, db_data: DB_Data):
+def _generic_answer_formatter(
+    a_format: str, pred: Any, extracted_info: Extracted_Vars, db_data: DB_Data
+):
 
     if type(pred) == str:
         t_f = re.search(pred, db_data)
@@ -104,17 +108,18 @@ def _generic_answer_formatter(a_format: str, pred: Any, extracted_info: Extracte
     else:
         t_f = bool(db_data)
 
-    y_n = 'Yes' if t_f else 'No'
-    _not = '' if t_f else 'not'
-    not_not = 'not' if t_f else ''
+    y_n = "Yes" if t_f else "No"
+    _not = "" if t_f else "not"
+    not_not = "not" if t_f else ""
 
     return a_format.format(
-        y_n=y_n, yes_no=y_n,
+        y_n=y_n,
+        yes_no=y_n,
         _not=_not,
         not_not=not_not,
         t_f=t_f,
         db=db_data,
-        ex=extracted_info
+        ex=extracted_info,
     )
 
 
@@ -122,9 +127,9 @@ def generic_answer_formatter(a_format: str, pred: Any = None):
     return functools.partial(_generic_answer_formatter, a_format, pred)
 
 
-def _grammatical_join(substrings: list, last_two_join: str = 'and'):
+def _grammatical_join(substrings: list, last_two_join: str = "and"):
     if len(substrings) == 0:
-        return ''
+        return ""
     elif len(substrings) == 1:
         return substrings[0]
     elif len(substrings) == 2:
@@ -144,15 +149,15 @@ def _format_prof_office_hours(prof: str, days: str):
     hours = lambda x: x[1]
 
     week = []
-    for token in days.split(', '):
+    for token in days.split(", "):
         try:
-            d, h = token.split(' ', 1)
+            d, h = token.split(" ", 1)
         except ValueError:
             continue
         week.append((d, h))
 
     if not week:
-        return f'{prof} currently has no office hours'
+        return f"{prof} currently has no office hours"
 
     week.sort(key=hours)
     groups = []
@@ -162,18 +167,20 @@ def _format_prof_office_hours(prof: str, days: str):
         keys.append(key)
 
     if keys[0] == "on leave":
-        return f'{prof} is currently on leave'
+        return f"{prof} is currently on leave"
 
     substrings = []
     for g in groups:
         ds = [d for d, _ in g]
-        k = hours(g[0]).replace('-', 'to')
+        k = hours(g[0]).replace("-", "to")
         substrings.append(f"{_grammatical_join(ds)} {k}")
 
     return f"{prof} has office hours {_grammatical_join(substrings)}"
 
 
-def _chain_db_access(fns: List[DB_Query], extracted_vars: Extracted_Vars, db: NimbusMySQLAlchemy) -> DB_Data:
+def _chain_db_access(
+    fns: List[DB_Query], extracted_vars: Extracted_Vars, db: NimbusMySQLAlchemy
+) -> DB_Data:
     """
     Combines behavior of a list of database access functions
 
@@ -201,7 +208,7 @@ def chain_db_access(fns: List[DB_Query]) -> DB_Query:
 
 
 def generate_qa_pairs(qa_pairs: Tuple[str, str], db: NimbusMySQLAlchemy):
-    text_in_brackets = r'\[[^\[\]]*\]'
+    text_in_brackets = r"\[[^\[\]]*\]"
     qa_objs = []
     for pair in qa_pairs:
         q = pair[0]
@@ -233,8 +240,8 @@ def generate_qa_pairs(qa_pairs: Tuple[str, str], db: NimbusMySQLAlchemy):
             q_format=q,
             db_query=chain_db_access(db_access_fns),
             format_answer=string_sub(a),
-            db=db
+            db=db,
         )
         qa_objs.append(o)
 
-    return qa_objs
\ No newline at end of file
+    return qa_objs
diff --git a/create_all_tables.py b/create_all_tables.py
index b0868ac..aceaba9 100755
--- a/create_all_tables.py
+++ b/create_all_tables.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
 from database_wrapper import NimbusMySQLAlchemy
 
-db = NimbusMySQLAlchemy(config_file='config.json')
+db = NimbusMySQLAlchemy(config_file="config.json")
 db._create_all_tables()
diff --git a/db_wrapper.py b/db_wrapper.py
index 950e247..60e6810 100755
--- a/db_wrapper.py
+++ b/db_wrapper.py
@@ -6,9 +6,7 @@
 
 
 def connect():
-    cxn = m.connect(host=CONFIG['host'],
-                    user=CONFIG['user'],
-                    passwd=CONFIG['password'])
+    cxn = m.connect(host=CONFIG["host"], user=CONFIG["user"], passwd=CONFIG["password"])
     return cxn
 
 
@@ -20,7 +18,7 @@ def get_databases(cxn):
         a tuple of strings of database names
     """
     cursor = cxn.cursor()
-    cursor.execute('SHOW DATABASES')
+    cursor.execute("SHOW DATABASES")
     # cursor.fetchall() returns a list of singleton tuples
     tups = cursor.fetchall()
     cursor.close()
@@ -35,12 +33,12 @@ def get_tables(cxn, database_name):
     Returns:
         a tuple of strings of database names
     """
-    acceptable_list = ['dev']
+    acceptable_list = ["dev"]
     assert database_name in acceptable_list, "unexpected database_name"
 
     cursor = cxn.cursor()
-    cursor.execute('use ' + database_name)
-    cursor.execute('show tables')
+    cursor.execute("use " + database_name)
+    cursor.execute("show tables")
     # cursor.fetchall() returns a list of singleton tuples
     tups = cursor.fetchall()
     cursor.close()
@@ -55,7 +53,7 @@ def run_create_script(cxn, filename):
         True if succeeded
     """
     c = cxn.cursor()
-    with open(filename, 'r') as f:
+    with open(filename, "r") as f:
         c.execute(f.read())
     time.sleep(2)
     c.close()
@@ -99,8 +97,8 @@ def courses_offered(cxn, course):
 
     c.execute("use dev")
 
-    query = "SELECT courseName, termsOffered from Courses where courseName like \"%"
-    query += course + "%\""
+    query = 'SELECT courseName, termsOffered from Courses where courseName like "%'
+    query += course + '%"'
 
     print(query)
     c.execute(query)
@@ -127,16 +125,16 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
 
     c.execute("use dev")
 
-    query = "SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like \"%"
-    query += profLastName + "%\""
+    query = 'SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like "%'
+    query += profLastName + '%"'
 
     # this can be an article of discussion for matching professor names
     if profFirstName != "":
-        query += " and p.firstName likel \"%"
-        query += profFirstName + "%\""
+        query += ' and p.firstName likel "%'
+        query += profFirstName + '%"'
 
-    query += " and courseName like \"%"
-    query += course + "%\""
+    query += ' and courseName like "%'
+    query += course + '%"'
 
     print(query)
     c.execute(query)
@@ -152,9 +150,9 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     cxn = connect()
 
     print("getting databases...", get_databases(cxn))
-    print("getting tables...", get_tables(cxn, 'dev'))
+    print("getting tables...", get_tables(cxn, "dev"))
 
-    script = join(CONFIG['sql_dir'], CONFIG['create_file'])
+    script = join(CONFIG["sql_dir"], CONFIG["create_file"])
 
     # print("running create script...")
     # assert run_create_script(cxn, script) == True, "uh oh failed to create"
@@ -162,7 +160,7 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     cxn.close()
     cxn = connect()
 
-    print("getting tables...", get_tables(cxn, 'dev'))
+    print("getting tables...", get_tables(cxn, "dev"))
 
     print(courses_offered(cxn, "CSC 357"))
 
diff --git a/demo.py b/demo.py
index 4baae3f..3304281 100644
--- a/demo.py
+++ b/demo.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 from database_wrapper import NimbusMySQL
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     db = NimbusMySQL(config_file="config.json")
 
     ents = db.get_entities()
diff --git a/download_nltk_stuff.py b/download_nltk_stuff.py
index 1f57c39..2768eb3 100644
--- a/download_nltk_stuff.py
+++ b/download_nltk_stuff.py
@@ -1,4 +1,5 @@
 #!/usr/bin/env python3
 import nltk
-nltk.download('punkt')
-nltk.download('averaged_perceptron_tagger')
+
+nltk.download("punkt")
+nltk.download("averaged_perceptron_tagger")
diff --git a/flask_api.py b/flask_api.py
index 6604d32..f6c3667 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -131,8 +131,8 @@ def save_a_recording():
 
     return filename
 
-  
-@app.route('/new_data/office_hours', methods=['POST'])
+
+@app.route("/new_data/office_hours", methods=["POST"])
 def save_office_hours():
     """
     Persists list of office hours
@@ -156,7 +156,7 @@ def save_office_hours():
 
     return "SUCCESS"
 
-  
+
 @app.route("/new_data/phrase", methods=["POST"])
 def save_query_phrase():
     validator = PhrasesValidator()
@@ -357,72 +357,76 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     """
     # Set the entity type as the OfficeHours entity class
     entity_type = db.OfficeHours
-    
+
     # Check if the current entity is already within the database
-    if (db.get_property_from_entity(
-            prop="Name",
-            entity=entity_type,
-            identifier=current_prof["Name"]) != None):
+    if (
+        db.get_property_from_entity(
+            prop="Name", entity=entity_type, identifier=current_prof["Name"]
+        )
+        != None
+    ):
 
         update_office_hours = True
 
-    else:    
+    else:
         update_office_hours = False
 
     # String for adding each day of office hours
     office_hours = ""
 
     # Split name for first and last name
-    split_name = current_prof["Name"].split(',')
+    split_name = current_prof["Name"].split(",")
 
     # Extract each property for the entity
-    last_name = split_name[0].replace('"', '')
-    first_name = split_name[1].replace('"', '')
-    
+    last_name = split_name[0].replace('"', "")
+    first_name = split_name[1].replace('"', "")
+
     # Check that each extracted property is not empty then add it to
     # the office hours string
-    if current_prof["Monday"] != '':
+    if current_prof["Monday"] != "":
 
         # Check that the current property does not contain digits which
         # implies that it is alternative information about availability
-        if (any(char.isdigit() for char in current_prof["Monday"]) == False):
+        if any(char.isdigit() for char in current_prof["Monday"]) == False:
             office_hours = current_prof["Monday"]
 
         # Otherwise it is a time
         else:
-            office_hours += ("Monday " + current_prof["Monday"] + ", ") 
+            office_hours += "Monday " + current_prof["Monday"] + ", "
 
-    if current_prof["Tuesday"] != '':
-        office_hours += ("Tuesday " + current_prof["Tuesday"] + ", ") 
+    if current_prof["Tuesday"] != "":
+        office_hours += "Tuesday " + current_prof["Tuesday"] + ", "
 
-    if current_prof["Wednesday"] != '':
-        office_hours += ("Wednesday " + current_prof["Wednesday"] + ", ") 
+    if current_prof["Wednesday"] != "":
+        office_hours += "Wednesday " + current_prof["Wednesday"] + ", "
 
-    if current_prof["Thursday"] != '':
-        office_hours += ("Thursday " + current_prof["Thursday"] + ", ") 
+    if current_prof["Thursday"] != "":
+        office_hours += "Thursday " + current_prof["Thursday"] + ", "
 
-    if current_prof["Friday"] != '' and current_prof["Friday"] != '\n':
-        office_hours += ("Friday " + current_prof["Friday"] + ", ") 
+    if current_prof["Friday"] != "" and current_prof["Friday"] != "\n":
+        office_hours += "Friday " + current_prof["Friday"] + ", "
 
     # Generate the data structure for the database entry
     sql_data = {
-            "Name"          : last_name + ", " + first_name,
-            "LastName"      : last_name,
-            "FirstName"     : first_name,
-            "Office"        : current_prof["Office"],
-            "Phone"         : current_prof["Phone"],
-            "Email"         : current_prof["Email"],
-            "Monday"        : current_prof["Monday"],
-            "Tuesday"       : current_prof["Tuesday"],
-            "Wednesday"     : current_prof["Wednesday"],
-            "Thursday"      : current_prof["Thursday"],
-            "Friday"        : current_prof["Friday"],
-            "OfficeHours"   : office_hours
-            }
+        "Name": last_name + ", " + first_name,
+        "LastName": last_name,
+        "FirstName": first_name,
+        "Office": current_prof["Office"],
+        "Phone": current_prof["Phone"],
+        "Email": current_prof["Email"],
+        "Monday": current_prof["Monday"],
+        "Tuesday": current_prof["Tuesday"],
+        "Wednesday": current_prof["Wednesday"],
+        "Thursday": current_prof["Thursday"],
+        "Friday": current_prof["Friday"],
+        "OfficeHours": office_hours,
+    }
 
     # Update the entity properties if the entity already exists
-    if (update_office_hours == True):
-        db.update_entity(entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"])
+    if update_office_hours == True:
+        db.update_entity(
+            entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"]
+        )
 
     # Otherwise, add the entity to the database
     else:
@@ -469,7 +473,5 @@ def convert_to_mfcc():
     pass
 
 
-if __name__ == '__main__':
-    app.run(host='0.0.0.0',
-            debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT) 
\ No newline at end of file
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
diff --git a/nimbus.py b/nimbus.py
index 2344577..d6b068b 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -13,13 +13,10 @@
 
 
 class Nimbus:
-
     def __init__(self, db: NimbusMySQLAlchemy):
         self.db = db
         qa_pairs = db.get_all_answerable_pairs()
-        self.qa_dict = create_qa_mapping(
-            generate_qa_pairs(qa_pairs, db)
-        )
+        self.qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
         # Instantiate variable extractor and question classifier
         self.variable_extractor = VariableExtractor()
         self.classifier = QuestionClassifier()
@@ -40,8 +37,10 @@ def answer_question(self, question):
             if answer is None:
                 # Printed when a database query was made and a null value was returned.
                 # Should be handled in the QA class in the future.
-                return("I'm sorry, I understand your question but was unable to find an answer. "
-                       "Please try another question.")
+                return (
+                    "I'm sorry, I understand your question but was unable to find an answer. "
+                    "Please try another question."
+                )
             else:
                 return answer
 
@@ -60,8 +59,9 @@ def predict_question(self, question):
         nlp_props = self.variable_extractor.extract_variables(question)
 
         # Add classified question to nlp_props dictionary
-        nlp_props["question class"] = self.classifier. \
-            classify_question(nlp_props["normalized question"])
+        nlp_props["question class"] = self.classifier.classify_question(
+            nlp_props["normalized question"]
+        )
 
         return nlp_props
 
@@ -70,10 +70,6 @@ def predict_question(self, question):
     ve = VariableExtractor()
     db = NimbusMySQLAlchemy()
     qa_pairs = db.get_all_answerable_pairs()
-    qa_dict = create_qa_mapping(
-        generate_qa_pairs(qa_pairs, db)
-    )
+    qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
     extracted = ve.extract_variables("How do I zoom Dr. Khosmood?")
-    print(
-        qa_dict["How do I zoom [PROF]?"].answer(extracted)
-    )
\ No newline at end of file
+    print(qa_dict["How do I zoom [PROF]?"].answer(extracted))
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 8be1b77..5131b53 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -8,14 +8,14 @@
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
 
-class QuestionClassifier:
 
+class QuestionClassifier:
     def __init__(self, file_path="question_set_clean.csv"):
         self.classifier = None
 
         # Disable named entity recognition for speed
-        self.nlp = spacy.load('en_core_web_sm', disable=["ner"])
-        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
+        self.nlp = spacy.load("en_core_web_sm", disable=["ner"])
+        self.WH_WORDS = {"WDT", "WP", "WP$", "WRB"}
         self.overall_features = {}
 
     # Added question pairs as a parameter to remove database_wrapper as a dependency
@@ -34,8 +34,9 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
 
         vectors = []
         for feature in question_features:
-            vector_gen = [feature[k] if k in feature else 0
-                          for k in self.overall_features]
+            vector_gen = [
+                feature[k] if k in feature else 0 for k in self.overall_features
+            ]
             vectors.append(np.array(vector_gen))
 
         vectors = np.array(vectors)
@@ -43,7 +44,7 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
         new_classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
         new_classifier.fit(vectors, y_train)
 
-        with open(PROJECT_DIR + '/models/features/overall_features.json', 'w') as fp:
+        with open(PROJECT_DIR + "/models/features/overall_features.json", "w") as fp:
             json.dump(self.overall_features, fp)
 
         return new_classifier
@@ -54,7 +55,7 @@ def train_model(self):
 
     def load_latest_classifier(self):
         self.classifier = load_latest_model()
-        with open(PROJECT_DIR + '/models/features/overall_features.json', 'r') as fp:
+        with open(PROJECT_DIR + "/models/features/overall_features.json", "r") as fp:
             self.overall_features = json.load(fp)
 
     def is_wh_word(self, token):
@@ -81,7 +82,7 @@ def get_question_features(self, spacy_doc):
             # Add [VARIABLES] with weight 90.
             # token.i returns the index of the token, and token.nbor(n) return the token
             # n places away. Only the left neighbor is tested for brevity.
-            elif token.i != 0 and token.nbor(-1).text == '[':
+            elif token.i != 0 and token.nbor(-1).text == "[":
                 features[token.text] = 90
 
             # Add WH words with weight 60
@@ -109,8 +110,9 @@ def classify_question(self, question):
         doc = self.nlp(question)
         test_features = self.get_question_features(doc)
 
-        array_gen = [test_features[k] if k in test_features else 0
-                     for k in self.overall_features]
+        array_gen = [
+            test_features[k] if k in test_features else 0 for k in self.overall_features
+        ]
         test_array = np.array(array_gen)
 
         # Flatten array into a vector
@@ -129,4 +131,4 @@ def classify_question(self, question):
         if not wh_words_match:
             return "WH Words Don't Match"
 
-        return predicted_question
\ No newline at end of file
+        return predicted_question
diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
index 375ae12..8111e72 100644
--- a/nimbus_nlp/save_and_load_model.py
+++ b/nimbus_nlp/save_and_load_model.py
@@ -18,22 +18,23 @@
 
 
 def save_model(model, model_name):
-    save_path = PROJECT_DIR + '/models/classification/' + model_name + date_time + '.pkl'
-    f = open(save_path, 'wb')
+    save_path = (
+        PROJECT_DIR + "/models/classification/" + model_name + date_time + ".pkl"
+    )
+    f = open(save_path, "wb")
     pickle.dump(model, f)
     f.close()
-    print('Saved model :', save_path)
+    print("Saved model :", save_path)
 
 
 def load_model(model_name):
-    train_path = PROJECT_DIR + '/models/classification/' + model_name + '.joblib'
+    train_path = PROJECT_DIR + "/models/classification/" + model_name + ".joblib"
     return joblib.load(train_path)
 
+
 def load_latest_model():
     # https://stackoverflow.com/a/39327156
-    train_path = PROJECT_DIR + '/models/classification/*'
+    train_path = PROJECT_DIR + "/models/classification/*"
     list_of_files = glob.glob(train_path)
     latest_file = max(list_of_files, key=os.path.getctime)
     return joblib.load(latest_file)
-
-
diff --git a/nimbus_nlp/variable_extractor.py b/nimbus_nlp/variable_extractor.py
index 7bc148c..ad7fa55 100644
--- a/nimbus_nlp/variable_extractor.py
+++ b/nimbus_nlp/variable_extractor.py
@@ -5,7 +5,6 @@
 
 
 class VariableExtractor:
-
     def __init__(self, config_file: str = "config.json"):
 
         with open(config_file) as json_data_file:
@@ -14,7 +13,9 @@ def __init__(self, config_file: str = "config.json"):
         if config.get("GOOGLE_CLOUD_NLP_MODEL_NAME", False):
             self.model_name = config["GOOGLE_CLOUD_NLP_MODEL_NAME"]
         else:
-            msg = "config.json is missing {} field.".format("GOOGLE_CLOUD_NLP_MODEL_NAME")
+            msg = "config.json is missing {} field.".format(
+                "GOOGLE_CLOUD_NLP_MODEL_NAME"
+            )
             raise Exception(msg)
 
         credential_path = os.getcwd() + "/auth.json"
@@ -29,7 +30,7 @@ def inline_text_payload(sent):
         Return: (dict) - GCP NER input format
         """
 
-        return {"text_snippet": {"content": sent, "mime_type": "text/plain"} }
+        return {"text_snippet": {"content": sent, "mime_type": "text/plain"}}
 
     def get_prediction(self, sent):
         """
@@ -83,11 +84,11 @@ def extract_variables(self, sent):
         normalized_question = sent.replace(entity, "[" + tag + "]")
 
         return {
-            "entity"                : entity,
-            "tag"                   : tag,
-            "normalized entity"     : normalized_entity,
-            "input question"        : sent,
-            "normalized question"   : normalized_question
+            "entity": entity,
+            "tag": tag,
+            "normalized entity": normalized_entity,
+            "input question": sent,
+            "normalized question": normalized_question,
         }
 
     @staticmethod
@@ -113,8 +114,21 @@ def strip_titles(entity):
         """
 
         # list of titles for removal
-        titles = {"professor", "dr.", "dr", "doctor", "prof", "instructor", "mrs.", \
-                  "mr.", "ms.", "mrs", "mr", "ms", "mister"}
+        titles = {
+            "professor",
+            "dr.",
+            "dr",
+            "doctor",
+            "prof",
+            "instructor",
+            "mrs.",
+            "mr.",
+            "ms.",
+            "mrs",
+            "mr",
+            "ms",
+            "mister",
+        }
 
         # tokenizes the entity
         for name in entity.split():
@@ -126,4 +140,4 @@ def strip_titles(entity):
 
         # returns the original entity string
         # if there is no title in the word
-        return entity
\ No newline at end of file
+        return entity
diff --git a/office_hours_post_request.py b/office_hours_post_request.py
index 7442abf..53a55b0 100644
--- a/office_hours_post_request.py
+++ b/office_hours_post_request.py
@@ -3,8 +3,9 @@
 import requests
 import sys
 
+
 def convert_to_dict(data_in: list):
-    '''
+    """
     Takes a list of string lists which contains each row from
     a CSV and generates a dictionary of dictionaries which is
     each professor and their properties
@@ -46,52 +47,52 @@ def convert_to_dict(data_in: list):
                 "Friday":   "10:00 - 12:00 PM" }
        }
 
-    '''
+    """
 
     # Dictionary of professors to be returned
     return_dict = {}
-  
+
     try:
 
         # Parse each list of the input which is a row from the CSV
         for data in data_in:
-        
+
             # Generate the office hours template dictionary
             office_hours_dict = {
-                    "Name"      : "",
-                    "Office"    : "",
-                    "Phone"     : "",
-                    "Email"     : "",
-                    "Monday"    : "",
-                    "Tuesday"   : "",
-                    "Wednesday" : "",
-                    "Thursday"  : "",
-                    "Friday"    : ""
-                    }
+                "Name": "",
+                "Office": "",
+                "Phone": "",
+                "Email": "",
+                "Monday": "",
+                "Tuesday": "",
+                "Wednesday": "",
+                "Thursday": "",
+                "Friday": "",
+            }
 
             # Populate each property of the office hours dictionary
-            office_hours_dict["Name"]        = data[0]
-            office_hours_dict["Office"]      = data[1]
-            office_hours_dict["Phone"]       = data[2]
-            office_hours_dict["Email"]       = data[3]
-            office_hours_dict["Monday"]      = data[4]
-            office_hours_dict["Tuesday"]     = data[5]
-            office_hours_dict["Wednesday"]   = data[6]
-            office_hours_dict["Thursday"]    = data[7]
-            office_hours_dict["Friday"]      = data[8]
+            office_hours_dict["Name"] = data[0]
+            office_hours_dict["Office"] = data[1]
+            office_hours_dict["Phone"] = data[2]
+            office_hours_dict["Email"] = data[3]
+            office_hours_dict["Monday"] = data[4]
+            office_hours_dict["Tuesday"] = data[5]
+            office_hours_dict["Wednesday"] = data[6]
+            office_hours_dict["Thursday"] = data[7]
+            office_hours_dict["Friday"] = data[8]
 
             # The key of the current professor of the professors dictionary
             # is the professor's name
             return_dict[data[0]] = office_hours_dict
 
         return return_dict
-    
+
     except Exception as e:
-        raise e 
+        raise e
 
 
 def process_csv(curr_file: str):
-    '''
+    """
     Reads in the CSV and outputs a list of string lists
     which is each row of the CSV
 
@@ -115,25 +116,25 @@ def process_csv(curr_file: str):
                     "",
                     "10:00 - 12:00 PM"]
             ]
-    '''
+    """
     # List to be returned
     curr_data = []
 
     # Open the CSV and read the fields of the CSV
-    with open(curr_file, 'r') as csv_file:
+    with open(curr_file, "r") as csv_file:
         csvreader = csv.reader(csv_file)
         fields = next(csvreader)
 
         # Iterate through each row and append the row
         # to curr_data
         for row in csvreader:
-            curr_data.append(row) 
+            curr_data.append(row)
 
     return curr_data
 
 
 def post_request(oh_dict: dict):
-    '''
+    """
     Takes in the dictionary of professors and
     sends the post request.
 
@@ -161,25 +162,25 @@ def post_request(oh_dict: dict):
  
     >> post_request(oh_dict)
 
-    '''
+    """
 
     # URL for making the post request
     url = sys.argv[2]
 
     # Header contents for the post request
-    headers = {
-            "Content-Type":"application/json"
-            }
+    headers = {"Content-Type": "application/json"}
 
     # Passes the professor dictionary through the post request
-    x = requests.post(url, headers=headers, data = json.dumps(oh_dict))
+    x = requests.post(url, headers=headers, data=json.dumps(oh_dict))
 
 
 if __name__ == "__main__":
-    if ((len(sys.argv) != 3) or (sys.argv[1][-3:] != "csv")):
-        print('Usage: python office_hours_post_request.py '\
-                '"/path/to/office_hours.csv" '\
-               '"http://post_request_url.com/new_data/office_hours"')
+    if (len(sys.argv) != 3) or (sys.argv[1][-3:] != "csv"):
+        print(
+            "Usage: python office_hours_post_request.py "
+            '"/path/to/office_hours.csv" '
+            '"http://post_request_url.com/new_data/office_hours"'
+        )
 
     else:
         try:
diff --git a/sqlalchemy_demo.py b/sqlalchemy_demo.py
index 09f2250..cc5f598 100644
--- a/sqlalchemy_demo.py
+++ b/sqlalchemy_demo.py
@@ -17,7 +17,7 @@
 
 
 class Tag(Base):
-    __tablename__ = 'tags'
+    __tablename__ = "tags"
     id = Column(Integer, primary_key=True)
     name = Column(String(255), unique=True, nullable=False)
 
@@ -28,17 +28,23 @@ def __repr__(self):
 # connection
 # https://docs.sqlalchemy.org/en/13/dialects/mysql.html#module-sqlalchemy.dialects.mysql.mysqlconnector
 # engine = create_engine('mysql+mysqlconnector://USERNAME:PASSWORD@HOST_NAME:3306/DATABASE_NAME')  # noqa
-config_file = 'config.json'
+config_file = "config.json"
 with open(config_file) as json_data_file:
     config = json.load(json_data_file)
 
-if config.get('mysql', False):
-    mysql_config = config['mysql']
+if config.get("mysql", False):
+    mysql_config = config["mysql"]
     RDBMS = "mysql"
     PIP_PACKAGE = "mysqlconnector"
     SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
-        RDBMS, PIP_PACKAGE, mysql_config['user'], mysql_config['password'],
-        mysql_config['host'], mysql_config['port'], mysql_config['database'])
+        RDBMS,
+        PIP_PACKAGE,
+        mysql_config["user"],
+        mysql_config["password"],
+        mysql_config["host"],
+        mysql_config["port"],
+        mysql_config["database"],
+    )
     engine = create_engine(SQLALCHEMY_DATABASE_URI)
 
     if engine is None:
@@ -56,9 +62,9 @@ def __repr__(self):
 session = Session()
 
 # insert data
-tag_cool = Tag(name='cool')
-tag_car = Tag(name='car')
-tag_animal = Tag(name='animal')
+tag_cool = Tag(name="cool")
+tag_car = Tag(name="car")
+tag_animal = Tag(name="animal")
 
 print("TAGS!!")
 print(tag_cool)
@@ -72,14 +78,14 @@ def __repr__(self):
 session.commit()
 
 # query data
-t1 = session.query(Tag).filter(Tag.name == 'cool').first()
+t1 = session.query(Tag).filter(Tag.name == "cool").first()
 
 print("T1!!")
 print(t1)
 print()
 
 # update entity
-t1.name = 'cool-up'
+t1.name = "cool-up"
 print("T1 again!! notice `cool-up`")
 print(t1)
 print()
@@ -97,7 +103,7 @@ def __repr__(self):
 session.commit()
 
 inspector = inspect(engine)
-print('table names', inspector.get_table_names())
+print("table names", inspector.get_table_names())
 
 print("dropping table Tag")
 # https://www.pythonsheets.com/notes/python-sqlalchemy.html#drop-a-table
@@ -105,4 +111,4 @@ def __repr__(self):
 print(Tag.__table__.drop(engine))
 print("dropped??")
 
-print('table names', inspector.get_table_names())
+print("table names", inspector.get_table_names())
diff --git a/tasks.py b/tasks.py
index e767da1..b243bf4 100644
--- a/tasks.py
+++ b/tasks.py
@@ -221,7 +221,7 @@ def docker(c, username=None, app_name="nimbus"):
     cmd += " --build-arg GOOGLE_DRIVE_FOLDER_ID"
     cmd += " --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS"
     cmd += " --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME"
-    cmd += f" -t \"{username}/{app_name}\" ."
+    cmd += f' -t "{username}/{app_name}" .'
 
     print(f"$ {cmd}\n")
     c.run(cmd, pty=True)  # run the docker build
@@ -257,4 +257,3 @@ def docker_shell(c, image_name=None):
     cmd = f"docker run -it --rm {image_name} sh"
     print(f"$ {cmd}\n")
     c.run(cmd, pty=True)  # run the docker interactive shell
-
diff --git a/tests/hypothesis_example.py b/tests/hypothesis_example.py
index 9604f4b..151ad0f 100755
--- a/tests/hypothesis_example.py
+++ b/tests/hypothesis_example.py
@@ -26,8 +26,11 @@ def concat_with_space(lst: List[str]) -> str:
 
 @given(
     lists(
-        text(alphabet="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ",
-             min_size=0)))
+        text(
+            alphabet="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ", min_size=0
+        )
+    )
+)
 def test_concat_with_space_has_identity_property_when_split_on_space(s):
     p = concat_with_space(s).split(" ")
     p.pop()  # because the last " " leaves an empty in list [... ,'']
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
index f858325..d9578ae 100644
--- a/tests/test_database_wrapper.py
+++ b/tests/test_database_wrapper.py
@@ -2,19 +2,33 @@
 import os
 import pytest
 
-from database_wrapper import (NimbusMySQLAlchemy, BadDictionaryKeyError, BadDictionaryValueError,
-                              NimbusDatabaseError, UnsupportedDatabaseError, BadConfigFileError)
+from database_wrapper import (
+    NimbusMySQLAlchemy,
+    BadDictionaryKeyError,
+    BadDictionaryValueError,
+    NimbusDatabaseError,
+    UnsupportedDatabaseError,
+    BadConfigFileError,
+)
 from mock import patch, Mock
 from .MockEntity import MockEntity
 
 
-ENTITY_TYPES = ["AudioSampleMetaData", "Calendars", "Courses", "Locations",
-                "QuestionAnswerPair", "Professors", "Clubs", "Sections"]
+ENTITY_TYPES = [
+    "AudioSampleMetaData",
+    "Calendars",
+    "Courses",
+    "Locations",
+    "QuestionAnswerPair",
+    "Professors",
+    "Clubs",
+    "Sections",
+]
 
 MOCK_ENTITY_DATA_DICT = {
     "value_one": "test1",
     "value_two": "test2",
-    "value_three": "test3"
+    "value_three": "test3",
 }
 
 TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT = {
@@ -27,7 +41,7 @@
     "tone": "serious-but-not-really",
     "timestamp": 1577077883,
     "username": "guest",
-    "filename": "ww_q_serious-fake_m_doe_jj_1577077883_guest.wav"
+    "filename": "ww_q_serious-fake_m_doe_jj_1577077883_guest.wav",
 }
 
 TEST_CONFIG_FILENAME = "testConfig.json"
@@ -37,7 +51,7 @@
         "port": "testPort",
         "user": "testUser",
         "password": "testPassword",
-        "database": "testDatabase"
+        "database": "testDatabase",
     },
 }
 
@@ -50,7 +64,7 @@
     TEST_CONFIG_DICT["mysql"]["password"],
     TEST_CONFIG_DICT["mysql"]["host"],
     TEST_CONFIG_DICT["mysql"]["port"],
-    TEST_CONFIG_DICT["mysql"]["database"]
+    TEST_CONFIG_DICT["mysql"]["database"],
 )
 
 
@@ -123,7 +137,11 @@ def test_create_all_tables_already_exists(mock_create_engine):
         assert not getattr(test_db, entity_type).__table__.create.called
 
 
-@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data", return_value=MOCK_ENTITY_DATA_DICT)
+@patch.object(
+    NimbusMySQLAlchemy,
+    "validate_and_format_entity_data",
+    return_value=MOCK_ENTITY_DATA_DICT,
+)
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
 def test_insert_entity(mock_create_engine, mock_validate):
     # Setup mocks and test_db instance
@@ -141,7 +159,11 @@ def test_insert_entity(mock_create_engine, mock_validate):
         assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
 
 
-@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data", return_value=MOCK_ENTITY_DATA_DICT)
+@patch.object(
+    NimbusMySQLAlchemy,
+    "validate_and_format_entity_data",
+    return_value=MOCK_ENTITY_DATA_DICT,
+)
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
 def test_update_entity_no_match(mock_create_engine, mock_validate):
     # Setup mocks and test_db instance
@@ -166,7 +188,11 @@ def test_update_entity_no_match(mock_create_engine, mock_validate):
         assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
 
 
-@patch.object(NimbusMySQLAlchemy, "validate_and_format_entity_data", return_value=MOCK_ENTITY_DATA_DICT)
+@patch.object(
+    NimbusMySQLAlchemy,
+    "validate_and_format_entity_data",
+    return_value=MOCK_ENTITY_DATA_DICT,
+)
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
 def test_update_entity_match(mock_create_engine, mock_validate):
     # Setup mocks and test_db instance
@@ -210,7 +236,9 @@ def test_invalid_entity_type(mock_create_engine):
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
 def test_format_audio_sample_meta_data_dict(mock_create_engine):
     test_db = NimbusMySQLAlchemy()
-    test_db.format_audio_sample_meta_data_dict(dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT))
+    test_db.format_audio_sample_meta_data_dict(
+        dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT)
+    )
 
 
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
diff --git a/utilities/cases.py b/utilities/cases.py
index 23ba589..5be3375 100644
--- a/utilities/cases.py
+++ b/utilities/cases.py
@@ -1,16 +1,16 @@
-object1 = 'myNumAndStringApplesAreCool42'
+object1 = "myNumAndStringApplesAreCool42"
 object = []
 alreadyNum = True
-for char in object1: #for each character in the object
-    if char.isupper(): #if the character is uppercase
+for char in object1:  # for each character in the object
+    if char.isupper():  # if the character is uppercase
         ascii = ord(char)
         ascii += 32
-        object.append('_'+chr(ascii))
-    elif char in '0123456789' and alreadyNum == True:
+        object.append("_" + chr(ascii))
+    elif char in "0123456789" and alreadyNum == True:
         alreadyNum = False
-        object.append('_'+str(char))
-    elif char in '0123456789' and alreadyNum == False:
+        object.append("_" + str(char))
+    elif char in "0123456789" and alreadyNum == False:
         object.append(char)
     else:
         object.append(char)
-print("".join(object)) #join the list
\ No newline at end of file
+print("".join(object))  # join the list

From fa484927743f5ecf4229eec087c3ad0868773411 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@users.noreply.github.com>
Date: Thu, 23 Apr 2020 23:38:45 -0700
Subject: [PATCH 179/272] Update Dockerfile

I think this will fix the deploy issue - the last successful deploy was on bionic, the first unsuccessful was on focal.  My hunch is that ubuntu:latest switched from bionic to focal causing the failure
---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d4bf83d..e40ef6f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 # FROM python:3.6-stretch
 # FROM python:3.8-buster  # needs pip install numpy
 # FROM python:3.7-stretch
-FROM ubuntu:latest
+FROM ubuntu:bionic
 RUN apt update
 
 # the chmod will
@@ -93,4 +93,4 @@ RUN ls -lah /usr/lib/python3/dist-packages/
 # Heroku will set the PORT environment variable
 # the gunicorn_config.py will check the env vars for PORT
 # else it will do port=8080
-CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]
\ No newline at end of file
+CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]

From f9b949004685ac615aa677111bee3e2d84ca7be4 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 26 Apr 2020 15:07:26 -0700
Subject: [PATCH 180/272] remove question set csv

---
 nimbus_nlp/question_set_clean.csv | 529 ------------------------------
 1 file changed, 529 deletions(-)
 delete mode 100644 nimbus_nlp/question_set_clean.csv

diff --git a/nimbus_nlp/question_set_clean.csv b/nimbus_nlp/question_set_clean.csv
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--- a/nimbus_nlp/question_set_clean.csv
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@@ -1,529 +0,0 @@
-questionFormat
-What is [COURSE] about?
-What are the prereqs for [COURSE]?
-Which courses are required to be taken before [COURSE]?
-What courses have [COURSE] as a prereq?
-Which majors require [COURSE]?
-Which majors avoid [COURSE]?
-What are the sections times for [COURSE] next quarter?
-What are the sections times for [COURSE] this quarter?
-How many sections of [COURSE] are being offered this quarter?
-How many sections of [COURSE] are being offered next quarter?
-How many units does [COURSE] count towards?
-When is [COURSE] typically offered?
-During what quarters is [COURSE] typically offered?
-Is [COURSE] going to be offered next quarter?
-Is tutuoring offered for [COURSE]
-Is there any information on [COURSE]?
-Is [COURSE] currently offered?
-Is [COURSE] a 4 unit class?
-Does [COURSE] have any prerequisites?
-What terms is [COURSE] typically offered?
-Which terms is [COURSE] offered?
-Does [COURSE] require consent of instructor?
-Can I get into [COURSE] with instructor's consent?
-What are the prerequisites for [COURSE]?
-What classes do I have to take before [COURSE]?
-What are the recommended prerequisites for [COURSE]?
-What classes do I need in order to take [COURSE]?
-Which classes have [COURSE] as a prerequisite?
-Does [COURSE] have an upper divisional prerequisite?
-Do I need a C- or better in [COURSE] to take any other classes?
-What is the shortest path to taking [COURSE]?
-Which classes require [COURSE] standing?
-Which classes do not require [COURSE] standing?
-When do most people take [COURSE]?
-Is [COURSE] limited in total credit?
-Can I select [COURSE] as a tech elective?
-What is the structure of [COURSE]?
-How many units is [COURSE]?
-Is [COURSE] crosslisted in another department?
-Is [COURSE] credit/no credit grading only?
-What topics are covered in [COURSE]?
-What is the course title for [COURSE]?
-What is [COURSE] also called?
-What is the name of [COURSE]?
-What is the course code for [COURSE]?
-Does [COURSE] include group work?
-Is [COURSE] project based?
-What class should I take after [COURSE]?
-What classes build off [COURSE]?
-Which classes are most similar to [COURSE]?
-What classes should I take with [COURSE]?
-How many units do I need to take to be considered a [COURSE]?
-Can I take [COURSE] credit no credit?
-Can I take [COURSE] pass-fail?
-Is [COURSE] a required course?
-Do I have to take [COURSE]?
-How many hours a week is [COURSE]?
-How much time is spent in [COURSE] per week?
-How many times is [COURSE] offered per year?
-In how many quarters is [COURSE] offered?
-When is [COURSE] offered?
-When is [COURSE] available?
-When can I take [COURSE]?
-Does [COURSE] fulfill more than one requirement?
-Can I use [COURSE] to fulfill more than one requirement?
-How many units does [COURSE] have?
-How many units does [COURSE] fulfill?
-What does [COURSE] fulfill?
-Does [COURSE] fulfill anything?
-What requirements does [COURSE] fulfill?
-How many lectures does [COURSE] have?
-How many times a week does [COURSE] week?
-How many lectures make up [COURSE]?
-Does [COURSE] have a lab?
-Do I have to take a lab with [COURSE]?
-How many labs does [COURSE] have?
-How many prerequisites does [COURSE] have?
-Are there any prerequisites for [COURSE]?
-What classes can I take instead of [COURSE]?
-What are alternatives to [COURSE]?
-Are there any alternatives for [COURSE]?
-How many alternative does [COURSE] Have?
-Can I take something else instead of [COURSE]?
-What courses substitute [COURSE]?
-What STAT courses have [COURSE] as a prereq?
-What courses do you need to take before taking [COURSE]?
-Does [COURSE] have any preqs?
-Is [COURSE] being offered this quarter?
-Can I take [COURSE] this quarter?
-Do I need to take [COURSE] to major in Statistics?
-Is [COURSE] necessary to get a stats degree?
-When's the next time I can take [COURSE]?
-Is [COURSE] being offered soon?
-Does [COURSE] help me get a stats minor?
-Does [COURSE] contribute to my stats minor?
-Has [COURSE] ever been offered by the stats department?
-When has [COURSE] been offered?
-What class is [COURSE]?
-What is the description of [COURSE]?
-What do you learn in [COURSE]?
-What term is [COURSE] typically offered?
-When is [COURSE] usually offered?
-Does [COURSE] fulfill any GE requirements?
-How many prerequisite classes are needed for me to take [COURSE]?
-List classes below [COURSE].
-List classes above [COURSE].
-Does [COURSE] require any MATH classes?
-Which classes have a [COURSE] prerequisite?
-Does [COURSE] require instructor approval?
-Is [COURSE] being offered next quarter?
-Is [COURSE] a graduate level course?
-Is [COURSE] a undergraduate level course?
-Does [COURSE] have non-statistics prerequisites?
-Does [COURSE] have non-statistics and non-math prerequisites?
-Is [COURSE] part of the data science minor?
-What teachers teach [COURSE] this quarter?
-What teachers have taught [COURSE] in the past?
-Does [COURSE] require programming experience?
-When should [COURSE] be taken based on the stat flowchart?
-Are there sections for [COURSE] that are open next quarter?
-Who is the highest ranked teacher teaching [COURSE]?
-Who is the lowest ranked teacher teaching [COURSE]?
-What data science minor courses have [COURSE] as a prerequisite?
-Do I need [COURSE] to complete the data science minor?
-Is [COURSE] an upper level or lower level course?
-When was the last time [COURSE] was offered?
-Is [COURSE] an upper level course?
-Is [COURSE] a lower level course?
-When should I take [COURSE]?
-What is [COURSE]?
-Does the department offer [COURSE].
-What will I learn in [COURSE]?
-Is there a class on [COURSE]?.
-Are there any workshops or study sessions available for [COURSE]?
-What courses are needed to take [COURSE]?
-How much credits is [COURSE] worth?
-What is the number for [COURSE]?
-What courses have [COURSE] as a prerequisite?
-What comes after [COURSE]?
-What is the description for [COURSE]?
-Who should I take [COURSE] with?
-Who typically teaches [COURSE]?
-Does [COURSE] have any non CS/SE prerequisites?
-Is [COURSE] offered on a Credit/No Credit basis?
-Is there a grade prerequesite for [COURSE]?
-Does [COURSE] have any corequisites?
-Does [COURSE] have any concurrent enrollements?
-How is [COURSE] listed?
-Who is the best professor for [COURSE] with?
-Which professors have taught [COURSE]?
-Which quarter is [COURSE] typically offered?
-Does [COURSE] have a prerequisite from another department?
-What course number does [COURSE] have?
-What course name does [COURSE] have?
-How many units of lab does [COURSE] have?
-Are there any recommended classes for [COURSE]?
-Is [COURSE] corsslisted?
-Which departments does [COURSE] have prerequisites in?
-On what level is [COURSE]?
-Which courses require [COURSE]
-Who is the best professor to take for [COURSE]?
-Who teaches [COURSE]?
-Who is usually the professor for [COURSE]?
-Who has taught [COURSE] in the past?
-What is the highest rated polyrating professor for [COURSE]?
-What is the highest rated polyrating professor that is currently teaching [COURSE]?
-What is the highest rated polyrating professor that taught [COURSE] last quarter?
-What is the highest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
-What is the lowest rated polyrating professor for [COURSE]?
-What is the lowest rated polyrating professor that is currently teaching [COURSE]?
-What is the lowest rated polyrating professor that taught [COURSE] last quarter?
-What is the lowest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
-How many professors teach [COURSE]?
-Which professors teach [COURSE]?
-What professor(s) typically teach [COURSE]?
-What professor(s) teach [COURSE] this quarter?
-Which professors are teaching [COURSE] next quarter?
-Who are the professors teaching [COURSE] next quarter?
-Can I get tutoring in [COURSE]?
-Is tutoring available for [COURSE]?
-Is tutoring provided for [COURSE]?
-"During Stat tutoring, can I get help with [COURSE]"
-What courses is [PROF] teaching this quarter?
-What courses is [PROF] teaching next quarter?
-What is [PROF] schedule like this quarter?
-What is [PROF] schedule like next quarter?
-How many courses is [PROF] teaching?
-What are [PROF]'s research areas?
-How many research areas does [PROF] have?
-How many proposals has [PROF] written at Cal Poly?
-Does [PROF] have a website?
-What is [PROF]'s website?
-Where can I learn more about [PROF]?
-Does [PROF] have a Cal Poly website?
-What classes does [PROF] teach?
-What buildings does [PROF] teach in?
-How many students does [PROF] currently teach between all their classes?
-What time are all [PROF]'s classes taught?
-What classes are [PROF] teaching next quarter?
-When are [PROF]'s office hours?
-Does [PROF] have office hours right now?
-Does [PROF] have office hours later today?
-Does [PROF] have office hours tomorrow?
-Where is [PROF]'s office?
-How many office hours does [PROF] have this week?
-What is [PROF]'s email?
-How can I email [PROF]?
-What is the email of [PROF]?
-Is [PROF]'s email listed?
-What is [PROF]'s average PolyRating?
-What classes does [PROF] have PolyRatings for?
-How many PolyRatings does [PROF] have?
-Is [PROF] reviewed on PolyRatings?
-Does [PROF] have a PolyRating?
-When is the most recent PolyRating for [PROF]?
-What level of professor is [PROF]?
-List all [PROF] level professors.
-Is [PROF] a professor at Cal Poly?
-What is professor [PROF]'s first name?
-Does [PROF] currently teach at Cal Poly?
-What is [PROF]'s phone number?
-What is the phone number for [PROF]?
-How many phone numbers are listed for [PROF]?
-Does [PROF] have a phone number listed?
-Is there a phone number listed for [PROF]?
-Which courses does [PROF] teach?
-What is [PROF]'s poly rating?
-Is [PROF] a faculty advisor?
-What are the research interests of [PROF]?
-What research areas are [PROF] interested in?
-What is [PROF] researching?
-What is the average polyrating of [PROF]?
-What is [PROF] rated on polyratings?
-How good of a professor is [PROF]?
-Is [PROF] a good professor?
-Is [PROF] well liked?
-Which of [PROF] has the highest polyrating?
-What is the URL for [PROF]'s polyratings?
-How many different classes will [PROF] teach next quarter?
-What courses has [PROF] taught?
-What courses does [PROF] teach?
-What is [PROF] teaching this quarter?
-Is [PROF] teaching any classes this quarter?
-Where is [PROF] teaching right now?
-Where will [PROF] be teaching next?
-Where did [PROF] go to school?
-What degrees does [PROF] have?
-What schools has [PROF] attended?
-Who are the [PROF] in the CSSE program at Cal Poly?
-What school did [PROF] get their degree from?
-How many degrees does [PROF] have?
-How long has [PROF] taught at Cal Poly?
-What year did [PROF] start at Cal Poly?
-When did [PROF] start teaching at Cal Poly?
-Did [PROF] study at Cal Poly?
-When was [PROF] a professor at Cal Poly?
-What is the highest degree of [PROF]?
-Where did [PROF] get their most recent degree?
-What is [PROF]'s highest degree?
-Is [PROF] still working at Cal Poly?
-Does [PROF] still teach at Cal Poly?
-Has there ever been a professor [PROF] in Cal Poly CSSE?
-Did [PROF] ever teach in the computer science department?
-What published research projects does [PROF] have?
-How many research papers has [PROF] submitted for Cal Poly?
-What papers has [PROF] contributed to the Cal Poly Digital Commons?
-Has [PROF] published any papers?
-What research papers has [PROF] written?
-What senior projects has [PROF] advised?
-How many senior projects has [PROF] advised?
-What senior projects did [PROF] advise last year?
-Whose senior projects has [PROF] advised?
-What is the average length of papers published by [PROF]?
-Where can I learn more about [PROF]'s research?
-In what journals has [PROF] been published?
-What journals has [PROF] published papers in?
-How can I contact [PROF]?
-What is [PROF]'s contact information?
-What number do I call to reach [PROF]?
-How can I reach [PROF]?
-In what room is [PROF]'s office?
-Where can I find [PROF]'s website?
-Does [PROF] have a personal website?
-What is [PROF]'s home page?
-What is the email address of [PROF]?
-What is the office of [PROF]?
-What are the names and emails of all computer science [PROF]?
-Who are the computer science [PROF]s at Cal Poly?
-Who shares an office with [PROF]?
-Does anyone share an office with [PROF]?
-What time are [PROF]'s office hours?
-When can I visit [PROF]'s office?
-Is [PROF] hosting office hours right now?
-Is [PROF] in their office now?
-What is the job title of [PROF]?
-Is [PROF] a lecturer or a professor?
-What is the position of [PROF]?
-What is [PROF]'s job at Cal Poly?
-"In the CSSE department, how many faculty members are [PROF]?"
-How many computer science [PROF] are there at Cal Poly?
-Who are the professors with the last name [PROF]?
-Where is [PROF] right now?
-"At the moment, where is [PROF]?"
-Where is [PROF] currently?
-Where is the next place I can find [PROF]?
-When can I next find [PROF] on campus?
-What are [PROF]'s personal interests?
-What are [PROF]'s professional distinctions?
-Where did [PROF] get their BS?
-Which school did [PROF] get their BS at?
-Which school did [PROF] get their Master's at?
-Where did [PROF] get their Master's?
-Where did [PROF] get their doctorate?
-Which school did [PROF] get their doctorate at?
-When did [PROF] get their BS?
-What year did [PROF] get their BS?
-When did [PROF] get their Master's?
-What year did [PROF] get their Master's?
-When did [PROF] get their doctorate?
-What year did [PROF] get their doctorate?
-What is [PROF]'s title?
-What is the title of [PROF]?
-What is the phone number of [PROF]?
-What building is [PROF]'s office in?
-What time does [PROF] have office hours today?
-What days does [PROF] have office hours?
-Which professors neighbor [PROF]?
-How many professors neighbor [PROF]?
-When will [PROF] be at his/her office?
-Is [PROF] at their office right now?
-How many classes is [PROF] teaching this quarter?
-How many classes is [PROF] teaching next quarter?
-How many polyratings does [PROF] have?
-Does [PROF] recognize student difficulties?
-How well does [PROF] recognize student difficulties?
-Does [PROF] present material clearly?
-How clearly does [PROF] present material?
-What grades has [PROF] given out (on polylearn)?
-What is the average polyratings grade for [PROF]?
-What professional distinctions does [PROF] have?
-Does [PROF] have any areas of research?
-What are the Mathematics/Statistics Support Elective options for [MMC]
-What are the approved technical electives for [MMC]
-Which courses will count as approved external electives for [MMC]
-Is taking the GRE required for acceptance into the 4+1 program for [MMC]?
-What classes are availabe to satisfy the pre-requisite technical elective course for [MMC]?
-Which courses will count as approved pre-requisite technical electives for [MMC]
-What [MMC] electives are offered next quarter?
-What are the electives being offered for [MMC] next quarter?
-Which electives are offered for [MMC] for next quarter?
-What courses are required for the [MMC] minor?
-Which courses do I need to take for the [MMC] minor?
-How many units are required to obtain the 4+1 blended BS/MS degree for [MMC]?
-What courses are required for the [MMC] concentration?
-Which courses do I need to take for the [MMC] concentration?
-What are the life science support elective options for [MMC]
-What are the support course options for [MMC]?
-Which courses are part of the [MMC]?
-Which courses are optional for [MMC]?
-Which courses in [MMC] can I skip through AP Credit?
-Which courses in [MMC] can I skip through IB Credit?
-Which minor or concentration adds the least amount of graduation time to the [MMC]?
-How many general education courses do I need to take for the [MMC] major?
-How many support courses do I need to take for the [MMC] major?
-What is the units break down for [MMC] major?
-How many GE units do I need for the [MMC] major?
-How many support units do I need for the [MMC] major?
-How many units do I need for the [MMC] major?
-"In order to complete the [MMC] major, how many units will I need?"
-How many units do I need for the [MMC] minor?
-How many units does the [MMC] require?
-How many classes per quarter do I have to take for [MMC]?
-How many concentrations are there in [MMC]?
-How many courses are required for [MMC]?
-Can I double major with [MMC]?
-What are the degree requirements for [MMC]?
-How many students are enrolled in [MMC]?
-Is there a BS/MS blend with [MMC]?
-How many units are required for [MMC]?
-Does an inquiry need to be submitted to switch into [MMC]
-What are the minimum requirements to switch into [MMC]
-Does [MMC] contain any free electives?
-What courses are needed to obtain [MMC]
-Is there a GPA requirement to enroll in [MMC]
-How many tech electives are required for [MMC]?
-What are the general education categories required for [MMC] majors?
-Are there any [MMC] classes that can be taken by credit/no credit?
-Can any technical electives for [MMC] be taken by credit/no credit?
-How many GEs do I have to take in [MMC]?
-How many general educations do I have to take in [MMC]?
-How many general education classes do I have to take in [MMC]?
-How many units of electives do I need for [MMC]?
-What is the total number of units of electives needed to graduate in [MMC]?
-How many approved electives do I have to take for the [MMC]?
-What are the approved electives I can take for a [MMC]?
-What are the program educational objectives for the [MMC]?
-What are the learning outcomes of [MMC]?
-What are the learning outcomes for [MMC]?
-What are the [MMC] courses?
-What are the courses required for [MMC]?
-How many courses do we have in [MMC]?
-What are some [MMC] resources that are available?
-What resources are there for [MMC]?
-Where can I get advising for a [MMC]?
-What are the course numbers that are considered independent study in [MMC]?
-How many units do I need for a [MMC]?
-What are the steps to apply for the [MMC]?
-How do I apply for a [MMC]?
-What are the required courses for the [MMC]?
-What are the prerequisites for the [MMC]?
-Where can I get the application for the [MMC]?
-Where can I get the flowchart for the [MMC]?
-What courses should I take each quarter for the [MMC]?
-How many classes do I have to take for [MMC]?
-What is the total number of classes needed to graduate in [MMC]?
-How do I declare [MMC] concentration?
-Who are the minor advisors for [MMC]?
-Who can I contact to get more information about the [MMC]?
-Who can I contact if I have questions about [MMC]?
-Who will help me if I have doubts about [MMC]?
-Where can I get the flowchart for [MMC]?
-What are the GE area required for [MMC]?
-What are the undergraduate courses for [MMC]?
-What are the graduate courses for [MMC]?
-How many GE areas have to be completed for [MMC]?
-What minor would make more sense with [MMC]
-"At best, how long last [MMC]?"
-How many years are necessary to graduate from [MMC]?
-What are the tech electives for [MMC]?
-What courses are electives for [MMC]?
-What electives can I take to get a [MMC]?
-What courses are credit not allowed for [MMC]?
-What are the program objectives of [MMC]?
-How many people are in the classes for [MMC]?
-Who accredits the [MMC]?
-What are the prerequisites for [MMC]?
-Is there a [MMC] Minor?
-What is the [MMC] Minor?
-Is [MMC] a part of another department?
-Who is the advisor for [MMC]?
-How many units to get a Minor in [MMC]?
-How many prerequisites are there for [MMC]?
-How many students take [MMC]?
-Will [MMC] help me get a job?
-How many classes would I have to take to get a Minor in [MMC]?
-How do I learn more about [MMC]?
-Which classes are crosslisted in [DEPT]?
-What [DEPT] courses are required?
-What classes are required from [DEPT]?
-How many [DEPT] courses are required?
-How many courses from [DEPT] are required?
-How many classes of [DEPT] do I have to complete?
-What clubs does the [DEPT] department offer?
-How many clubs are in the [DEPT] department?
-What types of clubs does the [DEPT] department offer?
-How do you sign up to be a [DEPT] tutor?
-What accreditations does [DEPT] have?
-What college does [DEPT] belong to?
-What positions are available in [DEPT]?
-Can I get a job at Cal Poly in [DEPT]?
-Who is the advisor of the [CLUB] club?
-What is the email of the President of the [CLUB] club?
-What type of club is the [CLUB] club?
-What is the email for the advisor of the [CLUB] club?
-What is the [CLUB] club?
-What is the homepage of the [CLUB] club?
-What is the box number of the [CLUB] club?
-What is the email for the [CLUB] club?
-What are the social media accounts for the [CLUB] club?
-How many people follow the [CLUB] club's Facebook page?
-Are there any new posts on the [CLUB] club's Facebook page?
-What is the next event for [CLUB]?
-When is the next event for [CLUB]?
-Who are the officers for [CLUB] club?
-When are the meetings for [CLUB] club?
-When is the next meeting for [CLUB] club?
-Where is [CLUB] located?
-Does [CLUB] have their own room?
-What college is affiliated with the [CLUB] club?
-What are some past events of the [CLUB] club?
-What was the last event of the [CLUB] club?
-When was the last event of [CLUB] club?
-Who is the president of the [CLUB] club?
-Who is the vice president of the [CLUB] club?
-Who is the secretary of the [CLUB] club?
-Who is the treasurer of the [CLUB] club?
-How can I contact [CLUB]?
-What is the phone number of the President of the [CLUB] club?
-What is the phone number of the Advisor of the [CLUB] club?
-How many people posted on the [CLUB] club's Facebook page in the past 30 days?
-How many people joined the [CLUB] club's Facebook page in the past 30 days?
-What resources are used by the [CLUB] club?
-How many followers does the [CLUB] club's Instagram account have?
-How many accounts does the [CLUB]'s Instagram follow?
-When was the [CLUB] established?
-Does the [CLUB] have an office?
-Where is the office of the [CLUB]?
-How many officers does the [CLUB] have?
-How many teams does the [CLUB] have?
-Where will the next event of the [CLUB] be held?
-When will the next event of the [CLUB] be held?
-How many events does the [CLUB] have next week?
-What is the next event of the [CLUB]?
-What is the website link for [CLUB]?
-Is there a website for [CLUB]?
-How do I learn more about [CLUB]?
-What does [CLUB] do?
-Who should I contact for [CLUB]?
-Is there a contact for [CLUB]?
-What is the location of [CLUB]?
-Where is [CLUB]?
-Where can I visit [CLUB] online?
-What is the URL for [CLUB]?
-Can you describe the [CLUB]?
-Could you give me a brief overview of [CLUB]?
-Who is the chief contact for [CLUB]?
-Who should I get in touch with for [CLUB]?
-What is the general contact information for [CLUB]?
-Who is the club adviser for [CLUB]?
-What teachers teach a class in [SECRET_HIDEOUT]?
-Which classes are taught in [SECRET_HIDEOUT]?
-Do any teachers have office hours in [SECRET_HIDEOUT]?
-What professors have offices in [SECRET_HIDEOUT]?
-Which professors have office hours in [SECRET_HIDEOUT]?
-Who are the professors with office hours in [SECRET_HIDEOUT]?
-Whose office is in [SECRET_HIDEOUT]?
-Which professors have offices in building [SECRET_HIDEOUT]?
-How many professors have offices in building [SECRET_HIDEOUT]?

From ba7418919936332845bbb03bde9ac237cb17e9dd Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Mon, 27 Apr 2020 15:04:07 -0700
Subject: [PATCH 181/272] retrained model; global variable fixes in
 flask_api.py

---
 Entity/ProfessorSectionView.py                |   5 +-
 Entity/Profs.py                               |   6 +-
 database_wrapper.py                           | 114 ++++++++++-------
 flask_api.py                                  |  79 ++++++++----
 .../nlp-model_04_27_2020_15_01_49.pkl         | Bin 0 -> 238265 bytes
 .../models/features/overall_features.json     |   2 +-
 nimbus_nlp/question_classifier.py             | 121 +-----------------
 7 files changed, 141 insertions(+), 186 deletions(-)
 create mode 100644 nimbus_nlp/models/classification/nlp-model_04_27_2020_15_01_49.pkl

diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
index 68ded0c..31bb73d 100644
--- a/Entity/ProfessorSectionView.py
+++ b/Entity/ProfessorSectionView.py
@@ -16,10 +16,9 @@ class SectionType(enum.Enum):
 
 class ProfessorSectionView(Base):
     __tablename__ = "Professor_Teaches_Section"
-    id = Column(Integer, primary_key=True)
     id_sections = Column(Integer)
     profAliasId = Column(Integer)
-    section_name = Column(String(255))
+    section_name = Column(String(255), primary_key=True)
     instructor = Column(String(255))
     profEmailAlias = Column(String(255))
     title = Column(String(255))
@@ -43,4 +42,4 @@ def __repr__(self):
             f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
         ]
         attributes_string = ", ".join(attributes)
-        return f"{self.__class__.__name__}({attributes_string})"
+        return f"{self.__class__.__name__}({attributes_string})"
\ No newline at end of file
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 61a308e..739278c 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -7,11 +7,11 @@
 
 class Profs(Base):
     __tablename__ = "Profs"
-    firstName = Column(String(50), primary_key=True)
+    firstName = Column(String(50))
     lastName = Column(String(50))
     phoneNumber = Column(String(20))
     researchInterests = Column(Text)
-    email = Column(String(255))
+    email = Column(String(255), primary_key=True)
     OfficeHours = Column(Text)
     Platform = Column(Text)
     LatestQuarter = Column(Text)
@@ -25,4 +25,4 @@ def __repr__(self):
             f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
         ]
         attributes_string = ", ".join(attributes)
-        return f"{self.__class__.__name__}({attributes_string})"
+        return f"{self.__class__.__name__}({attributes_string})"
\ No newline at end of file
diff --git a/database_wrapper.py b/database_wrapper.py
index 10cf22f..529cd89 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -30,6 +30,7 @@
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
 from Entity.Profs import Profs
+from Entity.ProfessorSectionView import ProfessorSectionView
 
 from fuzzywuzzy import fuzz
 
@@ -41,7 +42,7 @@
 RESET_COLOR_CODE = "\033[00m"
 
 UNION_ENTITIES = Union[
-    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair
+    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair, ProfessorSectionView
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
@@ -52,6 +53,7 @@
     Profs: {"firstName", "lastName"},
     Clubs: {"club_name"},
     Sections: {"section_name"},
+    ProfessorSectionView: {"firstName", "lastName"},
 }
 
 EXPECTED_KEYS_BY_ENTITY = {
@@ -87,14 +89,14 @@
         'raw_events_text',
     ],
     Courses: [
-            'dept',
-            'courseNum',
-            'courseName',
-            'units',
-            'raw_prerequisites_text',
-            'raw_concurrent_text',
-            'raw_recommended_text',
-            'termsOffered',
+        'dept',
+        'courseNum',
+        'courseName',
+        'units',
+        'raw_prerequisites_text',
+        'raw_concurrent_text',
+        'raw_recommended_text',
+        'termsOffered',
     ],
     Locations: ["building_number", "name", "longitude", "latitude"],
     Sections: [
@@ -118,7 +120,7 @@
         "question_format",
         "answer_format",
     ],
-    QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
+    QueryFeedback: ["question", "answer", "answer_type", "timestamp", ],
 }
 
 
@@ -205,11 +207,11 @@ def __init__(self, config_file: str = "config.json") -> None:
 
     @abstractmethod
     def get_property_from_entity(
-        self,
-        prop: List[str],
-        entity: str,
-        condition_field: Optional[str] = None,
-        condition_value: Optional[str] = None,
+            self,
+            prop: List[str],
+            entity: str,
+            condition_field: Optional[str] = None,
+            condition_value: Optional[str] = None,
     ) -> List[str]:
         """A high-order function to get properties from objects in the database.
 
@@ -236,14 +238,14 @@ def get_property_from_entity(
 
     @abstractmethod
     def get_property_from_related_entities(
-        self,
-        prop: List[str],
-        entity1: str,
-        entity2: str,
-        key1: str,
-        key2: Optional[str] = None,
-        condition_field: Optional[str] = None,
-        condition_value: Optional[str] = None,
+            self,
+            prop: List[str],
+            entity1: str,
+            entity2: str,
+            key1: str,
+            key2: Optional[str] = None,
+            condition_field: Optional[str] = None,
+            condition_value: Optional[str] = None,
     ) -> List[str]:
         """A higher-order function to ????
 
@@ -362,6 +364,7 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.Profs = Profs
         self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
+        self.ProfessorSectonView = ProfessorSectionView
         self.QuestionAnswerPair = QuestionAnswerPair
         self.inspector = inspect(self.engine)
         self._create_database_session()
@@ -435,6 +438,7 @@ def __safe_create(SQLAlchemy_object):
         __safe_create(self.AudioSampleMetaData)
         __safe_create(self.Locations)
         __safe_create(self.QuestionAnswerPair)
+        __safe_create(self.ProfessorSectonView)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -478,12 +482,12 @@ def partial_fuzzy_match(self, tag_value, identifier):
     def full_fuzzy_match(self, tag_value, identifier):
         return fuzz.ratio(tag_value, identifier)
 
-    def get_property_from_entity(
-        self,
-        prop: str,
-        entity: UNION_ENTITIES,
-        identifier: str,
-        tag_column_map: dict = default_tag_column_dict,
+    def _get_property_from_entity(
+            self,
+            prop: str,
+            entity: UNION_ENTITIES,
+            identifier: str,
+            tag_column_map: dict = default_tag_column_dict,
     ):
         """
         This function implements the abstractmethod to get a column of values
@@ -532,16 +536,25 @@ def get_property_from_entity(
                 tags.append(str(row.__dict__[tag_prop]))
 
             if total_similarity > MATCH_THRESHOLD:
-                results.append((total_similarity, tags, str(row.__dict__[prop])))
+                results.append(
+                    (total_similarity, tags, str(row.__dict__[prop])))
 
         if len(results) < 1:
             return None
 
         sorted_results = sorted(results, key=lambda pair: pair[0])
-        return sorted_results[-1][2]
+        return sorted_results
+
+    def get_property_from_entity(self,
+                                 prop: str,
+                                 entity: UNION_ENTITIES,
+                                 identifier: str,
+                                 tag_column_map: dict = default_tag_column_dict,
+                                 ):
+        return self._get_property_from_entity(prop, entity, identifier, tag_column_map)[-1][2]
 
     def get_course_properties(
-        self, department: str, course_num: Union[str, int]
+            self, department: str, course_num: Union[str, int]
     ) -> List[Courses]:
         return (
             # sqlalchemy doesn't use type annotations
@@ -549,8 +562,8 @@ def get_course_properties(
             # even so we can expect .all() to return a list
             # so long as there is no error in the MySQL syntax
             self.session.query(Courses)
-            .filter(Courses.dept == department, Courses.courseNum == course_num)
-            .all()
+                .filter(Courses.dept == department, Courses.courseNum == course_num)
+                .all()
         )
 
     def validate_and_format_entity_data(self, entity_type, data_dict: dict):
@@ -582,7 +595,8 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         if entity_type in format_method_by_entity:
             data_dict = format_method_by_entity[entity_type](data_dict)
 
-        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
+        self.validate_input_keys(
+            data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
         return data_dict
 
     def insert_entity(self, entity_type, data_dict: dict) -> bool:
@@ -605,7 +619,8 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
         """
 
         # Get formatted data, entity attributes, and entity object
-        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(
+            entity_type, data_dict)
         entity_attributes = entity_type.__dict__
         entity = entity_type()
 
@@ -672,13 +687,15 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
             raise RuntimeError(msg.format(entity_type))
 
         # Get formatted data and entity attributes
-        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(
+            entity_type, data_dict)
         entity_attributes = entity_type.__dict__
 
         # Run a SELECT query to see if an entity that matches the values under the fields in the filter_fields list exists
         query = self.session.query(entity_type)
         for field in filter_fields:
-            query = query.filter(getattr(entity_type, field) == formatted_data[field])
+            query = query.filter(getattr(entity_type, field)
+                                 == formatted_data[field])
         entity = query.first()
 
         # Logging...
@@ -749,7 +766,8 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             A new, formatted data dictionary
         """
 
-        is_wake_word_by_label = {"ww": True, "nww": False, True: True, False: False}
+        is_wake_word_by_label = {"ww": True,
+                                 "nww": False, True: True, False: False}
 
         noise_level_by_label = {
             "q": NoiseLevel.quiet,
@@ -774,7 +792,8 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             raise BadDictionaryValueError(msg)
 
         if data_dict["noiseLevel"] in noise_level_by_label:
-            data_dict["noise_level"] = noise_level_by_label[data_dict.pop("noiseLevel")]
+            data_dict["noise_level"] = noise_level_by_label[data_dict.pop(
+                "noiseLevel")]
         else:
             msg = "unexpected values for noiseLevel\n"
             msg += "expected 'q' or 'm' or 'l' but got '{}'"
@@ -786,7 +805,7 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
     def format_query_phrase_dict(self, phrases: dict) -> dict:
         """
         Formats query phrase to be saved to the server.
-        
+
         Parameters
         ----------
         `phrases : dict` A question answer pair:
@@ -815,7 +834,7 @@ def __del__(self):
     def format_query_feedback_dict(self, feedback: dict) -> dict:
         """
             Formats query feedback to be saved to the server.
-            
+
             Parameters
             ----------
             `feedback : dict` A query feedback:
@@ -851,6 +870,15 @@ def get_all_answerable_pairs(self):
             qa_entity.question_format, qa_entity.answer_format, qa_entity.can_we_answer
         )
         result = query_session.all()
-        true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
+        true_result = [(pair[0], pair[1])
+                       for pair in result if pair[2] == True]
 
         return true_result
+
+if __name__=="__main__":
+    db = NimbusMySQLAlchemy()
+    print(
+        db._get_property_from_entity("section_name",
+                                     ProfessorSectionView,
+                                     "Braun")
+    )
\ No newline at end of file
diff --git a/flask_api.py b/flask_api.py
index bf45e52..2566782 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -45,9 +45,31 @@
 app = Flask(__name__)
 CORS(app)
 
-# TODO: Initialize these somewhere else
-db = NimbusMySQLAlchemy()
-nimbus = Nimbus(db)
+# NOTE:
+#   1. Flask "@app.route" decorated functions below commonly use a db or nimbus object
+#   2. Because the decorated functions can't take parameters (because they're called by
+#      the flask web server) the database and nimbus objects must be global
+#   3. Instantiating objects at the global level (especially ones that are resource-intensive
+#      to create like db and nimbus objects) is obviously bad practice
+#
+# Due to these points, the very un-Pythonic solution chosen is to initialize these objects as
+# None at the top level, associate them with actual objects in the `initialize*()` functions,
+# and do None checks in the functions below.
+db = None
+nimbus = None
+
+
+def initializeDB():
+    global db
+    if db is None:
+        db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+
+
+def initializeNimbus():
+    global nimbus
+    if nimbus is None:
+        initializeDB()
+        nimbus = Nimbus(db)
 
 
 @app.route("/", methods=["GET", "POST"])
@@ -74,6 +96,8 @@ def handle_question():
         * storage of the logs of this question-answer-session.
     """
 
+    initializeNimbus()
+
     if request.is_json is False:
         return "request must be JSON", BAD_REQUEST
 
@@ -118,7 +142,8 @@ def save_a_recording():
     # Let's also save the filename to the database for quick reference
     formatted_data["filename"] = filename
 
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
+
     try:
         db.save_audio_sample_meta_data(formatted_data)
     except BadDictionaryKeyError as e:
@@ -141,7 +166,8 @@ def save_office_hours():
     """
     Persists list of office hours
     """
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
+
     data = request.get_json()
     for professor in data:
         try:
@@ -179,7 +205,8 @@ def save_query_phrase():
             print("error", err)
             return str(err), BAD_REQUEST
 
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
+
     try:
         phrase_saved = db.insert_entity(QuestionAnswerPair, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -213,7 +240,8 @@ def save_feedback():
             print("error:", err)
             return str(err), BAD_REQUEST
 
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
+
     try:
         feedback_saved = db.insert_entity(QueryFeedback, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -234,8 +262,9 @@ def save_courses():
     """
     Persists list of courses
     """
-    data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+
+    data = request.get_json()
+    initializeDB()
     for course in data["courses"]:
         try:
             db.update_entity(Courses, course, ['dept', 'courseNum'])
@@ -259,8 +288,9 @@ def save_clubs():
     """
     Persists list of clubs
     """
-    data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+
+    data = request.get_json()
+    initializeDB()
     for club in data["clubs"]:
         try:
             db.update_entity(Clubs, club, ['club_name'])
@@ -284,8 +314,9 @@ def save_locations():
     """
     Persists list of locations
     """
-    data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+
+    data = request.get_json()
+    initializeDB()
     for location in data["locations"]:
         try:
             db.update_entity(Locations, location, ['longitude', 'latitude'])
@@ -309,8 +340,9 @@ def save_calendars():
     """
     Persists list of calendars
     """
-    data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+
+    data = request.get_json()
+    initializeDB()
     for calendar in data["calendars"]:
         try:
             db.update_entity(Calendars, calendar, ['date', 'raw_events_text'])
@@ -344,7 +376,8 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(
+        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -364,10 +397,10 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
 
     # Check if the current entity is already within the database
     if (
-        db.get_property_from_entity(
-            prop="Name", entity=entity_type, identifier=current_prof["Name"]
-        )
-        != None
+            db.get_property_from_entity(
+                prop="Name", entity=entity_type, identifier=current_prof["Name"]
+            )
+            != None
     ):
 
         update_office_hours = True
@@ -429,7 +462,8 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     # Update the entity properties if the entity already exists
     if update_office_hours == True:
         db.update_entity(
-            entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"]
+            entity_type=entity_type, data_dict=sql_data, filter_fields=[
+                "Email"]
         )
 
     # Otherwise, add the entity to the database
@@ -478,4 +512,5 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
+            port=gunicorn_config.PORT)
\ No newline at end of file
diff --git a/nimbus_nlp/models/classification/nlp-model_04_27_2020_15_01_49.pkl b/nimbus_nlp/models/classification/nlp-model_04_27_2020_15_01_49.pkl
new file mode 100644
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zk?y&_?HB#9+gYdOI9j$RS$iDoNtWxdpLJThopoA{qh-5o)B5f4O{x2at9pOJ!6>}2
z-hZrrNPbYWH~DX4?~?q;>+bf^?ZMW?;rh<*-qFpiz0vBG!Dx4DV{dVLaP92+`-|bl
zw1KDgH!g2&4%W6$%JjAEjlp6#ydG{Xhws0B%t(Yk^nVFIG<tbCyn-JZUAP`@%MXm6
z;16>5!ktlgHTnV55My_j!@cp?{=$uLbnEE-QTW07&G6d#(kT3JeFZ;PylOD5elXbG
Z+uGR<KU%?$IX`{$S@~c1@&5YJ{{xhZpoahe

literal 0
HcmV?d00001

diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index 680aa08..f8e5aa1 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1 +1 @@
-{"[COURSE]": 0, "are": 0, "what": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "count": 0, "how": 0, "many": 0, "unit": 0, "towards": 0, "offered": 0, "when": 0, "typically": 0, "offer": 0, "is": 0, "quarter": 0, "going": 0, "go": 0, "next": 0, "Is": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "time": 0, "per": 0, "year": 0, "available": 0, "fulfill": 0, "Are": 0, "preqs": 0, "'s": 0, "soon": 0, "description": 0, "learn": 0, "-PRON-": 0, "needed": 0, "much": 0, "credit": 0, "worth": 0, "number": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "list": 0, "lab": 0, "[PROF]": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "researching": 0, "contact": 0, "information": 0, "reach": 0, "where": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "cal": 0, "poly": 0, "building": 0, "[CLUB]": 0, "club": 0, "box": 0, "affiliated": 0, "college": 0, "affiliate": 0, "president": 0, "advisor": 0, "do": 0, "who": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "taught": 0, "teach": 0, "[SECRET_HIDEOUT]": 0, "whose": 0, "In": 0, "does": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "having": 0, "skype": 0, "not related": 0}
\ No newline at end of file
+{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preq": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "office": 0, "room": 0, "in": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "'s": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "advisor": 0, "build": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 30f2a6a..f1367dd 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -3,7 +3,7 @@
 import sklearn.neighbors
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 import json
-from QA import db
+from typing import Tuple
 
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
@@ -12,97 +12,6 @@
 class QuestionClassifier:
     def __init__(self, file_path="question_set_clean.csv"):
         self.classifier = None
-        self.nlp = spacy.load('en_core_web_sm')
-        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
-        self.overall_features = {}
-
-    def train_model(self):
-        self.save_model = save_model
-
-        # The possible WH word tags returned through NLTK part of speech tagging
-
-
-        self.classifier = self.build_question_classifier()
-        save_model(self.classifier, "nlp-model")
-
-
-    def load_latest_classifier(self):
-        self.classifier = load_latest_model()
-        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'r') as fp:
-            self.overall_features = json.load(fp)
-
-    def get_question_features(self, question):
-        # print("using new algorithm")
-        """
-        Method to extract features from each individual question.
-        """
-        features = {}
-
-        # Extract the main verb from the question before additional processing
-        main_verb = str(self.extract_main_verb(question))
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-
-        filtered_words = self.get_lemmas(words)
-
-        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
-        stemmed_main_verb = self.nlp(main_verb)[0]
-        features[stemmed_main_verb.text] = 60
-
-        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
-        # WITH WEIGHT 60
-        words_pos = nltk.pos_tag(filtered_words)
-        for word_pos in words_pos:
-            if self.is_wh_word(word_pos[1]):
-                features[word_pos[0]] = 60
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
-            if word not in features:
-                features[word] = 30
-
-        return features
-
-    def get_question_features_old_algorithm(self, question):
-        print("using old algorithm....")
-        """
-            Method to extract features from each individual question.
-            """
-        features = {}
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-        filtered_words = self.get_lemmas(words)
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        features[filtered_words[0]] = 60
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            features[word] = 30
-
-        return features
 
         # Disable named entity recognition for speed
         self.nlp = spacy.load("en_core_web_sm", disable=["ner"])
@@ -116,20 +25,8 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
         Build overall feature set for each question based on feature vectors of individual questions.
         Train KNN classification model with overall feature set.
         """
-
-
-        # READ QUESTIONS
-        question_list = db.get_all_answerable_pairs()
-        #print(question_list)
-        question_list = [q[0] for q in question_list]
-        questions = pd.DataFrame(question_list, columns = ['questionFormat'])
-        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
-        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
-
-        question_features = questions['features'].values.tolist()
-
-        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
-
+        questions = [q[0] for q in question_pairs]
+        question_features = [self.get_question_features(self.nlp(q)) for q in questions]
         for feature in question_features:
             for key in feature:
                 self.overall_features[key] = 0
@@ -152,9 +49,9 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
 
         return new_classifier
 
-    def train_model(self):
-        self.classifier = self.build_question_classifier()
-        self.save_model(self.classifier, "nlp-model")
+    def train_model(self, question_pairs: Tuple[str, str]):
+        self.classifier = self.build_question_classifier(question_pairs)
+        save_model(self.classifier, "nlp-model")
 
     def load_latest_classifier(self):
         self.classifier = load_latest_model()
@@ -234,8 +131,4 @@ def classify_question(self, question):
         if not wh_words_match:
             return "WH Words Don't Match"
 
-        return predicted_question
-
-
-
-
+        return predicted_question
\ No newline at end of file

From 802d1ddd97f0d8dddabbebdea3dd299d9ffd5ed6 Mon Sep 17 00:00:00 2001
From: Jason Ku <jasonku99@gmail.com>
Date: Sun, 3 May 2020 13:12:52 -0700
Subject: [PATCH 182/272] Update database_wrapper.py

---
 database_wrapper.py | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 529cd89..bd3bd2c 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -640,9 +640,8 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
                     entity_attributes.items(),
                 )
             ).keys()
-        )[1:]
+        )
 
-        # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
         for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
@@ -728,9 +727,8 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
                     entity_attributes.items(),
                 )
             ).keys()
-        )[1:]
+        )
 
-        # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
         for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
@@ -881,4 +879,4 @@ def get_all_answerable_pairs(self):
         db._get_property_from_entity("section_name",
                                      ProfessorSectionView,
                                      "Braun")
-    )
\ No newline at end of file
+    )

From aded41bd2050eb030fc32d3212325505ad27f7c6 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mfekadu@users.noreply.github.com>
Date: Sun, 3 May 2020 13:37:10 -0700
Subject: [PATCH 183/272] Revert "retrained model; global variable fixes in
 flask_api.py"

---
 Entity/ProfessorSectionView.py                |   5 +-
 Entity/Profs.py                               |   6 +-
 database_wrapper.py                           | 120 +++++++----------
 flask_api.py                                  |  79 ++++--------
 .../nlp-model_04_27_2020_15_01_49.pkl         | Bin 238265 -> 0 bytes
 .../models/features/overall_features.json     |   2 +-
 nimbus_nlp/question_classifier.py             | 121 +++++++++++++++++-
 7 files changed, 190 insertions(+), 143 deletions(-)
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_04_27_2020_15_01_49.pkl

diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
index 31bb73d..68ded0c 100644
--- a/Entity/ProfessorSectionView.py
+++ b/Entity/ProfessorSectionView.py
@@ -16,9 +16,10 @@ class SectionType(enum.Enum):
 
 class ProfessorSectionView(Base):
     __tablename__ = "Professor_Teaches_Section"
+    id = Column(Integer, primary_key=True)
     id_sections = Column(Integer)
     profAliasId = Column(Integer)
-    section_name = Column(String(255), primary_key=True)
+    section_name = Column(String(255))
     instructor = Column(String(255))
     profEmailAlias = Column(String(255))
     title = Column(String(255))
@@ -42,4 +43,4 @@ def __repr__(self):
             f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
         ]
         attributes_string = ", ".join(attributes)
-        return f"{self.__class__.__name__}({attributes_string})"
\ No newline at end of file
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 739278c..61a308e 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -7,11 +7,11 @@
 
 class Profs(Base):
     __tablename__ = "Profs"
-    firstName = Column(String(50))
+    firstName = Column(String(50), primary_key=True)
     lastName = Column(String(50))
     phoneNumber = Column(String(20))
     researchInterests = Column(Text)
-    email = Column(String(255), primary_key=True)
+    email = Column(String(255))
     OfficeHours = Column(Text)
     Platform = Column(Text)
     LatestQuarter = Column(Text)
@@ -25,4 +25,4 @@ def __repr__(self):
             f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
         ]
         attributes_string = ", ".join(attributes)
-        return f"{self.__class__.__name__}({attributes_string})"
\ No newline at end of file
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/database_wrapper.py b/database_wrapper.py
index bd3bd2c..10cf22f 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -30,7 +30,6 @@
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
 from Entity.Profs import Profs
-from Entity.ProfessorSectionView import ProfessorSectionView
 
 from fuzzywuzzy import fuzz
 
@@ -42,7 +41,7 @@
 RESET_COLOR_CODE = "\033[00m"
 
 UNION_ENTITIES = Union[
-    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair, ProfessorSectionView
+    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
@@ -53,7 +52,6 @@
     Profs: {"firstName", "lastName"},
     Clubs: {"club_name"},
     Sections: {"section_name"},
-    ProfessorSectionView: {"firstName", "lastName"},
 }
 
 EXPECTED_KEYS_BY_ENTITY = {
@@ -89,14 +87,14 @@
         'raw_events_text',
     ],
     Courses: [
-        'dept',
-        'courseNum',
-        'courseName',
-        'units',
-        'raw_prerequisites_text',
-        'raw_concurrent_text',
-        'raw_recommended_text',
-        'termsOffered',
+            'dept',
+            'courseNum',
+            'courseName',
+            'units',
+            'raw_prerequisites_text',
+            'raw_concurrent_text',
+            'raw_recommended_text',
+            'termsOffered',
     ],
     Locations: ["building_number", "name", "longitude", "latitude"],
     Sections: [
@@ -120,7 +118,7 @@
         "question_format",
         "answer_format",
     ],
-    QueryFeedback: ["question", "answer", "answer_type", "timestamp", ],
+    QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
 }
 
 
@@ -207,11 +205,11 @@ def __init__(self, config_file: str = "config.json") -> None:
 
     @abstractmethod
     def get_property_from_entity(
-            self,
-            prop: List[str],
-            entity: str,
-            condition_field: Optional[str] = None,
-            condition_value: Optional[str] = None,
+        self,
+        prop: List[str],
+        entity: str,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
     ) -> List[str]:
         """A high-order function to get properties from objects in the database.
 
@@ -238,14 +236,14 @@ def get_property_from_entity(
 
     @abstractmethod
     def get_property_from_related_entities(
-            self,
-            prop: List[str],
-            entity1: str,
-            entity2: str,
-            key1: str,
-            key2: Optional[str] = None,
-            condition_field: Optional[str] = None,
-            condition_value: Optional[str] = None,
+        self,
+        prop: List[str],
+        entity1: str,
+        entity2: str,
+        key1: str,
+        key2: Optional[str] = None,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
     ) -> List[str]:
         """A higher-order function to ????
 
@@ -364,7 +362,6 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.Profs = Profs
         self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
-        self.ProfessorSectonView = ProfessorSectionView
         self.QuestionAnswerPair = QuestionAnswerPair
         self.inspector = inspect(self.engine)
         self._create_database_session()
@@ -438,7 +435,6 @@ def __safe_create(SQLAlchemy_object):
         __safe_create(self.AudioSampleMetaData)
         __safe_create(self.Locations)
         __safe_create(self.QuestionAnswerPair)
-        __safe_create(self.ProfessorSectonView)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -482,12 +478,12 @@ def partial_fuzzy_match(self, tag_value, identifier):
     def full_fuzzy_match(self, tag_value, identifier):
         return fuzz.ratio(tag_value, identifier)
 
-    def _get_property_from_entity(
-            self,
-            prop: str,
-            entity: UNION_ENTITIES,
-            identifier: str,
-            tag_column_map: dict = default_tag_column_dict,
+    def get_property_from_entity(
+        self,
+        prop: str,
+        entity: UNION_ENTITIES,
+        identifier: str,
+        tag_column_map: dict = default_tag_column_dict,
     ):
         """
         This function implements the abstractmethod to get a column of values
@@ -536,25 +532,16 @@ def _get_property_from_entity(
                 tags.append(str(row.__dict__[tag_prop]))
 
             if total_similarity > MATCH_THRESHOLD:
-                results.append(
-                    (total_similarity, tags, str(row.__dict__[prop])))
+                results.append((total_similarity, tags, str(row.__dict__[prop])))
 
         if len(results) < 1:
             return None
 
         sorted_results = sorted(results, key=lambda pair: pair[0])
-        return sorted_results
-
-    def get_property_from_entity(self,
-                                 prop: str,
-                                 entity: UNION_ENTITIES,
-                                 identifier: str,
-                                 tag_column_map: dict = default_tag_column_dict,
-                                 ):
-        return self._get_property_from_entity(prop, entity, identifier, tag_column_map)[-1][2]
+        return sorted_results[-1][2]
 
     def get_course_properties(
-            self, department: str, course_num: Union[str, int]
+        self, department: str, course_num: Union[str, int]
     ) -> List[Courses]:
         return (
             # sqlalchemy doesn't use type annotations
@@ -562,8 +549,8 @@ def get_course_properties(
             # even so we can expect .all() to return a list
             # so long as there is no error in the MySQL syntax
             self.session.query(Courses)
-                .filter(Courses.dept == department, Courses.courseNum == course_num)
-                .all()
+            .filter(Courses.dept == department, Courses.courseNum == course_num)
+            .all()
         )
 
     def validate_and_format_entity_data(self, entity_type, data_dict: dict):
@@ -595,8 +582,7 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         if entity_type in format_method_by_entity:
             data_dict = format_method_by_entity[entity_type](data_dict)
 
-        self.validate_input_keys(
-            data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
+        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
         return data_dict
 
     def insert_entity(self, entity_type, data_dict: dict) -> bool:
@@ -619,8 +605,7 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
         """
 
         # Get formatted data, entity attributes, and entity object
-        formatted_data = self.validate_and_format_entity_data(
-            entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
         entity_attributes = entity_type.__dict__
         entity = entity_type()
 
@@ -640,8 +625,9 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
                     entity_attributes.items(),
                 )
             ).keys()
-        )
+        )[1:]
 
+        # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
         for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
@@ -686,15 +672,13 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
             raise RuntimeError(msg.format(entity_type))
 
         # Get formatted data and entity attributes
-        formatted_data = self.validate_and_format_entity_data(
-            entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
         entity_attributes = entity_type.__dict__
 
         # Run a SELECT query to see if an entity that matches the values under the fields in the filter_fields list exists
         query = self.session.query(entity_type)
         for field in filter_fields:
-            query = query.filter(getattr(entity_type, field)
-                                 == formatted_data[field])
+            query = query.filter(getattr(entity_type, field) == formatted_data[field])
         entity = query.first()
 
         # Logging...
@@ -727,8 +711,9 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
                     entity_attributes.items(),
                 )
             ).keys()
-        )
+        )[1:]
 
+        # Ignore the first field, since it's assumed to be a primary key
         # Populate the entity with values from formatted_data
         for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
@@ -764,8 +749,7 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             A new, formatted data dictionary
         """
 
-        is_wake_word_by_label = {"ww": True,
-                                 "nww": False, True: True, False: False}
+        is_wake_word_by_label = {"ww": True, "nww": False, True: True, False: False}
 
         noise_level_by_label = {
             "q": NoiseLevel.quiet,
@@ -790,8 +774,7 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             raise BadDictionaryValueError(msg)
 
         if data_dict["noiseLevel"] in noise_level_by_label:
-            data_dict["noise_level"] = noise_level_by_label[data_dict.pop(
-                "noiseLevel")]
+            data_dict["noise_level"] = noise_level_by_label[data_dict.pop("noiseLevel")]
         else:
             msg = "unexpected values for noiseLevel\n"
             msg += "expected 'q' or 'm' or 'l' but got '{}'"
@@ -803,7 +786,7 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
     def format_query_phrase_dict(self, phrases: dict) -> dict:
         """
         Formats query phrase to be saved to the server.
-
+        
         Parameters
         ----------
         `phrases : dict` A question answer pair:
@@ -832,7 +815,7 @@ def __del__(self):
     def format_query_feedback_dict(self, feedback: dict) -> dict:
         """
             Formats query feedback to be saved to the server.
-
+            
             Parameters
             ----------
             `feedback : dict` A query feedback:
@@ -868,15 +851,6 @@ def get_all_answerable_pairs(self):
             qa_entity.question_format, qa_entity.answer_format, qa_entity.can_we_answer
         )
         result = query_session.all()
-        true_result = [(pair[0], pair[1])
-                       for pair in result if pair[2] == True]
+        true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
 
         return true_result
-
-if __name__=="__main__":
-    db = NimbusMySQLAlchemy()
-    print(
-        db._get_property_from_entity("section_name",
-                                     ProfessorSectionView,
-                                     "Braun")
-    )
diff --git a/flask_api.py b/flask_api.py
index 2566782..bf45e52 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -45,31 +45,9 @@
 app = Flask(__name__)
 CORS(app)
 
-# NOTE:
-#   1. Flask "@app.route" decorated functions below commonly use a db or nimbus object
-#   2. Because the decorated functions can't take parameters (because they're called by
-#      the flask web server) the database and nimbus objects must be global
-#   3. Instantiating objects at the global level (especially ones that are resource-intensive
-#      to create like db and nimbus objects) is obviously bad practice
-#
-# Due to these points, the very un-Pythonic solution chosen is to initialize these objects as
-# None at the top level, associate them with actual objects in the `initialize*()` functions,
-# and do None checks in the functions below.
-db = None
-nimbus = None
-
-
-def initializeDB():
-    global db
-    if db is None:
-        db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-
-
-def initializeNimbus():
-    global nimbus
-    if nimbus is None:
-        initializeDB()
-        nimbus = Nimbus(db)
+# TODO: Initialize these somewhere else
+db = NimbusMySQLAlchemy()
+nimbus = Nimbus(db)
 
 
 @app.route("/", methods=["GET", "POST"])
@@ -96,8 +74,6 @@ def handle_question():
         * storage of the logs of this question-answer-session.
     """
 
-    initializeNimbus()
-
     if request.is_json is False:
         return "request must be JSON", BAD_REQUEST
 
@@ -142,8 +118,7 @@ def save_a_recording():
     # Let's also save the filename to the database for quick reference
     formatted_data["filename"] = filename
 
-    initializeDB()
-
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     try:
         db.save_audio_sample_meta_data(formatted_data)
     except BadDictionaryKeyError as e:
@@ -166,8 +141,7 @@ def save_office_hours():
     """
     Persists list of office hours
     """
-    initializeDB()
-
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     data = request.get_json()
     for professor in data:
         try:
@@ -205,8 +179,7 @@ def save_query_phrase():
             print("error", err)
             return str(err), BAD_REQUEST
 
-    initializeDB()
-
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     try:
         phrase_saved = db.insert_entity(QuestionAnswerPair, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -240,8 +213,7 @@ def save_feedback():
             print("error:", err)
             return str(err), BAD_REQUEST
 
-    initializeDB()
-
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     try:
         feedback_saved = db.insert_entity(QueryFeedback, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -262,9 +234,8 @@ def save_courses():
     """
     Persists list of courses
     """
-
-    data = request.get_json()
-    initializeDB()
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for course in data["courses"]:
         try:
             db.update_entity(Courses, course, ['dept', 'courseNum'])
@@ -288,9 +259,8 @@ def save_clubs():
     """
     Persists list of clubs
     """
-
-    data = request.get_json()
-    initializeDB()
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for club in data["clubs"]:
         try:
             db.update_entity(Clubs, club, ['club_name'])
@@ -314,9 +284,8 @@ def save_locations():
     """
     Persists list of locations
     """
-
-    data = request.get_json()
-    initializeDB()
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for location in data["locations"]:
         try:
             db.update_entity(Locations, location, ['longitude', 'latitude'])
@@ -340,9 +309,8 @@ def save_calendars():
     """
     Persists list of calendars
     """
-
-    data = request.get_json()
-    initializeDB()
+    data = json.loads(request.get_json())
+    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
     for calendar in data["calendars"]:
         try:
             db.update_entity(Calendars, calendar, ['date', 'raw_events_text'])
@@ -376,8 +344,7 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(
-        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -397,10 +364,10 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
 
     # Check if the current entity is already within the database
     if (
-            db.get_property_from_entity(
-                prop="Name", entity=entity_type, identifier=current_prof["Name"]
-            )
-            != None
+        db.get_property_from_entity(
+            prop="Name", entity=entity_type, identifier=current_prof["Name"]
+        )
+        != None
     ):
 
         update_office_hours = True
@@ -462,8 +429,7 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     # Update the entity properties if the entity already exists
     if update_office_hours == True:
         db.update_entity(
-            entity_type=entity_type, data_dict=sql_data, filter_fields=[
-                "Email"]
+            entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"]
         )
 
     # Otherwise, add the entity to the database
@@ -512,5 +478,4 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT)
\ No newline at end of file
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
diff --git a/nimbus_nlp/models/classification/nlp-model_04_27_2020_15_01_49.pkl b/nimbus_nlp/models/classification/nlp-model_04_27_2020_15_01_49.pkl
deleted file mode 100644
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GIT binary patch
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diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index f8e5aa1..680aa08 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1 +1 @@
-{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preq": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "office": 0, "room": 0, "in": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "'s": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "advisor": 0, "build": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "not related": 0}
\ No newline at end of file
+{"[COURSE]": 0, "are": 0, "what": 0, "prereqs": 0, "required": 0, "which": 0, "course": 0, "require": 0, "take": 0, "count": 0, "how": 0, "many": 0, "unit": 0, "towards": 0, "offered": 0, "when": 0, "typically": 0, "offer": 0, "is": 0, "quarter": 0, "going": 0, "go": 0, "next": 0, "Is": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "covered": 0, "topic": 0, "cover": 0, "title": 0, "called": 0, "also": 0, "call": 0, "name": 0, "code": 0, "time": 0, "per": 0, "year": 0, "available": 0, "fulfill": 0, "Are": 0, "preqs": 0, "'s": 0, "soon": 0, "description": 0, "learn": 0, "-PRON-": 0, "needed": 0, "much": 0, "credit": 0, "worth": 0, "number": 0, "corequisit": 0, "concurrent": 0, "enrollement": 0, "listed": 0, "list": 0, "lab": 0, "[PROF]": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "researching": 0, "contact": 0, "information": 0, "reach": 0, "where": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "cal": 0, "poly": 0, "building": 0, "[CLUB]": 0, "club": 0, "box": 0, "affiliated": 0, "college": 0, "affiliate": 0, "president": 0, "advisor": 0, "do": 0, "who": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "taught": 0, "teach": 0, "[SECRET_HIDEOUT]": 0, "whose": 0, "In": 0, "does": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "having": 0, "skype": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index f1367dd..30f2a6a 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -3,7 +3,7 @@
 import sklearn.neighbors
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 import json
-from typing import Tuple
+from QA import db
 
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
@@ -12,6 +12,97 @@
 class QuestionClassifier:
     def __init__(self, file_path="question_set_clean.csv"):
         self.classifier = None
+        self.nlp = spacy.load('en_core_web_sm')
+        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
+        self.overall_features = {}
+
+    def train_model(self):
+        self.save_model = save_model
+
+        # The possible WH word tags returned through NLTK part of speech tagging
+
+
+        self.classifier = self.build_question_classifier()
+        save_model(self.classifier, "nlp-model")
+
+
+    def load_latest_classifier(self):
+        self.classifier = load_latest_model()
+        with open(PROJECT_DIR+ '/models/features/overall_features.json', 'r') as fp:
+            self.overall_features = json.load(fp)
+
+    def get_question_features(self, question):
+        # print("using new algorithm")
+        """
+        Method to extract features from each individual question.
+        """
+        features = {}
+
+        # Extract the main verb from the question before additional processing
+        main_verb = str(self.extract_main_verb(question))
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
+        stemmed_main_verb = self.nlp(main_verb)[0]
+        features[stemmed_main_verb.text] = 60
+
+        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
+        # WITH WEIGHT 60
+        words_pos = nltk.pos_tag(filtered_words)
+        for word_pos in words_pos:
+            if self.is_wh_word(word_pos[1]):
+                features[word_pos[0]] = 60
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
+            if word not in features:
+                features[word] = 30
+
+        return features
+
+    def get_question_features_old_algorithm(self, question):
+        print("using old algorithm....")
+        """
+            Method to extract features from each individual question.
+            """
+        features = {}
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+        filtered_words = self.get_lemmas(words)
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        features[filtered_words[0]] = 60
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            features[word] = 30
+
+        return features
 
         # Disable named entity recognition for speed
         self.nlp = spacy.load("en_core_web_sm", disable=["ner"])
@@ -25,8 +116,20 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
         Build overall feature set for each question based on feature vectors of individual questions.
         Train KNN classification model with overall feature set.
         """
-        questions = [q[0] for q in question_pairs]
-        question_features = [self.get_question_features(self.nlp(q)) for q in questions]
+
+
+        # READ QUESTIONS
+        question_list = db.get_all_answerable_pairs()
+        #print(question_list)
+        question_list = [q[0] for q in question_list]
+        questions = pd.DataFrame(question_list, columns = ['questionFormat'])
+        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
+        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
+
+        question_features = questions['features'].values.tolist()
+
+        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
+
         for feature in question_features:
             for key in feature:
                 self.overall_features[key] = 0
@@ -49,9 +152,9 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
 
         return new_classifier
 
-    def train_model(self, question_pairs: Tuple[str, str]):
-        self.classifier = self.build_question_classifier(question_pairs)
-        save_model(self.classifier, "nlp-model")
+    def train_model(self):
+        self.classifier = self.build_question_classifier()
+        self.save_model(self.classifier, "nlp-model")
 
     def load_latest_classifier(self):
         self.classifier = load_latest_model()
@@ -131,4 +234,8 @@ def classify_question(self, question):
         if not wh_words_match:
             return "WH Words Don't Match"
 
-        return predicted_question
\ No newline at end of file
+        return predicted_question
+
+
+
+

From 71148840799d14c365d0a8affb7d038ba074f8ff Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Sun, 3 May 2020 14:02:24 -0700
Subject: [PATCH 184/272] undo redo

---
 Entity/ProfessorSectionView.py    |  3 +-
 Entity/Profs.py                   |  4 +--
 database_wrapper.py               | 14 ++++++++-
 flask_api.py                      | 47 +++++++++++++++++++++++--------
 nimbus_nlp/question_classifier.py |  8 +-----
 5 files changed, 52 insertions(+), 24 deletions(-)

diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
index 68ded0c..50a405b 100644
--- a/Entity/ProfessorSectionView.py
+++ b/Entity/ProfessorSectionView.py
@@ -16,10 +16,9 @@ class SectionType(enum.Enum):
 
 class ProfessorSectionView(Base):
     __tablename__ = "Professor_Teaches_Section"
-    id = Column(Integer, primary_key=True)
     id_sections = Column(Integer)
     profAliasId = Column(Integer)
-    section_name = Column(String(255))
+    section_name = Column(String(255), primary_key=True)
     instructor = Column(String(255))
     profEmailAlias = Column(String(255))
     title = Column(String(255))
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 61a308e..513c494 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -7,11 +7,11 @@
 
 class Profs(Base):
     __tablename__ = "Profs"
-    firstName = Column(String(50), primary_key=True)
+    firstName = Column(String(50))
     lastName = Column(String(50))
     phoneNumber = Column(String(20))
     researchInterests = Column(Text)
-    email = Column(String(255))
+    email = Column(String(255), primary_key=True)
     OfficeHours = Column(Text)
     Platform = Column(Text)
     LatestQuarter = Column(Text)
diff --git a/database_wrapper.py b/database_wrapper.py
index 10cf22f..e3b0ab1 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -30,6 +30,7 @@
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
 from Entity.Profs import Profs
+from Entity.ProfessorSectionView import ProfessorSectionView
 
 from fuzzywuzzy import fuzz
 
@@ -41,7 +42,7 @@
 RESET_COLOR_CODE = "\033[00m"
 
 UNION_ENTITIES = Union[
-    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair
+    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair, ProfessorSectionView
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
@@ -52,6 +53,7 @@
     Profs: {"firstName", "lastName"},
     Clubs: {"club_name"},
     Sections: {"section_name"},
+    ProfessorSectionView: {"firstName", "lastName"},
 }
 
 EXPECTED_KEYS_BY_ENTITY = {
@@ -362,6 +364,7 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.Profs = Profs
         self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
+        self.ProfessorSectonView = ProfessorSectionView
         self.QuestionAnswerPair = QuestionAnswerPair
         self.inspector = inspect(self.engine)
         self._create_database_session()
@@ -435,6 +438,7 @@ def __safe_create(SQLAlchemy_object):
         __safe_create(self.AudioSampleMetaData)
         __safe_create(self.Locations)
         __safe_create(self.QuestionAnswerPair)
+        __safe_create(self.ProfessorSectonView)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -854,3 +858,11 @@ def get_all_answerable_pairs(self):
         true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
 
         return true_result
+
+if __name__=="__main__":
+    db = NimbusMySQLAlchemy()
+    print(
+        db._get_property_from_entity("section_name",
+                                     ProfessorSectionView,
+                                     "Braun")
+    )
diff --git a/flask_api.py b/flask_api.py
index bf45e52..f4968d2 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -45,9 +45,31 @@
 app = Flask(__name__)
 CORS(app)
 
-# TODO: Initialize these somewhere else
-db = NimbusMySQLAlchemy()
-nimbus = Nimbus(db)
+# NOTE:
+#   1. Flask "@app.route" decorated functions below commonly use a db or nimbus object
+#   2. Because the decorated functions can't take parameters (because they're called by
+#      the flask web server) the database and nimbus objects must be global
+#   3. Instantiating objects at the global level (especially ones that are resource-intensive
+#      to create like db and nimbus objects) is obviously bad practice
+#
+# Due to these points, the very un-Pythonic solution chosen is to initialize these objects as
+# None at the top level, associate them with actual objects in the `initialize*()` functions,
+# and do None checks in the functions below.
+db = None
+nimbus = None
+
+
+def initializeDB():
+    global db
+    if db is None:
+        db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+
+
+def initializeNimbus():
+    global nimbus
+    if nimbus is None:
+        initializeDB()
+        nimbus = Nimbus(db)
 
 
 @app.route("/", methods=["GET", "POST"])
@@ -83,7 +105,8 @@ def handle_question():
 
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
-
+    
+    nimbus = initializeNimbus()
     response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:
@@ -118,7 +141,7 @@ def save_a_recording():
     # Let's also save the filename to the database for quick reference
     formatted_data["filename"] = filename
 
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     try:
         db.save_audio_sample_meta_data(formatted_data)
     except BadDictionaryKeyError as e:
@@ -141,7 +164,7 @@ def save_office_hours():
     """
     Persists list of office hours
     """
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     data = request.get_json()
     for professor in data:
         try:
@@ -179,7 +202,7 @@ def save_query_phrase():
             print("error", err)
             return str(err), BAD_REQUEST
 
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     try:
         phrase_saved = db.insert_entity(QuestionAnswerPair, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -213,7 +236,7 @@ def save_feedback():
             print("error:", err)
             return str(err), BAD_REQUEST
 
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     try:
         feedback_saved = db.insert_entity(QueryFeedback, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -235,7 +258,7 @@ def save_courses():
     Persists list of courses
     """
     data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     for course in data["courses"]:
         try:
             db.update_entity(Courses, course, ['dept', 'courseNum'])
@@ -260,7 +283,7 @@ def save_clubs():
     Persists list of clubs
     """
     data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     for club in data["clubs"]:
         try:
             db.update_entity(Clubs, club, ['club_name'])
@@ -285,7 +308,7 @@ def save_locations():
     Persists list of locations
     """
     data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     for location in data["locations"]:
         try:
             db.update_entity(Locations, location, ['longitude', 'latitude'])
@@ -310,7 +333,7 @@ def save_calendars():
     Persists list of calendars
     """
     data = json.loads(request.get_json())
-    db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+    initializeDB()
     for calendar in data["calendars"]:
         try:
             db.update_entity(Calendars, calendar, ['date', 'raw_events_text'])
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 30f2a6a..f5f85cb 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -3,8 +3,7 @@
 import sklearn.neighbors
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
 import json
-from QA import db
-
+from typing import Tuple
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
 
@@ -17,11 +16,6 @@ def __init__(self, file_path="question_set_clean.csv"):
         self.overall_features = {}
 
     def train_model(self):
-        self.save_model = save_model
-
-        # The possible WH word tags returned through NLTK part of speech tagging
-
-
         self.classifier = self.build_question_classifier()
         save_model(self.classifier, "nlp-model")
 

From 395c9d67862fd1c553e3c685168c0c2775e9e1e5 Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 26 Apr 2020 15:59:46 -0700
Subject: [PATCH 185/272] initial flask_api tests and fix some bugs

---
 Entity/AudioSampleMetaData.py     |  1 +
 Entity/Calendars.py               |  1 +
 Entity/Clubs.py                   |  1 +
 Entity/Corequisites.py            |  1 +
 Entity/Corrections.py             |  1 +
 Entity/Courses.py                 |  1 +
 Entity/Locations.py               |  1 +
 Entity/OfficeHours.py             |  1 +
 Entity/PolyRatings.py             |  1 +
 Entity/Prerequisites.py           |  1 +
 Entity/ProfessorSectionView.py    |  1 +
 Entity/Professors.py              |  1 +
 Entity/Profs.py                   |  1 +
 Entity/QueryFeedback.py           |  1 +
 Entity/QuestionAnswerPair.py      |  1 +
 Entity/Sections.py                |  1 +
 database_wrapper.py               | 46 ++++++++++++++-----
 flask_api.py                      | 38 ++++++++++------
 nimbus.py                         |  2 +-
 nimbus_nlp/question_classifier.py | 24 ++++------
 tests/MockEntity.py               |  1 +
 tests/MockViewEntity.py           | 18 ++++++++
 tests/test_database_wrapper.py    | 20 ++++++++-
 tests/test_flask_api.py           | 75 +++++++++++++++++++++++++++++++
 24 files changed, 197 insertions(+), 43 deletions(-)
 create mode 100644 tests/MockViewEntity.py
 create mode 100644 tests/test_flask_api.py

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
index c5b0343..780afa8 100644
--- a/Entity/AudioSampleMetaData.py
+++ b/Entity/AudioSampleMetaData.py
@@ -28,6 +28,7 @@ class AudioSampleMetaData(Base):
     username = Column(String(255))
     # Text chosen because filename is standarized concatenation of above fields
     filename = Column(Text)
+    is_view = False
 
     def __repr__(self):
         string = "<AudioSampleMetaData ( id={}, is_wake_word={}, "
diff --git a/Entity/Calendars.py b/Entity/Calendars.py
index eb8f812..dff0b5b 100644
--- a/Entity/Calendars.py
+++ b/Entity/Calendars.py
@@ -14,6 +14,7 @@ class Calendars(Base):
     month = Column(String(10))
     year = Column(Integer)
     raw_events_text = Column(Text)
+    is_view = False
 
     def __repr__(self):
         return "<Calendars (date={}, events={})>".format(
diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index 4ff23a7..34bfa4e 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -18,6 +18,7 @@ class Clubs(Base):
     box = Column(String(3))
     advisor = Column(String(255))
     affiliation = Column(String(255))
+    is_view = False
 
     def __repr__(self):
         D = self.__dict__
diff --git a/Entity/Corequisites.py b/Entity/Corequisites.py
index 1f8bda4..3b5b942 100644
--- a/Entity/Corequisites.py
+++ b/Entity/Corequisites.py
@@ -2,3 +2,4 @@ class Corequisites:
     def __init__(self, courseId, coreqCourse):
         self.courseId = courseId
         self.coreqCourse = coreqCourse
+        self.is_view = False
diff --git a/Entity/Corrections.py b/Entity/Corrections.py
index 1994426..0fb7c0e 100644
--- a/Entity/Corrections.py
+++ b/Entity/Corrections.py
@@ -12,3 +12,4 @@ def __init__(
         self.correctionText = correctionText
         self.tableNameToCorrect = tableNameToCorrect
         self.columnNameToCorrect = columnNameToCorrect
+        self.is_view = False
\ No newline at end of file
diff --git a/Entity/Courses.py b/Entity/Courses.py
index f737ba5..6fe7e4c 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -32,6 +32,7 @@ class Courses(Base):
     raw_concurrent_text = Column(Text)
     raw_recommended_text = Column(Text)
     raw_prerequisites_text = Column(Text)
+    is_view = False
 
     def __repr__(self):
         return "<Courses (dept={}, course_num={})>".format(self.dept, self.courseNum)
diff --git a/Entity/Locations.py b/Entity/Locations.py
index 1762ccd..4fd74ee 100644
--- a/Entity/Locations.py
+++ b/Entity/Locations.py
@@ -11,6 +11,7 @@ class Locations(Base):
     name = Column(String(100))
     longitude = Column(String(255))
     latitude = Column(String(255))
+    is_view = False
 
     def __repr__(self):
         return "<Locations (building_number = {}, name = {}, longitude = {}, latitude = {})>".format(
diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
index f14df09..04a23a3 100644
--- a/Entity/OfficeHours.py
+++ b/Entity/OfficeHours.py
@@ -21,6 +21,7 @@ class OfficeHours(Base):
     Phone = Column(Text)
     Platform = Column(Text)
     LatestQuarter = Column(Text)
+    is_view = False
 
     def __repr__(self):
         return "<Office Hours (Name={}, Office={}, Email={}, Monday={}, Tuesday={}, Wednesday={}, Thursday={}, Friday={})>".format(
diff --git a/Entity/PolyRatings.py b/Entity/PolyRatings.py
index b26e305..0b16e68 100644
--- a/Entity/PolyRatings.py
+++ b/Entity/PolyRatings.py
@@ -7,3 +7,4 @@ def __init__(self, id, avgRating, numRatings, Professors_id):
         self.avgRating = avgRating
         self.numRatings = numRatings
         self.Professors_id = Professors_id
+        self.is_view = False
diff --git a/Entity/Prerequisites.py b/Entity/Prerequisites.py
index 1ae60ad..86b3f66 100644
--- a/Entity/Prerequisites.py
+++ b/Entity/Prerequisites.py
@@ -2,3 +2,4 @@ class Prerequisites:
     def __init__(self, courseId, prereqCourse):
         self.courseId = courseId
         self.prereqCourse = prereqCourse
+        self.is_view = False
\ No newline at end of file
diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
index 50a405b..b6b6796 100644
--- a/Entity/ProfessorSectionView.py
+++ b/Entity/ProfessorSectionView.py
@@ -35,6 +35,7 @@ class ProfessorSectionView(Base):
     phoneNumber = Column(String(20))
     researchInterests = Column(Text)
     email = Column(String(255))
+    is_view = True
 
     def __repr__(self):
         D = self.__dict__
diff --git a/Entity/Professors.py b/Entity/Professors.py
index 9417a16..7f6dd1c 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -14,6 +14,7 @@ class Professors(Base):
     phoneNumber = Column(String(20))
     researchInterests = Column(Text)
     email = Column(String(255))
+    is_view = False
 
 
 class ProfessorsProperties(enum.Enum):
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 513c494..360fb7d 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -18,6 +18,7 @@ class Profs(Base):
     Office = Column(Text)
     department = Column(String(255))
     title = Column(String(255))
+    is_view = True
 
     def __repr__(self):
         D = self.__dict__
diff --git a/Entity/QueryFeedback.py b/Entity/QueryFeedback.py
index 845e629..da5abd4 100644
--- a/Entity/QueryFeedback.py
+++ b/Entity/QueryFeedback.py
@@ -15,6 +15,7 @@ class QueryFeedback(Base):
     answer = Column(Text)
     answer_type = Column(Enum(AnswerType))
     timestamp = Column(DateTime)
+    is_view = False
 
     def __repr__(self):
         """
diff --git a/Entity/QuestionAnswerPair.py b/Entity/QuestionAnswerPair.py
index 9a264cf..9e730e5 100644
--- a/Entity/QuestionAnswerPair.py
+++ b/Entity/QuestionAnswerPair.py
@@ -27,6 +27,7 @@ class QuestionAnswerPair(Base):
     answer_type = Column(Enum(AnswerType))
     question_format = Column(Text)
     answer_format = Column(Text)
+    is_view = False
 
     def __repr__(self):
         """
diff --git a/Entity/Sections.py b/Entity/Sections.py
index 094fb14..e4f1609 100644
--- a/Entity/Sections.py
+++ b/Entity/Sections.py
@@ -29,6 +29,7 @@ class Sections(Base):
     end = Column(String(255))
     location = Column(String(255))
     department = Column(String(255))
+    is_view = False
 
     def __repr__(self):
         D = self.__dict__
diff --git a/database_wrapper.py b/database_wrapper.py
index e3b0ab1..287e414 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -89,14 +89,14 @@
         'raw_events_text',
     ],
     Courses: [
-            'dept',
-            'courseNum',
-            'courseName',
-            'units',
-            'raw_prerequisites_text',
-            'raw_concurrent_text',
-            'raw_recommended_text',
-            'termsOffered',
+        'dept',
+        'courseNum',
+        'courseName',
+        'units',
+        'raw_prerequisites_text',
+        'raw_concurrent_text',
+        'raw_recommended_text',
+        'termsOffered',
     ],
     Locations: ["building_number", "name", "longitude", "latitude"],
     Sections: [
@@ -136,7 +136,18 @@ def __init__(self, message: str):
 
 
 class BadDictionaryValueError(Exception):
-    """Raised when the given JSON/dict has unexpected wake
+    """Raised when the given JSON/dict has unexpected data
+
+    Attributes:
+        message: an explanation.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+class InvalidOperationOnView(Exception):
+    """Raised when trying to perform insert/update operations on a View.
 
     Attributes:
         message: an explanation.
@@ -607,11 +618,15 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
         Returns:
             True if all is good, else False
         """
+        # Initialize the entity and check if it's a View
+        entity = entity_type()
+        if entity.is_view:
+            msg = "insert_entity for View: {} is not supported"
+            raise InvalidOperationOnView(msg.format(entity_type))
 
         # Get formatted data, entity attributes, and entity object
         formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
         entity_attributes = entity_type.__dict__
-        entity = entity_type()
 
         # Logging...
         print(
@@ -629,9 +644,10 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
                     entity_attributes.items(),
                 )
             ).keys()
-        )[1:]
+        )[1:-1]
 
         # Ignore the first field, since it's assumed to be a primary key
+        # Ignore the last field, since it's the is_view boolean
         # Populate the entity with values from formatted_data
         for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
@@ -669,6 +685,11 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
         Returns:
             True if all is good, else False
         """
+        # Initialize dummy entity to check if it's a View
+        dummy_entity = entity_type()
+        if dummy_entity.is_view:
+            msg = "update_entity for View: {} is not supported"
+            raise InvalidOperationOnView(msg.format(entity_type))
 
         # If we're not filtering for anything, we shouldn't be calling update_entity
         if len(filter_fields) == 0:
@@ -715,9 +736,10 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
                     entity_attributes.items(),
                 )
             ).keys()
-        )[1:]
+        )[1:-1]
 
         # Ignore the first field, since it's assumed to be a primary key
+        # Ignore the last field, since it's the is_view boolean
         # Populate the entity with values from formatted_data
         for entity_field in entity_fields:
             setattr(entity, entity_field, formatted_data[entity_field])
diff --git a/flask_api.py b/flask_api.py
index f4968d2..b558d04 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -55,6 +55,7 @@
 # Due to these points, the very un-Pythonic solution chosen is to initialize these objects as
 # None at the top level, associate them with actual objects in the `initialize*()` functions,
 # and do None checks in the functions below.
+
 db = None
 nimbus = None
 
@@ -95,6 +96,7 @@ def handle_question():
     server are:
         * storage of the logs of this question-answer-session.
     """
+    initializeNimbus()
 
     if request.is_json is False:
         return "request must be JSON", BAD_REQUEST
@@ -105,8 +107,7 @@ def handle_question():
 
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
-    
-    nimbus = initializeNimbus()
+
     response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:
@@ -142,6 +143,7 @@ def save_a_recording():
     formatted_data["filename"] = filename
 
     initializeDB()
+
     try:
         db.save_audio_sample_meta_data(formatted_data)
     except BadDictionaryKeyError as e:
@@ -165,6 +167,7 @@ def save_office_hours():
     Persists list of office hours
     """
     initializeDB()
+
     data = request.get_json()
     for professor in data:
         try:
@@ -203,6 +206,7 @@ def save_query_phrase():
             return str(err), BAD_REQUEST
 
     initializeDB()
+
     try:
         phrase_saved = db.insert_entity(QuestionAnswerPair, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -237,6 +241,7 @@ def save_feedback():
             return str(err), BAD_REQUEST
 
     initializeDB()
+
     try:
         feedback_saved = db.insert_entity(QueryFeedback, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
@@ -257,8 +262,9 @@ def save_courses():
     """
     Persists list of courses
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     initializeDB()
+
     for course in data["courses"]:
         try:
             db.update_entity(Courses, course, ['dept', 'courseNum'])
@@ -282,8 +288,9 @@ def save_clubs():
     """
     Persists list of clubs
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     initializeDB()
+
     for club in data["clubs"]:
         try:
             db.update_entity(Clubs, club, ['club_name'])
@@ -307,8 +314,9 @@ def save_locations():
     """
     Persists list of locations
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     initializeDB()
+
     for location in data["locations"]:
         try:
             db.update_entity(Locations, location, ['longitude', 'latitude'])
@@ -332,8 +340,9 @@ def save_calendars():
     """
     Persists list of calendars
     """
-    data = json.loads(request.get_json())
+    data = request.get_json()
     initializeDB()
+
     for calendar in data["calendars"]:
         try:
             db.update_entity(Calendars, calendar, ['date', 'raw_events_text'])
@@ -367,7 +376,8 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(
+        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -387,10 +397,10 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
 
     # Check if the current entity is already within the database
     if (
-        db.get_property_from_entity(
-            prop="Name", entity=entity_type, identifier=current_prof["Name"]
-        )
-        != None
+            db.get_property_from_entity(
+                prop="Name", entity=entity_type, identifier=current_prof["Name"]
+            )
+            != None
     ):
 
         update_office_hours = True
@@ -452,7 +462,8 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     # Update the entity properties if the entity already exists
     if update_office_hours == True:
         db.update_entity(
-            entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"]
+            entity_type=entity_type, data_dict=sql_data, filter_fields=[
+                "Email"]
         )
 
     # Otherwise, add the entity to the database
@@ -501,4 +512,5 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
+            port=gunicorn_config.PORT)
\ No newline at end of file
diff --git a/nimbus.py b/nimbus.py
index d6b068b..8e7275d 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -19,7 +19,7 @@ def __init__(self, db: NimbusMySQLAlchemy):
         self.qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
         # Instantiate variable extractor and question classifier
         self.variable_extractor = VariableExtractor()
-        self.classifier = QuestionClassifier()
+        self.classifier = QuestionClassifier(db)
         # Load classifier model
         self.classifier.load_latest_classifier()
 
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index f5f85cb..846ce27 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -1,15 +1,18 @@
-import spacy
+import collections
+import json
 import numpy as np
+import spacy
 import sklearn.neighbors
+
 from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
-import json
 from typing import Tuple
 
 # TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
 
 
 class QuestionClassifier:
-    def __init__(self, file_path="question_set_clean.csv"):
+    def __init__(self, db, file_path="question_set_clean.csv"):
+        self.db = db
         self.classifier = None
         self.nlp = spacy.load('en_core_web_sm')
         self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
@@ -110,19 +113,8 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
         Build overall feature set for each question based on feature vectors of individual questions.
         Train KNN classification model with overall feature set.
         """
-
-
-        # READ QUESTIONS
-        question_list = db.get_all_answerable_pairs()
-        #print(question_list)
-        question_list = [q[0] for q in question_list]
-        questions = pd.DataFrame(question_list, columns = ['questionFormat'])
-        questions['features'] = questions['questionFormat'].apply(self.get_question_features)
-        # old alg: questions['features'] = questions['questionFormat'].apply(self.get_question_features_old_algorithm)
-
-        question_features = questions['features'].values.tolist()
-
-        # BUILD OVERALL FEATURE SET FROM INDIVIDUAL QUESTION FEATURE VECTORS
+        questions = [q[0] for q in question_pairs]
+        question_features = [self.get_question_features(self.nlp(q)) for q in questions]
 
         for feature in question_features:
             for key in feature:
diff --git a/tests/MockEntity.py b/tests/MockEntity.py
index 2fe6924..54204cb 100644
--- a/tests/MockEntity.py
+++ b/tests/MockEntity.py
@@ -10,6 +10,7 @@ class MockEntity(Base):
     value_one = Column(String(64))
     value_two = Column(String(64))
     value_three = Column(String(64))
+    is_view = False
 
     def __repr__(self):
         return "<MockEntity (value_one={}, value_two={}, value_three={})>".format(
diff --git a/tests/MockViewEntity.py b/tests/MockViewEntity.py
new file mode 100644
index 0000000..a038af8
--- /dev/null
+++ b/tests/MockViewEntity.py
@@ -0,0 +1,18 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class MockViewEntity(Base):
+    __tablename__ = "Test"
+    entity_id = Column(Integer, primary_key=True)
+    value_one = Column(String(64))
+    value_two = Column(String(64))
+    value_three = Column(String(64))
+    is_view = True
+
+    def __repr__(self):
+        return "<MockViewEntity (value_one={}, value_two={}, value_three={})>".format(
+            self.value_one, self.value_two, self.value_three
+        )
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
index d9578ae..4d8e6f2 100644
--- a/tests/test_database_wrapper.py
+++ b/tests/test_database_wrapper.py
@@ -6,12 +6,14 @@
     NimbusMySQLAlchemy,
     BadDictionaryKeyError,
     BadDictionaryValueError,
+    InvalidOperationOnView,
     NimbusDatabaseError,
     UnsupportedDatabaseError,
     BadConfigFileError,
 )
 from mock import patch, Mock
 from .MockEntity import MockEntity
+from .MockViewEntity import MockViewEntity
 
 
 ENTITY_TYPES = [
@@ -20,7 +22,7 @@
     "Courses",
     "Locations",
     "QuestionAnswerPair",
-    "Professors",
+    "Profs",
     "Clubs",
     "Sections",
 ]
@@ -289,3 +291,19 @@ def test_create_engine_missing_field():
         test_db = NimbusMySQLAlchemy(TEST_CONFIG_FILENAME)
 
     os.remove(TEST_CONFIG_FILENAME)
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_insert_entity_view_error(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+
+    with pytest.raises(InvalidOperationOnView):
+        test_db.insert_entity(MockViewEntity, {});
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_update_entity_view_error(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+
+    with pytest.raises(InvalidOperationOnView):
+        test_db.update_entity(MockViewEntity, {}, []);
diff --git a/tests/test_flask_api.py b/tests/test_flask_api.py
new file mode 100644
index 0000000..74586f6
--- /dev/null
+++ b/tests/test_flask_api.py
@@ -0,0 +1,75 @@
+import json
+import pytest
+
+import flask_api
+from database_wrapper import (NimbusMySQLAlchemy, BadDictionaryKeyError, BadDictionaryValueError,
+                              NimbusDatabaseError, UnsupportedDatabaseError, BadConfigFileError)
+from mock import patch, Mock
+from .MockEntity import MockEntity
+
+
+BAD_REQUEST = 400
+SUCCESS = 200
+SERVER_ERROR = 500
+TOKEN = "test_token"
+
+
+@pytest.fixture
+def client():
+    flask_api.app.config['TESTING'] = True
+
+    with flask_api.app.test_client() as client:
+        yield client
+
+
+def test_hello(client):
+    resp = client.get('/')
+    assert resp.json == {"name": "hello {}".format(flask_api.app)}
+
+    test_data_dict = {"hello": "world"}
+    resp = client.post('/', json=test_data_dict)
+    assert resp.json == {"you sent": test_data_dict}
+
+
+@patch("flask_api.Nimbus")
+@patch("flask_api.NimbusMySQLAlchemy")
+def test_ask_request_not_json(mock_db, mock_nimbus, client):
+    mock_db.return_value = None
+    mock_nimbus.return_value = None
+
+    resp = client.post('/ask', data="dummy data")
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == b'request must be JSON'
+
+
+@patch("flask_api.Nimbus")
+@patch("flask_api.NimbusMySQLAlchemy")
+def test_ask_no_question(mock_db, mock_nimbus, client):
+    mock_db.return_value = None
+    mock_nimbus.return_value = None
+
+    resp = client.post('/ask', json={})
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == b'request body should include the question'
+
+
+@patch("flask_api.generate_session_token", return_value=TOKEN)
+@patch("flask_api.Nimbus")
+@patch("flask_api.NimbusMySQLAlchemy")
+def test_ask_question(mock_db, mock_nimbus, mock_generate_session_token, client):
+    mock_db.return_value = None
+    mock_nimbus_client = Mock()
+    mock_nimbus_client.answer_question.return_value = "test_answer"
+    mock_nimbus.return_value = mock_nimbus_client
+
+    # Verify that calling ask without a token will return a response with a new token
+    resp = client.post('/ask', json={"question": "test_question"})
+    assert resp.status_code == SUCCESS
+    assert resp.json == {"answer": "test_answer", "session": TOKEN}
+
+    # Verify that calling ask with a token will return a response with the same token
+    dummy_token = "dummy_token"
+    resp = client.post('/ask', json={"question": "test_question", "session": dummy_token})
+    assert resp.status_code == SUCCESS
+    assert resp.json == {"answer": "test_answer", "session": dummy_token}
+    
\ No newline at end of file

From b642a7b9bc120b2239baf72aacb5f4d259e1d640 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Sun, 3 May 2020 17:27:25 -0700
Subject: [PATCH 186/272] support for list properties

---
 QA.py               | 109 ++++++++++++++++++++++++++++++++------------
 database_wrapper.py |  13 +++++-
 flask_api.py        |   2 +-
 nimbus.py           |   6 ++-
 4 files changed, 96 insertions(+), 34 deletions(-)

diff --git a/QA.py b/QA.py
index f1247b2..f674be4 100644
--- a/QA.py
+++ b/QA.py
@@ -6,6 +6,7 @@
 from Entity.Profs import Profs
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections
+from Entity.ProfessorSectionView import ProfessorSectionView
 from database_wrapper import NimbusMySQLAlchemy
 import itertools
 
@@ -21,6 +22,7 @@
     "COURSE": Courses,
     "SECRET_HIDEOUT": Locations,
     "SECTION": Sections,
+    "PROF_SECTION": ProfessorSectionView
 }
 
 
@@ -80,9 +82,15 @@ def string_sub(a_format):
     return functools.partial(_string_sub, a_format)
 
 
-def _get_property(prop: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlchemy):
+def _get_property(prop: str,
+                  table: str,
+                  extracted_info: Extracted_Vars,
+                  db: NimbusMySQLAlchemy):
     ent_string = extracted_info["normalized entity"]
-    ent = tag_lookup[extracted_info["tag"]]
+    if table is None:
+        ent = tag_lookup[extracted_info["tag"]]
+    else:
+        ent = tag_lookup[table]
     try:
         value = db.get_property_from_entity(
             prop=prop, entity=ent, identifier=ent_string
@@ -93,8 +101,35 @@ def _get_property(prop: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlch
         return {f"db_{prop}": value}
 
 
-def get_property(prop: str):
-    return functools.partial(_get_property, prop)
+def get_property(prop: str, table: str = None):
+    return functools.partial(_get_property, prop, table)
+
+
+def _get_property_list(prop: str,
+                       joiner: str,
+                       table: str,
+                       extracted_info: Extracted_Vars,
+                       db: NimbusMySQLAlchemy):
+    ent_string = extracted_info["normalized entity"]
+    if table is None:
+        ent = tag_lookup[extracted_info["tag"]]
+    else:
+        ent = tag_lookup[table]
+
+    try:
+        values = db._get_property_from_entity(
+            prop=prop, entity=ent, identifier=ent_string
+        )
+    except IndexError:
+        return {f"db_{prop}": None}
+    else:
+        exact_matches = get_all_exact_matches(values)
+        return {f"db_{prop}": _grammatical_join(exact_matches)}
+
+def get_property_list(prop: str,
+                      joiner: str,
+                      table: str = None):
+    return functools.partial(_get_property_list, prop, joiner, table)
 
 
 def _generic_answer_formatter(
@@ -207,39 +242,55 @@ def chain_db_access(fns: List[DB_Query]) -> DB_Query:
     return functools.partial(_chain_db_access, fns)
 
 
+def get_all_exact_matches(matches):
+    exact = matches[-1][1]
+    exact_matches = []
+    for match in reversed(matches):
+        if match[1] == exact:
+            exact_matches.append(match[2])
+    return exact_matches
+
+
 def generate_qa_pairs(qa_pairs: Tuple[str, str], db: NimbusMySQLAlchemy):
-    text_in_brackets = r"\[[^\[\]]*\]"
     qa_objs = []
     for pair in qa_pairs:
-        q = pair[0]
-        a = pair[1]
+        q, a = pair
         db_access_fns = []
-        # Find all bracketed tokens ([PROF], [COURSE..units], etc)
-        matches = re.findall(text_in_brackets, a)
-        ents = []
-        for match in matches:
-            # If match is a property
-            if ".." in match:
-                ent, prop = match[1:-1].split("..", 1)
-                db_access_fns.append(get_property(prop))
-                # "db" prefix is used to disambiguate database and entity data
-                # in _string_sub and _generic_answer_formatter. See above.
-                a = a.replace(match, "{db_" + prop + "}")
-            # If match is an entity
+        tokens = a.split()
+        for i, token in enumerate(tokens):
+            # I get errors if I don't cast token to a string here, even though str.split() should
+            # return a list of strings
+            match = re.match(r"\[(.*?)\]", str(token))
+            if not match:
+                continue
             else:
-                ents.append(match)
-        if len(ents) == 1:
-            a = a.replace(ents[0], "{ex}")
-        else:
-            for ent in ents:
-                # "ex" prefix is added for the same reason as above.
-                # Not necessary for current _string_sub function, but useful
-                # for when we extract multiple variables
-                a = a.replace(ent, "{ex_" + ent[1:-1] + "}")
+                subtokens = match.group(1).split("..")
+                # Match is an entity
+                if len(subtokens) == 1:
+                    tokens[i] = "{ex}"
+                # Match is a single-item property
+                elif len(subtokens) == 2:
+                    ent, prop = subtokens
+                    db_access_fns.append(get_property(prop))
+                    tokens[i] = "{db_" + prop + "}"
+                elif len(subtokens) == 3:
+                    ent, prop, third = subtokens
+                    if third in tag_lookup:
+                        # third is a table name
+                        db_access_fns.append(get_property(prop, third))
+                    else:
+                        # third is the string used to join the last two of a list of items
+                        db_access_fns.append(get_property_list(prop, third))
+                    tokens[i] = "{db_" + prop + "}"
+                elif len(subtokens) == 4:
+                    ent, prop, table, joiner = subtokens
+                    db_access_fns.append(get_property_list(prop, joiner, table))
+                    tokens[i] = "{db_" + prop + "}"
+
         o = QA(
             q_format=q,
             db_query=chain_db_access(db_access_fns),
-            format_answer=string_sub(a),
+            format_answer=string_sub(" ".join(tokens)),
             db=db,
         )
         qa_objs.append(o)
diff --git a/database_wrapper.py b/database_wrapper.py
index e3b0ab1..41c5266 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -482,7 +482,7 @@ def partial_fuzzy_match(self, tag_value, identifier):
     def full_fuzzy_match(self, tag_value, identifier):
         return fuzz.ratio(tag_value, identifier)
 
-    def get_property_from_entity(
+    def _get_property_from_entity(
         self,
         prop: str,
         entity: UNION_ENTITIES,
@@ -542,7 +542,16 @@ def get_property_from_entity(
             return None
 
         sorted_results = sorted(results, key=lambda pair: pair[0])
-        return sorted_results[-1][2]
+        return sorted_results
+
+    def get_property_from_entity(self,
+        prop: str,
+        entity: UNION_ENTITIES,
+        identifier: str,
+        tag_column_map: dict = default_tag_column_dict):
+
+        props = self._get_property_from_entity(prop, entity, identifier, tag_column_map)
+        return props[-1][2]
 
     def get_course_properties(
         self, department: str, course_num: Union[str, int]
diff --git a/flask_api.py b/flask_api.py
index f4968d2..6b09007 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -106,7 +106,7 @@ def handle_question():
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
     
-    nimbus = initializeNimbus()
+    initializeNimbus()
     response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:
diff --git a/nimbus.py b/nimbus.py
index d6b068b..0fc846d 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -70,6 +70,8 @@ def predict_question(self, question):
     ve = VariableExtractor()
     db = NimbusMySQLAlchemy()
     qa_pairs = db.get_all_answerable_pairs()
+    qa_pairs.append(("What sections does [PROF] teach?",
+                     "[PROF] teaches [PROF..section_name..PROF_SECTION..and]."))
     qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
-    extracted = ve.extract_variables("How do I zoom Dr. Khosmood?")
-    print(qa_dict["How do I zoom [PROF]?"].answer(extracted))
+    extracted = ve.extract_variables("What sections does Khosmood teach?")
+    print(qa_dict["What sections does [PROF] teach?"].answer(extracted))

From a8f151a70433ad34dfab7d633e0338e717b16fee Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 10 May 2020 12:58:53 -0700
Subject: [PATCH 187/272] lets not have 80 commits

---
 .dockerignore                                 |  129 ++
 .github/ISSUE_TEMPLATE/bug_report.md          |   38 +
 .github/ISSUE_TEMPLATE/okr-feature-request.md |   28 +
 .github/pull_request_template.md              |   36 +
 .github/workflows/deploy_staging.yml          |   50 +
 .github/workflows/gce.yaml                    |   98 ++
 .github/workflows/style_check.yml             |   48 +
 .github/workflows/test.yml                    |   36 +
 .github/workflows/type_check.yml              |   38 +
 .gitignore                                    |   15 +
 .style.yapf                                   |  350 ++++++
 Dockerfile                                    |  107 ++
 Dockerfile_heroku                             |   96 ++
 Entity/AudioSampleMetaData.py                 |   48 +
 Entity/Calendars.py                           |   22 +
 Entity/Clubs.py                               |   29 +
 Entity/Corequisites.py                        |    5 +
 Entity/Corrections.py                         |   15 +
 Entity/Courses.py                             |   38 +
 Entity/Locations.py                           |   19 +
 Entity/OfficeHours.py                         |   43 +
 Entity/PolyRatings.py                         |   10 +
 Entity/Prerequisites.py                       |    5 +
 Entity/ProfessorSectionView.py                |   46 +
 Entity/Professors.py                          |   25 +
 Entity/Profs.py                               |   29 +
 Entity/QueryFeedback.py                       |   29 +
 Entity/QuestionAnswerPair.py                  |   41 +
 Entity/Sections.py                            |   40 +
 Entity/__init__.py                            |    0
 Makefile                                      |   10 +
 Pipfile                                       |   66 +
 Pipfile.lock                                  | 1111 +++++++++++++++++
 QA.py                                         |  247 ++++
 README.md                                     |  135 +-
 __init__.py                                   |    0
 cert-update.sh                                |    9 +
 config.json                                   |    9 -
 config_SAMPLE.json                            |   17 +
 coverage.sh                                   |    7 +
 create_all_tables.py                          |    5 +
 database_wrapper.py                           |  904 +++++++++++++-
 db_wrapper.py                                 |   55 +-
 demo.py                                       |   17 +
 deploy.sh                                     |    5 +
 download_nlp_stuff.sh                         |    2 +
 download_nltk_stuff.py                        |    5 +
 flask_api.py                                  |  516 +++++++-
 format.sh                                     |    3 +
 gunicorn_config.py                            |   13 +
 happy.wav                                     |  Bin 0 -> 32044 bytes
 heroku_deploy.sh                              |    5 +
 letsencrypt-backup-tar.cron                   |    1 +
 lint.sh                                       |   38 +
 modules/formatters.py                         |   14 +-
 modules/validators.py                         |  339 ++++-
 nimbus-config-secrets                         |    1 +
 nimbus.py                                     |   80 ++
 nimbus_nlp/__init__.py                        |    0
 .../nlp-model_05_08_2020_16_49_27.pkl         |  Bin 0 -> 236101 bytes
 .../models/features/overall_features.json     |    1 +
 nimbus_nlp/question_classifier.py             |  218 ++++
 nimbus_nlp/question_set_clean.csv             |  529 ++++++++
 nimbus_nlp/save_and_load_model.py             |   40 +
 nimbus_nlp/variable_extractor.py              |  143 +++
 office_hours_post_request.py                  |  192 +++
 qa_pair.csv                                   |    2 +
 requirements.txt                              |   60 +-
 run.sh                                        |    2 +
 run_tests.sh                                  |    2 +
 settings.yml_SAMPLE                           |   20 +
 setup_letsencrypt.sh                          |   16 +
 setup_special_files_from_env.py               |  127 ++
 sqlalchemy_demo.py                            |  114 ++
 tasks.py                                      |  259 ++++
 test.py                                       |   12 +
 tests/MockEntity.py                           |   18 +
 tests/MockViewEntity.py                       |   18 +
 tests/__init__.py                             |    0
 tests/hypothesis_example.py                   |   37 +
 tests/test_database_wrapper.py                |  309 +++++
 tests/test_flask_api.py                       |   75 ++
 type_check.sh                                 |    4 +
 utilities/__init__.py                         |    0
 utilities/cases.py                            |   16 +
 utilities/yaml_utils.py                       |   39 +
 86 files changed, 7171 insertions(+), 209 deletions(-)
 create mode 100644 .dockerignore
 create mode 100644 .github/ISSUE_TEMPLATE/bug_report.md
 create mode 100644 .github/ISSUE_TEMPLATE/okr-feature-request.md
 create mode 100644 .github/pull_request_template.md
 create mode 100644 .github/workflows/deploy_staging.yml
 create mode 100644 .github/workflows/gce.yaml
 create mode 100644 .github/workflows/style_check.yml
 create mode 100644 .github/workflows/test.yml
 create mode 100644 .github/workflows/type_check.yml
 create mode 100644 .style.yapf
 create mode 100644 Dockerfile
 create mode 100644 Dockerfile_heroku
 create mode 100644 Entity/AudioSampleMetaData.py
 create mode 100644 Entity/Calendars.py
 create mode 100644 Entity/Clubs.py
 create mode 100644 Entity/Corequisites.py
 create mode 100644 Entity/Corrections.py
 create mode 100644 Entity/Courses.py
 create mode 100644 Entity/Locations.py
 create mode 100644 Entity/OfficeHours.py
 create mode 100644 Entity/PolyRatings.py
 create mode 100644 Entity/Prerequisites.py
 create mode 100644 Entity/ProfessorSectionView.py
 create mode 100644 Entity/Professors.py
 create mode 100644 Entity/Profs.py
 create mode 100644 Entity/QueryFeedback.py
 create mode 100644 Entity/QuestionAnswerPair.py
 create mode 100644 Entity/Sections.py
 create mode 100644 Entity/__init__.py
 create mode 100644 Makefile
 create mode 100644 Pipfile
 create mode 100644 Pipfile.lock
 create mode 100644 QA.py
 create mode 100644 __init__.py
 create mode 100755 cert-update.sh
 delete mode 100644 config.json
 create mode 100644 config_SAMPLE.json
 create mode 100755 coverage.sh
 create mode 100755 create_all_tables.py
 mode change 100644 => 100755 database_wrapper.py
 create mode 100644 demo.py
 create mode 100755 deploy.sh
 create mode 100755 download_nlp_stuff.sh
 create mode 100644 download_nltk_stuff.py
 mode change 100644 => 100755 flask_api.py
 create mode 100755 format.sh
 create mode 100644 gunicorn_config.py
 create mode 100644 happy.wav
 create mode 100755 heroku_deploy.sh
 create mode 100644 letsencrypt-backup-tar.cron
 create mode 100755 lint.sh
 create mode 160000 nimbus-config-secrets
 create mode 100644 nimbus.py
 create mode 100644 nimbus_nlp/__init__.py
 create mode 100644 nimbus_nlp/models/classification/nlp-model_05_08_2020_16_49_27.pkl
 create mode 100644 nimbus_nlp/models/features/overall_features.json
 create mode 100644 nimbus_nlp/question_classifier.py
 create mode 100644 nimbus_nlp/question_set_clean.csv
 create mode 100644 nimbus_nlp/save_and_load_model.py
 create mode 100644 nimbus_nlp/variable_extractor.py
 create mode 100644 office_hours_post_request.py
 create mode 100644 qa_pair.csv
 create mode 100755 run.sh
 create mode 100755 run_tests.sh
 create mode 100644 settings.yml_SAMPLE
 create mode 100755 setup_letsencrypt.sh
 create mode 100755 setup_special_files_from_env.py
 create mode 100644 sqlalchemy_demo.py
 create mode 100644 tasks.py
 create mode 100644 test.py
 create mode 100644 tests/MockEntity.py
 create mode 100644 tests/MockViewEntity.py
 create mode 100644 tests/__init__.py
 create mode 100755 tests/hypothesis_example.py
 create mode 100644 tests/test_database_wrapper.py
 create mode 100644 tests/test_flask_api.py
 create mode 100755 type_check.sh
 create mode 100644 utilities/__init__.py
 create mode 100644 utilities/cases.py
 create mode 100644 utilities/yaml_utils.py

diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..b9a66ac
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,129 @@
+Dockerfile
+README.md
+*.pyc
+*.pyo
+*.pyd
+__pycache__
+nvenv/*
+
+
+.idea/*
+.pyre/*
+
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.DS_Store
+.api.py
+.db_config.py
+db_config.py
+.vscode/settings.json
+config.json
+credentials.json
+folder_id.txt
+settings.yaml
+.export_env_vars
+auth.json
+settings.yml
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
new file mode 100644
index 0000000..f3d5c41
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -0,0 +1,38 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: bug
+assignees: ''
+
+---
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**To Reproduce**
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+**Expected behavior**
+A clear and concise description of what you expected to happen.
+
+**Screenshots**
+If applicable, add screenshots to help explain your problem.
+
+**Desktop (please complete the following information):**
+ - OS: [e.g. iOS]
+ - Browser [e.g. chrome, safari]
+ - Version [e.g. 22]
+
+**Smartphone (please complete the following information):**
+ - Device: [e.g. iPhone6]
+ - OS: [e.g. iOS8.1]
+ - Browser [e.g. stock browser, safari]
+ - Version [e.g. 22]
+
+**Additional context**
+Add any other context about the problem here.
diff --git a/.github/ISSUE_TEMPLATE/okr-feature-request.md b/.github/ISSUE_TEMPLATE/okr-feature-request.md
new file mode 100644
index 0000000..87cd222
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/okr-feature-request.md
@@ -0,0 +1,28 @@
+---
+name: OKR Feature Request
+about: Suggest a clear objective & key result with a feature request
+title: ''
+labels: enhancement
+assignees: ''
+
+---
+
+## Objective
+Support progress toward the [pick_a_milestone_from_here][1] by _improving something_
+
+## Key Result
+[Commit / Publish / Post / Report / Deploy] _something_ to _somewhere_ by _sometime_, _somehow_
+
+## Details
+
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.
+
+Add any fun tidbits that may be relevant for getting this done
+
+Or just fun tidbits for the sake of learning 😊
+
+[1]: https://github.com/calpoly-csai/api/milestones
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
new file mode 100644
index 0000000..de14a30
--- /dev/null
+++ b/.github/pull_request_template.md
@@ -0,0 +1,36 @@
+## What's New?
+Please include a summary of the change and which issue is fixed. 
+Please also include relevant motivation and context. 
+List any dependencies that are required for this change.
+
+## Fixes #<<ISSUE_NUMBER>> ... `(e.g. #9)`
+
+## Type of change (pick-one)
+- [ ] Bug fix (_non-breaking change which fixes an issue_)
+- [ ] New feature (_non-breaking change which adds functionality_)
+- [ ] Breaking change (_fix or feature that would cause existing functionality to not work as expected_)
+- [ ] This change requires a documentation update
+
+## How Has This Been Tested?
+Please describe the tests that you ran to verify your changes. 
+Provide instructions so we can reproduce. 
+Please also list any relevant details for your test configuration (hardware/operating system/etc).
+
+## Checklist (check-all-before-merge)
+_formatting help: `- [x]` means "checked' and `- [ ]` means "unchecked"_
+
+- [ ] I documented my code according to the [Google Python Style Guide][1]
+
+- [ ] I ran `./build_docs.sh` and the docs look fine
+
+- [ ] I ran `./type_check.sh` and got no errors
+
+- [ ] I ran `./format.sh` because it automatically cleans my code for me 😄 
+
+- [ ] I ran `./lint.sh` to check for what "format" missed
+
+- [ ] I added my tests to the `/tests` directory
+
+- [ ] I ran `./run_tests.sh` and all the tests pass
+
+[1]: https://google.github.io/styleguide/pyguide.html
diff --git a/.github/workflows/deploy_staging.yml b/.github/workflows/deploy_staging.yml
new file mode 100644
index 0000000..7602f28
--- /dev/null
+++ b/.github/workflows/deploy_staging.yml
@@ -0,0 +1,50 @@
+name: Deploy Dev To Staging Server
+
+# on:
+#   push:
+#     branches:
+#       - dev
+
+jobs:
+  deploy:
+    name: deploy to heroku
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+
+    - name: heroku login
+      uses: actions/heroku@master
+      env:
+        HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
+      with:
+        args: container:login
+
+    - name: heroku push
+      uses: actions/heroku@master
+      env:
+        HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
+        DATABASE_HOSTNAME: ${{ secrets.DATABASE_HOSTNAME }}
+        DATABASE_PASSWORD: ${{ secrets.DATABASE_PASSWORD }}
+        DATABASE_USERNAME: ${{ secrets.DATABASE_USERNAME }}
+        DATABASE_NAME: ${{ secrets.DATABASE_NAME }}
+        PYDRIVE_CLIENT_ID: ${{ secrets.PYDRIVE_CLIENT_ID }}
+        PYDRIVE_CLIENT_SECRET: ${{ secrets.PYDRIVE_CLIENT_SECRET }}
+        # in issue #67 we considered generating 
+        # credentials.json in a similar fashion to config.json
+        # but figured that the file was unreasonably large
+        # and therefore a simple JSON string would suffice. 
+        # https://github.com/calpoly-csai/api/issues/67
+        GOOGLE_DRIVE_CREDENTIALS: ${{ secrets.GOOGLE_DRIVE_CREDENTIALS }}
+        GOOGLE_DRIVE_FOLDER_ID: ${{ secrets.GOOGLE_DRIVE_FOLDER_ID }}
+        GOOGLE_CLOUD_NLP_CREDENTIALS: ${{ secrets.GOOGLE_CLOUD_NLP_CREDENTIALS }}
+        GOOGLE_CLOUD_NLP_MODEL_NAME:  ${{ secrets.GOOGLE_CLOUD_NLP_MODEL_NAME }}
+      with:
+        args: container:push -a calpoly-csai-nimbus web --arg DATABASE_HOSTNAME,DATABASE_PASSWORD,DATABASE_USERNAME,DATABASE_NAME,PYDRIVE_CLIENT_ID,PYDRIVE_CLIENT_SECRET,GOOGLE_DRIVE_CREDENTIALS,GOOGLE_DRIVE_FOLDER_ID,GOOGLE_CLOUD_NLP_CREDENTIALS,GOOGLE_CLOUD_NLP_MODEL_NAME
+
+    - name: heroku release
+      uses: actions/heroku@master
+      env:
+        HEROKU_API_KEY: ${{ secrets.HEROKU_API_KEY }}
+      with:
+        args: container:release -a calpoly-csai-nimbus web
diff --git a/.github/workflows/gce.yaml b/.github/workflows/gce.yaml
new file mode 100644
index 0000000..2061d30
--- /dev/null
+++ b/.github/workflows/gce.yaml
@@ -0,0 +1,98 @@
+# Copyright 2020 Google, LLC.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+name: Build and Deploy to Google Compute Engine
+
+on:
+  push:
+    branches:
+    - dev
+
+env:
+  GCE_PROJECT: ${{ secrets.GCE_PROJECT }}
+  GCE_INSTANCE: nimbus-api-test
+  GCE_INSTANCE_ZONE: us-west1-b # e.g. us-central1-a
+  # environment variables for the build
+  DATABASE_HOSTNAME: ${{ secrets.DATABASE_HOSTNAME }}
+  DATABASE_PASSWORD: ${{ secrets.DATABASE_PASSWORD }}
+  DATABASE_USERNAME: ${{ secrets.DATABASE_USERNAME }}
+  DATABASE_NAME: ${{ secrets.DATABASE_NAME }}
+  PYDRIVE_CLIENT_ID: ${{ secrets.PYDRIVE_CLIENT_ID }}
+  PYDRIVE_CLIENT_SECRET: ${{ secrets.PYDRIVE_CLIENT_SECRET }}
+  # in issue #67 we considered generating 
+  # credentials.json in a similar fashion to config.json
+  # but figured that the file was unreasonably large
+  # and therefore a simple JSON string would suffice. 
+  # https://github.com/calpoly-csai/api/issues/67
+  GOOGLE_DRIVE_CREDENTIALS: ${{ secrets.GOOGLE_DRIVE_CREDENTIALS }}
+  GOOGLE_DRIVE_FOLDER_ID: ${{ secrets.GOOGLE_DRIVE_FOLDER_ID }}
+  GOOGLE_CLOUD_NLP_CREDENTIALS: ${{ secrets.GOOGLE_CLOUD_NLP_CREDENTIALS }}
+  GOOGLE_CLOUD_NLP_MODEL_NAME:  ${{ secrets.GOOGLE_CLOUD_NLP_MODEL_NAME }}
+  GIT_SSH_CERT: ${{secrets.GIT_SSH_CERT}}
+  PORT: ${{secrets.PORT}}
+
+jobs:
+  setup-build-publish-deploy:
+    name: Setup, Build, Publish, and Deploy
+    runs-on: ubuntu-latest
+    steps:
+
+    - name: Checkout
+      uses: actions/checkout@master
+
+    # Setup gcloud CLI
+    - uses: GoogleCloudPlatform/github-actions/setup-gcloud@master
+      with:
+        version: '270.0.0'
+        service_account_email: ${{ secrets.SA_EMAIL }}
+        service_account_key: ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS }}
+
+    # Configure docker to use the gcloud command-line tool as a credential helper
+    - run: |
+        gcloud auth configure-docker
+    # Build the Docker image
+    - name: Build
+      run: |
+        docker build -t gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA \
+          --build-arg GITHUB_SHA="$GITHUB_SHA" \
+          --build-arg GITHUB_REF="$GITHUB_REF" \
+          --build-arg DATABASE_HOSTNAME \
+          --build-arg DATABASE_PASSWORD \
+          --build-arg DATABASE_USERNAME \
+          --build-arg DATABASE_NAME \
+          --build-arg PYDRIVE_CLIENT_ID \
+          --build-arg PYDRIVE_CLIENT_SECRET \
+          --build-arg GOOGLE_DRIVE_CREDENTIALS \
+          --build-arg GOOGLE_DRIVE_FOLDER_ID \
+          --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS \
+          --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME \
+          --build-arg GIT_SSH_CERT \
+          --build-arg PORT .
+
+    # Push the Docker image to Google Container Registry
+    - name: Publish
+      run: |
+        docker push gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA
+    - name: Deploy
+      run: |
+        gcloud compute instances update-container $GCE_INSTANCE \
+          --zone $GCE_INSTANCE_ZONE \
+          --container-image=gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA \
+          --project=$GCE_PROJECT
+
+    # if we don't run cleanup, the disk on google cloud will fill with old images.  
+    # run docker's prune command to cleanup old images.
+    - name: Cleanup
+      run: |
+        gcloud compute ssh $GCE_INSTANCE --zone=$GCE_INSTANCE_ZONE --project=$GCE_PROJECT --command='docker image prune -a -f'
\ No newline at end of file
diff --git a/.github/workflows/style_check.yml b/.github/workflows/style_check.yml
new file mode 100644
index 0000000..f047084
--- /dev/null
+++ b/.github/workflows/style_check.yml
@@ -0,0 +1,48 @@
+name: Python PEP8 Style Check
+
+on:
+  pull_request:
+    branches:
+      - master
+      - dev
+  push:
+    branches:
+      - master
+      - dev
+  pull_request_review_comment:
+    types: [created]
+
+
+jobs:
+  style_check:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+
+    - name: Set up Python 3.6
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.6
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+
+    - name: Lint with flake8
+      run: |
+        pip install flake8
+
+        flake8 --count \
+               --ignore E722 \
+               --show-source --statistics \
+               --exclude .git,__pycache__,venv,build,dist,docs \
+               --max-complexity 10 \
+               --max-line-length=127
+
+        ## stop the build if there are Python syntax errors or undefined names
+        #flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        ## exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        #flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
new file mode 100644
index 0000000..4e58e8b
--- /dev/null
+++ b/.github/workflows/test.yml
@@ -0,0 +1,36 @@
+name: Run Tests
+
+on:
+  pull_request:
+    branches:
+      - master
+      - dev
+  push:
+    branches:
+      - master
+      - dev
+  pull_request_review_comment:
+    types: [created]
+
+jobs:
+  run_tests:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+
+    - name: Set up Python 3.6
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.6
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+        pip install pytest
+        pip install hypothesis
+
+    - name: Test with hypothesis
+      run: ./run_tests.sh
diff --git a/.github/workflows/type_check.yml b/.github/workflows/type_check.yml
new file mode 100644
index 0000000..444c136
--- /dev/null
+++ b/.github/workflows/type_check.yml
@@ -0,0 +1,38 @@
+name: Python Pyre Type Annotation Check
+
+on:
+  pull_request:
+    branches:
+      - master
+      - dev
+  push:
+    branches:
+      - master
+      - dev
+
+jobs:
+  type_check:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+
+    - name: Set up Python 3.6
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.6
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+
+    - name: Run the Type Checker
+      run: |
+        echo "todo..."
+        ./type_check.sh
+    - name: Run Type Annotation Coverage
+      run: |
+        echo "todo..."
+        echo "todo..."
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 8d0592e..cd940ac 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,10 @@
+nvenv/*
+
+
+.idea/*
+.pyre/*
+
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
@@ -107,3 +114,11 @@ venv.bak/
 .db_config.py
 db_config.py
 .vscode/settings.json
+config.json
+credentials.json
+folder_id.txt
+settings.yaml
+.export_env_vars
+auth.json
+settings.yml
+nimbus_api.iml
\ No newline at end of file
diff --git a/.style.yapf b/.style.yapf
new file mode 100644
index 0000000..fa2f60a
--- /dev/null
+++ b/.style.yapf
@@ -0,0 +1,350 @@
+[style]
+# Align closing bracket with visual indentation.
+align_closing_bracket_with_visual_indent=False
+
+# Allow dictionary keys to exist on multiple lines. For example:
+#
+#   x = {
+#       ('this is the first element of a tuple',
+#        'this is the second element of a tuple'):
+#            value,
+#   }
+allow_multiline_dictionary_keys=False
+
+# Allow lambdas to be formatted on more than one line.
+allow_multiline_lambdas=False
+
+# Allow splitting before a default / named assignment in an argument list.
+allow_split_before_default_or_named_assigns=True
+
+# Allow splits before the dictionary value.
+allow_split_before_dict_value=True
+
+#   Let spacing indicate operator precedence. For example:
+#
+#     a = 1 * 2 + 3 / 4
+#     b = 1 / 2 - 3 * 4
+#     c = (1 + 2) * (3 - 4)
+#     d = (1 - 2) / (3 + 4)
+#     e = 1 * 2 - 3
+#     f = 1 + 2 + 3 + 4
+#
+# will be formatted as follows to indicate precedence:
+#
+#     a = 1*2 + 3/4
+#     b = 1/2 - 3*4
+#     c = (1+2) * (3-4)
+#     d = (1-2) / (3+4)
+#     e = 1*2 - 3
+#     f = 1 + 2 + 3 + 4
+#
+arithmetic_precedence_indication=False
+
+# Number of blank lines surrounding top-level function and class
+# definitions.
+blank_lines_around_top_level_definition=2
+
+# Insert a blank line before a class-level docstring.
+blank_line_before_class_docstring=False
+
+# Insert a blank line before a module docstring.
+blank_line_before_module_docstring=False
+
+# Insert a blank line before a 'def' or 'class' immediately nested
+# within another 'def' or 'class'. For example:
+#
+#   class Foo:
+#                      # <------ this blank line
+#     def method():
+#       ...
+blank_line_before_nested_class_or_def=True
+
+# Do not split consecutive brackets. Only relevant when
+# dedent_closing_brackets is set. For example:
+#
+#    call_func_that_takes_a_dict(
+#        {
+#            'key1': 'value1',
+#            'key2': 'value2',
+#        }
+#    )
+#
+# would reformat to:
+#
+#    call_func_that_takes_a_dict({
+#        'key1': 'value1',
+#        'key2': 'value2',
+#    })
+coalesce_brackets=False
+
+# The column limit.
+column_limit=80
+
+# The style for continuation alignment. Possible values are:
+#
+# - SPACE: Use spaces for continuation alignment. This is default behavior.
+# - FIXED: Use fixed number (CONTINUATION_INDENT_WIDTH) of columns
+#   (ie: CONTINUATION_INDENT_WIDTH/INDENT_WIDTH tabs) for continuation
+#   alignment.
+# - VALIGN-RIGHT: Vertically align continuation lines with indent
+#   characters. Slightly right (one more indent character) if cannot
+#   vertically align continuation lines with indent characters.
+#
+# For options FIXED, and VALIGN-RIGHT are only available when USE_TABS is
+# enabled.
+continuation_align_style=SPACE
+
+# Indent width used for line continuations.
+continuation_indent_width=4
+
+# Put closing brackets on a separate line, dedented, if the bracketed
+# expression can't fit in a single line. Applies to all kinds of brackets,
+# including function definitions and calls. For example:
+#
+#   config = {
+#       'key1': 'value1',
+#       'key2': 'value2',
+#   }        # <--- this bracket is dedented and on a separate line
+#
+#   time_series = self.remote_client.query_entity_counters(
+#       entity='dev3246.region1',
+#       key='dns.query_latency_tcp',
+#       transform=Transformation.AVERAGE(window=timedelta(seconds=60)),
+#       start_ts=now()-timedelta(days=3),
+#       end_ts=now(),
+#   )        # <--- this bracket is dedented and on a separate line
+dedent_closing_brackets=False
+
+# Disable the heuristic which places each list element on a separate line
+# if the list is comma-terminated.
+disable_ending_comma_heuristic=False
+
+# Place each dictionary entry onto its own line.
+each_dict_entry_on_separate_line=True
+
+# The regex for an i18n comment. The presence of this comment stops
+# reformatting of that line, because the comments are required to be
+# next to the string they translate.
+i18n_comment=#\..*
+
+# The i18n function call names. The presence of this function stops
+# reformattting on that line, because the string it has cannot be moved
+# away from the i18n comment.
+i18n_function_call=N_, _
+
+# Indent blank lines.
+indent_blank_lines=False
+
+# Put closing brackets on a separate line, indented, if the bracketed
+# expression can't fit in a single line. Applies to all kinds of brackets,
+# including function definitions and calls. For example:
+#
+#   config = {
+#       'key1': 'value1',
+#       'key2': 'value2',
+#       }        # <--- this bracket is indented and on a separate line
+#
+#   time_series = self.remote_client.query_entity_counters(
+#       entity='dev3246.region1',
+#       key='dns.query_latency_tcp',
+#       transform=Transformation.AVERAGE(window=timedelta(seconds=60)),
+#       start_ts=now()-timedelta(days=3),
+#       end_ts=now(),
+#       )        # <--- this bracket is indented and on a separate line
+indent_closing_brackets=False
+
+# Indent the dictionary value if it cannot fit on the same line as the
+# dictionary key. For example:
+#
+#   config = {
+#       'key1':
+#           'value1',
+#       'key2': value1 +
+#               value2,
+#   }
+indent_dictionary_value=True
+
+# The number of columns to use for indentation.
+indent_width=4
+
+# Join short lines into one line. E.g., single line 'if' statements.
+join_multiple_lines=False
+
+# Do not include spaces around selected binary operators. For example:
+#
+#   1 + 2 * 3 - 4 / 5
+#
+# will be formatted as follows when configured with "*,/":
+#
+#   1 + 2*3 - 4/5
+no_spaces_around_selected_binary_operators=
+
+# Use spaces around default or named assigns.
+spaces_around_default_or_named_assign=False
+
+# Use spaces around the power operator.
+spaces_around_power_operator=False
+
+# The number of spaces required before a trailing comment.
+# This can be a single value (representing the number of spaces
+# before each trailing comment) or list of values (representing
+# alignment column values; trailing comments within a block will
+# be aligned to the first column value that is greater than the maximum
+# line length within the block). For example:
+#
+# With spaces_before_comment=5:
+#
+#   1 + 1 # Adding values
+#
+# will be formatted as:
+#
+#   1 + 1     # Adding values <-- 5 spaces between the end of the statement and comment
+#
+# With spaces_before_comment=15, 20:
+#
+#   1 + 1 # Adding values
+#   two + two # More adding
+#
+#   longer_statement # This is a longer statement
+#   short # This is a shorter statement
+#
+#   a_very_long_statement_that_extends_beyond_the_final_column # Comment
+#   short # This is a shorter statement
+#
+# will be formatted as:
+#
+#   1 + 1          # Adding values <-- end of line comments in block aligned to col 15
+#   two + two      # More adding
+#
+#   longer_statement    # This is a longer statement <-- end of line comments in block aligned to col 20
+#   short               # This is a shorter statement
+#
+#   a_very_long_statement_that_extends_beyond_the_final_column  # Comment <-- the end of line comments are aligned based on the line length
+#   short                                                       # This is a shorter statement
+#
+spaces_before_comment=2
+
+# Insert a space between the ending comma and closing bracket of a list,
+# etc.
+space_between_ending_comma_and_closing_bracket=False
+
+# Split before arguments
+split_all_comma_separated_values=False
+
+# Split before arguments, but do not split all subexpressions recursively
+# (unless needed).
+split_all_top_level_comma_separated_values=False
+
+# Split before arguments if the argument list is terminated by a
+# comma.
+split_arguments_when_comma_terminated=False
+
+# Set to True to prefer splitting before '+', '-', '*', '/', '//', or '@'
+# rather than after.
+split_before_arithmetic_operator=False
+
+# Set to True to prefer splitting before '&', '|' or '^' rather than
+# after.
+split_before_bitwise_operator=False
+
+# Split before the closing bracket if a list or dict literal doesn't fit on
+# a single line.
+split_before_closing_bracket=True
+
+# Split before a dictionary or set generator (comp_for). For example, note
+# the split before the 'for':
+#
+#   foo = {
+#       variable: 'Hello world, have a nice day!'
+#       for variable in bar if variable != 42
+#   }
+split_before_dict_set_generator=False
+
+# Split before the '.' if we need to split a longer expression:
+#
+#   foo = ('This is a really long string: {}, {}, {}, {}'.format(a, b, c, d))
+#
+# would reformat to something like:
+#
+#   foo = ('This is a really long string: {}, {}, {}, {}'
+#          .format(a, b, c, d))
+split_before_dot=False
+
+# Split after the opening paren which surrounds an expression if it doesn't
+# fit on a single line.
+split_before_expression_after_opening_paren=False
+
+# If an argument / parameter list is going to be split, then split before
+# the first argument.
+split_before_first_argument=False
+
+# Set to True to prefer splitting before 'and' or 'or' rather than
+# after.
+split_before_logical_operator=False
+
+# Split named assignments onto individual lines.
+split_before_named_assigns=True
+
+# Set to True to split list comprehensions and generators that have
+# non-trivial expressions and multiple clauses before each of these
+# clauses. For example:
+#
+#   result = [
+#       a_long_var + 100 for a_long_var in xrange(1000)
+#       if a_long_var % 10]
+#
+# would reformat to something like:
+#
+#   result = [
+#       a_long_var + 100
+#       for a_long_var in xrange(1000)
+#       if a_long_var % 10]
+split_complex_comprehension=True
+
+# The penalty for splitting right after the opening bracket.
+split_penalty_after_opening_bracket=300
+
+# The penalty for splitting the line after a unary operator.
+split_penalty_after_unary_operator=10000
+
+# The penalty of splitting the line around the '+', '-', '*', '/', '//',
+# ``%``, and '@' operators.
+split_penalty_arithmetic_operator=300
+
+# The penalty for splitting right before an if expression.
+split_penalty_before_if_expr=0
+
+# The penalty of splitting the line around the '&', '|', and '^'
+# operators.
+split_penalty_bitwise_operator=300
+
+# The penalty for splitting a list comprehension or generator
+# expression.
+split_penalty_comprehension=2100
+
+# The penalty for characters over the column limit.
+split_penalty_excess_character=7000
+
+# The penalty incurred by adding a line split to the unwrapped line. The
+# more line splits added the higher the penalty.
+split_penalty_for_added_line_split=30
+
+# The penalty of splitting a list of "import as" names. For example:
+#
+#   from a_very_long_or_indented_module_name_yada_yad import (long_argument_1,
+#                                                             long_argument_2,
+#                                                             long_argument_3)
+#
+# would reformat to something like:
+#
+#   from a_very_long_or_indented_module_name_yada_yad import (
+#       long_argument_1, long_argument_2, long_argument_3)
+split_penalty_import_names=0
+
+# The penalty of splitting the line around the 'and' and 'or'
+# operators.
+split_penalty_logical_operator=300
+
+# Use the Tab character for indentation.
+use_tabs=False
+
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..bb45938
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,107 @@
+# FROM python:3.6-stretch
+# FROM python:3.8-buster  # needs pip install numpy
+# FROM python:3.7-stretch
+FROM ubuntu:latest
+
+# the chmod will
+# resolve PermissionError on heroku
+# more context in issue #100
+# TODO: make chmod less insecure by only setting needed permissions
+ENV DEBIAN_FRONTEND=noninteractive 
+RUN apt-get update \
+  && apt-get install -y python3-pip python3-dev certbot cron git \
+  && cd /usr/local/bin \
+  && ln -s /usr/bin/python3 python \
+  && pip3 install --upgrade pip \
+  && chmod 777 /usr/lib/python3/dist-packages/* 
+
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
+# put the requirements file into the container
+ADD requirements.txt /nimbus/requirements.txt
+
+# install the requirements in the container
+RUN pip3 install -r /nimbus/requirements.txt \
+  && chmod 777 /usr/lib/python3/dist-packages/*
+
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
+# This will cause us to be rate limited after 5 deploys per week - commenting out for now.
+# RUN certbot certonly -d nimbus.api.calpolycsai.com -n --standalone --agree-tos --email cpcsai.nimbus@gmail.com
+
+# put all the code into nimbus folder
+ADD . /nimbus
+
+# # https://devcenter.heroku.com/articles/container-registry-and-runtime#unsupported-dockerfile-commands
+# # Expose is NOT supported by Heroku
+EXPOSE 443:443
+
+# need to declare the --build-arg that gets passed in
+# for ENV to work properly
+ARG DATABASE_HOSTNAME
+ARG DATABASE_PASSWORD
+ARG DATABASE_USERNAME
+ARG DATABASE_NAME
+ARG PYDRIVE_CLIENT_ID
+ARG PYDRIVE_CLIENT_SECRET
+ARG GOOGLE_DRIVE_CREDENTIALS
+ARG GOOGLE_DRIVE_FOLDER_ID
+ARG GOOGLE_CLOUD_NLP_CREDENTIALS
+ARG GOOGLE_CLOUD_NLP_MODEL_NAME
+ARG GIT_SSH_CERT
+ARG PORT
+
+# env variables needed for the setup...py
+ENV DATABASE_HOSTNAME ${DATABASE_HOSTNAME}
+ENV DATABASE_PASSWORD ${DATABASE_PASSWORD}
+ENV DATABASE_USERNAME ${DATABASE_USERNAME}
+ENV DATABASE_NAME ${DATABASE_NAME}
+ENV PYDRIVE_CLIENT_ID ${PYDRIVE_CLIENT_ID}
+ENV PYDRIVE_CLIENT_SECRET ${PYDRIVE_CLIENT_SECRET}
+ENV GOOGLE_DRIVE_CREDENTIALS ${GOOGLE_DRIVE_CREDENTIALS}
+ENV GOOGLE_DRIVE_FOLDER_ID ${GOOGLE_DRIVE_FOLDER_ID}
+ENV GOOGLE_CLOUD_NLP_CREDENTIALS ${GOOGLE_CLOUD_NLP_CREDENTIALS}
+ENV GOOGLE_CLOUD_NLP_MODEL_NAME ${GOOGLE_CLOUD_NLP_MODEL_NAME}
+ENV GIT_SSH_CERT ${GIT_SSH_CERT}
+ENV PORT ${PORT}
+
+
+# need set WORKDIR for setup...py to save config.json to right place
+WORKDIR /nimbus
+
+# generate all the special configuration files
+RUN ./setup_special_files_from_env.py
+
+## download the nlp stuff
+# RUN ./download_nlp_stuff.sh
+#
+## download the nltk stuff
+# RUN python3 download_nltk_stuff.py
+
+# the above "download..." scripts were inconsistent on herkou
+# so lets download the required stuff directly
+RUN python -m pip install --upgrade urllib3 && python3 -m spacy download en_core_web_sm
+# TODO: consider en_core_web_lg or en_core_web_md because server can handle it
+# RUN python3 -m spacy download en_core_web_lg
+RUN python3 -m nltk.downloader punkt
+RUN python3 -m nltk.downloader averaged_perceptron_tagger 
+
+# just make sure the file is there
+RUN ls | grep config
+
+# need set WORKDIR for gunicorn
+WORKDIR /nimbus
+
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
+# setup SSH keys correctly
+RUN /nimbus/setup_letsencrypt.sh
+
+# https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
+# Heroku will set the PORT environment variable
+# the gunicorn_config.py will check the env vars for PORT
+# else it will do port=8080
+CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]
diff --git a/Dockerfile_heroku b/Dockerfile_heroku
new file mode 100644
index 0000000..cc3aa9b
--- /dev/null
+++ b/Dockerfile_heroku
@@ -0,0 +1,96 @@
+# FROM python:3.6-stretch
+# FROM python:3.8-buster  # needs pip install numpy
+# FROM python:3.7-stretch
+FROM ubuntu:bionic
+RUN apt update
+
+# the chmod will
+# resolve PermissionError on heroku
+# more context in issue #100
+# TODO: make chmod less insecure by only setting needed permissions
+RUN apt-get update \
+  && apt-get install -y python3-pip python3-dev \
+  && cd /usr/local/bin \
+  && ln -s /usr/bin/python3 python \
+  && pip3 install --upgrade pip \
+  && chmod 777 /usr/lib/python3/dist-packages/*
+
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
+# put the requirements file into the container
+ADD requirements.txt /nimbus/requirements.txt
+
+# install the requirements in the container
+RUN pip install -r /nimbus/requirements.txt \
+  && chmod 777 /usr/lib/python3/dist-packages/*
+
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
+# put all the code into nimbus folder
+ADD . /nimbus
+
+# # https://devcenter.heroku.com/articles/container-registry-and-runtime#unsupported-dockerfile-commands
+# # Expose is NOT supported by Heroku
+# EXPOSE 8080
+
+# need to declare the --build-arg that gets passed in
+# for ENV to work properly
+ARG DATABASE_HOSTNAME
+ARG DATABASE_PASSWORD
+ARG DATABASE_USERNAME
+ARG DATABASE_NAME
+ARG PYDRIVE_CLIENT_ID
+ARG PYDRIVE_CLIENT_SECRET
+ARG GOOGLE_DRIVE_CREDENTIALS
+ARG GOOGLE_DRIVE_FOLDER_ID
+ARG GOOGLE_CLOUD_NLP_CREDENTIALS
+ARG GOOGLE_CLOUD_NLP_MODEL_NAME
+
+# env variables needed for the setup...py
+ENV DATABASE_HOSTNAME ${DATABASE_HOSTNAME}
+ENV DATABASE_PASSWORD ${DATABASE_PASSWORD}
+ENV DATABASE_USERNAME ${DATABASE_USERNAME}
+ENV DATABASE_NAME ${DATABASE_NAME}
+ENV PYDRIVE_CLIENT_ID ${PYDRIVE_CLIENT_ID}
+ENV PYDRIVE_CLIENT_SECRET ${PYDRIVE_CLIENT_SECRET}
+ENV GOOGLE_DRIVE_CREDENTIALS ${GOOGLE_DRIVE_CREDENTIALS}
+ENV GOOGLE_DRIVE_FOLDER_ID ${GOOGLE_DRIVE_FOLDER_ID}
+ENV GOOGLE_CLOUD_NLP_CREDENTIALS ${GOOGLE_CLOUD_NLP_CREDENTIALS}
+ENV GOOGLE_CLOUD_NLP_MODEL_NAME ${GOOGLE_CLOUD_NLP_MODEL_NAME}
+
+# need set WORKDIR for setup...py to save config.json to right place
+WORKDIR /nimbus
+
+# generate all the special configuration files
+RUN ./setup_special_files_from_env.py
+
+## download the nlp stuff
+# RUN ./download_nlp_stuff.sh
+#
+## download the nltk stuff
+# RUN python3 download_nltk_stuff.py
+
+# the above "download..." scripts were inconsistent on herkou
+# so lets download the required stuff directly
+RUN python3 -m spacy download en_core_web_sm  
+# TODO: consider en_core_web_lg or en_core_web_md because server can handle it
+# RUN python3 -m spacy download en_core_web_lg
+RUN python3 -m nltk.downloader punkt
+RUN python3 -m nltk.downloader averaged_perceptron_tagger 
+
+# just make sure the file is there
+RUN ls | grep config
+
+# need set WORKDIR for gunicorn
+WORKDIR /nimbus
+
+# verify permissions set
+RUN ls -lah /usr/lib/python3/dist-packages/
+
+# https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
+# Heroku will set the PORT environment variable
+# the gunicorn_config.py will check the env vars for PORT
+# else it will do port=8080
+CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]
\ No newline at end of file
diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
new file mode 100644
index 0000000..780afa8
--- /dev/null
+++ b/Entity/AudioSampleMetaData.py
@@ -0,0 +1,48 @@
+from sqlalchemy import Column, Integer, String, Text, Enum, Boolean
+from sqlalchemy.ext.declarative import declarative_base
+import enum
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class NoiseLevel(enum.Enum):
+    quiet = 1
+    medium = 2
+    loud = 3
+
+
+class AudioSampleMetaData(Base):
+    __tablename__ = "AudioSampleMetaData"
+    id = Column(Integer, primary_key=True)
+    # SQLAlchemy resolves Boolean to TINYINT within MYSQL
+    is_wake_word = Column(Boolean)
+    # TODO: run a magical SQL script that support emojis in first_name
+    first_name = Column(String(255))
+    last_name = Column(String(255))
+    gender = Column(String(3))
+    noise_level = Column(Enum(NoiseLevel))
+    location = Column(String(255))
+    tone = Column(String(255))
+    timestamp = Column(Integer)
+    username = Column(String(255))
+    # Text chosen because filename is standarized concatenation of above fields
+    filename = Column(Text)
+    is_view = False
+
+    def __repr__(self):
+        string = "<AudioSampleMetaData ( id={}, is_wake_word={}, "
+        string += "first_name={}, last_name={}, gender={}, noise_level={}, "
+        string += "location={}, tone={}, timestamp={}, username={} )>"
+        return string.format(
+            self.id,
+            self.is_wake_word,
+            self.first_name,
+            self.last_name,
+            self.gender,
+            self.noise_level,
+            self.location,
+            self.tone,
+            self.timestamp,
+            self.username,
+        )
diff --git a/Entity/Calendars.py b/Entity/Calendars.py
new file mode 100644
index 0000000..dff0b5b
--- /dev/null
+++ b/Entity/Calendars.py
@@ -0,0 +1,22 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class Calendars(Base):
+    __tablename__ = "Calendars"
+
+    calendar_id = Column(Integer, primary_key=True)
+    date = Column(String(10))
+    day = Column(Integer)
+    month = Column(String(10))
+    year = Column(Integer)
+    raw_events_text = Column(Text)
+    is_view = False
+
+    def __repr__(self):
+        return "<Calendars (date={}, events={})>".format(
+            self.date, self.raw_events_text
+        )
diff --git a/Entity/Clubs.py b/Entity/Clubs.py
new file mode 100644
index 0000000..34bfa4e
--- /dev/null
+++ b/Entity/Clubs.py
@@ -0,0 +1,29 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class Clubs(Base):
+    __tablename__ = "Clubs"
+    id_clubs = Column(Integer, primary_key=True)
+    club_name = Column(String(255))
+    types = Column(String(255))
+    desc = Column(Text)
+    contact_email = Column(String(255))
+    contact_email_2 = Column(String(255))
+    contact_person = Column(String(255))
+    # TODO: how big can a phone number be including extionsions and formatting?
+    contact_phone = Column(String(255))
+    box = Column(String(3))
+    advisor = Column(String(255))
+    affiliation = Column(String(255))
+    is_view = False
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/Corequisites.py b/Entity/Corequisites.py
new file mode 100644
index 0000000..3b5b942
--- /dev/null
+++ b/Entity/Corequisites.py
@@ -0,0 +1,5 @@
+class Corequisites:
+    def __init__(self, courseId, coreqCourse):
+        self.courseId = courseId
+        self.coreqCourse = coreqCourse
+        self.is_view = False
diff --git a/Entity/Corrections.py b/Entity/Corrections.py
new file mode 100644
index 0000000..0fb7c0e
--- /dev/null
+++ b/Entity/Corrections.py
@@ -0,0 +1,15 @@
+class Corrections:
+    def __init__(
+        self,
+        correctionId,
+        rawText,
+        correctionText,
+        tableNameToCorrect,
+        columnNameToCorrect,
+    ):
+        self.correctionId = correctionId
+        self.rawText = rawText
+        self.correctionText = correctionText
+        self.tableNameToCorrect = tableNameToCorrect
+        self.columnNameToCorrect = columnNameToCorrect
+        self.is_view = False
\ No newline at end of file
diff --git a/Entity/Courses.py b/Entity/Courses.py
new file mode 100644
index 0000000..6fe7e4c
--- /dev/null
+++ b/Entity/Courses.py
@@ -0,0 +1,38 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.dialects.mysql import SET
+import enum
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class CollegeStanding(enum.Enum):
+    """
+    https://docs.sqlalchemy.org/en/13/core/type_basics.html#sqlalchemy.types.Enum
+    """
+
+    first_year = freshman = FR = 1  # 'FReshman'
+    second_year = sophomore = SO = 2  # 'SOphomore'
+    third_year = junior = JR = 3  # 'JunioR'
+    fourth_year = senior = SR = 4  # 'SenioR'
+    graduate = GR = 5  # 'GRaduate'
+    not_applicable = NA = 6  # 'NotApplicable/Unknown'
+
+
+class Courses(Base):
+    __tablename__ = "Courses"
+    # TODO: update schema and this Courses class to follow snake_case convention
+    id = Column(Integer, primary_key=True)
+    dept = Column(String(5))
+    courseNum = Column(Integer)
+    termsOffered = Column(SET("F", "W", "SP", "SU", "TBD"))
+    units = Column(String(5))
+    courseName = Column(String(255))
+    raw_concurrent_text = Column(Text)
+    raw_recommended_text = Column(Text)
+    raw_prerequisites_text = Column(Text)
+    is_view = False
+
+    def __repr__(self):
+        return "<Courses (dept={}, course_num={})>".format(self.dept, self.courseNum)
diff --git a/Entity/Locations.py b/Entity/Locations.py
new file mode 100644
index 0000000..4fd74ee
--- /dev/null
+++ b/Entity/Locations.py
@@ -0,0 +1,19 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class Locations(Base):
+    __tablename__ = "Locations"
+    location_id = Column(Integer, primary_key=True)
+    building_number = Column(String(5))
+    name = Column(String(100))
+    longitude = Column(String(255))
+    latitude = Column(String(255))
+    is_view = False
+
+    def __repr__(self):
+        return "<Locations (building_number = {}, name = {}, longitude = {}, latitude = {})>".format(
+            self.building_number, self.name, self.longitude, self.latitude
+        )
diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
new file mode 100644
index 0000000..04a23a3
--- /dev/null
+++ b/Entity/OfficeHours.py
@@ -0,0 +1,43 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class OfficeHours(Base):
+    __tablename__ = "OfficeHours"
+
+    id = Column(Integer, primary_key=True)
+    Name = Column(Text)
+    Office = Column(Text)
+    Email = Column(Text)
+    Monday = Column(Text)
+    Tuesday = Column(Text)
+    Wednesday = Column(Text)
+    Thursday = Column(Text)
+    Friday = Column(Text)
+    OfficeHours = Column(Text)
+    Phone = Column(Text)
+    Platform = Column(Text)
+    LatestQuarter = Column(Text)
+    is_view = False
+
+    def __repr__(self):
+        return "<Office Hours (Name={}, Office={}, Email={}, Monday={}, Tuesday={}, Wednesday={}, Thursday={}, Friday={})>".format(
+            self.Name,
+            self.Office,
+            self.Email,
+            self.Monday,
+            self.Tuesday,
+            self.Wednesday,
+            self.Thursday,
+            self.Friday,
+        )
+
+
+if __name__ == "__main__":
+
+    oh = OfficeHours()
+
+    print(oh)
diff --git a/Entity/PolyRatings.py b/Entity/PolyRatings.py
new file mode 100644
index 0000000..0b16e68
--- /dev/null
+++ b/Entity/PolyRatings.py
@@ -0,0 +1,10 @@
+# PolyRatings
+
+
+class PolyRating:
+    def __init__(self, id, avgRating, numRatings, Professors_id):
+        self.id = id
+        self.avgRating = avgRating
+        self.numRatings = numRatings
+        self.Professors_id = Professors_id
+        self.is_view = False
diff --git a/Entity/Prerequisites.py b/Entity/Prerequisites.py
new file mode 100644
index 0000000..86b3f66
--- /dev/null
+++ b/Entity/Prerequisites.py
@@ -0,0 +1,5 @@
+class Prerequisites:
+    def __init__(self, courseId, prereqCourse):
+        self.courseId = courseId
+        self.prereqCourse = prereqCourse
+        self.is_view = False
\ No newline at end of file
diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
new file mode 100644
index 0000000..b6b6796
--- /dev/null
+++ b/Entity/ProfessorSectionView.py
@@ -0,0 +1,46 @@
+from sqlalchemy import Column, Integer, String, Enum, Text
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.dialects.mysql import SET
+import enum
+
+Base = declarative_base()
+
+
+class SectionType(enum.Enum):
+    activity = Act = 0
+    seminar = Sem = 1
+    independent = Ind = 2
+    lab = 3
+    lecture = Lec = 4
+
+
+class ProfessorSectionView(Base):
+    __tablename__ = "Professor_Teaches_Section"
+    id_sections = Column(Integer)
+    profAliasId = Column(Integer)
+    section_name = Column(String(255), primary_key=True)
+    instructor = Column(String(255))
+    profEmailAlias = Column(String(255))
+    title = Column(String(255))
+    phone = Column(String(255))
+    office = Column(String(255))
+    type = Column(Enum(SectionType))
+    days = Column(SET("M", "T", "W", "R", "F"))
+    start = Column(String(255))
+    end = Column(String(255))
+    location = Column(String(255))
+    department = Column(String(255))
+    firstName = Column(String(50))
+    lastName = Column(String(50))
+    phoneNumber = Column(String(20))
+    researchInterests = Column(Text)
+    email = Column(String(255))
+    is_view = True
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/Professors.py b/Entity/Professors.py
new file mode 100644
index 0000000..7f6dd1c
--- /dev/null
+++ b/Entity/Professors.py
@@ -0,0 +1,25 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+import enum
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class Professors(Base):
+    __tablename__ = "Professors"
+    id = Column(Integer, primary_key=True)
+    firstName = Column(String(50))
+    lastName = Column(String(50))
+    phoneNumber = Column(String(20))
+    researchInterests = Column(Text)
+    email = Column(String(255))
+    is_view = False
+
+
+class ProfessorsProperties(enum.Enum):
+    firstName = Professors.firstName
+    lastName = Professors.lastName
+    phoneNumber = Professors.phoneNumber
+    researchInterests = Professors.researchInterests
+    email = Professors.email
diff --git a/Entity/Profs.py b/Entity/Profs.py
new file mode 100644
index 0000000..360fb7d
--- /dev/null
+++ b/Entity/Profs.py
@@ -0,0 +1,29 @@
+from sqlalchemy import Column, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class Profs(Base):
+    __tablename__ = "Profs"
+    firstName = Column(String(50))
+    lastName = Column(String(50))
+    phoneNumber = Column(String(20))
+    researchInterests = Column(Text)
+    email = Column(String(255), primary_key=True)
+    OfficeHours = Column(Text)
+    Platform = Column(Text)
+    LatestQuarter = Column(Text)
+    Office = Column(Text)
+    department = Column(String(255))
+    title = Column(String(255))
+    is_view = True
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/QueryFeedback.py b/Entity/QueryFeedback.py
new file mode 100644
index 0000000..da5abd4
--- /dev/null
+++ b/Entity/QueryFeedback.py
@@ -0,0 +1,29 @@
+from sqlalchemy import Column, DateTime, Text, Enum, Integer
+from sqlalchemy.ext.declarative import declarative_base
+import enum
+from Entity.QuestionAnswerPair import AnswerType
+
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class QueryFeedback(Base):
+    __tablename__ = "QueryFeedback"
+    id = Column(Integer, primary_key=True)
+    question = Column(Text)
+    answer = Column(Text)
+    answer_type = Column(Enum(AnswerType))
+    timestamp = Column(DateTime)
+    is_view = False
+
+    def __repr__(self):
+        """
+        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
+        """
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"  # noqa
diff --git a/Entity/QuestionAnswerPair.py b/Entity/QuestionAnswerPair.py
new file mode 100644
index 0000000..9e730e5
--- /dev/null
+++ b/Entity/QuestionAnswerPair.py
@@ -0,0 +1,41 @@
+from sqlalchemy import Column, Integer, Text, Enum, Boolean
+from sqlalchemy.ext.declarative import declarative_base
+import enum
+
+# This is the way SQLAlchemy initializes their special classes
+Base = declarative_base()
+
+
+class AnswerType(enum.Enum):
+    """
+    The Nimbus club spent many hours manually categorizing
+    many question_formats as one of the following AnswerTypes
+    """
+
+    fact = 1  # a simple property of a Nimbus entity.
+    related = 2  # a property of two or more related Nimbus entities.
+    statistics = 3  # an aggregation of a property of a Nimbus entity
+    other = 4  # something difficult or unknown.
+
+
+class QuestionAnswerPair(Base):
+    __tablename__ = "QuestionAnswerPair"
+    id = Column(Integer, primary_key=True)
+    # SQLAlchemy resolves Boolean to TINYINT within MYSQL
+    can_we_answer = Column(Boolean)
+    verified = Column(Boolean)
+    answer_type = Column(Enum(AnswerType))
+    question_format = Column(Text)
+    answer_format = Column(Text)
+    is_view = False
+
+    def __repr__(self):
+        """
+        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
+        """
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"  # noqa
diff --git a/Entity/Sections.py b/Entity/Sections.py
new file mode 100644
index 0000000..e4f1609
--- /dev/null
+++ b/Entity/Sections.py
@@ -0,0 +1,40 @@
+from sqlalchemy import Column, Integer, String, Enum
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.dialects.mysql import SET
+import enum
+
+Base = declarative_base()
+
+
+class SectionType(enum.Enum):
+    activity = Act = 0
+    seminar = Sem = 1
+    independent = Ind = 2
+    lab = 3
+    lecture = Lec = 4
+
+
+class Sections(Base):
+    __tablename__ = "Sections"
+    id_sections = Column(Integer, primary_key=True)
+    section_name = Column(String(255))
+    instructor = Column(String(255))
+    alias = Column(String(255))
+    title = Column(String(255))
+    phone = Column(String(255))
+    office = Column(String(255))
+    type = Column(Enum(SectionType))
+    days = Column(SET("M", "T", "W", "R", "F"))
+    start = Column(String(255))
+    end = Column(String(255))
+    location = Column(String(255))
+    department = Column(String(255))
+    is_view = False
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/__init__.py b/Entity/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..3a98632
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,10 @@
+all:
+	#
+	# let's `make` life easier xD
+	# 
+	pip3 install invoke
+	invoke list
+
+
+docker:
+	invoke docker
diff --git a/Pipfile b/Pipfile
new file mode 100644
index 0000000..8390cfa
--- /dev/null
+++ b/Pipfile
@@ -0,0 +1,66 @@
+[[source]]
+name = "pypi"
+url = "https://pypi.org/simple"
+verify_ssl = true
+
+[dev-packages]
+## mostly used in tests
+requests = "==2.23.0"
+## auto formatter
+### may need to run 
+### `pipenv lock --pre`
+### or 
+### `pipenv install --pre` 
+### to "Allow pre-releases" for black
+black = "==19.10b0" 
+## linter
+flake8 = "==3.7.9"
+## testing
+hypothesis = "==5.3.1"
+pytest = "==5.3.4"
+## type-checking
+pyre-check = "==0.0.41"
+## like the Unix `make` but better
+invoke = "==1.4.1"
+coverage = "*"
+
+[packages]
+# REST API
+## minimal framework
+Flask = "==1.1.1"
+## for security
+Flask-Cors = "==3.0.8"
+## used with flask in deployment
+gunicorn = "==20.0.4"
+## simple JSON (de)serialization
+marshmallow = "*"
+# save to google drive
+PyDrive = "==1.3.1"
+# database
+## mysql client
+mysql-connector-python = "==8.0.18"
+## object-relational mapper
+SQLAlchemy = "==1.3.13"
+# QA.py
+pandas = "==1.0.1"
+fuzzywuzzy = "==0.18.0"
+python-Levenshtein = "==0.12.0"
+# natural language processing
+google-api-core = "==1.16.0"
+google-cloud = "==0.34.0"
+google-cloud-automl = "==0.10.0"
+nltk = "==3.4.5"
+spacy = "==2.2.3"
+scikit-learn = "==0.20.2"
+# misc
+## used to generate settings.yml
+PyYAML = "==5.3"
+## avoid  PermissionError: [Errno 13] Permission denied
+## for more context see issue #100
+six = "==1.11.0"
+idna = "==2.6"
+## because google-auth 1.11.2 wants setuptools>=40.3.0
+setuptools = ">=40.3.0"
+
+[requires]
+python_version = "3.6"
diff --git a/Pipfile.lock b/Pipfile.lock
new file mode 100644
index 0000000..b539c93
--- /dev/null
+++ b/Pipfile.lock
@@ -0,0 +1,1111 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "9129a404b7674ce8ccf71d139fa02779d6b960bd79d29f28673cb51c8d806fe4"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.6"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "blis": {
+            "hashes": [
+                "sha256:00473602629ba69fe6565108e21957e918cb48b59f5bf2f6bfb6e04de42500cb",
+                "sha256:03c368c9716ca814c436550a5f1e02ccf74850e613602519e3941d212e5aa177",
+                "sha256:135450caabc8aea9bb9250329ebdf7189982d9b57d5c92789b2ba2fe52c247a7",
+                "sha256:1402d9cbb0fbc21b749dd5b87d7ee14249e74a0ca38be6ecc56b3b356fca2f21",
+                "sha256:26b16d6005bb2671699831b5cc699905215d1abde1ec5c1d04de7dcd9eb29f75",
+                "sha256:3347a4b1b7d3ae14476aac9a6f7bf8ebf464863f4ebf4aea228874a7694ea240",
+                "sha256:38fe877a4b52e762f5e137a412e3c256545a696a12ae8c40d67b8815d2bb5097",
+                "sha256:4fb89c47ee06b58a4410a16fd5794847517262c9d2a342643475b477dfeff0a4",
+                "sha256:77a6486b9794af01bcdfd1bc6e067c93add4b93292e6f95bf6e5ce7f98bf0163",
+                "sha256:856142a11e37fd2c47c5006a3197e157bb8469a491a73d2d442223dd3279df84",
+                "sha256:8aeaf6954351593a1e412f80e398aa51df588d3c0de74b9f3323b694c603381b",
+                "sha256:9ede123065f3cacb109967755b3d83d4ca0de90643a9058129a6ab2d4051954f",
+                "sha256:d1d59faebc1c94f8f4f77154ef4b9d6d40364b111cf8fde48ee3b524c85f1075",
+                "sha256:d69257d317e86f34a7f230a2fd1f021fd2a1b944137f40d8cdbb23bd334cd0c4",
+                "sha256:ddd732c5274d1082fa92e2c42317587d5ebabce7741ca98120f69bd45d004b99",
+                "sha256:f0b0dad4d6268d9dba0a65a9db12dd7a2d8686b648399e4aa1aec7550697e99e"
+            ],
+            "version": "==0.4.1"
+        },
+        "cachetools": {
+            "hashes": [
+                "sha256:9a52dd97a85f257f4e4127f15818e71a0c7899f121b34591fcc1173ea79a0198",
+                "sha256:b304586d357c43221856be51d73387f93e2a961598a9b6b6670664746f3b6c6c"
+            ],
+            "version": "==4.0.0"
+        },
+        "catalogue": {
+            "hashes": [
+                "sha256:584d78e7f4c3c6e2fd498eb56dfc8ef1f4ff738480237de2ccd26cbe2cf47172",
+                "sha256:d74d1d856c6b36a37bf14aa6dbbc27d0582667b7ab979a6108e61a575e8723f5"
+            ],
+            "version": "==1.0.0"
+        },
+        "certifi": {
+            "hashes": [
+                "sha256:017c25db2a153ce562900032d5bc68e9f191e44e9a0f762f373977de9df1fbb3",
+                "sha256:25b64c7da4cd7479594d035c08c2d809eb4aab3a26e5a990ea98cc450c320f1f"
+            ],
+            "version": "==2019.11.28"
+        },
+        "chardet": {
+            "hashes": [
+                "sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
+                "sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
+            ],
+            "version": "==3.0.4"
+        },
+        "click": {
+            "hashes": [
+                "sha256:8a18b4ea89d8820c5d0c7da8a64b2c324b4dabb695804dbfea19b9be9d88c0cc",
+                "sha256:e345d143d80bf5ee7534056164e5e112ea5e22716bbb1ce727941f4c8b471b9a"
+            ],
+            "version": "==7.1.1"
+        },
+        "cymem": {
+            "hashes": [
+                "sha256:5083b2ab5fe13ced094a82e0df465e2dbbd9b1c013288888035e24fd6eb4ed01",
+                "sha256:622c20a57701d02f01a47e856dea248e112638f28c8249dbe3ed95a9702e3d74",
+                "sha256:6f4cb689a9552e9e13dccc89203c8ab09f210a7ffb92ce27c384a4a0be27b527",
+                "sha256:719f04a11ca709fc2b47868070d79fccff77e5d502ff32de2f4baa73cb16166f",
+                "sha256:7236252bed70f37b898933dcf8aa875d0829664a245a272516f27b30439df71c",
+                "sha256:7f5ddceb12b73f7fd2e4398266401b6f887003740ccd18c989a2af04500b5f2b",
+                "sha256:85b9364e099426bd7f445a7705aad87bf6dbb71d79e3802dd8ca14e181d38a33",
+                "sha256:c288a1bbdf58c360457443e5297e74844e1961e5e7001dbcb3a5297a41911a11",
+                "sha256:cd21ec48ee70878d46c486e2f7ae94b32bfc6b37c4d27876c5a5a00c4eb75c3c",
+                "sha256:d7505c500d994f11662e5595f5002251f572acc189f18944619352e2636f5181",
+                "sha256:dd24848fbd75b17bab06408da6c029ba7cc615bd9e4a1f755fb3a090025fb922",
+                "sha256:f4f19af4bca81f11922508a9dcf30ce1d2aee4972af9f81ce8e5331a6f46f5e1"
+            ],
+            "version": "==2.0.3"
+        },
+        "flask": {
+            "hashes": [
+                "sha256:13f9f196f330c7c2c5d7a5cf91af894110ca0215ac051b5844701f2bfd934d52",
+                "sha256:45eb5a6fd193d6cf7e0cf5d8a5b31f83d5faae0293695626f539a823e93b13f6"
+            ],
+            "index": "pypi",
+            "version": "==1.1.1"
+        },
+        "flask-cors": {
+            "hashes": [
+                "sha256:72170423eb4612f0847318afff8c247b38bd516b7737adfc10d1c2cdbb382d16",
+                "sha256:f4d97201660e6bbcff2d89d082b5b6d31abee04b1b3003ee073a6fd25ad1d69a"
+            ],
+            "index": "pypi",
+            "version": "==3.0.8"
+        },
+        "fuzzywuzzy": {
+            "hashes": [
+                "sha256:45016e92264780e58972dca1b3d939ac864b78437422beecebb3095f8efd00e8",
+                "sha256:928244b28db720d1e0ee7587acf660ea49d7e4c632569cad4f1cd7e68a5f0993"
+            ],
+            "index": "pypi",
+            "version": "==0.18.0"
+        },
+        "google-api-core": {
+            "extras": [
+                "grpc"
+            ],
+            "hashes": [
+                "sha256:859f7392676761f2b160c6ee030c3422135ada4458f0948c5690a6a7c8d86294",
+                "sha256:92e962a087f1c4b8d1c5c88ade1c1dfd550047dcffb320c57ef6a534a20403e2"
+            ],
+            "index": "pypi",
+            "version": "==1.16.0"
+        },
+        "google-api-python-client": {
+            "hashes": [
+                "sha256:0f5b42a14e2d2f7dee40f2e4514531dbe95ebde9c2173b1c4040a65c427e7900",
+                "sha256:5032ad1af5046889649b3848f2e871889fbb6ae440198a549fe1699581300386"
+            ],
+            "version": "==1.8.0"
+        },
+        "google-auth": {
+            "hashes": [
+                "sha256:016924388770b7e66c7e9ade1c4c3144ee88812d79697fd6c0dad9abdfcda2fd",
+                "sha256:01d686448f57d3bc027726474faa1aa650ba333bedb392e06938b0add8ec8d3a"
+            ],
+            "version": "==1.12.0"
+        },
+        "google-auth-httplib2": {
+            "hashes": [
+                "sha256:098fade613c25b4527b2c08fa42d11f3c2037dda8995d86de0745228e965d445",
+                "sha256:f1c437842155680cf9918df9bc51c1182fda41feef88c34004bd1978c8157e08"
+            ],
+            "version": "==0.0.3"
+        },
+        "google-cloud": {
+            "hashes": [
+                "sha256:01430187cf56df10a9ba775dd547393185d4b40741db0ea5889301f8e7a9d5d3",
+                "sha256:fb1ab7b0548fe44b3d538041f0a374505b7f990d448a935ea36649c5ccab5acf"
+            ],
+            "index": "pypi",
+            "version": "==0.34.0"
+        },
+        "google-cloud-automl": {
+            "hashes": [
+                "sha256:11b65c78e7e1ede67e9e162324f249b6c566c18bb06ace54f7579ea45d18230c",
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+            "version": "==5.3"
+        },
+        "regex": {
+            "hashes": [
+                "sha256:01b2d70cbaed11f72e57c1cfbaca71b02e3b98f739ce33f5f26f71859ad90431",
+                "sha256:046e83a8b160aff37e7034139a336b660b01dbfe58706f9d73f5cdc6b3460242",
+                "sha256:113309e819634f499d0006f6200700c8209a2a8bf6bd1bdc863a4d9d6776a5d1",
+                "sha256:200539b5124bc4721247a823a47d116a7a23e62cc6695744e3eb5454a8888e6d",
+                "sha256:25f4ce26b68425b80a233ce7b6218743c71cf7297dbe02feab1d711a2bf90045",
+                "sha256:269f0c5ff23639316b29f31df199f401e4cb87529eafff0c76828071635d417b",
+                "sha256:5de40649d4f88a15c9489ed37f88f053c15400257eeb18425ac7ed0a4e119400",
+                "sha256:7f78f963e62a61e294adb6ff5db901b629ef78cb2a1cfce3cf4eeba80c1c67aa",
+                "sha256:82469a0c1330a4beb3d42568f82dffa32226ced006e0b063719468dcd40ffdf0",
+                "sha256:8c2b7fa4d72781577ac45ab658da44c7518e6d96e2a50d04ecb0fd8f28b21d69",
+                "sha256:974535648f31c2b712a6b2595969f8ab370834080e00ab24e5dbb9d19b8bfb74",
+                "sha256:99272d6b6a68c7ae4391908fc15f6b8c9a6c345a46b632d7fdb7ef6c883a2bbb",
+                "sha256:9b64a4cc825ec4df262050c17e18f60252cdd94742b4ba1286bcfe481f1c0f26",
+                "sha256:9e9624440d754733eddbcd4614378c18713d2d9d0dc647cf9c72f64e39671be5",
+                "sha256:9ff16d994309b26a1cdf666a6309c1ef51ad4f72f99d3392bcd7b7139577a1f2",
+                "sha256:b33ebcd0222c1d77e61dbcd04a9fd139359bded86803063d3d2d197b796c63ce",
+                "sha256:bba52d72e16a554d1894a0cc74041da50eea99a8483e591a9edf1025a66843ab",
+                "sha256:bed7986547ce54d230fd8721aba6fd19459cdc6d315497b98686d0416efaff4e",
+                "sha256:c7f58a0e0e13fb44623b65b01052dae8e820ed9b8b654bb6296bc9c41f571b70",
+                "sha256:d58a4fa7910102500722defbde6e2816b0372a4fcc85c7e239323767c74f5cbc",
+                "sha256:f1ac2dc65105a53c1c2d72b1d3e98c2464a133b4067a51a3d2477b28449709a0"
+            ],
+            "version": "==2020.2.20"
+        },
+        "requests": {
+            "hashes": [
+                "sha256:43999036bfa82904b6af1d99e4882b560e5e2c68e5c4b0aa03b655f3d7d73fee",
+                "sha256:b3f43d496c6daba4493e7c431722aeb7dbc6288f52a6e04e7b6023b0247817e6"
+            ],
+            "version": "==2.23.0"
+        },
+        "six": {
+            "hashes": [
+                "sha256:70e8a77beed4562e7f14fe23a786b54f6296e34344c23bc42f07b15018ff98e9",
+                "sha256:832dc0e10feb1aa2c68dcc57dbb658f1c7e65b9b61af69048abc87a2db00a0eb"
+            ],
+            "index": "pypi",
+            "version": "==1.11.0"
+        },
+        "sortedcontainers": {
+            "hashes": [
+                "sha256:974e9a32f56b17c1bac2aebd9dcf197f3eb9cd30553c5852a3187ad162e1a03a",
+                "sha256:d9e96492dd51fae31e60837736b38fe42a187b5404c16606ff7ee7cd582d4c60"
+            ],
+            "version": "==2.1.0"
+        },
+        "toml": {
+            "hashes": [
+                "sha256:229f81c57791a41d65e399fc06bf0848bab550a9dfd5ed66df18ce5f05e73d5c",
+                "sha256:235682dd292d5899d361a811df37e04a8828a5b1da3115886b73cf81ebc9100e"
+            ],
+            "version": "==0.10.0"
+        },
+        "typed-ast": {
+            "hashes": [
+                "sha256:0666aa36131496aed8f7be0410ff974562ab7eeac11ef351def9ea6fa28f6355",
+                "sha256:0c2c07682d61a629b68433afb159376e24e5b2fd4641d35424e462169c0a7919",
+                "sha256:249862707802d40f7f29f6e1aad8d84b5aa9e44552d2cc17384b209f091276aa",
+                "sha256:24995c843eb0ad11a4527b026b4dde3da70e1f2d8806c99b7b4a7cf491612652",
+                "sha256:269151951236b0f9a6f04015a9004084a5ab0d5f19b57de779f908621e7d8b75",
+                "sha256:4083861b0aa07990b619bd7ddc365eb7fa4b817e99cf5f8d9cf21a42780f6e01",
+                "sha256:498b0f36cc7054c1fead3d7fc59d2150f4d5c6c56ba7fb150c013fbc683a8d2d",
+                "sha256:4e3e5da80ccbebfff202a67bf900d081906c358ccc3d5e3c8aea42fdfdfd51c1",
+                "sha256:6daac9731f172c2a22ade6ed0c00197ee7cc1221aa84cfdf9c31defeb059a907",
+                "sha256:715ff2f2df46121071622063fc7543d9b1fd19ebfc4f5c8895af64a77a8c852c",
+                "sha256:73d785a950fc82dd2a25897d525d003f6378d1cb23ab305578394694202a58c3",
+                "sha256:8c8aaad94455178e3187ab22c8b01a3837f8ee50e09cf31f1ba129eb293ec30b",
+                "sha256:8ce678dbaf790dbdb3eba24056d5364fb45944f33553dd5869b7580cdbb83614",
+                "sha256:aaee9905aee35ba5905cfb3c62f3e83b3bec7b39413f0a7f19be4e547ea01ebb",
+                "sha256:bcd3b13b56ea479b3650b82cabd6b5343a625b0ced5429e4ccad28a8973f301b",
+                "sha256:c9e348e02e4d2b4a8b2eedb48210430658df6951fa484e59de33ff773fbd4b41",
+                "sha256:d205b1b46085271b4e15f670058ce182bd1199e56b317bf2ec004b6a44f911f6",
+                "sha256:d43943ef777f9a1c42bf4e552ba23ac77a6351de620aa9acf64ad54933ad4d34",
+                "sha256:d5d33e9e7af3b34a40dc05f498939f0ebf187f07c385fd58d591c533ad8562fe",
+                "sha256:fc0fea399acb12edbf8a628ba8d2312f583bdbdb3335635db062fa98cf71fca4",
+                "sha256:fe460b922ec15dd205595c9b5b99e2f056fd98ae8f9f56b888e7a17dc2b757e7"
+            ],
+            "version": "==1.4.1"
+        },
+        "typing-extensions": {
+            "hashes": [
+                "sha256:091ecc894d5e908ac75209f10d5b4f118fbdb2eb1ede6a63544054bb1edb41f2",
+                "sha256:910f4656f54de5993ad9304959ce9bb903f90aadc7c67a0bef07e678014e892d",
+                "sha256:cf8b63fedea4d89bab840ecbb93e75578af28f76f66c35889bd7065f5af88575"
+            ],
+            "version": "==3.7.4.1"
+        },
+        "typing-inspect": {
+            "hashes": [
+                "sha256:75c97b7854426a129f3184c68588db29091ff58e6908ed520add1d52fc44df6e",
+                "sha256:811b44f92e780b90cfe7bac94249a4fae87cfaa9b40312765489255045231d9c",
+                "sha256:c6ed1cd34860857c53c146a6704a96da12e1661087828ce350f34addc6e5eee3"
+            ],
+            "version": "==0.5.0"
+        },
+        "urllib3": {
+            "hashes": [
+                "sha256:2f3db8b19923a873b3e5256dc9c2dedfa883e33d87c690d9c7913e1f40673cdc",
+                "sha256:87716c2d2a7121198ebcb7ce7cccf6ce5e9ba539041cfbaeecfb641dc0bf6acc"
+            ],
+            "version": "==1.25.8"
+        },
+        "wcwidth": {
+            "hashes": [
+                "sha256:cafe2186b3c009a04067022ce1dcd79cb38d8d65ee4f4791b8888d6599d1bbe1",
+                "sha256:ee73862862a156bf77ff92b09034fc4825dd3af9cf81bc5b360668d425f3c5f1"
+            ],
+            "version": "==0.1.9"
+        },
+        "zipp": {
+            "hashes": [
+                "sha256:aa36550ff0c0b7ef7fa639055d797116ee891440eac1a56f378e2d3179e0320b",
+                "sha256:c599e4d75c98f6798c509911d08a22e6c021d074469042177c8c86fb92eefd96"
+            ],
+            "version": "==3.1.0"
+        }
+    }
+}
diff --git a/QA.py b/QA.py
new file mode 100644
index 0000000..f1247b2
--- /dev/null
+++ b/QA.py
@@ -0,0 +1,247 @@
+from typing import Callable, Dict, Any, List, Tuple
+import functools
+import re
+from Entity.Courses import Courses
+from Entity.Locations import Locations
+from Entity.Profs import Profs
+from Entity.Clubs import Clubs
+from Entity.Sections import Sections
+from database_wrapper import NimbusMySQLAlchemy
+import itertools
+
+Extracted_Vars = Dict[str, Any]
+DB_Data = Dict[str, Any]
+DB_Query = Callable[[Extracted_Vars], DB_Data]
+Answer_Formatter = Callable[[Extracted_Vars, DB_Data], str]
+
+
+tag_lookup = {
+    "PROF": Profs,
+    "CLUB": Clubs,
+    "COURSE": Courses,
+    "SECRET_HIDEOUT": Locations,
+    "SECTION": Sections,
+}
+
+
+class QA:
+    """
+    A class for wrapping functions used to answer a question.
+    """
+
+    def __init__(self, q_format, db_query, format_answer, db):
+        """
+        Args:
+            q_format (str): Question format string
+            db (NimbusDatabase): Object used to access remote database
+            db_query (DB_Query): Function used to get data from database. Takes
+                a dict of extracted variables and returns a dict of variables
+                from the database.
+            format_answer (Answer_Formatter): Function used to format answer
+                string. Takes two dicts--one of extracted variables and one of
+                data retrieved from the database--and returns a str.
+        """
+        self.db = db
+        self.q_format = q_format
+        self.db_query = db_query
+        self.format_answer = format_answer
+
+    def answer(self, extracted_vars):
+        db_data = self.db_query(extracted_vars, self.db)
+        answer = self.format_answer(extracted_vars, db_data)
+        return answer
+
+    def __repr__(self):
+        return self.q_format
+
+    def __hash__(self):
+        return hash(self.q_format)
+
+
+def create_qa_mapping(qa_list):
+    """
+    Creates a dictionary whose values are QA objects and keys are the question
+    formats of those QA objects.
+
+    Args:
+        qa_list (list(QA))
+    """
+    return {qa.q_format: qa for qa in qa_list}
+
+
+def _string_sub(a_format, extracted_info, db_data):
+    if None in db_data.values():
+        return None
+    else:
+        return a_format.format(ex=extracted_info["normalized entity"], **db_data)
+
+
+def string_sub(a_format):
+    return functools.partial(_string_sub, a_format)
+
+
+def _get_property(prop: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlchemy):
+    ent_string = extracted_info["normalized entity"]
+    ent = tag_lookup[extracted_info["tag"]]
+    try:
+        value = db.get_property_from_entity(
+            prop=prop, entity=ent, identifier=ent_string
+        )
+    except IndexError:
+        return {f"db_{prop}": None}
+    else:
+        return {f"db_{prop}": value}
+
+
+def get_property(prop: str):
+    return functools.partial(_get_property, prop)
+
+
+def _generic_answer_formatter(
+    a_format: str, pred: Any, extracted_info: Extracted_Vars, db_data: DB_Data
+):
+
+    if type(pred) == str:
+        t_f = re.search(pred, db_data)
+    elif callable(pred):
+        t_f = pred(db_data)
+    else:
+        t_f = bool(db_data)
+
+    y_n = "Yes" if t_f else "No"
+    _not = "" if t_f else "not"
+    not_not = "not" if t_f else ""
+
+    return a_format.format(
+        y_n=y_n,
+        yes_no=y_n,
+        _not=_not,
+        not_not=not_not,
+        t_f=t_f,
+        db=db_data,
+        ex=extracted_info,
+    )
+
+
+def generic_answer_formatter(a_format: str, pred: Any = None):
+    return functools.partial(_generic_answer_formatter, a_format, pred)
+
+
+def _grammatical_join(substrings: list, last_two_join: str = "and"):
+    if len(substrings) == 0:
+        return ""
+    elif len(substrings) == 1:
+        return substrings[0]
+    elif len(substrings) == 2:
+        return f"{substrings[0]} {last_two_join} {substrings[1]}"
+    else:
+        substrings.append(f"{last_two_join} {substrings.pop()}")
+        return ", ".join(substrings)
+
+
+def format_prof_office_hours(extracted_vars: Extracted_Vars, db_data: DB_Data):
+    prof = extracted_vars["PROF"]["normalized entity"]
+    days = db_data["PROF"]["OfficeHours"]
+    return _format_prof_office_hours(prof, days)
+
+
+def _format_prof_office_hours(prof: str, days: str):
+    hours = lambda x: x[1]
+
+    week = []
+    for token in days.split(", "):
+        try:
+            d, h = token.split(" ", 1)
+        except ValueError:
+            continue
+        week.append((d, h))
+
+    if not week:
+        return f"{prof} currently has no office hours"
+
+    week.sort(key=hours)
+    groups = []
+    keys = []
+    for key, group in itertools.groupby(week, hours):
+        groups.append(list(group))
+        keys.append(key)
+
+    if keys[0] == "on leave":
+        return f"{prof} is currently on leave"
+
+    substrings = []
+    for g in groups:
+        ds = [d for d, _ in g]
+        k = hours(g[0]).replace("-", "to")
+        substrings.append(f"{_grammatical_join(ds)} {k}")
+
+    return f"{prof} has office hours {_grammatical_join(substrings)}"
+
+
+def _chain_db_access(
+    fns: List[DB_Query], extracted_vars: Extracted_Vars, db: NimbusMySQLAlchemy
+) -> DB_Data:
+    """
+    Combines behavior of a list of database access functions
+
+    Args:
+        fns: List of database access functions to run
+        extracted_vars: Dictionary of extracted information to run fns against
+
+    Returns:
+        A dictionary of database data
+    """
+    db_data = dict()
+    for fn in fns:
+        for key, val in fn(extracted_vars, db).items():
+            index = 1
+            while key in db_data:
+                key = f"{key}{index}"
+                index += 1
+            db_data[key] = val
+    return db_data
+
+
+# Actually returns partial[Dict[str, Any]]
+def chain_db_access(fns: List[DB_Query]) -> DB_Query:
+    return functools.partial(_chain_db_access, fns)
+
+
+def generate_qa_pairs(qa_pairs: Tuple[str, str], db: NimbusMySQLAlchemy):
+    text_in_brackets = r"\[[^\[\]]*\]"
+    qa_objs = []
+    for pair in qa_pairs:
+        q = pair[0]
+        a = pair[1]
+        db_access_fns = []
+        # Find all bracketed tokens ([PROF], [COURSE..units], etc)
+        matches = re.findall(text_in_brackets, a)
+        ents = []
+        for match in matches:
+            # If match is a property
+            if ".." in match:
+                ent, prop = match[1:-1].split("..", 1)
+                db_access_fns.append(get_property(prop))
+                # "db" prefix is used to disambiguate database and entity data
+                # in _string_sub and _generic_answer_formatter. See above.
+                a = a.replace(match, "{db_" + prop + "}")
+            # If match is an entity
+            else:
+                ents.append(match)
+        if len(ents) == 1:
+            a = a.replace(ents[0], "{ex}")
+        else:
+            for ent in ents:
+                # "ex" prefix is added for the same reason as above.
+                # Not necessary for current _string_sub function, but useful
+                # for when we extract multiple variables
+                a = a.replace(ent, "{ex_" + ent[1:-1] + "}")
+        o = QA(
+            q_format=q,
+            db_query=chain_db_access(db_access_fns),
+            format_answer=string_sub(a),
+            db=db,
+        )
+        qa_objs.append(o)
+
+    return qa_objs
diff --git a/README.md b/README.md
index 6070a89..001b23f 100644
--- a/README.md
+++ b/README.md
@@ -1,18 +1,139 @@
 # api
 
-Python wrapper for MySQL database. 
-Also a REST API soon. 
+![GitHub repo size](https://img.shields.io/github/repo-size/calpoly-csai/api)
+![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/calpoly-csai/api)
+![GitHub closed issues](https://img.shields.io/github/issues-closed/calpoly-csai/api)
+![GitHub closed pull requests](https://img.shields.io/github/issues-pr-closed/calpoly-csai/api)
 
-[Michael Fekadu](https://www.github.com/mfekadu)
+Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CSAI_Voice_Assistant) accessible via HTTP REST protocol.
 
-[Tyler Campanile](https://www.github.com/tecampani)
+## 🚧 This API is still in-development, so expect the endpoints to be constantly changing until finalized.
 
-[Ben Dahlgren](https://www.github.com/Dahlgreb)
+## GitHub Actions Status
+![Deploy To Staging Server](https://github.com/calpoly-csai/api/workflows/Deploy%20Dev%20To%20Staging%20Server/badge.svg)
 
-[Kush Upadhyay](https://www.github.com/kpu-21)
+![Run Tests](https://github.com/calpoly-csai/api/workflows/Run%20Tests/badge.svg)
 
-[Steven Bradley](https://www.github.com/stbradle)
+![Python PEP8 Style Check](https://github.com/calpoly-csai/api/workflows/Python%20PEP8%20Style%20Check/badge.svg)
+
+![Python Pyre Type Annotation Check](https://github.com/calpoly-csai/api/workflows/Python%20Pyre%20Type%20Annotation%20Check/badge.svg)
+
+## Documentation
+
+- [ ] **TODO: INSERT LINK TO API DOCUMENTATION**
+
+- [ ] **TODO: USE http://readthedocs.org to host the docs live on the internet**
+
+- [ ] **TODO: [CREATE API DOCS 😅](https://github.com/calpoly-csai/api/milestone/2)**
+
+
+## Dev Environment Setup
+### Prerequisites
+1. Python 3.6.9
+
+2. pip 9.0.1
+
+
+### Database Configuration
+
+**Create a file** called `config.json` that should include at least the following details of a MySQL database:
+```json
+{
+    ...
+    "mysql": {
+        "host": "HOSTNAME",
+        "port": "PORT e.g. 3306",
+        "user": "USERNAME",
+        "password": "PASSWORD",
+        "database": "DATABASE",
+        ...
+    }
+    ...
+}
+```
+
+**You can also use [`config_SAMPLE.json`](https://github.com/calpoly-csai/api/blob/dev/config_SAMPLE.json) as a reference**
+
+_Contact anyone on the Data Team to get connection details for the Nimbus database_
+
+
+### Install
+
+```bash
+pip3 install -r requirements.txt
+```
+
+### Run the API server
+
+```bash
+python3 nimbus_api.py
+```
+
+**_Run in the background_**
+```bash
+python3 nimbus_api.py&
+```
+
+### Run the tests
+```bash
+pytest
+```
+
+### Python PEP8 Style Standards
+**_Run the `format` script to automatically make our code look nice_**
+```bash
+./format.sh
+```
+
+_Sometimes the format script is not enough, so run `lint` to manually style our code_
+```bash
+./lint.sh
+```
+
+## Deployment
+### What we use
+A Linux server (e.g. Ubuntu 18.04.3 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
+
+[See this documentation of the database deployment process](https://github.com/calpoly-csai/wiki/wiki/How-To-Install-and-Set-Up-a-Remote-MySQL-5.7-Database-and-Python-3.6-on-Ubuntu-18.04-with-Google-Cloud-Platform)
+
+
+## Contributing
+![GitHub issues](https://img.shields.io/github/issues/calpoly-csai/api)
+
+Have a [**look at the v1.0 project board for TODOs**](https://github.com/calpoly-csai/api/projects/1)!
+
+If you are new to programming, then filter for the [**![good first issue](https://img.shields.io/github/labels/calpoly-csai/api/good%20first%20issue)** label](https://github.com/calpoly-csai/api/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
+
+Pull requests are welcome.
+
+For major changes, please [**open an issue**](https://github.com/calpoly-csai/api/issues/new) first to discuss what you would like to change.
+
+Please make sure to update tests as appropriate.
+
+## License
+[GNU GPLv3](https://choosealicense.com/licenses/gpl-3.0/)
+
+
+## Authors and acknowledgment
+
+[Michael Fekadu](https://www.github.com/mfekadu)
+
+[John Waidhofer](https://www.github.com/Waidhoferj)
+
+[Miles Aikens](https://www.github.com/snekiam)
 
 [Daniel DeFoe](https://www.github.com/danield2255)
 
+[Taylor Nguyen](https://www.github.com/taylor-nguyen-987)
+
+[Adam Perlin](https://www.github.com/adamperlin)
+
 [Simon Ibssa](https://www.github.com/ibssasimon)
+
+[Kush Upadhyay](https://www.github.com/kpu-21)
+
+[Ben Dahlgren](https://www.github.com/Dahlgreb)
+
+[Tyler Campanile](https://www.github.com/tecampani)
+
+[Steven Bradley](https://www.github.com/stbradle)
diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/cert-update.sh b/cert-update.sh
new file mode 100755
index 0000000..4362546
--- /dev/null
+++ b/cert-update.sh
@@ -0,0 +1,9 @@
+#!/bin/bash
+
+certbot renew
+cd /api-certificates
+git pull
+tar cvf /api-certificates/letsencrypt_backup.tar /etc/letsencrypt
+git add .
+git commit -m "automated upload from google cloud"
+git push
\ No newline at end of file
diff --git a/config.json b/config.json
deleted file mode 100644
index f0bd1d7..0000000
--- a/config.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-    "mysql": {
-        "host": "HOSTNAME",
-        "user": "USERNAME",
-        "password": "PASSWORD",
-        "sql_dir": "sql",
-        "create_file": "csai_nov_8_2019_create_script.min.sql"
-    }
-}
diff --git a/config_SAMPLE.json b/config_SAMPLE.json
new file mode 100644
index 0000000..ce30da5
--- /dev/null
+++ b/config_SAMPLE.json
@@ -0,0 +1,17 @@
+{
+    "PYDRIVE_CLIENT_ID": "SECRET",
+    "PYDRIVE_CLIENT_SECRET": "SECRET",
+    "GOOGLE_DRIVE_CREDENTIALS": "SECRET",
+    "GOOGLE_DRIVE_FOLDER_ID": "SECRET",
+    "GOOGLE_CLOUD_NLP_CREDENTIALS": "SECRET",
+    "GOOGLE_CLOUD_NLP_MODEL_NAME": "SECRET",
+    "mysql": {
+        "host": "HOSTNAME",
+        "port": "PORT e.g. 3306",
+        "user": "USERNAME",
+        "password": "PASSWORD",
+        "database": "DATABASE",
+        "sql_dir": "sql",
+        "create_file": "csai_nov_8_2019_create_script.min.sql"
+    }
+}
\ No newline at end of file
diff --git a/coverage.sh b/coverage.sh
new file mode 100755
index 0000000..89a7484
--- /dev/null
+++ b/coverage.sh
@@ -0,0 +1,7 @@
+python -m coverage run -m pytest
+
+# omit because pipenv creates a "~/.local" directory
+coverage html --omit="*.local*"
+
+echo "\nopen htmlcov/index.html\n"
+
diff --git a/create_all_tables.py b/create_all_tables.py
new file mode 100755
index 0000000..aceaba9
--- /dev/null
+++ b/create_all_tables.py
@@ -0,0 +1,5 @@
+#!/usr/bin/env python3
+from database_wrapper import NimbusMySQLAlchemy
+
+db = NimbusMySQLAlchemy(config_file="config.json")
+db._create_all_tables()
diff --git a/database_wrapper.py b/database_wrapper.py
old mode 100644
new mode 100755
index 05075f0..18d2a41
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 """A wrapper module for the Nimbus data storage systems.
 
 This module includes various adapters for interfacing with
@@ -5,56 +6,166 @@
 
     Typical usage example:
 
-    connection = connect_to_mysql('config.json')
-    bar = foo.FunctionBar()
+    db = NimbusMySQL(config_file="config.json")
+    ents = db.get_entities()
 """
-#!/usr/bin/env python3
-import mysql.connector
 import json
+import csv
+from abc import ABC, abstractmethod
+from typing import List, Optional, Union
+
+
+import sqlalchemy
+from sqlalchemy import create_engine, inspect
+from sqlalchemy.engine import Engine
+from sqlalchemy.orm import sessionmaker
+
+from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
+from Entity.Calendars import Calendars
+from Entity.Courses import Courses
+from Entity.Locations import Locations
+from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
+from Entity.QueryFeedback import QueryFeedback
+from Entity.Professors import ProfessorsProperties
+from Entity.Clubs import Clubs
+from Entity.Sections import Sections, SectionType
+from Entity.Profs import Profs
+from Entity.ProfessorSectionView import ProfessorSectionView
+
+from fuzzywuzzy import fuzz
+
 
-MYSQL_TYPE = mysql.connector.connection_cext.CMySQLConnection
+GREEN_COLOR_CODE = "\033[92m"
+YELLOW_COLOR_CODE = "\033[93m"
+PURPLE_COLOR_CODE = "\033[95m"
+CYAN_COLOR_CODE = "\033[96m"
+RESET_COLOR_CODE = "\033[00m"
 
+UNION_ENTITIES = Union[
+    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair, ProfessorSectionView
+]
+UNION_PROPERTIES = Union[ProfessorsProperties]
 
-class MySQLAdapter:
-    """An adapter for mysql-connector-python to fit our program.
+default_tag_column_dict = {
+    Calendars: {"date"},
+    Courses: {"courseName", "courseNum", "dept"},
+    Locations: {"building_number", "name"},
+    Profs: {"firstName", "lastName"},
+    Clubs: {"club_name"},
+    Sections: {"section_name"},
+    ProfessorSectionView: {"firstName", "lastName"},
+}
 
-    The MySQLAdapter makes the mysql-connector-python interface
-    compatible with the our program's interface.
+EXPECTED_KEYS_BY_ENTITY = {
+    AudioSampleMetaData: [
+        "is_wake_word",
+        "first_name",
+        "last_name",
+        "gender",
+        "noise_level",
+        "location",
+        "tone",
+        "timestamp",
+        "username",
+        "filename",
+    ],
+    Clubs: [
+        "club_name",
+        "types",
+        "desc",
+        "contact_email",
+        "contact_email_2",
+        "contact_person",
+        "contact_phone",
+        "box",
+        "advisor",
+        "affiliation",
+    ],
+    Calendars: [
+        'date',
+        'day',
+        'month',
+        'year',
+        'raw_events_text',
+    ],
+    Courses: [
+        'dept',
+        'courseNum',
+        'courseName',
+        'units',
+        'raw_prerequisites_text',
+        'raw_concurrent_text',
+        'raw_recommended_text',
+        'termsOffered',
+    ],
+    Locations: ["building_number", "name", "longitude", "latitude"],
+    Sections: [
+        "section_name",
+        "instructor",
+        "alias",
+        "title",
+        "phone",
+        "office",
+        "type",
+        "days",
+        "start",
+        "end",
+        "location",
+        "department",
+    ],
+    QuestionAnswerPair: [
+        "can_we_answer",
+        "verified",
+        "answer_type",
+        "question_format",
+        "answer_format",
+    ],
+    QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
+}
+
+
+class BadDictionaryKeyError(Exception):
+    """Raised when the given JSON/dict is missing some required fields.
 
     Attributes:
-        connection: The mysql-connector-python connection object.
-        database: the database to execute queries on.
+        message: an explanation of what fields are missing.
     """
 
-    def __init__(self,
-                 mysql_connection_object: MYSQL_TYPE,
-                 database: str) -> None:
-        """Inits MySQLAdapter with mysql_connection_object.
+    def __init__(self, message: str):
+        self.message = message
 
-        Args:
-            mysql_connection_object: object representing a mysql connection.
-            database: the database to execute queries on.
 
-        Returns:
-            None
-        """
-        self.connection = mysql_connection_object
-        self.database = database
+class BadDictionaryValueError(Exception):
+    """Raised when the given JSON/dict has unexpected data
 
-    def get_entities(self) -> str:
-        """Yields a list of all entities in the database."""
-        cursor = self.connection.cursor()
-        cursor.execute('use {}'.format(self.database))
-        cursor.execute('show tables')
-        # `fetchall` returns a list of single element tuples
-        tups = cursor.fetchall()
-        cursor.close()
-        for x in tups:
-            yield x[0]
-
-    def get_relationships(self) -> str:
-        """Returns a list of all relationships between entities in database."""
-        pass
+    Attributes:
+        message: an explanation.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+class InvalidOperationOnView(Exception):
+    """Raised when trying to perform insert/update operations on a View.
+
+    Attributes:
+        message: an explanation.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+class NimbusDatabaseError(Exception):
+    """Raised when we have a database querying problem.
+
+    Attributes:
+        message: an explanation of the data querying problem.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
 
 
 class UnsupportedDatabaseError(Exception):
@@ -68,43 +179,702 @@ def __init__(self, message: str):
         self.message = message
 
 
-def connect(database_type: str = 'mysql', config_file: str = 'config.json'):
-    """Returns the connection object after connecting to a database
+class BadConfigFileError(Exception):
+    """Raised when the config.json file is badly formatter (e.g missing field).
+
+    Attributes:
+        message: an explanation.
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
+"""
+utilities.py
+"""
+
+
+def get_current_time():
+    """
+    Useful for answering questions like "Is prof availible now/tomorrow?"
+    """
+    pass
 
-    Args:
-        database_type: An optional variable for choosing the database. (default=420)
-        config_file: the filename string of the config file. (default=
 
-    Returns:
-        a connection object
+class NimbusDatabase(ABC):
     """
-    if database_type:
-        return connect_to_mysql(config_file)
-    else:
-        return None  # ???
+    An abstract class for interacting with the Nimbus database.
+    Concrete subclasses, such as NimbusMySQL,
+    should implement these operations such as `connect`
+    """
+
+    def __init__(self, config_file: str = "config.json") -> None:
+        """
+        Inits Nimbus Database using the hostname, username, password
+        found inside the config_file.
+        """
+        pass
+
+    @abstractmethod
+    def get_property_from_entity(
+        self,
+        prop: List[str],
+        entity: str,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
+    ) -> List[str]:
+        """A high-order function to get properties from objects in the database.
+
+        Example:
+        >>> db = NimbusDatabase("config.json")
+        >>> db.get_property_from_entity(["firstName", "lastName"],
+                                        "Professors")
+        [("Foaad", "Khosmood"), ("John", "Clements"), ...]
+
+        >>> db.get_property_from_entity(["firstName", "lastName"],
+                                        "Professors", "firstName", "Foaad")
+        [("Foaad", "Khosmood")]
+
+        Args:
+            entity: a string representing a table in the database.
+            prop: string(s) representing a field in the given table.
+            condition_field: (optional) string representing the column name.
+            condition_value: (optional) string representing the cell value.
+
+        Returns:
+            The list of prop of the entity (e.g. firstName of Professor)
+        """
+        pass
+
+    @abstractmethod
+    def get_property_from_related_entities(
+        self,
+        prop: List[str],
+        entity1: str,
+        entity2: str,
+        key1: str,
+        key2: Optional[str] = None,
+        condition_field: Optional[str] = None,
+        condition_value: Optional[str] = None,
+    ) -> List[str]:
+        """A higher-order function to ????
 
+        Example:
+        >>> db = NimbusDatabase("config.json")
+        >>> db.get_property_from_related_entities(
+                        ["firstName", "lastName", "ohRoom"],
+                        "Professors", "OfficeHours", "professorId")
+        [("Foaad", "Khosmood", "14-213"), ("John", "Clements", "14-210"), ...]
 
-def connect_to_mysql(config_file):
-    """Connect to a MySQL database given a configuration file in JSON format.
+        >>> db.get_property_from_related_entities(
+                        ["firstName", "lastName"],
+                        "Professors", "OfficeHours",
+                        "professorId", "firstName", "Foaad")
+        [("Foaad", "Khosmood", "14-213")]
+
+        Args:
+            entity: TODO
+            prop: TODO
 
-    Args:
-        config_file: the config.JSON filename with a "mysql" key.
+        Returns:
+            TODO
+        """
+        pass
 
-    Returns:
-        the mysql-connector-python connection object
+    @abstractmethod
+    def get_entities(self) -> str:
+        pass
+
+    @abstractmethod
+    def get_fields_of_entity(self, entity1: str) -> str:
+        """
+        TODO:
+        given an entity,
+        return all the field names of that table in the database.
+        """
+        pass
 
-    Raises:
-        UnsupportedDatabaseError: If an unknown database type found.
+    @abstractmethod
+    def get_unique(self, entity) -> str:
+        pass
+
+    @abstractmethod
+    def get_bitcount(self, entity) -> str:
+        pass
+
+    @abstractmethod
+    def close(self) -> None:
+        """
+        Simple Implementation Example:
+        ```
+        self.connection.close()
+        super().close()
+        ```
+        """
+        print("database connection was closed.")
+        pass
+
+    def __del__(self) -> None:
+        """
+        This method can make sure that the database connection is closed
+        before garbage references are collected.
+
+        There are reasons to not use `__del__`:
+        https://stackoverflow.com/q/1481488
+
+        Example:
+            >>> import database_wrapper
+            >>> db = database_wrapper.NimbusMySQL()
+            >>> del db
+            database object is being garbage collected...
+            database connection was closed.
+        """
+        print("database object is being garbage collected...")
+        self.close()
+        return
+
+
+def raises_database_error(func):
+    """A Python decorator for mapping to NimbusDatabaseError
+
+    Resources:
+        https://realpython.com/primer-on-python-decorators/#simple-decorators
+        https://docs.python.org/3/library/exceptions.html
+    """
+
+    def wrapper(*args, **kwargs):
+        try:
+            func(*args, **kwargs)
+        except sqlalchemy.exc.DataError as e:
+            # TODO: consider security tradeoff of displaying
+            #       internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins, so try to raise a smaller message
+            raise NimbusDatabaseError(str(e.args)) from e
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying
+            #       internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins, so try to catch the EXACT exception
+            raise e
+
+    return wrapper
+
+
+class NimbusMySQLAlchemy:  # NimbusMySQLAlchemy(NimbusDatabase):
+    """
     """
-    with open(config_file) as json_data_file:
-        config = json.load(json_data_file)
-
-    if config.get('mysql', False):
-        mysql_config = config['mysql']
-        return mysql.connector.connect(
-            host=mysql_config['host'],
-            user=mysql_config['user'],
-            passwd=mysql_config['password']
+
+    def __init__(self, config_file: str = "config.json") -> None:
+        self.engine = self._create_engine(config_file)
+        self.Clubs = Clubs
+        self.Sections = Sections
+        self.Calendars = Calendars
+        self.Courses = Courses
+        self.Profs = Profs
+        self.AudioSampleMetaData = AudioSampleMetaData
+        self.Locations = Locations
+        self.ProfessorSectonView = ProfessorSectionView
+        self.QuestionAnswerPair = QuestionAnswerPair
+        self.inspector = inspect(self.engine)
+        self._create_database_session()
+        print("initialized NimbusMySQLAlchemy")
+
+    def _create_engine(self, config_file: str) -> Engine:
+        with open(config_file) as json_data_file:
+            config = json.load(json_data_file)
+
+        if config.get("mysql", False):
+            mysql_config = config["mysql"]
+            RDBMS = "mysql"
+            PIP_PACKAGE = "mysqlconnector"
+            SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
+                RDBMS,
+                PIP_PACKAGE,
+                mysql_config["user"],
+                mysql_config["password"],
+                mysql_config["host"],
+                mysql_config["port"],
+                mysql_config["database"],
+            )
+            engine = create_engine(SQLALCHEMY_DATABASE_URI)
+
+            if engine is not None:
+                return engine
+            else:
+                raise BadConfigFileError("failed to connect to MySQL")
+
+        else:
+            msg = "config.json is missing {} field.".format("mysql")
+            raise BadConfigFileError(msg)
+
+    @staticmethod
+    def validate_input_keys(input_data: dict, expected_keys: set):
+        if len(input_data) == 0:
+            msg = "expected: {} but got: {}"
+            msg = msg.format(expected_keys, set(input_data.keys()))
+            raise BadDictionaryKeyError(msg)
+
+        # assert that the input_data does not have extra keys
+        for k in input_data:
+            if k not in expected_keys:
+                msg = "expected: {} but got: {}"
+                msg = msg.format(expected_keys, set(input_data.keys()))
+                raise BadDictionaryKeyError(msg)
+
+        # assert that the keys_i_care_about are in input_data
+        for k in expected_keys:
+            if k not in input_data:
+                msg = "expected: {} but got: {}"
+                msg = msg.format(expected_keys, set(input_data.keys()))
+                raise BadDictionaryKeyError(msg)
+
+    def _create_all_tables(self):
+        def __safe_create(SQLAlchemy_object):
+            table_name = SQLAlchemy_object.__tablename__
+            print(f"creating {table_name}...")
+            if table_name in self.inspector.get_table_names():
+                print(f"<{table_name}> already exists")
+                return
+            SQLAlchemy_object.__table__.create(bind=self.engine)
+            print(f"<{table_name}> created")
+            return
+
+        __safe_create(self.Clubs)
+        __safe_create(self.Sections)
+        __safe_create(self.Calendars)
+        __safe_create(self.Courses)
+        __safe_create(self.Profs)
+        __safe_create(self.AudioSampleMetaData)
+        __safe_create(self.Locations)
+        __safe_create(self.QuestionAnswerPair)
+        __safe_create(self.ProfessorSectonView)
+
+    def _create_database_session(self):
+        Session = sessionmaker(bind=self.engine)
+        self.session = Session()
+        print("initialized database session")
+
+    def get_all_qa_pairs(self):
+        qa_entity = QuestionAnswerPair
+
+        query_session = self.session.query(
+            qa_entity.question_format, qa_entity.answer_format
+        )
+        result = query_session.all()
+
+        return result
+
+    def get_all_answerable_pairs(self):
+        qa_entity = QuestionAnswerPair
+
+        query_session = self.session.query(
+            qa_entity.question_format, qa_entity.answer_format, qa_entity.can_we_answer
+        )
+        result = query_session.all()
+        true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
+
+        return true_result
+
+
+    def return_qa_pair_csv(self):
+        data = self.get_all_qa_pairs()
+
+        with open("qa_pair.csv", "w") as out:
+            csv_out = csv.writer(out)
+            csv_out.writerow(["question_format", "answer_format"])
+            for row in data:
+                csv_out.writerow(row)
+
+    def partial_fuzzy_match(self, tag_value, identifier):
+        return fuzz.partial_ratio(tag_value, identifier)
+
+    def full_fuzzy_match(self, tag_value, identifier):
+        return fuzz.ratio(tag_value, identifier)
+
+    def get_property_from_entity(
+        self,
+        prop: str,
+        entity: UNION_ENTITIES,
+        identifier: str,
+        tag_column_map: dict = default_tag_column_dict,
+    ):
+        """
+        This function implements the abstractmethod to get a column of values
+        from a NimbusDatabase entity.
+
+        Example:
+        >>> db = NimbusMySQLAlchemy()
+        >>> db.get_property_from_entity(
+            prop="email",
+            entity=Entity.Professors.Professors,
+            entity_string="Khosmood",
+        )
+        >>> ["foaad@calpoly.edu"]
+
+        Args:
+            prop: the relevant property value to retrieve from matching entities
+            entity: the type of entity we want to get the property from
+            identifier: a string that identifies the entity in some way (i.e., a professor's name)
+            tag_column_map: a dictionary mapping entity types to columns that identify the entities
+                ex:
+                {Professors: {"firstName", "lastName"}}
+
+        Returns:
+            A list of values for `prop`,
+            such that the `entity` matches `identifier`.
+        """
+
+        MATCH_THRESHOLD = 80
+
+        # TODO: be smart by check only Professor.firstName Professor.lastName
+        # TODO: only check Course.dept, Course.course_num, Course.course_name
+        tag_props = []
+        for k in entity.__dict__:
+            if k in tag_column_map[entity]:
+                tag_props.append(k)
+
+        results = []
+        query_obj = self.session.query(entity)
+        for row in query_obj.all():
+            total_similarity = 0
+            tags = []
+            for tag_prop in tag_props:
+                total_similarity += self.full_fuzzy_match(
+                    str(row.__dict__[tag_prop]), identifier
+                )
+                tags.append(str(row.__dict__[tag_prop]))
+
+            if total_similarity > MATCH_THRESHOLD:
+                results.append((total_similarity, tags, str(row.__dict__[prop])))
+
+        if len(results) < 1:
+            return None
+
+        sorted_results = sorted(results, key=lambda pair: pair[0])
+        return sorted_results[-1][2]
+
+    def get_course_properties(
+        self, department: str, course_num: Union[str, int]
+    ) -> List[Courses]:
+        return (
+            # sqlalchemy doesn't use type annotations
+            # and thus does not necessarily promise a List[Courses]
+            # even so we can expect .all() to return a list
+            # so long as there is no error in the MySQL syntax
+            self.session.query(Courses)
+            .filter(Courses.dept == department, Courses.courseNum == course_num)
+            .all()
+        )
+
+    def validate_and_format_entity_data(self, entity_type, data_dict: dict):
+        """
+        Validates that the data_dict's fields matches the entity_type's fields, and formats the data_dict
+        if necessary.
+
+        data_dict should be a dictionary of field names and values, looking like:
+        {
+            "fieldOne": valueOne,
+            "..."  : ...
+        }
+
+        Raises:
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            The formatted data_dict if there was formatted run, otherwise an unmodified data_dict
+        """
+
+        format_method_by_entity = {
+            AudioSampleMetaData: self.format_audio_sample_meta_data_dict,
+            QuestionAnswerPair: self.format_query_phrase_dict,
+            QueryFeedback: self.format_query_feedback_dict,
+        }
+
+        # Format data (if needed), and validate data
+        if entity_type in format_method_by_entity:
+            data_dict = format_method_by_entity[entity_type](data_dict)
+
+        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
+        return data_dict
+
+    def insert_entity(self, entity_type, data_dict: dict) -> bool:
+        """
+        Inserts an entity into the database. The keys of data_dict should follow camelCase
+        so they can be translated into snake_case.
+
+        data_dict should be a dictionary of field names and values, looking like:
+        {
+            "fieldOne": valueOne,
+            "..."  : ...
+        }
+
+        Raises:
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            True if all is good, else False
+        """
+        # Initialize the entity and check if it's a View
+        entity = entity_type()
+        if entity.is_view:
+            msg = "insert_entity for View: {} is not supported"
+            raise InvalidOperationOnView(msg.format(entity_type))
+
+        # Get formatted data, entity attributes, and entity object
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+        entity_attributes = entity_type.__dict__
+
+        # Logging...
+        print(
+            "{}Inserting into {}...{}".format(
+                CYAN_COLOR_CODE, entity_attributes["__tablename__"], RESET_COLOR_CODE
+            )
         )
-    else:
-        raise UnsupportedDatabaseError("sorry, idk this database type.")
+
+        # Grab the entity class fields by cleaning the attributes dictionary
+        # Note: Make sure you don't label any important data fields with underscores in the front or back!
+        entity_fields = list(
+            dict(
+                filter(
+                    lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
+                    entity_attributes.items(),
+                )
+            ).keys()
+        )[1:-1]
+
+        # Ignore the first field, since it's assumed to be a primary key
+        # Ignore the last field, since it's the is_view boolean
+        # Populate the entity with values from formatted_data
+        for entity_field in entity_fields:
+            setattr(entity, entity_field, formatted_data[entity_field])
+
+        # Perform the INSERT
+        print("Saving to database: {}...".format(entity))
+        self.session.add(entity)
+        self.session.commit()
+        print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
+
+        return True
+
+    def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bool:
+        """
+        Updates an entity in the database. The keys of data_dict should follow camelCase
+        so they can be translated into snake_case.
+
+        data_dict should be a dictionary of field names and values, looking like:
+        {
+            "fieldOne": valueOne,
+            "..."  : ...
+        }
+
+        filter_fields is a list of variable names (strings) to match for when running an
+        update query. If not provided, raises an error since it's not an update.
+
+        ex: passing in filter_fields=["name", "title"] will check for an existing entity that has the
+        same 'name' and 'title' values in the data_dict.
+
+        Raises:
+            RuntimeError - ...
+            BadDictionaryKeyError - ...
+            BadDictionaryValueError - ...
+
+        Returns:
+            True if all is good, else False
+        """
+        # Initialize dummy entity to check if it's a View
+        dummy_entity = entity_type()
+        if dummy_entity.is_view:
+            msg = "update_entity for View: {} is not supported"
+            raise InvalidOperationOnView(msg.format(entity_type))
+
+        # If we're not filtering for anything, we shouldn't be calling update_entity
+        if len(filter_fields) == 0:
+            msg = "update_entity for {} requires filter_fields list to filter by."
+            raise RuntimeError(msg.format(entity_type))
+
+        # Get formatted data and entity attributes
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+        entity_attributes = entity_type.__dict__
+
+        # Run a SELECT query to see if an entity that matches the values under the fields in the filter_fields list exists
+        query = self.session.query(entity_type)
+        for field in filter_fields:
+            query = query.filter(getattr(entity_type, field) == formatted_data[field])
+        entity = query.first()
+
+        # Logging...
+        if entity:
+            print(
+                "{}Updating {} in {}...{}".format(
+                    YELLOW_COLOR_CODE,
+                    entity,
+                    entity_attributes["__tablename__"],
+                    RESET_COLOR_CODE,
+                )
+            )
+        else:
+            entity = entity_type()
+            print(
+                "{}Matching Entity not found - Inserting {} in {}...{}".format(
+                    YELLOW_COLOR_CODE,
+                    entity,
+                    entity_attributes["__tablename__"],
+                    RESET_COLOR_CODE,
+                )
+            )
+
+        # Grab the entity class fields by cleaning the attributes dictionary
+        # Note: Make sure you don't label any important data fields with underscores in the front or back!
+        entity_fields = list(
+            dict(
+                filter(
+                    lambda i: not (i[0][0] == "_" or i[0][-1] == "_"),
+                    entity_attributes.items(),
+                )
+            ).keys()
+        )[1:-1]
+
+        # Ignore the first field, since it's assumed to be a primary key
+        # Ignore the last field, since it's the is_view boolean
+        # Populate the entity with values from formatted_data
+        for entity_field in entity_fields:
+            setattr(entity, entity_field, formatted_data[entity_field])
+
+        # Perform the actual UPDATE/INSERT
+        print("Saving to database: {}...".format(entity))
+        self.session.add(entity)
+        self.session.commit()
+        print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
+
+        return True
+
+    def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
+        """
+        data_dict at this point looks like:
+        {
+            "isWakeWord": True,
+            "firstName": "jj",
+            "lastName": "doe",
+            "gender": "f",
+            "noiseLevel": "q",
+            "location": "here",
+            "tone": "serious-but-not-really",
+            "timestamp": 1577077883,
+            "username": "guest",
+            "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"  # noqa because too hard.
+        }
+
+        Raises:
+            BadDictionaryValueError - ...
+
+        Returns:
+            A new, formatted data dictionary
+        """
+
+        is_wake_word_by_label = {"ww": True, "nww": False, True: True, False: False}
+
+        noise_level_by_label = {
+            "q": NoiseLevel.quiet,
+            "quiet": NoiseLevel.quiet,
+            "m": NoiseLevel.medium,
+            "medium": NoiseLevel.medium,
+            "l": NoiseLevel.loud,
+            "loud": NoiseLevel.loud,
+        }
+
+        data_dict["first_name"] = data_dict.pop("firstName")
+        data_dict["last_name"] = data_dict.pop("lastName")
+
+        if data_dict["isWakeWord"] in is_wake_word_by_label:
+            data_dict["is_wake_word"] = is_wake_word_by_label[
+                data_dict.pop("isWakeWord")
+            ]
+        else:
+            msg = "unexpected values for isWakeWord\n"
+            msg += "expected 'ww' or True or 'nww' or False but got '{}'"
+            msg = msg.format(data_dict["isWakeWord"])
+            raise BadDictionaryValueError(msg)
+
+        if data_dict["noiseLevel"] in noise_level_by_label:
+            data_dict["noise_level"] = noise_level_by_label[data_dict.pop("noiseLevel")]
+        else:
+            msg = "unexpected values for noiseLevel\n"
+            msg += "expected 'q' or 'm' or 'l' but got '{}'"
+            msg = msg.format(data_dict["noiseLevel"])
+            raise BadDictionaryValueError(msg)
+
+        return data_dict
+
+    def format_query_phrase_dict(self, phrases: dict) -> dict:
+        """
+        Formats query phrase to be saved to the server.
+        
+        Parameters
+        ----------
+        `phrases : dict` A question answer pair:
+        - {question: {format: str, variables: str}, answer: {format: str, variables: str}}
+
+        Raises
+        ------
+        BadDictionaryValueError
+
+        Returns
+        -------
+        dict
+            formatted for the server
+        """
+        return {
+            "can_we_answer": False,
+            "verified": False,
+            "answer_type": AnswerType.other,  # Will change after verified
+            "question_format": phrases["question"]["format"],
+            "answer_format": phrases["answer"]["format"],
+        }
+
+    def __del__(self):
+        print("NimbusMySQLAlchemy closed")
+
+    def format_query_feedback_dict(self, feedback: dict) -> dict:
+        """
+            Formats query feedback to be saved to the server.
+            
+            Parameters
+            ----------
+            `feedback : dict` A query feedback:
+            - {question: String, answer: String, type: String, timestamp: Datetime}
+
+            Raises
+            ------
+            BadDictionaryValueError
+
+            Returns
+            -------
+            dict
+                formatted for the server
+            """
+        answer_string_to_type = {
+            "fact": AnswerType.fact,
+            "related": AnswerType.related,
+            "stats": AnswerType.statistics,
+            "other": AnswerType.other,
+        }
+
+        return {
+            "question": feedback["question"],
+            "answer": feedback["answer"],
+            "answer_type": answer_string_to_type[feedback["type"]],
+            "timestamp": feedback["timestamp"],
+        }
+
+
+if __name__=="__main__":
+    db = NimbusMySQLAlchemy()
+    print(
+        db._get_property_from_entity("section_name",
+                                     ProfessorSectionView,
+                                     "Braun")
+    )
diff --git a/db_wrapper.py b/db_wrapper.py
index dd816a8..60e6810 100755
--- a/db_wrapper.py
+++ b/db_wrapper.py
@@ -4,14 +4,12 @@
 from db_config_sample import CONFIG
 import time
 
+
 def connect():
-    cxn = m.connect(
-        host=CONFIG['host'],
-        user=CONFIG['user'],
-        passwd=CONFIG['password']
-    )
+    cxn = m.connect(host=CONFIG["host"], user=CONFIG["user"], passwd=CONFIG["password"])
     return cxn
 
+
 def get_databases(cxn):
     """
     Args:
@@ -20,7 +18,7 @@ def get_databases(cxn):
         a tuple of strings of database names
     """
     cursor = cxn.cursor()
-    cursor.execute('SHOW DATABASES')
+    cursor.execute("SHOW DATABASES")
     # cursor.fetchall() returns a list of singleton tuples
     tups = cursor.fetchall()
     cursor.close()
@@ -35,12 +33,12 @@ def get_tables(cxn, database_name):
     Returns:
         a tuple of strings of database names
     """
-    acceptable_list = ['dev']
+    acceptable_list = ["dev"]
     assert database_name in acceptable_list, "unexpected database_name"
 
     cursor = cxn.cursor()
-    cursor.execute('use ' + database_name)
-    cursor.execute('show tables')
+    cursor.execute("use " + database_name)
+    cursor.execute("show tables")
     # cursor.fetchall() returns a list of singleton tuples
     tups = cursor.fetchall()
     cursor.close()
@@ -55,7 +53,7 @@ def run_create_script(cxn, filename):
         True if succeeded
     """
     c = cxn.cursor()
-    with open(filename, 'r') as f:
+    with open(filename, "r") as f:
         c.execute(f.read())
     time.sleep(2)
     c.close()
@@ -87,8 +85,8 @@ def what_courses_can_i_take(cxn):
 
 def courses_offered(cxn, course):
     """ Answers the question of when can I take "X"course?
-        
-    Args: 
+
+    Args:
         cxn: MySQL database connection object
         course: the course user wants terms from. Expected format is string
         "department courseNum"
@@ -99,8 +97,8 @@ def courses_offered(cxn, course):
 
     c.execute("use dev")
 
-    query = "SELECT courseName, termsOffered from Courses where courseName like \"%"
-    query += course + "%\""
+    query = 'SELECT courseName, termsOffered from Courses where courseName like "%'
+    query += course + '%"'
 
     print(query)
     c.execute(query)
@@ -113,10 +111,10 @@ def courses_offered(cxn, course):
 
 def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     """ Answers the question of 'Does [Professor] teach [Course]'?
-        
-    Args: 
+
+    Args:
         cxn: MySQL database connection object
-        prof: the name of the professor. If first and last name expressed, otherwise, last name 
+        prof: the name of the professor. If first and last name expressed, otherwise, last name
         will be used alone
         course: the course user wants terms from. Expected format is string
         "department courseNum"
@@ -127,17 +125,16 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
 
     c.execute("use dev")
 
+    query = 'SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like "%'
+    query += profLastName + '%"'
 
-    query = "SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like \"%"
-    query += profLastName + "%\""
-
-    #this can be an article of discussion for matching professor names
+    # this can be an article of discussion for matching professor names
     if profFirstName != "":
-        query += " and p.firstName likel \"%"
-        query += profFirstName + "%\""
+        query += ' and p.firstName likel "%'
+        query += profFirstName + '%"'
 
-    query += " and courseName like \"%"
-    query += course + "%\""
+    query += ' and courseName like "%'
+    query += course + '%"'
 
     print(query)
     c.execute(query)
@@ -149,15 +146,13 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     return True
 
 
-
-
 if __name__ == "__main__":
     cxn = connect()
 
     print("getting databases...", get_databases(cxn))
-    print("getting tables...", get_tables(cxn, 'dev'))
+    print("getting tables...", get_tables(cxn, "dev"))
 
-    script = join(CONFIG['sql_dir'], CONFIG['create_file'])
+    script = join(CONFIG["sql_dir"], CONFIG["create_file"])
 
     # print("running create script...")
     # assert run_create_script(cxn, script) == True, "uh oh failed to create"
@@ -165,7 +160,7 @@ def does_professor_teach_course(cxn, profLastName, profFirstName, course):
     cxn.close()
     cxn = connect()
 
-    print("getting tables...", get_tables(cxn, 'dev'))
+    print("getting tables...", get_tables(cxn, "dev"))
 
     print(courses_offered(cxn, "CSC 357"))
 
diff --git a/demo.py b/demo.py
new file mode 100644
index 0000000..3304281
--- /dev/null
+++ b/demo.py
@@ -0,0 +1,17 @@
+#!/usr/bin/env python3
+from database_wrapper import NimbusMySQL
+
+if __name__ == "__main__":
+    db = NimbusMySQL(config_file="config.json")
+
+    ents = db.get_entities()
+
+    print("Entites:", ents)
+
+    uniq_depts = db.get_unique(entity="Courses", prop="dept")
+
+    print("Unique departments?:", uniq_depts)
+
+    bitcounts = db.get_bitcount(entity="Courses", prop="termsOffered")
+
+    print("How many terms is CSC 100 offered?:", bitcounts[0])
diff --git a/deploy.sh b/deploy.sh
new file mode 100755
index 0000000..55eda8d
--- /dev/null
+++ b/deploy.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+python3 setup_special_files_from_env.py
+./download_nlp_stuff.sh
+python3 download_nltk_stuff.py
+gunicorn flask_api:app --config=gunicorn_config.py
diff --git a/download_nlp_stuff.sh b/download_nlp_stuff.sh
new file mode 100755
index 0000000..a6bef1e
--- /dev/null
+++ b/download_nlp_stuff.sh
@@ -0,0 +1,2 @@
+python3 -m spacy download en_core_web_sm
+python3 download_nltk_stuff.py
diff --git a/download_nltk_stuff.py b/download_nltk_stuff.py
new file mode 100644
index 0000000..2768eb3
--- /dev/null
+++ b/download_nltk_stuff.py
@@ -0,0 +1,5 @@
+#!/usr/bin/env python3
+import nltk
+
+nltk.download("punkt")
+nltk.download("averaged_perceptron_tagger")
diff --git a/flask_api.py b/flask_api.py
old mode 100644
new mode 100755
index 75d2417..b558d04
--- a/flask_api.py
+++ b/flask_api.py
@@ -1,58 +1,126 @@
+#!/usr/bin/env python3
 """An API endpoint module.
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
-import time
+
 from flask import Flask, jsonify, request
 from flask_cors import CORS
-from modules.validators import WakeWordValidator
+from pydrive.auth import GoogleAuth
+from pydrive.drive import GoogleDrive
+
+import gunicorn_config
+from Entity.Calendars import Calendars
+from Entity.Clubs import Clubs
+from Entity.Courses import Courses
+from Entity.Locations import Locations
+from database_wrapper import (
+    BadDictionaryKeyError,
+    BadDictionaryValueError,
+    NimbusDatabaseError,
+    NimbusMySQLAlchemy,
+)
 from modules.formatters import WakeWordFormatter
+from modules.validators import (
+    WakeWordValidator,
+    WakeWordValidatorError,
+    PhrasesValidator,
+    PhrasesValidatorError,
+    FeedbackValidator,
+    FeedbackValidatorError,
+)
+
+from Entity.AudioSampleMetaData import AudioSampleMetaData
+from Entity.QuestionAnswerPair import QuestionAnswerPair
+from Entity.QueryFeedback import QueryFeedback
+
+from nimbus import Nimbus
 
 BAD_REQUEST = 400
 SUCCESS = 200
-DEBUG = True
+SERVER_ERROR = 500
+
+CONFIG_FILE_PATH = "config.json"
 
 app = Flask(__name__)
 CORS(app)
 
+# NOTE:
+#   1. Flask "@app.route" decorated functions below commonly use a db or nimbus object
+#   2. Because the decorated functions can't take parameters (because they're called by
+#      the flask web server) the database and nimbus objects must be global
+#   3. Instantiating objects at the global level (especially ones that are resource-intensive
+#      to create like db and nimbus objects) is obviously bad practice
+#
+# Due to these points, the very un-Pythonic solution chosen is to initialize these objects as
+# None at the top level, associate them with actual objects in the `initialize*()` functions,
+# and do None checks in the functions below.
+
+db = None
+nimbus = None
+
+
+def initializeDB():
+    global db
+    if db is None:
+        db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
 
-@app.route('/', methods=['GET', 'POST'])
+
+def initializeNimbus():
+    global nimbus
+    if nimbus is None:
+        initializeDB()
+        nimbus = Nimbus(db)
+
+
+@app.route("/", methods=["GET", "POST"])
 def hello():
-    if (request.method == 'POST'):
+    if request.method == "POST":
         request_body = request.get_json()
-        return jsonify({'you sent': request_body})
+        return jsonify({"you sent": request_body})
     else:
         response_code = 42
-        response_json = jsonify({'name': 'hello {}'.format(str(app))})
+        response_json = jsonify({"name": "hello {}".format(str(app))})
         return response_json, response_code
 
 
-@app.route('/examples/wakeword', methods=['POST'])
-def save_a_recording():
-    """Given the audio metadata & audio file, resamples it, saves to storage.
+def generate_session_token() -> str:
+    return "SOME_NEW_TOKEN"
 
-    Resamples for the AI model. Saves to Google Drive. The audio is a
-    binary BLOB with a (wrapper?). The request JSON should include a
-    field representing WakeWord or NotWakeWord. Audio file size expected
-    to be around 76 KB.
-
-    Example:
-    {
-        'isWakeWord': True,
-        'firstName': "john",
-        'lastName': "doe",
-        'gender': "m", // enum('m', 'f') // male, female
-        'noiseLevel': "m", // enum('q','m','l') // quiet, medium, loud
-        'location': "here",
-        'tone': "serious",
-        // TODO: consider an optional description
-        'timestamp': '1577077883' //integer seconds since epoch
-        'username' : 'ewenike'
 
-    }
+@app.route("/ask", methods=["POST"])
+def handle_question():
+    """
+    POST (not GET) request because the `question` is submitted
+    and an `answer` is "created." Also, some side-effects on the
+    server are:
+        * storage of the logs of this question-answer-session.
+    """
+    initializeNimbus()
 
-    Returns:
-        HTTP status code
+    if request.is_json is False:
+        return "request must be JSON", BAD_REQUEST
+
+    request_body = request.get_json()
+
+    question = request_body.get("question", None)
+
+    if "question" not in request_body:
+        return "request body should include the question", BAD_REQUEST
+
+    response = {"answer": nimbus.answer_question(question)}
+
+    if "session" in request_body:
+        response["session"] = request_body["session"]
+    else:
+        response["session"] = generate_session_token()
+
+    return jsonify(response), SUCCESS
+
+
+@app.route("/new_data/wakeword", methods=["POST"])
+def save_a_recording():
+    """Given the audio metadata & audio file, resamples it, saves to storage.
     """
     validator = WakeWordValidator()
     formatter = WakeWordFormatter()
@@ -61,39 +129,381 @@ def save_a_recording():
     if issues:
         try:
             data = validator.fix(data, issues)
-        except ValueError as err:
+        except FormatterValidatorError as err:
             return str(err), BAD_REQUEST
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
+
+    # Save the audiofile first because if error then we stop here
+    # We do not want to save any metadata to the NimbusDatabase
+    #   if the audio fails to save.
+    save_audiofile(filename, request.files["wav_file"])
+
+    # Let's also save the filename to the database for quick reference
+    formatted_data["filename"] = filename
+
+    initializeDB()
+
+    try:
+        db.save_audio_sample_meta_data(formatted_data)
+    except BadDictionaryKeyError as e:
+        return str(e), BAD_REQUEST
+    except BadDictionaryValueError as e:
+        return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), BAD_REQUEST
+    except Exception as e:
+        # TODO: consider security tradeoff of displaying internal server errors
+        #       versus development time (being able to see errors quickly)
+        # HINT: security always wins
+        raise e
+
     return filename
 
 
-def create_filename(form):
-    """Creates a string filename that adheres to the Nimbus foramtting standard."""
+@app.route("/new_data/office_hours", methods=["POST"])
+def save_office_hours():
+    """
+    Persists list of office hours
+    """
+    initializeDB()
+
+    data = request.get_json()
+    for professor in data:
+        try:
+            process_office_hours(data[professor], db)
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
+@app.route("/new_data/phrase", methods=["POST"])
+def save_query_phrase():
+    validator = PhrasesValidator()
+    data = request.get_json()
+    try:
+        issues = validator.validate(data)
+    except:
+        return (
+            "Please format the query data: {question: {text: string, variables: list}, answer: {text: string, variables: list}}",
+            BAD_REQUEST,
+        )
+    if issues:
+        try:
+            data = validator.fix(data, issues)
+        except PhrasesValidatorError as err:
+            print("error", err)
+            return str(err), BAD_REQUEST
+
+    initializeDB()
+
+    try:
+        phrase_saved = db.insert_entity(QuestionAnswerPair, data)
+    except (BadDictionaryKeyError, BadDictionaryValueError) as e:
+        return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), SERVER_ERROR
+    except Exception as e:
+        raise e
+
+    if phrase_saved:
+        return "Phrase has been saved", SUCCESS
+    else:
+        return "An error was encountered while saving to database", SERVER_ERROR
+
+
+@app.route("/new_data/feedback", methods=["POST"])
+def save_feedback():
+    validator = FeedbackValidator()
+    data = request.get_json()
+    try:
+        issues = validator.validate(data)
+    except:
+        return (
+            "Please format the query data: {question: String, answer: String, type: String, timestamp: int}",
+            BAD_REQUEST,
+        )
+    if issues:
+        try:
+            data = validator.fix(data, issues)
+        except FeedbackValidatorError as err:
+            print("error:", err)
+            return str(err), BAD_REQUEST
+
+    initializeDB()
+
+    try:
+        feedback_saved = db.insert_entity(QueryFeedback, data)
+    except (BadDictionaryKeyError, BadDictionaryValueError) as e:
+        return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), SERVER_ERROR
+    except Exception as e:
+        raise e
+
+    if feedback_saved:
+        return "Feedback has been saved", SUCCESS
+    else:
+        return "An error was encountered while saving to database", SERVER_ERROR
+
+
+@app.route("/new_data/courses", methods=["POST"])
+def save_courses():
+    """
+    Persists list of courses
+    """
+    data = request.get_json()
+    initializeDB()
+
+    for course in data["courses"]:
+        try:
+            db.update_entity(Courses, course, ['dept', 'courseNum'])
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
+@app.route("/new_data/clubs", methods=["POST"])
+def save_clubs():
+    """
+    Persists list of clubs
+    """
+    data = request.get_json()
+    initializeDB()
 
+    for club in data["clubs"]:
+        try:
+            db.update_entity(Clubs, club, ['club_name'])
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
+@app.route("/new_data/locations", methods=["POST"])
+def save_locations():
+    """
+    Persists list of locations
+    """
+    data = request.get_json()
+    initializeDB()
+
+    for location in data["locations"]:
+        try:
+            db.update_entity(Locations, location, ['longitude', 'latitude'])
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
+@app.route("/new_data/calendars", methods=["POST"])
+def save_calendars():
+    """
+    Persists list of calendars
+    """
+    data = request.get_json()
+    initializeDB()
+
+    for calendar in data["calendars"]:
+        try:
+            db.update_entity(Calendars, calendar, ['date', 'raw_events_text'])
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
+def create_filename(form):
+    """
+    Creates a string filename that adheres to the Nimbus foramtting standard.
+    """
     order = [
-        'isWakeWord',
-        'noiseLevel',
-        'tone',
-        'location',
-        'gender',
-        'lastName',
-        'firstName',
-        'timestamp',
-        'username'
+        "isWakeWord",
+        "noiseLevel",
+        "tone",
+        "location",
+        "gender",
+        "lastName",
+        "firstName",
+        "timestamp",
+        "username",
     ]
-    values = list(map(lambda key: str(form[key]), order))
-    return '_'.join(values) + '.wav'
+    values = list(
+        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    return "_".join(values) + ".wav"
+
+
+def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
+    """
+    Takes the path to a CSV, reads the data row-by-row,
+    and stores the data to the database
+
+    Ex: def process_office_hours(
+                        current_prof: dict,
+                        db: NimbusMySQLAlchemy
+                        )
+
+    """
+    # Set the entity type as the OfficeHours entity class
+    entity_type = db.OfficeHours
+
+    # Check if the current entity is already within the database
+    if (
+            db.get_property_from_entity(
+                prop="Name", entity=entity_type, identifier=current_prof["Name"]
+            )
+            != None
+    ):
+
+        update_office_hours = True
+
+    else:
+        update_office_hours = False
+
+    # String for adding each day of office hours
+    office_hours = ""
+
+    # Split name for first and last name
+    split_name = current_prof["Name"].split(",")
+
+    # Extract each property for the entity
+    last_name = split_name[0].replace('"', "")
+    first_name = split_name[1].replace('"', "")
+
+    # Check that each extracted property is not empty then add it to
+    # the office hours string
+    if current_prof["Monday"] != "":
+
+        # Check that the current property does not contain digits which
+        # implies that it is alternative information about availability
+        if any(char.isdigit() for char in current_prof["Monday"]) == False:
+            office_hours = current_prof["Monday"]
+
+        # Otherwise it is a time
+        else:
+            office_hours += "Monday " + current_prof["Monday"] + ", "
+
+    if current_prof["Tuesday"] != "":
+        office_hours += "Tuesday " + current_prof["Tuesday"] + ", "
+
+    if current_prof["Wednesday"] != "":
+        office_hours += "Wednesday " + current_prof["Wednesday"] + ", "
+
+    if current_prof["Thursday"] != "":
+        office_hours += "Thursday " + current_prof["Thursday"] + ", "
+
+    if current_prof["Friday"] != "" and current_prof["Friday"] != "\n":
+        office_hours += "Friday " + current_prof["Friday"] + ", "
+
+    # Generate the data structure for the database entry
+    sql_data = {
+        "Name": last_name + ", " + first_name,
+        "LastName": last_name,
+        "FirstName": first_name,
+        "Office": current_prof["Office"],
+        "Phone": current_prof["Phone"],
+        "Email": current_prof["Email"],
+        "Monday": current_prof["Monday"],
+        "Tuesday": current_prof["Tuesday"],
+        "Wednesday": current_prof["Wednesday"],
+        "Thursday": current_prof["Thursday"],
+        "Friday": current_prof["Friday"],
+        "OfficeHours": office_hours,
+    }
+
+    # Update the entity properties if the entity already exists
+    if update_office_hours == True:
+        db.update_entity(
+            entity_type=entity_type, data_dict=sql_data, filter_fields=[
+                "Email"]
+        )
+
+    # Otherwise, add the entity to the database
+    else:
+        db.insert_entity(entity_type=entity_type, data_dict=sql_data)
 
 
 def resample_audio():
-    """Resample the audio file to adhere to the Nimbus audio sampling standard."""
+    """
+    Resample the audio file to adhere to the Nimbus audio sampling standard.
+    """
     pass
 
 
-def save_audiofile():
-    """Actually save the file into Google Drive or whereever we may do it."""
-    pass
+def save_audiofile(filename, content):
+    """Actually save the file into Google Drive."""
+    # Initialize our google drive authentication object using saved credentials,
+    # or through the command line
+    gauth = GoogleAuth()
+    gauth.CommandLineAuth()
+    # This is our pydrive object
+    drive = GoogleDrive(gauth)
+    # parent is our automatically uploaded file folder.  The ID should be read in from
+    # folder_id.txt since we probably shouldn't have that ID floating around on GitHub"""
+    folder_id = get_folder_id()
+    file = drive.CreateFile(
+        {
+            "parents": [{"kind": "drive#fileLink", "id": folder_id}],
+            "title": filename,
+            "mimeType": "audio/wav",
+        }
+    )
+    # Set the content of the file to the POST request's wav_file parameter.
+    file.content = content
+    file.Upload()  # Upload file.
+
+
+def get_folder_id():
+    with open("folder_id.txt") as folder_id_file:
+        return folder_id_file.readline()
 
 
 def convert_to_mfcc():
@@ -101,10 +511,6 @@ def convert_to_mfcc():
     pass
 
 
-@app.route('/times10/<int:num>', methods=['GET'])
-def get_times10(num):
-    return jsonify({'result': num*10})
-
-
-if __name__ == '__main__':
-    app.run(host='0.0.0.0', debug=DEBUG)
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
+            port=gunicorn_config.PORT)
\ No newline at end of file
diff --git a/format.sh b/format.sh
new file mode 100755
index 0000000..502f12e
--- /dev/null
+++ b/format.sh
@@ -0,0 +1,3 @@
+#!/bin/bash
+
+black .
diff --git a/gunicorn_config.py b/gunicorn_config.py
new file mode 100644
index 0000000..b954f46
--- /dev/null
+++ b/gunicorn_config.py
@@ -0,0 +1,13 @@
+from os import environ
+import multiprocessing
+
+PORT = int(environ.get("PORT", 8080))
+DEBUG_MODE = int(environ.get("DEBUG_MODE", 1))
+
+# Gunicorn config
+bind = ":" + str(PORT)
+workers = multiprocessing.cpu_count() * 2 + 1
+timeout = 90
+keyfile = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/privkey.pem"
+certfile = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/cert.pem"
+ca_certs = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/chain.pem"
diff --git a/happy.wav b/happy.wav
new file mode 100644
index 0000000000000000000000000000000000000000..a5298fbcb2037ea7d8d1e59f3bcffd5ed29239cd
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diff --git a/heroku_deploy.sh b/heroku_deploy.sh
new file mode 100755
index 0000000..e833883
--- /dev/null
+++ b/heroku_deploy.sh
@@ -0,0 +1,5 @@
+heroku container:login
+
+heroku container:push -a calpoly-csai-nimbus web --arg DATABASE_HOSTNAME,DATABASE_PASSWORD,DATABASE_USERNAME,DATABASE_NAME,PYDRIVE_CLIENT_ID,PYDRIVE_CLIENT_SECRET,GOOGLE_DRIVE_CREDENTIALS,GOOGLE_DRIVE_FOLDER_ID,GOOGLE_CLOUD_NLP_CREDENTIALS,GOOGLE_CLOUD_NLP_MODEL_NAME
+
+heroku container:release -a calpoly-csai-nimbus web
diff --git a/letsencrypt-backup-tar.cron b/letsencrypt-backup-tar.cron
new file mode 100644
index 0000000..8fdf86a
--- /dev/null
+++ b/letsencrypt-backup-tar.cron
@@ -0,0 +1 @@
+0 15 * * * /nimbus/cert-update.sh
diff --git a/lint.sh b/lint.sh
new file mode 100755
index 0000000..80dfc7b
--- /dev/null
+++ b/lint.sh
@@ -0,0 +1,38 @@
+#!/bin/bash
+
+
+#flake8 . --count \ 
+#         --select=E9,F63,F7,F82 \ 
+#         --show-source \ 
+#         --statistics \
+#         --exclude .git,__pycache__,docs/source/conf.py,old,build,dist,venv \
+#         --max-complexity 10
+#
+#
+## stop the build if there are Python syntax errors or undefined names
+#flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+## exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+#flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+
+
+
+if [[ $1 == "--simple" ]]
+then
+        # default is 79, but members of the team agreed upon a slight increase
+        # The GitHub editor is 127 chars wide
+        # ignore E772: do not use bare 'except'
+        flake8 --count \
+               --ignore E722 \
+               --show-source --statistics \
+               --exclude .git,__pycache__,venv,build,dist,docs \
+               --max-complexity 10 \
+               --max-line-length=127
+else
+        # default is 79, but members of the team agreed upon a slight increase
+        # The GitHub editor is 127 chars wide
+        flake8 --count \
+               --show-source --statistics \
+               --exclude .git,__pycache__,venv,build,dist,docs \
+               --max-complexity 10 \
+               --max-line-length=127
+fi
diff --git a/modules/formatters.py b/modules/formatters.py
index e158c6a..e92c9f2 100644
--- a/modules/formatters.py
+++ b/modules/formatters.py
@@ -1,4 +1,3 @@
-
 class Formatter:
     """Formatter abstract class. Describes contract for all child formatters"""
 
@@ -17,12 +16,11 @@ def __init__(self):
         super().__init__()
 
     def format(self, data):
+        # TODO: document this function better
+        # TODO: write test cases for this function
         form = data.copy()
-        for key in form:
-            if key == 'isWakeWord':
-                form[key] = 'ww' if(form[key]) else 'nww'
-            elif key == 'timestamp':
-                form[key] = int(form[key])
-            else:
-                form[key] = form[key].lower().replace(' ', '-')
+        form["isWakeWord"] = "ww" if (form["isWakeWord"]) else "nww"
+        form["firstName"] = form["firstName"].title()
+        form["lastName"] = form["lastName"].title()
+        form["timestamp"] = int(form["timestamp"])
         return form
diff --git a/modules/validators.py b/modules/validators.py
index dc10085..896a5d0 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -1,66 +1,343 @@
 import time
+import enum
+from abc import ABC
+import datetime
+import re
 
+from werkzeug.exceptions import BadRequestKeyError
 
-class Validator:
 
+class Validator(ABC):
     def __init__(self):
         super().__init__()
 
-    def validate(self, data):
-        """Takes in a dictionary of data and returns a dictionary of issues"""
+    def validate(self, data: dict) -> dict:
+        """
+        Takes in a dictionary of data and returns a dictionary of issues
+        Parameters
+        ----------
+        - `data : dict` form data to validate
+
+        Returns
+        -------
+        dict
+            issues with the data
+        """
         return data
 
-    def fix(self, data, issues):
-        """Takes measures to fill in missing data in form, cloning, mutating and then returning the data. If not possible, raises error"""
+    def fix(self, data: dict, issues) -> dict:
+        """
+        Takes measures to fill in missing data in form, cloning, mutating and then returning the data.
+        If not possible, raises error.
+
+        Parameters
+        ----------
+        - `data : dict` form data to fix
+        - `issues: dict|list` lists of issues to fix for each form section
+
+        Returns
+        -------
+        dict
+            A fixed copy of the data
+
+        Raises
+        ------
+        Exception
+            when the issue with the data are not fixable.
+        """
         return data
 
 
+class WakeWordValidatorIssue(enum.Enum):
+    DOES_NOT_EXIST = 1
+    INVALID = 2
+
+
+class WakeWordValidatorError(Exception):
+    """Raised when.... bad data...
+
+    Attributes:
+        message: an explanation of... why bad data...
+    """
+
+    def __init__(self, message: str):
+        self.message = message
+
+
 class WakeWordValidator(Validator):
     """Ensures that the form metadata recieved from the REST API for the Wake Word audio is valid."""
 
     def __init__(self, validators=None):
         super().__init__()
         self.validators = validators or {
-            'isWakeWord': lambda val: type(val) == str and (val == 'true' or val == 'false'),
-            'noiseLevel': lambda level: type(level) == str and level in 'qml' and len(level) == 1,
-            'tone': lambda tone: type(tone) == str,
-            'location': lambda location: type(location) == str,
-            'gender': lambda gender: type(gender) == str and gender in 'mf' and len(gender) == 1,
-            'lastName': lambda lastName: type(lastName) == str,
-            'firstName': lambda firstName: type(firstName) == str,
-            'timestamp': lambda timestamp: str.isdigit(timestamp),
-            'username': lambda username: type(username) == str,
+            "isWakeWord": lambda val: type(val) == str
+            and (val == "true" or val == "false"),
+            "noiseLevel": lambda level: type(level) == str
+            and level in "qml"
+            and len(level) == 1,
+            "tone": lambda tone: type(tone) == str,
+            "location": lambda location: type(location) == str,
+            "gender": lambda gender: type(gender) == str
+            and gender in "mf"
+            and len(gender) == 1,
+            "lastName": lambda lastName: type(lastName) == str,
+            "firstName": lambda firstName: type(firstName) == str,
+            "timestamp": lambda timestamp: str.isdigit(timestamp),
+            "username": lambda username: type(username) == str,
         }
 
     def validate(self, data):
-        """Checks if the Wake Word audio metadata is complete and in its correct form. Returns array of issues."""
+        """
+        Checks if the Wake Word audio metadata is complete and in its correct form.
+        Returns array of issues.
+        """
         issues = {}
         for key in self.validators:
             validator = self.validators[key]
             try:
-                val = data[key]
-            except:
-                issues[key] = 'DNE'
-            if(not validator(val)):
-                issues[key] = 'invalid'
+                value = data[key]
+                if not validator(value):
+                    issues[key] = WakeWordValidatorIssue.INVALID
+            except BadRequestKeyError as e:
+                print("caught BadRequestKeyError: ", e.args)
+                issues[key] = WakeWordValidatorIssue.DOES_NOT_EXIST
         return issues
 
     def fix(self, data, issues):
-        """Attempts to fix Wake Word audio metadata. If the data issue is irreplaceable, raises ValueError"""
+        """
+        Attempts to fix Wake Word audio metadata.
+        If the data issue is irreplaceable, raises WakeWordValidatorError.
+        """
         form = data.copy()
         for key in issues:
             issue = issues[key]
-            if(issue == 'DNE'):
-                if(key == 'username'):
-                    form[key] = 'guest'
-                elif(key == 'timestamp'):
+            if issue == WakeWordValidatorIssue.DOES_NOT_EXIST:
+                if key == "username":
+                    form[key] = "guest"
+                    print("fixed username", form[key])
+                elif key == "timestamp":
                     form[key] = int(time.time())
-                    print('fixed timestamp', form[key])
+                    print("fixed timestamp", form[key])
                 else:
-                    raise ValueError(
-                        f"Required audio metadata '{key}' was not provided")
-            elif(issue == 'invalid'):
+                    raise WakeWordValidatorError(
+                        f"Required audio metadata '{key}' was not provided"
+                    )
+            elif issue == WakeWordValidatorIssue.INVALID:
                 # TODO: anticipate invalid entries and correct them.
-                raise ValueError(
-                    f"{key} has invalid value of {form[key]} with a type of {type(form[key])}")
+                raise WakeWordValidatorError(
+                    f"{key} has invalid value of {form[key]} with a type of {type(form[key])}"
+                )
+        return form
+
+
+class PhrasesValidatorError(Exception):
+    """Unfixable data corruption in a query phrase object"""
+
+    def __init__(self, message: str):
+        super().__init__(self, message)
+        self.message = message
+
+
+class PhrasesValidatorIssue(enum.Enum):
+    INVALID = 0
+    DELIMITER_MISMATCH = 1
+    TOKEN_VAR_MISMATCH = 2
+
+
+class PhrasesValidator(Validator):
+    """Validates new query phrases passed from the web app"""
+
+    def __init__(self):
+        super().__init__()
+        self.error_messages = {
+            PhrasesValidatorIssue.INVALID: "An unknown error occurred",
+            PhrasesValidatorIssue.DELIMITER_MISMATCH: "The {field_name} field has mismatched bracket token delimiters (square braces).",
+            PhrasesValidatorIssue.TOKEN_VAR_MISMATCH: "The {field_name} field has a differing number of format tokens and variables. Please pass the same number or tokens as variables",
+        }
+
+    def validate(self, data: dict) -> dict:
+        """
+        Ensures that:
+        1. All tokens have an opening and closing delimiter.
+        2. The number of tokens equals the number of provided variables.
+
+        Parameters
+        ----------
+        `data : dict` A question answer pairing {question: {format: str, variables: str}, answer: {format: str, variables: str}}
+        """
+        issues = {"question": [], "answer": []}
+        for field, form in data.items():
+            # All tokens have an opening and closing delimiter
+            if form["format"].count("]") != form["format"].count("["):
+                issues[field].append(PhrasesValidatorIssue.DELIMITER_MISMATCH)
+            # Number of tokens must equal number of variables
+            if len(form["variables"]) != form["format"].count("["):
+                issues[field].append(PhrasesValidatorIssue.TOKEN_VAR_MISMATCH)
+        return issues
+
+    def fix(self, data: dict, issues: dict) -> dict:
+        """
+        Fixes phrases data. 
+        - Critical issues:
+            1. Question delimiters don't match up.
+            2. Question tokens don't the number of provided variables.
+        - Non critical issues:
+            1. Anything wrong with the answer. In this case only the question will be stored.
+
+        Parameters
+        ----------
+        - `data : dict` A question answer pairing - {question: {format: str, variables: str}, answer: {format: str, variables: str}}
+        - `issues: dict` lists of PhrasesValidatorIssues for the quesion answer pairing - {}
+
+        Returns
+        -------
+        dict
+            A fixed copy of the data
+
+        Raises
+        ------
+        PhrasesValidatorError
+            when the issue with the phrase data is not fixable.
+
+        """
+        form = data.copy()
+        question = issues["question"]
+        answer = issues["answer"]
+        if len(question):
+            err_msg = self.error_messages[question[0]].format(field_name="question")
+            print(f"error message {err_msg}")
+            raise PhrasesValidatorError(err_msg)
+        if len(answer):
+            form["answer"]["format"] = ""
+            form["answer"]["variables"] = []
+        return form
+
+
+class FeedbackValidatorError(Exception):
+    """Unfixable data corruption in a query phrase object"""
+
+    def __init__(self, message: str):
+        super().__init__(self, message)
+        self.message = message
+
+
+class FeedbackValidatorIssue(enum.Enum):
+    MISSING_QUESTION = 0
+    INVALID_TIMESTAMP = 1
+    INVALID_TYPE = 2
+    MISSING_ANSWER = 3
+    CONVERT_UNIX_TO_DATETIME = 4
+
+
+class FeedbackValidator(Validator):
+    """Validates new query phrases passed from the web app"""
+
+    def __init__(self):
+        super().__init__()
+        self.error_messages = {
+            FeedbackValidatorIssue.MISSING_QUESTION: "Please provide a question in the passed data",
+            FeedbackValidatorIssue.INVALID_TIMESTAMP: "Timestamp automatically set to current time",
+            FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME: "",
+            FeedbackValidatorIssue.INVALID_TYPE: "Type not provided. Automatically set to OTHER",
+            FeedbackValidatorIssue.MISSING_ANSWER: "Please provide an answer in the passed data",
+        }
+
+    def validate(self, data: dict) -> dict:
+        """
+        Ensures that:
+        1. Timestamp is valid
+        2. A correct answer type is assigned
+        3. A question exists
+        4. An answer exists
+
+        Parameters
+        ----------
+        `data : dict` A feedback object {type: String, timestamp: datetime, question: String, answer: String}
+        """
+        issues = []
+        no_content = re.compile("\W")
+        # Timestamp is valid
+        if "timestamp" not in data or type(data["timestamp"]) != int:
+            issues.append(FeedbackValidatorIssue.INVALID_TIMESTAMP)
+
+        elif "timestamp" in data and type(data["timestamp"]) == int:
+            issues.append(FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME)
+
+        # A correct type is assigned
+        if (
+            "type" not in data
+            or type(data["type"]) != str
+            or data["type"] not in ["fact", "related", "stats", "other"]
+        ):
+            issues.append(FeedbackValidatorIssue.INVALID_TYPE)
+
+        #  A question exists
+        if (
+            "question" not in data
+            or type(data["question"]) != str
+            or no_content.match(data["question"])
+        ):
+            issues.append(FeedbackValidatorIssue.MISSING_QUESTION)
+
+        # An answer exists
+        if (
+            "answer" not in data
+            or type(data["answer"]) != str
+            or no_content.match(data["answer"])
+        ):
+            issues.append(FeedbackValidatorIssue.MISSING_ANSWER)
+
+        return issues
+
+    def fix(self, data: dict, issues: dict) -> dict:
+        """
+        Fixes feedback data. 
+        - Critical issues:
+            1. An invalid timestamp is present
+            2. An invalid type is present
+            3. No question or answer is provided
+
+        Parameters
+        ----------
+        - `data : dict` A feedback object {type: String, timestamp: datetime, question: String, answer: String}
+        - `issues: dict` lists of FeedbackValidatorIssues
+
+        Returns
+        -------
+        dict
+            A fixed copy of the data
+
+        Raises
+        ------
+        FeedbackValidatorError
+            when the issue with the feedback data is not fixable.
+
+        """
+
+        form = data.copy()
+
+        for issue in issues:
+            # fixes invalid timestamp (set to current datetime)
+            if issue == FeedbackValidatorIssue.INVALID_TIMESTAMP:
+                print("Inferred query timestamp on server")
+                form["timestamp"] = datetime.datetime.now()
+
+            # converts a valid unix timestamp to a Python Datetime object
+            elif issue == FeedbackValidatorIssue.CONVERT_UNIX_TO_DATETIME:
+                form["timestamp"] = datetime.datetime.fromtimestamp(form["timestamp"])
+
+            # fixes invalid type (set to OTHER)
+            elif issue == FeedbackValidatorIssue.INVALID_TYPE:
+                print(f"Changed query type from invalid form to 'other'")
+                form["type"] = "other"
+
+            # raises errors for missing answer or missing questions
+            elif issue == FeedbackValidatorIssue.MISSING_ANSWER:
+                raise FeedbackValidatorError(
+                    self.error_messages[FeedbackValidatorIssue.MISSING_ANSWER]
+                )
+            elif issue == FeedbackValidatorIssue.MISSING_QUESTION:
+                raise FeedbackValidatorError(
+                    self.error_messages[FeedbackValidatorIssue.MISSING_QUESTION]
+                )
         return form
diff --git a/nimbus-config-secrets b/nimbus-config-secrets
new file mode 160000
index 0000000..47cbf69
--- /dev/null
+++ b/nimbus-config-secrets
@@ -0,0 +1 @@
+Subproject commit 47cbf69d56d3bd2a199131714967834fe65cfe68
diff --git a/nimbus.py b/nimbus.py
new file mode 100644
index 0000000..302ab14
--- /dev/null
+++ b/nimbus.py
@@ -0,0 +1,80 @@
+# This import fixes a segfault on Ubuntu 18.04.1 LTS.  It doesn't seem to do anything,
+# and doesn't seem to be used by anything, but if its removed, the program segfaults.
+# See issue #90 on github. This segfault does not occur on Mac or Windows.
+# Feel free to debug this if you would like.  Current dev hours counter on this issue:
+# 30 hours
+# Update the counter above if you work on this issue.
+#
+from werkzeug.exceptions import BadRequestKeyError
+from QA import create_qa_mapping, generate_qa_pairs
+from nimbus_nlp.question_classifier import QuestionClassifier
+from nimbus_nlp.variable_extractor import VariableExtractor
+from database_wrapper import NimbusMySQLAlchemy
+
+
+class Nimbus:
+    def __init__(self, db: NimbusMySQLAlchemy):
+        self.db = db
+        qa_pairs = db.get_all_answerable_pairs()
+        self.qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
+        # Instantiate variable extractor and question classifier
+        self.variable_extractor = VariableExtractor()
+        self.classifier = QuestionClassifier(db)
+        # Load classifier model
+        try:
+            self.classifier.load_latest_classifier()
+        except ValueError as e:
+            # happens when the model doesn't exist; train a new model.
+            self.classifier.train_model()
+            self.classifier.load_latest_classifier()
+
+    def answer_question(self, question):
+        ans_dict = self.predict_question(question)
+        print(ans_dict)
+        try:
+            qa = self.qa_dict[ans_dict["question class"]]
+        except KeyError:
+            # Printed if question isn't found. This occurs because the training set is broader
+            # than the answerable question set.
+            return "I'm sorry, I don't understand. Please try another question."
+        else:
+            answer = qa.answer(ans_dict)
+            if answer is None:
+                # Printed when a database query was made and a null value was returned.
+                # Should be handled in the QA class in the future.
+                return (
+                    "I'm sorry, I understand your question but was unable to find an answer. "
+                    "Please try another question."
+                )
+            else:
+                return answer
+
+    def predict_question(self, question):
+        """
+        Runs through variable extraction and the question classifier to
+        predict the intended question.
+        Args: input_question (string) - user input question to answer
+        Return: nlp_props (dict) - contains the user"s input question,
+                                   the variable extracted input question,
+                                   the entity extracted, and the predicted
+                                   answer
+        """
+
+        # Get dictionary of extracted variables + info from question
+        nlp_props = self.variable_extractor.extract_variables(question)
+
+        # Add classified question to nlp_props dictionary
+        nlp_props["question class"] = self.classifier.classify_question(
+            nlp_props["normalized question"]
+        )
+
+        return nlp_props
+
+
+if __name__ == "__main__":
+    ve = VariableExtractor()
+    db = NimbusMySQLAlchemy()
+    qa_pairs = db.get_all_answerable_pairs()
+    qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
+    extracted = ve.extract_variables("How do I zoom Dr. Khosmood?")
+    print(qa_dict["How do I zoom [PROF]?"].answer(extracted))
diff --git a/nimbus_nlp/__init__.py b/nimbus_nlp/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/nimbus_nlp/models/classification/nlp-model_05_08_2020_16_49_27.pkl b/nimbus_nlp/models/classification/nlp-model_05_08_2020_16_49_27.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..7baf48b8b7b8f0c1c580479d4e02f830cf22f077
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diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
new file mode 100644
index 0000000..17e2b67
--- /dev/null
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -0,0 +1 @@
+{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preqs": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "advisor": 0, "build": 0, "in": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
new file mode 100644
index 0000000..a437578
--- /dev/null
+++ b/nimbus_nlp/question_classifier.py
@@ -0,0 +1,218 @@
+import collections
+import json
+import numpy as np
+import spacy
+import sklearn.neighbors
+
+from nimbus_nlp.save_and_load_model import save_model, load_latest_model, PROJECT_DIR
+from typing import Tuple
+
+# TODO: move the functionality in this module into class(es), so that it can be more easily used as a dependency
+
+
+class QuestionClassifier:
+    def __init__(self, db, file_path="question_set_clean.csv"):
+        self.db = db
+        self.classifier = None
+        self.nlp = spacy.load('en_core_web_sm')
+        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
+        self.overall_features = {}
+
+    def train_model(self):
+        self.classifier = self.build_question_classifier(question_pairs=self.db.get_all_answerable_pairs())
+        save_model(self.classifier, "nlp-model")
+
+
+    def load_latest_classifier(self):
+        self.classifier = load_latest_model()
+        with open(PROJECT_DIR + '/models/features/overall_features.json', 'r') as fp:
+            self.overall_features = json.load(fp)
+
+    def get_question_features(self, question):
+        # print("using new algorithm")
+        """
+        Method to extract features from each individual question.
+        """
+        features = {}
+
+        # Extract the main verb from the question before additional processing
+        main_verb = str(self.extract_main_verb(question))
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+
+        filtered_words = self.get_lemmas(words)
+
+        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
+        stemmed_main_verb = self.nlp(main_verb)[0]
+        features[stemmed_main_verb.text] = 60
+
+        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
+        # WITH WEIGHT 60
+        words_pos = nltk.pos_tag(filtered_words)
+        for word_pos in words_pos:
+            if self.is_wh_word(word_pos[1]):
+                features[word_pos[0]] = 60
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
+            if word not in features:
+                features[word] = 30
+
+        return features
+
+    def get_question_features_old_algorithm(self, question):
+        print("using old algorithm....")
+        """
+            Method to extract features from each individual question.
+            """
+        features = {}
+
+        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
+        matches = re.findall(r'(\[(.*?)\])', question)
+        for match in matches:
+            question = question.replace(match[0], '')
+            features[match[0]] = 90
+        question = re.sub('[^a-zA-Z0-9]', ' ', question)
+
+        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
+        words = nltk.word_tokenize(question)
+        words = [word.lower() for word in words if '[' and ']' not in word]
+        filtered_words = self.get_lemmas(words)
+
+        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
+        features[filtered_words[0]] = 60
+        filtered_words = [
+            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
+        for word in filtered_words:
+            features[word] = 30
+
+        return features
+
+        # Disable named entity recognition for speed
+        self.nlp = spacy.load("en_core_web_sm", disable=["ner"])
+        self.WH_WORDS = {"WDT", "WP", "WP$", "WRB"}
+        self.overall_features = {}
+
+    # Added question pairs as a parameter to remove database_wrapper as a dependency
+    # Including database_wrapper introduces circular dependencies
+    def build_question_classifier(self, question_pairs: Tuple[str, str]):
+        """
+        Build overall feature set for each question based on feature vectors of individual questions.
+        Train KNN classification model with overall feature set.
+        """
+        questions = [q[0] for q in question_pairs]
+        question_features = [self.get_question_features(self.nlp(q)) for q in questions]
+
+        for feature in question_features:
+            for key in feature:
+                self.overall_features[key] = 0
+        self.overall_features["not related"] = 0
+
+        vectors = []
+        for feature in question_features:
+            vector_gen = [
+                feature[k] if k in feature else 0 for k in self.overall_features
+            ]
+            vectors.append(np.array(vector_gen))
+
+        vectors = np.array(vectors)
+        y_train = np.array(questions)
+        new_classifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=1)
+        new_classifier.fit(vectors, y_train)
+
+        with open(PROJECT_DIR + "/models/features/overall_features.json", "w") as fp:
+            json.dump(self.overall_features, fp)
+
+        return new_classifier
+
+    def is_wh_word(self, token):
+        return token.tag_ in self.WH_WORDS
+
+    def filter_wh_tags(self, spacy_doc):
+        return [t.text for t in spacy_doc if self.is_wh_word(t)]
+
+    def validate_wh(self, s1, s2):
+        # only parses as a spacy doc if necessary
+        doc1 = s1 if type(s1) == spacy.tokens.doc.Doc else self.nlp(s1)
+        doc2 = s2 if type(s2) == spacy.tokens.doc.Doc else self.nlp(s2)
+        return self.filter_wh_tags(doc1) == self.filter_wh_tags(doc2)
+
+    def get_question_features(self, spacy_doc):
+        features = dict()
+
+        for token in spacy_doc:
+
+            # Filters stop words, punctuation, and symbols
+            if token.is_stop or not (token.is_digit or token.is_alpha):
+                continue
+
+            # Add [VARIABLES] with weight 90.
+            # token.i returns the index of the token, and token.nbor(n) return the token
+            # n places away. Only the left neighbor is tested for brevity.
+            elif token.i != 0 and token.nbor(-1).text == "[":
+                features[token.text] = 90
+
+            # Add WH words with weight 60
+            elif self.is_wh_word(token):
+                # .lemma_ is already lowercase; no .lower() needed
+                features[token.lemma_] = 60
+
+            # Add all other words with weight 30
+            else:
+                features[token.lemma_] = 30
+
+        # Replace the stemmed main verb with weight 60
+        sent = next(spacy_doc.sents)
+        stemmed_main_verb = sent.root.lemma_
+        features[stemmed_main_verb] = 60
+
+        return features
+
+    def classify_question(self, question):
+        if self.classifier is None:
+            raise ValueError("Classifier is not initialized")
+
+        # Create the spacy doc. Handles pos tagging, stop word removal, tokenization,
+        # lemmatization, etc
+        doc = self.nlp(question)
+        test_features = self.get_question_features(doc)
+
+        array_gen = [
+            test_features[k] if k in test_features else 0 for k in self.overall_features
+        ]
+        test_array = np.array(array_gen)
+
+        # Flatten array into a vector
+        test_vector = test_array.reshape(1, -1)
+
+        min_dist = np.min(self.classifier.kneighbors(test_vector, n_neighbors=1))
+
+        if min_dist > 150:
+            return "I don't think that's a Statistics related question! Try asking something about the STAT curriculum."
+
+        # Cast to string because the classifier returns a numpy.str_, which causes issues
+        # with the validate_wh function below.
+        predicted_question = str(self.classifier.predict(test_vector)[0])
+        wh_words_match = self.validate_wh(doc, predicted_question)
+
+        if not wh_words_match:
+            return "WH Words Don't Match"
+
+        return predicted_question
+
+
+
+
diff --git a/nimbus_nlp/question_set_clean.csv b/nimbus_nlp/question_set_clean.csv
new file mode 100644
index 0000000..33a34c8
--- /dev/null
+++ b/nimbus_nlp/question_set_clean.csv
@@ -0,0 +1,529 @@
+questionFormat
+What is [COURSE] about?
+What are the prereqs for [COURSE]?
+Which courses are required to be taken before [COURSE]?
+What courses have [COURSE] as a prereq?
+Which majors require [COURSE]?
+Which majors avoid [COURSE]?
+What are the sections times for [COURSE] next quarter?
+What are the sections times for [COURSE] this quarter?
+How many sections of [COURSE] are being offered this quarter?
+How many sections of [COURSE] are being offered next quarter?
+How many units does [COURSE] count towards?
+When is [COURSE] typically offered?
+During what quarters is [COURSE] typically offered?
+Is [COURSE] going to be offered next quarter?
+Is tutuoring offered for [COURSE]
+Is there any information on [COURSE]?
+Is [COURSE] currently offered?
+Is [COURSE] a 4 unit class?
+Does [COURSE] have any prerequisites?
+What terms is [COURSE] typically offered?
+Which terms is [COURSE] offered?
+Does [COURSE] require consent of instructor?
+Can I get into [COURSE] with instructor's consent?
+What are the prerequisites for [COURSE]?
+What classes do I have to take before [COURSE]?
+What are the recommended prerequisites for [COURSE]?
+What classes do I need in order to take [COURSE]?
+Which classes have [COURSE] as a prerequisite?
+Does [COURSE] have an upper divisional prerequisite?
+Do I need a C- or better in [COURSE] to take any other classes?
+What is the shortest path to taking [COURSE]?
+Which classes require [COURSE] standing?
+Which classes do not require [COURSE] standing?
+When do most people take [COURSE]?
+Is [COURSE] limited in total credit?
+Can I select [COURSE] as a tech elective?
+What is the structure of [COURSE]?
+How many units is [COURSE]?
+Is [COURSE] crosslisted in another department?
+Is [COURSE] credit/no credit grading only?
+What topics are covered in [COURSE]?
+What is the course title for [COURSE]?
+What is [COURSE] also called?
+What is the name of [COURSE]?
+What is the course code for [COURSE]?
+Does [COURSE] include group work?
+Is [COURSE] project based?
+What class should I take after [COURSE]?
+What classes build off [COURSE]?
+Which classes are most similar to [COURSE]?
+What classes should I take with [COURSE]?
+How many units do I need to take to be considered a [COURSE]?
+Can I take [COURSE] credit no credit?
+Can I take [COURSE] pass-fail?
+Is [COURSE] a required course?
+Do I have to take [COURSE]?
+How many hours a week is [COURSE]?
+How much time is spent in [COURSE] per week?
+How many times is [COURSE] offered per year?
+In how many quarters is [COURSE] offered?
+When is [COURSE] offered?
+When is [COURSE] available?
+When can I take [COURSE]?
+Does [COURSE] fulfill more than one requirement?
+Can I use [COURSE] to fulfill more than one requirement?
+How many units does [COURSE] have?
+How many units does [COURSE] fulfill?
+What does [COURSE] fulfill?
+Does [COURSE] fulfill anything?
+What requirements does [COURSE] fulfill?
+How many lectures does [COURSE] have?
+How many times a week does [COURSE] week?
+How many lectures make up [COURSE]?
+Does [COURSE] have a lab?
+Do I have to take a lab with [COURSE]?
+How many labs does [COURSE] have?
+How many prerequisites does [COURSE] have?
+Are there any prerequisites for [COURSE]?
+What classes can I take instead of [COURSE]?
+What are alternatives to [COURSE]?
+Are there any alternatives for [COURSE]?
+How many alternative does [COURSE] Have?
+Can I take something else instead of [COURSE]?
+What courses substitute [COURSE]?
+What STAT courses have [COURSE] as a prereq?
+What courses do you need to take before taking [COURSE]?
+Does [COURSE] have any preqs?
+Is [COURSE] being offered this quarter?
+Can I take [COURSE] this quarter?
+Do I need to take [COURSE] to major in Statistics?
+Is [COURSE] necessary to get a stats degree?
+When's the next time I can take [COURSE]?
+Is [COURSE] being offered soon?
+Does [COURSE] help me get a stats minor?
+Does [COURSE] contribute to my stats minor?
+Has [COURSE] ever been offered by the stats department?
+When has [COURSE] been offered?
+What class is [COURSE]?
+What is the description of [COURSE]?
+What do you learn in [COURSE]?
+What term is [COURSE] typically offered?
+When is [COURSE] usually offered?
+Does [COURSE] fulfill any GE requirements?
+How many prerequisite classes are needed for me to take [COURSE]?
+List classes below [COURSE].
+List classes above [COURSE].
+Does [COURSE] require any MATH classes?
+Which classes have a [COURSE] prerequisite?
+Does [COURSE] require instructor approval?
+Is [COURSE] being offered next quarter?
+Is [COURSE] a graduate level course?
+Is [COURSE] a undergraduate level course?
+Does [COURSE] have non-statistics prerequisites?
+Does [COURSE] have non-statistics and non-math prerequisites?
+Is [COURSE] part of the data science minor?
+What teachers teach [COURSE] this quarter?
+What teachers have taught [COURSE] in the past?
+Does [COURSE] require programming experience?
+When should [COURSE] be taken based on the stat flowchart?
+Are there sections for [COURSE] that are open next quarter?
+Who is the highest ranked teacher teaching [COURSE]?
+Who is the lowest ranked teacher teaching [COURSE]?
+What data science minor courses have [COURSE] as a prerequisite?
+Do I need [COURSE] to complete the data science minor?
+Is [COURSE] an upper level or lower level course?
+When was the last time [COURSE] was offered?
+Is [COURSE] an upper level course?
+Is [COURSE] a lower level course?
+When should I take [COURSE]?
+What is [COURSE]?
+Does the department offer [COURSE].
+What will I learn in [COURSE]?
+Is there a class on [COURSE]?.
+Are there any workshops or study sessions available for [COURSE]?
+What courses are needed to take [COURSE]?
+How much credits is [COURSE] worth?
+What is the number for [COURSE]?
+What courses have [COURSE] as a prerequisite?
+What comes after [COURSE]?
+What is the description for [COURSE]?
+Who should I take [COURSE] with?
+Who typically teaches [COURSE]?
+Does [COURSE] have any non CS/SE prerequisites?
+Is [COURSE] offered on a Credit/No Credit basis?
+Is there a grade prerequesite for [COURSE]?
+Does [COURSE] have any corequisites?
+Does [COURSE] have any concurrent enrollements?
+How is [COURSE] listed?
+Who is the best professor for [COURSE] with?
+Which professors have taught [COURSE]?
+Which quarter is [COURSE] typically offered?
+Does [COURSE] have a prerequisite from another department?
+What course number does [COURSE] have?
+What course name does [COURSE] have?
+How many units of lab does [COURSE] have?
+Are there any recommended classes for [COURSE]?
+Is [COURSE] corsslisted?
+Which departments does [COURSE] have prerequisites in?
+On what level is [COURSE]?
+Which courses require [COURSE]
+Who is the best professor to take for [COURSE]?
+Who teaches [COURSE]?
+Who is usually the professor for [COURSE]?
+Who has taught [COURSE] in the past?
+What is the highest rated polyrating professor for [COURSE]?
+What is the highest rated polyrating professor that is currently teaching [COURSE]?
+What is the highest rated polyrating professor that taught [COURSE] last quarter?
+What is the highest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+What is the lowest rated polyrating professor for [COURSE]?
+What is the lowest rated polyrating professor that is currently teaching [COURSE]?
+What is the lowest rated polyrating professor that taught [COURSE] last quarter?
+What is the lowest rated polyrating professor that is scheduled to teach [COURSE] next quarter?
+How many professors teach [COURSE]?
+Which professors teach [COURSE]?
+What professor(s) typically teach [COURSE]?
+What professor(s) teach [COURSE] this quarter?
+Which professors are teaching [COURSE] next quarter?
+Who are the professors teaching [COURSE] next quarter?
+Can I get tutoring in [COURSE]?
+Is tutoring available for [COURSE]?
+Is tutoring provided for [COURSE]?
+"During Stat tutoring, can I get help with [COURSE]"
+What courses is [PROF] teaching this quarter?
+What courses is [PROF] teaching next quarter?
+What is [PROF] schedule like this quarter?
+What is [PROF] schedule like next quarter?
+How many courses is [PROF] teaching?
+What are [PROF]'s research areas?
+How many research areas does [PROF] have?
+How many proposals has [PROF] written at Cal Poly?
+Does [PROF] have a website?
+What is [PROF]'s website?
+Where can I learn more about [PROF]?
+Does [PROF] have a Cal Poly website?
+What classes does [PROF] teach?
+What buildings does [PROF] teach in?
+How many students does [PROF] currently teach between all their classes?
+What time are all [PROF]'s classes taught?
+What classes are [PROF] teaching next quarter?
+When are [PROF]'s office hours?
+Does [PROF] have office hours right now?
+Does [PROF] have office hours later today?
+Does [PROF] have office hours tomorrow?
+Where is [PROF]'s office?
+How many office hours does [PROF] have this week?
+What is [PROF]'s email?
+How can I email [PROF]?
+What is the email of [PROF]?
+Is [PROF]'s email listed?
+What is [PROF]'s average PolyRating?
+What classes does [PROF] have PolyRatings for?
+How many PolyRatings does [PROF] have?
+Is [PROF] reviewed on PolyRatings?
+Does [PROF] have a PolyRating?
+When is the most recent PolyRating for [PROF]?
+What level of professor is [PROF]?
+List all [PROF] level professors.
+Is [PROF] a professor at Cal Poly?
+What is professor [PROF]'s first name?
+Does [PROF] currently teach at Cal Poly?
+What is [PROF]'s phone number?
+What is the phone number for [PROF]?
+How many phone numbers are listed for [PROF]?
+Does [PROF] have a phone number listed?
+Is there a phone number listed for [PROF]?
+Which courses does [PROF] teach?
+What is [PROF]'s poly rating?
+Is [PROF] a faculty advisor?
+What are the research interests of [PROF]?
+What research areas are [PROF] interested in?
+What is [PROF] researching?
+What is the average polyrating of [PROF]?
+What is [PROF] rated on polyratings?
+How good of a professor is [PROF]?
+Is [PROF] a good professor?
+Is [PROF] well liked?
+Which of [PROF] has the highest polyrating?
+What is the URL for [PROF]'s polyratings?
+How many different classes will [PROF] teach next quarter?
+What courses has [PROF] taught?
+What courses does [PROF] teach?
+What is [PROF] teaching this quarter?
+Is [PROF] teaching any classes this quarter?
+Where is [PROF] teaching right now?
+Where will [PROF] be teaching next?
+Where did [PROF] go to school?
+What degrees does [PROF] have?
+What schools has [PROF] attended?
+Who are the [PROF] in the CSSE program at Cal Poly?
+What school did [PROF] get their degree from?
+How many degrees does [PROF] have?
+How long has [PROF] taught at Cal Poly?
+What year did [PROF] start at Cal Poly?
+When did [PROF] start teaching at Cal Poly?
+Did [PROF] study at Cal Poly?
+When was [PROF] a professor at Cal Poly?
+What is the highest degree of [PROF]?
+Where did [PROF] get their most recent degree?
+What is [PROF]'s highest degree?
+Is [PROF] still working at Cal Poly?
+Does [PROF] still teach at Cal Poly?
+Has there ever been a professor [PROF] in Cal Poly CSSE?
+Did [PROF] ever teach in the computer science department?
+What published research projects does [PROF] have?
+How many research papers has [PROF] submitted for Cal Poly?
+What papers has [PROF] contributed to the Cal Poly Digital Commons?
+Has [PROF] published any papers?
+What research papers has [PROF] written?
+What senior projects has [PROF] advised?
+How many senior projects has [PROF] advised?
+What senior projects did [PROF] advise last year?
+Whose senior projects has [PROF] advised?
+What is the average length of papers published by [PROF]?
+Where can I learn more about [PROF]'s research?
+In what journals has [PROF] been published?
+What journals has [PROF] published papers in?
+How can I contact [PROF]?
+What is [PROF]'s contact information?
+What number do I call to reach [PROF]?
+How can I reach [PROF]?
+In what room is [PROF]'s office?
+Where can I find [PROF]'s website?
+Does [PROF] have a personal website?
+What is [PROF]'s home page?
+What is the email address of [PROF]?
+What is the office of [PROF]?
+What are the names and emails of all computer science [PROF]?
+Who are the computer science [PROF]s at Cal Poly?
+Who shares an office with [PROF]?
+Does anyone share an office with [PROF]?
+What time are [PROF]'s office hours?
+When can I visit [PROF]'s office?
+Is [PROF] hosting office hours right now?
+Is [PROF] in their office now?
+What is the job title of [PROF]?
+Is [PROF] a lecturer or a professor?
+What is the position of [PROF]?
+What is [PROF]'s job at Cal Poly?
+"In the CSSE department, how many faculty members are [PROF]?"
+How many computer science [PROF] are there at Cal Poly?
+Who are the professors with the last name [PROF]?
+Where is [PROF] right now?
+"At the moment, where is [PROF]?"
+Where is [PROF] currently?
+Where is the next place I can find [PROF]?
+When can I next find [PROF] on campus?
+What are [PROF]'s personal interests?
+What are [PROF]'s professional distinctions?
+Where did [PROF] get their BS?
+Which school did [PROF] get their BS at?
+Which school did [PROF] get their Master's at?
+Where did [PROF] get their Master's?
+Where did [PROF] get their doctorate?
+Which school did [PROF] get their doctorate at?
+When did [PROF] get their BS?
+What year did [PROF] get their BS?
+When did [PROF] get their Master's?
+What year did [PROF] get their Master's?
+When did [PROF] get their doctorate?
+What year did [PROF] get their doctorate?
+What is [PROF]'s title?
+What is the title of [PROF]?
+What is the phone number of [PROF]?
+What building is [PROF]'s office in?
+What time does [PROF] have office hours today?
+What days does [PROF] have office hours?
+Which professors neighbor [PROF]?
+How many professors neighbor [PROF]?
+When will [PROF] be at his/her office?
+Is [PROF] at their office right now?
+How many classes is [PROF] teaching this quarter?
+How many classes is [PROF] teaching next quarter?
+How many polyratings does [PROF] have?
+Does [PROF] recognize student difficulties?
+How well does [PROF] recognize student difficulties?
+Does [PROF] present material clearly?
+How clearly does [PROF] present material?
+What grades has [PROF] given out (on polylearn)?
+What is the average polyratings grade for [PROF]?
+What professional distinctions does [PROF] have?
+Does [PROF] have any areas of research?
+What are the Mathematics/Statistics Support Elective options for [MMC]
+What are the approved technical electives for [MMC]
+Which courses will count as approved external electives for [MMC]
+Is taking the GRE required for acceptance into the 4+1 program for [MMC]?
+What classes are availabe to satisfy the pre-requisite technical elective course for [MMC]?
+Which courses will count as approved pre-requisite technical electives for [MMC]
+What [MMC] electives are offered next quarter?
+What are the electives being offered for [MMC] next quarter?
+Which electives are offered for [MMC] for next quarter?
+What courses are required for the [MMC] minor?
+Which courses do I need to take for the [MMC] minor?
+How many units are required to obtain the 4+1 blended BS/MS degree for [MMC]?
+What courses are required for the [MMC] concentration?
+Which courses do I need to take for the [MMC] concentration?
+What are the life science support elective options for [MMC]
+What are the support course options for [MMC]?
+Which courses are part of the [MMC]?
+Which courses are optional for [MMC]?
+Which courses in [MMC] can I skip through AP Credit?
+Which courses in [MMC] can I skip through IB Credit?
+Which minor or concentration adds the least amount of graduation time to the [MMC]?
+How many general education courses do I need to take for the [MMC] major?
+How many support courses do I need to take for the [MMC] major?
+What is the units break down for [MMC] major?
+How many GE units do I need for the [MMC] major?
+How many support units do I need for the [MMC] major?
+How many units do I need for the [MMC] major?
+"In order to complete the [MMC] major, how many units will I need?"
+How many units do I need for the [MMC] minor?
+How many units does the [MMC] require?
+How many classes per quarter do I have to take for [MMC]?
+How many concentrations are there in [MMC]?
+How many courses are required for [MMC]?
+Can I double major with [MMC]?
+What are the degree requirements for [MMC]?
+How many students are enrolled in [MMC]?
+Is there a BS/MS blend with [MMC]?
+How many units are required for [MMC]?
+Does an inquiry need to be submitted to switch into [MMC]
+What are the minimum requirements to switch into [MMC]
+Does [MMC] contain any free electives?
+What courses are needed to obtain [MMC]
+Is there a GPA requirement to enroll in [MMC]
+How many tech electives are required for [MMC]?
+What are the general education categories required for [MMC] majors?
+Are there any [MMC] classes that can be taken by credit/no credit?
+Can any technical electives for [MMC] be taken by credit/no credit?
+How many GEs do I have to take in [MMC]?
+How many general educations do I have to take in [MMC]?
+How many general education classes do I have to take in [MMC]?
+How many units of electives do I need for [MMC]?
+What is the total number of units of electives needed to graduate in [MMC]?
+How many approved electives do I have to take for the [MMC]?
+What are the approved electives I can take for a [MMC]?
+What are the program educational objectives for the [MMC]?
+What are the learning outcomes of [MMC]?
+What are the learning outcomes for [MMC]?
+What are the [MMC] courses?
+What are the courses required for [MMC]?
+How many courses do we have in [MMC]?
+What are some [MMC] resources that are available?
+What resources are there for [MMC]?
+Where can I get advising for a [MMC]?
+What are the course numbers that are considered independent study in [MMC]?
+How many units do I need for a [MMC]?
+What are the steps to apply for the [MMC]?
+How do I apply for a [MMC]?
+What are the required courses for the [MMC]?
+What are the prerequisites for the [MMC]?
+Where can I get the application for the [MMC]?
+Where can I get the flowchart for the [MMC]?
+What courses should I take each quarter for the [MMC]?
+How many classes do I have to take for [MMC]?
+What is the total number of classes needed to graduate in [MMC]?
+How do I declare [MMC] concentration?
+Who are the minor advisors for [MMC]?
+Who can I contact to get more information about the [MMC]?
+Who can I contact if I have questions about [MMC]?
+Who will help me if I have doubts about [MMC]?
+Where can I get the flowchart for [MMC]?
+What are the GE area required for [MMC]?
+What are the undergraduate courses for [MMC]?
+What are the graduate courses for [MMC]?
+How many GE areas have to be completed for [MMC]?
+What minor would make more sense with [MMC]
+"At best, how long last [MMC]?"
+How many years are necessary to graduate from [MMC]?
+What are the tech electives for [MMC]?
+What courses are electives for [MMC]?
+What electives can I take to get a [MMC]?
+What courses are credit not allowed for [MMC]?
+What are the program objectives of [MMC]?
+How many people are in the classes for [MMC]?
+Who accredits the [MMC]?
+What are the prerequisites for [MMC]?
+Is there a [MMC] Minor?
+What is the [MMC] Minor?
+Is [MMC] a part of another department?
+Who is the advisor for [MMC]?
+How many units to get a Minor in [MMC]?
+How many prerequisites are there for [MMC]?
+How many students take [MMC]?
+Will [MMC] help me get a job?
+How many classes would I have to take to get a Minor in [MMC]?
+How do I learn more about [MMC]?
+Which classes are crosslisted in [DEPT]?
+What [DEPT] courses are required?
+What classes are required from [DEPT]?
+How many [DEPT] courses are required?
+How many courses from [DEPT] are required?
+How many classes of [DEPT] do I have to complete?
+What clubs does the [DEPT] department offer?
+How many clubs are in the [DEPT] department?
+What types of clubs does the [DEPT] department offer?
+How do you sign up to be a [DEPT] tutor?
+What accreditations does [DEPT] have?
+What college does [DEPT] belong to?
+What positions are available in [DEPT]?
+Can I get a job at Cal Poly in [DEPT]?
+Who is the advisor of the [CLUB] club?
+What is the email of the President of the [CLUB] club?
+What type of club is the [CLUB] club?
+What is the email for the advisor of the [CLUB] club?
+What is the [CLUB] club?
+What is the homepage of the [CLUB] club?
+What is the box number of the [CLUB] club?
+What is the email for the [CLUB] club?
+What are the social media accounts for the [CLUB] club?
+How many people follow the [CLUB] club's Facebook page?
+Are there any new posts on the [CLUB] club's Facebook page?
+What is the next event for [CLUB]?
+When is the next event for [CLUB]?
+Who are the officers for [CLUB] club?
+When are the meetings for [CLUB] club?
+When is the next meeting for [CLUB] club?
+Where is [CLUB] located?
+Does [CLUB] have their own room?
+What college is affiliated with the [CLUB] club?
+What are some past events of the [CLUB] club?
+What was the last event of the [CLUB] club?
+When was the last event of [CLUB] club?
+Who is the president of the [CLUB] club?
+Who is the vice president of the [CLUB] club?
+Who is the secretary of the [CLUB] club?
+Who is the treasurer of the [CLUB] club?
+How can I contact [CLUB]?
+What is the phone number of the President of the [CLUB] club?
+What is the phone number of the Advisor of the [CLUB] club?
+How many people posted on the [CLUB] club's Facebook page in the past 30 days?
+How many people joined the [CLUB] club's Facebook page in the past 30 days?
+What resources are used by the [CLUB] club?
+How many followers does the [CLUB] club's Instagram account have?
+How many accounts does the [CLUB]'s Instagram follow?
+When was the [CLUB] established?
+Does the [CLUB] have an office?
+Where is the office of the [CLUB]?
+How many officers does the [CLUB] have?
+How many teams does the [CLUB] have?
+Where will the next event of the [CLUB] be held?
+When will the next event of the [CLUB] be held?
+How many events does the [CLUB] have next week?
+What is the next event of the [CLUB]?
+What is the website link for [CLUB]?
+Is there a website for [CLUB]?
+How do I learn more about [CLUB]?
+What does [CLUB] do?
+Who should I contact for [CLUB]?
+Is there a contact for [CLUB]?
+What is the location of [CLUB]?
+Where is [CLUB]?
+Where can I visit [CLUB] online?
+What is the URL for [CLUB]?
+Can you describe the [CLUB]?
+Could you give me a brief overview of [CLUB]?
+Who is the chief contact for [CLUB]?
+Who should I get in touch with for [CLUB]?
+What is the general contact information for [CLUB]?
+Who is the club adviser for [CLUB]?
+What teachers teach a class in [SECRET_HIDEOUT]?
+Which classes are taught in [SECRET_HIDEOUT]?
+Do any teachers have office hours in [SECRET_HIDEOUT]?
+What professors have offices in [SECRET_HIDEOUT]?
+Which professors have office hours in [SECRET_HIDEOUT]?
+Who are the professors with office hours in [SECRET_HIDEOUT]?
+Whose office is in [SECRET_HIDEOUT]?
+Which professors have offices in building [SECRET_HIDEOUT]?
+How many professors have offices in building [SECRET_HIDEOUT]?
diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
new file mode 100644
index 0000000..30f968d
--- /dev/null
+++ b/nimbus_nlp/save_and_load_model.py
@@ -0,0 +1,40 @@
+import glob
+import os
+import numpy as np
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.feature_extraction import DictVectorizer
+from sklearn import svm
+import joblib
+import pickle
+from datetime import datetime
+from os import listdir
+from os.path import isfile, join
+import re
+
+PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
+now = datetime.now()
+date_time = now.strftime("_%m_%d_%Y_%H_%M_%S")
+
+
+def save_model(model, model_name):
+    save_path = (
+        PROJECT_DIR + "/models/classification/" + model_name + date_time + ".pkl"
+    )
+    f = open(save_path, "wb")
+    pickle.dump(model, f)
+    f.close()
+    print("Saved model :", save_path)
+
+
+def load_model(model_name):
+    train_path = PROJECT_DIR + "/models/classification/" + model_name + ".joblib"
+    return joblib.load(train_path)
+
+
+def load_latest_model():
+    # https://stackoverflow.com/a/39327156
+    train_path = PROJECT_DIR + "/models/classification/*"
+    list_of_files = glob.glob(train_path)
+    latest_file = max(list_of_files, key=os.path.getctime)
+    return joblib.load(latest_file)
diff --git a/nimbus_nlp/variable_extractor.py b/nimbus_nlp/variable_extractor.py
new file mode 100644
index 0000000..ad7fa55
--- /dev/null
+++ b/nimbus_nlp/variable_extractor.py
@@ -0,0 +1,143 @@
+import os
+import json
+from google.api_core.client_options import ClientOptions
+from google.cloud import automl_v1
+
+
+class VariableExtractor:
+    def __init__(self, config_file: str = "config.json"):
+
+        with open(config_file) as json_data_file:
+            config = json.load(json_data_file)
+
+        if config.get("GOOGLE_CLOUD_NLP_MODEL_NAME", False):
+            self.model_name = config["GOOGLE_CLOUD_NLP_MODEL_NAME"]
+        else:
+            msg = "config.json is missing {} field.".format(
+                "GOOGLE_CLOUD_NLP_MODEL_NAME"
+            )
+            raise Exception(msg)
+
+        credential_path = os.getcwd() + "/auth.json"
+        # TODO: consider does this even do anything useful?
+        os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = credential_path
+
+    @staticmethod
+    def inline_text_payload(sent):
+        """
+        Converts the input sentence into GCP"s callable format
+        Args: sent (string) - input sentence
+        Return: (dict) - GCP NER input format
+        """
+
+        return {"text_snippet": {"content": sent, "mime_type": "text/plain"}}
+
+    def get_prediction(self, sent):
+        """
+        Obtains the prediction from the input sentence and returns the
+        normalized sentence
+        Args: sent (string) - input sentence
+        Return: request (PredictObject) - predictiton output
+        """
+
+        params = {}
+
+        # Setup API
+        options = ClientOptions(api_endpoint="automl.googleapis.com")
+
+        # Create prediction object
+        predictor = automl_v1.PredictionServiceClient(client_options=options)
+
+        # Format input sentence
+        payload = self.inline_text_payload(sent)
+
+        # Make prediction API call
+        request = predictor.predict(self.model_name, payload, params)
+
+        # Return the output of the API call
+        return request
+
+    def extract_variables(self, sent):
+        """
+        Takes the prediction and replaces the entity with its corresponding tag
+        Args: sent (string) - input sentence
+        Return: (dict) -    "entity" - extracted entity
+                            "tag" - tag of the extracted entity
+                            "normalized entity" - stripped entity
+                            "input question" - input question from the user
+                            "normalized question" - variable-replaced question
+        """
+
+        # Make the prediction
+        request = self.get_prediction(sent)
+
+        # Obtain the entity in the sentence
+        entity = request.payload[0].text_extraction.text_segment.content
+
+        # Obtain the predicted tag
+        tag = request.payload[0].display_name
+
+        # Removes excessive words from the entity
+        normalized_entity = VariableExtractor.excess_word_removal(entity, tag)
+
+        # Replaces the entity of input question with its corresponding tag
+        normalized_question = sent.replace(entity, "[" + tag + "]")
+
+        return {
+            "entity": entity,
+            "tag": tag,
+            "normalized entity": normalized_entity,
+            "input question": sent,
+            "normalized question": normalized_question,
+        }
+
+    @staticmethod
+    def excess_word_removal(entity, tag):
+        """
+        Checks the tag and determines which excess word removal function to use
+        Args: entity (string) - extracted entity from the input question
+        Return: (string) - returns the normalized entity string
+        """
+
+        if tag == "PROF":
+            return VariableExtractor.strip_titles(entity)
+
+        else:
+            return entity
+
+    @staticmethod
+    def strip_titles(entity):
+        """
+        Strips titles from input entities
+        Args: entity (string) - extracted entity from the input question
+        Return: norm_entity (string) - the normalized, title-stripped entity
+        """
+
+        # list of titles for removal
+        titles = {
+            "professor",
+            "dr.",
+            "dr",
+            "doctor",
+            "prof",
+            "instructor",
+            "mrs.",
+            "mr.",
+            "ms.",
+            "mrs",
+            "mr",
+            "ms",
+            "mister",
+        }
+
+        # tokenizes the entity
+        for name in entity.split():
+
+            # checks each token with the titles set and replaces the title
+            # if it is within the word
+            if name.lower() in titles:
+                return entity.replace(name + " ", "")
+
+        # returns the original entity string
+        # if there is no title in the word
+        return entity
diff --git a/office_hours_post_request.py b/office_hours_post_request.py
new file mode 100644
index 0000000..53a55b0
--- /dev/null
+++ b/office_hours_post_request.py
@@ -0,0 +1,192 @@
+import csv
+import json
+import requests
+import sys
+
+
+def convert_to_dict(data_in: list):
+    """
+    Takes a list of string lists which contains each row from
+    a CSV and generates a dictionary of dictionaries which is
+    each professor and their properties
+
+    Args: 
+            data_in (list of str lists)
+
+    Returns:
+            return_dict (dict of dicts)
+
+    Ex:
+    >> data_in = [[
+                    "Smith, John",
+                    "01-234",
+                    "4567",
+                    "jsmith@",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM"]
+                ]
+
+    >> oh_hours = convert_to_dict(data_in)
+    >> oh_hours
+       {
+
+        "Smith, John": 
+            {
+
+                "Name":     "Smith, John"
+                "Office":   "01-234"
+                "Phone":    "4567"
+                "Email":    "jsmith@"
+                "Monday":   "10:00 - 12:00 PM"
+                "Tuesday":  "",
+                "Wednesday":"10:00 - 12:00 PM"
+                "Thursday:  "",
+                "Friday":   "10:00 - 12:00 PM" }
+       }
+
+    """
+
+    # Dictionary of professors to be returned
+    return_dict = {}
+
+    try:
+
+        # Parse each list of the input which is a row from the CSV
+        for data in data_in:
+
+            # Generate the office hours template dictionary
+            office_hours_dict = {
+                "Name": "",
+                "Office": "",
+                "Phone": "",
+                "Email": "",
+                "Monday": "",
+                "Tuesday": "",
+                "Wednesday": "",
+                "Thursday": "",
+                "Friday": "",
+            }
+
+            # Populate each property of the office hours dictionary
+            office_hours_dict["Name"] = data[0]
+            office_hours_dict["Office"] = data[1]
+            office_hours_dict["Phone"] = data[2]
+            office_hours_dict["Email"] = data[3]
+            office_hours_dict["Monday"] = data[4]
+            office_hours_dict["Tuesday"] = data[5]
+            office_hours_dict["Wednesday"] = data[6]
+            office_hours_dict["Thursday"] = data[7]
+            office_hours_dict["Friday"] = data[8]
+
+            # The key of the current professor of the professors dictionary
+            # is the professor's name
+            return_dict[data[0]] = office_hours_dict
+
+        return return_dict
+
+    except Exception as e:
+        raise e
+
+
+def process_csv(curr_file: str):
+    """
+    Reads in the CSV and outputs a list of string lists
+    which is each row of the CSV
+
+    Args:
+        curr_file (str)
+
+    Return:
+        curr_data (list of str lists)
+
+    Ex:
+        >> out_list = process_csv("/path/to/office_hours.csv")
+        >> out_list
+            [[
+                    "Smith, John",
+                    "01-234",
+                    "4567",
+                    "jsmith@",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM",
+                    "",
+                    "10:00 - 12:00 PM"]
+            ]
+    """
+    # List to be returned
+    curr_data = []
+
+    # Open the CSV and read the fields of the CSV
+    with open(curr_file, "r") as csv_file:
+        csvreader = csv.reader(csv_file)
+        fields = next(csvreader)
+
+        # Iterate through each row and append the row
+        # to curr_data
+        for row in csvreader:
+            curr_data.append(row)
+
+    return curr_data
+
+
+def post_request(oh_dict: dict):
+    """
+    Takes in the dictionary of professors and
+    sends the post request.
+
+    Args:
+        oh_dict (dict)
+
+    Return:
+        None
+
+    Ex:
+    >> oh_dict = 
+        {
+            "Smith, John" : 
+            {
+                "Name":     "Smith, John"
+                "Office":   "01-234"
+                "Phone":    "4567"
+                "Email":    "jsmith@"
+                "Monday":   "10:00 - 12:00 PM"
+                "Tuesday":  "",
+                "Wednesday":"10:00 - 12:00 PM"
+                "Thursday:  "",
+                "Friday":   "10:00 - 12:00 PM"}
+       }
+ 
+    >> post_request(oh_dict)
+
+    """
+
+    # URL for making the post request
+    url = sys.argv[2]
+
+    # Header contents for the post request
+    headers = {"Content-Type": "application/json"}
+
+    # Passes the professor dictionary through the post request
+    x = requests.post(url, headers=headers, data=json.dumps(oh_dict))
+
+
+if __name__ == "__main__":
+    if (len(sys.argv) != 3) or (sys.argv[1][-3:] != "csv"):
+        print(
+            "Usage: python office_hours_post_request.py "
+            '"/path/to/office_hours.csv" '
+            '"http://post_request_url.com/new_data/office_hours"'
+        )
+
+    else:
+        try:
+            csv_data = process_csv(sys.argv[1])
+            oh_dict = convert_to_dict(csv_data)
+            post_request(oh_dict)
+
+        except Exception as e:
+            raise e
diff --git a/qa_pair.csv b/qa_pair.csv
new file mode 100644
index 0000000..52a1b1c
--- /dev/null
+++ b/qa_pair.csv
@@ -0,0 +1,2 @@
+question_format,answer_format
+What is the meaning of life?,Dr. Fizzbuzz says the answer is sqrt(1764)
diff --git a/requirements.txt b/requirements.txt
index 7e2c247..52c4e82 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,59 @@
+blis==0.4.1
+cachetools==4.0.0
+catalogue==1.0.0
+certifi==2019.11.28
+chardet==3.0.4
+Click==7.0
+cymem==2.0.3
+Flask==1.1.1
+Flask-Cors==3.0.8
+fuzzywuzzy==0.18.0
+google-api-core==1.16.0
+google-api-python-client==1.7.11
+google-auth==1.11.2
+google-auth-httplib2==0.0.3
+google-cloud==0.34.0
+google-cloud-automl==0.10.0
+googleapis-common-protos==1.51.0
+grpcio==1.27.2
+gunicorn==20.0.4
+httplib2==0.17.0
+idna==2.6
+importlib-metadata==1.5.0
+itsdangerous==1.1.0
+Jinja2==2.11.1
+MarkupSafe==1.1.1
+marshmallow==3.5.0
+mock==4.0.1
+murmurhash==1.0.2
 mysql-connector-python==8.0.18
-protobuf==3.10.0
-six==1.13.0
+nltk==3.4.5
+numpy==1.18.3
+oauth2client==4.1.3
+pandas==1.0.1
+plac==1.1.3
+preshed==3.0.2
+protobuf==3.11.3
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+PyDrive==1.3.1
+pytest==5.3.5
+python-dateutil==2.8.1
+python-Levenshtein==0.12.0
+pytz==2019.3
+PyYAML==5.3
+requests==2.23.0
+rsa==4.0
+scikit-learn==0.22.2
+scipy==1.4.1
+six==1.11.0
+spacy==2.2.4
+SQLAlchemy==1.3.13
+srsly==1.0.2
+thinc==7.4.0
+tqdm==4.43.0
+uritemplate==3.0.1
+urllib3==1.25.8
+wasabi==0.6.0
+Werkzeug==1.0.0
+zipp==3.0.0
diff --git a/run.sh b/run.sh
new file mode 100755
index 0000000..8dc8097
--- /dev/null
+++ b/run.sh
@@ -0,0 +1,2 @@
+#!/bin/bash
+python3 flask_api.py
diff --git a/run_tests.sh b/run_tests.sh
new file mode 100755
index 0000000..7d6cc0b
--- /dev/null
+++ b/run_tests.sh
@@ -0,0 +1,2 @@
+#!/bin/bash
+python -m pytest
\ No newline at end of file
diff --git a/settings.yml_SAMPLE b/settings.yml_SAMPLE
new file mode 100644
index 0000000..517d0e8
--- /dev/null
+++ b/settings.yml_SAMPLE
@@ -0,0 +1,20 @@
+# This file allows authentication with Google Drive for the nimbus API
+# This enables uploading files to our Google Drive folder.
+# DO NOT upload this file (or credentials.json) (if containing real secrets) to github or any other public directory!
+client_config_backend: settings
+client_config:
+  client_id: SECRET
+  client_secret: SECRET
+
+save_credentials: True
+save_credentials_backend: file
+save_credentials_file: credentials.json
+
+get_refresh_token: True
+
+oauth_scope:
+  - https://www.googleapis.com/auth/drive.file
+  - https://www.googleapis.com/auth/drive.install
+  - https://www.googleapis.com/auth/drive
+  - https://www.googleapis.com/auth/drive.metadata
+
diff --git a/setup_letsencrypt.sh b/setup_letsencrypt.sh
new file mode 100755
index 0000000..125bf21
--- /dev/null
+++ b/setup_letsencrypt.sh
@@ -0,0 +1,16 @@
+#! /bin/bash
+eval `ssh-agent`
+# clones current info from the private repo using the ssh key setup on deploy
+cd /
+# this will setup github's fingerprint so we can ssh in, and setup our keys
+mkdir ~/.ssh
+ssh-keyscan -H github.com >> ~/.ssh/known_hosts
+ssh-add /nimbus/id_rsa
+git clone git@github.com:CalPolyCSAI/api-certificates.git
+cd /api-certificates
+tar xvf letsencrypt_backup.tar -C /
+crontab /nimbus/letsencrypt-backup-tar.cron
+# updating the certs is free, and shouldn't actually happen if the above has all
+# been successful.  This avoids us not updating if deploys interrupt the update
+# from happening.
+/bin/bash /nimbus/cert-update.sh
diff --git a/setup_special_files_from_env.py b/setup_special_files_from_env.py
new file mode 100755
index 0000000..63a869e
--- /dev/null
+++ b/setup_special_files_from_env.py
@@ -0,0 +1,127 @@
+#!/usr/bin/env python3
+from os import environ, chmod
+import json
+from utilities import yaml_utils  # noqa
+
+# NimbusDatabase stuff
+SAMPLE_CONFIG_FILE = "config.json_SAMPLE"
+CONFIG_FILE = "config.json"
+
+# PYDRIVE stuff
+SAMPLE_PYDRIVE_FILE = "settings.yml_SAMPLE"
+PYDRIVE_FILE = "settings.yml"
+PYDRIVE_FOLDER_ID_FILE = "folder_id.txt"
+GOOGLE_DRIVE_FOLDER_ID_FILE = "folder_id.txt"
+GOOGLE_DRIVE_FOLDER_ID_KEY = "GOOGLE_DRIVE_FOLDER_ID"
+PYDRIVE_CLIENT_ID_KEY = "PYDRIVE_CLIENT_ID"
+PYDRIVE_CLIENT_SECRET_KEY = "PYDRIVE_CLIENT_SECRET"
+GOOGLE_DRIVE_CREDENTIALS_FILE = "credentials.json"
+GOOGLE_DRIVE_CREDENTIALS_KEY = "GOOGLE_DRIVE_CREDENTIALS"
+SSH_CERT_FILE = "id_rsa"
+
+# GOOGLE CLOUD stuff
+GOOGLE_CLOUD_NLP_CREDENTIALS_FILE = "auth.json"
+GOOGLE_CLOUD_NLP_CREDENTIALS_KEY = "GOOGLE_CLOUD_NLP_CREDENTIALS"
+
+BAD_CONFIG_MSG = "uh oh, config vars not set, check heroku settings"
+assert environ.get("DATABASE_HOSTNAME", None) is not None, BAD_CONFIG_MSG
+assert environ.get("DATABASE_PASSWORD", None) is not None, BAD_CONFIG_MSG
+assert environ.get("DATABASE_USERNAME", None) is not None, BAD_CONFIG_MSG
+assert environ.get("DATABASE_NAME", None) is not None, BAD_CONFIG_MSG
+assert environ.get("PYDRIVE_CLIENT_ID", None) is not None, BAD_CONFIG_MSG
+assert environ.get("PYDRIVE_CLIENT_SECRET", None) is not None, BAD_CONFIG_MSG
+# fmt: off
+assert environ.get("GOOGLE_DRIVE_CREDENTIALS", None) is not None, BAD_CONFIG_MSG  # noqa
+assert environ.get("GOOGLE_DRIVE_FOLDER_ID", None) is not None, BAD_CONFIG_MSG  # noqa
+assert environ.get("GOOGLE_CLOUD_NLP_CREDENTIALS", None) is not None, BAD_CONFIG_MSG  # noqa
+assert environ.get("GOOGLE_CLOUD_NLP_MODEL_NAME", None) is not None, BAD_CONFIG_MSG  # noqa
+# fmt: on
+
+BAD_CONFIG_MSG_2 = "uh oh, config var is empty string, check docker"
+assert environ.get("DATABASE_HOSTNAME", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("DATABASE_PASSWORD", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("DATABASE_USERNAME", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("DATABASE_NAME", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("PYDRIVE_CLIENT_ID", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("PYDRIVE_CLIENT_SECRET", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("GOOGLE_DRIVE_CREDENTIALS", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("GOOGLE_DRIVE_FOLDER_ID", None) != "", BAD_CONFIG_MSG_2
+assert environ.get("GOOGLE_CLOUD_NLP_CREDENTIALS", None) != "", BAD_CONFIG_MSG_2  # noqa
+assert environ.get("GOOGLE_CLOUD_NLP_MODEL_NAME", None) != "", BAD_CONFIG_MSG_2
+
+# This dictionary should look exactly like the `SAMPLE_CONFIG_FILE`
+# it contains everything we could possibly neeed
+config = {
+    "PYDRIVE_CLIENT_ID": environ["PYDRIVE_CLIENT_ID"],
+    "PYDRIVE_CLIENT_SECRET": environ["PYDRIVE_CLIENT_SECRET"],
+    "GOOGLE_DRIVE_CREDENTIALS": environ["GOOGLE_DRIVE_CREDENTIALS"],
+    "GOOGLE_DRIVE_FOLDER_ID": environ["GOOGLE_DRIVE_FOLDER_ID"],
+    "GOOGLE_CLOUD_NLP_CREDENTIALS": environ["GOOGLE_CLOUD_NLP_CREDENTIALS"],
+    "GOOGLE_CLOUD_NLP_MODEL_NAME": environ["GOOGLE_CLOUD_NLP_MODEL_NAME"],
+    "mysql": {
+        "host": environ["DATABASE_HOSTNAME"],
+        # 3306 is the default port for mysql
+        "port": "3306",
+        "user": environ["DATABASE_USERNAME"],
+        "password": environ["DATABASE_PASSWORD"],
+        "database": environ["DATABASE_NAME"],
+        "sql_dir": "sql",
+        "create_file": "csai_nov_8_2019_create_script.min.sql",
+    },
+}
+
+
+# save the CONFIG_FILE
+with open(CONFIG_FILE, "w") as json_file:
+    json.dump(config, json_file)
+
+
+# TODO: consider ENV variable for pydrive's `save_credentials_file`
+#       in case the name changes due to conflict with other google credentials
+pydrive_yaml = {
+    "client_config_backend": "settings",
+    "client_config": {
+        "client_id": config[PYDRIVE_CLIENT_ID_KEY],
+        "client_secret": config[PYDRIVE_CLIENT_SECRET_KEY],
+    },
+    "save_credentials": True,
+    "save_credentials_backend": "file",
+    "save_credentials_file": "credentials.json",
+    "get_refresh_token": True,
+    "oauth_scope": [
+        "https://www.googleapis.com/auth/drive.file",
+        "https://www.googleapis.com/auth/drive.install",
+        "https://www.googleapis.com/auth/drive",
+        "https://www.googleapis.com/auth/drive.metadata",
+    ],
+}
+
+
+# save the PYDRIVE_FILE
+yaml_utils.dump_yaml(pydrive_yaml, PYDRIVE_FILE)
+
+
+# save the GOOGLE_DRIVE_FOLDER_ID_FILE
+with open(GOOGLE_DRIVE_FOLDER_ID_FILE, "w") as f:
+    f.write(config[GOOGLE_DRIVE_FOLDER_ID_KEY])
+
+# save the ssh certificates to the correct directory
+if environ.get("GIT_SSH_CERT") is not None:
+    with open(SSH_CERT_FILE, "w") as f:
+        f.write(environ["GIT_SSH_CERT"])
+        chmod(SSH_CERT_FILE, 0o0600)
+
+# save the GOOGLE_DRIVE_CREDENTIALS_FILE
+with open(GOOGLE_DRIVE_CREDENTIALS_FILE, "w") as credentials_json_file:
+    # load the credentials_json from the config dict which has everything
+    credentials_json = json.loads(config[GOOGLE_DRIVE_CREDENTIALS_KEY])
+    # dump data to credentials_json_file
+    json.dump(credentials_json, credentials_json_file)
+
+
+# save the GOOGLE_CLOUD_NLP_CREDENTIALS_FILE
+with open(GOOGLE_CLOUD_NLP_CREDENTIALS_FILE, "w") as auth_json_file:
+    # load the auth_json from the config dict which has everything
+    auth_json = json.loads(config[GOOGLE_CLOUD_NLP_CREDENTIALS_KEY])
+    # dump data to auth_json_file
+    json.dump(auth_json, auth_json_file)
diff --git a/sqlalchemy_demo.py b/sqlalchemy_demo.py
new file mode 100644
index 0000000..cc5f598
--- /dev/null
+++ b/sqlalchemy_demo.py
@@ -0,0 +1,114 @@
+# http://bytefish.de/blog/first_steps_with_sqlalchemy/
+# https://docs.sqlalchemy.org/en/13/
+# https://www.sqlalchemy.org/library.html
+# ^ if 1.3 is not current release
+
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy import create_engine
+from datetime import datetime, timedelta  # noqa
+from sqlalchemy import Table, Column, Integer, String, DateTime, ForeignKey  # noqa
+from sqlalchemy.orm import relationship, backref  # noqa
+from sqlalchemy.orm import sessionmaker
+from pprint import pprint as pp
+from sqlalchemy import inspect
+import json
+
+Base = declarative_base()
+
+
+class Tag(Base):
+    __tablename__ = "tags"
+    id = Column(Integer, primary_key=True)
+    name = Column(String(255), unique=True, nullable=False)
+
+    def __repr__(self):
+        return "<Tag (name={})>".format(self.name)
+
+
+# connection
+# https://docs.sqlalchemy.org/en/13/dialects/mysql.html#module-sqlalchemy.dialects.mysql.mysqlconnector
+# engine = create_engine('mysql+mysqlconnector://USERNAME:PASSWORD@HOST_NAME:3306/DATABASE_NAME')  # noqa
+config_file = "config.json"
+with open(config_file) as json_data_file:
+    config = json.load(json_data_file)
+
+if config.get("mysql", False):
+    mysql_config = config["mysql"]
+    RDBMS = "mysql"
+    PIP_PACKAGE = "mysqlconnector"
+    SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
+        RDBMS,
+        PIP_PACKAGE,
+        mysql_config["user"],
+        mysql_config["password"],
+        mysql_config["host"],
+        mysql_config["port"],
+        mysql_config["database"],
+    )
+    engine = create_engine(SQLALCHEMY_DATABASE_URI)
+
+    if engine is None:
+        print("failed to connect to MySQL")
+        exit(1)
+else:
+    print("bad config file")
+    exit(1)
+
+# create metadata
+Base.metadata.create_all(engine)
+
+# create session
+Session = sessionmaker(bind=engine)
+session = Session()
+
+# insert data
+tag_cool = Tag(name="cool")
+tag_car = Tag(name="car")
+tag_animal = Tag(name="animal")
+
+print("TAGS!!")
+print(tag_cool)
+print(tag_car)
+print(tag_animal)
+print()
+
+# notice the `_new` key in the dictionary
+session.add_all([tag_animal, tag_car, tag_cool])
+pp(session.__dict__)
+session.commit()
+
+# query data
+t1 = session.query(Tag).filter(Tag.name == "cool").first()
+
+print("T1!!")
+print(t1)
+print()
+
+# update entity
+t1.name = "cool-up"
+print("T1 again!! notice `cool-up`")
+print(t1)
+print()
+pp(session.__dict__)
+session.commit()
+
+print("T1 again after commit!!")
+print(t1)
+print()
+
+# delete
+# notice the `_deleted` key inside the dictionary
+session.delete(t1)
+pp(session.__dict__)
+session.commit()
+
+inspector = inspect(engine)
+print("table names", inspector.get_table_names())
+
+print("dropping table Tag")
+# https://www.pythonsheets.com/notes/python-sqlalchemy.html#drop-a-table
+# https://stackoverflow.com/questions/35918605/how-to-delete-a-table-in-sqlalchemy  # noqa
+print(Tag.__table__.drop(engine))
+print("dropped??")
+
+print("table names", inspector.get_table_names())
diff --git a/tasks.py b/tasks.py
new file mode 100644
index 0000000..b243bf4
--- /dev/null
+++ b/tasks.py
@@ -0,0 +1,259 @@
+"""
+Source: https://gist.github.com/mfekadu/ceaa65dd158bd45dcfadbbda17b83b03
+"""
+from invoke import task
+import os
+import webbrowser
+
+try:
+    from StringIO import StringIO  ## for Python 2
+except ImportError:
+    from io import StringIO  ## for Python 3
+
+
+"""
+HELPERS
+"""
+
+
+def go_to_website(URL, verbose=True):
+    """
+    given a URL, opens the browser
+    """
+    print("Opening...", URL) if verbose else None
+    webbrowser.open(URL)
+
+
+"""
+TASKS
+"""
+
+
+@task(aliases=("list", "lsit", "ist", "-list", "lis", "li", "slit", "slist"))
+def _dash_dash_list(c):
+    """
+    because i forget --list often and fixz my ttypos
+    """
+    try:  # because pyinvoke issue #704
+        c.run("invoke --list", hide="err")
+    except Exception as e:
+        print("uh oh, https://github.com/pyinvoke/invoke/issues/704")
+        print("but here, try this...\n")
+        cmd = 'cat tasks.py | grep def | grep "(\c"'  # \c avoid self-reference
+        print(f"$ {cmd}\n")
+        c.run(cmd)
+
+
+@task(aliases=("gh", "repo", "remote", "origin"))
+def github(c, username="calpoly-csai", repo="api"):
+    """
+    opens the GitHub website for this project in default browser
+    """
+    # optionally just hard code this
+    # TODO: look into how to read the .git/ folder to redirect based on that.
+    SITE = f"https://github.com/{username}/{repo}"
+    go_to_website(SITE)
+
+
+@task(aliases=("gsit", "gst", "sgit", "gis", "gsi", "giat", "gisr", "gsot", "gost"))
+def gist(
+    c, edit=False, username="mfekadu", gist_hash="ceaa65dd158bd45dcfadbbda17b83b03"
+):
+    """
+    opens the gist.GitHub.com website for this task.py source code
+    """
+    SITE = f"https://gist.github.com/{username}/{gist_hash}"
+    SITE = f"{SITE}/edit" if edit else SITE
+    go_to_website(SITE)
+
+
+@task(aliases=("ghd", "desktop"))
+def github_desktop(c):
+    """
+    opens the GitHub Desktop app <yes i am *that* lazy>. macOS only.
+    """
+    c.run("open -a 'GitHub Desktop'")
+
+
+@task(aliases=("invoke", "wtf", "huh", "what", "umm", "uhh", "idk"))
+def go_to_invoke_docs(c):
+    """
+    opens the docs for the PyInvoke project in default browser
+    """
+    SITE = "https://www.pyinvoke.org"
+    go_to_website(SITE)
+
+
+@task(help={"name": "Name of the person to say hi to."})
+def hi(c, name, help=False):
+    """
+    Say hi to someone.
+    """
+    print("Hi {}!".format(name))
+
+
+@task(aliases=("format", "black", "lint"))
+def black_auto_format(c, verbose=True):
+    """
+    Make the code look nice.
+    """
+    print("Formatting!")
+    cwd = os.getcwd()
+
+    # move up to the directory that contains ".git"
+    # which often is the root of a repository
+    print("current directory: ", cwd)
+    while cwd != "/" and ".git" not in os.listdir(cwd):
+        if ".git" not in os.listdir(cwd):
+            os.chdir("..")
+            cwd = os.getcwd()
+            print("current directory: ", cwd)
+        else:
+            break
+
+    cmd = "black ."
+    print("running command: {}".format(cmd))
+    c.run("black .")
+
+
+@task(aliases=("sc", "scala", "hi-scala", "hiscala", "helloscala"))
+def hello_scala(c, verbose=True, name="hello_scala"):
+    """
+    create a hello_world scala file
+    """
+    filename = f"{name}.sc"
+    print(f"Creating {filename}")
+    file_content = """import scala.io._
+object HelloApp {
+    def main(args: Array[String]): Unit = {
+        val coder = "Python"
+        val num = 21
+        println(s"Hello Scala from ${coder}!");
+        println(s"${num + num} is a cool num");
+    }
+}
+"""
+    with open(filename, "w") as f:
+        f.write(file_content)
+
+    cmd = f"cat {filename}"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+    cmd = f"scala {filename}"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+
+@task(aliases=("copy", "pbcopy"))
+def copy_tasks_py_to_clipboard(c):
+    """
+    """
+    cmd = "cat tasks.py | pbcopy"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+
+@task(aliases=("ssh",))
+def copy_ssh(c):
+    """
+    """
+    # https://askubuntu.com/a/811236
+    cmd = "ls -p ~/.ssh/ | grep -v /"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+    choice = input("\n\nWhich one? (enter the name): ")
+    print("\n\n")
+
+    cmd = f"cat ~/.ssh/{choice} | pbcopy"
+    print(f"$ {cmd}\n")
+    c.run(cmd)
+
+
+@task
+def docker(c, username=None, app_name="nimbus"):
+    """
+    Locally, docker build && docker run
+    """
+    ENV_KEY = "TASKS_DOCKER_USERNAME"
+    if username is not None:
+        print("hey run this to make life easier...")
+        print(f"export {ENV_KEY}={username}")
+    else:
+        try:
+            username = os.environ[ENV_KEY]
+        except Exception as e:
+            username = input("docker username? ")
+            print("hey run this to make life easier...")
+            print(f"export {ENV_KEY}={username}")
+
+    print("make first sure to run...")
+    print("source .export_env_vars")
+    print("\n\n")
+
+    try:
+        DATABASE_HOSTNAME = os.environ["DATABASE_HOSTNAME"]
+        DATABASE_PASSWORD = os.environ["DATABASE_PASSWORD"]
+        DATABASE_USERNAME = os.environ["DATABASE_USERNAME"]
+        DATABASE_NAME = os.environ["DATABASE_NAME"]
+        PYDRIVE_CLIENT_ID = os.environ["PYDRIVE_CLIENT_ID"]
+        PYDRIVE_CLIENT_SECRET = os.environ["PYDRIVE_CLIENT_SECRET"]
+        GOOGLE_DRIVE_CREDENTIALS = os.environ["GOOGLE_DRIVE_CREDENTIALS"]
+        GOOGLE_DRIVE_FOLDER_ID = os.environ["GOOGLE_DRIVE_FOLDER_ID"]
+        GOOGLE_CLOUD_NLP_CREDENTIALS = os.environ["GOOGLE_CLOUD_NLP_CREDENTIALS"]
+        GOOGLE_CLOUD_NLP_MODEL_NAME = os.environ["GOOGLE_CLOUD_NLP_MODEL_NAME"]
+    except Exception:
+        print("make first sure to run...")
+        print("source .export_env_vars")
+        print("\n\n")
+        exit()
+
+    # automatically pass in local environment variables into the docker thing
+    cmd = "docker build"
+    cmd += " --build-arg DATABASE_HOSTNAME"
+    cmd += " --build-arg DATABASE_PASSWORD"
+    cmd += " --build-arg DATABASE_USERNAME"
+    cmd += " --build-arg DATABASE_NAME"
+    cmd += " --build-arg PYDRIVE_CLIENT_ID"
+    cmd += " --build-arg PYDRIVE_CLIENT_SECRET"
+    cmd += " --build-arg GOOGLE_DRIVE_CREDENTIALS"
+    cmd += " --build-arg GOOGLE_DRIVE_FOLDER_ID"
+    cmd += " --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS"
+    cmd += " --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME"
+    cmd += f' -t "{username}/{app_name}" .'
+
+    print(f"$ {cmd}\n")
+    c.run(cmd, pty=True)  # run the docker build
+
+    # http://www.pyinvoke.org/faq.html#running-local-shell-commands-run
+    # --rm will make sure to remove the container on exit of shell
+    # otherwise docker containers will eat up your storage space
+    cmd = f"docker run -it --rm -p 8080:8080  {username}/{app_name}"
+    print(f"$ {cmd}\n")
+    c.run(cmd, pty=True)  # run the docker run
+
+
+@task(aliases=("ds", "dash", "dsh"))
+def docker_shell(c, image_name=None):
+    """
+    Run docker within an interactive shell
+    https://stackoverflow.com/a/44769468
+    """
+    ENV_KEY = "TASKS_DOCKER_IMAGE_NAME"
+    if image_name is not None:
+        print("hey run this to make life easier...")
+        print(f"export {ENV_KEY}={image_name}")
+    else:
+        try:
+            image_name = os.environ[ENV_KEY]
+        except Exception as e:
+            image_name = input("docker image_name? ")
+            print("hey run this to make life easier...")
+            print(f"export {ENV_KEY}={image_name}")
+
+    # --rm will make sure to remove the container on exit of shell
+    # otherwise docker containers will eat up your storage space
+    cmd = f"docker run -it --rm {image_name} sh"
+    print(f"$ {cmd}\n")
+    c.run(cmd, pty=True)  # run the docker interactive shell
diff --git a/test.py b/test.py
new file mode 100644
index 0000000..2c8d43e
--- /dev/null
+++ b/test.py
@@ -0,0 +1,12 @@
+import requests
+
+url = "https://nimbus.api.calpolycsai.com/ask"
+
+payload = "{\n    \"question\": \"What is Dr. Lupo's email?\"\n}"
+headers = {
+  'Content-Type': 'application/json',
+  'Content-Type': 'application/json'
+}
+response = requests.request("POST", url, headers=headers, data = payload)
+print(response.text.encode('utf8'))
+
diff --git a/tests/MockEntity.py b/tests/MockEntity.py
new file mode 100644
index 0000000..54204cb
--- /dev/null
+++ b/tests/MockEntity.py
@@ -0,0 +1,18 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class MockEntity(Base):
+    __tablename__ = "Test"
+    entity_id = Column(Integer, primary_key=True)
+    value_one = Column(String(64))
+    value_two = Column(String(64))
+    value_three = Column(String(64))
+    is_view = False
+
+    def __repr__(self):
+        return "<MockEntity (value_one={}, value_two={}, value_three={})>".format(
+            self.value_one, self.value_two, self.value_three
+        )
diff --git a/tests/MockViewEntity.py b/tests/MockViewEntity.py
new file mode 100644
index 0000000..a038af8
--- /dev/null
+++ b/tests/MockViewEntity.py
@@ -0,0 +1,18 @@
+from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class MockViewEntity(Base):
+    __tablename__ = "Test"
+    entity_id = Column(Integer, primary_key=True)
+    value_one = Column(String(64))
+    value_two = Column(String(64))
+    value_three = Column(String(64))
+    is_view = True
+
+    def __repr__(self):
+        return "<MockViewEntity (value_one={}, value_two={}, value_three={})>".format(
+            self.value_one, self.value_two, self.value_three
+        )
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/hypothesis_example.py b/tests/hypothesis_example.py
new file mode 100755
index 0000000..151ad0f
--- /dev/null
+++ b/tests/hypothesis_example.py
@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+"""
+Read the docs...
+
+https://hypothesis.readthedocs.io/en/latest/quickstart.html
+"""
+
+from typing import List
+from hypothesis import given
+from hypothesis.strategies import lists, text
+
+
+def concat_with_space(lst: List[str]) -> str:
+    """
+    Returns a single string from concatenating a given list of strings.
+
+    Example:
+        >>> concatenate_strings_with_space(['a','b','c'])
+        >>> 'a b c'
+    """
+    s = ""
+    for x in lst:
+        s += x + " "
+    return s
+
+
+@given(
+    lists(
+        text(
+            alphabet="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ", min_size=0
+        )
+    )
+)
+def test_concat_with_space_has_identity_property_when_split_on_space(s):
+    p = concat_with_space(s).split(" ")
+    p.pop()  # because the last " " leaves an empty in list [... ,'']
+    assert p == s
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
new file mode 100644
index 0000000..4d8e6f2
--- /dev/null
+++ b/tests/test_database_wrapper.py
@@ -0,0 +1,309 @@
+import json
+import os
+import pytest
+
+from database_wrapper import (
+    NimbusMySQLAlchemy,
+    BadDictionaryKeyError,
+    BadDictionaryValueError,
+    InvalidOperationOnView,
+    NimbusDatabaseError,
+    UnsupportedDatabaseError,
+    BadConfigFileError,
+)
+from mock import patch, Mock
+from .MockEntity import MockEntity
+from .MockViewEntity import MockViewEntity
+
+
+ENTITY_TYPES = [
+    "AudioSampleMetaData",
+    "Calendars",
+    "Courses",
+    "Locations",
+    "QuestionAnswerPair",
+    "Profs",
+    "Clubs",
+    "Sections",
+]
+
+MOCK_ENTITY_DATA_DICT = {
+    "value_one": "test1",
+    "value_two": "test2",
+    "value_three": "test3",
+}
+
+TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT = {
+    "isWakeWord": True,
+    "firstName": "jj",
+    "lastName": "doe",
+    "gender": "f",
+    "noiseLevel": "q",
+    "location": "here",
+    "tone": "serious-but-not-really",
+    "timestamp": 1577077883,
+    "username": "guest",
+    "filename": "ww_q_serious-fake_m_doe_jj_1577077883_guest.wav",
+}
+
+TEST_CONFIG_FILENAME = "testConfig.json"
+TEST_CONFIG_DICT = {
+    "mysql": {
+        "host": "testHost",
+        "port": "testPort",
+        "user": "testUser",
+        "password": "testPassword",
+        "database": "testDatabase",
+    },
+}
+
+RDBMS = "mysql"
+PIP_PACKAGE = "mysqlconnector"
+SQLALCHEMY_DATABASE_URI = "{}+{}://{}:{}@{}:{}/{}".format(
+    RDBMS,
+    PIP_PACKAGE,
+    TEST_CONFIG_DICT["mysql"]["user"],
+    TEST_CONFIG_DICT["mysql"]["password"],
+    TEST_CONFIG_DICT["mysql"]["host"],
+    TEST_CONFIG_DICT["mysql"]["port"],
+    TEST_CONFIG_DICT["mysql"]["database"],
+)
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    test_db.validate_input_keys(MOCK_ENTITY_DATA_DICT, MOCK_ENTITY_DATA_DICT.keys())
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys_no_input(mock_create_engine):
+    test_db = NimbusMySQLAlchemy
+    with pytest.raises(BadDictionaryKeyError):
+        test_db.validate_input_keys({}, [])
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys_extra_keys(mock_create_engine):
+    test_db = NimbusMySQLAlchemy
+    extra_key_dict = dict(MOCK_ENTITY_DATA_DICT)
+    extra_key_dict["value_extra"] = "test4"
+    with pytest.raises(BadDictionaryKeyError):
+        test_db.validate_input_keys(extra_key_dict, MOCK_ENTITY_DATA_DICT.keys())
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_validate_input_keys_missing_keys(mock_create_engine):
+    test_db = NimbusMySQLAlchemy
+    missing_key_dict = {"value_one": "test1"}
+    with pytest.raises(BadDictionaryKeyError):
+        test_db.validate_input_keys(missing_key_dict, MOCK_ENTITY_DATA_DICT.keys())
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_create_all_tables(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+
+    for entity_type in ENTITY_TYPES:
+        mock_entity = Mock()
+        mock_entity.__tablename__ = entity_type
+        mock_entity.__table__ = Mock()
+        mock_entity.__table__.create.return_value = None
+        setattr(test_db, entity_type, mock_entity)
+
+    test_db._create_all_tables()
+
+    # Verify that each Entity had .create() called on it once.
+    for entity_type in ENTITY_TYPES:
+        getattr(test_db, entity_type).__table__.create.assert_called_once()
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_create_all_tables_already_exists(mock_create_engine):
+    mock_inspector = Mock()
+    mock_inspector.get_table_names.return_value = ENTITY_TYPES
+
+    test_db = NimbusMySQLAlchemy()
+    test_db.inspector = mock_inspector
+
+    for entity_type in ENTITY_TYPES:
+        mock_entity = Mock()
+        mock_entity.__tablename__ = entity_type
+        mock_entity.__table__ = Mock()
+        setattr(test_db, entity_type, mock_entity)
+
+    test_db._create_all_tables()
+
+    # Verify that each Entity did not have .create() called on it
+    for entity_type in ENTITY_TYPES:
+        assert not getattr(test_db, entity_type).__table__.create.called
+
+
+@patch.object(
+    NimbusMySQLAlchemy,
+    "validate_and_format_entity_data",
+    return_value=MOCK_ENTITY_DATA_DICT,
+)
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_insert_entity(mock_create_engine, mock_validate):
+    # Setup mocks and test_db instance
+    test_db = NimbusMySQLAlchemy()
+    test_db.session = Mock()
+
+    # Insert entity and assert that add/commit were called
+    test_db.insert_entity(MockEntity, MOCK_ENTITY_DATA_DICT)
+    test_db.session.add.assert_called_once()
+    test_db.session.commit.assert_called_once()
+
+    # Assert that the entity inserted was populated with the right fields
+    entity = test_db.session.add.call_args.args[0]
+    for field in list(MOCK_ENTITY_DATA_DICT.keys()):
+        assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
+
+
+@patch.object(
+    NimbusMySQLAlchemy,
+    "validate_and_format_entity_data",
+    return_value=MOCK_ENTITY_DATA_DICT,
+)
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_update_entity_no_match(mock_create_engine, mock_validate):
+    # Setup mocks and test_db instance
+    mock_session = Mock()
+    mock_query = Mock()
+
+    mock_session.query.return_value = mock_query
+    mock_query.filter.return_value = mock_query
+    mock_query.first.return_value = None
+
+    test_db = NimbusMySQLAlchemy()
+    test_db.session = mock_session
+
+    # Insert entity and assert that add/commit were called
+    test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, ["value_one"])
+    test_db.session.add.assert_called_once()
+    test_db.session.commit.assert_called_once()
+
+    # Assert that the entity inserted was populated with the right fields
+    entity = test_db.session.add.call_args.args[0]
+    for field in list(MOCK_ENTITY_DATA_DICT.keys()):
+        assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
+
+
+@patch.object(
+    NimbusMySQLAlchemy,
+    "validate_and_format_entity_data",
+    return_value=MOCK_ENTITY_DATA_DICT,
+)
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_update_entity_match(mock_create_engine, mock_validate):
+    # Setup mocks and test_db instance
+    mock_session = Mock()
+    mock_query = Mock()
+
+    mock_session.query.return_value = mock_query
+    mock_query.filter.return_value = mock_query
+    mock_query.first.return_value = MockEntity
+
+    test_db = NimbusMySQLAlchemy()
+    test_db.session = mock_session
+
+    # Insert entity and assert that add/commit were called
+    test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, ["value_one"])
+    test_db.session.add.assert_called_once()
+    test_db.session.commit.assert_called_once()
+
+    # Assert that the entity inserted was populated with the right fields
+    entity = test_db.session.add.call_args.args[0]
+    for field in list(MOCK_ENTITY_DATA_DICT.keys()):
+        assert getattr(entity, field) is MOCK_ENTITY_DATA_DICT[field]
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_update_entity_no_filter_fields_error(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    with pytest.raises(RuntimeError, match="filter"):
+        test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, [])
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_invalid_entity_type(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    with pytest.raises(KeyError):
+        test_db.insert_entity(MockEntity, MOCK_ENTITY_DATA_DICT)
+    with pytest.raises(KeyError):
+        test_db.update_entity(MockEntity, MOCK_ENTITY_DATA_DICT, ["test"])
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_format_audio_sample_meta_data_dict(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    test_db.format_audio_sample_meta_data_dict(
+        dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT)
+    )
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_format_audio_sample_meta_data_dict_bad_input(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+    invalid_is_wake_word = dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT)
+    invalid_is_wake_word["isWakeWord"] = "test"
+    invalid_noise_level = dict(TEST_AUDIO_SAMPLE_META_DATA_DATA_DICT)
+    invalid_noise_level["noiseLevel"] = "test"
+
+    with pytest.raises(BadDictionaryValueError):
+        test_db.format_audio_sample_meta_data_dict(invalid_is_wake_word)
+    with pytest.raises(BadDictionaryValueError):
+        test_db.format_audio_sample_meta_data_dict(invalid_noise_level)
+
+
+@patch("database_wrapper.create_engine")
+def test_create_engine(mock_create_engine):
+    mock_engine = Mock()
+    mock_create_engine.return_value = mock_engine
+
+    with open("testConfig.json", "w+") as test_config:
+        json.dump(TEST_CONFIG_DICT, test_config)
+
+    test_db = NimbusMySQLAlchemy(TEST_CONFIG_FILENAME)
+    mock_create_engine.assert_called_once_with(SQLALCHEMY_DATABASE_URI)
+    assert test_db.engine is mock_engine
+
+    os.remove(TEST_CONFIG_FILENAME)
+
+
+@patch("database_wrapper.create_engine", return_value=None)
+def test_create_engine_bad_config(mock_create_engine):
+    with open(TEST_CONFIG_FILENAME, "w+") as test_config:
+        json.dump(TEST_CONFIG_DICT, test_config)
+
+    with pytest.raises(BadConfigFileError, match="failed to connect"):
+        test_db = NimbusMySQLAlchemy(TEST_CONFIG_FILENAME)
+
+    os.remove(TEST_CONFIG_FILENAME)
+
+
+def test_create_engine_missing_field():
+    with open(TEST_CONFIG_FILENAME, "w+") as test_config:
+        json.dump({}, test_config)
+
+    with pytest.raises(BadConfigFileError, match="missing mysql field"):
+        test_db = NimbusMySQLAlchemy(TEST_CONFIG_FILENAME)
+
+    os.remove(TEST_CONFIG_FILENAME)
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_insert_entity_view_error(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+
+    with pytest.raises(InvalidOperationOnView):
+        test_db.insert_entity(MockViewEntity, {});
+
+
+@patch.object(NimbusMySQLAlchemy, "_create_engine")
+def test_update_entity_view_error(mock_create_engine):
+    test_db = NimbusMySQLAlchemy()
+
+    with pytest.raises(InvalidOperationOnView):
+        test_db.update_entity(MockViewEntity, {}, []);
diff --git a/tests/test_flask_api.py b/tests/test_flask_api.py
new file mode 100644
index 0000000..74586f6
--- /dev/null
+++ b/tests/test_flask_api.py
@@ -0,0 +1,75 @@
+import json
+import pytest
+
+import flask_api
+from database_wrapper import (NimbusMySQLAlchemy, BadDictionaryKeyError, BadDictionaryValueError,
+                              NimbusDatabaseError, UnsupportedDatabaseError, BadConfigFileError)
+from mock import patch, Mock
+from .MockEntity import MockEntity
+
+
+BAD_REQUEST = 400
+SUCCESS = 200
+SERVER_ERROR = 500
+TOKEN = "test_token"
+
+
+@pytest.fixture
+def client():
+    flask_api.app.config['TESTING'] = True
+
+    with flask_api.app.test_client() as client:
+        yield client
+
+
+def test_hello(client):
+    resp = client.get('/')
+    assert resp.json == {"name": "hello {}".format(flask_api.app)}
+
+    test_data_dict = {"hello": "world"}
+    resp = client.post('/', json=test_data_dict)
+    assert resp.json == {"you sent": test_data_dict}
+
+
+@patch("flask_api.Nimbus")
+@patch("flask_api.NimbusMySQLAlchemy")
+def test_ask_request_not_json(mock_db, mock_nimbus, client):
+    mock_db.return_value = None
+    mock_nimbus.return_value = None
+
+    resp = client.post('/ask', data="dummy data")
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == b'request must be JSON'
+
+
+@patch("flask_api.Nimbus")
+@patch("flask_api.NimbusMySQLAlchemy")
+def test_ask_no_question(mock_db, mock_nimbus, client):
+    mock_db.return_value = None
+    mock_nimbus.return_value = None
+
+    resp = client.post('/ask', json={})
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == b'request body should include the question'
+
+
+@patch("flask_api.generate_session_token", return_value=TOKEN)
+@patch("flask_api.Nimbus")
+@patch("flask_api.NimbusMySQLAlchemy")
+def test_ask_question(mock_db, mock_nimbus, mock_generate_session_token, client):
+    mock_db.return_value = None
+    mock_nimbus_client = Mock()
+    mock_nimbus_client.answer_question.return_value = "test_answer"
+    mock_nimbus.return_value = mock_nimbus_client
+
+    # Verify that calling ask without a token will return a response with a new token
+    resp = client.post('/ask', json={"question": "test_question"})
+    assert resp.status_code == SUCCESS
+    assert resp.json == {"answer": "test_answer", "session": TOKEN}
+
+    # Verify that calling ask with a token will return a response with the same token
+    dummy_token = "dummy_token"
+    resp = client.post('/ask', json={"question": "test_question", "session": dummy_token})
+    assert resp.status_code == SUCCESS
+    assert resp.json == {"answer": "test_answer", "session": dummy_token}
+    
\ No newline at end of file
diff --git a/type_check.sh b/type_check.sh
new file mode 100755
index 0000000..7b095c0
--- /dev/null
+++ b/type_check.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+# https://pyre-check.org/docs/guided-tour.html
+# TODO
+pyre --source-directory {{dirname}} check
diff --git a/utilities/__init__.py b/utilities/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/utilities/cases.py b/utilities/cases.py
new file mode 100644
index 0000000..5be3375
--- /dev/null
+++ b/utilities/cases.py
@@ -0,0 +1,16 @@
+object1 = "myNumAndStringApplesAreCool42"
+object = []
+alreadyNum = True
+for char in object1:  # for each character in the object
+    if char.isupper():  # if the character is uppercase
+        ascii = ord(char)
+        ascii += 32
+        object.append("_" + chr(ascii))
+    elif char in "0123456789" and alreadyNum == True:
+        alreadyNum = False
+        object.append("_" + str(char))
+    elif char in "0123456789" and alreadyNum == False:
+        object.append(char)
+    else:
+        object.append(char)
+print("".join(object))  # join the list
diff --git a/utilities/yaml_utils.py b/utilities/yaml_utils.py
new file mode 100644
index 0000000..a23b595
--- /dev/null
+++ b/utilities/yaml_utils.py
@@ -0,0 +1,39 @@
+import yaml
+
+
+def load_yaml(filename: str) -> dict:
+    """
+    Returns the dictionary representation of a given yaml filename
+
+    Args:
+        filename: a "filename.yml" string
+
+    Returns:
+        dictionary that represents the yaml file
+
+    Raises:
+        yaml.YAMLError : if something bad happened
+    """
+    with open(filename, "r") as f:
+        try:
+            return yaml.safe_load(f)
+        except yaml.YAMLError as e:
+            raise e
+
+
+def dump_yaml(data: dict, filename: str) -> None:
+    """
+    Saves the given data into the given yaml filename
+
+    Args:
+        filename: a "filename.yml" string
+        data; yaml data
+
+    Raises:
+        yaml.YAMLError : if something bad happened
+    """
+    with open(filename, "w") as f:
+        try:
+            return yaml.safe_dump(data, f)
+        except yaml.YAMLError as e:
+            raise e

From 54b4b7ff73699a9f756e5c4ae76cd69ca1aa8325 Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 10 May 2020 14:42:25 -0700
Subject: [PATCH 188/272] Flask app new wakeword data endpoint tests

---
 flask_api.py            |   2 +-
 tests/test_flask_api.py | 100 ++++++++++++++++++++++++++++++++--------
 2 files changed, 81 insertions(+), 21 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index b558d04..e1bb967 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -129,7 +129,7 @@ def save_a_recording():
     if issues:
         try:
             data = validator.fix(data, issues)
-        except FormatterValidatorError as err:
+        except WakeWordValidatorError as err:
             return str(err), BAD_REQUEST
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
diff --git a/tests/test_flask_api.py b/tests/test_flask_api.py
index 74586f6..10ed271 100644
--- a/tests/test_flask_api.py
+++ b/tests/test_flask_api.py
@@ -4,7 +4,9 @@
 import flask_api
 from database_wrapper import (NimbusMySQLAlchemy, BadDictionaryKeyError, BadDictionaryValueError,
                               NimbusDatabaseError, UnsupportedDatabaseError, BadConfigFileError)
+from io import BytesIO
 from mock import patch, Mock
+from modules.validators import WakeWordValidatorError
 from .MockEntity import MockEntity
 
 
@@ -12,6 +14,7 @@
 SUCCESS = 200
 SERVER_ERROR = 500
 TOKEN = "test_token"
+TEST_ERROR = "test error string"
 
 
 @pytest.fixture
@@ -31,45 +34,102 @@ def test_hello(client):
     assert resp.json == {"you sent": test_data_dict}
 
 
-@patch("flask_api.Nimbus")
-@patch("flask_api.NimbusMySQLAlchemy")
+@patch("flask_api.nimbus")
+@patch("flask_api.db")
 def test_ask_request_not_json(mock_db, mock_nimbus, client):
-    mock_db.return_value = None
-    mock_nimbus.return_value = None
-
     resp = client.post('/ask', data="dummy data")
     assert resp.status_code == BAD_REQUEST
     assert resp.data == b'request must be JSON'
 
 
-@patch("flask_api.Nimbus")
-@patch("flask_api.NimbusMySQLAlchemy")
+@patch("flask_api.nimbus")
+@patch("flask_api.db")
 def test_ask_no_question(mock_db, mock_nimbus, client):
-    mock_db.return_value = None
-    mock_nimbus.return_value = None
-
     resp = client.post('/ask', json={})
     assert resp.status_code == BAD_REQUEST
     assert resp.data == b'request body should include the question'
 
 
 @patch("flask_api.generate_session_token", return_value=TOKEN)
-@patch("flask_api.Nimbus")
-@patch("flask_api.NimbusMySQLAlchemy")
+@patch("flask_api.nimbus")
+@patch("flask_api.db")
 def test_ask_question(mock_db, mock_nimbus, mock_generate_session_token, client):
-    mock_db.return_value = None
-    mock_nimbus_client = Mock()
-    mock_nimbus_client.answer_question.return_value = "test_answer"
-    mock_nimbus.return_value = mock_nimbus_client
+    test_answer = "test_answer"
+    dummy_token = "dummy_token"
+
+    mock_nimbus.answer_question.return_value = test_answer
 
     # Verify that calling ask without a token will return a response with a new token
     resp = client.post('/ask', json={"question": "test_question"})
     assert resp.status_code == SUCCESS
-    assert resp.json == {"answer": "test_answer", "session": TOKEN}
+    assert resp.json == {"answer": test_answer, "session": TOKEN}
 
     # Verify that calling ask with a token will return a response with the same token
-    dummy_token = "dummy_token"
     resp = client.post('/ask', json={"question": "test_question", "session": dummy_token})
     assert resp.status_code == SUCCESS
-    assert resp.json == {"answer": "test_answer", "session": dummy_token}
-    
\ No newline at end of file
+    assert resp.json == {"answer": test_answer, "session": dummy_token}
+
+
+@patch("flask_api.save_audiofile")
+@patch("flask_api.create_filename", return_value="test_filename")
+@patch("flask_api.WakeWordValidator")
+@patch("flask_api.WakeWordFormatter")
+@patch("flask_api.db")
+def test_new_data_wakeword(mock_db, mock_formatter, mock_validator, mock_create_filename, mock_save_audiofile, client):
+    mock_formatter_instance = Mock()
+    mock_formatter_instance.format.return_value = {"filename": "dummy"}
+    mock_formatter.return_value = mock_formatter_instance
+
+    resp = client.post(
+        '/new_data/wakeword',
+        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
+
+    # Verify that db client was told to save data, and that the newly generated filename was returned
+    mock_db.save_audio_sample_meta_data.assert_called_once()
+    assert resp.data == b"test_filename"
+
+
+@patch("flask_api.WakeWordValidator")
+def test_new_data_wakeword_validator_issues(mock_validator, client):
+    mock_validator_instance = Mock()
+    mock_validator_instance.fix.side_effect = WakeWordValidatorError(TEST_ERROR)
+    mock_validator.return_value = mock_validator_instance
+
+    # Verify that the client will catch and throw an error if the validator fails
+    resp = client.post('/new_data/wakeword', data={"dummy1": "dummy2"})
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == TEST_ERROR.encode()
+
+
+@patch("flask_api.save_audiofile")
+@patch("flask_api.create_filename", return_value="test_filename")
+@patch("flask_api.WakeWordValidator")
+@patch("flask_api.WakeWordFormatter")
+@patch("flask_api.db")
+def test_new_data_wakeword_db_error(mock_db, mock_formatter, mock_validator, mock_create_filename,
+                                    mock_save_audiofile, client):
+    mock_formatter_instance = Mock()
+    mock_formatter_instance.format.return_value = {"filename": "dummy"}
+    mock_formatter.return_value = mock_formatter_instance
+
+    # Verify that the client will catch and throw an error for specific exceptions
+    mock_db.save_audio_sample_meta_data.side_effect = BadDictionaryKeyError(TEST_ERROR)
+    resp = client.post(
+        '/new_data/wakeword',
+        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == TEST_ERROR.encode()
+
+    mock_db.save_audio_sample_meta_data.side_effect = BadDictionaryValueError(TEST_ERROR)
+    resp = client.post(
+        '/new_data/wakeword',
+        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == TEST_ERROR.encode()
+
+    mock_db.save_audio_sample_meta_data.side_effect = NimbusDatabaseError(TEST_ERROR)
+    resp = client.post(
+        '/new_data/wakeword',
+        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
+    assert resp.status_code == BAD_REQUEST
+    assert resp.data == TEST_ERROR.encode()

From be01d52acb429b516f2a0773d335db46b13b31d3 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 10 May 2020 15:17:02 -0700
Subject: [PATCH 189/272] Added gce deploy script.

---
 gce_deploy.sh        | 27 +++++++++++++++++++++++++++
 setup_letsencrypt.sh |  2 ++
 2 files changed, 29 insertions(+)
 create mode 100644 gce_deploy.sh

diff --git a/gce_deploy.sh b/gce_deploy.sh
new file mode 100644
index 0000000..da13b31
--- /dev/null
+++ b/gce_deploy.sh
@@ -0,0 +1,27 @@
+#!/bin/bash
+
+export GITHUB_SHA=`git rev-parse HEAD`
+
+docker build -t gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA \
+          --build-arg GITHUB_SHA="$GITHUB_SHA" \
+          --build-arg GITHUB_REF="$GITHUB_REF" \
+          --build-arg DATABASE_HOSTNAME \
+          --build-arg DATABASE_PASSWORD \
+          --build-arg DATABASE_USERNAME \
+          --build-arg DATABASE_NAME \
+          --build-arg PYDRIVE_CLIENT_ID \
+          --build-arg PYDRIVE_CLIENT_SECRET \
+          --build-arg GOOGLE_DRIVE_CREDENTIALS \
+          --build-arg GOOGLE_DRIVE_FOLDER_ID \
+          --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS \
+          --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME \
+          --build-arg GIT_SSH_CERT \
+          --build-arg PORT .
+
+docker push gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA
+
+# sleep for 60 seconds to allow gce to restart after deploy
+gcloud compute instances update-container $GCE_INSTANCE \
+    --zone $GCE_INSTANCE_ZONE \
+    --container-image=gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA \
+    --project=$GCE_PROJECT && sleep 60 && gcloud compute ssh $GCE_INSTANCE --zone=$GCE_INSTANCE_ZONE --project=$GCE_PROJECT --command='docker image prune -a -f'
diff --git a/setup_letsencrypt.sh b/setup_letsencrypt.sh
index 125bf21..44099c3 100755
--- a/setup_letsencrypt.sh
+++ b/setup_letsencrypt.sh
@@ -7,6 +7,8 @@ mkdir ~/.ssh
 ssh-keyscan -H github.com >> ~/.ssh/known_hosts
 ssh-add /nimbus/id_rsa
 git clone git@github.com:CalPolyCSAI/api-certificates.git
+git config --global user.email "cpcsai.nimbus@gmail.com"
+git config --global user.name "GCE_GIT_BOT"
 cd /api-certificates
 tar xvf letsencrypt_backup.tar -C /
 crontab /nimbus/letsencrypt-backup-tar.cron

From ac5802aaa90d3d156b2f19db183714ccecf9dfba Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 10 May 2020 15:24:17 -0700
Subject: [PATCH 190/272] Fix typo in dockerfile, update config and git commit
 message.

---
 Dockerfile         | 1 -
 cert-update.sh     | 3 ++-
 gunicorn_config.py | 5 ++++-
 3 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4fabcf1..cfb1bbb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -25,7 +25,6 @@ ADD requirements.txt /nimbus/requirements.txt
 
 # install the requirements in the container
 RUN pip3 install -r /nimbus/requirements.txt \
-
   && chmod 777 /usr/lib/python3/dist-packages/*
 
 # verify permissions set
diff --git a/cert-update.sh b/cert-update.sh
index 4362546..f90b490 100755
--- a/cert-update.sh
+++ b/cert-update.sh
@@ -5,5 +5,6 @@ cd /api-certificates
 git pull
 tar cvf /api-certificates/letsencrypt_backup.tar /etc/letsencrypt
 git add .
-git commit -m "automated upload from google cloud"
+# `date` will print the date like this: Sun May 10 15:22:23 PDT 2020
+git commit -m "automated upload from google cloud on `date`"
 git push
\ No newline at end of file
diff --git a/gunicorn_config.py b/gunicorn_config.py
index b954f46..ccc315e 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -6,7 +6,10 @@
 
 # Gunicorn config
 bind = ":" + str(PORT)
-workers = multiprocessing.cpu_count() * 2 + 1
+#workers = multiprocessing.cpu_count() * 2 + 1
+# The above is considered bad practice - cpu_count() can be unreliable.
+# We have 1 core, so 1 * 2 + 1 = 3
+workers = 3
 timeout = 90
 keyfile = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/privkey.pem"
 certfile = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/cert.pem"

From 0a6c5503ba9d59336857cb328e0d11d4d775cbf0 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Thu, 14 May 2020 21:02:55 -0700
Subject: [PATCH 191/272] AudioMetadata lives again!!!!

---
 Entity/AudioSampleMetaData.py | 10 +++++++---
 database_wrapper.py           |  8 ++++++--
 flask_api.py                  | 32 ++++++++++++++++++++++----------
 modules/validators.py         |  5 +++++
 4 files changed, 40 insertions(+), 15 deletions(-)

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
index 780afa8..2cf281e 100644
--- a/Entity/AudioSampleMetaData.py
+++ b/Entity/AudioSampleMetaData.py
@@ -26,14 +26,15 @@ class AudioSampleMetaData(Base):
     tone = Column(String(255))
     timestamp = Column(Integer)
     username = Column(String(255))
-    # Text chosen because filename is standarized concatenation of above fields
-    filename = Column(Text)
+    emphasis = Column(String(255))
+    script = Column(String(255))
+    audio_file_id = Column(String(1024))
     is_view = False
 
     def __repr__(self):
         string = "<AudioSampleMetaData ( id={}, is_wake_word={}, "
         string += "first_name={}, last_name={}, gender={}, noise_level={}, "
-        string += "location={}, tone={}, timestamp={}, username={} )>"
+        string += "location={}, tone={}, timestamp={}, username={}, emphasis={}, script={}, audio_file_id={} )>"
         return string.format(
             self.id,
             self.is_wake_word,
@@ -45,4 +46,7 @@ def __repr__(self):
             self.tone,
             self.timestamp,
             self.username,
+            self.emphasis,
+            self.script,
+            self.audio_file_id
         )
diff --git a/database_wrapper.py b/database_wrapper.py
index 1365d0c..ac06232 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -67,7 +67,9 @@
         "tone",
         "timestamp",
         "username",
-        "filename",
+        "audio_file_id",
+        "script",
+        "emphasis"
     ],
     Clubs: [
         "club_name",
@@ -768,7 +770,9 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             "tone": "serious-but-not-really",
             "timestamp": 1577077883,
             "username": "guest",
-            "filename": "ww_q_serious-but-not-really_here_m_doe_jj_1577077883_guest.wav"  # noqa because too hard.
+            "emphasis": "us",
+            "script": "Nimbus"
+            "audio_file_id": Id from Google Drive  # noqa because too hard.
         }
 
         Raises:
diff --git a/flask_api.py b/flask_api.py
index e1bb967..c6e4c61 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -122,6 +122,8 @@ def handle_question():
 def save_a_recording():
     """Given the audio metadata & audio file, resamples it, saves to storage.
     """
+    if("wav_file" not in request.files):
+         return "Please provide an audio file under the key 'wav_file' in your FormData", BAD_REQUEST
     validator = WakeWordValidator()
     formatter = WakeWordFormatter()
     data = request.form
@@ -133,19 +135,17 @@ def save_a_recording():
             return str(err), BAD_REQUEST
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
+    try:
+         file_id = save_audiofile(filename, request.files["wav_file"])
+    except Exception as err:
+         return f"Failed to save audio file because... {err}", BAD_REQUEST
 
-    # Save the audiofile first because if error then we stop here
-    # We do not want to save any metadata to the NimbusDatabase
-    #   if the audio fails to save.
-    save_audiofile(filename, request.files["wav_file"])
-
-    # Let's also save the filename to the database for quick reference
-    formatted_data["filename"] = filename
+    formatted_data["audio_file_id"] = file_id
 
     initializeDB()
 
     try:
-        db.save_audio_sample_meta_data(formatted_data)
+        db.insert_entity(AudioSampleMetaData, formatted_data)
     except BadDictionaryKeyError as e:
         return str(e), BAD_REQUEST
     except BadDictionaryValueError as e:
@@ -158,7 +158,7 @@ def save_a_recording():
         # HINT: security always wins
         raise e
 
-    return filename
+    return f"Successfully stored audiofile as '{filename}''", SUCCESS
 
 
 @app.route("/new_data/office_hours", methods=["POST"])
@@ -479,7 +479,18 @@ def resample_audio():
 
 
 def save_audiofile(filename, content):
-    """Actually save the file into Google Drive."""
+    """
+     Saves audio to the club Google Drive folder.
+
+     Parameters
+     ----------
+     - `filename:str` the name of the file, formatted by `create_filename()`
+     - `content: file` audio file to store
+
+     Returns
+     -------
+     The Google Drive file id that can be used to retrieve the file
+     """
     # Initialize our google drive authentication object using saved credentials,
     # or through the command line
     gauth = GoogleAuth()
@@ -499,6 +510,7 @@ def save_audiofile(filename, content):
     # Set the content of the file to the POST request's wav_file parameter.
     file.content = content
     file.Upload()  # Upload file.
+    return file["id"]
 
 
 def get_folder_id():
diff --git a/modules/validators.py b/modules/validators.py
index 896a5d0..6462725 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -84,6 +84,8 @@ def __init__(self, validators=None):
             "firstName": lambda firstName: type(firstName) == str,
             "timestamp": lambda timestamp: str.isdigit(timestamp),
             "username": lambda username: type(username) == str,
+            "emphasis": lambda emphasis: type(emphasis) == str,
+            "script": lambda script: type(script) == str,
         }
 
     def validate(self, data):
@@ -118,6 +120,9 @@ def fix(self, data, issues):
                 elif key == "timestamp":
                     form[key] = int(time.time())
                     print("fixed timestamp", form[key])
+                elif key == "script" and form["isWakeWord"] == "ww":
+                     form[key] = "nimbus"
+                     print("Added 'script' value of 'nimbus'")
                 else:
                     raise WakeWordValidatorError(
                         f"Required audio metadata '{key}' was not provided"

From 3f17ea72a667510f0a10e58a17ef5f5583e36551 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sat, 16 May 2020 09:49:50 -0700
Subject: [PATCH 192/272] added fields to tests

---
 tests/test_database_wrapper.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
index 4d8e6f2..fbf7e69 100644
--- a/tests/test_database_wrapper.py
+++ b/tests/test_database_wrapper.py
@@ -43,7 +43,9 @@
     "tone": "serious-but-not-really",
     "timestamp": 1577077883,
     "username": "guest",
-    "filename": "ww_q_serious-fake_m_doe_jj_1577077883_guest.wav",
+    "audio_file_id": "OZ234FSDWER5GDF234F4G5",
+    "script": "Nimbus",
+    "emphasis": "us"
 }
 
 TEST_CONFIG_FILENAME = "testConfig.json"

From 30ae7499266622bbf6524a63d4978029ba281917 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sat, 16 May 2020 10:30:34 -0700
Subject: [PATCH 193/272] fixed misplaced quote

---
 flask_api.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/flask_api.py b/flask_api.py
index c6e4c61..48914c8 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -158,7 +158,7 @@ def save_a_recording():
         # HINT: security always wins
         raise e
 
-    return f"Successfully stored audiofile as '{filename}''", SUCCESS
+    return f"Successfully stored audiofile as '{filename}'", SUCCESS
 
 
 @app.route("/new_data/office_hours", methods=["POST"])

From 6a1a5200e893ed0d4775e43a169de4b799026a9e Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sat, 16 May 2020 10:31:08 -0700
Subject: [PATCH 194/272] updated first two tests to reflect the new wake word
 upload

---
 tests/test_flask_api.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/test_flask_api.py b/tests/test_flask_api.py
index 10ed271..817b34f 100644
--- a/tests/test_flask_api.py
+++ b/tests/test_flask_api.py
@@ -85,8 +85,8 @@ def test_new_data_wakeword(mock_db, mock_formatter, mock_validator, mock_create_
         data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
 
     # Verify that db client was told to save data, and that the newly generated filename was returned
-    mock_db.save_audio_sample_meta_data.assert_called_once()
-    assert resp.data == b"test_filename"
+    mock_db.insert_entity.assert_called_once()
+    assert resp.data == b"Successfully stored audiofile as 'test_filename'"
 
 
 @patch("flask_api.WakeWordValidator")
@@ -96,7 +96,7 @@ def test_new_data_wakeword_validator_issues(mock_validator, client):
     mock_validator.return_value = mock_validator_instance
 
     # Verify that the client will catch and throw an error if the validator fails
-    resp = client.post('/new_data/wakeword', data={"dummy1": "dummy2"})
+    resp = client.post('/new_data/wakeword', data={"dummy1": "dummy2", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
     assert resp.status_code == BAD_REQUEST
     assert resp.data == TEST_ERROR.encode()
 

From 3badb76f701a5f16fc2d3a334bb7aa2ef3b216fb Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@users.noreply.github.com>
Date: Sun, 17 May 2020 12:25:29 -0700
Subject: [PATCH 195/272] Update README.md

---
 README.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 001b23f..7118b14 100644
--- a/README.md
+++ b/README.md
@@ -12,6 +12,8 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 ## GitHub Actions Status
 ![Deploy To Staging Server](https://github.com/calpoly-csai/api/workflows/Deploy%20Dev%20To%20Staging%20Server/badge.svg)
 
+![Build and Deploy to Google Compute Engine](https://github.com/calpoly-csai/api/workflows/Build%20and%20Deploy%20to%20Google%20Compute%20Engine/badge.svg)
+
 ![Run Tests](https://github.com/calpoly-csai/api/workflows/Run%20Tests/badge.svg)
 
 ![Python PEP8 Style Check](https://github.com/calpoly-csai/api/workflows/Python%20PEP8%20Style%20Check/badge.svg)
@@ -29,7 +31,7 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 
 ## Dev Environment Setup
 ### Prerequisites
-1. Python 3.6.9
+1. Python 3.6.9 (we're running 3.8 on staging)
 
 2. pip 9.0.1
 
@@ -92,7 +94,7 @@ _Sometimes the format script is not enough, so run `lint` to manually style our
 
 ## Deployment
 ### What we use
-A Linux server (e.g. Ubuntu 18.04.3 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
+A Linux server (e.g. Ubuntu 20.04 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
 
 [See this documentation of the database deployment process](https://github.com/calpoly-csai/wiki/wiki/How-To-Install-and-Set-Up-a-Remote-MySQL-5.7-Database-and-Python-3.6-on-Ubuntu-18.04-with-Google-Cloud-Platform)
 

From 6531966751c34ec157c0c5c78235e9c7e352c1d5 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 17 May 2020 14:19:38 -0700
Subject: [PATCH 196/272] Tested validation in the WakeWordValidator

---
 modules/validators.py    |  4 ++--
 tests/test_flask_api.py  | 34 ----------------------------------
 tests/test_validators.py | 40 ++++++++++++++++++++++++++++++++++++++++
 3 files changed, 42 insertions(+), 36 deletions(-)
 create mode 100644 tests/test_validators.py

diff --git a/modules/validators.py b/modules/validators.py
index 6462725..99b9a0c 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -100,8 +100,8 @@ def validate(self, data):
                 value = data[key]
                 if not validator(value):
                     issues[key] = WakeWordValidatorIssue.INVALID
-            except BadRequestKeyError as e:
-                print("caught BadRequestKeyError: ", e.args)
+            except (KeyError, BadRequestKeyError) as e:
+                print("Couldn't find", e.args, "when validating data")
                 issues[key] = WakeWordValidatorIssue.DOES_NOT_EXIST
         return issues
 
diff --git a/tests/test_flask_api.py b/tests/test_flask_api.py
index 817b34f..fc96e4a 100644
--- a/tests/test_flask_api.py
+++ b/tests/test_flask_api.py
@@ -99,37 +99,3 @@ def test_new_data_wakeword_validator_issues(mock_validator, client):
     resp = client.post('/new_data/wakeword', data={"dummy1": "dummy2", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
     assert resp.status_code == BAD_REQUEST
     assert resp.data == TEST_ERROR.encode()
-
-
-@patch("flask_api.save_audiofile")
-@patch("flask_api.create_filename", return_value="test_filename")
-@patch("flask_api.WakeWordValidator")
-@patch("flask_api.WakeWordFormatter")
-@patch("flask_api.db")
-def test_new_data_wakeword_db_error(mock_db, mock_formatter, mock_validator, mock_create_filename,
-                                    mock_save_audiofile, client):
-    mock_formatter_instance = Mock()
-    mock_formatter_instance.format.return_value = {"filename": "dummy"}
-    mock_formatter.return_value = mock_formatter_instance
-
-    # Verify that the client will catch and throw an error for specific exceptions
-    mock_db.save_audio_sample_meta_data.side_effect = BadDictionaryKeyError(TEST_ERROR)
-    resp = client.post(
-        '/new_data/wakeword',
-        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
-    assert resp.status_code == BAD_REQUEST
-    assert resp.data == TEST_ERROR.encode()
-
-    mock_db.save_audio_sample_meta_data.side_effect = BadDictionaryValueError(TEST_ERROR)
-    resp = client.post(
-        '/new_data/wakeword',
-        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
-    assert resp.status_code == BAD_REQUEST
-    assert resp.data == TEST_ERROR.encode()
-
-    mock_db.save_audio_sample_meta_data.side_effect = NimbusDatabaseError(TEST_ERROR)
-    resp = client.post(
-        '/new_data/wakeword',
-        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
-    assert resp.status_code == BAD_REQUEST
-    assert resp.data == TEST_ERROR.encode()
diff --git a/tests/test_validators.py b/tests/test_validators.py
new file mode 100644
index 0000000..6802184
--- /dev/null
+++ b/tests/test_validators.py
@@ -0,0 +1,40 @@
+import json
+import pytest
+
+from modules.validators import WakeWordValidator, WakeWordValidatorError
+wake_word_data = {
+"isWakeWord":"true",
+"noiseLevel":"l",
+"tone":"serious",
+"location":"Cal Poly San Luis Obispo",
+"gender":"m",
+"lastName":"Waidhofer",
+"firstName":"John",
+"timestamp": "1589744893",
+"username":"waidhofer",
+"emphasis":"Emphasized",
+"script":"testing 123",
+"test":"foo"
+}
+
+important_fields = ["isWakeWord",
+"noiseLevel",
+"tone",
+"location",
+"gender",
+"lastName",
+"firstName",
+"emphasis",
+"script"]
+def test_wake_word_missing_values():
+    validator = WakeWordValidator()
+    for field in important_fields:
+        data = wake_word_data.copy()
+        data.pop(field)
+        issues = validator.validate(data)
+        print(issues)
+
+        assert len(issues) == 1
+
+        with pytest.raises(WakeWordValidatorError):
+            data = validator.fix(data,issues)

From b1efede70fe7003c52943148b12cbb811bc18b59 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@users.noreply.github.com>
Date: Sun, 17 May 2020 14:28:00 -0700
Subject: [PATCH 197/272] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 7118b14..2bc49ec 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 
 ## Dev Environment Setup
 ### Prerequisites
-1. Python 3.6.9 (we're running 3.8 on staging)
+1. Python 3.6.9 (we're running 3.8 on gce)
 
 2. pip 9.0.1
 

From d79444ecaea2102849086b6c3434b459e3ec1375 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 17 May 2020 15:00:16 -0700
Subject: [PATCH 198/272] remove old code

---
 nimbus_nlp/question_classifier.py | 78 -------------------------------
 1 file changed, 78 deletions(-)

diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 88fb447..8feae71 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -30,84 +30,6 @@ def load_latest_classifier(self):
 
             self.overall_features = json.load(fp)
 
-    def get_question_features(self, question):
-        # print("using new algorithm")
-        """
-        Method to extract features from each individual question.
-        """
-        features = {}
-
-        # Extract the main verb from the question before additional processing
-        main_verb = str(self.extract_main_verb(question))
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-
-        filtered_words = self.get_lemmas(words)
-
-        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
-        stemmed_main_verb = self.nlp(main_verb)[0]
-        features[stemmed_main_verb.text] = 60
-
-        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
-        # WITH WEIGHT 60
-        words_pos = nltk.pos_tag(filtered_words)
-        for word_pos in words_pos:
-            if self.is_wh_word(word_pos[1]):
-                features[word_pos[0]] = 60
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
-            if word not in features:
-                features[word] = 30
-
-        return features
-
-    def get_question_features_old_algorithm(self, question):
-        print("using old algorithm....")
-        """
-            Method to extract features from each individual question.
-            """
-        features = {}
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-        filtered_words = self.get_lemmas(words)
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        features[filtered_words[0]] = 60
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            features[word] = 30
-
-        return features
-
-        # Disable named entity recognition for speed
-        self.nlp = spacy.load("en_core_web_sm", disable=["ner"])
-        self.WH_WORDS = {"WDT", "WP", "WP$", "WRB"}
-        self.overall_features = {}
-
     # Added question pairs as a parameter to remove database_wrapper as a dependency
     # Including database_wrapper introduces circular dependencies
     def build_question_classifier(self, question_pairs: Tuple[str, str]):

From 34b70273c6ad05c415f731f6795c362db0d1c008 Mon Sep 17 00:00:00 2001
From: Kalen Goo <44537937+kgoo124@users.noreply.github.com>
Date: Sun, 17 May 2020 12:05:28 -1000
Subject: [PATCH 199/272] Added SonarCloud project badges

---
 README.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/README.md b/README.md
index 2bc49ec..7438901 100644
--- a/README.md
+++ b/README.md
@@ -5,6 +5,11 @@
 ![GitHub closed issues](https://img.shields.io/github/issues-closed/calpoly-csai/api)
 ![GitHub closed pull requests](https://img.shields.io/github/issues-pr-closed/calpoly-csai/api)
 
+[![Vulnerabilities](https://sonarcloud.io/api/project_badges/measure?project=calpoly-csai_api&metric=vulnerabilities)](https://sonarcloud.io/dashboard?id=calpoly-csai_api)
+[![Bugs](https://sonarcloud.io/api/project_badges/measure?project=calpoly-csai_api&metric=bugs)](https://sonarcloud.io/dashboard?id=calpoly-csai_api)
+[![Code Smells](https://sonarcloud.io/api/project_badges/measure?project=calpoly-csai_api&metric=code_smells)](https://sonarcloud.io/dashboard?id=calpoly-csai_api)
+[![Technical Debt](https://sonarcloud.io/api/project_badges/measure?project=calpoly-csai_api&metric=sqale_index)](https://sonarcloud.io/dashboard?id=calpoly-csai_api)
+
 Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CSAI_Voice_Assistant) accessible via HTTP REST protocol.
 
 ## 🚧 This API is still in-development, so expect the endpoints to be constantly changing until finalized.

From e3219307906a4d9ebc8607e248b58723a61ef606 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 20 May 2020 17:38:59 +0000
Subject: [PATCH 200/272] Bump httplib2 from 0.17.0 to 0.18.0

Bumps [httplib2](https://github.com/httplib2/httplib2) from 0.17.0 to 0.18.0.
- [Release notes](https://github.com/httplib2/httplib2/releases)
- [Changelog](https://github.com/httplib2/httplib2/blob/master/CHANGELOG)
- [Commits](https://github.com/httplib2/httplib2/compare/v0.17.0...v0.18.0)

Signed-off-by: dependabot[bot] <support@github.com>
---
 Pipfile.lock | 369 +++++++++++++++++++++++++--------------------------
 1 file changed, 178 insertions(+), 191 deletions(-)

diff --git a/Pipfile.lock b/Pipfile.lock
index b539c93..2ffb464 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -39,10 +39,10 @@
         },
         "cachetools": {
             "hashes": [
-                "sha256:9a52dd97a85f257f4e4127f15818e71a0c7899f121b34591fcc1173ea79a0198",
-                "sha256:b304586d357c43221856be51d73387f93e2a961598a9b6b6670664746f3b6c6c"
+                "sha256:1d057645db16ca7fe1f3bd953558897603d6f0b9c51ed9d11eb4d071ec4e2aab",
+                "sha256:de5d88f87781602201cde465d3afe837546663b168e8b39df67411b0bf10cefc"
             ],
-            "version": "==4.0.0"
+            "version": "==4.1.0"
         },
         "catalogue": {
             "hashes": [
@@ -53,10 +53,10 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:017c25db2a153ce562900032d5bc68e9f191e44e9a0f762f373977de9df1fbb3",
-                "sha256:25b64c7da4cd7479594d035c08c2d809eb4aab3a26e5a990ea98cc450c320f1f"
+                "sha256:1d987a998c75633c40847cc966fcf5904906c920a7f17ef374f5aa4282abd304",
+                "sha256:51fcb31174be6e6664c5f69e3e1691a2d72a1a12e90f872cbdb1567eb47b6519"
             ],
-            "version": "==2019.11.28"
+            "version": "==2020.4.5.1"
         },
         "chardet": {
             "hashes": [
@@ -67,10 +67,10 @@
         },
         "click": {
             "hashes": [
-                "sha256:8a18b4ea89d8820c5d0c7da8a64b2c324b4dabb695804dbfea19b9be9d88c0cc",
-                "sha256:e345d143d80bf5ee7534056164e5e112ea5e22716bbb1ce727941f4c8b471b9a"
+                "sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a",
+                "sha256:dacca89f4bfadd5de3d7489b7c8a566eee0d3676333fbb50030263894c38c0dc"
             ],
-            "version": "==7.1.1"
+            "version": "==7.1.2"
         },
         "cymem": {
             "hashes": [
@@ -126,17 +126,17 @@
         },
         "google-api-python-client": {
             "hashes": [
-                "sha256:0f5b42a14e2d2f7dee40f2e4514531dbe95ebde9c2173b1c4040a65c427e7900",
-                "sha256:5032ad1af5046889649b3848f2e871889fbb6ae440198a549fe1699581300386"
+                "sha256:b764be88cf2a1f8b4c4d17c9187a279fea93f4d767e7d7c24f71bf25385a8b10",
+                "sha256:be4e8dcf399d7d1dcaae004b7f18694907f740bf6e6cebda91da8ebd968c5481"
             ],
-            "version": "==1.8.0"
+            "version": "==1.8.3"
         },
         "google-auth": {
             "hashes": [
-                "sha256:016924388770b7e66c7e9ade1c4c3144ee88812d79697fd6c0dad9abdfcda2fd",
-                "sha256:01d686448f57d3bc027726474faa1aa650ba333bedb392e06938b0add8ec8d3a"
+                "sha256:73b141d122942afe12e8bfdcb6900d5df35c27d39700f078363ba0b1298ad33b",
+                "sha256:fbf25fee328c0828ef293459d9c649ef84ee44c0b932bb999d19df0ead1b40cf"
             ],
-            "version": "==1.12.0"
+            "version": "==1.15.0"
         },
         "google-auth-httplib2": {
             "hashes": [
@@ -169,51 +169,39 @@
         },
         "grpcio": {
             "hashes": [
-                "sha256:02aef8ef1a5ac5f0836b543e462eb421df6048a7974211a906148053b8055ea6",
-                "sha256:07f82aefb4a56c7e1e52b78afb77d446847d27120a838a1a0489260182096045",
-                "sha256:1cff47297ee614e7ef66243dc34a776883ab6da9ca129ea114a802c5e58af5c1",
-                "sha256:1ec8fc865d8da6d0713e2092a27eee344cd54628b2c2065a0e77fff94df4ae00",
-                "sha256:1ef949b15a1f5f30651532a9b54edf3bd7c0b699a10931505fa2c80b2d395942",
-                "sha256:209927e65395feb449783943d62a3036982f871d7f4045fadb90b2d82b153ea8",
-                "sha256:25c77692ea8c0929d4ad400ea9c3dcbcc4936cee84e437e0ef80da58fa73d88a",
-                "sha256:28f27c64dd699b8b10f70da5f9320c1cffcaefca7dd76275b44571bd097f276c",
-                "sha256:355bd7d7ce5ff2917d217f0e8ddac568cb7403e1ce1639b35a924db7d13a39b6",
-                "sha256:4a0a33ada3f6f94f855f92460896ef08c798dcc5f17d9364d1735c5adc9d7e4a",
-                "sha256:4d3b6e66f32528bf43ca2297caca768280a8e068820b1c3dca0fcf9f03c7d6f1",
-                "sha256:5121fa96c79fc0ec81825091d0be5c16865f834f41b31da40b08ee60552f9961",
-                "sha256:57949756a3ce1f096fa2b00f812755f5ab2effeccedb19feeb7d0deafa3d1de7",
-                "sha256:586d931736912865c9790c60ca2db29e8dc4eace160d5a79fec3e58df79a9386",
-                "sha256:5ae532b93cf9ce5a2a549b74a2c35e3b690b171ece9358519b3039c7b84c887e",
-                "sha256:5dab393ab96b2ce4012823b2f2ed4ee907150424d2f02b97bd6f8dd8f17cc866",
-                "sha256:5ebc13451246de82f130e8ee7e723e8d7ae1827f14b7b0218867667b1b12c88d",
-                "sha256:68a149a0482d0bc697aac702ec6efb9d380e0afebf9484db5b7e634146528371",
-                "sha256:6db7ded10b82592c472eeeba34b9f12d7b0ab1e2dcad12f081b08ebdea78d7d6",
-                "sha256:6e545908bcc2ae28e5b190ce3170f92d0438cf26a82b269611390114de0106eb",
-                "sha256:6f328a3faaf81a2546a3022b3dfc137cc6d50d81082dbc0c94d1678943f05df3",
-                "sha256:706e2dea3de33b0d8884c4d35ecd5911b4ff04d0697c4138096666ce983671a6",
-                "sha256:80c3d1ce8820dd819d1c9d6b63b6f445148480a831173b572a9174a55e7abd47",
-                "sha256:8111b61eee12d7af5c58f82f2c97c2664677a05df9225ef5cbc2f25398c8c454",
-                "sha256:9713578f187fb1c4d00ac554fe1edcc6b3ddd62f5d4eb578b81261115802df8e",
-                "sha256:9c0669ba9aebad540fb05a33beb7e659ea6e5ca35833fc5229c20f057db760e8",
-                "sha256:9e9cfe55dc7ac2aa47e0fd3285ff829685f96803197042c9d2f0fb44e4b39b2c",
-                "sha256:a22daaf30037b8e59d6968c76fe0f7ff062c976c7a026e92fbefc4c4bf3fc5a4",
-                "sha256:a25b84e10018875a0f294a7649d07c43e8bc3e6a821714e39e5cd607a36386d7",
-                "sha256:a71138366d57901597bfcc52af7f076ab61c046f409c7b429011cd68de8f9fe6",
-                "sha256:b4efde5524579a9ce0459ca35a57a48ca878a4973514b8bb88cb80d7c9d34c85",
-                "sha256:b78af4d42985ab3143d9882d0006f48d12f1bc4ba88e78f23762777c3ee64571",
-                "sha256:bb2987eb3af9bcf46019be39b82c120c3d35639a95bc4ee2d08f36ecdf469345",
-                "sha256:c03ce53690fe492845e14f4ab7e67d5a429a06db99b226b5c7caa23081c1e2bb",
-                "sha256:c59b9280284b791377b3524c8e39ca7b74ae2881ba1a6c51b36f4f1bb94cee49",
-                "sha256:d18b4c8cacbb141979bb44355ee5813dd4d307e9d79b3a36d66eca7e0a203df8",
-                "sha256:d1e5563e3b7f844dbc48d709c9e4a75647e11d0387cc1fa0c861d3e9d34bc844",
-                "sha256:d22c897b65b1408509099f1c3334bd3704f5e4eb7c0486c57d0e212f71cb8f54",
-                "sha256:dbec0a3a154dbf2eb85b38abaddf24964fa1c059ee0a4ad55d6f39211b1a4bca",
-                "sha256:ed123037896a8db6709b8ad5acc0ed435453726ea0b63361d12de369624c2ab5",
-                "sha256:f3614dabd2cc8741850597b418bcf644d4f60e73615906c3acc407b78ff720b3",
-                "sha256:f9d632ce9fd485119c968ec6a7a343de698c5e014d17602ae2f110f1b05925ed",
-                "sha256:fb62996c61eeff56b59ab8abfcaa0859ec2223392c03d6085048b576b567459b"
-            ],
-            "version": "==1.27.2"
+                "sha256:10cdc8946a7c2284bbc8e16d346eaa2beeaae86ea598f345df86d4ef7dfedb84",
+                "sha256:23bc395a32c2465564cb242e48bdd2fdbe5a4aebf307649a800da1b971ee7f29",
+                "sha256:2637ce96b7c954d2b71060f50eb4c72f81668f1b2faa6cbdc74677e405978901",
+                "sha256:3d8c510b6eabce5192ce126003d74d7751c7218d3e2ad39fcf02400d7ec43abe",
+                "sha256:5024b26e17a1bfc9390fb3b8077bf886eee02970af780fd23072970ef08cefe8",
+                "sha256:517538a54afdd67162ea2af1ac3326c0752c5d13e6ddadbc4885f6a28e91ab28",
+                "sha256:524ae8d3da61b856cf08abb3d0947df05402919e4be1f88328e0c1004031f72e",
+                "sha256:54e4658c09084b09cd83a5ea3a8bce78e4031ff1010bb8908c399a22a76a6f08",
+                "sha256:57c8cc2ae8cb94c3a89671af7e1380a4cdfcd6bab7ba303f4461ec32ded250ae",
+                "sha256:5fd9ffe938e9225c654c60eb21ff011108cc27302db85200413807e0eda99a4a",
+                "sha256:75b2247307a7ecaf6abc9eb2bd04af8f88816c111b87bf0044d7924396e9549c",
+                "sha256:7bf3cb1e0f4a9c89f7b748583b994bdce183103d89d5ff486da48a7668a052c7",
+                "sha256:7e02a7c40304eecee203f809a982732bd37fad4e798acad98fe73c66e44ff2db",
+                "sha256:806c9759f5589b3761561187408e0313a35c5c53f075c7590effab8d27d67dfe",
+                "sha256:80e9f9f6265149ca7c84e1c8c31c2cf3e2869c45776fbe8880a3133a11d6d290",
+                "sha256:81bbf78a399e0ee516c81ddad8601f12af3fc9b30f2e4b2fbd64efd327304a4d",
+                "sha256:886d48c32960b39e059494637eb0157a694956248d03b0de814447c188b74799",
+                "sha256:97b72bf2242a351a89184134adbb0ae3b422e6893c6c712bc7669e2eab21501b",
+                "sha256:97fcbdf1f12e0079d26db73da11ee35a09adc870b1e72fbff0211f6a8003a4e8",
+                "sha256:9cfb4b71cc3c8757f137d47000f9d90d4bd818733f9ab4f78bd447e052a4cb9a",
+                "sha256:9ef0370bcf629ece4e7e37796e4604e2514b920669be2911fc3f9c163a73a57b",
+                "sha256:a6dddb177b3cfa0cfe299fb9e07d6a3382cc79466bef48fe9c4326d5c5b1dcb8",
+                "sha256:a97ea91e31863c9a3879684b5fb3c6ab4b17c5431787548fc9f52b9483ea9c25",
+                "sha256:b49f243936b0f6ae8eb6adf88a1e54e736f1c6724a1bff6b591d105d708263ad",
+                "sha256:b85f355fc24b68a6c52f2750e7141110d1fcd07dfdc9b282de0000550fe0511b",
+                "sha256:c3a0ef12ee86f6e72db50e01c3dba7735a76d8c30104b9b0f7fd9d65ceb9d93f",
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+                "sha256:e90f3d11185c36593186e5ff1f581acc6ddfa4190f145b0366e579de1f52803b",
+                "sha256:ebf0ccb782027ef9e213e03b6d00bbd8dabd80959db7d468c0738e6d94b5204c",
+                "sha256:eede3039c3998e2cc0f6713f4ac70f235bd32967c9b958a17bf937aceebc12c3",
+                "sha256:ff7931241351521b8df01d7448800ce0d59364321d8d82c49b826d455678ff08"
+            ],
+            "version": "==1.29.0"
         },
         "gunicorn": {
             "hashes": [
@@ -225,10 +213,11 @@
         },
         "httplib2": {
             "hashes": [
-                "sha256:79751cc040229ec896aa01dced54de0cd0bf042f928e84d5761294422dde4454",
-                "sha256:de96d0a49f46d0ee7e0aae80141d37b8fcd6a68fb05d02e0b82c128592dd8261"
+                "sha256:4f6988e6399a2546b525a037d56da34aed4d149bbdc0e78523018d5606c26e74",
+                "sha256:b0e1f3ed76c97380fe2485bc47f25235453b40ef33ca5921bb2897e257a49c4c"
             ],
-            "version": "==0.17.0"
+            "index": "pypi",
+            "version": "==0.18.0"
         },
         "idna": {
             "hashes": [
@@ -240,11 +229,11 @@
         },
         "importlib-metadata": {
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-                "sha256:0095bf45caca7a93685cbb9e5ef49f0ed37f848639df8f4684f07229aa7a8322",
-                "sha256:dd381cddc02a58a23667ef675164ad70848d82966d3a8fddea96dcfb51064803"
+                "sha256:2a688cbaa90e0cc587f1df48bdc97a6eadccdcd9c35fb3f976a09e3b5016d90f",
+                "sha256:34513a8a0c4962bc66d35b359558fd8a5e10cd472d37aec5f66858addef32c1e"
             ],
             "markers": "python_version < '3.8'",
-            "version": "==1.5.1"
+            "version": "==1.6.0"
         },
         "itsdangerous": {
             "hashes": [
@@ -255,10 +244,10 @@
         },
         "jinja2": {
             "hashes": [
-                "sha256:93187ffbc7808079673ef52771baa950426fd664d3aad1d0fa3e95644360e250",
-                "sha256:b0eaf100007721b5c16c1fc1eecb87409464edc10469ddc9a22a27a99123be49"
+                "sha256:89aab215427ef59c34ad58735269eb58b1a5808103067f7bb9d5836c651b3bb0",
+                "sha256:f0a4641d3cf955324a89c04f3d94663aa4d638abe8f733ecd3582848e1c37035"
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-            "version": "==2.11.1"
+            "version": "==2.11.2"
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         "markupsafe": {
             "hashes": [
@@ -365,29 +354,29 @@
         },
         "numpy": {
             "hashes": [
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-            "version": "==1.18.2"
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+                "sha256:96dd36f5cdde152fd6977d1bbc0f0561bccffecfde63cd397c8e6033eb66baba",
+                "sha256:9933b81fecbe935e6a7dc89cbd2b99fea1bf362f2790daf9422a7bb1dc3c3085",
+                "sha256:bbcc85aaf4cd84ba057decaead058f43191cc0e30d6bc5d44fe336dc3d3f4509",
+                "sha256:dccd380d8e025c867ddcb2f84b439722cf1f23f3a319381eac45fd077dee7170",
+                "sha256:e22cd0f72fc931d6abc69dc7764484ee20c6a60b0d0fee9ce0426029b1c1bdae",
+                "sha256:ed722aefb0ebffd10b32e67f48e8ac4c5c4cf5d3a785024fdf0e9eb17529cd9d",
+                "sha256:efb7ac5572c9a57159cf92c508aad9f856f1cb8e8302d7fdb99061dbe52d712c",
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+                "sha256:f22273dd6a403ed870207b853a856ff6327d5cbce7a835dfa0645b3fc00273ec"
+            ],
+            "version": "==1.18.4"
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         "oauth2client": {
             "hashes": [
@@ -446,26 +435,24 @@
         },
         "protobuf": {
             "hashes": [
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-            "version": "==3.11.3"
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+                "sha256:35bc1b96241b8ea66dbf386547ef2e042d73dcc0bf4b63566e3ef68722bb24d1",
+                "sha256:47a541ac44f2dcc8d49b615bcf3ed7ba4f33af9791118cecc3d17815fab652d9",
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+                "sha256:7aaa820d629f8a196763dd5ba21fd272fa038f775a845a52e21fa67862abcd35",
+                "sha256:9593a6cdfc491f2caf62adb1c03170e9e8748d0a69faa2b3970e39a92fbd05a2",
+                "sha256:95f035bbafec7dbaa0f1c72eda8108b763c1671fcb6e577e93da2d52eb47fbcf",
+                "sha256:9d6a517ce33cbdc64b52a17c56ce17b0b20679c945ed7420e7c6bc6686ff0494",
+                "sha256:a7532d971e4ab2019a9f6aa224b209756b6b9e702940ca85a4b1ed1d03f45396",
+                "sha256:b4e8ecb1eb3d011f0ccc13f8bb0a2d481aa05b733e6e22e9d46a3f61dbbef0de",
+                "sha256:bb1aced9dcebc46f0b320f24222cc8ffdfd2e47d2bafd4d2e5913cc6f7e3fc98",
+                "sha256:ccce142ebcfbc35643a5012cf398497eb18e8d021333cced4d5401f034a8cef5",
+                "sha256:d538eecc0b80accfb73c8167f39aaa167a5a50f31b1295244578c8eff8e9d602",
+                "sha256:eab18765eb5c7bad1b2de7ae3774192b46e1873011682e36bcd70ccf75f2748a"
+            ],
+            "version": "==3.12.0"
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         "pyasn1": {
             "hashes": [
@@ -505,10 +492,10 @@
         },
         "pytz": {
             "hashes": [
-                "sha256:1c557d7d0e871de1f5ccd5833f60fb2550652da6be2693c1e02300743d21500d",
-                "sha256:b02c06db6cf09c12dd25137e563b31700d3b80fcc4ad23abb7a315f2789819be"
+                "sha256:a494d53b6d39c3c6e44c3bec237336e14305e4f29bbf800b599253057fbb79ed",
+                "sha256:c35965d010ce31b23eeb663ed3cc8c906275d6be1a34393a1d73a41febf4a048"
             ],
-            "version": "==2019.3"
+            "version": "==2020.1"
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         "pyyaml": {
             "hashes": [
@@ -671,10 +658,10 @@
         },
         "tqdm": {
             "hashes": [
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-                "sha256:f35fb121bafa030bd94e74fcfd44f3c2830039a2ddef7fc87ef1c2d205237b24"
+                "sha256:4733c4a10d0f2a4d098d801464bdaf5240c7dadd2a7fde4ee93b0a0efd9fb25e",
+                "sha256:acdafb20f51637ca3954150d0405ff1a7edde0ff19e38fb99a80a66210d2a28f"
             ],
-            "version": "==4.43.0"
+            "version": "==4.46.0"
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         "uritemplate": {
             "hashes": [
@@ -685,10 +672,10 @@
         },
         "urllib3": {
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-                "sha256:87716c2d2a7121198ebcb7ce7cccf6ce5e9ba539041cfbaeecfb641dc0bf6acc"
+                "sha256:3018294ebefce6572a474f0604c2021e33b3fd8006ecd11d62107a5d2a963527",
+                "sha256:88206b0eb87e6d677d424843ac5209e3fb9d0190d0ee169599165ec25e9d9115"
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-            "version": "==1.25.8"
+            "version": "==1.25.9"
         },
         "wasabi": {
             "hashes": [
@@ -699,10 +686,10 @@
         },
         "werkzeug": {
             "hashes": [
-                "sha256:169ba8a33788476292d04186ab33b01d6add475033dfc07215e6d219cc077096",
-                "sha256:6dc65cf9091cf750012f56f2cad759fa9e879f511b5ff8685e456b4e3bf90d16"
+                "sha256:2de2a5db0baeae7b2d2664949077c2ac63fbd16d98da0ff71837f7d1dea3fd43",
+                "sha256:6c80b1e5ad3665290ea39320b91e1be1e0d5f60652b964a3070216de83d2e47c"
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-            "version": "==1.0.0"
+            "version": "==1.0.1"
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         "zipp": {
             "hashes": [
@@ -715,10 +702,10 @@
     "develop": {
         "appdirs": {
             "hashes": [
-                "sha256:9e5896d1372858f8dd3344faf4e5014d21849c756c8d5701f78f8a103b372d92",
-                "sha256:d8b24664561d0d34ddfaec54636d502d7cea6e29c3eaf68f3df6180863e2166e"
+                "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41",
+                "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"
             ],
-            "version": "==1.4.3"
+            "version": "==1.4.4"
         },
         "attrs": {
             "hashes": [
@@ -737,10 +724,10 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:017c25db2a153ce562900032d5bc68e9f191e44e9a0f762f373977de9df1fbb3",
-                "sha256:25b64c7da4cd7479594d035c08c2d809eb4aab3a26e5a990ea98cc450c320f1f"
+                "sha256:1d987a998c75633c40847cc966fcf5904906c920a7f17ef374f5aa4282abd304",
+                "sha256:51fcb31174be6e6664c5f69e3e1691a2d72a1a12e90f872cbdb1567eb47b6519"
             ],
-            "version": "==2019.11.28"
+            "version": "==2020.4.5.1"
         },
         "chardet": {
             "hashes": [
@@ -751,10 +738,10 @@
         },
         "click": {
             "hashes": [
-                "sha256:8a18b4ea89d8820c5d0c7da8a64b2c324b4dabb695804dbfea19b9be9d88c0cc",
-                "sha256:e345d143d80bf5ee7534056164e5e112ea5e22716bbb1ce727941f4c8b471b9a"
+                "sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a",
+                "sha256:dacca89f4bfadd5de3d7489b7c8a566eee0d3676333fbb50030263894c38c0dc"
             ],
-            "version": "==7.1.1"
+            "version": "==7.1.2"
         },
         "coverage": {
             "hashes": [
@@ -834,11 +821,11 @@
         },
         "importlib-metadata": {
             "hashes": [
-                "sha256:0095bf45caca7a93685cbb9e5ef49f0ed37f848639df8f4684f07229aa7a8322",
-                "sha256:dd381cddc02a58a23667ef675164ad70848d82966d3a8fddea96dcfb51064803"
+                "sha256:2a688cbaa90e0cc587f1df48bdc97a6eadccdcd9c35fb3f976a09e3b5016d90f",
+                "sha256:34513a8a0c4962bc66d35b359558fd8a5e10cd472d37aec5f66858addef32c1e"
             ],
             "markers": "python_version < '3.8'",
-            "version": "==1.5.1"
+            "version": "==1.6.0"
         },
         "invoke": {
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@@ -851,10 +838,10 @@
         },
         "libcst": {
             "hashes": [
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-                "sha256:846818fcc622a28fd1f4b8b8019e904c3a63c21470be1972a72be28a87cbb6f1"
+                "sha256:a6dafcf782fa8093c8a89be6698e7e7546d86465a11f273aa0aec7fae0eb1b87",
+                "sha256:c2a7cd82fd1cb5abb32f8e97fd936977a4fa04864c1d94adf513653a7c6209a4"
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-            "version": "==0.3.3"
+            "version": "==0.3.5"
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         "mccabe": {
             "hashes": [
@@ -865,10 +852,10 @@
         },
         "more-itertools": {
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-                "sha256:5dd8bcf33e5f9513ffa06d5ad33d78f31e1931ac9a18f33d37e77a180d393a7c",
-                "sha256:b1ddb932186d8a6ac451e1d95844b382f55e12686d51ca0c68b6f61f2ab7a507"
+                "sha256:558bb897a2232f5e4f8e2399089e35aecb746e1f9191b6584a151647e89267be",
+                "sha256:7818f596b1e87be009031c7653d01acc46ed422e6656b394b0f765ce66ed4982"
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-            "version": "==8.2.0"
+            "version": "==8.3.0"
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         "mypy-extensions": {
             "hashes": [
@@ -879,17 +866,17 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:3c292b474fda1671ec57d46d739d072bfd495a4f51ad01a055121d81e952b7a3",
-                "sha256:82f77b9bee21c1bafbf35a84905d604d5d1223801d639cf3ed140bd651c08752"
+                "sha256:4357f74f47b9c12db93624a82154e9b120fa8293699949152b22065d556079f8",
+                "sha256:998416ba6962ae7fbd6596850b80e17859a5753ba17c32284f67bfff33784181"
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-            "version": "==20.3"
+            "version": "==20.4"
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         "pathspec": {
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-                "sha256:562aa70af2e0d434367d9790ad37aed893de47f1693e4201fd1d3dca15d19b96"
+                "sha256:7d91249d21749788d07a2d0f94147accd8f845507400749ea19c1ec9054a12b0",
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-            "version": "==0.7.0"
+            "version": "==0.8.0"
         },
         "pluggy": {
             "hashes": [
@@ -937,10 +924,10 @@
         },
         "pyparsing": {
             "hashes": [
-                "sha256:4c830582a84fb022400b85429791bc551f1f4871c33f23e44f353119e92f969f",
-                "sha256:c342dccb5250c08d45fd6f8b4a559613ca603b57498511740e65cd11a2e7dcec"
+                "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1",
+                "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"
             ],
-            "version": "==2.4.6"
+            "version": "==2.4.7"
         },
         "pyre-check": {
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@@ -953,10 +940,10 @@
         },
         "pyre-extensions": {
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-                "sha256:827956517ceb55233f6536c6a8ed387a027476926aab7e3cd599e428e9687ce0"
+                "sha256:60e0411e91ecbeaf1fd5d8851ffce42baf6a74ec7ccd01db545c7a97f15aac30",
+                "sha256:e6ad1facef54c982d9c0d9780b1aee9faf5cf53b3c7860a087062a206d1598c8"
             ],
-            "version": "==0.0.17"
+            "version": "==0.0.18"
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         "pytest": {
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@@ -991,29 +978,29 @@
         },
         "regex": {
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-                "sha256:8c2b7fa4d72781577ac45ab658da44c7518e6d96e2a50d04ecb0fd8f28b21d69",
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-                "sha256:9e9624440d754733eddbcd4614378c18713d2d9d0dc647cf9c72f64e39671be5",
-                "sha256:9ff16d994309b26a1cdf666a6309c1ef51ad4f72f99d3392bcd7b7139577a1f2",
-                "sha256:b33ebcd0222c1d77e61dbcd04a9fd139359bded86803063d3d2d197b796c63ce",
-                "sha256:bba52d72e16a554d1894a0cc74041da50eea99a8483e591a9edf1025a66843ab",
-                "sha256:bed7986547ce54d230fd8721aba6fd19459cdc6d315497b98686d0416efaff4e",
-                "sha256:c7f58a0e0e13fb44623b65b01052dae8e820ed9b8b654bb6296bc9c41f571b70",
-                "sha256:d58a4fa7910102500722defbde6e2816b0372a4fcc85c7e239323767c74f5cbc",
-                "sha256:f1ac2dc65105a53c1c2d72b1d3e98c2464a133b4067a51a3d2477b28449709a0"
-            ],
-            "version": "==2020.2.20"
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+                "sha256:51f17abbe973c7673a61863516bdc9c0ef467407a940f39501e786a07406699c",
+                "sha256:579ea215c81d18da550b62ff97ee187b99f1b135fd894a13451e00986a080cad",
+                "sha256:70c14743320a68c5dac7fc5a0f685be63bc2024b062fe2aaccc4acc3d01b14a1",
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+                "sha256:89d76ce33d3266173f5be80bd4efcbd5196cafc34100fdab814f9b228dee0fa4",
+                "sha256:99568f00f7bf820c620f01721485cad230f3fb28f57d8fbf4a7967ec2e446994",
+                "sha256:a7c37f048ec3920783abab99f8f4036561a174f1314302ccfa4e9ad31cb00eb4",
+                "sha256:c2062c7d470751b648f1cacc3f54460aebfc261285f14bc6da49c6943bd48bdd",
+                "sha256:c9bce6e006fbe771a02bda468ec40ffccbf954803b470a0345ad39c603402577",
+                "sha256:ce367d21f33e23a84fb83a641b3834dd7dd8e9318ad8ff677fbfae5915a239f7",
+                "sha256:ce450ffbfec93821ab1fea94779a8440e10cf63819be6e176eb1973a6017aff5",
+                "sha256:ce5cc53aa9fbbf6712e92c7cf268274eaff30f6bd12a0754e8133d85a8fb0f5f",
+                "sha256:d466967ac8e45244b9dfe302bbe5e3337f8dc4dec8d7d10f5e950d83b140d33a",
+                "sha256:d881c2e657c51d89f02ae4c21d9adbef76b8325fe4d5cf0e9ad62f850f3a98fd",
+                "sha256:e565569fc28e3ba3e475ec344d87ed3cd8ba2d575335359749298a0899fe122e",
+                "sha256:ea55b80eb0d1c3f1d8d784264a6764f931e172480a2f1868f2536444c5f01e01"
+            ],
+            "version": "==2020.5.14"
         },
         "requests": {
             "hashes": [
@@ -1039,10 +1026,10 @@
         },
         "toml": {
             "hashes": [
-                "sha256:229f81c57791a41d65e399fc06bf0848bab550a9dfd5ed66df18ce5f05e73d5c",
-                "sha256:235682dd292d5899d361a811df37e04a8828a5b1da3115886b73cf81ebc9100e"
+                "sha256:926b612be1e5ce0634a2ca03470f95169cf16f939018233a670519cb4ac58b0f",
+                "sha256:bda89d5935c2eac546d648028b9901107a595863cb36bae0c73ac804a9b4ce88"
             ],
-            "version": "==0.10.0"
+            "version": "==0.10.1"
         },
         "typed-ast": {
             "hashes": [
@@ -1072,26 +1059,26 @@
         },
         "typing-extensions": {
             "hashes": [
-                "sha256:091ecc894d5e908ac75209f10d5b4f118fbdb2eb1ede6a63544054bb1edb41f2",
-                "sha256:910f4656f54de5993ad9304959ce9bb903f90aadc7c67a0bef07e678014e892d",
-                "sha256:cf8b63fedea4d89bab840ecbb93e75578af28f76f66c35889bd7065f5af88575"
+                "sha256:6e95524d8a547a91e08f404ae485bbb71962de46967e1b71a0cb89af24e761c5",
+                "sha256:79ee589a3caca649a9bfd2a8de4709837400dfa00b6cc81962a1e6a1815969ae",
+                "sha256:f8d2bd89d25bc39dabe7d23df520442fa1d8969b82544370e03d88b5a591c392"
             ],
-            "version": "==3.7.4.1"
+            "version": "==3.7.4.2"
         },
         "typing-inspect": {
             "hashes": [
-                "sha256:75c97b7854426a129f3184c68588db29091ff58e6908ed520add1d52fc44df6e",
-                "sha256:811b44f92e780b90cfe7bac94249a4fae87cfaa9b40312765489255045231d9c",
-                "sha256:c6ed1cd34860857c53c146a6704a96da12e1661087828ce350f34addc6e5eee3"
+                "sha256:3b98390df4d999a28cf5b35d8b333425af5da2ece8a4ea9e98f71e7591347b4f",
+                "sha256:8f1b1dd25908dbfd81d3bebc218011531e7ab614ba6e5bf7826d887c834afab7",
+                "sha256:de08f50a22955ddec353876df7b2545994d6df08a2f45d54ac8c05e530372ca0"
             ],
-            "version": "==0.5.0"
+            "version": "==0.6.0"
         },
         "urllib3": {
             "hashes": [
-                "sha256:2f3db8b19923a873b3e5256dc9c2dedfa883e33d87c690d9c7913e1f40673cdc",
-                "sha256:87716c2d2a7121198ebcb7ce7cccf6ce5e9ba539041cfbaeecfb641dc0bf6acc"
+                "sha256:3018294ebefce6572a474f0604c2021e33b3fd8006ecd11d62107a5d2a963527",
+                "sha256:88206b0eb87e6d677d424843ac5209e3fb9d0190d0ee169599165ec25e9d9115"
             ],
-            "version": "==1.25.8"
+            "version": "==1.25.9"
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         "wcwidth": {
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From ad9060518f2ee766b55769c705ce7804c3a12b8a Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 24 May 2020 13:41:07 -0700
Subject: [PATCH 201/272] nlp model fixes to remove wh word

---
 .../nlp-model_05_24_2020_13_38_37.pkl          | Bin 0 -> 251417 bytes
 .../models/features/overall_features.json      |   3 +--
 nimbus_nlp/question_classifier.py              |  10 +++++-----
 3 files changed, 6 insertions(+), 7 deletions(-)
 create mode 100644 nimbus_nlp/models/classification/nlp-model_05_24_2020_13_38_37.pkl

diff --git a/nimbus_nlp/models/classification/nlp-model_05_24_2020_13_38_37.pkl b/nimbus_nlp/models/classification/nlp-model_05_24_2020_13_38_37.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..7382371152f5cc267bbb13dd12c9cfcd9e7919b2
GIT binary patch
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diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index d5baf23..66c78a9 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1,2 +1 @@
-{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preqs": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "advisor": 0, "build": 0, "in": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "not related": 0}
-
+{"what": 0, "prereqs": 0, "COURSE": 0, "be": 0, "which": 0, "course": 0, "require": 0, "take": 0, "how": 0, "unit": 0, "count": 0, "when": 0, "typically": 0, "offer": 0, "during": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "-PRON-": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "do": 0, "preqs": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "where": 0, "office": 0, "in": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "cal": 0, "poly": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "president": 0, "advisor": 0, "who": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "whose": 0, "build": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "skype": 0, "see": 0, "not related": 0}
\ No newline at end of file
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 8feae71..9089cb9 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -90,9 +90,9 @@ def get_question_features(self, spacy_doc):
                 features[token.text] = 90
 
             # Add WH words with weight 60
-            elif self.is_wh_word(token):
+            #elif self.is_wh_word(token):
                 # .lemma_ is already lowercase; no .lower() needed
-                features[token.lemma_] = 60
+            #    features[token.lemma_] = 3
 
             # Add all other words with weight 30
             else:
@@ -130,10 +130,10 @@ def classify_question(self, question):
         # Cast to string because the classifier returns a numpy.str_, which causes issues
         # with the validate_wh function below.
         predicted_question = str(self.classifier.predict(test_vector)[0])
-        wh_words_match = self.validate_wh(doc, predicted_question)
+        #wh_words_match = self.validate_wh(doc, predicted_question)
 
-        if not wh_words_match:
-            return "WH Words Don't Match"
+        #if not wh_words_match:
+        #    return "WH Words Don't Match"
 
         return predicted_question
 

From e697d94dfdb25d4d11564d6e98ff9cbffa55fcb4 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 24 May 2020 13:46:43 -0700
Subject: [PATCH 202/272] lint fixes

---
 nimbus_nlp/question_classifier.py | 16 ++++------------
 nimbus_nlp/save_and_load_model.py | 10 +---------
 2 files changed, 5 insertions(+), 21 deletions(-)

diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 9089cb9..5b78f30 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -1,4 +1,3 @@
-import collections
 import json
 import numpy as np
 import spacy
@@ -20,14 +19,11 @@ def __init__(self, db, file_path="question_set_clean.csv"):
 
     def train_model(self):
         self.classifier = self.build_question_classifier(question_pairs=self.db.get_all_answerable_pairs())
-
         save_model(self.classifier, "nlp-model")
 
-
     def load_latest_classifier(self):
         self.classifier = load_latest_model()
         with open(PROJECT_DIR + '/models/features/overall_features.json', 'r') as fp:
-
             self.overall_features = json.load(fp)
 
     # Added question pairs as a parameter to remove database_wrapper as a dependency
@@ -90,7 +86,7 @@ def get_question_features(self, spacy_doc):
                 features[token.text] = 90
 
             # Add WH words with weight 60
-            #elif self.is_wh_word(token):
+            # elif self.is_wh_word(token):
                 # .lemma_ is already lowercase; no .lower() needed
             #    features[token.lemma_] = 3
 
@@ -130,13 +126,9 @@ def classify_question(self, question):
         # Cast to string because the classifier returns a numpy.str_, which causes issues
         # with the validate_wh function below.
         predicted_question = str(self.classifier.predict(test_vector)[0])
-        #wh_words_match = self.validate_wh(doc, predicted_question)
+        # wh_words_match = self.validate_wh(doc, predicted_question)
 
-        #if not wh_words_match:
+        # if not wh_words_match:
         #    return "WH Words Don't Match"
 
-        return predicted_question
-
-
-
-
+        return predicted_question
\ No newline at end of file
diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
index 988139f..bc6f1eb 100644
--- a/nimbus_nlp/save_and_load_model.py
+++ b/nimbus_nlp/save_and_load_model.py
@@ -1,17 +1,9 @@
 import glob
 import os
-import numpy as np
-import pandas as pd
-from sklearn.model_selection import train_test_split
-from sklearn.feature_extraction import DictVectorizer
-from sklearn import svm
 import joblib
-
 import pickle
 from datetime import datetime
-from os import listdir
-from os.path import isfile, join
-import re
+
 
 PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
 now = datetime.now()

From c2d4bdbd03b7bfddefbec9499f87d95e19802c9d Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 24 May 2020 14:36:24 -0700
Subject: [PATCH 203/272] Merge init_db and init_nimbus and add pre-ping

---
 flask_api.py | 37 +++++++++++++++++++++----------------
 1 file changed, 21 insertions(+), 16 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 48914c8..01f21d7 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -3,6 +3,7 @@
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
+from sqlalchemy.exc import OperationalError
 
 from flask import Flask, jsonify, request
 from flask_cors import CORS
@@ -60,17 +61,21 @@
 nimbus = None
 
 
-def initializeDB():
+def init_nimbus_db():
     global db
+    global nimbus
+
+    # If not connected to db, initialize db connection and Nimbus client
     if db is None:
         db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-
-
-def initializeNimbus():
-    global nimbus
-    if nimbus is None:
-        initializeDB()
         nimbus = Nimbus(db)
+    # If not connected, reset db and Nimbus client
+    else:
+        try:
+            db.engine.connect()
+        except OperationalError:
+            db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
+            nimbus - Nimbus(db)
 
 
 @app.route("/", methods=["GET", "POST"])
@@ -96,7 +101,7 @@ def handle_question():
     server are:
         * storage of the logs of this question-answer-session.
     """
-    initializeNimbus()
+    init_nimbus_db()
 
     if request.is_json is False:
         return "request must be JSON", BAD_REQUEST
@@ -142,7 +147,7 @@ def save_a_recording():
 
     formatted_data["audio_file_id"] = file_id
 
-    initializeDB()
+    init_nimbus_db()
 
     try:
         db.insert_entity(AudioSampleMetaData, formatted_data)
@@ -166,7 +171,7 @@ def save_office_hours():
     """
     Persists list of office hours
     """
-    initializeDB()
+    init_nimbus_db()
 
     data = request.get_json()
     for professor in data:
@@ -205,7 +210,7 @@ def save_query_phrase():
             print("error", err)
             return str(err), BAD_REQUEST
 
-    initializeDB()
+    init_nimbus_db()
 
     try:
         phrase_saved = db.insert_entity(QuestionAnswerPair, data)
@@ -240,7 +245,7 @@ def save_feedback():
             print("error:", err)
             return str(err), BAD_REQUEST
 
-    initializeDB()
+    init_nimbus_db()
 
     try:
         feedback_saved = db.insert_entity(QueryFeedback, data)
@@ -263,7 +268,7 @@ def save_courses():
     Persists list of courses
     """
     data = request.get_json()
-    initializeDB()
+    init_nimbus_db()
 
     for course in data["courses"]:
         try:
@@ -289,7 +294,7 @@ def save_clubs():
     Persists list of clubs
     """
     data = request.get_json()
-    initializeDB()
+    init_nimbus_db()
 
     for club in data["clubs"]:
         try:
@@ -315,7 +320,7 @@ def save_locations():
     Persists list of locations
     """
     data = request.get_json()
-    initializeDB()
+    init_nimbus_db()
 
     for location in data["locations"]:
         try:
@@ -341,7 +346,7 @@ def save_calendars():
     Persists list of calendars
     """
     data = request.get_json()
-    initializeDB()
+    init_nimbus_db()
 
     for calendar in data["calendars"]:
         try:

From 9d68b57b99a9fbebcdbf40767a209fdc339ce123 Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Sun, 24 May 2020 15:05:23 -0700
Subject: [PATCH 204/272] correct sklearn model

---
 .../nlp-model_02_28_2020_00_11_52.pkl         | Bin 3579755 -> 0 bytes
 .../nlp-model_04_12_2020_13_50_20.pkl         |   1 -
 .../nlp-model_04_12_2020_13_50_38.pkl         | Bin 245252 -> 0 bytes
 .../nlp-model_04_19_2020_16_41_15.pkl         | Bin 3579755 -> 0 bytes
 .../nlp-model_04_21_2020_13_19_51.pkl         | Bin 273809 -> 0 bytes
 .../nlp-model_04_21_2020_13_20_23.pkl         | Bin 273809 -> 0 bytes
 .../nlp-model_04_21_2020_13_23_34.pkl         | Bin 273809 -> 0 bytes
 .../nlp-model_05_24_2020_13_38_37.pkl         | Bin 251417 -> 0 bytes
 ....pkl => nlp-model_05_24_2020_15_03_22.pkl} | Bin
 .../models/features/overall_features.json     |   2 +-
 10 files changed, 1 insertion(+), 2 deletions(-)
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_02_28_2020_00_11_52.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_20.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_04_12_2020_13_50_38.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_04_19_2020_16_41_15.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_04_21_2020_13_19_51.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_04_21_2020_13_20_23.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_04_21_2020_13_23_34.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_05_24_2020_13_38_37.pkl
 rename nimbus_nlp/models/classification/{nlp-model_05_08_2020_16_49_27.pkl => nlp-model_05_24_2020_15_03_22.pkl} (100%)

diff --git a/nimbus_nlp/models/classification/nlp-model_02_28_2020_00_11_52.pkl b/nimbus_nlp/models/classification/nlp-model_02_28_2020_00_11_52.pkl
deleted file mode 100644
index 8cd514a8fd21b0275243d3a3e0caad604192c072..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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deleted file mode 100644
index a61ccad..0000000
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diff --git a/nimbus_nlp/models/classification/nlp-model_05_24_2020_13_38_37.pkl b/nimbus_nlp/models/classification/nlp-model_05_24_2020_13_38_37.pkl
deleted file mode 100644
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diff --git a/nimbus_nlp/models/classification/nlp-model_05_08_2020_16_49_27.pkl b/nimbus_nlp/models/classification/nlp-model_05_24_2020_15_03_22.pkl
similarity index 100%
rename from nimbus_nlp/models/classification/nlp-model_05_08_2020_16_49_27.pkl
rename to nimbus_nlp/models/classification/nlp-model_05_24_2020_15_03_22.pkl
diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index 66c78a9..17e2b67 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1 +1 @@
-{"what": 0, "prereqs": 0, "COURSE": 0, "be": 0, "which": 0, "course": 0, "require": 0, "take": 0, "how": 0, "unit": 0, "count": 0, "when": 0, "typically": 0, "offer": 0, "during": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "-PRON-": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "do": 0, "preqs": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "where": 0, "office": 0, "in": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "cal": 0, "poly": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "president": 0, "advisor": 0, "who": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "whose": 0, "build": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "skype": 0, "see": 0, "not related": 0}
\ No newline at end of file
+{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preqs": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "advisor": 0, "build": 0, "in": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "not related": 0}
\ No newline at end of file

From 8e2a5a5549e07a0bad73112599ac85a8ae8659e1 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 10:24:30 -0700
Subject: [PATCH 205/272] make simple & colorful script for build

---
 build.py | 239 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 239 insertions(+)
 create mode 100755 build.py

diff --git a/build.py b/build.py
new file mode 100755
index 0000000..3539096
--- /dev/null
+++ b/build.py
@@ -0,0 +1,239 @@
+#!/usr/bin/env python3
+"""
+This script will install/download/compile everything you need to work on Nimbus.
+"""
+
+import os
+import subprocess
+import sys
+import argparse
+import warnings
+
+
+# lazily mock the colorful.<color_name> functions until import
+def bold_green(s, *args, **kwargs):
+    return str(s)
+
+
+def bold_yellow(s, *args, **kwargs):
+    return str(s)
+
+
+def bold_orange(s, *args, **kwargs):
+    return str(s)
+
+
+def bold_white(s, *args, **kwargs):
+    return str(s)
+
+
+def bold_blue(s, *args, **kwargs):
+    return str(s)
+
+
+def bold_red(s, *args, **kwargs):
+    return str(s)
+
+
+def gray_on_gray(s, *args, **kwargs):
+    return str(s)
+
+
+def reset_color(s, *args, **kwargs):
+    return str(s)
+
+
+def run(
+    cmd_tokens,
+    fail_msg,
+    run_msg=None,
+    q=False,
+    skip_assert=False,
+    warn=False,
+    capture_output=False,
+    qq=False,
+):
+    run_msg = run_msg or bold_blue(
+        "\nrunning... " + " ".join(cmd_tokens) + "\n", nested=True
+    )
+    print(run_msg) if not qq else None
+    stdout = subprocess.DEVNULL if q else None  # default STDOUT
+    stderr = subprocess.DEVNULL if q else None  # default STDERR
+    stdout = subprocess.PIPE if capture_output else stdout
+    res = subprocess.run(cmd, stdout=stdout, stderr=stdout)
+    if skip_assert:
+        return res.stdout.decode("utf-8").strip() if capture_output else res
+    else:
+        its_good = res.returncode == 0
+        if its_good:
+            print(bold_blue("✅ it is good.", nested=True)) if not qq else None
+            return res.stdout.decode("utf-8").strip() if capture_output else res
+        elif warn:
+            warnings.warn(
+                bold_yellow(reset_color("WARNING: " + fail_msg))
+            ) if not q else None
+            return res.stdout.decode("utf-8").strip() if capture_output else res
+        else:
+            assert its_good, bold_red(fail_msg)
+
+
+if __name__ == "__main__":
+    # ==================================================================
+    #  GET THE COMMAND LINE ARGUMENTS
+    # ==================================================================
+    parser = argparse.ArgumentParser(description="Build Nimbus.")
+    parser.add_argument(
+        "-q",
+        "--quiet",
+        action="store_true",
+        help="optionally silence some execution printouts (default: False).",
+    )
+    parser.add_argument(
+        "--skip-spacy-download",
+        action="store_true",
+        help="optionally skip the download of spacy's `en_core_web_lg` model (default: False).",
+    )
+    args = parser.parse_args()
+    Q = args.quiet
+    SKIP_SPACY_DOWNLOAD = args.skip_spacy_download
+
+    # =========================================================================
+    # GET THE CURRENTLY RUNNING PYTHON EXECUTABLE PATH
+    # =========================================================================
+    python = sys.executable
+
+    # =========================================================================
+    # SOME SCRIPT SETUP
+    # =========================================================================
+    try:
+        # ---------------------------------------------------------------------
+        # install some nice-to-have terminal color packages
+        # ---------------------------------------------------------------------
+        cmd = [python, "-m", "pip", "install", "colorful", "termcolor", "ansicolors"]
+        run(cmd, fail_msg="oops color packages failed to install. that's ok.", q=Q)
+        from colorama import init
+        import colorful as cf
+        from colors import strip_color
+        from contextlib import contextmanager
+        import copy
+
+        # https://github.com/timofurrer/colorful#styles
+        cf.use_style("monokai")
+        bold_green = cf.bold_green
+        bold_orange = cf.bold_orange
+        bold_yellow = cf.bold_yellow
+        bold_white = cf.bold
+        bold_red = cf.bold_magenta
+        gray_on_gray = cf.gray_on_gray
+        bold_blue = cf.bold_blue
+
+        def reset_color(s, *args, **kwargs):
+            if isinstance(s, cf.core.ColorfulString):
+                return strip_color(s.orig_string)
+            elif isinstance(s, str):
+                return strip_color(s)
+            else:
+                raise NotImplementedError("expected either ColorfulString or str.")
+
+        # shadows mock functions
+        init()
+        print(bold_green("color!") + bold_orange(" wow!"))
+    except Exception as e:
+        # ---------------------------------------------------------------------
+        # make sure you are not on old python
+        # ---------------------------------------------------------------------
+        if sys.version_info.major < 3:
+            # https://docs.python.org/3/library/exceptions.html#SystemError
+            msg = (
+                "\n\n"
+                + "you are running a python with `sys.version_info.major < 3`"
+                + "\n"
+                + "\n"
+                + str(sys.version)
+                + "\n"
+                + "\n"
+                + "try again with Python >= 3.6.8"
+                + "\n"
+            )
+            raise SystemError(msg)
+            exit(1)
+        else:
+            # otherwise the color packages failed for other reasons. that's ok.
+            print(e)
+            print("\n\nhmm.. no colors, that's ok.\n\n")
+
+    # =========================================================================
+    # INSTALL THE REQUIREMENTS
+    # =========================================================================
+    cmd = [python, "-m", "pip", "install", "-r", "requirements.txt"]
+    run(cmd_tokens=cmd, fail_msg="failed to install requirements", q=Q)
+
+    # =========================================================================
+    # SETUP THE SPECIAL/SECRET FILES
+    # =========================================================================
+    cmd = [python, "setup_special_files_from_env.py"]
+    missing_secrets_msg = (
+        bold_red(
+            "failed to setup special files" + "\n\n" + "you need the ", nested=True
+        )
+        + bold_orange("nimbus-config-secrets", nested=True)
+        + "\n"
+        + bold_red(
+            "\n"
+            + "ask an Nimbus maintainer/admin for help"
+            + "\n"
+            + "\n"
+            + "OR read the "
+            + bold_yellow(" setup_special_files_from_env.py ", nested=True)
+            + bold_red(
+                " file "
+                + "and setup the appropriate environment files yourself."
+                + "\n\nalso see the "
+                + bold_yellow("config_SAMPLE.json", nested=True,),
+                nested=True,
+            ),
+            nested=True,
+        )
+    )
+    res = run(cmd_tokens=cmd, fail_msg=missing_secrets_msg, q=Q, warn=True)
+    if res.returncode > 0:
+        if "config.json" in os.listdir(os.getcwd()):
+            # -----------------------------------------------------------------
+            # setup failed, but we can check if `config.json` is already
+            # -----------------------------------------------------------------
+            print(bold_blue("\n\nfound config.json... continuing build...\n\n"))
+        else:
+            # -----------------------------------------------------------------
+            # okay, fine. last effort to find `config.json` at root of git dir
+            # -----------------------------------------------------------------
+            cmd = "git rev-parse --show-toplevel".split(" ")
+            top_level_path = run(
+                cmd,
+                fail_msg="this is not a git directory",
+                q=Q,
+                warn=True,
+                capture_output=True,
+                qq=True,
+            )
+            assert "config.json" in os.listdir(os.getcwd()), missing_secrets_msg
+
+    # =========================================================================
+    # INSTALL THE LATEST `urllib3` for reasons
+    # =========================================================================
+    cmd = [python, "-m", "pip", "install", "--upgrade", "urllib3"]
+    res = run(cmd_tokens=cmd, fail_msg="failed to get `urllib3`", q=Q)
+
+    # =========================================================================
+    # GET THE `en_core_web_lg` SPACY MODEL
+    # TODO: consider letting people download the small/medium one...
+    # =========================================================================
+    if SKIP_SPACY_DOWNLOAD:
+        print(bold_blue("\n\nskipping spacy download...\n\n"))
+    else:
+        cmd = [python, "-m", "spacy", "download", "en_core_web_lg"]
+        res = run(cmd_tokens=cmd, fail_msg="failed to get `urllib3`", q=Q)
+
+    # =========================================================================
+    # DONE
+    # =========================================================================
+    print(bold_green("done"))
\ No newline at end of file

From 5ab8fe83957bf4f562349a9218dd5ea5ec850a4c Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 10:25:08 -0700
Subject: [PATCH 206/272] comment scripts

---
 deploy.sh             | 4 ++++
 download_nlp_stuff.sh | 7 +++++--
 gce_deploy.sh         | 4 ++++
 gunicorn_config.py    | 7 +++++++
 4 files changed, 20 insertions(+), 2 deletions(-)

diff --git a/deploy.sh b/deploy.sh
index 55eda8d..59c4040 100755
--- a/deploy.sh
+++ b/deploy.sh
@@ -1,4 +1,8 @@
 #!/bin/bash
+#
+# This script will build and deploy using gunicorn locally, without docker.
+#
+#
 python3 setup_special_files_from_env.py
 ./download_nlp_stuff.sh
 python3 download_nltk_stuff.py
diff --git a/download_nlp_stuff.sh b/download_nlp_stuff.sh
index a6bef1e..230a0b1 100755
--- a/download_nlp_stuff.sh
+++ b/download_nlp_stuff.sh
@@ -1,2 +1,5 @@
-python3 -m spacy download en_core_web_sm
-python3 download_nltk_stuff.py
+#
+# This script will download NLP stuff.
+#
+#
+python3 -m spacy download en_core_web_sm
\ No newline at end of file
diff --git a/gce_deploy.sh b/gce_deploy.sh
index da13b31..1b12e6f 100644
--- a/gce_deploy.sh
+++ b/gce_deploy.sh
@@ -1,4 +1,8 @@
 #!/bin/bash
+#
+# This script manually deploys to Google Compute Engine
+#
+#
 
 export GITHUB_SHA=`git rev-parse HEAD`
 
diff --git a/gunicorn_config.py b/gunicorn_config.py
index ccc315e..ab06834 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -1,3 +1,10 @@
+#!/usr/bin/env python3
+
+"""
+This python script will initialize variables
+to configure Gunicorn workers that support the Flask API server.
+"""
+
 from os import environ
 import multiprocessing
 

From 2c6eb9c4bbc91d878e530ff27e9e4c426a21e800 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 10:26:30 -0700
Subject: [PATCH 207/272] remove dead code

---
 Dockerfile | 36 +++++++-----------------------------
 1 file changed, 7 insertions(+), 29 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index cfb1bbb..99fcc22 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,21 +1,16 @@
-# FROM python:3.6-stretch
-# FROM python:3.8-buster  # needs pip install numpy
-# FROM python:3.7-stretch
 FROM ubuntu:latest
 
-
 # the chmod will
 # resolve PermissionError on heroku
 # more context in issue #100
 # TODO: make chmod less insecure by only setting needed permissions
-ENV DEBIAN_FRONTEND=noninteractive 
+ENV DEBIAN_FRONTEND=noninteractive
 RUN apt-get update \
   && apt-get install -y python3-pip python3-dev certbot cron git \
   && cd /usr/local/bin \
   && ln -s /usr/bin/python3 python \
   && pip3 install --upgrade pip \
-  && chmod 777 /usr/lib/python3/dist-packages/* 
-
+  && chmod 777 /usr/lib/python3/dist-packages/*
 
 # verify permissions set
 RUN ls -lah /usr/lib/python3/dist-packages/
@@ -30,18 +25,11 @@ RUN pip3 install -r /nimbus/requirements.txt \
 # verify permissions set
 RUN ls -lah /usr/lib/python3/dist-packages/
 
-# This will cause us to be rate limited after 5 deploys per week - commenting out for now.
-# RUN certbot certonly -d nimbus.api.calpolycsai.com -n --standalone --agree-tos --email cpcsai.nimbus@gmail.com
-
 # put all the code into nimbus folder
 ADD . /nimbus
 
-# # https://devcenter.heroku.com/articles/container-registry-and-runtime#unsupported-dockerfile-commands
-# # Expose is NOT supported by Heroku
-
 EXPOSE 443:443
 
-
 # need to declare the --build-arg that gets passed in
 # for ENV to work properly
 ARG DATABASE_HOSTNAME
@@ -58,7 +46,7 @@ ARG GIT_SSH_CERT
 ARG PORT
 
 
-# env variables needed for the setup...py
+# env variables needed for the setup_special_files_from_env.py
 ENV DATABASE_HOSTNAME ${DATABASE_HOSTNAME}
 ENV DATABASE_PASSWORD ${DATABASE_PASSWORD}
 ENV DATABASE_USERNAME ${DATABASE_USERNAME}
@@ -73,26 +61,16 @@ ENV GIT_SSH_CERT ${GIT_SSH_CERT}
 ENV PORT ${PORT}
 
 
-# need set WORKDIR for setup...py to save config.json to right place
+# need set WORKDIR for setup_special_files_from_env.py to save config.json to right place
 WORKDIR /nimbus
 
 # generate all the special configuration files
 RUN ./setup_special_files_from_env.py
 
-## download the nlp stuff
-# RUN ./download_nlp_stuff.sh
-#
-## download the nltk stuff
-# RUN python3 download_nltk_stuff.py
-
-# the above "download..." scripts were inconsistent on herkou
-# so lets download the required stuff directly
-RUN python -m pip install --upgrade urllib3 && python3 -m spacy download en_core_web_sm
+RUN python -m pip install --upgrade urllib3
 
-# TODO: consider en_core_web_lg or en_core_web_md because server can handle it
-# RUN python3 -m spacy download en_core_web_lg
-RUN python3 -m nltk.downloader punkt
-RUN python3 -m nltk.downloader averaged_perceptron_tagger 
+# go en_core_web_lg "big" or go home xD
+RUN python3 -m spacy download en_core_web_lg
 
 # just make sure the file is there
 RUN ls | grep config

From 781716da8c25c1a99e8a3e265c4f77992d8cce83 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 10:35:29 -0700
Subject: [PATCH 208/272] whoops, that could've been a bug

---
 build.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build.py b/build.py
index 3539096..d674c7a 100755
--- a/build.py
+++ b/build.py
@@ -60,7 +60,7 @@ def run(
     stdout = subprocess.DEVNULL if q else None  # default STDOUT
     stderr = subprocess.DEVNULL if q else None  # default STDERR
     stdout = subprocess.PIPE if capture_output else stdout
-    res = subprocess.run(cmd, stdout=stdout, stderr=stdout)
+    res = subprocess.run(cmd_tokens, stdout=stdout, stderr=stdout)
     if skip_assert:
         return res.stdout.decode("utf-8").strip() if capture_output else res
     else:

From 3d8984d4ffac7921842b22b24132e64dccde5c3f Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 10:44:50 -0700
Subject: [PATCH 209/272] a cleaner 'running...' printout

---
 build.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/build.py b/build.py
index d674c7a..6ce6ffe 100755
--- a/build.py
+++ b/build.py
@@ -53,8 +53,11 @@ def run(
     capture_output=False,
     qq=False,
 ):
+    # print(os.path.split(cmd_tokens[0:1])[1] + cmd_tokens[1:])
+    fname = os.path.split(cmd_tokens[0])[1]
+    args = cmd_tokens[1:]
     run_msg = run_msg or bold_blue(
-        "\nrunning... " + " ".join(cmd_tokens) + "\n", nested=True
+        "\nrunning... " + " ".join([fname] + args) + "\n", nested=True
     )
     print(run_msg) if not qq else None
     stdout = subprocess.DEVNULL if q else None  # default STDOUT
@@ -236,4 +239,4 @@ def reset_color(s, *args, **kwargs):
     # =========================================================================
     # DONE
     # =========================================================================
-    print(bold_green("done"))
\ No newline at end of file
+    print(bold_green("done"))

From 265057da56d7834b3d31145d35a6e0f62f6d5113 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 11:33:32 -0700
Subject: [PATCH 210/272] comments && a --no-overwrite-secrets flag

make the setup file a lot easier to skim through with whitespace && sections

another parser.add_argument in the build.py

parser.add_argument for setup script too
---
 build.py                        | 11 ++++-
 setup_special_files_from_env.py | 71 +++++++++++++++++++++++++++++++--
 2 files changed, 78 insertions(+), 4 deletions(-)

diff --git a/build.py b/build.py
index 6ce6ffe..495aa83 100755
--- a/build.py
+++ b/build.py
@@ -96,9 +96,15 @@ def run(
         action="store_true",
         help="optionally skip the download of spacy's `en_core_web_lg` model (default: False).",
     )
+    parser.add_argument(
+        "--no-overwrite-secrets",
+        action="store_true",
+        help="optionally avoid passing in --overwrite-all into setup_special_files_from_env (default: False).",
+    )
     args = parser.parse_args()
     Q = args.quiet
     SKIP_SPACY_DOWNLOAD = args.skip_spacy_download
+    NO_OVERWRITE_SECRETS = args.no_overwrite_secrets
 
     # =========================================================================
     # GET THE CURRENTLY RUNNING PYTHON EXECUTABLE PATH
@@ -174,7 +180,10 @@ def reset_color(s, *args, **kwargs):
     # =========================================================================
     # SETUP THE SPECIAL/SECRET FILES
     # =========================================================================
-    cmd = [python, "setup_special_files_from_env.py"]
+    if NO_OVERWRITE_SECRETS:
+        cmd = [python, "setup_special_files_from_env.py"]
+    else:
+        cmd = [python, "setup_special_files_from_env.py", "--overwrite-all"]
     missing_secrets_msg = (
         bold_red(
             "failed to setup special files" + "\n\n" + "you need the ", nested=True
diff --git a/setup_special_files_from_env.py b/setup_special_files_from_env.py
index 6435fb6..fd10f87 100755
--- a/setup_special_files_from_env.py
+++ b/setup_special_files_from_env.py
@@ -1,8 +1,25 @@
 #!/usr/bin/env python3
-from os import environ, chmod
+from os import environ, chmod, listdir
 import json
 from utilities import yaml_utils  # noqa
-
+import argparse
+
+# =============================================================================
+#  GET THE COMMAND LINE ARGUMENTS
+# =============================================================================
+parser = argparse.ArgumentParser(description="Setup Special Files From Environment.")
+parser.add_argument(
+    "--overwrite-all",
+    action="store_true",
+    help="optionally overwrite all the existing files, if exist (default: False).",
+)
+args = parser.parse_args()
+OVERWRITE_ALL = args.overwrite_all
+
+
+# =============================================================================
+# GLOBAL VARIABLES
+# =============================================================================
 # NimbusDatabase stuff
 SAMPLE_CONFIG_FILE = "config.json_SAMPLE"
 CONFIG_FILE = "config.json"
@@ -23,7 +40,35 @@
 GOOGLE_CLOUD_NLP_CREDENTIALS_FILE = "auth.json"
 GOOGLE_CLOUD_NLP_CREDENTIALS_KEY = "GOOGLE_CLOUD_NLP_CREDENTIALS"
 
-BAD_CONFIG_MSG = "uh oh, config vars not set, check heroku settings"
+SPECIAL_FILES = [
+    CONFIG_FILE,
+    PYDRIVE_FILE,
+    PYDRIVE_FOLDER_ID_FILE,
+    GOOGLE_DRIVE_FOLDER_ID_FILE,
+    GOOGLE_DRIVE_CREDENTIALS_FILE,
+]
+
+
+# =============================================================================
+# SKIP SCRIPT IF FILES EXIST, ELSE CONTINUE
+# * optionally provide in `--overwrite-all` flag
+# =============================================================================
+if OVERWRITE_ALL:
+    pass
+else:
+    for fname in SPECIAL_FILES:
+        if fname in listdir():
+            print(f"\n\nFOUND a file {fname}\n\n")
+            print(
+                "\nif you dont care about it, call this script again with `--overwrite-all`\n\n"
+            )
+            exit(1)
+
+
+# =============================================================================
+# ASSERTIONS
+# =============================================================================
+BAD_CONFIG_MSG = "uh oh, config vars not set, ask a Nimbus maintainer/admin for help."
 assert environ.get("DATABASE_HOSTNAME", None) is not None, BAD_CONFIG_MSG
 assert environ.get("DATABASE_PASSWORD", None) is not None, BAD_CONFIG_MSG
 assert environ.get("DATABASE_USERNAME", None) is not None, BAD_CONFIG_MSG
@@ -50,6 +95,9 @@
 assert environ.get("GOOGLE_CLOUD_NLP_MODEL_NAME", None) != "", BAD_CONFIG_MSG_2
 
 
+# =============================================================================
+# MAKE THE `config.json` dictionary
+# =============================================================================
 # This dictionary should look exactly like the `SAMPLE_CONFIG_FILE`
 # it contains everything we could possibly neeed
 config = {
@@ -72,13 +120,19 @@
 }
 
 
+# =============================================================================
 # save the CONFIG_FILE
+# =============================================================================
 with open(CONFIG_FILE, "w") as json_file:
     json.dump(config, json_file)
 
 
+# =============================================================================
+# MAKE THE pydrive_yaml dictionary
+#
 # TODO: consider ENV variable for pydrive's `save_credentials_file`
 #       in case the name changes due to conflict with other google credentials
+# =============================================================================
 pydrive_yaml = {
     "client_config_backend": "settings",
     "client_config": {
@@ -98,22 +152,31 @@
 }
 
 
+# =============================================================================
 # save the PYDRIVE_FILE
+# =============================================================================
 yaml_utils.dump_yaml(pydrive_yaml, PYDRIVE_FILE)
 
 
+# =============================================================================
 # save the GOOGLE_DRIVE_FOLDER_ID_FILE
+# =============================================================================
 with open(GOOGLE_DRIVE_FOLDER_ID_FILE, "w") as f:
     f.write(config[GOOGLE_DRIVE_FOLDER_ID_KEY])
 
+
+# =============================================================================
 # save the ssh certificates to the correct directory
+# =============================================================================
 if environ.get("GIT_SSH_CERT") is not None:
     with open(SSH_CERT_FILE, "w") as f:
         f.write(environ["GIT_SSH_CERT"])
         chmod(SSH_CERT_FILE, 0o0600)
 
 
+# =============================================================================
 # save the GOOGLE_DRIVE_CREDENTIALS_FILE
+# =============================================================================
 with open(GOOGLE_DRIVE_CREDENTIALS_FILE, "w") as credentials_json_file:
     # load the credentials_json from the config dict which has everything
     credentials_json = json.loads(config[GOOGLE_DRIVE_CREDENTIALS_KEY])
@@ -121,7 +184,9 @@
     json.dump(credentials_json, credentials_json_file)
 
 
+# =============================================================================
 # save the GOOGLE_CLOUD_NLP_CREDENTIALS_FILE
+# =============================================================================
 with open(GOOGLE_CLOUD_NLP_CREDENTIALS_FILE, "w") as auth_json_file:
     # load the auth_json from the config dict which has everything
     auth_json = json.loads(config[GOOGLE_CLOUD_NLP_CREDENTIALS_KEY])

From 593443705f6d94e58ed9edf6c2535de2f94b7cca Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 12:19:15 -0700
Subject: [PATCH 211/272] specify certificate files config in Dockerfile only

---
 Dockerfile         | 13 ++++++++++---
 gunicorn_config.py |  3 ---
 2 files changed, 10 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 99fcc22..a5de630 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,3 +1,6 @@
+#
+# This Dockerfile will configure the environment for Google Compute Engine
+#
 FROM ubuntu:latest
 
 # the chmod will
@@ -84,8 +87,12 @@ RUN ls -lah /usr/lib/python3/dist-packages/
 # setup SSH keys correctly
 RUN /nimbus/setup_letsencrypt.sh
 
-# https://github.com/heroku/alpinehelloworld/blob/master/Dockerfile
-# Heroku will set the PORT environment variable
 # the gunicorn_config.py will check the env vars for PORT
 # else it will do port=8080
-CMD ["gunicorn", "flask_api:app", "--config=gunicorn_config.py"]
+CMD ["gunicorn", \
+  "flask_api:app", \
+  "--config=gunicorn_config.py", \
+  "--keyfile=/etc/letsencrypt/live/nimbus.api.calpolycsai.com/privkey.pem", \
+  "--certfile=/etc/letsencrypt/live/nimbus.api.calpolycsai.com/cert.pem", \
+  "--ca-certs=/etc/letsencrypt/live/nimbus.api.calpolycsai.com/chain.pem" \
+  ]
diff --git a/gunicorn_config.py b/gunicorn_config.py
index ab06834..d5fcee5 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -18,6 +18,3 @@
 # We have 1 core, so 1 * 2 + 1 = 3
 workers = 3
 timeout = 90
-keyfile = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/privkey.pem"
-certfile = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/cert.pem"
-ca_certs = "/etc/letsencrypt/live/nimbus.api.calpolycsai.com/chain.pem"

From 222257d66ffee05c0a958a5d0b81c557ab7e1437 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 12:30:22 -0700
Subject: [PATCH 212/272] make sure root route always return SUCCESS for health
 check

https://render.com/docs/zero-downtime-deploys
---
 flask_api.py | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 01f21d7..07ca702 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -78,15 +78,17 @@ def init_nimbus_db():
             nimbus - Nimbus(db)
 
 
-@app.route("/", methods=["GET", "POST"])
+@app.route("/")
 def hello():
+    """
+    always return SUCCESS (200) code on this route, to serve as a health check.
+    """
     if request.method == "POST":
         request_body = request.get_json()
-        return jsonify({"you sent": request_body})
+        return jsonify({"you sent": request_body}), SUCCESS
     else:
-        response_code = 42
         response_json = jsonify({"name": "hello {}".format(str(app))})
-        return response_json, response_code
+        return response_json, SUCCESS
 
 
 def generate_session_token() -> str:

From 9ea2828f039b6ceda8d327e33477341694364ea6 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 12:42:35 -0700
Subject: [PATCH 213/272] oops almost forgot colorama

---
 build.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build.py b/build.py
index 495aa83..775d879 100755
--- a/build.py
+++ b/build.py
@@ -118,7 +118,7 @@ def run(
         # ---------------------------------------------------------------------
         # install some nice-to-have terminal color packages
         # ---------------------------------------------------------------------
-        cmd = [python, "-m", "pip", "install", "colorful", "termcolor", "ansicolors"]
+        cmd = [python, "-m", "pip", "install", "colorful", "termcolor", "ansicolors", "colorama"]
         run(cmd, fail_msg="oops color packages failed to install. that's ok.", q=Q)
         from colorama import init
         import colorful as cf

From 71c2175ac6f77bc2214686fc1d7ca0d641f51f7b Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 12:51:19 -0700
Subject: [PATCH 214/272] delete dead scripts

---
 db_wrapper.py          | 169 -----------------------------------------
 demo.py                |  17 -----
 download_nlp_stuff.sh  |   5 --
 download_nltk_stuff.py |   5 --
 nimbus-config-secrets  |   1 -
 5 files changed, 197 deletions(-)
 delete mode 100755 db_wrapper.py
 delete mode 100644 demo.py
 delete mode 100755 download_nlp_stuff.sh
 delete mode 100644 download_nltk_stuff.py
 delete mode 160000 nimbus-config-secrets

diff --git a/db_wrapper.py b/db_wrapper.py
deleted file mode 100755
index 60e6810..0000000
--- a/db_wrapper.py
+++ /dev/null
@@ -1,169 +0,0 @@
-#!/usr/bin/env python3
-import mysql.connector as m
-from os.path import join
-from db_config_sample import CONFIG
-import time
-
-
-def connect():
-    cxn = m.connect(host=CONFIG["host"], user=CONFIG["user"], passwd=CONFIG["password"])
-    return cxn
-
-
-def get_databases(cxn):
-    """
-    Args:
-        cxn: the MySQL database connection object
-    Returns:
-        a tuple of strings of database names
-    """
-    cursor = cxn.cursor()
-    cursor.execute("SHOW DATABASES")
-    # cursor.fetchall() returns a list of singleton tuples
-    tups = cursor.fetchall()
-    cursor.close()
-    return [x[0] for x in tups]
-
-
-def get_tables(cxn, database_name):
-    """
-    Args:
-        cxn: the MySQL database connection object
-        database_name: the name of the database to get tables from
-    Returns:
-        a tuple of strings of database names
-    """
-    acceptable_list = ["dev"]
-    assert database_name in acceptable_list, "unexpected database_name"
-
-    cursor = cxn.cursor()
-    cursor.execute("use " + database_name)
-    cursor.execute("show tables")
-    # cursor.fetchall() returns a list of singleton tuples
-    tups = cursor.fetchall()
-    cursor.close()
-    return [x[0] for x in tups]
-
-
-def run_create_script(cxn, filename):
-    """
-    Args:
-        cxn: the MySQL database connection object
-    Returns:
-        True if succeeded
-    """
-    c = cxn.cursor()
-    with open(filename, "r") as f:
-        c.execute(f.read())
-    time.sleep(2)
-    c.close()
-    return True
-
-
-def what_courses_can_i_take(cxn):
-    """Answers the ultimate question of the meaning of life the universe and everything
-    which so happens to be the same as "What courses Cal Poly offers"
-
-    Args:
-        cxn: the MySQL database connection object
-    Returns:
-        A list of course names that Cal Poly offers
-    """
-    c = cxn.cursor()
-
-    c.execute("use dev")  # TODO: make this modular
-    c.execute("SELECT courseName FROM Courses")
-    # TODO: actually return False error
-
-    tups = c.fetchall()
-
-    # close the cursor
-    c.close()
-
-    return [x[0] for x in tups]
-
-
-def courses_offered(cxn, course):
-    """ Answers the question of when can I take "X"course?
-
-    Args:
-        cxn: MySQL database connection object
-        course: the course user wants terms from. Expected format is string
-        "department courseNum"
-    Returns:
-        A list including courseName and a set of terms offered for specified course
-    """
-    c = cxn.cursor()
-
-    c.execute("use dev")
-
-    query = 'SELECT courseName, termsOffered from Courses where courseName like "%'
-    query += course + '%"'
-
-    print(query)
-    c.execute(query)
-    tups = c.fetchall()
-
-    c.close()
-
-    return tups
-
-
-def does_professor_teach_course(cxn, profLastName, profFirstName, course):
-    """ Answers the question of 'Does [Professor] teach [Course]'?
-
-    Args:
-        cxn: MySQL database connection object
-        prof: the name of the professor. If first and last name expressed, otherwise, last name
-        will be used alone
-        course: the course user wants terms from. Expected format is string
-        "department courseNum"
-    Returns:
-        A boolean
-    """
-    c = cxn.cursor()
-
-    c.execute("use dev")
-
-    query = 'SELECT c.courseName from Courses c INNER JOIN Professors p on c.Professors_id = p.id where p.lastName like "%'
-    query += profLastName + '%"'
-
-    # this can be an article of discussion for matching professor names
-    if profFirstName != "":
-        query += ' and p.firstName likel "%'
-        query += profFirstName + '%"'
-
-    query += ' and courseName like "%'
-    query += course + '%"'
-
-    print(query)
-    c.execute(query)
-    tups = c.fetchall()
-
-    c.close()
-    if len(tups) == 0:
-        return False
-    return True
-
-
-if __name__ == "__main__":
-    cxn = connect()
-
-    print("getting databases...", get_databases(cxn))
-    print("getting tables...", get_tables(cxn, "dev"))
-
-    script = join(CONFIG["sql_dir"], CONFIG["create_file"])
-
-    # print("running create script...")
-    # assert run_create_script(cxn, script) == True, "uh oh failed to create"
-
-    cxn.close()
-    cxn = connect()
-
-    print("getting tables...", get_tables(cxn, "dev"))
-
-    print(courses_offered(cxn, "CSC 357"))
-
-    print(does_professor_teach_course(cxn, "Kearns", "", "CSC 349"))
-
-    cxn.close()
diff --git a/demo.py b/demo.py
deleted file mode 100644
index 3304281..0000000
--- a/demo.py
+++ /dev/null
@@ -1,17 +0,0 @@
-#!/usr/bin/env python3
-from database_wrapper import NimbusMySQL
-
-if __name__ == "__main__":
-    db = NimbusMySQL(config_file="config.json")
-
-    ents = db.get_entities()
-
-    print("Entites:", ents)
-
-    uniq_depts = db.get_unique(entity="Courses", prop="dept")
-
-    print("Unique departments?:", uniq_depts)
-
-    bitcounts = db.get_bitcount(entity="Courses", prop="termsOffered")
-
-    print("How many terms is CSC 100 offered?:", bitcounts[0])
diff --git a/download_nlp_stuff.sh b/download_nlp_stuff.sh
deleted file mode 100755
index 230a0b1..0000000
--- a/download_nlp_stuff.sh
+++ /dev/null
@@ -1,5 +0,0 @@
-#
-# This script will download NLP stuff.
-#
-#
-python3 -m spacy download en_core_web_sm
\ No newline at end of file
diff --git a/download_nltk_stuff.py b/download_nltk_stuff.py
deleted file mode 100644
index 2768eb3..0000000
--- a/download_nltk_stuff.py
+++ /dev/null
@@ -1,5 +0,0 @@
-#!/usr/bin/env python3
-import nltk
-
-nltk.download("punkt")
-nltk.download("averaged_perceptron_tagger")
diff --git a/nimbus-config-secrets b/nimbus-config-secrets
deleted file mode 160000
index 47cbf69..0000000
--- a/nimbus-config-secrets
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 47cbf69d56d3bd2a199131714967834fe65cfe68

From 2d1f641f9eef11ac4fec468668c6a8db41351d30 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 12:53:11 -0700
Subject: [PATCH 215/272] make sure deploy just ONLY that. DEPLOY.

---
 deploy.sh | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/deploy.sh b/deploy.sh
index 59c4040..de792e1 100755
--- a/deploy.sh
+++ b/deploy.sh
@@ -1,9 +1,8 @@
 #!/bin/bash
 #
-# This script will build and deploy using gunicorn locally, without docker.
+# This script will just deploy using gunicorn locally, without docker.
 #
+# This deployment script is not concerned with SSL encryption.
+# It just gets the code running on multiple CPU processors.
 #
-python3 setup_special_files_from_env.py
-./download_nlp_stuff.sh
-python3 download_nltk_stuff.py
-gunicorn flask_api:app --config=gunicorn_config.py
+gunicorn flask_api:app --config=gunicorn_config.py
\ No newline at end of file

From ff43530d1ef915ffe59f5382cb48f034f96d7cd4 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 13:03:55 -0700
Subject: [PATCH 216/272] format & include GET THE `en_core_web_sm` SPACY MODEL

---
 build.py | 24 ++++++++++++++++++++++--
 1 file changed, 22 insertions(+), 2 deletions(-)

diff --git a/build.py b/build.py
index 775d879..3a5833d 100755
--- a/build.py
+++ b/build.py
@@ -118,7 +118,16 @@ def run(
         # ---------------------------------------------------------------------
         # install some nice-to-have terminal color packages
         # ---------------------------------------------------------------------
-        cmd = [python, "-m", "pip", "install", "colorful", "termcolor", "ansicolors", "colorama"]
+        cmd = [
+            python,
+            "-m",
+            "pip",
+            "install",
+            "colorful",
+            "termcolor",
+            "ansicolors",
+            "colorama",
+        ]
         run(cmd, fail_msg="oops color packages failed to install. that's ok.", q=Q)
         from colorama import init
         import colorful as cf
@@ -235,12 +244,23 @@ def reset_color(s, *args, **kwargs):
     cmd = [python, "-m", "pip", "install", "--upgrade", "urllib3"]
     res = run(cmd_tokens=cmd, fail_msg="failed to get `urllib3`", q=Q)
 
+    # =========================================================================
+    # GET THE `en_core_web_sm` SPACY MODEL
+    # =========================================================================
+    cmd = [python, "-m", "spacy", "download", "en_core_web_sm"]
+    res = run(cmd_tokens=cmd, fail_msg="failed to get `urllib3`", q=Q)
+
     # =========================================================================
     # GET THE `en_core_web_lg` SPACY MODEL
     # TODO: consider letting people download the small/medium one...
     # =========================================================================
     if SKIP_SPACY_DOWNLOAD:
-        print(bold_blue("\n\nskipping spacy download...\n\n"))
+        print(
+            bold_blue(
+                "\n\nskipping spacy's `en_core_web_lg` download..."
+                "\nnimbus will work with `en_core_web_sm` at least\n"
+            )
+        )
     else:
         cmd = [python, "-m", "spacy", "download", "en_core_web_lg"]
         res = run(cmd_tokens=cmd, fail_msg="failed to get `urllib3`", q=Q)

From 76ca44b356522356e8b09ee010119557295b7709 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 13:04:54 -0700
Subject: [PATCH 217/272] fix typo

---
 build.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/build.py b/build.py
index 3a5833d..8da4b7b 100755
--- a/build.py
+++ b/build.py
@@ -248,7 +248,7 @@ def reset_color(s, *args, **kwargs):
     # GET THE `en_core_web_sm` SPACY MODEL
     # =========================================================================
     cmd = [python, "-m", "spacy", "download", "en_core_web_sm"]
-    res = run(cmd_tokens=cmd, fail_msg="failed to get `urllib3`", q=Q)
+    res = run(cmd_tokens=cmd, fail_msg="failed to get `en_core_web_sm`", q=Q)
 
     # =========================================================================
     # GET THE `en_core_web_lg` SPACY MODEL
@@ -263,7 +263,7 @@ def reset_color(s, *args, **kwargs):
         )
     else:
         cmd = [python, "-m", "spacy", "download", "en_core_web_lg"]
-        res = run(cmd_tokens=cmd, fail_msg="failed to get `urllib3`", q=Q)
+        res = run(cmd_tokens=cmd, fail_msg="failed to get `en_core_web_lg`", q=Q)
 
     # =========================================================================
     # DONE

From 06074b84206a30077bc8e08c595bd616bb70b4ad Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 15:26:00 -0700
Subject: [PATCH 218/272] gce should choose SSL_PORT without affecting local
 machine choice of PORT

https://github.com/calpoly-csai/nimbus-config-secrets/commit/17129659e97c247f2fd357ade17f48021876f0f0

this way
the environment varables can be set either

1. locally via the nimbus-config-secrets repo instructions

2. in the cloud

either way the env vars will contain PORT and SSL_PORT

when deploying to GCE, the $SSL_PORT  will be chosen and passed into the docker `--build-arg`

when running `./deploy.sh` alone, the default PORT=8080 will be chosen.

this resolves any permission issues related to opening up port 443
---
 .github/workflows/gce.yaml | 8 ++++----
 Dockerfile                 | 3 +++
 gce_deploy.sh              | 2 +-
 3 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/gce.yaml b/.github/workflows/gce.yaml
index 2061d30..4217f4f 100644
--- a/.github/workflows/gce.yaml
+++ b/.github/workflows/gce.yaml
@@ -30,17 +30,17 @@ env:
   DATABASE_NAME: ${{ secrets.DATABASE_NAME }}
   PYDRIVE_CLIENT_ID: ${{ secrets.PYDRIVE_CLIENT_ID }}
   PYDRIVE_CLIENT_SECRET: ${{ secrets.PYDRIVE_CLIENT_SECRET }}
-  # in issue #67 we considered generating 
+  # in issue #67 we considered generating
   # credentials.json in a similar fashion to config.json
   # but figured that the file was unreasonably large
-  # and therefore a simple JSON string would suffice. 
+  # and therefore a simple JSON string would suffice.
   # https://github.com/calpoly-csai/api/issues/67
   GOOGLE_DRIVE_CREDENTIALS: ${{ secrets.GOOGLE_DRIVE_CREDENTIALS }}
   GOOGLE_DRIVE_FOLDER_ID: ${{ secrets.GOOGLE_DRIVE_FOLDER_ID }}
   GOOGLE_CLOUD_NLP_CREDENTIALS: ${{ secrets.GOOGLE_CLOUD_NLP_CREDENTIALS }}
   GOOGLE_CLOUD_NLP_MODEL_NAME:  ${{ secrets.GOOGLE_CLOUD_NLP_MODEL_NAME }}
   GIT_SSH_CERT: ${{secrets.GIT_SSH_CERT}}
-  PORT: ${{secrets.PORT}}
+  PORT: ${{secrets.SSL_PORT}}
 
 jobs:
   setup-build-publish-deploy:
@@ -91,7 +91,7 @@ jobs:
           --container-image=gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA \
           --project=$GCE_PROJECT
 
-    # if we don't run cleanup, the disk on google cloud will fill with old images.  
+    # if we don't run cleanup, the disk on google cloud will fill with old images.
     # run docker's prune command to cleanup old images.
     - name: Cleanup
       run: |
diff --git a/Dockerfile b/Dockerfile
index a5de630..cfeecbb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -46,6 +46,7 @@ ARG GOOGLE_DRIVE_FOLDER_ID
 ARG GOOGLE_CLOUD_NLP_CREDENTIALS
 ARG GOOGLE_CLOUD_NLP_MODEL_NAME
 ARG GIT_SSH_CERT
+# this lets you say `ENV PORT ${PORT}` below (the one within the ${...})
 ARG PORT
 
 
@@ -61,6 +62,8 @@ ENV GOOGLE_DRIVE_FOLDER_ID ${GOOGLE_DRIVE_FOLDER_ID}
 ENV GOOGLE_CLOUD_NLP_CREDENTIALS ${GOOGLE_CLOUD_NLP_CREDENTIALS}
 ENV GOOGLE_CLOUD_NLP_MODEL_NAME ${GOOGLE_CLOUD_NLP_MODEL_NAME}
 ENV GIT_SSH_CERT ${GIT_SSH_CERT}
+# gunicorn will look for PORT.
+# --build-arg PORT="$SSL_PORT" will choose `443` for production
 ENV PORT ${PORT}
 
 
diff --git a/gce_deploy.sh b/gce_deploy.sh
index 1b12e6f..07bfed7 100644
--- a/gce_deploy.sh
+++ b/gce_deploy.sh
@@ -20,7 +20,7 @@ docker build -t gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA \
           --build-arg GOOGLE_CLOUD_NLP_CREDENTIALS \
           --build-arg GOOGLE_CLOUD_NLP_MODEL_NAME \
           --build-arg GIT_SSH_CERT \
-          --build-arg PORT .
+          --build-arg PORT="$SSL_PORT" .
 
 docker push gcr.io/$GCE_PROJECT/$GCE_INSTANCE-image:$GITHUB_SHA
 

From fb4884ada750822bad0619ef23fe61b7d590fcb5 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 15:58:32 -0700
Subject: [PATCH 219/272] yaml naml calpoly-csai/nimbus-config-secrets@ac8fcb6

---
 settings.yml_SAMPLE => settings.yaml_SAMPLE | 0
 setup_special_files_from_env.py             | 4 ++--
 2 files changed, 2 insertions(+), 2 deletions(-)
 rename settings.yml_SAMPLE => settings.yaml_SAMPLE (100%)

diff --git a/settings.yml_SAMPLE b/settings.yaml_SAMPLE
similarity index 100%
rename from settings.yml_SAMPLE
rename to settings.yaml_SAMPLE
diff --git a/setup_special_files_from_env.py b/setup_special_files_from_env.py
index fd10f87..ddee6d4 100755
--- a/setup_special_files_from_env.py
+++ b/setup_special_files_from_env.py
@@ -25,8 +25,8 @@
 CONFIG_FILE = "config.json"
 
 # PYDRIVE stuff
-SAMPLE_PYDRIVE_FILE = "settings.yml_SAMPLE"
-PYDRIVE_FILE = "settings.yml"
+SAMPLE_PYDRIVE_FILE = "settings.yaml_SAMPLE"
+PYDRIVE_FILE = "settings.yaml"
 PYDRIVE_FOLDER_ID_FILE = "folder_id.txt"
 GOOGLE_DRIVE_FOLDER_ID_FILE = "folder_id.txt"
 GOOGLE_DRIVE_FOLDER_ID_KEY = "GOOGLE_DRIVE_FOLDER_ID"

From 87a14d0826d01dcd34115c4818bf11287691683f Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 16:41:45 -0700
Subject: [PATCH 220/272] Update .gitignore

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index cd940ac..eff0635 100644
--- a/.gitignore
+++ b/.gitignore
@@ -121,4 +121,5 @@ settings.yaml
 .export_env_vars
 auth.json
 settings.yml
+settings.yaml
 nimbus_api.iml
\ No newline at end of file

From 56a28434daeb4c384ff7acb159b2126bc49036a9 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 19:19:21 -0700
Subject: [PATCH 221/272] resolve failing test
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

https://github.com/calpoly-csai/api/pull/160#issuecomment-635024894

➜  api git:(mf-script-cleanup) ✗ python -m pytest
============================================= test session starts =============================================
platform darwin -- Python 3.6.8, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /Users/mfekadu/GitHub/api
plugins: pylint-0.15.0
collected 25 items

tests/test_database_wrapper.py ..................                                                       [ 72%]
tests/test_flask_api.py ......                                                                          [ 96%]
tests/test_validators.py .                                                                              [100%]

============================================= 25 passed in 2.35s ==============================================
➜  api git:(mf-script-cleanup) ✗
---
 flask_api.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/flask_api.py b/flask_api.py
index 07ca702..129bd57 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -46,6 +46,7 @@
 app = Flask(__name__)
 CORS(app)
 
+
 # NOTE:
 #   1. Flask "@app.route" decorated functions below commonly use a db or nimbus object
 #   2. Because the decorated functions can't take parameters (because they're called by
@@ -78,7 +79,7 @@ def init_nimbus_db():
             nimbus - Nimbus(db)
 
 
-@app.route("/")
+@app.route("/", methods=["GET", "POST"])
 def hello():
     """
     always return SUCCESS (200) code on this route, to serve as a health check.

From 687a4e17ea37752d25afdfc8c65053366e7f9625 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 19:50:16 -0700
Subject: [PATCH 222/272] make executable

---
 gce_deploy.sh | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 mode change 100644 => 100755 gce_deploy.sh

diff --git a/gce_deploy.sh b/gce_deploy.sh
old mode 100644
new mode 100755

From 5b32a620b88214e29399dbad33953963aeaa9eb8 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Wed, 27 May 2020 20:25:38 -0700
Subject: [PATCH 223/272] en_core_web_sm

---
 Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index cfeecbb..5d4c905 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -75,8 +75,9 @@ RUN ./setup_special_files_from_env.py
 
 RUN python -m pip install --upgrade urllib3
 
-# go en_core_web_lg "big" or go home xD
-RUN python3 -m spacy download en_core_web_lg
+# get en_core_web_sm
+RUN python3 -m spacy download en_core_web_sm
+# RUN python3 -m spacy download en_core_web_lg
 
 # just make sure the file is there
 RUN ls | grep config

From a03f71a0a2bd26443d134d5f1eeac7aa39c235b8 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Wed, 27 May 2020 20:58:25 -0700
Subject: [PATCH 224/272] database migration

---
 Entity/Corequisites.py            |   4 +-
 Entity/Corrections.py             |  10 +--
 Entity/Courses.py                 |  17 +++--
 Entity/OfficeHours.py             |  42 ++++++------
 Entity/PolyRatings.py             |   8 +--
 Entity/ProfessorSectionView.py    |  12 ++--
 Entity/Professors.py              |  27 +++++---
 Entity/Profs.py                   |  16 ++---
 Entity/Sections.py                |  13 ++--
 QA.py                             | 110 ++++++++++++++++++++++--------
 database_wrapper.py               |  64 +++++++++++------
 flask_api.py                      |  97 ++++++++++++++++++++------
 nimbus.py                         |   9 ---
 nimbus_nlp/question_classifier.py |  97 ++------------------------
 14 files changed, 289 insertions(+), 237 deletions(-)

diff --git a/Entity/Corequisites.py b/Entity/Corequisites.py
index 3b5b942..49b453a 100644
--- a/Entity/Corequisites.py
+++ b/Entity/Corequisites.py
@@ -1,5 +1,5 @@
 class Corequisites:
     def __init__(self, courseId, coreqCourse):
-        self.courseId = courseId
-        self.coreqCourse = coreqCourse
+        self.course_id = courseId
+        self.coreq_course = coreqCourse
         self.is_view = False
diff --git a/Entity/Corrections.py b/Entity/Corrections.py
index 0fb7c0e..440e7f8 100644
--- a/Entity/Corrections.py
+++ b/Entity/Corrections.py
@@ -7,9 +7,9 @@ def __init__(
         tableNameToCorrect,
         columnNameToCorrect,
     ):
-        self.correctionId = correctionId
-        self.rawText = rawText
-        self.correctionText = correctionText
-        self.tableNameToCorrect = tableNameToCorrect
-        self.columnNameToCorrect = columnNameToCorrect
+        self.correction_id = correctionId
+        self.raw_text = rawText
+        self.correction_text = correctionText
+        self.table_name_to_correct = tableNameToCorrect
+        self.column_name_to_correct = columnNameToCorrect
         self.is_view = False
\ No newline at end of file
diff --git a/Entity/Courses.py b/Entity/Courses.py
index 6fe7e4c..43e0cee 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -25,14 +25,17 @@ class Courses(Base):
     # TODO: update schema and this Courses class to follow snake_case convention
     id = Column(Integer, primary_key=True)
     dept = Column(String(5))
-    courseNum = Column(Integer)
-    termsOffered = Column(SET("F", "W", "SP", "SU", "TBD"))
+    course_num = Column(Integer)
+    terms_offered = Column(SET("F", "W", "SP", "SU", "TBD", "CR/NC", "NA"))
     units = Column(String(5))
-    courseName = Column(String(255))
-    raw_concurrent_text = Column(Text)
-    raw_recommended_text = Column(Text)
-    raw_prerequisites_text = Column(Text)
+    course_name = Column(String(255))
+    concurrent = Column(Text)
+    corequisites = Column(Text)
+    recommended = Column(Text)
+    prerequisites = Column(Text)
+    ge_areas = Column(Text)
+    desc = Column(Text)
     is_view = False
 
     def __repr__(self):
-        return "<Courses (dept={}, course_num={})>".format(self.dept, self.courseNum)
+        return "<Courses (dept={}, course_num={})>".format(self.dept, self.course_num)
diff --git a/Entity/OfficeHours.py b/Entity/OfficeHours.py
index 04a23a3..ebd685c 100644
--- a/Entity/OfficeHours.py
+++ b/Entity/OfficeHours.py
@@ -1,4 +1,4 @@
-from sqlalchemy import Column, Integer, String, Text
+from sqlalchemy import Column, Integer, Text
 from sqlalchemy.ext.declarative import declarative_base
 
 # This is the way SQLAlchemy initializes their special classes
@@ -9,30 +9,30 @@ class OfficeHours(Base):
     __tablename__ = "OfficeHours"
 
     id = Column(Integer, primary_key=True)
-    Name = Column(Text)
-    Office = Column(Text)
-    Email = Column(Text)
-    Monday = Column(Text)
-    Tuesday = Column(Text)
-    Wednesday = Column(Text)
-    Thursday = Column(Text)
-    Friday = Column(Text)
-    OfficeHours = Column(Text)
-    Phone = Column(Text)
-    Platform = Column(Text)
-    LatestQuarter = Column(Text)
+    name = Column(Text)
+    office = Column(Text)
+    email = Column(Text)
+    monday = Column(Text)
+    tuesday = Column(Text)
+    wednesday = Column(Text)
+    thursday = Column(Text)
+    friday = Column(Text)
+    office_hours = Column(Text)
+    phone = Column(Text)
+    platform = Column(Text)
+    latest_quarter = Column(Text)
     is_view = False
 
     def __repr__(self):
         return "<Office Hours (Name={}, Office={}, Email={}, Monday={}, Tuesday={}, Wednesday={}, Thursday={}, Friday={})>".format(
-            self.Name,
-            self.Office,
-            self.Email,
-            self.Monday,
-            self.Tuesday,
-            self.Wednesday,
-            self.Thursday,
-            self.Friday,
+            self.name,
+            self.office,
+            self.email,
+            self.monday,
+            self.tuesday,
+            self.wednesday,
+            self.thursday,
+            self.friday,
         )
 
 
diff --git a/Entity/PolyRatings.py b/Entity/PolyRatings.py
index 0b16e68..6042c59 100644
--- a/Entity/PolyRatings.py
+++ b/Entity/PolyRatings.py
@@ -2,9 +2,9 @@
 
 
 class PolyRating:
-    def __init__(self, id, avgRating, numRatings, Professors_id):
+    def __init__(self, id, avg_rating, num_ratings, professors_id):
         self.id = id
-        self.avgRating = avgRating
-        self.numRatings = numRatings
-        self.Professors_id = Professors_id
+        self.avg_rating = avg_rating
+        self.num_ratings = num_ratings
+        self.professors_id = professors_id
         self.is_view = False
diff --git a/Entity/ProfessorSectionView.py b/Entity/ProfessorSectionView.py
index b6b6796..c535cb5 100644
--- a/Entity/ProfessorSectionView.py
+++ b/Entity/ProfessorSectionView.py
@@ -17,10 +17,10 @@ class SectionType(enum.Enum):
 class ProfessorSectionView(Base):
     __tablename__ = "Professor_Teaches_Section"
     id_sections = Column(Integer)
-    profAliasId = Column(Integer)
+    prof_alias_id = Column(Integer)
     section_name = Column(String(255), primary_key=True)
     instructor = Column(String(255))
-    profEmailAlias = Column(String(255))
+    prof_email_alias = Column(String(255))
     title = Column(String(255))
     phone = Column(String(255))
     office = Column(String(255))
@@ -30,10 +30,10 @@ class ProfessorSectionView(Base):
     end = Column(String(255))
     location = Column(String(255))
     department = Column(String(255))
-    firstName = Column(String(50))
-    lastName = Column(String(50))
-    phoneNumber = Column(String(20))
-    researchInterests = Column(Text)
+    first_name = Column(String(50))
+    last_name = Column(String(50))
+    phone_number = Column(String(20))
+    research_interests = Column(Text)
     email = Column(String(255))
     is_view = True
 
diff --git a/Entity/Professors.py b/Entity/Professors.py
index 7f6dd1c..bce9aab 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -9,17 +9,28 @@
 class Professors(Base):
     __tablename__ = "Professors"
     id = Column(Integer, primary_key=True)
-    firstName = Column(String(50))
-    lastName = Column(String(50))
-    phoneNumber = Column(String(20))
-    researchInterests = Column(Text)
+    first_name = Column(String(50))
+    last_name = Column(String(50))
+    phone_number = Column(String(20))
+    research_interests = Column(Text)
     email = Column(String(255))
     is_view = False
 
+    def __str__(self):
+        return self.__repr__()
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
+
 
 class ProfessorsProperties(enum.Enum):
-    firstName = Professors.firstName
-    lastName = Professors.lastName
-    phoneNumber = Professors.phoneNumber
-    researchInterests = Professors.researchInterests
+    first_name = Professors.first_name
+    last_name = Professors.last_name
+    phone_number = Professors.phone_number
+    research_interests = Professors.research_interests
     email = Professors.email
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 360fb7d..23c881a 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -7,15 +7,15 @@
 
 class Profs(Base):
     __tablename__ = "Profs"
-    firstName = Column(String(50))
-    lastName = Column(String(50))
-    phoneNumber = Column(String(20))
-    researchInterests = Column(Text)
+    first_name = Column(String(50))
+    last_name = Column(String(50))
+    phone_number = Column(String(20))
+    research_interests = Column(Text)
     email = Column(String(255), primary_key=True)
-    OfficeHours = Column(Text)
-    Platform = Column(Text)
-    LatestQuarter = Column(Text)
-    Office = Column(Text)
+    office_hours = Column(Text)
+    platform = Column(Text)
+    latest_quarter = Column(Text)
+    office = Column(Text)
     department = Column(String(255))
     title = Column(String(255))
     is_view = True
diff --git a/Entity/Sections.py b/Entity/Sections.py
index e4f1609..e624200 100644
--- a/Entity/Sections.py
+++ b/Entity/Sections.py
@@ -7,11 +7,12 @@
 
 
 class SectionType(enum.Enum):
-    activity = Act = 0
-    seminar = Sem = 1
-    independent = Ind = 2
-    lab = 3
-    lecture = Lec = 4
+    NA = 0
+    activity = Act = 1
+    seminar = Sem = 2
+    independent = Ind = 3
+    lab = 4
+    lecture = Lec = 5
 
 
 class Sections(Base):
@@ -24,7 +25,7 @@ class Sections(Base):
     phone = Column(String(255))
     office = Column(String(255))
     type = Column(Enum(SectionType))
-    days = Column(SET("M", "T", "W", "R", "F"))
+    days = Column(String(255))
     start = Column(String(255))
     end = Column(String(255))
     location = Column(String(255))
diff --git a/QA.py b/QA.py
index f1247b2..668239c 100644
--- a/QA.py
+++ b/QA.py
@@ -6,6 +6,7 @@
 from Entity.Profs import Profs
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections
+from Entity.ProfessorSectionView import ProfessorSectionView
 from database_wrapper import NimbusMySQLAlchemy
 import itertools
 
@@ -21,6 +22,7 @@
     "COURSE": Courses,
     "SECRET_HIDEOUT": Locations,
     "SECTION": Sections,
+    "PROF_SECTION": ProfessorSectionView
 }
 
 
@@ -80,9 +82,15 @@ def string_sub(a_format):
     return functools.partial(_string_sub, a_format)
 
 
-def _get_property(prop: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlchemy):
+def _get_property(prop: str,
+                  table: str,
+                  extracted_info: Extracted_Vars,
+                  db: NimbusMySQLAlchemy):
     ent_string = extracted_info["normalized entity"]
-    ent = tag_lookup[extracted_info["tag"]]
+    if table is None:
+        ent = tag_lookup[extracted_info["tag"]]
+    else:
+        ent = tag_lookup[table]
     try:
         value = db.get_property_from_entity(
             prop=prop, entity=ent, identifier=ent_string
@@ -93,8 +101,36 @@ def _get_property(prop: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlch
         return {f"db_{prop}": value}
 
 
-def get_property(prop: str):
-    return functools.partial(_get_property, prop)
+def get_property(prop: str, table: str = None):
+    return functools.partial(_get_property, prop, table)
+
+
+def _get_property_list(prop: str,
+                       joiner: str,
+                       table: str,
+                       extracted_info: Extracted_Vars,
+                       db: NimbusMySQLAlchemy):
+    ent_string = extracted_info["normalized entity"]
+    if table is None:
+        ent = tag_lookup[extracted_info["tag"]]
+    else:
+        ent = tag_lookup[table]
+
+    try:
+        values = db._get_property_from_entity(
+            prop=prop, entity=ent, identifier=ent_string
+        )
+    except IndexError:
+        return {f"db_{prop}": None}
+    else:
+        exact_matches = get_all_exact_matches(values)
+        return {f"db_{prop}": _grammatical_join(exact_matches, joiner)}
+
+
+def get_property_list(prop: str,
+                      joiner: str,
+                      table: str = None):
+    return functools.partial(_get_property_list, prop, joiner, table)
 
 
 def _generic_answer_formatter(
@@ -207,39 +243,55 @@ def chain_db_access(fns: List[DB_Query]) -> DB_Query:
     return functools.partial(_chain_db_access, fns)
 
 
+def get_all_exact_matches(matches):
+    exact = matches[-1][1]
+    exact_matches = []
+    for match in reversed(matches):
+        if match[1] == exact:
+            exact_matches.append(match[2])
+    return exact_matches
+
+
 def generate_qa_pairs(qa_pairs: Tuple[str, str], db: NimbusMySQLAlchemy):
-    text_in_brackets = r"\[[^\[\]]*\]"
     qa_objs = []
     for pair in qa_pairs:
-        q = pair[0]
-        a = pair[1]
+        q, a = pair
         db_access_fns = []
-        # Find all bracketed tokens ([PROF], [COURSE..units], etc)
-        matches = re.findall(text_in_brackets, a)
-        ents = []
-        for match in matches:
-            # If match is a property
-            if ".." in match:
-                ent, prop = match[1:-1].split("..", 1)
-                db_access_fns.append(get_property(prop))
-                # "db" prefix is used to disambiguate database and entity data
-                # in _string_sub and _generic_answer_formatter. See above.
-                a = a.replace(match, "{db_" + prop + "}")
-            # If match is an entity
+        tokens = a.split()
+        for i, token in enumerate(tokens):
+            # I get errors if I don't cast token to a string here, even though str.split() should
+            # return a list of strings
+            match = re.match(r"\[(.*?)\]", str(token))
+            if not match:
+                continue
             else:
-                ents.append(match)
-        if len(ents) == 1:
-            a = a.replace(ents[0], "{ex}")
-        else:
-            for ent in ents:
-                # "ex" prefix is added for the same reason as above.
-                # Not necessary for current _string_sub function, but useful
-                # for when we extract multiple variables
-                a = a.replace(ent, "{ex_" + ent[1:-1] + "}")
+                subtokens = match.group(1).split("..")
+                # Match is an entity
+                if len(subtokens) == 1:
+                    tokens[i] = "{ex}"
+                # Match is a single-item property
+                elif len(subtokens) == 2:
+                    ent, prop = subtokens
+                    db_access_fns.append(get_property(prop))
+                    tokens[i] = "{db_" + prop + "}"
+                elif len(subtokens) == 3:
+                    ent, prop, third = subtokens
+                    if third in tag_lookup:
+                        # third is a table name
+                        db_access_fns.append(get_property(prop, third))
+                    else:
+                        # third is the string used to join the last two of a list of items
+                        db_access_fns.append(get_property_list(prop, third))
+                    tokens[i] = "{db_" + prop + "}"
+                elif len(subtokens) == 4:
+                    ent, prop, table, joiner = subtokens
+                    db_access_fns.append(get_property_list(prop, joiner, table))
+                    tokens[i] = "{db_" + prop + "}"
+
         o = QA(
             q_format=q,
             db_query=chain_db_access(db_access_fns),
-            format_answer=string_sub(a),
+            format_answer=string_sub(" ".join(tokens)),
             db=db,
         )
         qa_objs.append(o)
diff --git a/database_wrapper.py b/database_wrapper.py
index 287e414..5a6685e 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -30,7 +30,9 @@
 from Entity.Clubs import Clubs
 from Entity.Sections import Sections, SectionType
 from Entity.Profs import Profs
+from Entity.Professors import Professors
 from Entity.ProfessorSectionView import ProfessorSectionView
+from Entity.OfficeHours import OfficeHours
 
 from fuzzywuzzy import fuzz
 
@@ -48,12 +50,12 @@
 
 default_tag_column_dict = {
     Calendars: {"date"},
-    Courses: {"courseName", "courseNum", "dept"},
+    Courses: {"course_name", "course_num", "dept"},
     Locations: {"building_number", "name"},
-    Profs: {"firstName", "lastName"},
+    Profs: {"first_name", "last_name"},
     Clubs: {"club_name"},
     Sections: {"section_name"},
-    ProfessorSectionView: {"firstName", "lastName"},
+    ProfessorSectionView: {"first_name", "last_name"},
 }
 
 EXPECTED_KEYS_BY_ENTITY = {
@@ -90,13 +92,16 @@
     ],
     Courses: [
         'dept',
-        'courseNum',
-        'courseName',
+        'course_num',
+        'course_name',
         'units',
-        'raw_prerequisites_text',
-        'raw_concurrent_text',
-        'raw_recommended_text',
-        'termsOffered',
+        'prerequisites',
+        'corequisites',
+        'concurrent',
+        'recommended',
+        'terms_offered',
+        'ge_areas',
+        'desc',
     ],
     Locations: ["building_number", "name", "longitude", "latitude"],
     Sections: [
@@ -121,6 +126,13 @@
         "answer_format",
     ],
     QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
+    Professors: ["first_name",
+                 "last_name",
+                 "phone_number",
+                 "email",
+                 "research_interests",
+                 "office",
+    ]
 }
 
 
@@ -376,7 +388,9 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
         self.ProfessorSectonView = ProfessorSectionView
+        self.OfficeHours = OfficeHours
         self.QuestionAnswerPair = QuestionAnswerPair
+        self.Professors = Professors
         self.inspector = inspect(self.engine)
         self._create_database_session()
         print("initialized NimbusMySQLAlchemy")
@@ -445,11 +459,11 @@ def __safe_create(SQLAlchemy_object):
         __safe_create(self.Sections)
         __safe_create(self.Calendars)
         __safe_create(self.Courses)
-        __safe_create(self.Profs)
         __safe_create(self.AudioSampleMetaData)
         __safe_create(self.Locations)
+        __safe_create(self.OfficeHours)
         __safe_create(self.QuestionAnswerPair)
-        __safe_create(self.ProfessorSectonView)
+        __safe_create(self.Professors)
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -493,7 +507,7 @@ def partial_fuzzy_match(self, tag_value, identifier):
     def full_fuzzy_match(self, tag_value, identifier):
         return fuzz.ratio(tag_value, identifier)
 
-    def get_property_from_entity(
+    def _get_property_from_entity(
         self,
         prop: str,
         entity: UNION_ENTITIES,
@@ -528,6 +542,9 @@ def get_property_from_entity(
 
         MATCH_THRESHOLD = 80
 
+        if prop not in entity.__dict__:
+            return None
+
         # TODO: be smart by check only Professor.firstName Professor.lastName
         # TODO: only check Course.dept, Course.course_num, Course.course_name
         tag_props = []
@@ -553,7 +570,18 @@ def get_property_from_entity(
             return None
 
         sorted_results = sorted(results, key=lambda pair: pair[0])
-        return sorted_results[-1][2]
+        return sorted_results
+
+    def get_property_from_entity(self,
+        prop: str,
+        entity: UNION_ENTITIES,
+        identifier: str,
+        tag_column_map: dict = default_tag_column_dict):
+
+        props = self._get_property_from_entity(prop, entity, identifier, tag_column_map)
+        if props is None:
+            return None
+        return props[-1][2]
 
     def get_course_properties(
         self, department: str, course_num: Union[str, int]
@@ -742,7 +770,7 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
         # Ignore the last field, since it's the is_view boolean
         # Populate the entity with values from formatted_data
         for entity_field in entity_fields:
-            setattr(entity, entity_field, formatted_data[entity_field])
+            setattr(entity, entity_field, str(formatted_data[entity_field]))
 
         # Perform the actual UPDATE/INSERT
         print("Saving to database: {}...".format(entity))
@@ -880,11 +908,3 @@ def get_all_answerable_pairs(self):
         true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
 
         return true_result
-
-if __name__=="__main__":
-    db = NimbusMySQLAlchemy()
-    print(
-        db._get_property_from_entity("section_name",
-                                     ProfessorSectionView,
-                                     "Braun")
-    )
diff --git a/flask_api.py b/flask_api.py
index b558d04..b473a4a 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -8,12 +8,15 @@
 from flask_cors import CORS
 from pydrive.auth import GoogleAuth
 from pydrive.drive import GoogleDrive
+import json
 
 import gunicorn_config
 from Entity.Calendars import Calendars
 from Entity.Clubs import Clubs
 from Entity.Courses import Courses
 from Entity.Locations import Locations
+from Entity.Sections import Sections
+from Entity.Professors import Professors
 from database_wrapper import (
     BadDictionaryKeyError,
     BadDictionaryValueError,
@@ -108,6 +111,7 @@ def handle_question():
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
 
+    initializeNimbus()
     response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:
@@ -168,7 +172,7 @@ def save_office_hours():
     """
     initializeDB()
 
-    data = request.get_json()
+    data = json.loads(request.get_json())
     for professor in data:
         try:
             process_office_hours(data[professor], db)
@@ -190,7 +194,7 @@ def save_office_hours():
 @app.route("/new_data/phrase", methods=["POST"])
 def save_query_phrase():
     validator = PhrasesValidator()
-    data = request.get_json()
+    data = json.loads(request.get_json())
     try:
         issues = validator.validate(data)
     except:
@@ -225,7 +229,7 @@ def save_query_phrase():
 @app.route("/new_data/feedback", methods=["POST"])
 def save_feedback():
     validator = FeedbackValidator()
-    data = request.get_json()
+    data = json.loads(request.get_json())
     try:
         issues = validator.validate(data)
     except:
@@ -262,12 +266,12 @@ def save_courses():
     """
     Persists list of courses
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     initializeDB()
 
     for course in data["courses"]:
         try:
-            db.update_entity(Courses, course, ['dept', 'courseNum'])
+            db.update_entity(Courses, course, ['dept', 'course_num'])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -282,13 +286,37 @@ def save_courses():
 
     return "SUCCESS"
 
+@app.route("/new_data/sections", methods=["POST"])
+def save_sections():
+    """
+    Persists list of sections
+    """
+    data = json.loads(request.get_json())
+    initializeDB()
+
+    for section in data["sections"]:
+        try:
+            db.update_entity(Sections, section, ["section_name"])
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
 
 @app.route("/new_data/clubs", methods=["POST"])
 def save_clubs():
     """
     Persists list of clubs
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     initializeDB()
 
     for club in data["clubs"]:
@@ -314,7 +342,7 @@ def save_locations():
     """
     Persists list of locations
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     initializeDB()
 
     for location in data["locations"]:
@@ -335,12 +363,39 @@ def save_locations():
     return "SUCCESS"
 
 
+@app.route("/new_data/professors", methods=["POST"])
+def save_professors():
+    """
+    Persists a list of professors
+    """
+    data = json.loads(request.get_json())
+    initializeDB()
+
+    for prof in data["professors"]:
+        try:
+            print("PROF:", prof)
+            db.update_entity(Professors, prof, ["email"])
+        except BadDictionaryKeyError as e:
+            return str(e), BAD_REQUEST
+        except BadDictionaryValueError as e:
+            return str(e), BAD_REQUEST
+        except NimbusDatabaseError as e:
+            return str(e), BAD_REQUEST
+        except Exception as e:
+            # TODO: consider security tradeoff of displaying internal server errors
+            #       versus development time (being able to see errors quickly)
+            # HINT: security always wins
+            raise e
+
+    return "SUCCESS"
+
+
 @app.route("/new_data/calendars", methods=["POST"])
 def save_calendars():
     """
     Persists list of calendars
     """
-    data = request.get_json()
+    data = json.loads(request.get_json())
     initializeDB()
 
     for calendar in data["calendars"]:
@@ -445,18 +500,18 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
 
     # Generate the data structure for the database entry
     sql_data = {
-        "Name": last_name + ", " + first_name,
-        "LastName": last_name,
-        "FirstName": first_name,
-        "Office": current_prof["Office"],
-        "Phone": current_prof["Phone"],
-        "Email": current_prof["Email"],
-        "Monday": current_prof["Monday"],
-        "Tuesday": current_prof["Tuesday"],
-        "Wednesday": current_prof["Wednesday"],
-        "Thursday": current_prof["Thursday"],
-        "Friday": current_prof["Friday"],
-        "OfficeHours": office_hours,
+        "name": last_name + ", " + first_name,
+        "last_name": last_name,
+        "first_name": first_name,
+        "office": current_prof["Office"],
+        "phone": current_prof["Phone"],
+        "email": current_prof["Email"],
+        "monday": current_prof["Monday"],
+        "tuesday": current_prof["Tuesday"],
+        "wednesday": current_prof["Wednesday"],
+        "thursday": current_prof["Thursday"],
+        "friday": current_prof["Friday"],
+        "office_hours": office_hours,
     }
 
     # Update the entity properties if the entity already exists
@@ -512,5 +567,7 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
+    db = NimbusMySQLAlchemy();
+    db._create_all_tables();
     app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
             port=gunicorn_config.PORT)
\ No newline at end of file
diff --git a/nimbus.py b/nimbus.py
index 8e7275d..98dca58 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -64,12 +64,3 @@ def predict_question(self, question):
         )
 
         return nlp_props
-
-
-if __name__ == "__main__":
-    ve = VariableExtractor()
-    db = NimbusMySQLAlchemy()
-    qa_pairs = db.get_all_answerable_pairs()
-    qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
-    extracted = ve.extract_variables("How do I zoom Dr. Khosmood?")
-    print(qa_dict["How do I zoom [PROF]?"].answer(extracted))
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 846ce27..19bcdc3 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -11,101 +11,22 @@
 
 
 class QuestionClassifier:
-    def __init__(self, db, file_path="question_set_clean.csv"):
+    def __init__(self, db):
         self.db = db
         self.classifier = None
         self.nlp = spacy.load('en_core_web_sm')
         self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
         self.overall_features = {}
 
-    def train_model(self):
-        self.classifier = self.build_question_classifier()
+    def train_model(self, question_pairs: Tuple[str, str]):
+        self.classifier = self.build_question_classifier(question_pairs)
         save_model(self.classifier, "nlp-model")
 
-
     def load_latest_classifier(self):
         self.classifier = load_latest_model()
         with open(PROJECT_DIR+ '/models/features/overall_features.json', 'r') as fp:
             self.overall_features = json.load(fp)
 
-    def get_question_features(self, question):
-        # print("using new algorithm")
-        """
-        Method to extract features from each individual question.
-        """
-        features = {}
-
-        # Extract the main verb from the question before additional processing
-        main_verb = str(self.extract_main_verb(question))
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-
-        filtered_words = self.get_lemmas(words)
-
-        # ADD THE LEMMATIZED MAIN VERB TO THE FEATURE SET WITH A WEIGHT OF 60
-        stemmed_main_verb = self.nlp(main_verb)[0]
-        features[stemmed_main_verb.text] = 60
-
-        # TAG WORDS' PART OF SPEECH, AND ADD ALL WH WORDS TO FEATURE DICT
-        # WITH WEIGHT 60
-        words_pos = nltk.pos_tag(filtered_words)
-        for word_pos in words_pos:
-            if self.is_wh_word(word_pos[1]):
-                features[word_pos[0]] = 60
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            # ADD EACH WORD NOT ALREADY PRESENT IN FEATURE SET WITH WEIGHT OF 30
-            if word not in features:
-                features[word] = 30
-
-        return features
-
-    def get_question_features_old_algorithm(self, question):
-        print("using old algorithm....")
-        """
-            Method to extract features from each individual question.
-            """
-        features = {}
-
-        # ADD ALL VARIABLES TO THE FEATURE DICT WITH A WEIGHT OF 90
-        matches = re.findall(r'(\[(.*?)\])', question)
-        for match in matches:
-            question = question.replace(match[0], '')
-            features[match[0]] = 90
-        question = re.sub('[^a-zA-Z0-9]', ' ', question)
-
-        # PRE-PROCESSING: TOKENIZE SENTENCE, AND LOWER AND STEM EACH WORD
-        words = nltk.word_tokenize(question)
-        words = [word.lower() for word in words if '[' and ']' not in word]
-        filtered_words = self.get_lemmas(words)
-
-        # ADD FIRST WORD AND NON-STOP WORDS TO FEATURE DICT
-        features[filtered_words[0]] = 60
-        filtered_words = [
-            word for word in filtered_words if word not in nltk.corpus.stopwords.words('english')]
-        for word in filtered_words:
-            features[word] = 30
-
-        return features
-
-        # Disable named entity recognition for speed
-        self.nlp = spacy.load("en_core_web_sm", disable=["ner"])
-        self.WH_WORDS = {"WDT", "WP", "WP$", "WRB"}
-        self.overall_features = {}
-
     # Added question pairs as a parameter to remove database_wrapper as a dependency
     # Including database_wrapper introduces circular dependencies
     def build_question_classifier(self, question_pairs: Tuple[str, str]):
@@ -215,13 +136,9 @@ def classify_question(self, question):
         # Cast to string because the classifier returns a numpy.str_, which causes issues
         # with the validate_wh function below.
         predicted_question = str(self.classifier.predict(test_vector)[0])
-        wh_words_match = self.validate_wh(doc, predicted_question)
-
-        if not wh_words_match:
-            return "WH Words Don't Match"
+        # wh_words_match = self.validate_wh(doc, predicted_question)
+        #
+        # if not wh_words_match:
+        #     return "WH Words Don't Match"
 
         return predicted_question
-
-
-
-

From ff0540842b1617dd56d7278dcac64f922e1d4306 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Wed, 27 May 2020 21:44:30 -0700
Subject: [PATCH 225/272] database migration 2

---
 database_wrapper.py                            |   7 +++----
 flask_api.py                                   |   3 ---
 nimbus.py                                      |   9 ++-------
 .../nlp-model_05_27_2020_21_16_37.pkl          | Bin 0 -> 427009 bytes
 .../nlp-model_05_27_2020_21_31_37.pkl          | Bin 0 -> 423009 bytes
 .../models/features/overall_features.json      |   2 +-
 6 files changed, 6 insertions(+), 15 deletions(-)
 create mode 100644 nimbus_nlp/models/classification/nlp-model_05_27_2020_21_16_37.pkl
 create mode 100644 nimbus_nlp/models/classification/nlp-model_05_27_2020_21_31_37.pkl

diff --git a/database_wrapper.py b/database_wrapper.py
index adcdbc1..c0a7a63 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -545,9 +545,7 @@ def _get_property_from_entity(
 
         MATCH_THRESHOLD = 80
 
-        if prop not in entity.__dict__:
-            return None
-
+        identifier = identifier.lower()
         # TODO: be smart by check only Professor.firstName Professor.lastName
         # TODO: only check Course.dept, Course.course_num, Course.course_name
         tag_props = []
@@ -562,7 +560,7 @@ def _get_property_from_entity(
             tags = []
             for tag_prop in tag_props:
                 total_similarity += self.full_fuzzy_match(
-                    str(row.__dict__[tag_prop]), identifier
+                    str(row.__dict__[tag_prop]).lower(), identifier
                 )
                 tags.append(str(row.__dict__[tag_prop]))
 
@@ -573,6 +571,7 @@ def _get_property_from_entity(
             return None
 
         sorted_results = sorted(results, key=lambda pair: pair[0])
+        print(sorted_results)
         return sorted_results
 
     def get_property_from_entity(self,
diff --git a/flask_api.py b/flask_api.py
index 34962b4..b32e2e9 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -119,7 +119,6 @@ def handle_question():
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
 
-    init_nimbus_db()
     response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:
@@ -591,7 +590,5 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    db = NimbusMySQLAlchemy();
-    db._create_all_tables();
     app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
             port=gunicorn_config.PORT)
\ No newline at end of file
diff --git a/nimbus.py b/nimbus.py
index df07795..70e8b28 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -73,11 +73,6 @@ def predict_question(self, question):
 
 
 if __name__ == "__main__":
-    ve = VariableExtractor()
     db = NimbusMySQLAlchemy()
-    qa_pairs = db.get_all_answerable_pairs()
-    qa_pairs.append(("What sections does [PROF] teach?",
-                     "[PROF] teaches [PROF..section_name..PROF_SECTION..and]."))
-    qa_dict = create_qa_mapping(generate_qa_pairs(qa_pairs, db))
-    extracted = ve.extract_variables("What sections does Khosmood teach?")
-    print(qa_dict["What sections does [PROF] teach?"].answer(extracted))
+    qc = QuestionClassifier(db)
+    qc.train_model()
diff --git a/nimbus_nlp/models/classification/nlp-model_05_27_2020_21_16_37.pkl b/nimbus_nlp/models/classification/nlp-model_05_27_2020_21_16_37.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..2013e6369077c11cbbc939f77b93124b06521d55
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diff --git a/nimbus_nlp/models/classification/nlp-model_05_27_2020_21_31_37.pkl b/nimbus_nlp/models/classification/nlp-model_05_27_2020_21_31_37.pkl
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diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index 17e2b67..c5de3a3 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1 +1 @@
-{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preqs": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "research": 0, "area": 0, "email": 0, "phone": 0, "interest": 0, "interested": 0, "contact": 0, "information": 0, "reach": 0, "office": 0, "room": 0, "find": 0, "website": 0, "personal": 0, "home": 0, "page": 0, "address": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "building": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "chief": 0, "adviser": 0, "usually": 0, "currently": 0, "good": 0, "teach": 0, "advisor": 0, "build": 0, "in": 0, "event": 0, "week": 0, "platform": 0, "hour": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "not related": 0}
\ No newline at end of file
+{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preq": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "office": 0, "hour": 0, "right": 0, "later": 0, "today": 0, "tomorrow": 0, "email": 0, "phone": 0, "contact": 0, "information": 0, "reach": 0, "room": 0, "in": 0, "address": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "'s": 0, "place": 0, "find": 0, "campus": 0, "building": 0, "day": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "brief": 0, "overview": 0, "give": 0, "chief": 0, "touch": 0, "get": 0, "general": 0, "adviser": 0, "usually": 0, "currently": 0, "advisor": 0, "teaching": 0, "week": 0, "platform": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "section": 0, "teach": 0, "type": 0, "department": 0, "found": 0, "tell": 0, "student": 0, "attend": 0, "faculty": 0, "ratio": 0, "big": 0, "acre": 0, "program": 0, "bacherlor": 0, "degree": 0, "master": 0, "minor": 0, "credential": 0, "make": 0, "create": 0, "help": 0, "ask": 0, "kind": 0, "question": 0, "69": 0, "not related": 0}
\ No newline at end of file

From 9ef2e1695b9d5927dd3c7b83ffc390f00c47337a Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Wed, 27 May 2020 21:57:47 -0700
Subject: [PATCH 226/272] updated test

---
 database_wrapper.py            | 2 +-
 tests/test_database_wrapper.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index c0a7a63..fa50e9c 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -391,7 +391,7 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.Profs = Profs
         self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
-        self.ProfessorSectonView = ProfessorSectionView
+        self.ProfessorSectionView = ProfessorSectionView
         self.OfficeHours = OfficeHours
         self.QuestionAnswerPair = QuestionAnswerPair
         self.Professors = Professors
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
index fbf7e69..fbd4b1e 100644
--- a/tests/test_database_wrapper.py
+++ b/tests/test_database_wrapper.py
@@ -22,7 +22,7 @@
     "Courses",
     "Locations",
     "QuestionAnswerPair",
-    "Profs",
+    "Professors",
     "Clubs",
     "Sections",
 ]

From 49075a9477732e5df4105c30d72fb0b7c02f64e0 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Wed, 27 May 2020 22:00:50 -0700
Subject: [PATCH 227/272] deleted models

---
 .../nlp-model_05_24_2020_15_03_22.pkl          | Bin 236101 -> 0 bytes
 .../nlp-model_05_27_2020_21_16_37.pkl          | Bin 427009 -> 0 bytes
 .../nlp-model_05_27_2020_21_31_37.pkl          | Bin 423009 -> 0 bytes
 3 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_05_24_2020_15_03_22.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_05_27_2020_21_16_37.pkl
 delete mode 100644 nimbus_nlp/models/classification/nlp-model_05_27_2020_21_31_37.pkl

diff --git a/nimbus_nlp/models/classification/nlp-model_05_24_2020_15_03_22.pkl b/nimbus_nlp/models/classification/nlp-model_05_24_2020_15_03_22.pkl
deleted file mode 100644
index 7baf48b8b7b8f0c1c580479d4e02f830cf22f077..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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From 02c8ea79d176e715783e0f471659820026d9d6c7 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Wed, 27 May 2020 22:07:14 -0700
Subject: [PATCH 228/272] updated gitignore to ignore pickle files

---
 .gitignore | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index eff0635..8c1f3ca 100644
--- a/.gitignore
+++ b/.gitignore
@@ -122,4 +122,7 @@ settings.yaml
 auth.json
 settings.yml
 settings.yaml
-nimbus_api.iml
\ No newline at end of file
+nimbus_api.iml
+
+# models
+*pkl
\ No newline at end of file

From 5c8e75f9ebf2b66202177d8cc88802996e1f42d1 Mon Sep 17 00:00:00 2001
From: Cameron Toy <cameron-toy@users.noreply.github.com>
Date: Wed, 27 May 2020 22:15:20 -0700
Subject: [PATCH 229/272] re-added classification directory in
 nimbus-nlp/models

---
 nimbus_nlp/models/classification/keep | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 nimbus_nlp/models/classification/keep

diff --git a/nimbus_nlp/models/classification/keep b/nimbus_nlp/models/classification/keep
new file mode 100644
index 0000000..e69de29

From cb5384dc8e54158369f66ae6c5a2caed7ff1445f Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Wed, 27 May 2020 22:41:44 -0700
Subject: [PATCH 230/272] change joblib version

---
 requirements.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/requirements.txt b/requirements.txt
index 52c4e82..0718795 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -22,6 +22,7 @@ idna==2.6
 importlib-metadata==1.5.0
 itsdangerous==1.1.0
 Jinja2==2.11.1
+joblib==0.14.0
 MarkupSafe==1.1.1
 marshmallow==3.5.0
 mock==4.0.1

From e32444558a23d1e50a49ccfdac82c605c8a6a76f Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Wed, 27 May 2020 22:52:14 -0700
Subject: [PATCH 231/272] see what is being loaded

---
 nimbus_nlp/save_and_load_model.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
index bc6f1eb..fe8033d 100644
--- a/nimbus_nlp/save_and_load_model.py
+++ b/nimbus_nlp/save_and_load_model.py
@@ -30,4 +30,5 @@ def load_latest_model():
     train_path = PROJECT_DIR + "/models/classification/*"
     list_of_files = glob.glob(train_path)
     latest_file = max(list_of_files, key=os.path.getctime)
+    print(latest_file)
     return joblib.load(latest_file)

From 569177ba5d0a0a2bf181c8db3fa04eb04d14b89b Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Wed, 27 May 2020 23:07:49 -0700
Subject: [PATCH 232/272] changed script to find pkl file

---
 nimbus_nlp/save_and_load_model.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/nimbus_nlp/save_and_load_model.py b/nimbus_nlp/save_and_load_model.py
index fe8033d..555d2c3 100644
--- a/nimbus_nlp/save_and_load_model.py
+++ b/nimbus_nlp/save_and_load_model.py
@@ -30,5 +30,8 @@ def load_latest_model():
     train_path = PROJECT_DIR + "/models/classification/*"
     list_of_files = glob.glob(train_path)
     latest_file = max(list_of_files, key=os.path.getctime)
-    print(latest_file)
-    return joblib.load(latest_file)
+    filename, file_extension = os.path.splitext(latest_file)
+    if file_extension != ".pkl":
+        raise ValueError
+    else:
+        return joblib.load(latest_file)

From bdacdf02ae685cab6dfc41e35d9b9fcd38235682 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Thu, 28 May 2020 00:01:05 -0700
Subject: [PATCH 233/272] Added error handler for OperationalErrors.

---
 flask_api.py | 17 ++++++++++++++++-
 1 file changed, 16 insertions(+), 1 deletion(-)

diff --git a/flask_api.py b/flask_api.py
index 01f21d7..fdea900 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -75,7 +75,22 @@ def init_nimbus_db():
             db.engine.connect()
         except OperationalError:
             db = NimbusMySQLAlchemy(config_file=CONFIG_FILE_PATH)
-            nimbus - Nimbus(db)
+            nimbus = Nimbus(db)
+
+
+@app.errorhandler(OperationalError)
+def handle_database_error(error):
+    global db
+    if db is None:
+        # reinit the database
+        init_nimbus_db()
+    else:
+        # we *probably* have a bad session - try and roll it back, 
+        # then create a new database connection.
+        db.session.rollback()
+        db.session.close()
+        db = None
+        init_nimbus_db()
 
 
 @app.route("/", methods=["GET", "POST"])

From 7033513a7a562628a555c72cd12841036135f4df Mon Sep 17 00:00:00 2001
From: RichaGadgil <gadgilricha@gmail.com>
Date: Thu, 28 May 2020 00:24:00 -0700
Subject: [PATCH 234/272] fix spacy

---
 nimbus_nlp/question_classifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 53d3f5d..843cbaf 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -34,7 +34,7 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
         Train KNN classification model with overall feature set.
         """
         questions = [q[0] for q in question_pairs]
-        question_features = [self.get_question_features(self.nlp(q)) for q in questions]
+        question_features = [self.get_question_features(self.nlp(str(q))) for q in questions]
 
         for feature in question_features:
             for key in feature:

From de9b7fcb8fcd559189fcad56619107e092b4faf5 Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 31 May 2020 13:57:13 -0700
Subject: [PATCH 235/272] Added question logging

---
 Entity/QuestionLog.py | 23 +++++++++++++++++++++++
 database_wrapper.py   | 17 ++++++++++++++++-
 flask_api.py          |  7 +++++++
 3 files changed, 46 insertions(+), 1 deletion(-)
 create mode 100644 Entity/QuestionLog.py

diff --git a/Entity/QuestionLog.py b/Entity/QuestionLog.py
new file mode 100644
index 0000000..ab002fc
--- /dev/null
+++ b/Entity/QuestionLog.py
@@ -0,0 +1,23 @@
+from sqlalchemy import Text, Integer, Column, TIMESTAMP
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class QuestionLog(Base):
+    __tablename__ = "QuestionLog"
+    id = Column(Integer, primary_key=True)
+    question = Column(Text)
+    timestamp = Column(TIMESTAMP)
+    is_view = False
+
+    def __repr__(self):
+        """
+        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
+        """
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"  # noqa
diff --git a/database_wrapper.py b/database_wrapper.py
index fa50e9c..960730c 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -13,6 +13,7 @@
 import csv
 from abc import ABC, abstractmethod
 from typing import List, Optional, Union
+import datetime
 
 
 import sqlalchemy
@@ -33,6 +34,7 @@
 from Entity.Professors import Professors
 from Entity.ProfessorSectionView import ProfessorSectionView
 from Entity.OfficeHours import OfficeHours
+from Entity.QuestionLog import QuestionLog
 
 from fuzzywuzzy import fuzz
 
@@ -134,7 +136,8 @@
                  "email",
                  "research_interests",
                  "office",
-    ]
+    ],
+    QuestionLog: ["question", "timestamp"],
 }
 
 
@@ -621,6 +624,7 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
             AudioSampleMetaData: self.format_audio_sample_meta_data_dict,
             QuestionAnswerPair: self.format_query_phrase_dict,
             QueryFeedback: self.format_query_feedback_dict,
+            QuestionLog: self.format_question_log,
         }
 
         # Format data (if needed), and validate data
@@ -868,6 +872,17 @@ def format_query_phrase_dict(self, phrases: dict) -> dict:
             "answer_format": phrases["answer"]["format"],
         }
 
+    def format_question_log(self, question_info: dict) -> dict:
+        """
+        Extracts question data from the provided dictionary to upload data to the server.
+        """
+
+        return {
+            "question": question_info["question"],
+            "timestamp": datetime.datetime.now(),
+        }
+
+
     def __del__(self):
         print("NimbusMySQLAlchemy closed")
 
diff --git a/flask_api.py b/flask_api.py
index b32e2e9..1191b41 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -37,6 +37,7 @@
 from Entity.AudioSampleMetaData import AudioSampleMetaData
 from Entity.QuestionAnswerPair import QuestionAnswerPair
 from Entity.QueryFeedback import QueryFeedback
+from Entity.QuestionLog import QuestionLog
 
 from nimbus import Nimbus
 
@@ -119,6 +120,12 @@ def handle_question():
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
 
+    # try:
+    #     feedback_saved = db.insert_entity(QuestionLog, {"question": question})
+    # except (Exception) as e:
+    #     print("Could not store question upon user ask: ", str(e))
+
+
     response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:

From d6a99d8fd61f706b8266269edad330ec52b9318a Mon Sep 17 00:00:00 2001
From: John Waidhofer <33008436+Waidhoferj@users.noreply.github.com>
Date: Sun, 31 May 2020 14:06:40 -0700
Subject: [PATCH 236/272] Update flask_api.py

uncommented
---
 flask_api.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 1191b41..4f5edcb 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -120,10 +120,10 @@ def handle_question():
     if "question" not in request_body:
         return "request body should include the question", BAD_REQUEST
 
-    # try:
-    #     feedback_saved = db.insert_entity(QuestionLog, {"question": question})
-    # except (Exception) as e:
-    #     print("Could not store question upon user ask: ", str(e))
+    try:
+        feedback_saved = db.insert_entity(QuestionLog, {"question": question})
+    except (Exception) as e:
+        print("Could not store question upon user ask: ", str(e))
 
 
     response = {"answer": nimbus.answer_question(question)}
@@ -598,4 +598,4 @@ def convert_to_mfcc():
 
 if __name__ == "__main__":
     app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT)
\ No newline at end of file
+            port=gunicorn_config.PORT)

From 256ee722a28652ecf3a05c2783d5391791b85c26 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 31 May 2020 14:46:00 -0700
Subject: [PATCH 237/272] Update .gitignore

---
 .gitignore | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 8c1f3ca..f2ea737 100644
--- a/.gitignore
+++ b/.gitignore
@@ -125,4 +125,5 @@ settings.yaml
 nimbus_api.iml
 
 # models
-*pkl
\ No newline at end of file
+*pkl
+id_rsa

From 93454a065fd32f5adb88232ed29cbaf7b9470716 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 31 May 2020 14:32:21 -0700
Subject: [PATCH 238/272] updates build.py quiet by def, spacy small

becauase en_core_web_lg is large
quiet is sufficient
---
 build.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/build.py b/build.py
index 8da4b7b..7c4aeb8 100755
--- a/build.py
+++ b/build.py
@@ -86,15 +86,15 @@ def run(
     # ==================================================================
     parser = argparse.ArgumentParser(description="Build Nimbus.")
     parser.add_argument(
-        "-q",
-        "--quiet",
-        action="store_true",
-        help="optionally silence some execution printouts (default: False).",
+        "-v",
+        "--verbose",
+        action="store_false",  # default is True so that all the funcs with `q=Q` (True) will be quiet by default  # noqa
+        help="optionally be VERBOSE with printouts (default: not verbose).",
     )
     parser.add_argument(
-        "--skip-spacy-download",
+        "--spacy-large",
         action="store_true",
-        help="optionally skip the download of spacy's `en_core_web_lg` model (default: False).",
+        help="optionally download spacy's `en_core_web_lg` model (default: False).",
     )
     parser.add_argument(
         "--no-overwrite-secrets",
@@ -102,8 +102,8 @@ def run(
         help="optionally avoid passing in --overwrite-all into setup_special_files_from_env (default: False).",
     )
     args = parser.parse_args()
-    Q = args.quiet
-    SKIP_SPACY_DOWNLOAD = args.skip_spacy_download
+    Q = args.verbose
+    SPACY_LARGE = args.spacy_large
     NO_OVERWRITE_SECRETS = args.no_overwrite_secrets
 
     # =========================================================================
@@ -254,16 +254,16 @@ def reset_color(s, *args, **kwargs):
     # GET THE `en_core_web_lg` SPACY MODEL
     # TODO: consider letting people download the small/medium one...
     # =========================================================================
-    if SKIP_SPACY_DOWNLOAD:
+    if SPACY_LARGE:
+        cmd = [python, "-m", "spacy", "download", "en_core_web_lg"]
+        res = run(cmd_tokens=cmd, fail_msg="failed to get `en_core_web_lg`", q=Q)
+    else:
         print(
             bold_blue(
                 "\n\nskipping spacy's `en_core_web_lg` download..."
                 "\nnimbus will work with `en_core_web_sm` at least\n"
             )
         )
-    else:
-        cmd = [python, "-m", "spacy", "download", "en_core_web_lg"]
-        res = run(cmd_tokens=cmd, fail_msg="failed to get `en_core_web_lg`", q=Q)
 
     # =========================================================================
     # DONE

From 2e60ce00360ea73f0c9ac4d295cd8208be5f1b89 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 31 May 2020 15:05:40 -0700
Subject: [PATCH 239/272] Update overall_features.json

---
 nimbus_nlp/models/features/overall_features.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/nimbus_nlp/models/features/overall_features.json b/nimbus_nlp/models/features/overall_features.json
index c5de3a3..11439a5 100644
--- a/nimbus_nlp/models/features/overall_features.json
+++ b/nimbus_nlp/models/features/overall_features.json
@@ -1 +1 @@
-{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preq": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "office": 0, "hour": 0, "right": 0, "later": 0, "today": 0, "tomorrow": 0, "email": 0, "phone": 0, "contact": 0, "information": 0, "reach": 0, "room": 0, "in": 0, "address": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "'s": 0, "place": 0, "find": 0, "campus": 0, "building": 0, "day": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "brief": 0, "overview": 0, "give": 0, "chief": 0, "touch": 0, "get": 0, "general": 0, "adviser": 0, "usually": 0, "currently": 0, "advisor": 0, "teaching": 0, "week": 0, "platform": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "section": 0, "teach": 0, "type": 0, "department": 0, "found": 0, "tell": 0, "student": 0, "attend": 0, "faculty": 0, "ratio": 0, "big": 0, "acre": 0, "program": 0, "bacherlor": 0, "degree": 0, "master": 0, "minor": 0, "credential": 0, "make": 0, "create": 0, "help": 0, "ask": 0, "kind": 0, "question": 0, "69": 0, "not related": 0}
\ No newline at end of file
+{"prereqs": 0, "COURSE": 0, "be": 0, "course": 0, "require": 0, "take": 0, "unit": 0, "count": 0, "typically": 0, "offer": 0, "quarter": 0, "go": 0, "4": 0, "class": 0, "term": 0, "prerequisite": 0, "have": 0, "recommend": 0, "need": 0, "order": 0, "topic": 0, "cover": 0, "title": 0, "call": 0, "code": 0, "time": 0, "year": 0, "available": 0, "fulfill": 0, "preqs": 0, "soon": 0, "description": 0, "learn": 0, "credit": 0, "worth": 0, "number": 0, "corequisite": 0, "concurrent": 0, "enrollement": 0, "list": 0, "lab": 0, "PROF": 0, "office": 0, "hour": 0, "right": 0, "later": 0, "today": 0, "tomorrow": 0, "email": 0, "phone": 0, "contact": 0, "information": 0, "reach": 0, "room": 0, "address": 0, "visit": 0, "host": 0, "job": 0, "lecturer": 0, "professor": 0, "position": 0, "Cal": 0, "Poly": 0, "place": 0, "find": 0, "campus": 0, "building": 0, "day": 0, "CLUB": 0, "club": 0, "box": 0, "college": 0, "affiliate": 0, "President": 0, "Advisor": 0, "do": 0, "brief": 0, "overview": 0, "give": 0, "chief": 0, "touch": 0, "get": 0, "general": 0, "adviser": 0, "usually": 0, "currently": 0, "advisor": 0, "in": 0, "teach": 0, "week": 0, "platform": 0, "virtual": 0, "zoom": 0, "vroom": 0, "Zoom": 0, "Skype": 0, "see": 0, "section": 0, "type": 0, "department": 0, "found": 0, "tell": 0, "student": 0, "attend": 0, "cal": 0, "faculty": 0, "ratio": 0, "big": 0, "acre": 0, "program": 0, "bacherlor": 0, "degree": 0, "master": 0, "minor": 0, "credential": 0, "make": 0, "create": 0, "help": 0, "ask": 0, "kind": 0, "question": 0, "not related": 0}
\ No newline at end of file

From fbb22c2bf3618e55e9812d4394f339d459bce72a Mon Sep 17 00:00:00 2001
From: Jason-Ku <jasonku99@gmail.com>
Date: Sun, 31 May 2020 14:33:21 -0700
Subject: [PATCH 240/272] Pull out EXPECTED_KEYS_BY_ENTITY and update tests

---
 Entity/ExpectedKeys.py         | 114 +++++++++++++++++++++++++++++++++
 database_wrapper.py            | 107 ++++---------------------------
 tests/test_database_wrapper.py |  19 +++---
 3 files changed, 134 insertions(+), 106 deletions(-)
 create mode 100644 Entity/ExpectedKeys.py

diff --git a/Entity/ExpectedKeys.py b/Entity/ExpectedKeys.py
new file mode 100644
index 0000000..17db6e3
--- /dev/null
+++ b/Entity/ExpectedKeys.py
@@ -0,0 +1,114 @@
+#!/usr/bin/env python3
+"""
+This module holds the expected keys for each Entity type.
+"""
+
+from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
+from Entity.Calendars import Calendars
+from Entity.Clubs import Clubs
+from Entity.Courses import Courses
+from Entity.Locations import Locations
+from Entity.QueryFeedback import QueryFeedback
+from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
+from Entity.QuestionLog import QuestionLog
+from Entity.OfficeHours import OfficeHours
+from Entity.Professors import ProfessorsProperties
+from Entity.Profs import Profs
+from Entity.Professors import Professors
+from Entity.ProfessorSectionView import ProfessorSectionView
+from Entity.Sections import Sections, SectionType
+
+# Supported Entities only and their expected keys
+EXPECTED_KEYS_BY_ENTITY = {
+    AudioSampleMetaData: [
+        "is_wake_word",
+        "first_name",
+        "last_name",
+        "gender",
+        "noise_level",
+        "location",
+        "tone",
+        "timestamp",
+        "username",
+        "audio_file_id",
+        "script",
+        "emphasis"
+    ],
+    Clubs: [
+        "club_name",
+        "types",
+        "desc",
+        "contact_email",
+        "contact_email_2",
+        "contact_person",
+        "contact_phone",
+        "box",
+        "advisor",
+        "affiliation",
+    ],
+    Calendars: [
+        'date',
+        'day',
+        'month',
+        'year',
+        'raw_events_text',
+    ],
+    Courses: [
+        'dept',
+        'course_num',
+        'course_name',
+        'units',
+        'prerequisites',
+        'corequisites',
+        'concurrent',
+        'recommended',
+        'terms_offered',
+        'ge_areas',
+        'desc',
+    ],
+    Locations: [
+        "building_number", 
+        "name", 
+        "longitude", 
+        "latitude",
+    ],
+    Sections: [
+        "section_name",
+        "instructor",
+        "alias",
+        "title",
+        "phone",
+        "office",
+        "type",
+        "days",
+        "start",
+        "end",
+        "location",
+        "department",
+    ],
+    QuestionAnswerPair: [
+        "can_we_answer",
+        "verified",
+        "answer_type",
+        "question_format",
+        "answer_format",
+    ],
+    QueryFeedback: [
+        "question", 
+        "answer", 
+        "answer_type", 
+        "timestamp",
+    ],
+    QuestionLog: [
+        "question", 
+        "timestamp",
+    ],
+    Professors: [
+        "first_name",
+        "last_name",
+        "phone_number",
+        "email",
+        "research_interests",
+        "office",
+    ]
+}
\ No newline at end of file
diff --git a/database_wrapper.py b/database_wrapper.py
index 960730c..296d47d 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -35,6 +35,7 @@
 from Entity.ProfessorSectionView import ProfessorSectionView
 from Entity.OfficeHours import OfficeHours
 from Entity.QuestionLog import QuestionLog
+from Entity.ExpectedKeys import EXPECTED_KEYS_BY_ENTITY
 
 from fuzzywuzzy import fuzz
 
@@ -60,86 +61,6 @@
     ProfessorSectionView: {"first_name", "last_name"},
 }
 
-EXPECTED_KEYS_BY_ENTITY = {
-    AudioSampleMetaData: [
-        "is_wake_word",
-        "first_name",
-        "last_name",
-        "gender",
-        "noise_level",
-        "location",
-        "tone",
-        "timestamp",
-        "username",
-        "audio_file_id",
-        "script",
-        "emphasis"
-    ],
-    Clubs: [
-        "club_name",
-        "types",
-        "desc",
-        "contact_email",
-        "contact_email_2",
-        "contact_person",
-        "contact_phone",
-        "box",
-        "advisor",
-        "affiliation",
-    ],
-    Calendars: [
-        'date',
-        'day',
-        'month',
-        'year',
-        'raw_events_text',
-    ],
-    Courses: [
-        'dept',
-        'course_num',
-        'course_name',
-        'units',
-        'prerequisites',
-        'corequisites',
-        'concurrent',
-        'recommended',
-        'terms_offered',
-        'ge_areas',
-        'desc',
-    ],
-    Locations: ["building_number", "name", "longitude", "latitude"],
-    Sections: [
-        "section_name",
-        "instructor",
-        "alias",
-        "title",
-        "phone",
-        "office",
-        "type",
-        "days",
-        "start",
-        "end",
-        "location",
-        "department",
-    ],
-    QuestionAnswerPair: [
-        "can_we_answer",
-        "verified",
-        "answer_type",
-        "question_format",
-        "answer_format",
-    ],
-    QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
-    Professors: ["first_name",
-                 "last_name",
-                 "phone_number",
-                 "email",
-                 "research_interests",
-                 "office",
-    ],
-    QuestionLog: ["question", "timestamp"],
-}
-
 
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
@@ -387,17 +308,19 @@ class NimbusMySQLAlchemy:  # NimbusMySQLAlchemy(NimbusDatabase):
 
     def __init__(self, config_file: str = "config.json") -> None:
         self.engine = self._create_engine(config_file)
-        self.Clubs = Clubs
-        self.Sections = Sections
+        self.AudioSampleMetaData = AudioSampleMetaData
         self.Calendars = Calendars
+        self.Clubs = Clubs
         self.Courses = Courses
-        self.Profs = Profs
-        self.AudioSampleMetaData = AudioSampleMetaData
         self.Locations = Locations
-        self.ProfessorSectionView = ProfessorSectionView
         self.OfficeHours = OfficeHours
-        self.QuestionAnswerPair = QuestionAnswerPair
+        self.ProfessorSectionView = ProfessorSectionView
+        self.Profs = Profs
         self.Professors = Professors
+        self.QueryFeedback = QueryFeedback
+        self.QuestionAnswerPair = QuestionAnswerPair
+        self.QuestionLog = QuestionLog
+        self.Sections = Sections
         self.inspector = inspect(self.engine)
         self._create_database_session()
         print("initialized NimbusMySQLAlchemy")
@@ -462,15 +385,9 @@ def __safe_create(SQLAlchemy_object):
             print(f"<{table_name}> created")
             return
 
-        __safe_create(self.Clubs)
-        __safe_create(self.Sections)
-        __safe_create(self.Calendars)
-        __safe_create(self.Courses)
-        __safe_create(self.AudioSampleMetaData)
-        __safe_create(self.Locations)
-        __safe_create(self.OfficeHours)
-        __safe_create(self.QuestionAnswerPair)
-        __safe_create(self.Professors)
+        for entity_type in EXPECTED_KEYS_BY_ENTITY.keys():
+            __safe_create(getattr(self, entity_type.__name__));
+
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
index fbd4b1e..fffaae7 100644
--- a/tests/test_database_wrapper.py
+++ b/tests/test_database_wrapper.py
@@ -1,6 +1,7 @@
 import json
 import os
 import pytest
+import sys
 
 from database_wrapper import (
     NimbusMySQLAlchemy,
@@ -11,21 +12,13 @@
     UnsupportedDatabaseError,
     BadConfigFileError,
 )
+from Entity.ExpectedKeys import EXPECTED_KEYS_BY_ENTITY
 from mock import patch, Mock
 from .MockEntity import MockEntity
 from .MockViewEntity import MockViewEntity
 
 
-ENTITY_TYPES = [
-    "AudioSampleMetaData",
-    "Calendars",
-    "Courses",
-    "Locations",
-    "QuestionAnswerPair",
-    "Professors",
-    "Clubs",
-    "Sections",
-]
+ENTITY_TYPES = [i.__name__ for i in EXPECTED_KEYS_BY_ENTITY.keys()]
 
 MOCK_ENTITY_DATA_DICT = {
     "value_one": "test1",
@@ -117,7 +110,11 @@ def test_create_all_tables(mock_create_engine):
 
     # Verify that each Entity had .create() called on it once.
     for entity_type in ENTITY_TYPES:
-        getattr(test_db, entity_type).__table__.create.assert_called_once()
+        try:
+            getattr(test_db, entity_type).__table__.create.assert_called_once()
+        except AssertionError as e: 
+            print("{} table was not created".format(entity_type), file=sys.stderr);
+            raise e
 
 
 @patch.object(NimbusMySQLAlchemy, "_create_engine")

From 2c1b4c28e0fa5574ba31a75a6c2e9e9798f788c8 Mon Sep 17 00:00:00 2001
From: Michael Fekadu <mike.fekadu@gmail.com>
Date: Sun, 31 May 2020 17:33:22 -0700
Subject: [PATCH 241/272] updates build.py to emphasize behavior

if config.json exists then build continues
---
 build.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/build.py b/build.py
index 7c4aeb8..0d893f0 100755
--- a/build.py
+++ b/build.py
@@ -222,7 +222,14 @@ def reset_color(s, *args, **kwargs):
             # -----------------------------------------------------------------
             # setup failed, but we can check if `config.json` is already
             # -----------------------------------------------------------------
-            print(bold_blue("\n\nfound config.json... continuing build...\n\n"))
+            print(bold_yellow(
+                (
+                    "\n\nfound config.json... continuing build...\n\n"
+                    "if you do not want your current config.json\n"
+                    "please follow the steps in the nimbus-config-secrets reposotiry\n"
+                    "ask a Maintainer/Admin for help\n"
+                )
+            ))
         else:
             # -----------------------------------------------------------------
             # okay, fine. last effort to find `config.json` at root of git dir

From de6dcbcfbad877dbd20aaafdd1f5b50ff6adb30a Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Fri, 5 Jun 2020 21:17:29 -0700
Subject: [PATCH 242/272] Entity Token Endpoints

---
 .gitignore            |  2 +-
 Entity/Entity.py      | 54 +++++++++++++++++++++++++
 Entity/EntityToken.py | 30 ++++++++++++++
 database_wrapper.py   | 91 +++++++++++++++++++++++++------------------
 flask_api.py          | 69 ++++++++++++++++++++++----------
 5 files changed, 188 insertions(+), 58 deletions(-)
 create mode 100644 Entity/Entity.py
 create mode 100644 Entity/EntityToken.py

diff --git a/.gitignore b/.gitignore
index f2ea737..f479798 100644
--- a/.gitignore
+++ b/.gitignore
@@ -113,7 +113,7 @@ venv.bak/
 .api.py
 .db_config.py
 db_config.py
-.vscode/settings.json
+.vscode/*
 config.json
 credentials.json
 folder_id.txt
diff --git a/Entity/Entity.py b/Entity/Entity.py
new file mode 100644
index 0000000..9ae6dfc
--- /dev/null
+++ b/Entity/Entity.py
@@ -0,0 +1,54 @@
+class Entity:
+    """
+    An instance of an element in the Nimbus SQL Database.
+    """
+
+    __mapper_args__ = {
+        "exclude_properties": ["validate", "format", "metadata", "get_data"]
+    }
+
+    def __init__(self, data):
+        print("constructed Entity")
+        self.validate(data)
+        formatted_data = self.format(data)
+        for key in formatted_data:
+            setattr(self, key, formatted_data[key])
+
+    def validate(self, data):
+        """
+        Checks if data has all required fields. Raises exception if data is misformed. 
+        Note that you can have multiple validators to take in different data schemas.
+        Parameters
+        ----------
+        `data:dict` Data to be validated, representing a single instance of the entity . 
+        Raises
+        -------
+        Some type of Exception based on the problem with the data
+        """
+        pass
+
+    def format(self, data) -> dict:
+        """
+        Casts data to correct types, assigns keys to match object.
+        Parameters
+        ----------
+        `data:dict` Data to be formatted, representing a single instance of the entity. 
+        Returns
+        -------
+        `dict` new data object which has been formatted.
+        """
+        pass
+
+    def get_data(self):
+        """
+        Returns all fields that are related to table data.
+        """
+        pass
+
+    def __repr__(self):
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"
diff --git a/Entity/EntityToken.py b/Entity/EntityToken.py
new file mode 100644
index 0000000..edaff8e
--- /dev/null
+++ b/Entity/EntityToken.py
@@ -0,0 +1,30 @@
+from sqlalchemy import Column, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+from Entity.Entity import Entity
+
+Base = declarative_base()
+
+
+class EntityToken(Entity, Base):
+    __tablename__ = "EntityTokens"
+    __mapper_args__ = {"concrete": True}
+    id = Column(String(32), primary_key=True)
+    description = Column(Text)
+    name = Column(String(64))
+
+    def validate(self, data):
+        required_fields = ["id", "description", "name"]
+        for field in required_fields:
+            if field not in data:
+                raise Exception(
+                    f"Required field `{field}` wasn't provided. Please provide the following[{required_fields}]"
+                )
+
+    def format(self, data) -> dict:
+        form = data.copy()
+        for key in form:
+            form[key] = str(form[key])
+        return form
+
+    def get_data(self):
+        return {"name": self.name, "description": self.description, "id": self.id}
diff --git a/database_wrapper.py b/database_wrapper.py
index 960730c..7da6021 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -21,6 +21,7 @@
 from sqlalchemy.engine import Engine
 from sqlalchemy.orm import sessionmaker
 
+from Entity.Entity import Entity
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
 from Entity.Calendars import Calendars
 from Entity.Courses import Courses
@@ -46,7 +47,12 @@
 RESET_COLOR_CODE = "\033[00m"
 
 UNION_ENTITIES = Union[
-    AudioSampleMetaData, Calendars, Courses, Profs, QuestionAnswerPair, ProfessorSectionView
+    AudioSampleMetaData,
+    Calendars,
+    Courses,
+    Profs,
+    QuestionAnswerPair,
+    ProfessorSectionView,
 ]
 UNION_PROPERTIES = Union[ProfessorsProperties]
 
@@ -73,7 +79,7 @@
         "username",
         "audio_file_id",
         "script",
-        "emphasis"
+        "emphasis",
     ],
     Clubs: [
         "club_name",
@@ -87,25 +93,19 @@
         "advisor",
         "affiliation",
     ],
-    Calendars: [
-        'date',
-        'day',
-        'month',
-        'year',
-        'raw_events_text',
-    ],
+    Calendars: ["date", "day", "month", "year", "raw_events_text",],
     Courses: [
-        'dept',
-        'course_num',
-        'course_name',
-        'units',
-        'prerequisites',
-        'corequisites',
-        'concurrent',
-        'recommended',
-        'terms_offered',
-        'ge_areas',
-        'desc',
+        "dept",
+        "course_num",
+        "course_name",
+        "units",
+        "prerequisites",
+        "corequisites",
+        "concurrent",
+        "recommended",
+        "terms_offered",
+        "ge_areas",
+        "desc",
     ],
     Locations: ["building_number", "name", "longitude", "latitude"],
     Sections: [
@@ -130,12 +130,13 @@
         "answer_format",
     ],
     QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
-    Professors: ["first_name",
-                 "last_name",
-                 "phone_number",
-                 "email",
-                 "research_interests",
-                 "office",
+    Professors: [
+        "first_name",
+        "last_name",
+        "phone_number",
+        "email",
+        "research_interests",
+        "office",
     ],
     QuestionLog: ["question", "timestamp"],
 }
@@ -377,7 +378,6 @@ def wrapper(*args, **kwargs):
             # HINT: security always wins, so try to catch the EXACT exception
             raise e
 
-
     return wrapper
 
 
@@ -577,11 +577,13 @@ def _get_property_from_entity(
         print(sorted_results)
         return sorted_results
 
-    def get_property_from_entity(self,
+    def get_property_from_entity(
+        self,
         prop: str,
         entity: UNION_ENTITIES,
         identifier: str,
-        tag_column_map: dict = default_tag_column_dict):
+        tag_column_map: dict = default_tag_column_dict,
+    ):
 
         props = self._get_property_from_entity(prop, entity, identifier, tag_column_map)
         if props is None:
@@ -634,6 +636,26 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
         return data_dict
 
+    def add_entity(self, entity) -> bool:
+        """
+        A simplified version of insert_entity that relies on the entity performing its own formatting in the constructor call.
+        Parameters
+        ---------
+        `entity - Entity` an initialized entity object to be added to the database.
+
+        Returns
+        -------
+        `bool` whether entity was successfully added.
+        """
+        # Don't post if the entity doesn't abide by the rules of the Entity superclass
+        if not isinstance(entity, Entity):
+            return False
+        print("Saving to database: {}...".format(entity))
+        self.session.add(entity)
+        self.session.commit()
+        print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
+        return True
+
     def insert_entity(self, entity_type, data_dict: dict) -> bool:
         """
         Inserts an entity into the database. The keys of data_dict should follow camelCase
@@ -669,7 +691,6 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
             )
         )
 
-
         # Grab the entity class fields by cleaning the attributes dictionary
         # Note: Make sure you don't label any important data fields with underscores in the front or back!
         entity_fields = list(
@@ -882,7 +903,6 @@ def format_question_log(self, question_info: dict) -> dict:
             "timestamp": datetime.datetime.now(),
         }
 
-
     def __del__(self):
         print("NimbusMySQLAlchemy closed")
 
@@ -918,10 +938,7 @@ def format_query_feedback_dict(self, feedback: dict) -> dict:
             "timestamp": feedback["timestamp"],
         }
 
-if __name__=="__main__":
+
+if __name__ == "__main__":
     db = NimbusMySQLAlchemy()
-    print(
-        db._get_property_from_entity("section_name",
-                                     ProfessorSectionView,
-                                     "Braun")
-    )
+    print(db._get_property_from_entity("section_name", ProfessorSectionView, "Braun"))
diff --git a/flask_api.py b/flask_api.py
index daaa284..9cb360a 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -39,6 +39,8 @@
 from Entity.QueryFeedback import QueryFeedback
 from Entity.QuestionLog import QuestionLog
 
+from Entity.EntityToken import EntityToken
+
 from nimbus import Nimbus
 
 BAD_REQUEST = 400
@@ -90,7 +92,7 @@ def handle_database_error(error):
         # reinit the database
         init_nimbus_db()
     else:
-        # we *probably* have a bad session - try and roll it back, 
+        # we *probably* have a bad session - try and roll it back,
         # then create a new database connection.
         db.session.rollback()
         db.session.close()
@@ -140,7 +142,6 @@ def handle_question():
     except (Exception) as e:
         print("Could not store question upon user ask: ", str(e))
 
-
     response = {"answer": nimbus.answer_question(question)}
 
     if "session" in request_body:
@@ -155,8 +156,11 @@ def handle_question():
 def save_a_recording():
     """Given the audio metadata & audio file, resamples it, saves to storage.
     """
-    if("wav_file" not in request.files):
-         return "Please provide an audio file under the key 'wav_file' in your FormData", BAD_REQUEST
+    if "wav_file" not in request.files:
+        return (
+            "Please provide an audio file under the key 'wav_file' in your FormData",
+            BAD_REQUEST,
+        )
     validator = WakeWordValidator()
     formatter = WakeWordFormatter()
     data = request.form
@@ -169,9 +173,9 @@ def save_a_recording():
     formatted_data = formatter.format(data)
     filename = create_filename(formatted_data)
     try:
-         file_id = save_audiofile(filename, request.files["wav_file"])
+        file_id = save_audiofile(filename, request.files["wav_file"])
     except Exception as err:
-         return f"Failed to save audio file because... {err}", BAD_REQUEST
+        return f"Failed to save audio file because... {err}", BAD_REQUEST
 
     formatted_data["audio_file_id"] = file_id
 
@@ -301,7 +305,7 @@ def save_courses():
 
     for course in data["courses"]:
         try:
-            db.update_entity(Courses, course, ['dept', 'course_num'])
+            db.update_entity(Courses, course, ["dept", "course_num"])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -316,6 +320,7 @@ def save_courses():
 
     return "SUCCESS"
 
+
 @app.route("/new_data/sections", methods=["POST"])
 def save_sections():
     """
@@ -341,6 +346,7 @@ def save_sections():
 
     return "SUCCESS"
 
+
 @app.route("/new_data/clubs", methods=["POST"])
 def save_clubs():
     """
@@ -352,7 +358,7 @@ def save_clubs():
 
     for club in data["clubs"]:
         try:
-            db.update_entity(Clubs, club, ['club_name'])
+            db.update_entity(Clubs, club, ["club_name"])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -379,7 +385,7 @@ def save_locations():
 
     for location in data["locations"]:
         try:
-            db.update_entity(Locations, location, ['longitude', 'latitude'])
+            db.update_entity(Locations, location, ["longitude", "latitude"])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -433,7 +439,7 @@ def save_calendars():
 
     for calendar in data["calendars"]:
         try:
-            db.update_entity(Calendars, calendar, ['date', 'raw_events_text'])
+            db.update_entity(Calendars, calendar, ["date", "raw_events_text"])
         except BadDictionaryKeyError as e:
             return str(e), BAD_REQUEST
         except BadDictionaryValueError as e:
@@ -449,6 +455,32 @@ def save_calendars():
     return "SUCCESS"
 
 
+@app.route("/schema/entity_tokens", methods=["GET"])
+def get_entity_tokens():
+    init_nimbus_db()
+    try:
+        identifiers = db.session.query(EntityToken).all()
+    except:
+        return "Could not fetch at this time", BAD_REQUEST
+    data = list(map(lambda token: token.get_data(), identifiers))
+    return jsonify(data)
+
+
+@app.route("/schema/entity_tokens", methods=["POST"])
+def add_entity_token():
+    init_nimbus_db()
+    data = request.get_json()
+    try:
+        new_token = EntityToken(data)
+    except Exception as ex:
+        return ex.args[0], BAD_REQUEST
+    try:
+        db.add_entity(new_token)
+    except:
+        return "Could not add token", BAD_REQUEST
+    return "Added Token", SUCCESS
+
+
 def create_filename(form):
     """
     Creates a string filename that adheres to the Nimbus foramtting standard.
@@ -464,8 +496,7 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(
-        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -485,10 +516,10 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
 
     # Check if the current entity is already within the database
     if (
-            db.get_property_from_entity(
-                prop="Name", entity=entity_type, identifier=current_prof["Name"]
-            )
-            != None
+        db.get_property_from_entity(
+            prop="Name", entity=entity_type, identifier=current_prof["Name"]
+        )
+        != None
     ):
 
         update_office_hours = True
@@ -550,8 +581,7 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     # Update the entity properties if the entity already exists
     if update_office_hours == True:
         db.update_entity(
-            entity_type=entity_type, data_dict=sql_data, filter_fields=[
-                "Email"]
+            entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"]
         )
 
     # Otherwise, add the entity to the database
@@ -612,5 +642,4 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT)
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)

From ca7b6e70453f89ec72819da83efc68fc0f5ab32d Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 7 Jun 2020 12:52:28 -0700
Subject: [PATCH 243/272] handles errors inside add_entity

---
 database_wrapper.py | 9 ++++++---
 flask_api.py        | 5 ++---
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 7da6021..573cbbb 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -651,9 +651,12 @@ def add_entity(self, entity) -> bool:
         if not isinstance(entity, Entity):
             return False
         print("Saving to database: {}...".format(entity))
-        self.session.add(entity)
-        self.session.commit()
-        print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
+        try:
+            self.session.add(entity)
+            self.session.commit()
+            print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
+        except:
+            return False
         return True
 
     def insert_entity(self, entity_type, data_dict: dict) -> bool:
diff --git a/flask_api.py b/flask_api.py
index 9cb360a..b1ef4f7 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -474,9 +474,8 @@ def add_entity_token():
         new_token = EntityToken(data)
     except Exception as ex:
         return ex.args[0], BAD_REQUEST
-    try:
-        db.add_entity(new_token)
-    except:
+    token_added = db.add_entity(new_token)
+    if not token_added:
         return "Could not add token", BAD_REQUEST
     return "Added Token", SUCCESS
 

From 408fc9acea3355c97f55a4e61119be6628a8bc8b Mon Sep 17 00:00:00 2001
From: Waidhoferj <jwaidhof@calpoly.edu>
Date: Sun, 14 Jun 2020 21:46:54 -0700
Subject: [PATCH 244/272] Added REST hooks for validator app to update and
 delete QAPairs

---
 Entity/Entity.py             |  17 +++++-
 Entity/QuestionAnswerPair.py | 105 ++++++++++++++++++++++++++++++++++-
 database_wrapper.py          |  32 +++++++++++
 flask_api.py                 |  43 ++++++++++++++
 4 files changed, 195 insertions(+), 2 deletions(-)

diff --git a/Entity/Entity.py b/Entity/Entity.py
index 9ae6dfc..3c3d189 100644
--- a/Entity/Entity.py
+++ b/Entity/Entity.py
@@ -4,7 +4,14 @@ class Entity:
     """
 
     __mapper_args__ = {
-        "exclude_properties": ["validate", "format", "metadata", "get_data"]
+        "exclude_properties": [
+            "validate",
+            "format",
+            "metadata",
+            "get_data",
+            "validators",
+            "formatters",
+        ]
     }
 
     def __init__(self, data):
@@ -45,6 +52,14 @@ def get_data(self):
         """
         pass
 
+    def update(self, data: dict) -> bool:
+        """
+        Updates properties of the entity with the values in the `data` dict.
+        Parameters
+        ----------
+        `data:dict` A subset of entity's properties to update. 
+        """
+
     def __repr__(self):
         D = self.__dict__
         attributes = [
diff --git a/Entity/QuestionAnswerPair.py b/Entity/QuestionAnswerPair.py
index 9e730e5..f440eb9 100644
--- a/Entity/QuestionAnswerPair.py
+++ b/Entity/QuestionAnswerPair.py
@@ -1,5 +1,6 @@
 from sqlalchemy import Column, Integer, Text, Enum, Boolean
 from sqlalchemy.ext.declarative import declarative_base
+from Entity.Entity import Entity
 import enum
 
 # This is the way SQLAlchemy initializes their special classes
@@ -18,7 +19,7 @@ class AnswerType(enum.Enum):
     other = 4  # something difficult or unknown.
 
 
-class QuestionAnswerPair(Base):
+class QuestionAnswerPair(Entity, Base):
     __tablename__ = "QuestionAnswerPair"
     id = Column(Integer, primary_key=True)
     # SQLAlchemy resolves Boolean to TINYINT within MYSQL
@@ -29,6 +30,108 @@ class QuestionAnswerPair(Base):
     answer_format = Column(Text)
     is_view = False
 
+    validators = {
+        "question": {
+            "validate": lambda data: "question" in data
+            and type(data["question"]) == str,
+            "error_message": "Question wasn't provided as a string.",
+        },
+        "answer": {
+            "validate": lambda data: "answer" in data and type(data["answer"]) == str,
+            "error_message": "Answer wasn't provided as a string.",
+        },
+        "type": {
+            "validate": lambda data: "type" in data
+            and data["type"].lower() in [t.name for t in AnswerType],
+            "error_message": "Provided QAPair type is not provided or not supported.",
+        },
+        "verified": {
+            "validate": lambda data: type(data["verified"]) == bool
+            or data["verified"] in ["true", "false"],
+            "error_message": "Verified is not a boolean-like value.",
+        },
+        "isAnswerable": {
+            "validate": lambda data: type(data["isAnswerable"]) == bool
+            or data["isAnswerable"] in ["true", "false"],
+            "error_message": "isAnswerable is not a boolean-like value.",
+        },
+        "id": {
+            "validate": lambda data: type(data["id"]) == int or data["id"].is_digit(),
+            "error_message": "id is not a valid type or not provided.",
+        },
+    }
+
+    formatters = {
+        "question": lambda form: ("question_format", form["question"]),
+        "answer": lambda form: ("answer_format", form["answer"]),
+        "type": lambda form: ("answer_type", AnswerType[form["type"].lower()])
+        if "type" in form
+        else AnswerType.other,
+        "isAnswerable": lambda form: (
+            "can_we_answer",
+            form["isAnswerable"]
+            if type(form["isAnswerable"]) == bool
+            else form["isAnswerable"] == "true",
+        ),
+        "verified": lambda form: (
+            "verified",
+            form["verified"]
+            if type(form["verified"]) == bool
+            else form["verified"] == "true",
+        ),
+        "id": lambda form: ("id", int(form["id"])),
+    }
+
+    def validate(self, data):
+        required_fields = ["question", "answer", "type"]
+        optional_fields = ["isAnswerable", "verified"]
+        for field in required_fields:
+            validator = self.validators[field]
+            valid = validator["validate"](data)
+            if not valid:
+                raise Exception(validator["error_message"])
+        for field in optional_fields:
+            if field not in data:
+                continue
+            validator = self.validators[field]
+            valid = validator["validate"](data)
+            if not valid:
+                raise Exception(validator["error_message"])
+
+    def format(self, data) -> dict:
+        form = {}
+        for field, val in data.items():
+            if field not in self.formatters:
+                continue
+            key, value = self.formatters[field](form)
+            form[key] = value
+        return form
+
+    def update(self, data: dict) -> bool:
+        try:
+            for key, value in data.items():
+                # validate
+                validator = self.validators[key]
+                valid = validator["validate"](data)
+                if not valid:
+                    raise Exception(validator["error_message"])
+                # format
+                name, value = self.formatters[key](data)
+                # update
+                setattr(self, name, value)
+        except Exception:
+            return False
+        return True
+
+    def get_data(self):
+        return {
+            "can_we_answer": self.can_we_answer,
+            "verified": self.verified,
+            "answer_type": self.answer_type,
+            "question_format": self.question_format,
+            "answer_format": self.answer_format,
+        }
+
     def __repr__(self):
         """
         A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
diff --git a/database_wrapper.py b/database_wrapper.py
index 573cbbb..9338cab 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -744,6 +744,18 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
         Returns:
             True if all is good, else False
         """
+
+        if issubclass(entity_type, Entity):
+            if "id" not in data_dict:
+                raise BadDictionaryKeyError(
+                    "Include an 'id' field so the element to update can be identified."
+                )
+            updated_entity = self.session.query(entity_type).get(data_dict["id"])
+            updated = updated_entity.update(data_dict)
+            if not updated:
+                return False
+            self.session.commit()
+            return True
         # Initialize dummy entity to check if it's a View
         dummy_entity = entity_type()
         if dummy_entity.is_view:
@@ -870,6 +882,26 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
 
         return data_dict
 
+    def delete_entity(self, entity_type: Entity, identifier) -> bool:
+        """
+        Deletes entity with matching identifier from its table.
+        Parameters
+        ----------
+        `entity_type:Entity` The class of entity. This is used to relate the identifier to a specific table.
+
+        `identifier`: The unique `primary_key` of the desired entity.
+        Returns
+        -------
+        `bool` Whether the operation was successfully completed.
+        """
+        try:
+            target_entity = self.session.query(entity_type).get(identifier)
+            self.session.delete(target_entity)
+            self.session.commit()
+        except:
+            return False
+        return True
+
     def format_query_phrase_dict(self, phrases: dict) -> dict:
         """
         Formats query phrase to be saved to the server.
diff --git a/flask_api.py b/flask_api.py
index b1ef4f7..7dad9de 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -259,6 +259,49 @@ def save_query_phrase():
         return "An error was encountered while saving to database", SERVER_ERROR
 
 
+@app.route("/new_data/update_phrase", methods=["POST"])
+def update_query_phrase():
+    init_nimbus_db()
+    data = request.get_json()
+    try:
+        updated = db.update_entity(QuestionAnswerPair, data, [])
+    except (BadDictionaryKeyError, BadDictionaryValueError) as e:
+        return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), SERVER_ERROR
+    except Exception as e:
+        raise e
+
+    return (
+        ("Phrase updated!", SUCCESS)
+        if updated
+        else ("Failed to update phrase", SERVER_ERROR)
+    )
+
+
+@app.route("/new_data/delete_phrase", methods=["POST"])
+def delete_query_phrase():
+    init_nimbus_db()
+    data = request.get_json()
+    if "id" not in data or type(data["id"]) != int:
+        return "Please provide 'id' as an integer"
+    identifier = data["id"]
+    try:
+        deleted = db.delete_entity(QuestionAnswerPair, identifier)
+    except (BadDictionaryKeyError, BadDictionaryValueError) as e:
+        return str(e), BAD_REQUEST
+    except NimbusDatabaseError as e:
+        return str(e), SERVER_ERROR
+    except Exception as e:
+        raise e
+
+    return (
+        ("Phrase deleted!", SUCCESS)
+        if deleted
+        else ("Failed to delete phrase", SERVER_ERROR)
+    )
+
+
 @app.route("/new_data/feedback", methods=["POST"])
 def save_feedback():
     validator = FeedbackValidator()

From bf51860222cacefae7601d0285914cd0a08ed64f Mon Sep 17 00:00:00 2001
From: Kalen Goo <44537937+kgoo124@users.noreply.github.com>
Date: Tue, 7 Jul 2020 15:34:11 -1000
Subject: [PATCH 245/272] Created GET route for unvalidated QA pairs (#178)

* Created GET route for unvalidated QA pairs

Created a db function to parse and format the data returned by the query

* Able to specify number of unvalidated phrases

* Renamed query function for unvalidated qa data

Co-authored-by: mmcelvai@calpoly.edu <mmcelvai@calpoly.edu>
---
 database_wrapper.py | 63 ++++++++++++++++++++++++++++++++++-----------
 flask_api.py        | 23 ++++++++++++++---
 2 files changed, 68 insertions(+), 18 deletions(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 0737ca9..c173e35 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -67,6 +67,7 @@
     ProfessorSectionView: {"first_name", "last_name"},
 }
 
+
 class BadDictionaryKeyError(Exception):
     """Raised when the given JSON/dict is missing some required fields.
 
@@ -390,8 +391,7 @@ def __safe_create(SQLAlchemy_object):
             return
 
         for entity_type in EXPECTED_KEYS_BY_ENTITY.keys():
-            __safe_create(getattr(self, entity_type.__name__));
-
+            __safe_create(getattr(self, entity_type.__name__))
 
     def _create_database_session(self):
         Session = sessionmaker(bind=self.engine)
@@ -408,6 +408,28 @@ def get_all_qa_pairs(self):
 
         return result
 
+    def get_unvalidated_qa_data(self, numQueries: int):
+        qa = QuestionAnswerPair
+
+        query_session = self.session.query(
+            qa.id, qa.can_we_answer, qa.question_format, qa.answer_format, qa.verified, qa.answer_type
+        ).filter(qa.verified == 0).limit(numQueries)
+        result = query_session.all()
+        print(result)
+        unvalidated_qa_pairs = []
+        for qa_pair in result:
+            formatted_QA_pair = {
+                "id": qa_pair[0],
+                "can_we_answer": qa_pair[1],
+                "question_format": qa_pair[2],
+                "answer_format": qa_pair[3],
+                "verified": qa_pair[4],
+                "answer_type": qa_pair[5].name,
+            }
+            unvalidated_qa_pairs.append(formatted_QA_pair)
+
+        return unvalidated_qa_pairs
+
     def get_all_answerable_pairs(self):
         qa_entity = QuestionAnswerPair
 
@@ -415,7 +437,8 @@ def get_all_answerable_pairs(self):
             qa_entity.question_format, qa_entity.answer_format, qa_entity.can_we_answer
         )
         result = query_session.all()
-        true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
+        true_result = [(pair[0], pair[1])
+                       for pair in result if pair[2] == True]
 
         return true_result
 
@@ -489,7 +512,8 @@ def _get_property_from_entity(
                 tags.append(str(row.__dict__[tag_prop]))
 
             if total_similarity > MATCH_THRESHOLD:
-                results.append((total_similarity, tags, str(row.__dict__[prop])))
+                results.append(
+                    (total_similarity, tags, str(row.__dict__[prop])))
 
         if len(results) < 1:
             return None
@@ -506,7 +530,8 @@ def get_property_from_entity(
         tag_column_map: dict = default_tag_column_dict,
     ):
 
-        props = self._get_property_from_entity(prop, entity, identifier, tag_column_map)
+        props = self._get_property_from_entity(
+            prop, entity, identifier, tag_column_map)
         if props is None:
             return None
         return props[-1][2]
@@ -554,7 +579,8 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         if entity_type in format_method_by_entity:
             data_dict = format_method_by_entity[entity_type](data_dict)
 
-        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
+        self.validate_input_keys(
+            data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
         return data_dict
 
     def add_entity(self, entity) -> bool:
@@ -605,7 +631,8 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
             raise InvalidOperationOnView(msg.format(entity_type))
 
         # Get formatted data, entity attributes, and entity object
-        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(
+            entity_type, data_dict)
         entity_attributes = entity_type.__dict__
 
         # Logging...
@@ -671,7 +698,8 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
                 raise BadDictionaryKeyError(
                     "Include an 'id' field so the element to update can be identified."
                 )
-            updated_entity = self.session.query(entity_type).get(data_dict["id"])
+            updated_entity = self.session.query(
+                entity_type).get(data_dict["id"])
             updated = updated_entity.update(data_dict)
             if not updated:
                 return False
@@ -689,13 +717,15 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
             raise RuntimeError(msg.format(entity_type))
 
         # Get formatted data and entity attributes
-        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(
+            entity_type, data_dict)
         entity_attributes = entity_type.__dict__
 
         # Run a SELECT query to see if an entity that matches the values under the fields in the filter_fields list exists
         query = self.session.query(entity_type)
         for field in filter_fields:
-            query = query.filter(getattr(entity_type, field) == formatted_data[field])
+            query = query.filter(getattr(entity_type, field)
+                                 == formatted_data[field])
         entity = query.first()
 
         # Logging...
@@ -769,7 +799,8 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             A new, formatted data dictionary
         """
 
-        is_wake_word_by_label = {"ww": True, "nww": False, True: True, False: False}
+        is_wake_word_by_label = {"ww": True,
+                                 "nww": False, True: True, False: False}
 
         noise_level_by_label = {
             "q": NoiseLevel.quiet,
@@ -794,7 +825,8 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             raise BadDictionaryValueError(msg)
 
         if data_dict["noiseLevel"] in noise_level_by_label:
-            data_dict["noise_level"] = noise_level_by_label[data_dict.pop("noiseLevel")]
+            data_dict["noise_level"] = noise_level_by_label[data_dict.pop(
+                "noiseLevel")]
         else:
             msg = "unexpected values for noiseLevel\n"
             msg += "expected 'q' or 'm' or 'l' but got '{}'"
@@ -826,7 +858,7 @@ def delete_entity(self, entity_type: Entity, identifier) -> bool:
     def format_query_phrase_dict(self, phrases: dict) -> dict:
         """
         Formats query phrase to be saved to the server.
-        
+
         Parameters
         ----------
         `phrases : dict` A question answer pair:
@@ -865,7 +897,7 @@ def __del__(self):
     def format_query_feedback_dict(self, feedback: dict) -> dict:
         """
             Formats query feedback to be saved to the server.
-            
+
             Parameters
             ----------
             `feedback : dict` A query feedback:
@@ -897,4 +929,5 @@ def format_query_feedback_dict(self, feedback: dict) -> dict:
 
 if __name__ == "__main__":
     db = NimbusMySQLAlchemy()
-    print(db._get_property_from_entity("section_name", ProfessorSectionView, "Braun"))
+    print(db._get_property_from_entity(
+        "section_name", ProfessorSectionView, "Braun"))
diff --git a/flask_api.py b/flask_api.py
index 7dad9de..339936e 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -43,6 +43,8 @@
 
 from nimbus import Nimbus
 
+import json
+
 BAD_REQUEST = 400
 SUCCESS = 200
 SERVER_ERROR = 500
@@ -259,6 +261,18 @@ def save_query_phrase():
         return "An error was encountered while saving to database", SERVER_ERROR
 
 
+@app.route("/data/get_phrase/<numQueries>", methods=["GET"])
+def get_phrase(numQueries):
+    init_nimbus_db()
+    try:
+        # if no phrases are unvalidated, will return an empty list
+        return {"data": db.get_unvalidated_qa_data(numQueries)}, SUCCESS
+    except NimbusDatabaseError as e:
+        return str(e), SERVER_ERROR
+    except Exception as e:
+        raise e
+
+
 @app.route("/new_data/update_phrase", methods=["POST"])
 def update_query_phrase():
     init_nimbus_db()
@@ -538,7 +552,8 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(
+        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -623,7 +638,8 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     # Update the entity properties if the entity already exists
     if update_office_hours == True:
         db.update_entity(
-            entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"]
+            entity_type=entity_type, data_dict=sql_data, filter_fields=[
+                "Email"]
         )
 
     # Otherwise, add the entity to the database
@@ -684,4 +700,5 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
+            port=gunicorn_config.PORT)

From 6990c3b7d5015f42b6c4482df484b474c3328f7a Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@users.noreply.github.com>
Date: Sun, 19 Jul 2020 11:03:24 -0700
Subject: [PATCH 246/272] Update dev environment instructions and other small
 improvements

Open to feedback, this is readable/followable to me but it may not be for others.
---
 README.md | 47 +++++++++++++++++++++++++++++++++++++++++++----
 1 file changed, 43 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 7438901..09e8922 100644
--- a/README.md
+++ b/README.md
@@ -36,9 +36,11 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 
 ## Dev Environment Setup
 ### Prerequisites
-1. Python 3.6.9 (we're running 3.8 on gce)
+1. Python 3.6.9+ (we're running 3.8 on gce)
+2. pip 9.0.1+ (pip 20.1.1 is whats on gce as of this writing, but whatever version you have with your python install is probably fine)
+3. git (can you run `git --version`?) (we're using 2.25.1 on gce, but any version will *almost certainly* work)
+4. Access to database credentials/api keys (contact us)
 
-2. pip 9.0.1
 
 
 ### Database Configuration
@@ -59,17 +61,31 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 }
 ```
 
-**You can also use [`config_SAMPLE.json`](https://github.com/calpoly-csai/api/blob/dev/config_SAMPLE.json) as a reference**
+**You can also use [`config_SAMPLE.json`](https://github.com/calpoly-csai/api/blob/dev/config_SAMPLE.json) as a reference (easier!)**
 
 _Contact anyone on the Data Team to get connection details for the Nimbus database_
 
 
-### Install
+### Install pip packages
+> Note: If you don't have pip installed for python2, you may have to call `pip` instead of `pip3`)
 
 ```bash
 pip3 install -r requirements.txt
 ```
 
+### Download spaCy model
+There are two spaCy models usable for nimbus predictions.  These are (from [spaCy's docs](https://spacy.io/models)) General-purpose pretrained models to predict named entities, part-of-speech tags and syntactic dependencies. Can be used out-of-the-box and fine-tuned on more specific data.  We use these to classify a question someone asks Nimbus, so we can retrieve an answer from our database.See [here](https://stackoverflow.com/a/57337084/13291759) for an idea of the difference between lg and sm.
+
+```bash
+python3 -m spacy download en_core_web_sm
+```
+or 
+```bash
+python3 -m spacy download en_core_web_lg
+```
+
+You should now have everything you need to run the API server.
+
 ### Run the API server
 
 ```bash
@@ -85,6 +101,10 @@ python3 nimbus_api.py&
 ```bash
 pytest
 ```
+(you may have to run the following if you have python 2.7 installed as well):
+```bash
+python3 -m pytest
+```
 
 ### Python PEP8 Style Standards
 **_Run the `format` script to automatically make our code look nice_**
@@ -97,12 +117,29 @@ _Sometimes the format script is not enough, so run `lint` to manually style our
 ./lint.sh
 ```
 
+### Some common issues and solutions
+##### ```/bin/bash^M: bad interpreter: No such file or directory```:
+>Note: This issue can occur (for me, at least) in files other than just format.sh.  These instructions should fix this problem in any file.
+```
+snekiam@P1:api$ ./format.sh
+-bash: ./format.sh: /bin/bash^M: bad interpreter: No such file or directory
+```
+This can happen when you're running bash on windows sometimes.  Linux doesn't recognize carriage returns (^M) the same way windows does.  You may have this error in more than one file, but it can be fixed by running `dos2unix` like this:
+```
+snekiam@P1:api$ dos2unix format.sh
+dos2unix: converting file format.sh to Unix format...
+snekiam@P1:api$ ./format.sh
+(output of format.sh, which can be long so I haven't included it here)
+```
+
 ## Deployment
 ### What we use
 A Linux server (e.g. Ubuntu 20.04 LTS) with open firewall at `tcp:5000` for _Flask_, `tcp:80` for _http_ and `tcp:443` for _https_ and `tcp:22` for _ssh_ and `tcp:3306` for _mysql_
 
 [See this documentation of the database deployment process](https://github.com/calpoly-csai/wiki/wiki/How-To-Install-and-Set-Up-a-Remote-MySQL-5.7-Database-and-Python-3.6-on-Ubuntu-18.04-with-Google-Cloud-Platform)
 
+We're using docker to deploy - at some point, it'll be easy for you to run the Nimbus API in a local docker container, but at the moment it requires some things (like SSH keys and SSL private keys) which shouldn't be required for a development environment.  
+
 
 ## Contributing
 ![GitHub issues](https://img.shields.io/github/issues/calpoly-csai/api)
@@ -144,3 +181,5 @@ Please make sure to update tests as appropriate.
 [Tyler Campanile](https://www.github.com/tecampani)
 
 [Steven Bradley](https://www.github.com/stbradle)
+
+And many more...

From b5b1aab8a66647d2be08968ff656d592a6ecf164 Mon Sep 17 00:00:00 2001
From: Chidi Ewenike <chidiewenike@gmail.com>
Date: Sun, 19 Jul 2020 14:53:32 -0700
Subject: [PATCH 247/272] fixed index issue

---
 nimbus_nlp/variable_extractor.py | 24 ++++++++++++++++--------
 1 file changed, 16 insertions(+), 8 deletions(-)

diff --git a/nimbus_nlp/variable_extractor.py b/nimbus_nlp/variable_extractor.py
index ad7fa55..7567c25 100644
--- a/nimbus_nlp/variable_extractor.py
+++ b/nimbus_nlp/variable_extractor.py
@@ -67,22 +67,30 @@ def extract_variables(self, sent):
                             "input question" - input question from the user
                             "normalized question" - variable-replaced question
         """
+        
+        entity = ""
+        tag = ""
+        normalized_entity = ""
+        normalized_question = ""
 
         # Make the prediction
         request = self.get_prediction(sent)
 
-        # Obtain the entity in the sentence
-        entity = request.payload[0].text_extraction.text_segment.content
+        # Input had detected entities
+        if (request.payload != []):
 
-        # Obtain the predicted tag
-        tag = request.payload[0].display_name
+            # Obtain the entity in the sentence
+            entity = request.payload[0].text_extraction.text_segment.content
 
-        # Removes excessive words from the entity
-        normalized_entity = VariableExtractor.excess_word_removal(entity, tag)
+            # Obtain the predicted tag
+            tag = request.payload[0].display_name
 
-        # Replaces the entity of input question with its corresponding tag
-        normalized_question = sent.replace(entity, "[" + tag + "]")
+            # Removes excessive words from the entity
+            normalized_entity = VariableExtractor.excess_word_removal(entity, tag)
 
+            # Replaces the entity of input question with its corresponding tag
+            normalized_question = sent.replace(entity, "[" + tag + "]")
+           
         return {
             "entity": entity,
             "tag": tag,

From 719ca8b88fb33d9ed00c46698371b1622d77a8f6 Mon Sep 17 00:00:00 2001
From: Ethan Ahlquist <43525065+ethanahlquist@users.noreply.github.com>
Date: Sun, 19 Jul 2020 22:53:58 -0700
Subject: [PATCH 248/272] Added Setup info to README
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Added:
- API keys setup
- Curl Query example

Changed:
- file name: nimbus_api.py → flask_api.py
---
 README.md | 27 ++++++++++++++++++++++++---
 1 file changed, 24 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 09e8922..c5cac68 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# api
+ # api
 
 ![GitHub repo size](https://img.shields.io/github/repo-size/calpoly-csai/api)
 ![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/calpoly-csai/api)
@@ -84,18 +84,39 @@ or
 python3 -m spacy download en_core_web_lg
 ```
 
+### Get API keys for terminal instance
+
+```bash
+git clone https://github.com/calpoly-csai/nimbus-config-secrets.git
+
+cd nimbus-config-secrets 
+
+source .export_env_vars
+```
+
+
 You should now have everything you need to run the API server.
 
+
 ### Run the API server
 
 ```bash
-python3 nimbus_api.py
+python3 flask_api.py
 ```
+- Opens localhost:PORT
+- PORT is changed in gunicorn_config.py
 
 **_Run in the background_**
 ```bash
-python3 nimbus_api.py&
+python3 flask_api.py&
+```
+
+### Run your first API request
+```bash
+curl --location --request POST 'localhost:8080/ask' --header 'Content-Type: application/json' --data-raw '{ "question": "What are the prereqs for CSC 480?" }'
 ```
+- Sends Query to Database through localhost:8080/ask
+
 
 ### Run the tests
 ```bash

From d8bc2340f0af288f947737987a5d07ba63015ccf Mon Sep 17 00:00:00 2001
From: Ethan Ahlquist <43525065+ethanahlquist@users.noreply.github.com>
Date: Sun, 19 Jul 2020 22:58:20 -0700
Subject: [PATCH 249/272] Added setup info to README
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Added:
- API keys setup
- Curl Query example

Changed:
- file name: nimbus_api.py → flask_api.py
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index c5cac68..a94ac5e 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
- # api
+# api
 
 ![GitHub repo size](https://img.shields.io/github/repo-size/calpoly-csai/api)
 ![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/calpoly-csai/api)

From 96d91ea78f98a54c8ec30a76cc82705179601b81 Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Wed, 22 Jul 2020 14:18:57 -0700
Subject: [PATCH 250/272] First issue 182 commit

---
 Entity/ErrorTrace.py | 29 +++++++++++++++++++++++++++++
 flask_api.py         | 15 ++++++++++++++-
 2 files changed, 43 insertions(+), 1 deletion(-)
 create mode 100644 Entity/ErrorTrace.py

diff --git a/Entity/ErrorTrace.py b/Entity/ErrorTrace.py
new file mode 100644
index 0000000..fb06690
--- /dev/null
+++ b/Entity/ErrorTrace.py
@@ -0,0 +1,29 @@
+from sqlalchemy import Text, Integer, Column, TIMESTAMP
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+# EDITED Version of QuestionLog
+class ErrorLog(Base):
+    __tablename__ = "ErrorLog"
+    id = Column(Integer, primary_key=True)
+    question = Column(Text)
+    
+    # ADDED
+    error_code = Column(Text)
+    stacktrace = Column(Text)
+
+    timestamp = Column(TIMESTAMP)
+    is_view = False
+
+    def __repr__(self):
+        """
+        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
+        """
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"  # noqa
diff --git a/flask_api.py b/flask_api.py
index 339936e..a6e8e17 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -119,6 +119,8 @@ def generate_session_token() -> str:
     return "SOME_NEW_TOKEN"
 
 
+
+
 @app.route("/ask", methods=["POST"])
 def handle_question():
     """
@@ -144,7 +146,18 @@ def handle_question():
     except (Exception) as e:
         print("Could not store question upon user ask: ", str(e))
 
-    response = {"answer": nimbus.answer_question(question)}
+    try:
+        response = {"answer": nimbus.answer_question(question)}
+    except (Exception) as e:
+
+        def catchall_Ans_retreival_exception():
+            # Log Question Exception Pair
+            # feedback_saved = db.insert_entity(ErrorTrace, {"question": question})
+            response = {"answer": "oops, something went wrong... Try another question"}
+
+            return response
+
+        response = catchall_Ans_retreival_exception()
 
     if "session" in request_body:
         response["session"] = request_body["session"]

From 998cecc8c8d4b15fab51f762f34b35395dce29da Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Sat, 25 Jul 2020 21:48:09 -0700
Subject: [PATCH 251/272] Second Commit, additions of code catching answer
 responce errors. (also added some code related to changes needed in the SQL
 database)

---
 Entity/ErrorLog.py  | 29 +++++++++++++++++++++++++
 database_wrapper.py |  2 ++
 flask_api.py        | 53 +++++++++++++++++++++++++++++++++++++++++----
 3 files changed, 80 insertions(+), 4 deletions(-)
 create mode 100644 Entity/ErrorLog.py

diff --git a/Entity/ErrorLog.py b/Entity/ErrorLog.py
new file mode 100644
index 0000000..fb06690
--- /dev/null
+++ b/Entity/ErrorLog.py
@@ -0,0 +1,29 @@
+from sqlalchemy import Text, Integer, Column, TIMESTAMP
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+# EDITED Version of QuestionLog
+class ErrorLog(Base):
+    __tablename__ = "ErrorLog"
+    id = Column(Integer, primary_key=True)
+    question = Column(Text)
+    
+    # ADDED
+    error_code = Column(Text)
+    stacktrace = Column(Text)
+
+    timestamp = Column(TIMESTAMP)
+    is_view = False
+
+    def __repr__(self):
+        """
+        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
+        """
+        D = self.__dict__
+        attributes = [
+            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
+        ]
+        attributes_string = ", ".join(attributes)
+        return f"{self.__class__.__name__}({attributes_string})"  # noqa
diff --git a/database_wrapper.py b/database_wrapper.py
index c173e35..9ceb46f 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -36,6 +36,7 @@
 from Entity.ProfessorSectionView import ProfessorSectionView
 from Entity.OfficeHours import OfficeHours
 from Entity.QuestionLog import QuestionLog
+from Entity.ErrorLog import ErrorLog
 from Entity.ExpectedKeys import EXPECTED_KEYS_BY_ENTITY
 
 from fuzzywuzzy import fuzz
@@ -325,6 +326,7 @@ def __init__(self, config_file: str = "config.json") -> None:
         self.QueryFeedback = QueryFeedback
         self.QuestionAnswerPair = QuestionAnswerPair
         self.QuestionLog = QuestionLog
+        self.ErrorLog = ErrorLog
         self.Sections = Sections
         self.inspector = inspect(self.engine)
         self._create_database_session()
diff --git a/flask_api.py b/flask_api.py
index a6e8e17..c032d94 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -5,7 +5,11 @@
 """
 from sqlalchemy.exc import OperationalError
 
-from flask import Flask, jsonify, request
+#abort added
+from flask import Flask, jsonify, request, abort
+#traceback added for stacktrace logging
+import traceback
+
 from flask_cors import CORS
 from pydrive.auth import GoogleAuth
 from pydrive.drive import GoogleDrive
@@ -39,6 +43,9 @@
 from Entity.QueryFeedback import QueryFeedback
 from Entity.QuestionLog import QuestionLog
 
+# NOT NEEDED?
+from Entity.ErrorLog import ErrorLog
+
 from Entity.EntityToken import EntityToken
 
 from nimbus import Nimbus
@@ -101,6 +108,22 @@ def handle_database_error(error):
         db = None
         init_nimbus_db()
 
+#Flask Based catchall (Doesn't seem to catch db Errors properly)
+#https://stackoverflow.com/questions/29332056/global-error-handler-for-any-exception#29332131
+@app.errorhandler(Exception)
+def handle_error(e):
+    code = 500
+    YELLOW_COLOR_CODE = "\033[93m"
+    RESET_COLOR_CODE = "\033[00m"
+    print(
+        "{}In catch-all handler!{}".format(
+            YELLOW_COLOR_CODE, RESET_COLOR_CODE
+        )
+    )
+    if isinstance(e, HTTPException):
+        code = e.code
+    return jsonify(error=str(e)), code
+
 
 @app.route("/", methods=["GET", "POST"])
 def hello():
@@ -118,6 +141,10 @@ def hello():
 def generate_session_token() -> str:
     return "SOME_NEW_TOKEN"
 
+# Stores Question Error in database
+def question_error(error, question):
+    feedback_saved = db.insert_entity(ErrorLog, {"question": question, "error_code":"TODO", "stacktrace":"TODO" })
+
 
 
 
@@ -145,19 +172,37 @@ def handle_question():
         feedback_saved = db.insert_entity(QuestionLog, {"question": question})
     except (Exception) as e:
         print("Could not store question upon user ask: ", str(e))
-
+    
     try:
         response = {"answer": nimbus.answer_question(question)}
     except (Exception) as e:
 
+        CYAN_COLOR_CODE = "\033[96m"
+        YELLOW_COLOR_CODE = "\033[93m"
+        RESET_COLOR_CODE = "\033[00m"
+
         def catchall_Ans_retreival_exception():
+            
             # Log Question Exception Pair
-            # feedback_saved = db.insert_entity(ErrorTrace, {"question": question})
+            # feedback_saved = db.insert_entity(ErrorLog, {"question": question})
             response = {"answer": "oops, something went wrong... Try another question"}
-
+            print("question: {}{}{}".format(
+                    CYAN_COLOR_CODE, question, RESET_COLOR_CODE)
+            ) 
+            print("error_code: {}{}{}".format(
+                    YELLOW_COLOR_CODE, type(e).__name__, RESET_COLOR_CODE)
+            )
+            print("stacktrace: {}{}{}".format(
+                    CYAN_COLOR_CODE, traceback.format_exc(), RESET_COLOR_CODE)
+            )
+            print("message: {}{}{}".format(
+                    YELLOW_COLOR_CODE, str(e), RESET_COLOR_CODE)
+            )
+            #feedback_saved = db.insert_entity(ErrorLog, {"question": question, "error_code":"sdafas", "stacktrace":"fdsadfdsfs" })
             return response
 
         response = catchall_Ans_retreival_exception()
+        #abort(type(e).__name__)
 
     if "session" in request_body:
         response["session"] = request_body["session"]

From 16218b0e2e80a71b768bf3281dcc670992e3ba7d Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Sun, 26 Jul 2020 00:32:11 -0700
Subject: [PATCH 252/272] =?UTF-8?q?Flask=20catchall=20is=20functional!?=
 =?UTF-8?q?=F0=9F=98=80=20Just=20need=20database=20changes!=F0=9F=91=8C?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 Entity/ErrorTrace.py | 29 ----------------
 flask_api.py         | 82 ++++++++++++++++++--------------------------
 2 files changed, 33 insertions(+), 78 deletions(-)
 delete mode 100644 Entity/ErrorTrace.py

diff --git a/Entity/ErrorTrace.py b/Entity/ErrorTrace.py
deleted file mode 100644
index fb06690..0000000
--- a/Entity/ErrorTrace.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from sqlalchemy import Text, Integer, Column, TIMESTAMP
-from sqlalchemy.ext.declarative import declarative_base
-
-Base = declarative_base()
-
-
-# EDITED Version of QuestionLog
-class ErrorLog(Base):
-    __tablename__ = "ErrorLog"
-    id = Column(Integer, primary_key=True)
-    question = Column(Text)
-    
-    # ADDED
-    error_code = Column(Text)
-    stacktrace = Column(Text)
-
-    timestamp = Column(TIMESTAMP)
-    is_view = False
-
-    def __repr__(self):
-        """
-        A lazy __repr__ inspired by https://stackoverflow.com/a/60087190
-        """
-        D = self.__dict__
-        attributes = [
-            f"{k}={D.get(k)}" for k in self.__dir__() if not k.startswith("_")
-        ]
-        attributes_string = ", ".join(attributes)
-        return f"{self.__class__.__name__}({attributes_string})"  # noqa
diff --git a/flask_api.py b/flask_api.py
index c032d94..5cb5d57 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -94,7 +94,26 @@ def init_nimbus_db():
             nimbus = Nimbus(db)
 
 
-@app.errorhandler(OperationalError)
+# Replace with actual database logging!
+def Log_Error(error):
+    # Log Question Exception Pair
+
+    CYAN_COLOR_CODE = "\033[96m"
+    YELLOW_COLOR_CODE = "\033[93m"
+    RESET_COLOR_CODE = "\033[00m"
+
+    EntryLog = {
+        "question"   : "Unknown",
+        "error_code" : type(error).__name__,
+        "stacktrace" : traceback.format_exc(),
+        "message"    : str(error)
+    }
+
+    print("{}{}{}".format(
+            CYAN_COLOR_CODE, json.dumps(EntryLog, indent=4), RESET_COLOR_CODE)
+    )
+
+
 def handle_database_error(error):
     global db
     if db is None:
@@ -108,21 +127,12 @@ def handle_database_error(error):
         db = None
         init_nimbus_db()
 
-#Flask Based catchall (Doesn't seem to catch db Errors properly)
-#https://stackoverflow.com/questions/29332056/global-error-handler-for-any-exception#29332131
+
 @app.errorhandler(Exception)
-def handle_error(e):
-    code = 500
-    YELLOW_COLOR_CODE = "\033[93m"
-    RESET_COLOR_CODE = "\033[00m"
-    print(
-        "{}In catch-all handler!{}".format(
-            YELLOW_COLOR_CODE, RESET_COLOR_CODE
-        )
-    )
-    if isinstance(e, HTTPException):
-        code = e.code
-    return jsonify(error=str(e)), code
+def handle_all_errors(e):
+    if isinstance(e, OperationalError):
+        handle_database_error(e)
+    Log_Error(e)
 
 
 @app.route("/", methods=["GET", "POST"])
@@ -134,6 +144,7 @@ def hello():
         request_body = request.get_json()
         return jsonify({"you sent": request_body}), SUCCESS
     else:
+
         response_json = jsonify({"name": "hello {}".format(str(app))})
         return response_json, SUCCESS
 
@@ -141,12 +152,6 @@ def hello():
 def generate_session_token() -> str:
     return "SOME_NEW_TOKEN"
 
-# Stores Question Error in database
-def question_error(error, question):
-    feedback_saved = db.insert_entity(ErrorLog, {"question": question, "error_code":"TODO", "stacktrace":"TODO" })
-
-
-
 
 @app.route("/ask", methods=["POST"])
 def handle_question():
@@ -172,37 +177,16 @@ def handle_question():
         feedback_saved = db.insert_entity(QuestionLog, {"question": question})
     except (Exception) as e:
         print("Could not store question upon user ask: ", str(e))
-    
+
+    #############################################################
+    # REMOVE! Included just so Errors will still be raised!
+    response = {"answer": nimbus.answer_question(question)}
+    #############################################################
     try:
         response = {"answer": nimbus.answer_question(question)}
     except (Exception) as e:
-
-        CYAN_COLOR_CODE = "\033[96m"
-        YELLOW_COLOR_CODE = "\033[93m"
-        RESET_COLOR_CODE = "\033[00m"
-
-        def catchall_Ans_retreival_exception():
-            
-            # Log Question Exception Pair
-            # feedback_saved = db.insert_entity(ErrorLog, {"question": question})
-            response = {"answer": "oops, something went wrong... Try another question"}
-            print("question: {}{}{}".format(
-                    CYAN_COLOR_CODE, question, RESET_COLOR_CODE)
-            ) 
-            print("error_code: {}{}{}".format(
-                    YELLOW_COLOR_CODE, type(e).__name__, RESET_COLOR_CODE)
-            )
-            print("stacktrace: {}{}{}".format(
-                    CYAN_COLOR_CODE, traceback.format_exc(), RESET_COLOR_CODE)
-            )
-            print("message: {}{}{}".format(
-                    YELLOW_COLOR_CODE, str(e), RESET_COLOR_CODE)
-            )
-            #feedback_saved = db.insert_entity(ErrorLog, {"question": question, "error_code":"sdafas", "stacktrace":"fdsadfdsfs" })
-            return response
-
-        response = catchall_Ans_retreival_exception()
-        #abort(type(e).__name__)
+        response = {"answer": "oops, something went wrong... Try another question"}
+    #############################################################
 
     if "session" in request_body:
         response["session"] = request_body["session"]

From 3b31a53b948b9c16aafe8b686f165d1fd04c7794 Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Sun, 26 Jul 2020 00:37:23 -0700
Subject: [PATCH 253/272] =?UTF-8?q?Flask=20catchall=20is=20functional!?=
 =?UTF-8?q?=F0=9F=91=8C=20Just=20need=20database=20changes!?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 flask_api.py | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 5cb5d57..85424cc 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -96,21 +96,14 @@ def init_nimbus_db():
 
 # Replace with actual database logging!
 def Log_Error(error):
-    # Log Question Exception Pair
-
-    CYAN_COLOR_CODE = "\033[96m"
-    YELLOW_COLOR_CODE = "\033[93m"
-    RESET_COLOR_CODE = "\033[00m"
-
     EntryLog = {
         "question"   : "Unknown",
         "error_code" : type(error).__name__,
         "stacktrace" : traceback.format_exc(),
         "message"    : str(error)
     }
-
     print("{}{}{}".format(
-            CYAN_COLOR_CODE, json.dumps(EntryLog, indent=4), RESET_COLOR_CODE)
+            "\033[96m", json.dumps(EntryLog, indent=4), "\033[00m")
     )
 
 

From bb76bde0a7d8e71d504cc32d77d66027ca32d689 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@users.noreply.github.com>
Date: Sun, 26 Jul 2020 11:32:24 -0700
Subject: [PATCH 254/272] Update README.md

Added some clarification about setting up configs, and added recommendation to use Bash for Windows
---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a94ac5e..6288667 100644
--- a/README.md
+++ b/README.md
@@ -41,10 +41,12 @@ Official API for the [NIMBUS Voice Assistant](https://github.com/calpoly-csai/CS
 3. git (can you run `git --version`?) (we're using 2.25.1 on gce, but any version will *almost certainly* work)
 4. Access to database credentials/api keys (contact us)
 
-
+If you're running Windows, we recommend (it is not required) setting up the [Windows subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/install-win10).
 
 ### Database Configuration
 
+**There are THREE ways to get your database config setup. If you're a member of CSAI, there's a script to generate a config file - contact a club member to get access to it. ** 
+
 **Create a file** called `config.json` that should include at least the following details of a MySQL database:
 ```json
 {

From be9efda214894bdf09ac9f19730cbbf932374069 Mon Sep 17 00:00:00 2001
From: Mason McElvain <52104630+masonmcelvain@users.noreply.github.com>
Date: Sun, 26 Jul 2020 15:12:32 -0700
Subject: [PATCH 255/272] Created endpoint for fetching entity information for
 use in autocompletion in the validator app

---
 Entity/Clubs.py   |  1 +
 Entity/Courses.py |  1 +
 flask_api.py      | 16 ++++++++++++++++
 3 files changed, 18 insertions(+)

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index 34bfa4e..7d4239e 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -19,6 +19,7 @@ class Clubs(Base):
     advisor = Column(String(255))
     affiliation = Column(String(255))
     is_view = False
+    synonyms = ["frat", "extracurricular", "group"]
 
     def __repr__(self):
         D = self.__dict__
diff --git a/Entity/Courses.py b/Entity/Courses.py
index 43e0cee..80cc317 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -36,6 +36,7 @@ class Courses(Base):
     ge_areas = Column(Text)
     desc = Column(Text)
     is_view = False
+    synonyms = ["class", "lesson", "lecture", "lab"]
 
     def __repr__(self):
         return "<Courses (dept={}, course_num={})>".format(self.dept, self.course_num)
diff --git a/flask_api.py b/flask_api.py
index 339936e..ade7c76 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -315,6 +315,22 @@ def delete_query_phrase():
         else ("Failed to delete phrase", SERVER_ERROR)
     )
 
+@app.route("/entity_structure", methods=["GET"])
+def get_entity_structure():
+    
+    def get_class_info(entity):
+        keys = list(filter(lambda key: not key[0] == '_', entity.__dict__.keys()))
+        return {
+            "props": keys,
+            "synonyms": entity.synonyms
+            }
+
+    props = {
+        "courses": get_class_info(Courses),
+        "clubs": get_class_info(Clubs)
+        }
+    return jsonify(props)
+
 
 @app.route("/new_data/feedback", methods=["POST"])
 def save_feedback():

From 9d0253697cce402e9bbde2512b6e0b6bc5d34848 Mon Sep 17 00:00:00 2001
From: Mason McElvain <52104630+masonmcelvain@users.noreply.github.com>
Date: Tue, 28 Jul 2020 19:54:44 -0700
Subject: [PATCH 256/272] Updated synonyms and prop names

Co-authored-by: Kalen Goo <kgoo@calpoly.edu>
---
 flask_api.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index ade7c76..a67b0e4 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -326,8 +326,8 @@ def get_class_info(entity):
             }
 
     props = {
-        "courses": get_class_info(Courses),
-        "clubs": get_class_info(Clubs)
+        "COURSE": get_class_info(Courses),
+        "CLUB": get_class_info(Clubs)
         }
     return jsonify(props)
 

From ed702aaa3917f0f96e7243f37b406cc1a93d68ec Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Thu, 30 Jul 2020 23:47:18 -0700
Subject: [PATCH 257/272] After Database change:

---
 Entity/ErrorLog.py     |  5 ---
 Entity/ExpectedKeys.py | 22 ++++++----
 database_wrapper.py    | 18 ++++++--
 flask_api.py           | 97 +++++++++++++++++++++---------------------
 4 files changed, 78 insertions(+), 64 deletions(-)

diff --git a/Entity/ErrorLog.py b/Entity/ErrorLog.py
index fb06690..490bc21 100644
--- a/Entity/ErrorLog.py
+++ b/Entity/ErrorLog.py
@@ -4,16 +4,11 @@
 Base = declarative_base()
 
 
-# EDITED Version of QuestionLog
 class ErrorLog(Base):
     __tablename__ = "ErrorLog"
     id = Column(Integer, primary_key=True)
     question = Column(Text)
-    
-    # ADDED
-    error_code = Column(Text)
     stacktrace = Column(Text)
-
     timestamp = Column(TIMESTAMP)
     is_view = False
 
diff --git a/Entity/ExpectedKeys.py b/Entity/ExpectedKeys.py
index 17db6e3..2a0ada2 100644
--- a/Entity/ExpectedKeys.py
+++ b/Entity/ExpectedKeys.py
@@ -7,6 +7,7 @@
 from Entity.Calendars import Calendars
 from Entity.Clubs import Clubs
 from Entity.Courses import Courses
+from Entity.ErrorLog import ErrorLog
 from Entity.Locations import Locations
 from Entity.QueryFeedback import QueryFeedback
 from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
@@ -66,10 +67,15 @@
         'ge_areas',
         'desc',
     ],
+    ErrorLog: [
+        "question",
+        "stacktrace",
+        "timestamp",
+    ],
     Locations: [
-        "building_number", 
-        "name", 
-        "longitude", 
+        "building_number",
+        "name",
+        "longitude",
         "latitude",
     ],
     Sections: [
@@ -94,13 +100,13 @@
         "answer_format",
     ],
     QueryFeedback: [
-        "question", 
-        "answer", 
-        "answer_type", 
+        "question",
+        "answer",
+        "answer_type",
         "timestamp",
     ],
     QuestionLog: [
-        "question", 
+        "question",
         "timestamp",
     ],
     Professors: [
@@ -111,4 +117,4 @@
         "research_interests",
         "office",
     ]
-}
\ No newline at end of file
+}
diff --git a/database_wrapper.py b/database_wrapper.py
index 9ceb46f..18e04e3 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -25,6 +25,7 @@
 from Entity.AudioSampleMetaData import AudioSampleMetaData, NoiseLevel
 from Entity.Calendars import Calendars
 from Entity.Courses import Courses
+from Entity.ErrorLog import ErrorLog
 from Entity.Locations import Locations
 from Entity.QuestionAnswerPair import QuestionAnswerPair, AnswerType
 from Entity.QueryFeedback import QueryFeedback
@@ -36,7 +37,6 @@
 from Entity.ProfessorSectionView import ProfessorSectionView
 from Entity.OfficeHours import OfficeHours
 from Entity.QuestionLog import QuestionLog
-from Entity.ErrorLog import ErrorLog
 from Entity.ExpectedKeys import EXPECTED_KEYS_BY_ENTITY
 
 from fuzzywuzzy import fuzz
@@ -575,6 +575,7 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
             QuestionAnswerPair: self.format_query_phrase_dict,
             QueryFeedback: self.format_query_feedback_dict,
             QuestionLog: self.format_question_log,
+            ErrorLog: self.format_error_log,
         }
 
         # Format data (if needed), and validate data
@@ -608,7 +609,7 @@ def add_entity(self, entity) -> bool:
             return False
         return True
 
-    def insert_entity(self, entity_type, data_dict: dict) -> bool:
+    def insert_entity(self, entity_type, data_dict: dict) -> Entity:
         """
         Inserts an entity into the database. The keys of data_dict should follow camelCase
         so they can be translated into snake_case.
@@ -667,7 +668,7 @@ def insert_entity(self, entity_type, data_dict: dict) -> bool:
         self.session.commit()
         print("{}Saved!\n{}".format(GREEN_COLOR_CODE, RESET_COLOR_CODE))
 
-        return True
+        return entity
 
     def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bool:
         """
@@ -893,6 +894,17 @@ def format_question_log(self, question_info: dict) -> dict:
             "timestamp": datetime.datetime.now(),
         }
 
+    def format_error_log(self, error_info: dict) -> dict:
+        """
+        Extracts question data from the provided dictionary to upload data to the server.
+        """
+
+        return {
+            "question": error_info["question"],
+            "stacktrace": error_info["stacktrace"],
+            "timestamp": datetime.datetime.now(),
+        }
+
     def __del__(self):
         print("NimbusMySQLAlchemy closed")
 
diff --git a/flask_api.py b/flask_api.py
index 85424cc..dc9ff0e 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -5,8 +5,7 @@
 """
 from sqlalchemy.exc import OperationalError
 
-#abort added
-from flask import Flask, jsonify, request, abort
+from flask import Flask, jsonify, request
 #traceback added for stacktrace logging
 import traceback
 
@@ -42,8 +41,6 @@
 from Entity.QuestionAnswerPair import QuestionAnswerPair
 from Entity.QueryFeedback import QueryFeedback
 from Entity.QuestionLog import QuestionLog
-
-# NOT NEEDED?
 from Entity.ErrorLog import ErrorLog
 
 from Entity.EntityToken import EntityToken
@@ -94,19 +91,6 @@ def init_nimbus_db():
             nimbus = Nimbus(db)
 
 
-# Replace with actual database logging!
-def Log_Error(error):
-    EntryLog = {
-        "question"   : "Unknown",
-        "error_code" : type(error).__name__,
-        "stacktrace" : traceback.format_exc(),
-        "message"    : str(error)
-    }
-    print("{}{}{}".format(
-            "\033[96m", json.dumps(EntryLog, indent=4), "\033[00m")
-    )
-
-
 def handle_database_error(error):
     global db
     if db is None:
@@ -121,11 +105,26 @@ def handle_database_error(error):
         init_nimbus_db()
 
 
+def log_error(error, question):
+    error_entry = {
+        "question" : question,
+        "stacktrace" : traceback.format_exc()
+    }
+    db.insert_entity(ErrorLog, error_entry)
+
+    # Remove?
+    # Adds cyan output to terminal running flask_api
+    print("{}{}{}".format(
+        "\033[96m", json.dumps(error_entry, indent=4), "\033[00m")
+    )
+
+
 @app.errorhandler(Exception)
 def handle_all_errors(e):
     if isinstance(e, OperationalError):
         handle_database_error(e)
-    Log_Error(e)
+    log_error(e, None)
+    return jsonify({"ErrorLog": type(e).__name__}), SUCCESS
 
 
 @app.route("/", methods=["GET", "POST"])
@@ -154,39 +153,41 @@ def handle_question():
     server are:
         * storage of the logs of this question-answer-session.
     """
-    init_nimbus_db()
+    try:
 
-    if request.is_json is False:
-        return "request must be JSON", BAD_REQUEST
+        init_nimbus_db()
 
-    request_body = request.get_json()
+        if request.is_json is False:
+            return "request must be JSON", BAD_REQUEST
 
-    question = request_body.get("question", None)
+        request_body = request.get_json()
 
-    if "question" not in request_body:
-        return "request body should include the question", BAD_REQUEST
+        question = request_body.get("question", None)
 
-    try:
-        feedback_saved = db.insert_entity(QuestionLog, {"question": question})
-    except (Exception) as e:
-        print("Could not store question upon user ask: ", str(e))
-
-    #############################################################
-    # REMOVE! Included just so Errors will still be raised!
-    response = {"answer": nimbus.answer_question(question)}
-    #############################################################
-    try:
-        response = {"answer": nimbus.answer_question(question)}
-    except (Exception) as e:
-        response = {"answer": "oops, something went wrong... Try another question"}
-    #############################################################
+        if "question" not in request_body:
+            return "request body should include the question", BAD_REQUEST
 
-    if "session" in request_body:
-        response["session"] = request_body["session"]
-    else:
-        response["session"] = generate_session_token()
+        try:
+            entity = db.insert_entity(QuestionLog, {"question": question})
+        except (Exception) as e:
+            print("Could not store question upon user ask: ", str(e))
 
-    return jsonify(response), SUCCESS
+        try:
+            response = {"answer": nimbus.answer_question(question)}
+        except (Exception) as e:
+            response = {"answer": "Sorry, unable to provide answer to question. Try another question"}
+
+        if "session" in request_body:
+            response["session"] = request_body["session"]
+        else:
+            response["session"] = generate_session_token()
+
+        return jsonify(response), SUCCESS
+
+    except Exception as e:
+        log_error(e, question)
+        response = {"answer": "oops, something went wrong... Try another question"}
+        return jsonify(response), SERVER_ERROR # Not sure about this being SERVER_ERROR
 
 
 @app.route("/new_data/wakeword", methods=["POST"])
@@ -282,7 +283,7 @@ def save_query_phrase():
     init_nimbus_db()
 
     try:
-        phrase_saved = db.insert_entity(QuestionAnswerPair, data)
+        entity_saved = db.insert_entity(QuestionAnswerPair, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
         return str(e), BAD_REQUEST
     except NimbusDatabaseError as e:
@@ -290,7 +291,7 @@ def save_query_phrase():
     except Exception as e:
         raise e
 
-    if phrase_saved:
+    if entity_saved:
         return "Phrase has been saved", SUCCESS
     else:
         return "An error was encountered while saving to database", SERVER_ERROR
@@ -372,7 +373,7 @@ def save_feedback():
     init_nimbus_db()
 
     try:
-        feedback_saved = db.insert_entity(QueryFeedback, data)
+        entity = db.insert_entity(QueryFeedback, data)
     except (BadDictionaryKeyError, BadDictionaryValueError) as e:
         return str(e), BAD_REQUEST
     except NimbusDatabaseError as e:
@@ -380,7 +381,7 @@ def save_feedback():
     except Exception as e:
         raise e
 
-    if feedback_saved:
+    if entity:
         return "Feedback has been saved", SUCCESS
     else:
         return "An error was encountered while saving to database", SERVER_ERROR

From 42011dba765d034c3ccb76b729b173e68aea3227 Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Fri, 31 Jul 2020 01:08:33 -0700
Subject: [PATCH 258/272] =?UTF-8?q?Database=20Errorlogging=20is=20function?=
 =?UTF-8?q?al=20=F0=9F=91=8D?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 flask_api.py | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index dc9ff0e..7b3bc8e 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -112,12 +112,6 @@ def log_error(error, question):
     }
     db.insert_entity(ErrorLog, error_entry)
 
-    # Remove?
-    # Adds cyan output to terminal running flask_api
-    print("{}{}{}".format(
-        "\033[96m", json.dumps(error_entry, indent=4), "\033[00m")
-    )
-
 
 @app.errorhandler(Exception)
 def handle_all_errors(e):
@@ -187,7 +181,7 @@ def handle_question():
     except Exception as e:
         log_error(e, question)
         response = {"answer": "oops, something went wrong... Try another question"}
-        return jsonify(response), SERVER_ERROR # Not sure about this being SERVER_ERROR
+        return jsonify(response), SERVER_ERROR # Should this really be SERVER_ERROR? 
 
 
 @app.route("/new_data/wakeword", methods=["POST"])

From 43e64bb80b7f5852da08ef0d9da2913e49eb6ea6 Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Sun, 2 Aug 2020 00:23:24 -0700
Subject: [PATCH 259/272] =?UTF-8?q?Quick=20TypeError=20fix=20in=20NLP=20?=
 =?UTF-8?q?=F0=9F=91=8D?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 nimbus_nlp/variable_extractor.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/nimbus_nlp/variable_extractor.py b/nimbus_nlp/variable_extractor.py
index 7567c25..c92c1ee 100644
--- a/nimbus_nlp/variable_extractor.py
+++ b/nimbus_nlp/variable_extractor.py
@@ -67,7 +67,7 @@ def extract_variables(self, sent):
                             "input question" - input question from the user
                             "normalized question" - variable-replaced question
         """
-        
+
         entity = ""
         tag = ""
         normalized_entity = ""
@@ -77,7 +77,7 @@ def extract_variables(self, sent):
         request = self.get_prediction(sent)
 
         # Input had detected entities
-        if (request.payload != []):
+        if request.payload:
 
             # Obtain the entity in the sentence
             entity = request.payload[0].text_extraction.text_segment.content
@@ -90,7 +90,7 @@ def extract_variables(self, sent):
 
             # Replaces the entity of input question with its corresponding tag
             normalized_question = sent.replace(entity, "[" + tag + "]")
-           
+
         return {
             "entity": entity,
             "tag": tag,

From 0da44b4ced053c2356f96dab92fdecc06ac32ddf Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Sun, 2 Aug 2020 13:49:37 -0700
Subject: [PATCH 260/272] =?UTF-8?q?Cast=20google-container=20type=20?=
 =?UTF-8?q?=E2=86=92=20list,=20Removed=20try-except=20in=20flask=5Fapi?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 flask_api.py                     | 8 +++-----
 nimbus_nlp/variable_extractor.py | 5 +++--
 2 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index 7b3bc8e..283ffc9 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -53,6 +53,7 @@
 SUCCESS = 200
 SERVER_ERROR = 500
 
+
 CONFIG_FILE_PATH = "config.json"
 
 app = Flask(__name__)
@@ -166,10 +167,7 @@ def handle_question():
         except (Exception) as e:
             print("Could not store question upon user ask: ", str(e))
 
-        try:
-            response = {"answer": nimbus.answer_question(question)}
-        except (Exception) as e:
-            response = {"answer": "Sorry, unable to provide answer to question. Try another question"}
+        response = {"answer": nimbus.answer_question(question)}
 
         if "session" in request_body:
             response["session"] = request_body["session"]
@@ -181,7 +179,7 @@ def handle_question():
     except Exception as e:
         log_error(e, question)
         response = {"answer": "oops, something went wrong... Try another question"}
-        return jsonify(response), SERVER_ERROR # Should this really be SERVER_ERROR? 
+        return jsonify(response), SERVER_ERROR 
 
 
 @app.route("/new_data/wakeword", methods=["POST"])
diff --git a/nimbus_nlp/variable_extractor.py b/nimbus_nlp/variable_extractor.py
index c92c1ee..65d6513 100644
--- a/nimbus_nlp/variable_extractor.py
+++ b/nimbus_nlp/variable_extractor.py
@@ -77,7 +77,7 @@ def extract_variables(self, sent):
         request = self.get_prediction(sent)
 
         # Input had detected entities
-        if request.payload:
+        if list(request.payload):
 
             # Obtain the entity in the sentence
             entity = request.payload[0].text_extraction.text_segment.content
@@ -86,7 +86,8 @@ def extract_variables(self, sent):
             tag = request.payload[0].display_name
 
             # Removes excessive words from the entity
-            normalized_entity = VariableExtractor.excess_word_removal(entity, tag)
+            normalized_entity = VariableExtractor.excess_word_removal(
+                entity, tag)
 
             # Replaces the entity of input question with its corresponding tag
             normalized_question = sent.replace(entity, "[" + tag + "]")

From 2f9315b8f9128c1f39d7a435c7884c9e8aab4f9b Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Sun, 2 Aug 2020 13:52:08 -0700
Subject: [PATCH 261/272] =?UTF-8?q?Cast=20google-container=20type=20?=
 =?UTF-8?q?=E2=86=92=20list,=20Removed=20try-except=20in=20flask=5Fapi?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 nimbus_nlp/variable_extractor.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/nimbus_nlp/variable_extractor.py b/nimbus_nlp/variable_extractor.py
index 65d6513..2316980 100644
--- a/nimbus_nlp/variable_extractor.py
+++ b/nimbus_nlp/variable_extractor.py
@@ -86,8 +86,7 @@ def extract_variables(self, sent):
             tag = request.payload[0].display_name
 
             # Removes excessive words from the entity
-            normalized_entity = VariableExtractor.excess_word_removal(
-                entity, tag)
+            normalized_entity = VariableExtractor.excess_word_removal(entity, tag)
 
             # Replaces the entity of input question with its corresponding tag
             normalized_question = sent.replace(entity, "[" + tag + "]")

From cf08cecf2df212b0da2d5cbd19e257d535ba850b Mon Sep 17 00:00:00 2001
From: Mason McElvain <masonmcelvain@users.noreply.github.com>
Date: Sun, 2 Aug 2020 13:59:31 -0700
Subject: [PATCH 262/272] skeleton of entity synonyms retrieval

Co-authored-by: Kalen Goo <kgoo@calpoly.edu>
---
 Entity/EntitySynonyms.py | 30 ++++++++++++++++++++++++++++++
 database_wrapper.py      | 12 ++++++++++++
 flask_api.py             |  6 +++---
 3 files changed, 45 insertions(+), 3 deletions(-)
 create mode 100644 Entity/EntitySynonyms.py

diff --git a/Entity/EntitySynonyms.py b/Entity/EntitySynonyms.py
new file mode 100644
index 0000000..63bf997
--- /dev/null
+++ b/Entity/EntitySynonyms.py
@@ -0,0 +1,30 @@
+from sqlalchemy import Column, ForeignKey, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+from Entity.EntityToken import EntityToken # unsure about this import
+
+Base = declarative_base()
+
+
+class EntitySynonyms(EntityToken, Base):
+    __tablename__ = "EntitySynonyms"
+    __mapper_args__ = {"concrete": True}
+    id = Column(Integer, primary_key=True)
+    synonym = Column(String(64))
+    entity = Column(String(64), ForeignKey("EntityToken.id"))
+
+    def validate(self, data):
+        required_fields = ["id", "synonym", "entity"]
+        for field in required_fields:
+            if field not in data:
+                raise Exception(
+                    f"Required field `{field}` wasn't provided. Please provide the following[{required_fields}]"
+                )
+
+    def format(self, data) -> dict:
+        form = data.copy()
+        for key in form:
+            form[key] = str(form[key])
+        return form
+
+    def get_data(self):
+        return {"synonym": self.synonym, "entity": self.entity, "id": self.id}
diff --git a/database_wrapper.py b/database_wrapper.py
index c173e35..6f5a0fa 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -37,6 +37,7 @@
 from Entity.OfficeHours import OfficeHours
 from Entity.QuestionLog import QuestionLog
 from Entity.ExpectedKeys import EXPECTED_KEYS_BY_ENTITY
+from Entity.EntitySynonyms import EntitySynonyms
 
 from fuzzywuzzy import fuzz
 
@@ -442,6 +443,17 @@ def get_all_answerable_pairs(self):
 
         return true_result
 
+    def get_entity_synonyms(self):
+        # TODO: Make this function retrieve the synonyms from the database
+        entity_synonyms = EntitySynonyms
+
+        query_session = self.session.query(
+            qa_entity.question_format, qa_entity.answer_format
+        )
+        result = query_session.all()
+
+        return result
+
     def return_qa_pair_csv(self):
         data = self.get_all_qa_pairs()
 
diff --git a/flask_api.py b/flask_api.py
index a67b0e4..b66348a 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -321,15 +321,15 @@ def get_entity_structure():
     def get_class_info(entity):
         keys = list(filter(lambda key: not key[0] == '_', entity.__dict__.keys()))
         return {
-            "props": keys,
+            "attributes": keys,
             "synonyms": entity.synonyms
             }
 
-    props = {
+    entities = {
         "COURSE": get_class_info(Courses),
         "CLUB": get_class_info(Clubs)
         }
-    return jsonify(props)
+    return jsonify(entities)
 
 
 @app.route("/new_data/feedback", methods=["POST"])

From ccc93e8feb78d7bfd5e487d0cb283309f20575b2 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 9 Aug 2020 13:01:48 -0700
Subject: [PATCH 263/272] Updated workflow to use secret, cron now outputs
 reasonably

---
 .github/workflows/gce.yaml  | 2 +-
 letsencrypt-backup-tar.cron | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/gce.yaml b/.github/workflows/gce.yaml
index 4217f4f..4b1a372 100644
--- a/.github/workflows/gce.yaml
+++ b/.github/workflows/gce.yaml
@@ -21,7 +21,7 @@ on:
 
 env:
   GCE_PROJECT: ${{ secrets.GCE_PROJECT }}
-  GCE_INSTANCE: nimbus-api-test
+  GCE_INSTANCE: ${{ secrets.INSTANCE_NAME }}
   GCE_INSTANCE_ZONE: us-west1-b # e.g. us-central1-a
   # environment variables for the build
   DATABASE_HOSTNAME: ${{ secrets.DATABASE_HOSTNAME }}
diff --git a/letsencrypt-backup-tar.cron b/letsencrypt-backup-tar.cron
index 8fdf86a..3e1a3be 100644
--- a/letsencrypt-backup-tar.cron
+++ b/letsencrypt-backup-tar.cron
@@ -1 +1 @@
-0 15 * * * /nimbus/cert-update.sh
+0 15 * * * /nimbus/cert-update.sh > stdout

From ce80333dbea75adbafcfabeba03ae188edfb067c Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 9 Aug 2020 14:15:54 -0700
Subject: [PATCH 264/272] Updated to work properly with SSH cert. Moved scripts
 to certs directory.

---
 Dockerfile                                           | 2 +-
 letsencrypt-backup-tar.cron                          | 1 -
 cert-update.sh => scripts/cert-update.sh             | 4 ++++
 gce_deploy.sh => scripts/gce_deploy.sh               | 0
 scripts/letsencrypt-backup-tar.cron                  | 1 +
 setup_letsencrypt.sh => scripts/setup_letsencrypt.sh | 4 ++--
 6 files changed, 8 insertions(+), 4 deletions(-)
 delete mode 100644 letsencrypt-backup-tar.cron
 rename cert-update.sh => scripts/cert-update.sh (75%)
 mode change 100755 => 100644
 rename gce_deploy.sh => scripts/gce_deploy.sh (100%)
 mode change 100755 => 100644
 create mode 100644 scripts/letsencrypt-backup-tar.cron
 rename setup_letsencrypt.sh => scripts/setup_letsencrypt.sh (87%)
 mode change 100755 => 100644

diff --git a/Dockerfile b/Dockerfile
index 5d4c905..6f08bda 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -89,7 +89,7 @@ WORKDIR /nimbus
 RUN ls -lah /usr/lib/python3/dist-packages/
 
 # setup SSH keys correctly
-RUN /nimbus/setup_letsencrypt.sh
+RUN /nimbus/scripts/setup_letsencrypt.sh
 
 # the gunicorn_config.py will check the env vars for PORT
 # else it will do port=8080
diff --git a/letsencrypt-backup-tar.cron b/letsencrypt-backup-tar.cron
deleted file mode 100644
index 3e1a3be..0000000
--- a/letsencrypt-backup-tar.cron
+++ /dev/null
@@ -1 +0,0 @@
-0 15 * * * /nimbus/cert-update.sh > stdout
diff --git a/cert-update.sh b/scripts/cert-update.sh
old mode 100755
new mode 100644
similarity index 75%
rename from cert-update.sh
rename to scripts/cert-update.sh
index f90b490..9071ba0
--- a/cert-update.sh
+++ b/scripts/cert-update.sh
@@ -1,5 +1,9 @@
 #!/bin/bash
 
+eval `ssh-agent`
+ssh-keyscan -H github.com >> ~/.ssh/known_hosts
+ssh-add /nimbus/id_rsa
+
 certbot renew
 cd /api-certificates
 git pull
diff --git a/gce_deploy.sh b/scripts/gce_deploy.sh
old mode 100755
new mode 100644
similarity index 100%
rename from gce_deploy.sh
rename to scripts/gce_deploy.sh
diff --git a/scripts/letsencrypt-backup-tar.cron b/scripts/letsencrypt-backup-tar.cron
new file mode 100644
index 0000000..74b6844
--- /dev/null
+++ b/scripts/letsencrypt-backup-tar.cron
@@ -0,0 +1 @@
+0 15 * * * /nimbus/scripts/cert-update.sh > stdout
diff --git a/setup_letsencrypt.sh b/scripts/setup_letsencrypt.sh
old mode 100755
new mode 100644
similarity index 87%
rename from setup_letsencrypt.sh
rename to scripts/setup_letsencrypt.sh
index 44099c3..235081e
--- a/setup_letsencrypt.sh
+++ b/scripts/setup_letsencrypt.sh
@@ -11,8 +11,8 @@ git config --global user.email "cpcsai.nimbus@gmail.com"
 git config --global user.name "GCE_GIT_BOT"
 cd /api-certificates
 tar xvf letsencrypt_backup.tar -C /
-crontab /nimbus/letsencrypt-backup-tar.cron
+crontab /nimbus/scripts/letsencrypt-backup-tar.cron
 # updating the certs is free, and shouldn't actually happen if the above has all
 # been successful.  This avoids us not updating if deploys interrupt the update
 # from happening.
-/bin/bash /nimbus/cert-update.sh
+/bin/bash /nimbus/scripts/cert-update.sh

From 4bf555f583a13b995d63558ea57b1807a82f0e5b Mon Sep 17 00:00:00 2001
From: GCE_GIT_BOT <cpcsai.nimbus@gmail.com>
Date: Sun, 9 Aug 2020 16:58:56 -0700
Subject: [PATCH 265/272] made some scripts executable, because git made them
 not executable when moved

---
 scripts/cert-update.sh       | 0
 scripts/setup_letsencrypt.sh | 0
 2 files changed, 0 insertions(+), 0 deletions(-)
 mode change 100644 => 100755 scripts/cert-update.sh
 mode change 100644 => 100755 scripts/setup_letsencrypt.sh

diff --git a/scripts/cert-update.sh b/scripts/cert-update.sh
old mode 100644
new mode 100755
diff --git a/scripts/setup_letsencrypt.sh b/scripts/setup_letsencrypt.sh
old mode 100644
new mode 100755

From 14d6ec9d95e6784bcb209131b386bc1a283c3435 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 9 Aug 2020 17:25:37 -0700
Subject: [PATCH 266/272] Update git url

---
 scripts/setup_letsencrypt.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/setup_letsencrypt.sh b/scripts/setup_letsencrypt.sh
index 235081e..668c774 100755
--- a/scripts/setup_letsencrypt.sh
+++ b/scripts/setup_letsencrypt.sh
@@ -6,7 +6,7 @@ cd /
 mkdir ~/.ssh
 ssh-keyscan -H github.com >> ~/.ssh/known_hosts
 ssh-add /nimbus/id_rsa
-git clone git@github.com:CalPolyCSAI/api-certificates.git
+git clone git@github.com:calpoly-csai/api-certificates.git
 git config --global user.email "cpcsai.nimbus@gmail.com"
 git config --global user.name "GCE_GIT_BOT"
 cd /api-certificates

From 05122b1a003f024c80ac4942c6fd15a65fb66fa4 Mon Sep 17 00:00:00 2001
From: Mason McElvain <masonmcelvain@users.noreply.github.com>
Date: Tue, 11 Aug 2020 18:38:12 -0700
Subject: [PATCH 267/272] Synonyms in place for locations and profs

Co-authored-by: Kalen Goo <kgoo@calpoly.edu>
---
 Entity/Clubs.py          |  2 +-
 Entity/Courses.py        |  2 +-
 Entity/EntitySynonyms.py | 30 ------------------------------
 Entity/Locations.py      |  1 +
 Entity/Professors.py     |  2 ++
 Entity/Profs.py          |  1 +
 database_wrapper.py      | 11 -----------
 flask_api.py             |  4 +++-
 8 files changed, 9 insertions(+), 44 deletions(-)
 delete mode 100644 Entity/EntitySynonyms.py

diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index 7d4239e..e2aa5d8 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -19,7 +19,7 @@ class Clubs(Base):
     advisor = Column(String(255))
     affiliation = Column(String(255))
     is_view = False
-    synonyms = ["frat", "extracurricular", "group"]
+    synonyms = ["fraternities", "sororities", "organizations", "extracurriculars", "groups"]
 
     def __repr__(self):
         D = self.__dict__
diff --git a/Entity/Courses.py b/Entity/Courses.py
index 80cc317..0e8b337 100644
--- a/Entity/Courses.py
+++ b/Entity/Courses.py
@@ -36,7 +36,7 @@ class Courses(Base):
     ge_areas = Column(Text)
     desc = Column(Text)
     is_view = False
-    synonyms = ["class", "lesson", "lecture", "lab"]
+    synonyms = ["classes", "lessons", "lectures", "labs", "laboratories"]
 
     def __repr__(self):
         return "<Courses (dept={}, course_num={})>".format(self.dept, self.course_num)
diff --git a/Entity/EntitySynonyms.py b/Entity/EntitySynonyms.py
deleted file mode 100644
index 63bf997..0000000
--- a/Entity/EntitySynonyms.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from sqlalchemy import Column, ForeignKey, Integer, String, Text
-from sqlalchemy.ext.declarative import declarative_base
-from Entity.EntityToken import EntityToken # unsure about this import
-
-Base = declarative_base()
-
-
-class EntitySynonyms(EntityToken, Base):
-    __tablename__ = "EntitySynonyms"
-    __mapper_args__ = {"concrete": True}
-    id = Column(Integer, primary_key=True)
-    synonym = Column(String(64))
-    entity = Column(String(64), ForeignKey("EntityToken.id"))
-
-    def validate(self, data):
-        required_fields = ["id", "synonym", "entity"]
-        for field in required_fields:
-            if field not in data:
-                raise Exception(
-                    f"Required field `{field}` wasn't provided. Please provide the following[{required_fields}]"
-                )
-
-    def format(self, data) -> dict:
-        form = data.copy()
-        for key in form:
-            form[key] = str(form[key])
-        return form
-
-    def get_data(self):
-        return {"synonym": self.synonym, "entity": self.entity, "id": self.id}
diff --git a/Entity/Locations.py b/Entity/Locations.py
index 4fd74ee..5b5160b 100644
--- a/Entity/Locations.py
+++ b/Entity/Locations.py
@@ -12,6 +12,7 @@ class Locations(Base):
     longitude = Column(String(255))
     latitude = Column(String(255))
     is_view = False
+    synonyms = ["locations", "secret hideout", "secret_hideout", "rooms", "offices", "buildings", "labs", "laboratory", "laboratories", "units", "north", "west", "south", "east", "centers"]
 
     def __repr__(self):
         return "<Locations (building_number = {}, name = {}, longitude = {}, latitude = {})>".format(
diff --git a/Entity/Professors.py b/Entity/Professors.py
index bce9aab..563dbfb 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -15,6 +15,8 @@ class Professors(Base):
     research_interests = Column(Text)
     email = Column(String(255))
     is_view = False
+    synonyms = ["professors", "teachers", "lecturers", "faculty", "staff", "administration", "instructors", "educators", "TA"]
+
 
     def __str__(self):
         return self.__repr__()
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 23c881a..82784a0 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -19,6 +19,7 @@ class Profs(Base):
     department = Column(String(255))
     title = Column(String(255))
     is_view = True
+    synonyms = ["professors", "teachers", "lecturers", "faculty", "staff", "administration", "instructors", "educators", "TA"]
 
     def __repr__(self):
         D = self.__dict__
diff --git a/database_wrapper.py b/database_wrapper.py
index 6f5a0fa..17d8e21 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -443,17 +443,6 @@ def get_all_answerable_pairs(self):
 
         return true_result
 
-    def get_entity_synonyms(self):
-        # TODO: Make this function retrieve the synonyms from the database
-        entity_synonyms = EntitySynonyms
-
-        query_session = self.session.query(
-            qa_entity.question_format, qa_entity.answer_format
-        )
-        result = query_session.all()
-
-        return result
-
     def return_qa_pair_csv(self):
         data = self.get_all_qa_pairs()
 
diff --git a/flask_api.py b/flask_api.py
index b66348a..f974d60 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -327,7 +327,9 @@ def get_class_info(entity):
 
     entities = {
         "COURSE": get_class_info(Courses),
-        "CLUB": get_class_info(Clubs)
+        "CLUB": get_class_info(Clubs),
+        "PROF": get_class_info(Professors),
+        "LOCATION": get_class_info(Locations)
         }
     return jsonify(entities)
 

From 5a9426a89328235fb259a3c2302e023dc7bffea4 Mon Sep 17 00:00:00 2001
From: Mason McElvain <masonmcelvain@users.noreply.github.com>
Date: Tue, 11 Aug 2020 18:40:05 -0700
Subject: [PATCH 268/272] remove bad import

---
 database_wrapper.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 17d8e21..c173e35 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -37,7 +37,6 @@
 from Entity.OfficeHours import OfficeHours
 from Entity.QuestionLog import QuestionLog
 from Entity.ExpectedKeys import EXPECTED_KEYS_BY_ENTITY
-from Entity.EntitySynonyms import EntitySynonyms
 
 from fuzzywuzzy import fuzz
 

From 36fb2d772adfcacc59c3fd7b002006dfb4cc3c3f Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Sun, 23 Aug 2020 14:23:45 -0700
Subject: [PATCH 269/272] Handle InvalidRequestErrors by re-initializing the
 database session.

---
 Entity/AudioSampleMetaData.py     |  2 +-
 Entity/Clubs.py                   |  8 ++++-
 Entity/Corrections.py             |  2 +-
 Entity/ExpectedKeys.py            | 59 ++++++++++---------------------
 Entity/Locations.py               | 18 +++++++++-
 Entity/Prerequisites.py           |  2 +-
 Entity/Professors.py              | 13 +++++--
 Entity/Profs.py                   | 12 ++++++-
 QA.py                             | 26 +++++++-------
 build.py                          | 16 +++++----
 database_wrapper.py               | 48 ++++++++++++-------------
 flask_api.py                      | 37 ++++++++-----------
 gunicorn_config.py                |  2 +-
 modules/validators.py             |  4 +--
 nimbus.py                         |  1 -
 nimbus_nlp/question_classifier.py | 16 +++++----
 test.py                           | 12 +++----
 tests/test_database_wrapper.py    | 10 +++---
 tests/test_flask_api.py           | 49 +++++++++++++++++--------
 tests/test_validators.py          | 49 +++++++++++++------------
 20 files changed, 210 insertions(+), 176 deletions(-)

diff --git a/Entity/AudioSampleMetaData.py b/Entity/AudioSampleMetaData.py
index 2cf281e..753df0b 100644
--- a/Entity/AudioSampleMetaData.py
+++ b/Entity/AudioSampleMetaData.py
@@ -48,5 +48,5 @@ def __repr__(self):
             self.username,
             self.emphasis,
             self.script,
-            self.audio_file_id
+            self.audio_file_id,
         )
diff --git a/Entity/Clubs.py b/Entity/Clubs.py
index e2aa5d8..0161f31 100644
--- a/Entity/Clubs.py
+++ b/Entity/Clubs.py
@@ -19,7 +19,13 @@ class Clubs(Base):
     advisor = Column(String(255))
     affiliation = Column(String(255))
     is_view = False
-    synonyms = ["fraternities", "sororities", "organizations", "extracurriculars", "groups"]
+    synonyms = [
+        "fraternities",
+        "sororities",
+        "organizations",
+        "extracurriculars",
+        "groups",
+    ]
 
     def __repr__(self):
         D = self.__dict__
diff --git a/Entity/Corrections.py b/Entity/Corrections.py
index 440e7f8..a02906e 100644
--- a/Entity/Corrections.py
+++ b/Entity/Corrections.py
@@ -12,4 +12,4 @@ def __init__(
         self.correction_text = correctionText
         self.table_name_to_correct = tableNameToCorrect
         self.column_name_to_correct = columnNameToCorrect
-        self.is_view = False
\ No newline at end of file
+        self.is_view = False
diff --git a/Entity/ExpectedKeys.py b/Entity/ExpectedKeys.py
index 2a0ada2..5d03f53 100644
--- a/Entity/ExpectedKeys.py
+++ b/Entity/ExpectedKeys.py
@@ -33,7 +33,7 @@
         "username",
         "audio_file_id",
         "script",
-        "emphasis"
+        "emphasis",
     ],
     Clubs: [
         "club_name",
@@ -47,37 +47,22 @@
         "advisor",
         "affiliation",
     ],
-    Calendars: [
-        'date',
-        'day',
-        'month',
-        'year',
-        'raw_events_text',
-    ],
+    Calendars: ["date", "day", "month", "year", "raw_events_text",],
     Courses: [
-        'dept',
-        'course_num',
-        'course_name',
-        'units',
-        'prerequisites',
-        'corequisites',
-        'concurrent',
-        'recommended',
-        'terms_offered',
-        'ge_areas',
-        'desc',
-    ],
-    ErrorLog: [
-        "question",
-        "stacktrace",
-        "timestamp",
-    ],
-    Locations: [
-        "building_number",
-        "name",
-        "longitude",
-        "latitude",
+        "dept",
+        "course_num",
+        "course_name",
+        "units",
+        "prerequisites",
+        "corequisites",
+        "concurrent",
+        "recommended",
+        "terms_offered",
+        "ge_areas",
+        "desc",
     ],
+    ErrorLog: ["question", "stacktrace", "timestamp",],
+    Locations: ["building_number", "name", "longitude", "latitude",],
     Sections: [
         "section_name",
         "instructor",
@@ -99,16 +84,8 @@
         "question_format",
         "answer_format",
     ],
-    QueryFeedback: [
-        "question",
-        "answer",
-        "answer_type",
-        "timestamp",
-    ],
-    QuestionLog: [
-        "question",
-        "timestamp",
-    ],
+    QueryFeedback: ["question", "answer", "answer_type", "timestamp",],
+    QuestionLog: ["question", "timestamp",],
     Professors: [
         "first_name",
         "last_name",
@@ -116,5 +93,5 @@
         "email",
         "research_interests",
         "office",
-    ]
+    ],
 }
diff --git a/Entity/Locations.py b/Entity/Locations.py
index 5b5160b..b32c477 100644
--- a/Entity/Locations.py
+++ b/Entity/Locations.py
@@ -12,7 +12,23 @@ class Locations(Base):
     longitude = Column(String(255))
     latitude = Column(String(255))
     is_view = False
-    synonyms = ["locations", "secret hideout", "secret_hideout", "rooms", "offices", "buildings", "labs", "laboratory", "laboratories", "units", "north", "west", "south", "east", "centers"]
+    synonyms = [
+        "locations",
+        "secret hideout",
+        "secret_hideout",
+        "rooms",
+        "offices",
+        "buildings",
+        "labs",
+        "laboratory",
+        "laboratories",
+        "units",
+        "north",
+        "west",
+        "south",
+        "east",
+        "centers",
+    ]
 
     def __repr__(self):
         return "<Locations (building_number = {}, name = {}, longitude = {}, latitude = {})>".format(
diff --git a/Entity/Prerequisites.py b/Entity/Prerequisites.py
index 86b3f66..e7f1197 100644
--- a/Entity/Prerequisites.py
+++ b/Entity/Prerequisites.py
@@ -2,4 +2,4 @@ class Prerequisites:
     def __init__(self, courseId, prereqCourse):
         self.courseId = courseId
         self.prereqCourse = prereqCourse
-        self.is_view = False
\ No newline at end of file
+        self.is_view = False
diff --git a/Entity/Professors.py b/Entity/Professors.py
index 563dbfb..1a607cd 100644
--- a/Entity/Professors.py
+++ b/Entity/Professors.py
@@ -15,8 +15,17 @@ class Professors(Base):
     research_interests = Column(Text)
     email = Column(String(255))
     is_view = False
-    synonyms = ["professors", "teachers", "lecturers", "faculty", "staff", "administration", "instructors", "educators", "TA"]
-
+    synonyms = [
+        "professors",
+        "teachers",
+        "lecturers",
+        "faculty",
+        "staff",
+        "administration",
+        "instructors",
+        "educators",
+        "TA",
+    ]
 
     def __str__(self):
         return self.__repr__()
diff --git a/Entity/Profs.py b/Entity/Profs.py
index 82784a0..b7fb766 100644
--- a/Entity/Profs.py
+++ b/Entity/Profs.py
@@ -19,7 +19,17 @@ class Profs(Base):
     department = Column(String(255))
     title = Column(String(255))
     is_view = True
-    synonyms = ["professors", "teachers", "lecturers", "faculty", "staff", "administration", "instructors", "educators", "TA"]
+    synonyms = [
+        "professors",
+        "teachers",
+        "lecturers",
+        "faculty",
+        "staff",
+        "administration",
+        "instructors",
+        "educators",
+        "TA",
+    ]
 
     def __repr__(self):
         D = self.__dict__
diff --git a/QA.py b/QA.py
index 3a00650..a41f18f 100644
--- a/QA.py
+++ b/QA.py
@@ -22,7 +22,7 @@
     "COURSE": Courses,
     "SECRET_HIDEOUT": Locations,
     "SECTION": Sections,
-    "PROF_SECTION": ProfessorSectionView
+    "PROF_SECTION": ProfessorSectionView,
 }
 
 
@@ -82,10 +82,9 @@ def string_sub(a_format):
     return functools.partial(_string_sub, a_format)
 
 
-def _get_property(prop: str,
-                  table: str,
-                  extracted_info: Extracted_Vars,
-                  db: NimbusMySQLAlchemy):
+def _get_property(
+    prop: str, table: str, extracted_info: Extracted_Vars, db: NimbusMySQLAlchemy
+):
     ent_string = extracted_info["normalized entity"]
     if table is None:
         ent = tag_lookup[extracted_info["tag"]]
@@ -105,11 +104,13 @@ def get_property(prop: str, table: str = None):
     return functools.partial(_get_property, prop, table)
 
 
-def _get_property_list(prop: str,
-                       joiner: str,
-                       table: str,
-                       extracted_info: Extracted_Vars,
-                       db: NimbusMySQLAlchemy):
+def _get_property_list(
+    prop: str,
+    joiner: str,
+    table: str,
+    extracted_info: Extracted_Vars,
+    db: NimbusMySQLAlchemy,
+):
     ent_string = extracted_info["normalized entity"]
     if table is None:
         ent = tag_lookup[extracted_info["tag"]]
@@ -126,9 +127,8 @@ def _get_property_list(prop: str,
         exact_matches = get_all_exact_matches(values)
         return {f"db_{prop}": _grammatical_join(exact_matches, joiner)}
 
-def get_property_list(prop: str,
-                      joiner: str,
-                      table: str = None):
+
+def get_property_list(prop: str, joiner: str, table: str = None):
     return functools.partial(_get_property_list, prop, joiner, table)
 
 
diff --git a/build.py b/build.py
index 0d893f0..7de58c1 100755
--- a/build.py
+++ b/build.py
@@ -222,14 +222,16 @@ def reset_color(s, *args, **kwargs):
             # -----------------------------------------------------------------
             # setup failed, but we can check if `config.json` is already
             # -----------------------------------------------------------------
-            print(bold_yellow(
-                (
-                    "\n\nfound config.json... continuing build...\n\n"
-                    "if you do not want your current config.json\n"
-                    "please follow the steps in the nimbus-config-secrets reposotiry\n"
-                    "ask a Maintainer/Admin for help\n"
+            print(
+                bold_yellow(
+                    (
+                        "\n\nfound config.json... continuing build...\n\n"
+                        "if you do not want your current config.json\n"
+                        "please follow the steps in the nimbus-config-secrets reposotiry\n"
+                        "ask a Maintainer/Admin for help\n"
+                    )
                 )
-            ))
+            )
         else:
             # -----------------------------------------------------------------
             # okay, fine. last effort to find `config.json` at root of git dir
diff --git a/database_wrapper.py b/database_wrapper.py
index 18e04e3..29da90c 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -413,9 +413,18 @@ def get_all_qa_pairs(self):
     def get_unvalidated_qa_data(self, numQueries: int):
         qa = QuestionAnswerPair
 
-        query_session = self.session.query(
-            qa.id, qa.can_we_answer, qa.question_format, qa.answer_format, qa.verified, qa.answer_type
-        ).filter(qa.verified == 0).limit(numQueries)
+        query_session = (
+            self.session.query(
+                qa.id,
+                qa.can_we_answer,
+                qa.question_format,
+                qa.answer_format,
+                qa.verified,
+                qa.answer_type,
+            )
+            .filter(qa.verified == 0)
+            .limit(numQueries)
+        )
         result = query_session.all()
         print(result)
         unvalidated_qa_pairs = []
@@ -439,8 +448,7 @@ def get_all_answerable_pairs(self):
             qa_entity.question_format, qa_entity.answer_format, qa_entity.can_we_answer
         )
         result = query_session.all()
-        true_result = [(pair[0], pair[1])
-                       for pair in result if pair[2] == True]
+        true_result = [(pair[0], pair[1]) for pair in result if pair[2] == True]
 
         return true_result
 
@@ -514,8 +522,7 @@ def _get_property_from_entity(
                 tags.append(str(row.__dict__[tag_prop]))
 
             if total_similarity > MATCH_THRESHOLD:
-                results.append(
-                    (total_similarity, tags, str(row.__dict__[prop])))
+                results.append((total_similarity, tags, str(row.__dict__[prop])))
 
         if len(results) < 1:
             return None
@@ -532,8 +539,7 @@ def get_property_from_entity(
         tag_column_map: dict = default_tag_column_dict,
     ):
 
-        props = self._get_property_from_entity(
-            prop, entity, identifier, tag_column_map)
+        props = self._get_property_from_entity(prop, entity, identifier, tag_column_map)
         if props is None:
             return None
         return props[-1][2]
@@ -582,8 +588,7 @@ def validate_and_format_entity_data(self, entity_type, data_dict: dict):
         if entity_type in format_method_by_entity:
             data_dict = format_method_by_entity[entity_type](data_dict)
 
-        self.validate_input_keys(
-            data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
+        self.validate_input_keys(data_dict, EXPECTED_KEYS_BY_ENTITY[entity_type])
         return data_dict
 
     def add_entity(self, entity) -> bool:
@@ -634,8 +639,7 @@ def insert_entity(self, entity_type, data_dict: dict) -> Entity:
             raise InvalidOperationOnView(msg.format(entity_type))
 
         # Get formatted data, entity attributes, and entity object
-        formatted_data = self.validate_and_format_entity_data(
-            entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
         entity_attributes = entity_type.__dict__
 
         # Logging...
@@ -701,8 +705,7 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
                 raise BadDictionaryKeyError(
                     "Include an 'id' field so the element to update can be identified."
                 )
-            updated_entity = self.session.query(
-                entity_type).get(data_dict["id"])
+            updated_entity = self.session.query(entity_type).get(data_dict["id"])
             updated = updated_entity.update(data_dict)
             if not updated:
                 return False
@@ -720,15 +723,13 @@ def update_entity(self, entity_type, data_dict: dict, filter_fields: list) -> bo
             raise RuntimeError(msg.format(entity_type))
 
         # Get formatted data and entity attributes
-        formatted_data = self.validate_and_format_entity_data(
-            entity_type, data_dict)
+        formatted_data = self.validate_and_format_entity_data(entity_type, data_dict)
         entity_attributes = entity_type.__dict__
 
         # Run a SELECT query to see if an entity that matches the values under the fields in the filter_fields list exists
         query = self.session.query(entity_type)
         for field in filter_fields:
-            query = query.filter(getattr(entity_type, field)
-                                 == formatted_data[field])
+            query = query.filter(getattr(entity_type, field) == formatted_data[field])
         entity = query.first()
 
         # Logging...
@@ -802,8 +803,7 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             A new, formatted data dictionary
         """
 
-        is_wake_word_by_label = {"ww": True,
-                                 "nww": False, True: True, False: False}
+        is_wake_word_by_label = {"ww": True, "nww": False, True: True, False: False}
 
         noise_level_by_label = {
             "q": NoiseLevel.quiet,
@@ -828,8 +828,7 @@ def format_audio_sample_meta_data_dict(self, data_dict: dict) -> dict:
             raise BadDictionaryValueError(msg)
 
         if data_dict["noiseLevel"] in noise_level_by_label:
-            data_dict["noise_level"] = noise_level_by_label[data_dict.pop(
-                "noiseLevel")]
+            data_dict["noise_level"] = noise_level_by_label[data_dict.pop("noiseLevel")]
         else:
             msg = "unexpected values for noiseLevel\n"
             msg += "expected 'q' or 'm' or 'l' but got '{}'"
@@ -943,5 +942,4 @@ def format_query_feedback_dict(self, feedback: dict) -> dict:
 
 if __name__ == "__main__":
     db = NimbusMySQLAlchemy()
-    print(db._get_property_from_entity(
-        "section_name", ProfessorSectionView, "Braun"))
+    print(db._get_property_from_entity("section_name", ProfessorSectionView, "Braun"))
diff --git a/flask_api.py b/flask_api.py
index 8188c93..dc74f56 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -3,10 +3,11 @@
 
 Contains all the handlers for the API. Also the main code to run Flask.
 """
-from sqlalchemy.exc import OperationalError
+from sqlalchemy.exc import OperationalError, InvalidRequestError
 
 from flask import Flask, jsonify, request
-#traceback added for stacktrace logging
+
+# traceback added for stacktrace logging
 import traceback
 
 from flask_cors import CORS
@@ -107,16 +108,14 @@ def handle_database_error(error):
 
 
 def log_error(error, question):
-    error_entry = {
-        "question" : question,
-        "stacktrace" : traceback.format_exc()
-    }
+    error_entry = {"question": question, "stacktrace": traceback.format_exc()}
     db.insert_entity(ErrorLog, error_entry)
 
 
 @app.errorhandler(Exception)
 def handle_all_errors(e):
-    if isinstance(e, OperationalError):
+    # InvalidRequestError happens when the transaction is broken
+    if isinstance(e, OperationalError) or isinstance(e, InvalidRequestError):
         handle_database_error(e)
     log_error(e, None)
     return jsonify({"ErrorLog": type(e).__name__}), SUCCESS
@@ -179,7 +178,7 @@ def handle_question():
     except Exception as e:
         log_error(e, question)
         response = {"answer": "oops, something went wrong... Try another question"}
-        return jsonify(response), SERVER_ERROR 
+        return jsonify(response), SERVER_ERROR
 
 
 @app.route("/new_data/wakeword", methods=["POST"])
@@ -343,22 +342,19 @@ def delete_query_phrase():
         else ("Failed to delete phrase", SERVER_ERROR)
     )
 
+
 @app.route("/entity_structure", methods=["GET"])
 def get_entity_structure():
-    
     def get_class_info(entity):
-        keys = list(filter(lambda key: not key[0] == '_', entity.__dict__.keys()))
-        return {
-            "attributes": keys,
-            "synonyms": entity.synonyms
-            }
+        keys = list(filter(lambda key: not key[0] == "_", entity.__dict__.keys()))
+        return {"attributes": keys, "synonyms": entity.synonyms}
 
     entities = {
         "COURSE": get_class_info(Courses),
         "CLUB": get_class_info(Clubs),
         "PROF": get_class_info(Professors),
-        "LOCATION": get_class_info(Locations)
-        }
+        "LOCATION": get_class_info(Locations),
+    }
     return jsonify(entities)
 
 
@@ -598,8 +594,7 @@ def create_filename(form):
         "timestamp",
         "username",
     ]
-    values = list(
-        map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
+    values = list(map(lambda key: str(form[key]).lower().replace(" ", "-"), order))
     return "_".join(values) + ".wav"
 
 
@@ -684,8 +679,7 @@ def process_office_hours(current_prof: dict, db: NimbusMySQLAlchemy):
     # Update the entity properties if the entity already exists
     if update_office_hours == True:
         db.update_entity(
-            entity_type=entity_type, data_dict=sql_data, filter_fields=[
-                "Email"]
+            entity_type=entity_type, data_dict=sql_data, filter_fields=["Email"]
         )
 
     # Otherwise, add the entity to the database
@@ -746,5 +740,4 @@ def convert_to_mfcc():
 
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE,
-            port=gunicorn_config.PORT)
+    app.run(host="0.0.0.0", debug=gunicorn_config.DEBUG_MODE, port=gunicorn_config.PORT)
diff --git a/gunicorn_config.py b/gunicorn_config.py
index d5fcee5..5b59588 100644
--- a/gunicorn_config.py
+++ b/gunicorn_config.py
@@ -13,7 +13,7 @@
 
 # Gunicorn config
 bind = ":" + str(PORT)
-#workers = multiprocessing.cpu_count() * 2 + 1
+# workers = multiprocessing.cpu_count() * 2 + 1
 # The above is considered bad practice - cpu_count() can be unreliable.
 # We have 1 core, so 1 * 2 + 1 = 3
 workers = 3
diff --git a/modules/validators.py b/modules/validators.py
index 99b9a0c..24498fb 100644
--- a/modules/validators.py
+++ b/modules/validators.py
@@ -121,8 +121,8 @@ def fix(self, data, issues):
                     form[key] = int(time.time())
                     print("fixed timestamp", form[key])
                 elif key == "script" and form["isWakeWord"] == "ww":
-                     form[key] = "nimbus"
-                     print("Added 'script' value of 'nimbus'")
+                    form[key] = "nimbus"
+                    print("Added 'script' value of 'nimbus'")
                 else:
                     raise WakeWordValidatorError(
                         f"Required audio metadata '{key}' was not provided"
diff --git a/nimbus.py b/nimbus.py
index 70e8b28..88d49b3 100644
--- a/nimbus.py
+++ b/nimbus.py
@@ -28,7 +28,6 @@ def __init__(self, db: NimbusMySQLAlchemy):
             self.classifier.train_model()
             self.classifier.load_latest_classifier()
 
-
     def answer_question(self, question):
         ans_dict = self.predict_question(question)
         print(ans_dict)
diff --git a/nimbus_nlp/question_classifier.py b/nimbus_nlp/question_classifier.py
index 843cbaf..a8eee9c 100644
--- a/nimbus_nlp/question_classifier.py
+++ b/nimbus_nlp/question_classifier.py
@@ -13,17 +13,19 @@ class QuestionClassifier:
     def __init__(self, db):
         self.db = db
         self.classifier = None
-        self.nlp = spacy.load('en_core_web_sm')
-        self.WH_WORDS = {'WDT', 'WP', 'WP$', 'WRB'}
+        self.nlp = spacy.load("en_core_web_sm")
+        self.WH_WORDS = {"WDT", "WP", "WP$", "WRB"}
         self.overall_features = {}
 
     def train_model(self):
-        self.classifier = self.build_question_classifier(question_pairs=self.db.get_all_answerable_pairs())
+        self.classifier = self.build_question_classifier(
+            question_pairs=self.db.get_all_answerable_pairs()
+        )
         save_model(self.classifier, "nlp-model")
 
     def load_latest_classifier(self):
         self.classifier = load_latest_model()
-        with open(PROJECT_DIR + '/models/features/overall_features.json', 'r') as fp:
+        with open(PROJECT_DIR + "/models/features/overall_features.json", "r") as fp:
             self.overall_features = json.load(fp)
 
     # Added question pairs as a parameter to remove database_wrapper as a dependency
@@ -34,7 +36,9 @@ def build_question_classifier(self, question_pairs: Tuple[str, str]):
         Train KNN classification model with overall feature set.
         """
         questions = [q[0] for q in question_pairs]
-        question_features = [self.get_question_features(self.nlp(str(q))) for q in questions]
+        question_features = [
+            self.get_question_features(self.nlp(str(q))) for q in questions
+        ]
 
         for feature in question_features:
             for key in feature:
@@ -87,7 +91,7 @@ def get_question_features(self, spacy_doc):
 
             # Add WH words with weight 60
             # elif self.is_wh_word(token):
-                # .lemma_ is already lowercase; no .lower() needed
+            # .lemma_ is already lowercase; no .lower() needed
             #    features[token.lemma_] = 3
 
             # Add all other words with weight 30
diff --git a/test.py b/test.py
index 2c8d43e..d86c1e3 100644
--- a/test.py
+++ b/test.py
@@ -2,11 +2,7 @@
 
 url = "https://nimbus.api.calpolycsai.com/ask"
 
-payload = "{\n    \"question\": \"What is Dr. Lupo's email?\"\n}"
-headers = {
-  'Content-Type': 'application/json',
-  'Content-Type': 'application/json'
-}
-response = requests.request("POST", url, headers=headers, data = payload)
-print(response.text.encode('utf8'))
-
+payload = '{\n    "question": "What is Dr. Lupo\'s email?"\n}'
+headers = {"Content-Type": "application/json", "Content-Type": "application/json"}
+response = requests.request("POST", url, headers=headers, data=payload)
+print(response.text.encode("utf8"))
diff --git a/tests/test_database_wrapper.py b/tests/test_database_wrapper.py
index fffaae7..90bb38a 100644
--- a/tests/test_database_wrapper.py
+++ b/tests/test_database_wrapper.py
@@ -38,7 +38,7 @@
     "username": "guest",
     "audio_file_id": "OZ234FSDWER5GDF234F4G5",
     "script": "Nimbus",
-    "emphasis": "us"
+    "emphasis": "us",
 }
 
 TEST_CONFIG_FILENAME = "testConfig.json"
@@ -112,8 +112,8 @@ def test_create_all_tables(mock_create_engine):
     for entity_type in ENTITY_TYPES:
         try:
             getattr(test_db, entity_type).__table__.create.assert_called_once()
-        except AssertionError as e: 
-            print("{} table was not created".format(entity_type), file=sys.stderr);
+        except AssertionError as e:
+            print("{} table was not created".format(entity_type), file=sys.stderr)
             raise e
 
 
@@ -297,7 +297,7 @@ def test_insert_entity_view_error(mock_create_engine):
     test_db = NimbusMySQLAlchemy()
 
     with pytest.raises(InvalidOperationOnView):
-        test_db.insert_entity(MockViewEntity, {});
+        test_db.insert_entity(MockViewEntity, {})
 
 
 @patch.object(NimbusMySQLAlchemy, "_create_engine")
@@ -305,4 +305,4 @@ def test_update_entity_view_error(mock_create_engine):
     test_db = NimbusMySQLAlchemy()
 
     with pytest.raises(InvalidOperationOnView):
-        test_db.update_entity(MockViewEntity, {}, []);
+        test_db.update_entity(MockViewEntity, {}, [])
diff --git a/tests/test_flask_api.py b/tests/test_flask_api.py
index fc96e4a..3eec538 100644
--- a/tests/test_flask_api.py
+++ b/tests/test_flask_api.py
@@ -2,8 +2,14 @@
 import pytest
 
 import flask_api
-from database_wrapper import (NimbusMySQLAlchemy, BadDictionaryKeyError, BadDictionaryValueError,
-                              NimbusDatabaseError, UnsupportedDatabaseError, BadConfigFileError)
+from database_wrapper import (
+    NimbusMySQLAlchemy,
+    BadDictionaryKeyError,
+    BadDictionaryValueError,
+    NimbusDatabaseError,
+    UnsupportedDatabaseError,
+    BadConfigFileError,
+)
 from io import BytesIO
 from mock import patch, Mock
 from modules.validators import WakeWordValidatorError
@@ -19,35 +25,35 @@
 
 @pytest.fixture
 def client():
-    flask_api.app.config['TESTING'] = True
+    flask_api.app.config["TESTING"] = True
 
     with flask_api.app.test_client() as client:
         yield client
 
 
 def test_hello(client):
-    resp = client.get('/')
+    resp = client.get("/")
     assert resp.json == {"name": "hello {}".format(flask_api.app)}
 
     test_data_dict = {"hello": "world"}
-    resp = client.post('/', json=test_data_dict)
+    resp = client.post("/", json=test_data_dict)
     assert resp.json == {"you sent": test_data_dict}
 
 
 @patch("flask_api.nimbus")
 @patch("flask_api.db")
 def test_ask_request_not_json(mock_db, mock_nimbus, client):
-    resp = client.post('/ask', data="dummy data")
+    resp = client.post("/ask", data="dummy data")
     assert resp.status_code == BAD_REQUEST
-    assert resp.data == b'request must be JSON'
+    assert resp.data == b"request must be JSON"
 
 
 @patch("flask_api.nimbus")
 @patch("flask_api.db")
 def test_ask_no_question(mock_db, mock_nimbus, client):
-    resp = client.post('/ask', json={})
+    resp = client.post("/ask", json={})
     assert resp.status_code == BAD_REQUEST
-    assert resp.data == b'request body should include the question'
+    assert resp.data == b"request body should include the question"
 
 
 @patch("flask_api.generate_session_token", return_value=TOKEN)
@@ -60,12 +66,14 @@ def test_ask_question(mock_db, mock_nimbus, mock_generate_session_token, client)
     mock_nimbus.answer_question.return_value = test_answer
 
     # Verify that calling ask without a token will return a response with a new token
-    resp = client.post('/ask', json={"question": "test_question"})
+    resp = client.post("/ask", json={"question": "test_question"})
     assert resp.status_code == SUCCESS
     assert resp.json == {"answer": test_answer, "session": TOKEN}
 
     # Verify that calling ask with a token will return a response with the same token
-    resp = client.post('/ask', json={"question": "test_question", "session": dummy_token})
+    resp = client.post(
+        "/ask", json={"question": "test_question", "session": dummy_token}
+    )
     assert resp.status_code == SUCCESS
     assert resp.json == {"answer": test_answer, "session": dummy_token}
 
@@ -75,14 +83,22 @@ def test_ask_question(mock_db, mock_nimbus, mock_generate_session_token, client)
 @patch("flask_api.WakeWordValidator")
 @patch("flask_api.WakeWordFormatter")
 @patch("flask_api.db")
-def test_new_data_wakeword(mock_db, mock_formatter, mock_validator, mock_create_filename, mock_save_audiofile, client):
+def test_new_data_wakeword(
+    mock_db,
+    mock_formatter,
+    mock_validator,
+    mock_create_filename,
+    mock_save_audiofile,
+    client,
+):
     mock_formatter_instance = Mock()
     mock_formatter_instance.format.return_value = {"filename": "dummy"}
     mock_formatter.return_value = mock_formatter_instance
 
     resp = client.post(
-        '/new_data/wakeword',
-        data={"test": "foo", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
+        "/new_data/wakeword",
+        data={"test": "foo", "wav_file": (BytesIO(b"dummyText"), "dummyfile.txt")},
+    )
 
     # Verify that db client was told to save data, and that the newly generated filename was returned
     mock_db.insert_entity.assert_called_once()
@@ -96,6 +112,9 @@ def test_new_data_wakeword_validator_issues(mock_validator, client):
     mock_validator.return_value = mock_validator_instance
 
     # Verify that the client will catch and throw an error if the validator fails
-    resp = client.post('/new_data/wakeword', data={"dummy1": "dummy2", 'wav_file': (BytesIO(b'dummyText'), 'dummyfile.txt')})
+    resp = client.post(
+        "/new_data/wakeword",
+        data={"dummy1": "dummy2", "wav_file": (BytesIO(b"dummyText"), "dummyfile.txt")},
+    )
     assert resp.status_code == BAD_REQUEST
     assert resp.data == TEST_ERROR.encode()
diff --git a/tests/test_validators.py b/tests/test_validators.py
index 6802184..c444e7b 100644
--- a/tests/test_validators.py
+++ b/tests/test_validators.py
@@ -2,30 +2,35 @@
 import pytest
 
 from modules.validators import WakeWordValidator, WakeWordValidatorError
+
 wake_word_data = {
-"isWakeWord":"true",
-"noiseLevel":"l",
-"tone":"serious",
-"location":"Cal Poly San Luis Obispo",
-"gender":"m",
-"lastName":"Waidhofer",
-"firstName":"John",
-"timestamp": "1589744893",
-"username":"waidhofer",
-"emphasis":"Emphasized",
-"script":"testing 123",
-"test":"foo"
+    "isWakeWord": "true",
+    "noiseLevel": "l",
+    "tone": "serious",
+    "location": "Cal Poly San Luis Obispo",
+    "gender": "m",
+    "lastName": "Waidhofer",
+    "firstName": "John",
+    "timestamp": "1589744893",
+    "username": "waidhofer",
+    "emphasis": "Emphasized",
+    "script": "testing 123",
+    "test": "foo",
 }
 
-important_fields = ["isWakeWord",
-"noiseLevel",
-"tone",
-"location",
-"gender",
-"lastName",
-"firstName",
-"emphasis",
-"script"]
+important_fields = [
+    "isWakeWord",
+    "noiseLevel",
+    "tone",
+    "location",
+    "gender",
+    "lastName",
+    "firstName",
+    "emphasis",
+    "script",
+]
+
+
 def test_wake_word_missing_values():
     validator = WakeWordValidator()
     for field in important_fields:
@@ -37,4 +42,4 @@ def test_wake_word_missing_values():
         assert len(issues) == 1
 
         with pytest.raises(WakeWordValidatorError):
-            data = validator.fix(data,issues)
+            data = validator.fix(data, issues)

From 74341b680d4edfc8f6e846f523754582bfb145d4 Mon Sep 17 00:00:00 2001
From: Ethan A <eahlquis@calpoly.edu>
Date: Sun, 13 Sep 2020 14:08:02 -0700
Subject: [PATCH 270/272] =?UTF-8?q?Empty=20string=20answers=20now=20return?=
 =?UTF-8?q?=20None=20=F0=9F=91=8D?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 QA.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/QA.py b/QA.py
index a41f18f..063354a 100644
--- a/QA.py
+++ b/QA.py
@@ -51,7 +51,7 @@ def __init__(self, q_format, db_query, format_answer, db):
     def answer(self, extracted_vars):
         db_data = self.db_query(extracted_vars, self.db)
         answer = self.format_answer(extracted_vars, db_data)
-        return answer
+        return None if answer == '' else answer
 
     def __repr__(self):
         return self.q_format
@@ -181,7 +181,7 @@ def format_prof_office_hours(extracted_vars: Extracted_Vars, db_data: DB_Data):
 
 
 def _format_prof_office_hours(prof: str, days: str):
-    hours = lambda x: x[1]
+    def hours(x): return x[1]
 
     week = []
     for token in days.split(", "):
@@ -284,7 +284,8 @@ def generate_qa_pairs(qa_pairs: Tuple[str, str], db: NimbusMySQLAlchemy):
                     tokens[i] = "{db_" + prop + "}"
                 elif len(subtokens) == 4:
                     ent, prop, table, joiner = subtokens
-                    db_access_fns.append(get_property_list(prop, joiner, table))
+                    db_access_fns.append(
+                        get_property_list(prop, joiner, table))
                     tokens[i] = "{db_" + prop + "}"
 
         o = QA(

From 334467c858fa439ccddc2ee6765ed04b2eaceb27 Mon Sep 17 00:00:00 2001
From: Miles Aikens <snekiam@gmail.com>
Date: Tue, 15 Sep 2020 00:34:35 -0700
Subject: [PATCH 271/272] Updates to error handling. Added question to error
 handler. Added get_question method to get the current question from the
 request object. Initiate a rollback for all exceptions, since we don't know
 what has succeeded/failed, and we could be in a bad state.

---
 flask_api.py | 55 ++++++++++++++++++++++++++++++++++------------------
 1 file changed, 36 insertions(+), 19 deletions(-)

diff --git a/flask_api.py b/flask_api.py
index dc74f56..9dd5310 100755
--- a/flask_api.py
+++ b/flask_api.py
@@ -6,6 +6,7 @@
 from sqlalchemy.exc import OperationalError, InvalidRequestError
 
 from flask import Flask, jsonify, request
+from werkzeug.exceptions import BadRequest
 
 # traceback added for stacktrace logging
 import traceback
@@ -93,15 +94,29 @@ def init_nimbus_db():
             nimbus = Nimbus(db)
 
 
+# returns the question from the request body, if applicable
+def get_question() -> str:
+    if request.is_json is False:
+        raise BadRequest(description="request must be JSON")
+    request_body = request.get_json()
+    question = request_body.get("question", None)
+    # no reason for a custom exception here
+    if question is None:
+        raise BadRequest(description="request body should include the question")
+    else:
+        return question
+
+
 def handle_database_error(error):
     global db
-    if db is None:
-        # reinit the database
-        init_nimbus_db()
-    else:
+    # checks if the session has any changes (new objects, changed objects, 
+    # or deleted objects) - these should be rolled back in the case of an exception
+    if db.session.new or db.session.dirty or db.session.deleted:
+        print("Rolling back")
+        db.session.rollback()
+    if isinstance(error, OperationalError) or db is None:
         # we *probably* have a bad session - try and roll it back,
         # then create a new database connection.
-        db.session.rollback()
         db.session.close()
         db = None
         init_nimbus_db()
@@ -114,10 +129,16 @@ def log_error(error, question):
 
 @app.errorhandler(Exception)
 def handle_all_errors(e):
-    # InvalidRequestError happens when the transaction is broken
-    if isinstance(e, OperationalError) or isinstance(e, InvalidRequestError):
-        handle_database_error(e)
-    log_error(e, None)
+    # we should still be able to extract the question from the request, if one
+    # was asked. We can retry the question once.
+    handle_database_error(e)
+    question = None
+    try:
+        question = get_question()
+    except BadRequest as e:
+        # the question is already None, but we need to catch this exception
+        pass
+    log_error(e, question)
     return jsonify({"ErrorLog": type(e).__name__}), SUCCESS
 
 
@@ -151,15 +172,10 @@ def handle_question():
 
         init_nimbus_db()
 
-        if request.is_json is False:
-            return "request must be JSON", BAD_REQUEST
-
-        request_body = request.get_json()
-
-        question = request_body.get("question", None)
-
-        if "question" not in request_body:
-            return "request body should include the question", BAD_REQUEST
+        try:
+            question = get_question()
+        except (BadRequest) as e:
+            return e.description, BAD_REQUEST
 
         try:
             entity = db.insert_entity(QuestionLog, {"question": question})
@@ -167,7 +183,8 @@ def handle_question():
             print("Could not store question upon user ask: ", str(e))
 
         response = {"answer": nimbus.answer_question(question)}
-
+        # extracting the question checks if we have json, so we should be good here
+        request_body = request.get_json()
         if "session" in request_body:
             response["session"] = request_body["session"]
         else:

From a7e75b9c82a181022e6e318776d24965e249d592 Mon Sep 17 00:00:00 2001
From: Mason McElvain <masonmcelvain@users.noreply.github.com>
Date: Sun, 11 Oct 2020 12:55:36 -0700
Subject: [PATCH 272/272] Delete annoying print statement

---
 database_wrapper.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/database_wrapper.py b/database_wrapper.py
index 29da90c..e919553 100755
--- a/database_wrapper.py
+++ b/database_wrapper.py
@@ -426,7 +426,6 @@ def get_unvalidated_qa_data(self, numQueries: int):
             .limit(numQueries)
         )
         result = query_session.all()
-        print(result)
         unvalidated_qa_pairs = []
         for qa_pair in result:
             formatted_QA_pair = {