Internal Data Tool

This repository contains an internal data tool designed to facilitate data management and analysis within our organization. The tool provides a user-friendly interface for accessing, manipulating, and visualizing data from various sources.

Features

• App factory pattern (app/__init__.py)
• Simple rooting system (app/routes/some_route.py)
• Database integration using SQLAlchemy (app/models.py)

Installation

1. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

2. Install the required packages:

   pip install -r requirements.txt

3. Run the application:

   export FLASK_APP=app:create_app  # On Windows use `set FLASK_APP=app:create_app`
   flask run --reload

Project Layout

• run.py: Entry point to run the application.
• app/: Main application package.
  • __init__.py: Application factory.
  • routes/: Contains route definitions.
  • models.py: Database models using SQLAlchemy.
• requirements.txt: List of dependencies.

Progress

• Set up Flask application with app factory pattern.
• Implement simple routing system.
• Integrate SQLAlchemy for database management.
• Add user authentication.
• Implement data visualization features.
• Write unit tests for the application.
• Create documentation for end-users.
• Deploy the application to a production environment.