From 7a245da379d62f651e687c9325cb6fa63d93c8f5 Mon Sep 17 00:00:00 2001 From: noiosoooo9999 Date: Sun, 11 Jan 2026 11:08:41 +0800 Subject: [PATCH 01/25] addworkstation --- .../eit_synthesis_station/batch_in_tray.xlsx | Bin 0 -> 5939 bytes .../eit_synthesis_station/chemical_list.xlsx | Bin 0 -> 210502 bytes .../eit_synthesis_station/config/__init__.py | 24 + .../eit_synthesis_station/config/constants.py | 187 ++ .../eit_synthesis_station/config/setting.py | 88 + .../controller/__init__.py | 7 + .../controller/station_controller.py | 2069 +++++++++++++++++ .../eit_synthesis_station/driver/__init.py | 27 + .../driver/api_client.py | 615 +++++ .../driver/exceptions.py | 71 + .../reaction_template.xlsx | Bin 0 -> 11144 bytes .../eit_synthesis_station/requirements.txt | 3 + .../eit_synthesis_station/station_manager.py | 738 ++++++ 13 files changed, 3829 insertions(+) create mode 100644 unilabos/devices/workstation/eit_synthesis_station/batch_in_tray.xlsx create mode 100644 unilabos/devices/workstation/eit_synthesis_station/chemical_list.xlsx create mode 100644 unilabos/devices/workstation/eit_synthesis_station/config/__init__.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/config/constants.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/config/setting.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/controller/__init__.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/controller/station_controller.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/driver/__init.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/driver/api_client.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/driver/exceptions.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station/reaction_template.xlsx create mode 100644 unilabos/devices/workstation/eit_synthesis_station/requirements.txt create mode 100644 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zH|(a}T5qhXN25su)htN^1DV@R2ImUjBz?A&i5(J$II}@CUQ_rP0^|E zi~MK7=4uLb6`z;6k-d3+!0QYd)j0h3(doaJq#2gav6I!gfA9bR|Na33$V&l(pa6gY zKmY&$5CXih`tL{p0s!a&0RSKZKmZ!s8Ob}^**pC)vU4<{bGNZ3C+N5!RNyE?6ab{y4VT1qd{VR>;zCg$OV)QOA`rt>Z>F=gW2{x$#c*eg0Xw9s z4%!Y`OtFU7a?<>gr#3gFWl2}E8`q$GW6@u)M$Hb+f^fA)oIWebz>gt1BJ(K zj1xu(kV}f)_%nI=@Kdl|XefXtA#N_7m^f-7t(e*U>Qwjf>1-sBTlO!kooZt8aM7KG zSQlU<{_{f&W$#x%|6hMq3pa`}zvBA-)gQwD)t`aA{eR{6zrS2|qKxbiJwnK<_%`7~ zE+=TP{4oZh?=X;X3EInO1~XbM?uO8^BN{7Bd^;euEilrUeqwkc5Vb4Qqv%{-9xWW2 zQ`Ry<;XR$vkiaC8{pRWD45KRx&(5Zqgz&MWNl#ETEny>YM+f2PfEvO)zx4RvNOVg0 zO88^BRC*OV!A64O8@-yiO}c{~is(?onwyjTc-xY5+z`;falD-hwa_X@tmRjo#f{4l zdR^I6q<;x}HI-GfU}s4;J?GmQw6rW5R`tG*0>Tc+lMa1*a>f3)s&sRsz3^zGJZs?o z9f)^UP0Lo7x%0;?nL z`o@PUe`aLJso-OfKr!bb&@)g+6lbKSmK5uQDMM_odAUq=M;g%4!P4k~X!V~FWJ*a! zYHlio#A-l}hJ17}Fu1h17#Mg_oNBIE zglNr3EJ{rYE-A{)OUG&gYCVc "Settings": + """ + 功能: + 从环境变量读取配置, 便于部署与 CI. + 参数: + 无. + 返回: + Settings. + 环境变量: + SYN_STATION_BASE_URL, SYN_STATION_USERNAME, SYN_STATION_PASSWORD, + SYN_STATION_TIMEOUT_S, SYN_STATION_VERIFY_SSL, SYN_STATION_LOG_LEVEL. + """ + base_url = os.getenv("SYN_STATION_BASE_URL", Settings.base_url) + username = os.getenv("SYN_STATION_USERNAME", Settings.username) + password = os.getenv("SYN_STATION_PASSWORD", Settings.password) + + timeout_s_str = os.getenv("SYN_STATION_TIMEOUT_S", str(Settings.timeout_s)) + try: + timeout_s = float(timeout_s_str) + except ValueError: + timeout_s = Settings.timeout_s + + verify_ssl_str = os.getenv("SYN_STATION_VERIFY_SSL", str(Settings.verify_ssl)) + verify_ssl = verify_ssl_str.strip().lower() in ("1", "true", "yes", "y", "on") + + log_level = os.getenv("SYN_STATION_LOG_LEVEL", Settings.log_level) + + return Settings( + base_url=base_url, + username=username, + password=password, + timeout_s=timeout_s, + verify_ssl=verify_ssl, + log_level=log_level, + ) + + +def configure_logging(level: str = "INFO") -> None: + """ + 功能: + 配置全局 logging, 统一输出格式. + 参数: + level: 日志级别, 例如 "DEBUG", "INFO". + 返回: + 无. + """ + numeric_level = getattr(logging, level.upper(), logging.INFO) + + root = logging.getLogger() + root.setLevel(numeric_level) + + if not root.handlers: + handler = logging.StreamHandler() + formatter = logging.Formatter( + fmt="%(asctime)s %(levelname)s %(name)s - %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + ) + handler.setFormatter(formatter) + root.addHandler(handler) diff --git a/unilabos/devices/workstation/eit_synthesis_station/controller/__init__.py b/unilabos/devices/workstation/eit_synthesis_station/controller/__init__.py new file mode 100644 index 00000000..15980a58 --- /dev/null +++ b/unilabos/devices/workstation/eit_synthesis_station/controller/__init__.py @@ -0,0 +1,7 @@ +""" +功能: + business 层导出. +""" +from .station_controller import SynthesisStationController + +__all__ = ["LabAutomationController", "PayloadFactory"] diff --git a/unilabos/devices/workstation/eit_synthesis_station/controller/station_controller.py b/unilabos/devices/workstation/eit_synthesis_station/controller/station_controller.py new file mode 100644 index 00000000..3c76b3c8 --- /dev/null +++ b/unilabos/devices/workstation/eit_synthesis_station/controller/station_controller.py @@ -0,0 +1,2069 @@ +import json +import logging +import time +from pathlib import Path +from typing import Any, Callable, Dict, List, Optional, Tuple +from collections import OrderedDict + +from config.constants import TaskStatus,StationState,DeviceModuleStatus, ResourceCode, TraySpec,TRAY_CODE_DISPLAY_NAME +from config.setting import Settings, configure_logging +from driver.api_client import ApiClient +from driver.exceptions import AuthorizationExpiredError, ValidationError +import re +import math + +import uuid + +JsonDict = Dict[str, Any] + +class SynthesisStationController: + """ + 功能: + 【上层逻辑】面向用户的控制器，提供自动登录、401 自动重登、状态轮询等。 + """ + + def __init__(self, settings: Optional[Settings] = None): + self._settings = settings or Settings.from_env() + self._client = ApiClient(self._settings) + self._logger = logging.getLogger(self.__class__.__name__) + + @property + def client(self) -> ApiClient: + return self._client + + # ---------- 自动登录 ------------- + def login(self) -> Tuple[str, str]: + """ + 功能: + 登录并缓存 token. + 参数: + 无. + 返回: + (token_type, access_token). + """ + resp = self._client.login(self._settings.username, self._settings.password) + token_type = str(resp.get("token_type", "Bearer")) + access_token = str(resp.get("access_token", "")) + self._client.set_token(token_type, access_token) + self._logger.debug("登录成功, token_type=%s", token_type) + return token_type, access_token + + def ensure_login(self) -> None: + """ + 功能: + 确保已登录，未登录则自动登录。 + 参数: + 无. + 返回: + 无. + """ + if not self._client.access_token: + self.login() + + def _call_with_relogin(self, func: Callable, *args, **kwargs): + """ + 功能: + 捕获 401，自动重登后重试一次。 + 参数: + func: 需要包装的函数. + *args, **kwargs: 透传参数. + 返回: + func 的返回值. + """ + self.ensure_login() + try: + return func(*args, **kwargs) + except AuthorizationExpiredError: + self._logger.warning("检测到登录失效, 自动重新登录并重试一次") + self.login() + return func(*args, **kwargs) + + def _extract_station_state(self, state_info: JsonDict) -> Optional[int]: + """ + 功能: + 从站点状态响应中提取状态码。 + 参数: + state_info: station_state 响应。 + 返回: + Optional[int], 状态码。 + """ + for key in ("state", "status"): + if key in state_info and isinstance(state_info.get(key), int): + return int(state_info[key]) + for outer in ("result", "data"): + obj = state_info.get(outer) + if isinstance(obj, dict): + for key in ("state", "status"): + if isinstance(obj.get(key), int): + return int(obj[key]) + return None + + def _assert_success(self, resp: JsonDict, action: str) -> None: + """ + 功能: + 校验接口响应的 code 与 msg 是否成功。 + 参数: + resp: 接口返回字典. + action: 当前动作名称, 用于异常信息. + 返回: + 无, 不满足条件则抛出 ValidationError. + """ + code = resp.get("code", 200) + msg = resp.get("msg", "") + if code != 200 or str(msg).lower() != "success": + raise ValidationError(f"{action}失败, code={code}, msg={msg}, resp={resp}") + + # ---------- 设备初始化 ---------- + def device_init( + self, + device_id: Optional[List[str]] = None, + *, + poll_interval_s: float = 1.0, + timeout_s: float = 600.0, + ) -> JsonDict: + """ + 功能: + 触发设备初始化, 然后轮询站点状态直到空闲。 + 参数: + device_id: 设备id列表, 当前忽略, 始终传空JSON。 + poll_interval_s: 轮询间隔秒数。 + timeout_s: 超时秒数, 超时抛出 TimeoutError。 + 返回: + Dict, 初始化接口原始响应。 + """ + resp = self._call_with_relogin(self._client.device_init, {}) # 传空JSON + self._assert_success(resp, "设备初始化") + self._logger.info("设备开始初始化") + start_ts = time.time() + + while True: + state = self.station_state() + if state is not None: + if state == int(StationState.IDLE): + self._logger.info("设备初始化完成") + return resp + else: + self._logger.warning("无法解析站点状态, resp=%s", state) + + if time.time() - start_ts > timeout_s: + raise TimeoutError(f"设备初始化等待空闲超时, last_state={state}") + + time.sleep(poll_interval_s) + + # ---------- 获取设备状态 ------------ + def station_state(self) -> int: + """ + 功能: + 获取工站整体状态码. + 参数: + 无. + 返回: + int, 工站状态码. + """ + resp = self._call_with_relogin(self._client.station_state) + # 兼容不同层级的状态字段 + for key in ("state", "status"): + if isinstance(resp.get(key), int): + return int(resp[key]) + for outer in ("result", "data"): + obj = resp.get(outer) + if isinstance(obj, dict): + for key in ("state", "status"): + if isinstance(obj.get(key), int): + return int(obj[key]) + + raise ValidationError(f"无法解析站点状态码, resp={resp}") + + def get_glovebox_env(self) -> JsonDict: + """ + 功能: + 调用 batch_list_device_runtimes 获取手套箱环境数据，并提取时间、箱压、水值、氧值 + 参数: + 无 + 返回: + Dict[str, Any], 包含 time、box_pressure、water_content、oxygen_content + """ + # 固定查询设备代码 352（手套箱环境） + resp = self._call_with_relogin(self._client.batch_list_device_runtimes, ["352"]) + data_container = resp.get("result") or resp.get("data") or resp + + if not isinstance(data_container, list) or len(data_container) == 0: + raise ValidationError(f"响应缺少环境数据, resp={resp}") + + first_item = data_container[0] # 多组相同数据，取第一组 + time_val = first_item.get("time") + box_pressure = first_item.get("box_pressure") + water_content = first_item.get("water_content") + oxygen_content = first_item.get("oxygen_content") + + result = { + "time": time_val, + "box_pressure": box_pressure, + "water_content": water_content, + "oxygen_content": oxygen_content, + } + self._logger.info("手套箱环境数据: %s", result) + return result + + def list_device_info(self) -> JsonDict: + """ + 功能: + 获取站点设备模块列表。暂不使用,使用get_all_device_info. + 参数: + 无. + 返回: + Dict, 接口响应. + """ + resp = self._call_with_relogin(self._client.list_device_info) + self._assert_success(resp, "获取站点设备模块列表") + return resp + + def get_all_device_info(self) -> JsonDict: + """ + 功能: + 获取全部设备信息，仅返回 station_data 字段 + 参数: + 无 + 返回: + Dict[str, Any], 包含 station_data 的字典 + """ + resp = self._call_with_relogin(self._client.get_all_device_info) + self._assert_success(resp, "获取全部设备信息") + + station_data = resp.get("station_data") or resp.get("data") or resp.get("result") + if not isinstance(station_data, list): + raise ValidationError(f"响应缺少 station_data, resp={resp}") + + return {"station_data": station_data} + + def list_device_status(self) -> List[JsonDict]: + """ + 功能: + 基于 get_all_device_info 提取设备名称与状态(状态名替换数值). + 参数: + 无. + 返回: + List[Dict], 包含 device_name、status(名称)、status_code(数值). + """ + raw = self.get_all_device_info() + station_list = raw.get("station_data") or raw.get("data") or raw.get("result") or [] + if not isinstance(station_list, list): + raise ValidationError(f"station_data 格式异常, resp={raw}") + + device_status: List[JsonDict] = [] + for station_item in station_list: + for dev in station_item.get("device_info", []): + status_val = dev.get("status") + status_name = ( + DeviceModuleStatus(status_val).name + if isinstance(status_val, int) and status_val in DeviceModuleStatus._value2member_map_ + else "UNKNOWN" + ) + device_status.append( + { + "device_name": dev.get("device_name"), + "status": status_name, # 如 AVAILABLE + "status_code": status_val, # 数值保留以便排查 + } + ) + self._logger.info("设备状态汇总完成, 数量=%s", len(device_status)) + return device_status + + # ---------- 获取站内资源信息 ---------- + def get_resource_info(self) -> List[JsonDict]: + """ + 功能: + 调用资源详情接口, 将打平的 resource_list 聚合为按资源位置展示的表格行. + 聚合协议: + 1) 资源位置: 取 layout_code 或 source_layout_code 的冒号前缀, 例如 "N-1:-1" 与 "N-1:0" 聚合为 "N-1". + 2) slot == -1: 表示托盘本体, 读取 resource_type 作为托盘型号, 并补充 resource_type_name. + 3) slot != -1: 表示托盘坑位, 统计数量作为 count. + 4) substance_details: 仅收集 substance 非空的坑位, 使用列表返回; 若无物质, 返回空列表. + 每个元素包含 slot, well, substance, value 字段. + 参数: + 无. + 返回: + List[JsonDict], 每个元素结构如下: + { + "layout_code": str, 资源位置, + "count": int, 坑位数量, + "substance_details": List[Dict], 物质详情列表, 无则 [], + "resource_type": int or None, 托盘型号编码, + "resource_type_name": str, 托盘型号中文名, + } + """ + response = self._call_with_relogin(self._client.get_resource_info, {}) + self._assert_success(response, "获取资源信息") + + resource_list = self._extract_resource_list(response) + rows = self._format_resource_rows(resource_list) + + self._logger.info("获取资源信息成功") + return rows + + def _extract_resource_list(self, response: JsonDict) -> List[JsonDict]: + """ + 功能: + 从不同响应包裹层中提取 resource_list, 兼容直接返回或嵌套在 result/data 中的情况. + 参数: + response: JsonDict, 接口原始响应. + 返回: + List[JsonDict], 资源明细列表. + """ + if "resource_list" in response: + resource_list = response.get("resource_list") + if resource_list is not None: + return resource_list + + for outer_key in ("result", "data"): + outer_obj = response.get(outer_key) + if isinstance(outer_obj, dict) and "resource_list" in outer_obj: + resource_list = outer_obj.get("resource_list") + if resource_list is not None: + return resource_list + + raise ValidationError(f"响应缺少 resource_list 字段, resp={response}") + + def _format_resource_rows(self, resource_list: List[JsonDict]) -> List[JsonDict]: + """ + 功能: + 将资源明细列表按资源位置聚合为返回行, 并生成 substance_details 列表. + 参数: + resource_list: List[JsonDict], 资源明细列表. + 返回: + List[JsonDict], 聚合后的行列表. + """ + grouped_by_layout: "OrderedDict[str, Dict[str, Any]]" = OrderedDict() + + for item in resource_list: + layout_code = self._get_layout_code(item) + if layout_code is None: + continue + if layout_code == "": + continue + if ":" not in layout_code: + continue + + layout_prefix, slot_text = layout_code.split(":", 1) + slot_index = self._safe_int(slot_text) + if slot_index is None: + continue + + if layout_prefix not in grouped_by_layout: + grouped_by_layout[layout_prefix] = {"tray_item": None, "media_items": []} + + if slot_index == -1: + grouped_by_layout[layout_prefix]["tray_item"] = item + else: + grouped_by_layout[layout_prefix]["media_items"].append(item) + + rows: List[JsonDict] = [] + for layout_prefix, group in grouped_by_layout.items(): + tray_item = group.get("tray_item") + media_items: List[JsonDict] = group.get("media_items", []) + + tray_code = self._get_tray_code(tray_item) + tray_name = self._get_tray_name(tray_code) + + rows.append( + { + "layout_code": layout_prefix, + "count": len(media_items), + "substance_details": self._build_substance_details(tray_code, media_items), + "resource_type": tray_code, + "resource_type_name": tray_name, + } + ) + + return rows + + def _get_layout_code(self, item: JsonDict) -> Optional[str]: + """ + 功能: + 获取明细中的布局编码字段, 兼容 layout_code 与 source_layout_code. + 参数: + item: JsonDict, 单条资源明细. + 返回: + Optional[str], 布局编码字符串. + """ + layout_code = item.get("layout_code") + if layout_code is not None and str(layout_code) != "": + return str(layout_code) + + source_layout_code = item.get("source_layout_code") + if source_layout_code is not None and str(source_layout_code) != "": + return str(source_layout_code) + + return None + + def _get_tray_code(self, tray_item: Optional[JsonDict]) -> Optional[int]: + """ + 功能: + 从托盘本体记录(slot == -1)中解析托盘编码(resource_type). + 参数: + tray_item: Optional[JsonDict], 托盘本体记录. + 返回: + Optional[int], 托盘编码. + """ + if tray_item is None: + return None + return self._safe_int(tray_item.get("resource_type")) + + def _get_tray_name(self, tray_code: Optional[int]) -> str: + """ + 功能: + 根据托盘编码获取中文名称, 未命中时返回空字符串. + 参数: + tray_code: Optional[int], 托盘编码. + 返回: + str, 托盘中文名. + """ + if tray_code is None: + return "" + tray_name = TRAY_CODE_DISPLAY_NAME.get(tray_code) + if tray_name is None: + return "" + return tray_name + + def _build_substance_details(self, tray_code: Optional[int], media_items: List[JsonDict]) -> List[JsonDict]: + """ + 功能: + 生成 substance_details 列表, 每个元素表示一个有物质的坑位. + 若无物质, 返回空列表. + 参数: + tray_code: Optional[int], 托盘编码, 用于 slot 到 well 的映射. + media_items: List[JsonDict], 坑位明细列表. + 返回: + List[JsonDict], 物质详情列表, 结构: + { + "slot": int or None, + "well": str, + "substance": str, + "value": str, + } + """ + if tray_code is None: + return [] + + tray_spec = self._get_tray_spec(tray_code) + details: List[JsonDict] = [] + + for item in media_items: + # 只输出实际有物质的坑位, 避免空坑位污染返回数据. + substance = item.get("substance") + if substance is None: + continue + if str(substance).strip() == "": + continue + + slot_index = self._extract_slot_index(item) + well_text = self._slot_to_well_text(slot_index, tray_spec) + value_text = self._extract_amount_with_unit(item, tray_code) + + details.append( + { + "slot": slot_index, + "well": well_text, + "substance": str(substance).strip(), + "value": value_text, + } + ) + + return details + + def _get_tray_spec(self, tray_code: int) -> Optional[Tuple[int, int]]: + """ + 功能: + 根据托盘编码获取 TraySpec 中的规格定义, 规格格式为 (col, row). + 参数: + tray_code: int, 托盘编码. + 返回: + Optional[Tuple[int, int]], 托盘规格(列数, 行数), 未匹配则 None. + """ + try: + enum_name = ResourceCode(tray_code).name + except Exception: + return None + + tray_spec = getattr(TraySpec, enum_name, None) + if tray_spec is None: + return None + return tray_spec + + def _extract_slot_index(self, item: JsonDict) -> Optional[int]: + """ + 功能: + 从 layout_code/source_layout_code 中提取 slot 序号. + 参数: + item: JsonDict, 单条坑位明细. + 返回: + Optional[int], slot 序号. + """ + layout_code = self._get_layout_code(item) + if layout_code is None: + return None + if layout_code == "": + return None + if ":" not in layout_code: + return None + + _, slot_text = layout_code.split(":", 1) + return self._safe_int(slot_text) + + def _slot_to_well_text(self, slot_index: Optional[int], tray_spec: Optional[Tuple[int, int]]) -> str: + """ + 功能: + 将 slot 序号按行优先映射为井位文本, 规则 A1, A2...B1. + 参数: + slot_index: Optional[int], slot 序号. + tray_spec: Optional[Tuple[int, int]], (col, row) 托盘规格. + 返回: + str, 井位文本, 无法映射时返回 "-". + """ + if slot_index is None: + return "-" + if tray_spec is None: + return str(slot_index) + + col_count, row_count = tray_spec + if col_count <= 0: + return str(slot_index) + if row_count <= 0: + return str(slot_index) + + row_index = slot_index // col_count + col_index = slot_index % col_count + 1 + + if row_index >= row_count: + return str(slot_index) + + return f"{chr(ord('A') + row_index)}{col_index}" + + def _extract_amount_with_unit(self, item: JsonDict, tray_code: Optional[int] = None) -> str: + """ + 功能: + 根据托盘类型提取可展示的数值与单位; 粉桶托盘优先读取重量, 试剂瓶托盘优先读取体积, 其他类型按通用顺序。 + 参数: + item: JsonDict, 单条槽位明细. + tray_code: Optional[int], 托盘资源编码, 用于确定重量或体积优先级。 + 返回: + str, 数值与单位拼接后的字符串, 例如 "5000mg". + """ + unit = item.get("unit") + unit_text = "" + if unit is not None: + if str(unit).strip() != "": + unit_text = str(unit).strip() + + powder_tray_code = int(ResourceCode.POWDER_BUCKET_TRAY_30ML) + bottle_tray_codes = { + int(ResourceCode.REAGENT_BOTTLE_TRAY_2ML), + int(ResourceCode.REAGENT_BOTTLE_TRAY_8ML), + int(ResourceCode.REAGENT_BOTTLE_TRAY_40ML), + int(ResourceCode.REAGENT_BOTTLE_TRAY_125ML), + } + + if tray_code is not None and tray_code == powder_tray_code: + amount_fields = ( + "available_weight", + "cur_weight", + "initial_weight" + ) + elif tray_code is not None and tray_code in bottle_tray_codes: + amount_fields = ( + "available_volume", + "cur_volume", + "initial_volume", + ) + else: + amount_fields = ( + "available_weight", + "available_volume", + "cur_weight", + "cur_volume", + "initial_weight", + "initial_volume", + ) + + amount_value = None + for field_name in amount_fields: + if field_name in item: + candidate = item.get(field_name) + if candidate is not None: + amount_value = candidate + break + + amount_text = self._format_number(amount_value) + if unit_text == "": + return amount_text + return f"{amount_text}{unit_text}" + + def _format_number(self, value: Any) -> str: + """ + 功能: + 将数值格式化为展示字符串, 整数不带小数, 小数去除尾随 0. + 参数: + value: Any, 输入数值. + 返回: + str, 格式化后的数字字符串, value 为空时返回 "0". + """ + if value is None: + return "0" + + try: + number_value = float(value) + except Exception: + return str(value) + + if abs(number_value - round(number_value)) < 1e-9: + return str(int(round(number_value))) + + text = f"{number_value:.6f}".rstrip("0").rstrip(".") + if text == "": + return "0" + return text + + def _safe_int(self, value: Any) -> Optional[int]: + """ + 功能: + 安全转换为 int, 转换失败返回 None. + 参数: + value: Any, 输入值. + 返回: + Optional[int], 转换结果. + """ + try: + return int(value) + except Exception: + return None + + # ---------- 编辑站内化学品 ---------- + def get_chemical_list( + self, + *, + query_key: Optional[str] = None, + limit: int = 20, + ) -> JsonDict: + """ + 功能: + 调用底层接口获取化学品列表，返回 chemical_sums 和 chemical_list + 参数: + query_key: 可选字符串，用于模糊查询 + limit: 返回条数，传负数则不传该参数 + 返回: + Dict[str, Any]，包含 chemical_sums 和 chemical_list + """ + params = { + "query_key": query_key, + "sort": "desc", # 固定默认排序 + "offset": 0, # 固定起始偏移 + "limit": limit, + } + filtered_params = { + key: val + for key, val in params.items() + if val is not None and not (key == "limit" and isinstance(val, int) and val < 0) + } + + resp = self._call_with_relogin(self._client.get_chemical_list, **filtered_params) + data = resp if "chemical_list" in resp else (resp.get("result") or resp.get("data") or resp) + + chemical_sums = data.get("chemical_sums") + chemical_list = data.get("chemical_list", []) + return {"chemical_sums": chemical_sums, "chemical_list": chemical_list} + + def get_all_chemical_list(self) -> JsonDict: + """ + 功能: + 一次性获取全部化学品列表并返回包含 chemical_sums 和 chemical_list 的字典 + 参数: + 无 + 返回: + Dict[str, Any], 包含 chemical_sums 和 chemical_list + """ + first_resp = self.get_chemical_list() # 默认 limit=20 + first_data = first_resp.get("result") or first_resp.get("data") or first_resp + total = first_data.get("chemical_sums") + if not isinstance(total, int): + raise ValidationError(f"响应缺少 chemical_sums, resp={first_resp}") + + first_list = first_data.get("chemical_list") or [] + if len(first_list) >= total: + return {"chemical_sums": total, "chemical_list": first_list} + + full_resp = self.get_chemical_list(limit=total) # 用总数作为 limit + full_data = full_resp.get("result") or full_resp.get("data") or full_resp + full_list = full_data.get("chemical_list") or [] + return {"chemical_sums": total, "chemical_list": full_list} + + def add_chemical(self, payload: JsonDict) -> JsonDict: + return self._call_with_relogin(self._client.add_chemical, payload) + + def update_chemical(self, payload: JsonDict) -> JsonDict: + return self._call_with_relogin(self._client.update_chemical, payload) + + def delete_chemical(self, chemical_id: int) -> JsonDict: + """ + 功能: + 删除单个化学品 + 参数: + chemical_id: int, 化学品 id + 返回: + Dict[str, Any], 接口响应 + """ + resp = self._call_with_relogin(self._client.delete_chemical, chemical_id) + try: + self._assert_success(resp, "删除化学品") + self._logger.info("删除化学品成功: chemical_id=%s, resp=%s", chemical_id, resp) + except ValidationError as exc: + self._logger.info("删除化学品失败: chemical_id=%s, resp=%s", chemical_id, resp) + raise exc + return resp + + def sync_chemicals_from_data(self, items: List[JsonDict], *, overwrite: bool = False, limit: int = 20000) -> None: + """ + 功能: + 接收化学品数据列表，逐条查询是否存在，按需新增或更新 + 参数: + items: List[Dict], 包含 name, cas, state 等字段的字典列表 + overwrite: Bool, 是否覆盖更新 + limit: 查询 limit + 返回: + None + """ + if not items: + self._logger.info("输入数据为空, 退出同步") + return + + for item in items: + name = item.get("name") + cas = item.get("cas") + candidates: List[JsonDict] = [] + + # 先按名称查询 + if name: + name_resp = self.get_chemical_list(query_key=name, limit=limit) + candidates.extend(name_resp.get("chemical_list", [])) + + # 如有 CAS 再按 CAS 查询 + if cas: + cas_resp = self.get_chemical_list(query_key=cas, limit=limit) + candidates.extend(cas_resp.get("chemical_list", [])) + + # 按 fid 去重 + unique = {} + for chem in candidates: + fid = chem.get("fid") + if fid is not None: + unique[fid] = chem + matched = list(unique.values()) + + if not matched: + self.add_chemical(item) + self._logger.info("新增化学品: %s", name) + continue + + if not overwrite: + self._logger.info("已存在化学品, 跳过: %s", name) + continue + + target = matched[0] + payload = dict(item) + payload["fid"] = target["fid"] + self.update_chemical(payload) + self._logger.info("已覆盖更新化学品: %s, fid=%s", name, target["fid"]) + + # ---------- 化合物库管理 ---------- + def check_chemical_library_data(self, rows: List[JsonDict], headers: List[str]) -> Dict[str, List[str]]: + """ + 功能: + 校验化学品库数据完整性，检查表头、重复项与必填字段，返回错误和警告列表 + 参数: + rows: List[Dict[str, Any]], 文件数据行，键名需与表头一致 + headers: List[str], 原始表头列表 + 返回: + Dict[str, List[str]], 包含 errors 与 warnings + """ + required_headers = [ + "cas_number", "substance", "storage_location", + "molecular_weight", "physical_state", "density (g/mL)" + ] + header= [str(col).strip() for col in headers] + + errors: List[str] = [] + warnings: List[str] = [] + + # 汇总缺失表头 + missing_headers = [col for col in required_headers if col not in header] + if len(missing_headers) > 0: + errors.append(f"表头缺少字段: {', '.join(missing_headers)}") + + substance_count: Dict[str, int] = {} + missing_state_names: List[str] = [] + solid_missing_mw: List[str] = [] + liquid_missing: List[str] = [] + + for idx, row in enumerate(rows, start=2): + # 逐行检查必填项 + substance = str(row.get("substance") or "").strip() + physical_state = str(row.get("physical_state") or "").strip() + cas_number = str(row.get("cas_number") or "").strip() + molecular_weight = str(row.get("molecular_weight") or "").strip() + density = str(row.get("density (g/mL)") or "").strip() + + if substance != "": + substance_count[substance] = substance_count.get(substance, 0) + 1 + + if physical_state == "": + label = substance if substance != "" else f"第{idx}行" + missing_state_names.append(label) + + state_lower = physical_state.lower() + if cas_number != "" and state_lower == "solid" and molecular_weight == "": + target = substance if substance != "" else cas_number + solid_missing_mw.append(target) + + if state_lower == "liquid": + if molecular_weight == "" or density == "": + target = substance if substance != "" else cas_number if cas_number != "" else f"第{idx}行" + liquid_missing.append(target) + + duplicated_substance = [name for name, count in substance_count.items() if count > 1] + if len(duplicated_substance) > 0: + errors.append(f"substance 出现重复: {', '.join(duplicated_substance)}") + + if len(missing_state_names) > 0: + errors.append(f"physical_state 未填写: {', '.join(missing_state_names)}") + + if len(solid_missing_mw) > 0: + warnings.append(f"存在 solid 且有 CAS 但缺少 molecular_weight: {', '.join(solid_missing_mw)}") + + if len(liquid_missing) > 0: + warnings.append(f"physical_state 为 liquid 但缺少 molecular_weight 或 density: {', '.join(liquid_missing)}") + + if len(errors) > 0: + self._logger.error("化学品库校验失败, 错误=%s, 警告=%s", len(errors), len(warnings)) + else: + self._logger.info("化学品库校验通过, 警告=%s", len(warnings)) + + return {"errors": errors, "warnings": warnings} + + def deduplicate_chemical_library_data(self, rows: List[JsonDict], headers: List[str]) -> List[JsonDict]: + """ + 功能: + 依据 substance 自动去重化学品库，合并 brand/package_size/storage_location，处理其他字段差异 + 参数: + rows: List[Dict[str, Any]], 表格行数据，键名与表头一致 + headers: List[str], 原始表头列表，用于保持输出列顺序 + 返回: + List[Dict[str, Any]], 去重后的数据 + """ + if not headers or "substance" not in [str(h).strip().lower() for h in headers]: + self._logger.error("表头缺少 substance，无法去重") + return rows + + brand_fields = {"brand", "package_size", "storage_location"} + header_info = [(str(h).strip(), str(h).strip().lower()) for h in headers] + dedup_map: Dict[str, Dict[str, List[str]]] = {} + order: List[str] = [] + + def _clean(val: Any) -> str: + if val is None: + return "" + if isinstance(val, float): + if math.isnan(val): + return "" + if val.is_integer(): + return str(int(val)) # 374.0 -> "374" + return str(val).rstrip("0").rstrip(".") # 去掉尾随0或小数点 + if isinstance(val, int): + return str(val) + text = str(val).strip() + return "" if text.lower() == "nan" else text + + for row in rows: + substance = _clean(row.get("substance") or row.get("Substance")) + if substance == "": + self._logger.warning("发现缺少 substance 的行，已跳过") + continue + if substance not in dedup_map: + dedup_map[substance] = {info[1]: [] for info in header_info} + order.append(substance) + + field_store = dedup_map[substance] + for orig, key in header_info: + val = _clean(row.get(orig)) + if val == "": + continue + # 合并品牌/包装/库位，跳过空值 + if key in brand_fields: + if val not in field_store[key]: + field_store[key].append(val) + continue + # 其他字段保留不同值以便冲突时加括号 + if val not in field_store[key]: + field_store[key].append(val) + + result: List[JsonDict] = [] + for substance in order: + field_store = dedup_map[substance] + out_row: JsonDict = {} + for orig, key in header_info: + vals = field_store.get(key, []) + if key == "substance": + out_row[orig] = substance + elif key in brand_fields: + out_row[orig] = ";".join(vals) + else: + if len(vals) == 0: + out_row[orig] = "" + elif len(vals) == 1: + out_row[orig] = vals[0] + else: + out_row[orig] = f"({';'.join(vals)})" + result.append(out_row) + + self._logger.info("化合物库去重完成，原始行数=%s，去重后=%s", len(rows), len(result)) + return result + + def align_chemicals_from_data(self, rows: List[JsonDict], *, auto_delete: bool = False) -> List[JsonDict]: + """ + 功能: + 对齐工站化学品: 以传入数据为准校正工站数据，并回填 chemical_id/fid 到返回数据中 + 参数: + rows: List[Dict], 包含 substance/name, cas, physical_state 等字段 + auto_delete: bool, 是否删除工站内多余的化学品 + 返回: + List[Dict]: 更新后的数据列表 (包含回填的 ID) + """ + if not rows: + return [] + + # 获取工站所有数据 + station_data = self.get_all_chemical_list() + station_list = station_data.get("chemical_list") or [] + station_by_name = { + str(item.get("name") or "").strip(): item for item in station_list if item.get("name") + } + + updated = 0 + added = 0 + fid_by_substance: Dict[str, int] = {} + + # 遍历输入行进行同步 + for row in rows: + # 兼容字段名：substance 或 name + name = str(row.get("substance") or row.get("name") or "").strip() + if not name: + continue + + cas_file = str(row.get("cas_number") or row.get("cas") or "").strip() + state_file = str(row.get("physical_state") or row.get("state") or "").strip() + + existing = station_by_name.get(name) + + # Case A: 工站不存在 -> 新增 + if existing is None: + payload = {"name": name} + if cas_file: payload["cas"] = cas_file + if state_file: payload["state"] = state_file + + try: + resp = self.add_chemical(payload) + fid = resp.get("fid") or resp.get("chemical_id") + if isinstance(fid, int): + fid_by_substance[name] = fid + added += 1 + except Exception as e: + self._logger.error(f"新增失败 {name}: {e}") + continue + + # Case B: 工站存在 -> 检查更新 + fid = existing.get("fid") + fid_by_substance[name] = fid if isinstance(fid, int) else None + + payload = {k: v for k, v in existing.items() if v is not None} + payload["fid"] = fid + payload["name"] = existing.get("name") # 保持原名 + + need_update = False + cas_station = str(existing.get("cas") or "").strip() + if cas_file and cas_file != cas_station: + payload["cas"] = cas_file + need_update = True + + state_station = str(existing.get("state") or "").strip() + if state_file and state_file != state_station: + payload["state"] = state_file + need_update = True + + if need_update: + self.update_chemical(payload) + updated += 1 + + # 自动删除逻辑 + if auto_delete: + file_names = { + str(r.get("substance") or r.get("name") or "").strip() for r in rows + } + for item in station_list: + s_name = str(item.get("name") or "").strip() + s_fid = item.get("fid") + if s_name and s_name not in file_names and isinstance(s_fid, int): + self.delete_chemical(s_fid) + + # 回写 ID 到原数据结构 + result_rows = [] + for row in rows: + new_row = row.copy() + name = str(new_row.get("substance") or new_row.get("name") or "").strip() + fid = fid_by_substance.get(name) + if isinstance(fid, int): + new_row["chemical_id"] = fid # 统一回填到 chemical_id 字段 + result_rows.append(new_row) + + self._logger.info("化学品对齐逻辑执行完毕: 更新=%s, 新增=%s", updated, added) + return result_rows + + # ---------- 上料函数 ---------- + def _well_to_slot_index(self, well: str, tray_spec: Optional[Tuple[int, int]]) -> Optional[int]: + """ + 功能: + 将井位文本（如 A1、B2）转换为 slot 序号，按行优先编号。 + 参数: + well: str, 井位文本，格式 字母+数字，如 A1。 + tray_spec: Optional[Tuple[int, int]], (列数, 行数)。 + 返回: + Optional[int], 对应的 slot 序号，无法解析时返回 None。 + """ + if tray_spec is None: + return None + if not well or len(well) < 2: + return None + row_char = well[0].upper() + if not row_char.isalpha(): + return None + try: + col_count, row_count = tray_spec + col_index = int(well[1:]) # 1-based + row_index = ord(row_char) - ord("A") # 0-based + if col_index < 1 or col_index > col_count: + return None + if row_index < 0 or row_index >= row_count: + return None + return row_index * col_count + (col_index - 1) + except Exception: + return None + + def _normalize_tray_code_text(self, raw: Any) -> str: + """ + 功能: + 从类似“50 μL Tip 头托盘(201000815)”提取括号内的编码; 如果没有括号则返回原文本. + 参数: + raw: Any, 单元格原始值. + 返回: + str, 纯数字编码字符串或原文本. + """ + if raw is None: + return "" + text = str(raw).strip() + if "(" in text and ")" in text: + inside = text[text.rfind("(") + 1:text.rfind(")")] + digits = "".join(ch for ch in inside if ch.isdigit()) + if digits != "": + return digits + return text + + def _split_amount_unit(self, text: str) -> Tuple[float, str]: + """ + 功能: + 将类似 '2mL' 或 '500mg' 的文本拆为数值和单位. + 参数: + text: str, 输入文本. + 返回: + (float, str), 数值与单位, 无法解析数值时返回 0. + """ + number_part = "" + unit_part = "" + for ch in str(text): + if ch.isdigit() or ch == ".": + number_part += ch + else: + unit_part += ch + try: + value = float(number_part) if number_part != "" else 0.0 + except Exception: + value = 0.0 + unit = unit_part.strip() if unit_part.strip() != "" else "mL" + return value, unit + + def batch_in_tray(self, resource_req_list: List[JsonDict]) -> JsonDict: + return self._call_with_relogin(self._client.batch_in_tray, resource_req_list) + + def build_batch_in_tray_payload(self, rows: List[Tuple[str, str, str]]) -> List[JsonDict]: + """ + 功能: + 将清洗后的上料数据转换为 API Payload + 参数: + rows: List[Tuple], 每个元素为 (position, tray_type_text, content_text) + 返回: + List[Dict]: resource_req_list + """ + # 内部映射表 + tray_to_media = { + int(ResourceCode.REAGENT_BOTTLE_TRAY_2ML): ( + str(int(ResourceCode.REAGENT_BOTTLE_2ML)), True, "volume", "mL" + ), + int(ResourceCode.REAGENT_BOTTLE_TRAY_8ML): ( + str(int(ResourceCode.REAGENT_BOTTLE_8ML)), True, "volume", "mL" + ), + int(ResourceCode.REAGENT_BOTTLE_TRAY_40ML): ( + str(int(ResourceCode.REAGENT_BOTTLE_40ML)), True, "volume", "mL" + ), + int(ResourceCode.REAGENT_BOTTLE_TRAY_125ML): ( + str(int(ResourceCode.REAGENT_BOTTLE_125ML)), True, "volume", "mL" + ), + int(ResourceCode.POWDER_BUCKET_TRAY_30ML): ( + str(int(ResourceCode.POWDER_BUCKET_30ML)), False, "weight", "mg" + ), + } + no_substance_trays = { + int(ResourceCode.TIP_TRAY_50UL), int(ResourceCode.TIP_TRAY_1ML), int(ResourceCode.TIP_TRAY_5ML), + int(ResourceCode.REACTION_SEAL_CAP_TRAY), int(ResourceCode.FLASH_FILTER_INNER_BOTTLE_TRAY), + int(ResourceCode.FLASH_FILTER_OUTER_BOTTLE_TRAY), + int(ResourceCode.REACTION_TUBE_TRAY_2ML), int(ResourceCode.TEST_TUBE_MAGNET_TRAY_2ML), + } + consumable_map = { + int(ResourceCode.TIP_TRAY_50UL): int(ResourceCode.TIP_50UL), + int(ResourceCode.TIP_TRAY_1ML): int(ResourceCode.TIP_1ML), + int(ResourceCode.TIP_TRAY_5ML): int(ResourceCode.TIP_5ML), + int(ResourceCode.REACTION_SEAL_CAP_TRAY): int(ResourceCode.REACTION_SEAL_CAP), + int(ResourceCode.FLASH_FILTER_INNER_BOTTLE_TRAY): int(ResourceCode.FLASH_FILTER_INNER_BOTTLE), + int(ResourceCode.FLASH_FILTER_OUTER_BOTTLE_TRAY): int(ResourceCode.FLASH_FILTER_OUTER_BOTTLE), + int(ResourceCode.REACTION_TUBE_TRAY_2ML): int(ResourceCode.REACTION_TUBE_2ML), + int(ResourceCode.TEST_TUBE_MAGNET_TRAY_2ML): int(ResourceCode.TEST_TUBE_MAGNET_2ML), + } + + # 简单的内存缓存 + chem_cache: Dict[str, Optional[int]] = {} + + def _resolve_fid(sub_name: str) -> int: + if sub_name in chem_cache: + if chem_cache[sub_name] is None: raise ValidationError(f"未找到化学品: {sub_name}") + return chem_cache[sub_name] + + # 调用 API 查询 + resp = self.get_chemical_list(query_key=sub_name, limit=10) + lst = resp.get("chemical_list", []) + for c in lst: + if str(c.get("name")).strip() == sub_name: + fid = c.get("fid") or c.get("chemical_id") + chem_cache[sub_name] = fid + return fid + + # 模糊匹配 fallback + if lst: + fid = lst[0].get("fid") or lst[0].get("chemical_id") + chem_cache[sub_name] = fid + return fid + + chem_cache[sub_name] = None + raise ValidationError(f"未找到化学品: {sub_name}") + + resource_req_list: List[JsonDict] = [] + + for position, tray_type_raw, content in rows: + tray_layout = str(position).strip() + if not tray_layout: continue + + tray_code_text = self._normalize_tray_code_text(tray_type_raw) + tray_code_int = self._safe_int(tray_code_text) + if tray_code_int is None: continue + + resource_list: List[JsonDict] = [] + # 托盘本体 + resource_list.append({ + "layout_code": f"{tray_layout}:-1", + "resource_type": str(tray_code_int), + }) + + # 分支 A: 无物质耗材 (Tip头等) + if tray_code_int in no_substance_trays: + qty = self._safe_int(content) or 0 + if qty <= 0: continue + + # 限制最大容量 + spec = self._get_tray_spec(tray_code_int) + cap = (spec[0] * spec[1]) if spec else qty + qty = min(qty, cap) + + res_type = str(consumable_map.get(tray_code_int, tray_code_int)) + for idx in range(qty): + resource_list.append({ + "layout_code": f"{tray_layout}:{idx}", + "resource_type": res_type, + "with_cap": False + }) + + # 分支 B: 有物质容器 (试剂瓶/粉桶) + else: + entries = [seg.strip() for seg in str(content).split(";") if seg.strip()] + media_code, with_cap, amt_kind, def_unit = tray_to_media.get( + tray_code_int, (str(tray_code_int), False, "volume", "mL") + ) + tray_spec = self._get_tray_spec(tray_code_int) + + for seg in entries: + parts = [p.strip() for p in seg.split("|")] + if len(parts) < 3: continue + + slot_raw, substance, amt_str = parts[0], parts[1], parts[2] + + slot_idx = self._safe_int(slot_raw) + if slot_idx is None: + slot_idx = self._well_to_slot_index(slot_raw, tray_spec) + if slot_idx is None: continue + + val, unit = self._split_amount_unit(amt_str) + if not unit: unit = def_unit + + fid = _resolve_fid(substance) + + media_item = { + "layout_code": f"{tray_layout}:{slot_idx}", + "resource_type": media_code, + "with_cap": with_cap, + "substance": substance, + "unit": unit, + "chemical_id": fid + } + + if amt_kind == "volume": + media_item["initial_volume"] = val + else: + media_item["initial_weight"] = val + + resource_list.append(media_item) + + resource_req_list.append({ + "remark": "", + "resource_list": resource_list + }) + + self._logger.info("已生成上料 Payload, 包含 %s 个托盘", len(resource_req_list)) + return resource_req_list + + # ---------- 下料函数 ---------- + def batch_out_tray(self, layout_codes: List[str], move_type: str = "main_out") -> JsonDict: + """ + 功能: + 批量下料, 接收托盘位置编码列表并调用出料接口. + 参数: + layout_codes: List[str], 资源位置编码列表, 如 ["N-4", "N-5"]. + move_type: 下料方式, 默认 "main_out". + 返回: + Dict, 接口响应. + """ + if layout_codes is None: + raise ValidationError("layout_codes 不能为空") + if len(layout_codes) == 0: + raise ValidationError("layout_codes 不能为空") + + layout_list: List[JsonDict] = [] + for code in layout_codes: + if code is None: + continue + text = str(code).strip() + if text == "": + continue + layout_list.append({"layout_code": text}) # 构造 API 需要的格式 + + if len(layout_list) == 0: + raise ValidationError("layout_codes 解析后为空") + + resp = self._call_with_relogin(self._client.batch_out_tray, layout_list, move_type) + self._assert_success(resp, "批量下料") + self._logger.info("批量下料开始执行") + return resp + + # ---------- 清空站内资源（慎用） ---------- + def clear_tray_shelf(self) -> JsonDict: + """ + 功能: + 清空站内托盘货架. + 参数: + 无. + 返回: + Dict, 接口响应. + """ + return self._call_with_relogin(self._client.clear_tray_shelf) + + # ---------- 开关外舱门 ---------- + def open_close_door(self, op: str, *, station: str = "FSY", door_num: int = 0) -> JsonDict: + """ + 功能: + 打开/关闭过渡舱门 + 参数: + op: "open" 或 "close". + station: 站点编码，默认 "FSY". + door_num: 门编号，默认 0. + 返回: + Dict, 接口响应. + """ + return self._call_with_relogin(self._client.open_close_door, station, op, door_num) + + # ---------- 任务模块 ---------- 未完成 + def add_task(self, payload: JsonDict) -> JsonDict: + return self._call_with_relogin(self._client.add_task, payload) + + def start_task(self, task_id: int) -> JsonDict: + return self._call_with_relogin(self._client.start_task, task_id) + + def stop_task(self, task_id: int) -> JsonDict: + return self._call_with_relogin(self._client.stop_task, task_id) + + def cancel_task(self, task_id: int) -> JsonDict: + return self._call_with_relogin(self._client.cancel_task, task_id) + + def delete_task(self, task_id: int) -> JsonDict: + return self._call_with_relogin(self._client.delete_task, task_id) + + def get_task_info(self, task_id: int) -> JsonDict: + return self._call_with_relogin(self._client.get_task_info, task_id) + + def get_task_list( + self, + *, + sort: str = "desc", + offset: int = 0, + limit: int = 20, + status: Optional[List[int]] = None, + ) -> JsonDict: + """ + 功能: + 获取任务列表, 对应 GetTaskList + 参数: + sort: 排序方式, 默认按创建时间倒序 + offset: 数据起点 + limit: 数据限制 + status: 任务状态列表, 例如 [0, 1] + 返回: + Dict, 接口响应 + """ + body: JsonDict = { + "sort": sort, + "offset": offset, + "limit": limit, + } + if status is not None: + body["status"] = status # 传递状态过滤 + return self._call_with_relogin(self._client.get_task_list, body) + + def _extract_task_sums(self, resp: JsonDict) -> Optional[int]: + """ + 功能: + 从任务列表响应中提取 task_sums 总数 + 参数: + resp: 任务列表接口响应 + 返回: + Optional[int], 任务总数 + """ + if "task_sums" in resp and isinstance(resp.get("task_sums"), int): + return int(resp["task_sums"]) + for outer in ("result", "data"): + outer_obj = resp.get(outer) + if isinstance(outer_obj, dict) and isinstance(outer_obj.get("task_sums"), int): + return int(outer_obj["task_sums"]) + return None + + def get_all_tasks(self) -> JsonDict: + """ + 功能: + 获取全部任务列表, 先用一次 GetTaskList 读取 task_sums, 再用 limit 拉全量 + 参数: + 无 + 返回: + Dict, 包含完整任务列表 + """ + first_resp = self.get_task_list(limit=1, offset=0, sort="desc") + task_sums = self._extract_task_sums(first_resp) + if task_sums is None: + raise ValidationError(f"GetTaskList 未返回 task_sums, resp={first_resp}") + self._logger.info("开始获取全部任务列表, total=%s", task_sums) # 记录预期条数 + return self.get_task_list(limit=task_sums, offset=0, sort="desc") + + def _extract_task_status(self, task_info: JsonDict) -> Optional[int]: + """ + 功能: + 从 GetTaskInfo 返回中提取 status, 兼容不同字段层级。 + 参数: + task_info: 任务详情响应. + 返回: + Optional[int], 解析出的状态码. + """ + if "status" in task_info and isinstance(task_info.get("status"), int): + return int(task_info["status"]) + + for key in ("result", "data"): + obj = task_info.get(key) + if isinstance(obj, dict) and isinstance(obj.get("status"), int): + return int(obj["status"]) + + return None + + def wait_task( + self, + task_id: int, + *, + timeout_s: float = 3600.0, + poll_interval_s: float = 2.0, + done_status: Optional[List[int]] = None, + fail_status: Optional[List[int]] = None, + ) -> int: + """ + 功能: + 轮询任务状态直到结束或超时。 + 参数: + task_id: 任务 id. + timeout_s: 超时秒数. + poll_interval_s: 轮询间隔秒数. + done_status: 视为完成的状态集合, 默认 [COMPLETED]. + fail_status: 视为失败的状态集合, 默认 [FAILED, STOPPED]. + 返回: + int, 最终 status. + """ + done = done_status or [int(TaskStatus.COMPLETED)] + fail = fail_status or [int(TaskStatus.FAILED), int(TaskStatus.STOPPED)] + + start_ts = time.time() + last_status = None + + while True: + info = self.get_task_info(task_id) + status = self._extract_task_status(info) + + if status is not None and status != last_status: + self._logger.info("任务状态变化 task_id=%s, status=%s", task_id, status) + last_status = status + + if status in done: + return int(status) + if status in fail: + return int(status) + + if time.time() - start_ts > timeout_s: + raise TimeoutError(f"任务超时, task_id={task_id}, last_status={status}") + + time.sleep(poll_interval_s) + + def create_and_start_task(self, payload: JsonDict) -> int: + """ + 28 + 功能: + 创建任务并启动, 返回 task_id. + 参数: + payload: AddTask 请求体. + 返回: + int, task_id. + """ + resp = self.add_task(payload) + task_id = resp.get("task_id") or resp.get("result", {}).get("task_id") + if not isinstance(task_id, int): + raise ValidationError(f"AddTask 未返回 task_id, resp={resp}") + self.start_task(int(task_id)) + return int(task_id) + + # ---------- 任务生成 (Excel/CSV 模板) ---------- + def build_task_payload(self, params: Dict[str, Any], headers: List[str], + data_rows: List[List[Any]], chemical_db: Dict[str, Any]) -> JsonDict: + """ + 功能:3333333322222222222222222222222210. + 将结构化的实验数据转换为 AddTask API Payload + 参数: + params: 实验全局参数 (反应时间、温度等) + headers: 实验数据表头列表 + data_rows: 实验数据行 (每行为值列表) + chemical_db: 化学品信息字典 + 返回: + Dict: AddTask 请求体 + """ + # 1. 参数预处理 + try: + weighing_error_pct = float(str(params.get("称量误差(%)", 1)).replace('%', '')) + except: + weighing_error_pct = 1.0 + + try: + max_error_mg = float(str(params.get("最大称量误差(mg)", 1)).strip()) + except: + max_error_mg = 1.0 + + auto_magnet = str(params.get("自动加磁子", "是")).strip() == "是" + fixed_order = str(params.get("固定加料顺序", "否")).strip() == "是" + exp_count = len(data_rows) + + if exp_count not in [12, 24, 36, 48]: + # 这里的限制取决于硬件，暂时警告 + self._logger.warning(f"实验数量 {exp_count} 非标准 (12/24/36/48)") + + # 2. 全局列分析 (Global Mapping) - 不依赖 Pandas + # col_metadata 结构: {col_idx, type, max_vol, name, is_reagent_group} + col_metadata = [] + col_idx = 0 + + while col_idx < len(headers): + header = headers[col_idx] + + if "试剂" in header: + # 这一组是 (试剂名称, 试剂量) + # 扫描该列所有行确定类型 + is_liquid, is_solid, is_magnet_manual = False, False, False + max_vol = 0.0 + + for row in data_rows: + if col_idx >= len(row): continue + c_name = str(row[col_idx]).strip() + if not c_name or c_name == "0": continue + + if c_name == "加磁子": + is_magnet_manual = True + elif c_name in chemical_db: + state = chemical_db[c_name].get('physical_state', '').lower() + if 'liquid' in state: is_liquid = True + if 'solid' in state: is_solid = True + + # 计算最大体积用于排序 + if 'liquid' in state and (col_idx + 1 < len(row)): + amt_val, amt_unit = self._split_amount_unit(str(row[col_idx+1])) + vol_ml = amt_val if amt_unit in ['ml', 'mL'] else amt_val / 1000.0 + if vol_ml > max_vol: max_vol = vol_ml + + final_type = 'other' + if is_magnet_manual: final_type = 'magnet_manual' + elif is_liquid: final_type = 'liquid' + elif is_solid: final_type = 'solid' + + col_metadata.append({ + "col_idx": col_idx, + "type": final_type, + "max_vol": max_vol, + "is_reagent_group": True + }) + col_idx += 2 # 跳过 Amount 列 + + elif "加磁子" in header: + col_metadata.append({ + "col_idx": col_idx, + "type": "magnet_manual", + "max_vol": 0, + "is_reagent_group": False + }) + col_idx += 1 + else: + col_idx += 1 + + # 3. 确定执行顺序 + VIRTUAL_MAGNET_COL_IDX = -999 + ordered_cols = [] + + if not fixed_order: + # 排序策略: 固体 -> 自动磁子 -> 手动磁子 -> 液体(体积降序) -> 其他 + solids = [c for c in col_metadata if c['type'] == 'solid'] + manual_magnets = [c for c in col_metadata if c['type'] == 'magnet_manual'] + liquids = [c for c in col_metadata if c['type'] == 'liquid'] + liquids.sort(key=lambda x: x['max_vol'], reverse=True) + others = [c for c in col_metadata if c['type'] not in ['solid', 'liquid', 'magnet_manual']] + + ordered_cols.extend(solids) + if auto_magnet: + ordered_cols.append({"col_idx": VIRTUAL_MAGNET_COL_IDX, "type": "magnet_auto"}) + ordered_cols.extend(manual_magnets) + ordered_cols.extend(liquids) + ordered_cols.extend(others) + else: + # 固定顺序策略: 保持原序，首个液体前插磁子 + inserted_magnet = False + for c in col_metadata: + if auto_magnet and not inserted_magnet and c['type'] == 'liquid': + ordered_cols.append({"col_idx": VIRTUAL_MAGNET_COL_IDX, "type": "magnet_auto"}) + inserted_magnet = True + ordered_cols.append(c) + if auto_magnet and not inserted_magnet: + ordered_cols.append({"col_idx": VIRTUAL_MAGNET_COL_IDX, "type": "magnet_auto"}) + + # 4. 行号映射 + col_to_row_map = {} + curr_row = 0 + for item in ordered_cols: + col_to_row_map[item['col_idx']] = curr_row + curr_row += 1 + + # 固定操作行号 + ROW_IDX_REACTION = curr_row + 1 + ROW_IDX_INT_STD = curr_row + 2 + ROW_IDX_STIR_AFTER = curr_row + 3 + ROW_IDX_FILTER = curr_row + 4 + + # 5. 生成 Layout List + layout_list = [] + common_fields = { + "layout_code": "", "src_layout_code": "", "resource_type": "551000502", + "status": 0, "tray_QR_code": "", "QR_code": "" + } + + for exp_idx, row_vals in enumerate(data_rows): + unit_column = exp_idx + + # 遍历排好序的列定义 + for item in ordered_cols: + c_idx = item['col_idx'] + target_row = col_to_row_map[c_idx] + + # A. 自动加磁子 + if c_idx == VIRTUAL_MAGNET_COL_IDX: + has_explicit = False + for val in row_vals: + if str(val).strip() == "加磁子": + has_explicit = True + break + if not has_explicit: + self._add_unit_magnet(layout_list, common_fields, unit_column, target_row) + continue + + # B. 真实数据列 + if c_idx >= len(row_vals): continue + val_name = str(row_vals[c_idx]).strip() + + if not val_name or val_name == "0": continue + + if val_name == "加磁子": + self._add_unit_magnet(layout_list, common_fields, unit_column, target_row) + continue + + if val_name not in chemical_db: + raise ValidationError(f"实验 {exp_idx+1}: 未知化学品 '{val_name}'") + + chem_info = chemical_db[val_name] + + if item.get('is_reagent_group'): + # 获取 Amount + val_amt_str = str(row_vals[c_idx+1]) if (c_idx+1 < len(row_vals)) else "0" + amt_val, amt_unit = self._split_amount_unit(val_amt_str) + + if amt_val > 0: + self._add_reagent_unit( + layout_list, common_fields, unit_column, target_row, + val_name, chem_info, amt_val, amt_unit, weighing_error_pct,max_error_mg + ) + + # C. 后续固定操作 + # 反应 + self._add_reaction_unit(layout_list, common_fields, unit_column, ROW_IDX_REACTION, params) + + # 内标 + std_name = str(params.get("内标种类", "")).strip() + if std_name: + self._add_internal_std_unit( + layout_list, common_fields, unit_column, ROW_IDX_INT_STD, + std_name, chemical_db, params, weighing_error_pct,max_error_mg + ) + + # 搅拌 + stir_t = str(params.get("加入内标后搅拌时间(min)", "")).strip() + if stir_t: + self._add_stir_unit( + layout_list, common_fields, unit_column, ROW_IDX_STIR_AFTER, + float(stir_t), params + ) + + # 过滤 + dil_name = str(params.get("稀释液种类", "")).strip() + if dil_name: + self._add_filter_unit( + layout_list, common_fields, unit_column, ROW_IDX_FILTER, + dil_name, chemical_db, params + ) + + # 6. 组装 Payload + return { + "task_id": 0, + "task_name": str(params.get("实验名称", "AutoTask")), + "layout_list": layout_list, + "task_setup": { + "subtype": None, + "experiment_num": exp_count, + "vessel": "551000502", + "added_slots": "" + }, + "is_audit_log": 1, + "is_copy": False + } + + # ---------- 任务生成辅助函数：添加各类 Unit---------- + def _add_reagent_unit(self, layout_list: List[Dict], common_fields: Dict, col: int, row: int, + name: str, chem_info: Dict, amt_val: float, amt_unit: str, error_pct: float, max_error_mg: float): + """功能: 添加加粉或加液操作""" + unit_dict = common_fields.copy() + unit_dict.update({ + "unit_column": col, "unit_row": row, "unit_id": f"unit-{uuid.uuid4().hex[:8]}" + }) + + state = chem_info.get('physical_state', 'unknown').lower() + mw = float(chem_info.get('molecular_weight', 0) or 0) + density = float(chem_info.get('density (g/mL)', 0) or 0) + + if 'solid' in state: + target_mg = 0.0 + if amt_unit.lower() == 'mmol': target_mg = amt_val * mw + elif amt_unit.lower() == 'g': target_mg = amt_val * 1000.0 + elif amt_unit.lower() == 'mg': target_mg = amt_val + + calc_offset = target_mg * (error_pct / 100.0) + final_offset = max(0.1, min(calc_offset, max_error_mg)) + + unit_dict.update({ + "unit_type": "exp_add_powder", + "process_json": { + "offset": round(final_offset, 1), + "custom": {"unit": "mg", "unitOptions": ["mg", "g"]}, + "substance": name, + "chemical_id": chem_info['chemical_id'], + "add_weight": round(target_mg, 1) + } + }) + + elif 'liquid' in state: + target_vol_ml = 0.0 + if amt_unit.lower() == 'mmol': + mass_mg = amt_val * mw + if density > 0: target_vol_ml = (mass_mg / 1000.0) / density + elif amt_unit.lower() == 'ml': target_vol_ml = amt_val + elif amt_unit.lower() == 'ul': target_vol_ml = amt_val / 1000.0 + + unit_dict.update({ + "unit_type": "exp_pipetting", + "process_json": { + "custom": {"unit": "mL","unitOptions": ["mL","µL","L"]}, + "substance": name, + "chemical_id": chem_info['chemical_id'], + "add_volume": round(target_vol_ml,3) + } + }) + layout_list.append(unit_dict) + + def _add_unit_magnet(self, layout_list, common_fields, col, row): + """功能: 添加加磁子操作""" + unit_dict = common_fields.copy() + unit_dict.update({ + "unit_type": "exp_add_magnet", + "unit_column": col, "unit_row": row, "unit_id": f"unit-{uuid.uuid4().hex[:8]}", + "process_json": {"custom": {"unit": ""}} + }) + layout_list.append(unit_dict) + + def _add_reaction_unit(self, layout_list: List[JsonDict], common_fields: JsonDict, col: int, row: int, params: JsonDict) -> None: + """ + 功能: + 添加反应操作单元 (Unit), 处理温度与加热状态. + 参数: + layout_list: List[JsonDict], 任务布局列表. + common_fields: JsonDict, 通用字段模板. + col: int, 单元所在列号. + row: int, 单元所在行号. + params: JsonDict, 实验参数字典. + 返回: + 无. + """ + rxn_temp_raw = params.get("反应温度(°C)") + + # Determine target temperature from params + tgt_temp_raw = None + for key in params.keys(): + if "搅拌后" in str(key) and "温度" in str(key): + tgt_temp_raw = params[key] + break + + rxn_time_h = float(params.get("反应时间(h)", 0)) + rxn_rpm = int(params.get("转速(rpm)", 0)) + is_wait = str(params.get("等待目标温度", "否")) == "是" + + process_data = { + "rotation_speed": rxn_rpm, + "reaction_duration": int(rxn_time_h * 3600), + "is_wait": is_wait, + "custom": {"unit": ""} + } + + # 1. Reaction Temperature logic: Replace pd.isna with None/Empty check + if rxn_temp_raw is None or str(rxn_temp_raw).strip() == "": + process_data["temperature"] = 25 + else: + process_data["temperature"] = float(rxn_temp_raw) + + # 2. Target Temperature logic: Replace pd.isna with None/Empty check + if tgt_temp_raw is None or str(tgt_temp_raw).strip() == "": + process_data["is_heating"] = False + else: + try: + target_t = float(tgt_temp_raw) + process_data["is_heating"] = True + process_data["target_temperature"] = target_t + except ValueError: + process_data["is_heating"] = False + + unit_dict = common_fields.copy() + unit_dict.update({ + "unit_type": "exp_magnetic_stirrer", + "unit_column": col, + "unit_row": row, + "unit_id": f"unit-{uuid.uuid4().hex[:8]}", + "process_json": process_data + }) + layout_list.append(unit_dict) + + def _add_internal_std_unit(self, layout_list: List[JsonDict], common_fields: JsonDict, col: int, row: int, name: str, db: Dict[str, Any], params: JsonDict, error_pct: float, max_error_mg: float) -> None: + """ + 功能: + 添加内标加料单元. + 参数: + layout_list: List[JsonDict], 任务布局列表. + common_fields: JsonDict, 通用字段模板. + col/row: int, 坐标. + name: str, 内标物质名称. + db: Dict, 化学品数据库. + params: JsonDict, 参数. + error_pct: float, 允许误差百分比. + 返回: + 无. + """ + if name not in db: + return + + chem_info = db[name] + state = chem_info.get('physical_state', 'unknown').lower() + chem_id = chem_info['chemical_id'] + + unit_dict = common_fields.copy() + unit_dict.update({ + "unit_column": col, + "unit_row": row, + "unit_id": f"unit-{uuid.uuid4().hex[:8]}" + }) + + if 'solid' in state: + target_mg = float(params.get("内标用量(μL/mg)", 10.0)) + calc_offset = target_mg * (error_pct / 100.0) + final_offset = max(0.1, min(calc_offset, min(calc_offset, max_error_mg))) + + unit_dict.update({ + "unit_type": "exp_add_powder", + "process_json": { + "offset": round(final_offset, 1), + "custom": {"unit": "mg", "unitOptions": ["mg", "g"]}, + "substance": name, + "chemical_id": chem_id, + "add_weight": round(target_mg, 1) + } + }) + elif 'liquid' in state: + target_vol_ml = 0.1 + + # Replacement for pd.notna: Check if key exists and value is not empty + val_ul = params.get("内标用量(μL/mg)") + + if val_ul is not None and str(val_ul).strip() != "": + target_vol_ml = float(val_ul) / 1000.0 + + unit_dict.update({ + "unit_type": "exp_pipetting", + "process_json": { + "custom": {"unit": "mL","unitOptions": ["mL","µL","L"]}, + "substance": name, + "chemical_id": chem_id, + "add_volume": round(target_vol_ml,3) + } + }) + layout_list.append(unit_dict) + + def _add_stir_unit(self, layout_list, common_fields, col, row, time_min, params): + """功能: 添加搅拌""" + rxn_rpm = int(params.get("转速(rpm)", 600)) + unit_dict = common_fields.copy() + unit_dict.update({ + "unit_type": "exp_magnetic_stirrer", + "unit_column": col, "unit_row": row, "unit_id": f"unit-{uuid.uuid4().hex[:8]}", + "process_json": { + "temperature": 25, "rotation_speed": rxn_rpm, "reaction_duration": int(time_min * 60), + "is_wait": False, "is_heating": False, "target_temperature": 25, "custom": {"unit": ""} + } + }) + layout_list.append(unit_dict) + + def _add_filter_unit(self, layout_list, common_fields, col, row, diluent_name, db, params): + """功能: 添加过滤""" + if diluent_name not in db: return + chem_id = db[diluent_name]['chemical_id'] + dilution_vol_ul = float(params.get("稀释量(μL)", 0)) + sample_vol_ul = float(params.get("取样量(μL)", 0)) + + unit_dict = common_fields.copy() + unit_dict.update({ + "unit_type": "exp_filtering_sample", + "unit_column": col, "unit_row": row, "unit_id": f"unit-{uuid.uuid4().hex[:8]}", + "process_json": { + "single_press_num": 6, "substance": diluent_name, "chemical_id": chem_id, + "add_volume": dilution_vol_ul/1000, "sampling_volume": sample_vol_ul/1000 + } + }) + layout_list.append(unit_dict) + + def _parse_amount_string(self, amt_str: Any) -> Tuple[float, str]: + """ + 功能: + 解析 '100mg', '5 mmol' 等字符串, 分离数值与单位. + 参数: + amt_str: Any, 输入的金额字符串或数值. + 返回: + Tuple[float, str], (数值, 单位). + """ + # Replacement for pd.isna: check None or empty string + if amt_str is None: + return 0, "" + + text = str(amt_str).strip().lower() + if text == "" or text == "0": + return 0, "" + + # Regex matching number + unit + match = re.match(r"([0-9.]+)\s*([a-z%]+)", text) + if match: + return float(match.group(1)), match.group(2) + + try: + return float(text), "unknown" + except Exception: + return 0, "error" + + # ---------- 消息通知与故障恢复 ---------- + def notice(self, types: Optional[List[int]] = None) -> JsonDict: + return self._call_with_relogin(self._client.notice, types) + + def fault_recovery( + self, + *, + ids: Optional[List[int]] = None, + recovery_type: int = 0, + resume_task: int = 1, + ) -> JsonDict: + return self._call_with_relogin( + self._client.fault_recovery, + ids=ids, + recovery_type=recovery_type, + resume_task=resume_task, + ) + + # ---------- 方法模块 ---------- 未完成 + def create_method(self, payload: JsonDict) -> JsonDict: + return self._call_with_relogin(self._client.create_method, payload) + + def update_method(self, task_template_id: int, payload: JsonDict) -> JsonDict: + return self._call_with_relogin(self._client.update_method, task_template_id, payload) + + def delete_method(self, task_template_id: int) -> JsonDict: + return self._call_with_relogin(self._client.delete_method, task_template_id) + + def get_method_detail(self, task_template_id: int) -> JsonDict: + return self._call_with_relogin(self._client.get_method_detail, task_template_id) + + def get_method_list(self, *, limit: int = 20, offset: int = 0, sort: str = "desc") -> JsonDict: + return self._call_with_relogin(self._client.get_method_list, limit=limit, offset=offset, sort=sort) + + def get_latest_method_detail(self) -> JsonDict: + """ + 功能: + 获取最近一个方法详情, 通过 list(limit=1) 再 detail 的方式实现。 + 参数: + 无. + 返回: + Dict, 方法详情. + """ + lst = self.get_method_list(limit=1, offset=0, sort="desc") + data = lst.get("result") or lst.get("data") or lst + items = data.get("list") if isinstance(data, dict) else None + if not items: + raise ValidationError(f"方法列表为空, resp={lst}") + tid = items[0].get("task_template_id") + if not isinstance(tid, int): + raise ValidationError(f"无法解析 task_template_id, item={items[0]}") + return self.get_method_detail(int(tid)) + +if __name__ == "__main__": + + settings = Settings.from_env() + configure_logging(settings.log_level) + logger = logging.getLogger("station_controller.main") + + controller = SynthesisStationController() + + # #设备输初始化 + # controller.device_init() + + #获取资源列表 + resource_info = controller.get_resource_info() + out_path = Path("resource_info.json") + out_path.write_text(json.dumps(resource_info, ensure_ascii=False, indent=2), encoding="utf-8") + + # #获取工站内设备所有信息 + # device_info = controller.list_device_status() + # print(device_info) + + # #获取工站化合物库信息： + # chemical_info = controller.get_all_chemical_list() + # print(chemical_info) + # output_csv = controller.export_chemical_list_to_csv(chemical_info, Path("station_chemical_list.csv")) + + # #从csv文件中新增化合物 + # controller.sync_chemicals_from_csv(Path("add_chemical_list.csv"), overwrite=False) + + # 删除特定ID的化合物 + # controller.delete_chemical(363) + + # #获取手套箱内气体氛围的情况 + # device_info = controller.get_glovebox_env() + # print(device_info) + + # #批量下料测试 + # out_resp = controller.batch_out_tray(["N-4", "W-2-1","W-2-5","W-3-2"]) + + # # 批量上料测试 + # resource_req_list = controller.build_batch_in_tray_payload_from_sheet("batch_in_tray.xlsx") + # out_path = Path("resource_req_list.json") + # out_path.write_text(json.dumps(resource_req_list, ensure_ascii=False, indent=2), encoding="utf-8") + # result = controller.batch_in_tray(resource_req_list) + + #————————————————————————化合物库对齐———————————————————————— + + # #检查化学品列表的合理性 + # controller.check_chemical_list_file("chemical_list.xlsx") + + # # 对齐化合物库和站内化学品列表 + # controller.align_chemicals_from_file("chemical_list.xlsx") + + #————————————————————————创建任务———————————————————————— + + # #获取所有任务信息 + # result = controller.get_all_tasks() + # out_path = Path("task_list.json") + # out_path.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8") + + # #从表格中创建任务 + # result = controller.create_task_from_template("reeaction_template.xlsx") + # result2 = controller.add_task(result) + # print(result2) + # # controller.delete_task(571) + + # out_path = Path("reaction_template.json") + # out_path.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8") + + + diff --git a/unilabos/devices/workstation/eit_synthesis_station/driver/__init.py b/unilabos/devices/workstation/eit_synthesis_station/driver/__init.py new file mode 100644 index 00000000..b77438f2 --- /dev/null +++ b/unilabos/devices/workstation/eit_synthesis_station/driver/__init.py @@ -0,0 +1,27 @@ +""" +功能: + core 层导出. +""" +from .api_client import ApiClient +from .exceptions import ( + DriverError, + ConfigError, + RequestError, + ResponseError, + ApiError, + AuthenticationError, + AuthorizationExpiredError, + ValidationError, +) + +__all__ = [ + "ApiClient", + "DriverError", + "ConfigError", + "RequestError", + "ResponseError", + "ApiError", + "AuthenticationError", + "AuthorizationExpiredError", + "ValidationError", +] diff --git a/unilabos/devices/workstation/eit_synthesis_station/driver/api_client.py b/unilabos/devices/workstation/eit_synthesis_station/driver/api_client.py new file mode 100644 index 00000000..2feb5b41 --- /dev/null +++ b/unilabos/devices/workstation/eit_synthesis_station/driver/api_client.py @@ -0,0 +1,615 @@ +import json +import logging +from typing import Any, Dict, List, Optional, Union + +import requests + +from config.setting import Settings, configure_logging +from .exceptions import ( + ApiError, + AuthenticationError, + AuthorizationExpiredError, + ConfigError, + RequestError, + ResponseError, + ValidationError, +) + +JsonDict = Dict[str, Any] + + +class ApiClient: + """ + 功能: + 【底层驱动】封装 31 个基础 API 调用, 只做 HTTP 与错误处理, 不做业务流程. + """ + + def __init__(self, settings: Settings): + if not settings.base_url: + raise ConfigError("base_url 不能为空.") + + self._settings = settings + self._session = requests.Session() + self._logger = logging.getLogger(self.__class__.__name__) + + self._token_type: Optional[str] = None + self._access_token: Optional[str] = None + + @property + def access_token(self) -> Optional[str]: + return self._access_token + + def set_token(self, token_type: str, access_token: str) -> None: + """ + 功能: + 设置鉴权 token, 后续请求会自动带 Authorization 头. + 参数: + token_type: 例如 "Bearer". + access_token: token 字符串. + 返回: + 无. + """ + self._token_type = token_type + self._access_token = access_token + + def clear_token(self) -> None: + """ + 功能: + 清理本地缓存的 token, 用于主动退出或异常恢复 + 参数: + 无 + 返回: + None + """ + self._token_type = None + self._access_token = None + + def _url(self, path: str) -> str: + """ + 功能: + 拼接基础地址与路径, 生成完整请求 URL + 参数: + path: str, 目标接口路径, 允许带或不带前导斜杠 + 返回: + str, 完整的可访问 URL + """ + base = self._settings.base_url.rstrip("/") + p = path if path.startswith("/") else f"/{path}" + return f"{base}{p}" + + def _mask_sensitive(self, obj: Any) -> Any: + """ + 功能: + 遍历对象并掩码敏感字段, 用于日志输出时避免泄露 + 参数: + obj: Any, 待处理的字典或列表对象 + 返回: + Any, 已对敏感字段替换为 *** 的同结构对象 + """ + if isinstance(obj, dict): + masked = {} + for k, v in obj.items(): + if str(k).lower() in ("password", "access_token", "authorization"): + masked[k] = "***" + else: + masked[k] = self._mask_sensitive(v) + return masked + if isinstance(obj, list): + return [self._mask_sensitive(x) for x in obj] + return obj + + def _request( + self, + method: str, + path: str, + *, + json_body: Optional[JsonDict] = None, + params: Optional[JsonDict] = None, + timeout_s: Optional[float] = None, + ) -> JsonDict: + """ + 功能: + 统一封装 HTTP 请求, 处理认证、超时与业务异常 + 参数: + method: str, HTTP 方法名称, 例如 GET 或 POST + path: str, 接口路径, 允许带或不带前导斜杠 + json_body: Optional[JsonDict], 请求 JSON 体, 默认为 None + params: Optional[JsonDict], 查询参数, 默认为 None + timeout_s: Optional[float], 覆盖默认超时时间, 默认为 None 表示使用配置 + 返回: + JsonDict, 成功时的响应数据, 若响应为非字典则包装为 {"result": data} + """ + url = self._url(path) + timeout = timeout_s if timeout_s is not None else self._settings.timeout_s + + headers: Dict[str, str] = { + "Content-Type": "application/json", + } + if self._access_token: + # 附加授权头, 兼容缺省的 Bearer 类型 + token_type = self._token_type or "Bearer" + headers["Authorization"] = f"{token_type} {self._access_token}" + + self._logger.debug( + "HTTP request, method=%s, url=%s, params=%s, json=%s", + method, + url, + self._mask_sensitive(params or {}), + self._mask_sensitive(json_body or {}), + ) + + try: + resp = self._session.request( + method=method.upper(), + url=url, + headers=headers, + params=params, + json=json_body, + timeout=timeout, + verify=self._settings.verify_ssl, + ) + except requests.Timeout as e: + # 超时统一转为业务异常, 便于上层捕获 + raise RequestError(f"请求超时, url={url}") from e + except requests.RequestException as e: + # 其他请求异常统一包装 + raise RequestError(f"请求失败, url={url}, err={e}") from e + + if resp.status_code == 401: + # 登录失效明确提示重新登录 + raise AuthorizationExpiredError("登录失效(401), 请重新登录.") #失效登陆反馈 + if resp.status_code >= 400: + # 其他 HTTP 错误统一抛出请求异常 + raise RequestError( + f"HTTP错误, status={resp.status_code}, url={url}, body={resp.text}", + status_code=resp.status_code, + ) + + try: + data = resp.json() + except json.JSONDecodeError as e: + # 返回体非 JSON 时抛出响应异常 + raise ResponseError(f"响应非JSON, url={url}, body={resp.text}") from e + + self._logger.debug("HTTP response, url=%s, json=%s", url, self._mask_sensitive(data)) + + if isinstance(data, dict) and "code" in data: + code = data.get("code") + if code != 200: + raise ApiError(code=code, msg=str(data.get("msg", "")), payload=data) + + return data if isinstance(data, dict) else {"result": data} + + # 1. 登录 + def login(self, username: str, password: str) -> JsonDict: + """ + 功能: + 登录获取 token. + 参数: + username: 用户名. + password: 密码. + 返回: + Dict, 包含 access_token, token_type. + """ + if not username or not password: + raise ValidationError("username 与 password 不能为空.") + data = self._request("POST", "/api/Token", json_body={"username": username, "password": password}) + if "access_token" not in data: + raise AuthenticationError(f"登录失败, 响应缺少 access_token, resp={data}") + return data + + # 2. 设备初始化 + def device_init(self, device_id: Optional[List[str]] = None) -> JsonDict: + """ + 功能: + 设备初始化(复位, 状态检测等), 支持全站或指定设备. + 参数: + device_id: 设备 id 列表, None 表示全站初始化. + 返回: + Dict. + """ + body: JsonDict = {} + if device_id: + body["device_id"] = device_id + print(body) + return self._request("POST", "/api/DeviceInit", json_body=body) + + # 3. 获取资源 + def get_resource_info(self, filters: Optional[JsonDict] = None) -> JsonDict: + """ + 功能: + 获取资源详情, 参数为空则获取单站所有资源. + 参数: + filters: 可选过滤字段, 不确定字段时可传 {}. + 返回: + Dict. + """ + return self._request("POST", "/api/GetResourceInfo", json_body=filters or {}) + + # 4. 进料 + def in_tray(self, tray_qr_code: str, resource_list: List[JsonDict]) -> JsonDict: + """ + 功能: + 进料, 单盘进料. + 参数: + tray_qr_code: 托盘二维码. + resource_list: 资源列表. + 返回: + Dict. + """ + body = {"tray_QR_code": tray_qr_code, "resource_list": resource_list} + return self._request("POST", "/api/InTray", json_body=body) + + # 5. 批量进料 + def batch_in_tray(self, resource_req_list: List[JsonDict]) -> JsonDict: + """ + 功能: + 批量进料, 支持多托盘. + 参数: + resource_req_list: 每个托盘的进料请求列表. + 返回: + Dict. + """ + return self._request("POST", "/api/BatchInTray", json_body={"resource_req_list": resource_req_list}) + + # 6. 下料 + def out_tray(self, layout_list: List[JsonDict]) -> JsonDict: + """ + 功能: + 出料, 目前只支持整盘出料. + 参数: + layout_list: 资源列表, layout_code 支持 "All" 表示清空工站. + 返回: + Dict. + """ + return self._request("POST", "/api/OutTray", json_body={"layout_list": layout_list}) + + # 7. 批量下料 + def batch_out_tray(self, layout_list: List[JsonDict], move_type: str) -> JsonDict: + """ + 功能: + 批量下料, 对应 BatchOutTray. + 参数: + layout_list: 资源列表. + move_type: 下料方式, 例如 "main_out". + 返回: + Dict. + """ + body = {"layout_list": layout_list, "move_type": move_type} + return self._request("POST", "/api/BatchOutTray", json_body=body) + + # 8. 获取化学品 + def get_chemical_list( + self, + *, + query_key: Optional[str] = None, + sort: str = "desc", + offset: int = 0, + limit: int = 20, + ) -> JsonDict: + """ + 功能: + 获取化学品库列表, 对应 getChemicalList. + 参数: + query_key: 查询字符串. + sort: asc 或 desc. + offset: 数据起点. + limit: 数据限制. + 返回: + Dict. + """ + params: JsonDict = {"sort": sort, "offset": offset, "limit": limit} + if query_key: + params["query_key"] = query_key + return self._request("GET", "/api/v1/knowledge/getChemicalList", params=params) + + # 9. 新增化学品 + def add_chemical(self, payload: JsonDict) -> JsonDict: + """ + 功能: + 新增单个化学品, 对应 addChemical. + 参数: + payload: 化学品字段集合. + 返回: + Dict. + """ + return self._request("POST", "/api/v1/knowledge/addChemical", json_body=payload) + + # 10. 编辑化学品 + def update_chemical(self, payload: JsonDict) -> JsonDict: + """ + 功能: + 修改化学品信息, 对应 updateChemical. + 参数: + payload: 至少包含 fid, 其余字段参考新增化学品. + 返回: + Dict. + """ + return self._request("POST", "/api/v1/knowledge/updateChemical", json_body=payload) + + # 11. 删除化学品 + def delete_chemical(self, chemical_id: int) -> JsonDict: + """ + 功能: + 根据 id 删除化学品, 对应 deleteChemical. + 参数: + chemical_id: 化学品 id. + 返回: + Dict. + """ + return self._request("POST", "/api/v1/knowledge/deleteChemical", params={"chemical_id": chemical_id}) + + # 12. 新建方法 + def create_method(self, payload: JsonDict) -> JsonDict: + """ + 功能: + 新建方法, 对应 task_templates POST. + 参数: + payload: 方法字段集合, 例如 task_template_name, unit_save_json 等. + 返回: + Dict. + """ + return self._request("POST", "/api/v1/task_templates", json_body=payload) + + # 13. 编辑方法 + def update_method(self, task_template_id: int, payload: JsonDict) -> JsonDict: + """ + 功能: + 编辑某个方法, 对应 task_templates PUT. + 参数: + task_template_id: 方法 id. + payload: 方法字段集合, 参数同新建方法. + 返回: + Dict. + """ + return self._request("PUT", f"/api/v1/task_templates/{task_template_id}", json_body=payload) + + # 14. 删除方法 + def delete_method(self, task_template_id: int) -> JsonDict: + """ + 功能: + 删除某个方法, 对应 delete_template. + 参数: + task_template_id: 方法 id. + 返回: + Dict. + """ + return self._request( + "POST", + "/api/v1/task_templates/delete_template", + json_body={"task_template_id": task_template_id}, + ) + + # 15. 获取单个方法详情 + def get_method_detail(self, task_template_id: int) -> JsonDict: + """ + 功能: + 获取单个方法详情, 对应 task_templates GET. + 参数: + task_template_id: 方法 id. + 返回: + Dict. + """ + return self._request("GET", f"/api/v1/task_templates/{task_template_id}") + + # 16. 获取方法列表 + def get_method_list(self, *, limit: int = 20, offset: int = 0, sort: str = "desc") -> JsonDict: + """ + 功能: + 获取方法列表. + 参数: + limit: 每页数量. + offset: 偏移量. + sort: asc 或 desc. + 返回: + Dict. + """ + return self._request("GET", "/api/v1/task_templates", params={"limit": limit, "offset": offset, "sort": sort}) + + + # 17. 创建任务 + def add_task(self, payload: JsonDict) -> JsonDict: + """ + 功能: + 创建或更新任务, 对应 AddTask. + 参数: + payload: AddTask 完整请求体. + 返回: + Dict. + """ + return self._request("POST", "/api/AddTask", json_body=payload) + + # 18. 启动任务 + def start_task(self, task_id: int) -> JsonDict: + """ + 功能: + 启动任务. + 参数: + task_id: 任务 id. + 返回: + Dict. + """ + return self._request("POST", "/api/StartTask", json_body={"task_id": task_id}) + + # 19. 暂停任务 + def stop_task(self, task_id: int) -> JsonDict: + """ + 功能: + 暂停任务, 对应 StopTask. + 参数: + task_id: 任务 id. + 返回: + Dict. + """ + return self._request("POST", "/api/StopTask", json_body={"task_id": task_id}) + + # 20. 取消任务 + def cancel_task(self, task_id: int) -> JsonDict: + """ + 功能: + 取消任务, 对应 CancelTask. + 参数: + task_id: 任务 id. + 返回: + Dict. + """ + return self._request("POST", "/api/CancelTask", json_body={"task_id": task_id}) + + # 21. 删除任务 + def delete_task(self, task_id: int) -> JsonDict: + """ + 功能: + 删除任务, 对应 DeleteTask. + 参数: + task_id: 任务 id. + 返回: + Dict. + """ + return self._request("POST", "/api/DeleteTask", json_body={"task_id": task_id}) + + # 22. 获取所有任务列表 + def get_task_list(self, payload: Optional[JsonDict] = None) -> JsonDict: + """ + 功能: + 获取任务列表, 对应 GetTaskList. + 参数: + payload: 查询参数, 不确定时可传 {}. + 返回: + Dict. + """ + return self._request("POST", "/api/GetTaskList", json_body=payload or {}) + + # 23. 获取单个任务详情 + def get_task_info(self, task_id: int) -> JsonDict: + """ + 功能: + 获取任务详情, 对应 GetTaskInfo. + 参数: + task_id: 任务 id. + 返回: + Dict. + """ + return self._request("POST", "/api/GetTaskInfo", json_body={"task_id": task_id}) + + # 24. 获取消息通知 + def notice(self, types: Optional[List[int]] = None) -> JsonDict: + """ + 功能: + 获取消息通知, 对应 Notice. + 参数: + types: 可选, 例如 [1, 2] 表示故障与告警, None 表示全部. + 返回: + Dict. + """ + body: JsonDict = {} + if types is not None: + body["type"] = types + return self._request("POST", "/api/Notice", json_body=body) + + # 25. 故障恢复 + def fault_recovery( + self, + *, + ids: Optional[List[int]] = None, + recovery_type: int = 0, + resume_task: int = 1, + ) -> JsonDict: + """ + 功能: + 故障恢复, 取消告警并可恢复任务运行. + 参数: + ids: 告警 id 列表, None 表示清除本机所有通知告警. + recovery_type: 恢复类型, 0..5. + resume_task: 0 仅清除不恢复, 1 清除并恢复, 默认 1. + 返回: + Dict. + """ + body: JsonDict = {"type": recovery_type, "resume_task": resume_task} + if ids is not None: + body["id"] = ids + return self._request("POST", "/api/Notice", json_body=body) + + # 26. 工站设备状态 + def station_state(self) -> JsonDict: + """ + 功能: + 获取工站设备状态. + 参数: + 无. + 返回: + Dict. + """ + return self._request("GET", "/api/station/state") + + # 27. 获取设备模块列 + def list_device_info(self) -> JsonDict: + """ + 功能: + 获取工站设备模块列表. + 参数: + 无. + 返回: + Dict. + """ + return self._request("POST", "/api/ListDeviceInfo", json_body={}) + + # 28. 获取所有设备信息 + def get_all_device_info(self) -> JsonDict: + """ + 功能: + 获取所有设备信息。 + 参数: + 无。 + 返回: + Dict. + """ + return self._request("POST", "/api/getAllDeviceInfo", json_body={}) + + # 29.清空站内所有资源 (ClearTrayShelf) + def clear_tray_shelf(self) -> JsonDict: + """ + 功能: + 清空站内所有资源（需手动移除所有资源）。 + 参数: + 无。 + 返回: + Dict. + """ + return self._request("POST", "/api/ClearTrayShelf", json_body={}) + + # 30.打开/关闭过渡舱外门 (OpenCloseDoor) + def open_close_door(self, station: str, op: str, door_num: int) -> JsonDict: + """ + 功能: + 打开/关闭过渡舱外门。 + 参数: + station: 站点编码, 例如 "FSY". + op: "open" 或 "close". 注意关门会自动置换气体！ + door_num: 门编号, 例如 0. + 返回: + Dict. + """ + body = {"op": op, "station": station, "door_num": door_num} + return self._request( + "POST", + "/api/OpenCloseDoor", + json_body=body, + params={"station": station}, + ) + + # 31. 批量查询设备运行状态 + def batch_list_device_runtimes(self, device_code_list: List[str]) -> JsonDict: + """ + 功能: + 批量查询设备运行状态, 对应 BatchListDeviceRuntimes + 参数: + device_code_list: List[str], 设备代码列表, 例如 ["352", "304", "306"] + 返回: + Dict[str, Any], 接口响应 + """ + if not device_code_list: + raise ValidationError("device_code_list 不能为空") + body = {"device_code_list": device_code_list} + return self._request("POST", "/api/BatchListDeviceRuntimes", json_body=body) + + diff --git a/unilabos/devices/workstation/eit_synthesis_station/driver/exceptions.py b/unilabos/devices/workstation/eit_synthesis_station/driver/exceptions.py new file mode 100644 index 00000000..eca0ae6c --- /dev/null +++ b/unilabos/devices/workstation/eit_synthesis_station/driver/exceptions.py @@ -0,0 +1,71 @@ +from typing import Any, Optional + + +class DriverError(Exception): + """ + 功能: + driver 统一异常基类. + """ + + +class ConfigError(DriverError): + """ + 功能: + 配置错误, 例如 base_url 为空. + """ + + +class ValidationError(DriverError): + """ + 功能: + 参数校验错误, 例如缺少必填字段. + """ + + +class RequestError(DriverError): + """ + 功能: + 网络请求错误, 例如连接失败, 超时, HTTP 非 200. + """ + + def __init__(self, message: str, *, status_code: Optional[int] = None): + super().__init__(message) + self.status_code = status_code + + +class ResponseError(DriverError): + """ + 功能: + 响应解析错误, 例如非 JSON, 或结构不符合预期. + """ + + +class ApiError(DriverError): + """ + 功能: + 业务错误, 即 HTTP 成功但 JSON 中 code != 200 或 msg 表示失败. + 参数: + code: 设备返回的业务 code. + msg: 设备返回的 msg. + payload: 原始响应 JSON, 便于排查. + """ + + def __init__(self, code: Any, msg: str, payload: Optional[dict] = None): + super().__init__(f"API error, code={code}, msg={msg}") + 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openpyxl +from openpyxl import Workbook,load_workbook +from openpyxl.worksheet.datavalidation import DataValidation +from openpyxl.styles import Font, Alignment +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple + +# 引入底层的控制器 (假设在同一目录下) +from controller.station_controller import SynthesisStationController +from config.setting import Settings, configure_logging +from config.constants import ResourceCode, TRAY_CODE_DISPLAY_NAME, TraySpec + +from driver.exceptions import ValidationError + +logger = logging.getLogger("StationManager") + +JsonDict = Dict[str, Any] + +class StationManager(SynthesisStationController): + """ + 功能: + 上层面向用户的管理器，继承自 SynthesisStationController。 + 负责处理 CSV/Excel 文件读取、生成模板，将文件内容转换为中间格式(List/Dict)， + 然后调用父类方法执行具体的业务逻辑。 + """ + + def __init__(self, settings: Optional[Settings] = None): + settings = settings or Settings.from_env() + configure_logging(settings.log_level) + super().__init__(settings) + + # ---------- 1. 化合物库文件处理 ---------- + def export_chemical_list_to_file(self, output_path: str) -> None: + """ + 功能: + 获取所有化学品并导出到 CSV 文件 + 参数: + output_path: 输出路径 + 返回: + None + """ + path = Path(output_path) + chemical_info = self.get_all_chemical_list() + chemical_list = chemical_info.get("chemical_list", []) + + if not chemical_list: + logger.warning("化学品列表为空，未写入文件") + return + + fieldnames = [ + "fid", "name", "sssi", "cas", "element", "state", + "concentration_str", "chemical_properties", "preparation_method" + ] + + # 确保目录存在 + path.parent.mkdir(parents=True, exist_ok=True) + + with path.open("w", newline="", encoding="utf-8-sig") as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=fieldnames, extrasaction='ignore') + writer.writeheader() + for item in chemical_list: + writer.writerow(item) + + logger.info(f"化学品列表已导出至: {path.resolve()}") + + def sync_chemicals_from_file(self, file_path: str, overwrite: bool = False) -> None: + """ + 功能: + 读取 CSV 文件并通过父类同步化学品到工站 + 参数: + file_path: CSV 文件路径 + overwrite: 是否覆盖更新 + 返回: + None + """ + path = Path(file_path) + if not path.exists(): + # 生成模板 + header = ["name", "cas", "element", "state", "concentration_str", "chemical_properties", "preparation_method"] + with path.open("w", newline="", encoding="utf-8-sig") as f: + csv.writer(f).writerow(header) + logger.warning(f"文件不存在，已生成模板: {path}") + return + + # 读取并清洗数据 + items: List[JsonDict] = [] + with path.open("r", newline="", encoding="utf-8-sig") as csvfile: + reader = csv.DictReader(csvfile) + for row in reader: + name = (row.get("name") or "").strip() + state = (row.get("state") or "").strip() + if name and state: + # 过滤空值键 + clean_item = {k: v.strip() for k, v in row.items() if v and str(v).strip()} + items.append(clean_item) + + # 调用父类逻辑处理 + self.sync_chemicals_from_data(items, overwrite=overwrite) + + def check_chemical_library_by_file(self, file_path: str) -> Dict[str, List[str]]: + """ + 功能: + 读取化学品库文件并调用底层校验逻辑，输出校验结果 + 参数: + file_path: str, 化学品库文件路径，支持 Excel/CSV + 返回: + Dict[str, List[str]], 包含 errors 与 warnings + """ + path = Path(file_path) + if not path.exists(): + raise FileNotFoundError(f"未找到化学品库文件: {path}") + + # 读取文件后交给控制层做校验 + df = pd.read_excel(path) if path.suffix.lower() in [".xlsx", ".xls"] else pd.read_csv(path) + df = df.fillna("") + rows = df.to_dict(orient="records") + headers = [str(col).strip() for col in df.columns] + + result = self.check_chemical_library_data(rows, headers) + + for msg in result.get("warnings", []): + logger.warning(msg) + + if len(result.get("errors", [])) > 0: + for msg in result["errors"]: + logger.error(msg) + raise ValidationError("化学品库完整性检查未通过，请修复错误后重试") + + return result + + def deduplicate_chemical_library_by_file(self, file_path: str, output_path: Optional[str] = None) -> List[JsonDict]: + """ + 功能: + 读取化学品库文件，按 substance 自动去重并回写 + 参数: + file_path: str, 输入文件路径，支持 Excel/CSV + output_path: Optional[str], 输出文件路径，默认覆盖原文件 + 返回: + List[Dict[str, Any]], 去重后的数据 + """ + path = Path(file_path) + if not path.exists(): + raise FileNotFoundError(f"未找到化学品库文件: {path}") + + df = pd.read_excel(path) if path.suffix.lower() in [".xlsx", ".xls"] else pd.read_csv(path) + df = df.fillna("") + headers = [str(c).strip() for c in df.columns] + rows = df.to_dict(orient="records") + + dedup_rows = self.deduplicate_chemical_library_data(rows, headers) + + target_path = Path(output_path) if output_path else path + out_df = pd.DataFrame(dedup_rows) + if target_path.suffix.lower() == ".csv": + out_df.to_csv(target_path, index=False, encoding="utf-8-sig") + else: + out_df.to_excel(target_path, index=False) + self._beautify_excel_database(target_path) # 保存后再美化 + + logger.info("化合物库去重完成，输出文件: %s", target_path.resolve()) + return dedup_rows + + def _beautify_excel_database(self, file_path: Path) -> None: + """ + 功能: + 美化去重后的 Excel: 表头加粗、全居中、列宽自适应、按内容选择中英文字体 + 参数: + file_path: Path, 目标 Excel 路径 + 返回: + None + """ + wb = load_workbook(file_path) + ws = wb.active + MAX_WIDTH = 60 # 列宽上限 + + align_center = Alignment(horizontal="center", vertical="center") + + def _is_chinese(text: str) -> bool: + return re.search(r"[\u4e00-\u9fff]", text) is not None + + # 遍历列计算列宽并设置字体/对齐 + for col_cells in ws.iter_cols(): + max_len = 0 + for idx, cell in enumerate(col_cells): + val_str = "" if cell.value is None else str(cell.value) + max_len = max(max_len, len(val_str)) + + # 按内容切换字体，表头加粗 + if idx == 0: + cell.font = Font(name="宋体", bold=True) if _is_chinese(val_str) else Font(name="Arial", bold=True) + else: + cell.font = Font(name="宋体") if _is_chinese(val_str) else Font(name="Arial") + + cell.alignment = align_center + + # 列宽留一点边距，最小 10，最大 40 + col_width = max(10, max_len + 2) + col_width = min(col_width, MAX_WIDTH) + ws.column_dimensions[col_cells[0].column_letter].width = col_width + + wb.save(file_path) + + def align_chemicals_with_file(self, file_path: str, auto_delete: bool = True) -> None: + """ + 功能: + 读取 Excel/CSV 文件，调用父类对齐逻辑，并将结果(fid)写回文件 + 参数: + file_path: 文件路径 + auto_delete: 是否删除不在文件中的工站化学品 + 返回: + None + """ + path = Path(file_path) + if not path.exists(): + raise FileNotFoundError(f"未找到化学品对齐文件: {path}") + + # 读取文件内容为 List[Dict] + df = pd.read_excel(path) if path.suffix in ['.xlsx', '.xls'] else pd.read_csv(path) + # 将 NaN 替换为空字符串 + df = df.fillna("") + rows = df.to_dict(orient='records') + header = df.columns.tolist() + + # 调用父类进行对齐，父类会修改 rows 中的数据(如回填 chemical_id) + updated_rows = self.align_chemicals_from_data(rows, auto_delete=auto_delete) + + # 写回文件 + new_df = pd.DataFrame(updated_rows) + # 保持原有列顺序，如果增加了新列(如 chemical_id 之前没有)，这会包含它 + if path.suffix == '.csv': + new_df.to_csv(path, index=False, encoding="utf-8-sig") + else: + new_df.to_excel(path, index=False) + self._beautify_excel_database(path) # 保存后再美化 + + logger.info(f"化学品对齐完成并回写文件: {path}") + + # ---------- 2. 上料文件处理 ---------- + def batch_in_tray_by_file(self, file_path: str) -> JsonDict: + """ + 功能: + 读取上料表格，转换为中间格式，调用父类生成 Payload 并执行上料 + 参数: + file_path: 文件路径 + 返回: + Dict: API 响应 + """ + path = Path(file_path) + if not path.exists(): + logger.warning(f"未找到{file_path}.自动生成模板文件") + self._generate_batch_in_tray_template(path.with_suffix(".xlsx")) + return {} + + rows: List[Tuple[str, str, str]] = [] + + # 读取文件 + if path.suffix == '.xlsx': + wb = openpyxl.load_workbook(path) + ws = wb.active + for row in ws.iter_rows(min_row=2, values_only=True): + # 确保取前三列，且处理 None + pos = str(row[0]) if row[0] is not None else "" + t_type = str(row[1]) if len(row) > 1 and row[1] is not None else "" + content = str(row[2]) if len(row) > 2 and row[2] is not None else "" + rows.append((pos, t_type, content)) + else: + df = pd.read_csv(path) + df = df.fillna("") + for _, row in df.iterrows(): + rows.append((str(row[0]), str(row[1]), str(row[2]))) + + # 调用父类生成 Payload + payload = self.build_batch_in_tray_payload(rows) + + if not payload: + logger.warning("生成的上料数据为空") + return {} + + # 执行上料 + return payload + # return self.batch_in_tray(payload) + + def _generate_batch_in_tray_template(self, file_path: Path) -> None: + """ + 功能: + 生成批量上料Excel模板, 配置上料点位下拉、托盘类型下拉与内容示例 + 参数: + file_path: Path, 模板输出路径 + 返回: + None + """ + wb = Workbook() + ws = wb.active + ws.title = "batch_in_tray" + ws.append(["position", "tray_type", "content"]) + ws.column_dimensions["B"].width = 60 + ws.column_dimensions["C"].width = 80 + + # 位置下拉，包含 TB 列与 W-1-1~W-1-8 货位 + positions_tb = [f"TB-{row}-{col}" for row in (1, 2) for col in range(1, 5)] + positions_w = [f"W-1-{index}" for index in range(1, 9)] + positions = positions_tb + positions_w + dv_pos = DataValidation(type="list", formula1=f"\"{','.join(positions)}\"") + ws.add_data_validation(dv_pos) + dv_pos.add("A2:A101") + + # 托盘下拉，耗材显示数量范围，带物质显示点位范围 + consumable_trays = { + int(ResourceCode.TIP_TRAY_50UL), + int(ResourceCode.TIP_TRAY_1ML), + int(ResourceCode.TIP_TRAY_5ML), + int(ResourceCode.REACTION_SEAL_CAP_TRAY), + int(ResourceCode.FLASH_FILTER_INNER_BOTTLE_TRAY), + int(ResourceCode.FLASH_FILTER_OUTER_BOTTLE_TRAY), + int(ResourceCode.REACTION_TUBE_TRAY_2ML), + int(ResourceCode.TEST_TUBE_MAGNET_TRAY_2ML), + } + tray_display: List[str] = [] + for code, name in TRAY_CODE_DISPLAY_NAME.items(): + base_text = f"{name}({code})" + try: + enum_name = ResourceCode(code).name + spec = getattr(TraySpec, enum_name, None) + except Exception: + spec = None + + if spec is None: + tray_display.append(base_text) + continue + + col_count, row_count = spec + if col_count <= 0 or row_count <= 0: + tray_display.append(base_text) + continue + + if code in consumable_trays: + capacity = col_count * row_count + tray_display.append(f"{base_text} [1-{capacity}]") + else: + end_row_char = chr(ord("A") + row_count - 1) + tray_display.append(f"{base_text} [A1-{end_row_char}{col_count}]") + + # 用隐藏sheet作为数据源，避免下拉字符串过长 + tray_sheet = wb.create_sheet("validation_meta") + for idx, option in enumerate(tray_display, start=1): + tray_sheet.cell(row=idx, column=1).value = option + tray_sheet.sheet_state = "hidden" + + dv_tray = DataValidation( + type="list", + formula1=f"=validation_meta!$A$1:$A${len(tray_display)}", + showInputMessage=True, + ) + ws.add_data_validation(dv_tray) + dv_tray.add("B2:B101") + + ws["C1"] = "content(耗材填数量; 物质填: A1|名称|2mL; B2|名称|5mg)" + wb.save(file_path) + logger.info(f"已生成上料模板: {file_path}") + + # ---------- 3. 任务生成文件处理 ---------- + def create_task_by_file(self, template_path: str, chemical_db_path: str) -> JsonDict: + """ + 功能: + 读取任务模板和化学品库，解析为中间数据，调用父类生成任务 Payload 并提交 + 参数: + template_path: 实验模板路径 + chemical_db_path: 化学品库路径 + 返回: + Dict: 任务创建结果 + """ + t_path = Path(template_path) + c_path = Path(chemical_db_path) + + # 1. 检查并生成模板 + if not t_path.exists(): + self._generate_reaction_template(t_path) + raise FileNotFoundError(f"已生成模板 {t_path}，请填写后重试") + + if not c_path.exists(): + raise FileNotFoundError(f"未找到化学品库文件: {c_path}") + + # 2. 读取化学品库 -> Dict + chem_df = pd.read_excel(c_path) if c_path.suffix.lower() in [".xlsx", ".xls"] else pd.read_csv(c_path) + chem_df.columns = [str(c).strip().lower() for c in chem_df.columns] + + def _pick(row, *keys, default=None): + for k in keys: + if k in row and pd.notna(row[k]): + return row[k] + return default + + chemical_db: Dict[str, Dict[str, Any]] = {} + for _, r in chem_df.iterrows(): + row = {k: r.get(k) for k in chem_df.columns} + name = str(_pick(row, "substance", "name", "chemical_name", default="") or "").strip() + if not name: + continue + + chemical_db[name] = { + "chemical_id": _pick(row, "chemical_id"), + "molecular_weight": _pick(row, "molecular_weight", "mw"), + "physical_state": str(_pick(row, "physical_state", "state", default="") or "").strip().lower(), + # 统一把各种写法都接住（你原先 lower 后再用 'density (g/mL)' 是取不到的） + "density (g/mL)": _pick( + row, + "density (g/ml)", + "density(g/ml)", + "density_g_ml", + "density", + default=None, + ), + "fid": _pick(row, "fid"), + } + + # 3. 读取任务模板 -> params(Dict), headers(List), data_rows(List[List]) + wb = load_workbook(t_path, data_only=True) + ws = wb.active + + # 3.1 找到表头行/实验编号列（模板里一般是：row=1, col=3） + header_row = None + exp_no_col = None + for r in range(1, min(ws.max_row, 50) + 1): + for c in range(1, min(ws.max_column, 50) + 1): + v = ws.cell(r, c).value + if isinstance(v, str) and "实验编号" in v: + header_row, exp_no_col = r, c + break + if header_row is not None: + break + if header_row is None or exp_no_col is None: + raise ValueError("模板中未找到'实验编号'表头") + + # 3.2 提取全局参数（左侧 A/B） + # - 实验名称：A1是标签，用户通常填在 B1 + params: Dict[str, Any] = {} + exp_name = ws.cell(1, 2).value # B1 + if exp_name is not None and str(exp_name).strip() != "": + params["实验名称"] = str(exp_name).strip() + + # 扫描 A/B（从第2行开始，遇到“注：”不停止也可以；这里仅跳过“注：”本行） + for r in range(2, ws.max_row + 1): + key = ws.cell(r, 1).value + val = ws.cell(r, 2).value + + if key is None: + continue + key_str = str(key).strip() + if not key_str: + continue + + # 跳过注释行（不写入 params；否则会污染） + if key_str.startswith("注：") or key_str.startswith("注:"): + continue + + # 分类标题行通常是合并单元格，B 为空；这类不要写入 params + if val is None or (isinstance(val, str) and val.strip() == ""): + continue + + params[key_str] = val + + # 3.3 生成 headers（从 “实验编号”列开始往右：C..M） + # 同时把 “试剂_1” -> “试剂名称_1”，让 build_task_payload 能识别 + raw_headers: List[Any] = [] + for c in range(exp_no_col, ws.max_column + 1): + raw_headers.append(ws.cell(header_row, c).value) + + headers: List[str] = [] + reagent_idx = 0 + for h in raw_headers: + s = "" if h is None else str(h).strip() + + # 规范化：试剂_1/试剂1 -> 试剂名称_1 + if s.startswith("试剂") and "量" not in s and s != "试剂名称": + reagent_idx += 1 + headers.append(f"试剂名称_{reagent_idx}") + continue + + # 规范化：试剂量 -> 试剂量_1/2/... + if "试剂量" in s: + # 若前面还没遇到试剂列，给个兜底编号 + idx = reagent_idx if reagent_idx > 0 else (len([x for x in headers if "试剂量" in x]) + 1) + headers.append(f"试剂量_{idx}") + continue + + headers.append(s) + + # 3.4 生成 data_rows：从表头下一行开始，按实验编号列读取到最后一列（C..M） + data_rows: List[List[Any]] = [] + for r in range(header_row + 1, ws.max_row + 1): + exp_no = ws.cell(r, exp_no_col).value + + # 实验编号为空：认为实验区结束（模板一般后面都是空） + if exp_no is None or (isinstance(exp_no, str) and exp_no.strip() == ""): + # 只有在已经读到至少一行实验后才 break，避免中间空行误判 + if data_rows: + break + else: + continue + + row_vals: List[Any] = [] + for c in range(exp_no_col, ws.max_column + 1): + v = ws.cell(r, c).value + # 这里不要强制 str 化，build_task_payload 内部会 str()；但 None 要变成 "" + row_vals.append("" if v is None else v) + + data_rows.append(row_vals) + + # 4. 调用父类纯逻辑生成 Payload + task_payload = self.build_task_payload(params, headers, data_rows, chemical_db) + + # 5. 提交任务信息到工站 + resp = self.add_task(task_payload) + + self._assert_success(resp,"创建任务") + + # 6. 提交任务信息到工站 + task_id = resp.get("task_id") + + return task_id + + def _generate_reaction_template(self, path: Path) -> None: + """ + 生成与 reeaction_template.xlsx 一致的反应模板 + 结构：左侧为参数配置区，右侧为实验试剂填报区 + """ + wb = Workbook() + ws = wb.active + ws.title = "Sheet1" + + # 模板默认字体：等线 11 + base_font = Font(name="等线", charset=134, family=2, scheme="minor", sz=11) + title_font = Font(name="等线", charset=134, family=2, scheme="minor", sz=11, bold=True) + center = Alignment(horizontal="center", vertical="center") + + # --- 1. 定义左侧参数配置数据 (行2开始, A列和B列) --- + left_params = [ + ("反应设定", ""), + ("实验名称", "Auto_task"), + ("反应器类型", "heat"), + ("反应时间(h)", 8), + ("反应温度(°C)", 40), + ("转速(rpm)", 500), + ("搅拌后⽬标温度(°C)", 30), + ("等待目标温度", "否"), + ("称量设定", ""), + ("称量误差(%)", 3), + ("最大称量误差(mg)", 1), + ("加料设定", ""), + ("固定加料顺序", "否"), + ("自动加磁子", "是"), + ("内标设定", ""), + ("内标种类", "1,3,5-三异丙基苯(内标,1mol/L in MeCN)"), + ("内标用量(μL/mg)", 100), + ("稀释液种类", "乙腈"), + ("稀释量(μL)", 500), + ("取样量(μL)", 2), + ("加入内标后搅拌时间(min)", 5), + ("", ""), # 空行 + ] + + # --- 2. 设置第一行表头 (Row 1) --- + ws.cell(row=1, column=3, value="实验编号").font = base_font + + reagent_count = 5 + current_col = 4 + for i in range(1, reagent_count + 1): + ws.cell(row=1, column=current_col, value=f"试剂").font = base_font + ws.cell(row=1, column=current_col + 1, value="试剂量").font = base_font + current_col += 2 + + # --- 3. 填充左侧参数区 (Row 2 ~ Row 22) --- + for idx, (param_name, default_val) in enumerate(left_params): + row_idx = idx + 1 # 从第2行开始 + + # 分类标题：模板是 A:B 合并，只写 A 列，且加粗 + if param_name and default_val == "": + ws.cell(row=row_idx, column=1, value=param_name).font = title_font + ws.merge_cells(start_row=row_idx, start_column=1, end_row=row_idx, end_column=2) + continue + + # 空行：保持空 + if param_name == "" and default_val == "": + continue + + # 普通参数行 + ws.cell(row=row_idx, column=1, value=param_name).font = base_font + ws.cell(row=row_idx, column=2, value=default_val).font = base_font + + # --- 4. 填充右侧实验编号 (Row 2 ~ Row 25) --- + for i in range(1, 25): # 1~24 + row_idx = i + 1 + ws.cell(row=row_idx, column=3, value=i).font = base_font + + # --- 5. 底部注释 (Row 23) --- + note_row = len(left_params) + 2 # 23 + note_text = "注：试剂量支持单位：(mmol,g,mg,μL,mL）" + ws.cell(row=note_row, column=1, value=note_text).font = base_font + ws.merge_cells(start_row=note_row, start_column=1, end_row=note_row, end_column=2) + ws.cell(row=note_row, column=1).alignment = center # 合并后的单元格居中 + + # --- 6. 字体铺满 (A1:M25) --- + for r in range(1, 26): + for c in range(1, 14): # A..M + cell = ws.cell(r, c) + # 标题行的粗体不要覆盖 + if cell.font and cell.font.bold: + continue + cell.font = base_font + + # --- 7. 对齐 --- + # C~L 整块都居中（含空白） + for r in range(1, 26): + for c in range(3, 13): # C..L + ws.cell(r, c).alignment = center + + # A 列：1~21 + 23 行居中（22/24/25 行保持默认） + for r in list(range(1, 22)) + [23]: + ws.cell(r, 1).alignment = center + + # B 列：只有有值的参数行居中（标题行/空白行/合并后的 B 不处理） + for r in [2, 3, 4, 5, 6, 7, 8, 10, 11, 13, 14, 16, 17, 18, 19, 20, 21]: + ws.cell(r, 2).alignment = center + + # M 列：只有表头 M1 居中 + ws.cell(1, 13).alignment = center + + # 表头 A1/C1 也居中（模板如此） + ws.cell(1, 1).alignment = center + ws.cell(1, 3).alignment = center + + # --- 8. 列宽： --- + widths_map = { + "A": 26.0, + "B": 38.0, + "C": 15.0, + "D": 14.0, + "E": 14.0, + "F": 14.0, + "G": 14.0, + "H": 14.0, + "I": 14.0, + "J": 14.0, + "K": 14.0, + "L": 14.0, + "M": 14.0, + } + for col_letter, w in widths_map.items(): + ws.column_dimensions[col_letter].width = w + + wb.save(path) + logger.info(f"已生成任务模板: {path}") + + # ---------- 4. 任务物料和站内物料对比 ---------- + + +if __name__ == "__main__": + + # 测试代码 + try: + settings = Settings.from_env() + manager = StationManager(settings) + + #---------------提交任务流程------------------- + + # 0. 设定文件名称 + + # 提交任务文件 + task_tpl = Path("reaction_template_5.xlsx") + + # 化合物库文件 + chem_db = Path("chemical_list.xlsx") + + # 进料文件 + template_in = Path("batch_in_tray.xlsx") + + # 3. 本地化学品库去重整理 + # manager.deduplicate_chemical_library_by_file(chem_db) + + # 4. 本地化学品库数据完整性检验 + # manager.check_chemical_library_by_file(chem_db) + + # 5. 工站化学品库和本地化学品库数据对齐 + # manager.align_chemicals_with_file(chem_db) + + # 6. 上传任务到工站 + # task_id = manager.create_task_by_file(str(task_tpl), str(chem_db)) + + # 4. 对比站内资源和任务文件json列出缺乏 + # manager.check_resource_for_task(str(task_tpl), str(chem_db)) + + # 5. 上料 + # manager.batch_in_tray_by_file(str(template_in)) + + # # 7 . 开始任务 + # resp = manager.start_task(task_id) + + #---------------工站状态查询------------------- + + # 1. 查询站内所有物料信息 + # resource_info = manager.get_resource_info() + + # 2. 查询站内所有设设备状态 + devices_info = manager.list_device_status() + print(devices_info) + + # 3. 查询工站运行状态 + station_info = manager.station_state() + + print(station_info) + # 4. 查询手套箱状态 + glovebox_info = manager.get_glovebox_env() + print(glovebox_info) + + #---------------其他可执行动作------------------- + + # 1. 登录 + # manager.login() + + # 2. 设备初始化 + # manager.device_init() + + + except Exception as e: + logger.error(f"测试失败: {e}", exc_info=True) + + #————————————————额外功能———————————————————— + + # # 获取站内所有化学品信息,导出到csv文件 + # manager.export_chemical_list_to_file("chemicals_list_export.csv") + + # # 通过csv进行化学品录入 + # manager.sync_chemicals_from_file("add_chemical_list.csv") From 7b6d8054d2a78404cd6149bcaa56ba45f14d7920 Mon Sep 17 00:00:00 2001 From: noiosoooo9999 Date: Mon, 12 Jan 2026 14:06:32 +0800 Subject: [PATCH 02/25] cloud --- mock_server.py | 45 + .../workstation/eit_synthesis_station.zip | Bin 0 -> 461581 bytes .../eit_synthesis_station/chemical_list.csv | 2085 +++++++++++++++++ .../eit_synthesis_station/chemical_list.xlsx | Bin 210502 -> 183607 bytes .../eit_synthesis_station/config/setting.py | 3 +- .../controller/station_controller.py | 8 +- .../driver/api_client.py | 4 +- .../eit_synthesis_station/eit_station.yaml | 208 ++ .../eit_synthesis_station/station_manager.py | 8 +- .../eit_synthesis_station/test.json | 20 + unilabos/registry/devices/eit_station.yaml | 208 ++ 11 files changed, 2578 insertions(+), 11 deletions(-) create mode 100644 mock_server.py create mode 100644 unilabos/devices/workstation/eit_synthesis_station.zip create mode 100644 unilabos/devices/workstation/eit_synthesis_station/chemical_list.csv create mode 100644 unilabos/devices/workstation/eit_synthesis_station/eit_station.yaml create mode 100644 unilabos/devices/workstation/eit_synthesis_station/test.json create mode 100644 unilabos/registry/devices/eit_station.yaml diff --git a/mock_server.py b/mock_server.py new file mode 100644 index 00000000..f3dca9f4 --- /dev/null +++ b/mock_server.py @@ -0,0 +1,45 @@ +from flask import Flask, request, jsonify + +app = Flask(__name__) + +# 通用的成功响应模板 +def success_response(data=None): + return jsonify({ + "code": 200, + "msg": "success", + "data": data or {}, + "access_token": "fake_token_123", # 专门给登录用 + "token_type": "Bearer" + }) + +# 1. 模拟登录接口 +@app.route('/api/Token', methods=['POST']) +def login(): + print(f"[Mock] 收到登录请求: {request.json}") + return success_response() + +# 2. 模拟创建任务接口 +@app.route('/api/AddTask', methods=['POST']) +def add_task(): + print(f"[Mock] 收到创建任务请求. 任务名称: {request.json.get('task_name')}") + # 这里可以打印一下，帮你检查发过来的数据对不对 + return success_response({"task_id": 999}) + +# 3. 模拟获取资源/化学品列表 (防止其他地方报错) +@app.route('/api/v1/knowledge/getChemicalList', methods=['GET']) +def get_chem_list(): + return success_response({ + "chemical_list": [], + "chemical_sums": 0 + }) + +# 4. “万能”接口：只要是你没定义的接口，统统返回成功 +@app.route('/', defaults={'path': ''}, methods=['GET', 'POST', 'PUT', 'DELETE']) +@app.route('/', methods=['GET', 'POST', 'PUT', 'DELETE']) +def catch_all(path): + print(f"[Mock] 调用了通用接口: /{path}") + return success_response() + +if __name__ == '__main__': + print("⚡ 模拟服务器已启动，地址: http://127.0.0.1:4669") + app.run(port=4669) \ No newline at end of file diff --git a/unilabos/devices/workstation/eit_synthesis_station.zip b/unilabos/devices/workstation/eit_synthesis_station.zip new file mode 100644 index 0000000000000000000000000000000000000000..21ff72ef8b725efe28e2527670e9255405ba6ccf GIT binary patch literal 461581 zcmagEW2`7qx3#%#+qP}nwr$(CZJe`h+qP}nHoo)T?sWG}?oC%RSFInFQ5myVRaQN7 zDo6u^paA^mfK{i_`LD_UJ)i*)0GL|3=sSDbxmcJwTRQ7IyBNAy+S}2)dO!mJg8b*Q z{~A{I6z=3|)*Z^eyf5 zU7QR(={#(lJ^m*rB!@bd7yll|f1LPgfGX%rw&3D`nFk=~fI-~!6OQf4)Bykjfk4gx 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