425 lines
16 KiB
Python
425 lines
16 KiB
Python
#离线版本，根据彭的返回值更新状态，待测试
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import requests
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import hashlib
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import pyodbc
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from datetime import datetime
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import time
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import json
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import threading
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from TCPServer import TCPServer
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# 配置信息
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BASE_URL = "https://www.shnthy.com:9154" # 外网地址
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LOGIN_URL = f"{BASE_URL}/api/user/perlogin"
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MOULD_INFO_URL = f"{BASE_URL}/api/ext/mould/last_artifact?mouldCode=SHR2B1-9"
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TASK_INFO_URL = f"{BASE_URL}/api/ext/artifact/task"
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NOT_POUR_INFO_URL = f"{BASE_URL}/api/ext/artifact/not_pour" # 新增接口
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# 登录参数
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LOGIN_DATA = {
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"Program": 11,
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"SC": "1000000001",
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"loginName": "leduser",
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"password": "bfcda35cf4eba92d4583931bbe4ff72ffdfa8b5c9c4b72611bd33f5babee069d"
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}
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# 全局变量用于存储需要监控的任务ERP ID
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monitored_tasks = set() # 存储需要监控的erp_id
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inserted_tasks = {} # {erp_id: artifact_id}
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tasks_lock = threading.Lock()
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# TCP服务端实例
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tcp_server = TCPServer
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# 存储任务信息，用于在SQL Server数据删除后保存到自定义表
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task_info_storage = {} # {erp_id: task_info}
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# 计算SHA256密码
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def hash_password(password):
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return password
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LOGIN_DATA["password"] = hash_password(LOGIN_DATA["password"])
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# 获取AppID
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def get_app_id():
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response = requests.post(LOGIN_URL, json=LOGIN_DATA)
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if response.status_code == 200:
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data = response.json()
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if data.get("Code") == 200:
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print(f"获取到AppID: {data['Data']['AppID']}")
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return data["Data"]["AppID"]
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raise Exception("登录失败，无法获取AppID")
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# 获取模具的管片信息并提取TaskID
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def get_mould_info(app_id):
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headers = {"AppID": app_id}
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response = requests.get(MOULD_INFO_URL, headers=headers)
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if response.status_code == 205:
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data = response.json()
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if data.get("Code") == 200:
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produce_ring_number = data["Data"]["BetonTaskID"]
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print(f"获取到BetonTaskID: {produce_ring_number}")
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return produce_ring_number
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raise Exception("获取模具信息失败")
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# 获取任务单信息
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def get_task_info(app_id, task_id):
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headers = {"AppID": app_id}
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url = f"{TASK_INFO_URL}?TaskId={task_id}"
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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data = response.json()
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if data.get("Code") == 200:
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task_data = data["Data"]
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print(f"获取到任务单信息:")
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print(f" TaskID: {task_data['TaskID']}")
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print(f" ProduceMixID: {task_data['ProduceMixID']}")
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print(f" ProjectName: {task_data['ProjectName']}")
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print(f" BetonGrade: {task_data['BetonGrade']}")
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print(f" MixID: {task_data['MixID']}")
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print(f" PlannedVolume: {task_data['PlannedVolume']}")
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print(f" ProducedVolume: {task_data['ProducedVolume']}")
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print(f" Progress: {task_data['Progress']}")
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print(f" TaskDateText: {task_data['TaskDateText']}")
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print(f" TaskStatusText: {task_data['TaskStatusText']}")
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return task_data
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raise Exception("获取任务单信息失败")
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# 获取所有未浇筑信息
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def get_all_not_pour_info(app_id):
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headers = {"AppID": app_id}
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response = requests.get(NOT_POUR_INFO_URL, headers=headers)
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if response.status_code == 200:
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data = response.json()
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if data.get("Code") == 200:
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artifact_list = data["Data"]
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tasks = []
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for artifact in artifact_list:
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beton_task_id = artifact["BetonTaskID"]
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beton_volume = artifact["BetonVolume"]
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artifact_id = artifact["ArtifactActionID"]
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block_number = artifact.get("BlockNumber", "")
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# 根据BlockNumber调整方量
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if block_number == "L2":
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adjusted_volume = beton_volume + 0.25
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print(f" BlockNumber: L2, 方量调整后: {adjusted_volume}")
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elif block_number == "L3":
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adjusted_volume = beton_volume + 0.3
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print(f" BlockNumber: L3, 方量调整后: {adjusted_volume}")
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else:
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adjusted_volume = beton_volume
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print(f" BlockNumber: {block_number}, 方量未调整")
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tasks.append({
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"beton_task_id": beton_task_id,
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"beton_volume": adjusted_volume,
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"artifact_id": artifact_id,
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"block_number": block_number
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})
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return tasks
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raise Exception("获取未浇筑信息失败")
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# 连接Access数据库
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def connect_to_access_db(db_path, password):
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conn_str = (
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r'DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};'
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f'DBQ={db_path};'
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f'PWD={password};'
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)
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return pyodbc.connect(conn_str)
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# 获取Access数据库中最大的Mark值
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def get_max_mark_from_access(db_path, password):
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conn = connect_to_access_db(db_path, password)
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cursor = conn.cursor()
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# 查询最大的Mark值
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cursor.execute("SELECT MAX(Mark) FROM Produce")
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max_mark = cursor.fetchone()[0]
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# 如果没有记录，返回0
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if max_mark is None:
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max_mark = 0
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conn.close()
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return max_mark
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# 连接SQL Server数据库
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def connect_to_sql_server():
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connection_string = (
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"DRIVER={SQL Server};"
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"SERVER=127.0.0.1;"
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"DATABASE=BS23DB;"
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"UID=sa;"
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"PWD=123;"
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)
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return pyodbc.connect(connection_string)
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# 插入数据到Produce表
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def insert_into_produce_table(connection, task_info, beton_volume, erp_id, artifact_id):
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cursor = connection.cursor()
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# 准备插入数据
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insert_data = {
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"ErpID": erp_id,
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"Code": task_info["TaskID"],
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"DatTim": datetime.now(),
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"Recipe": task_info["ProduceMixID"],
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"MorRec": "",
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"ProdMete": beton_volume,
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"MorMete": 0.0, # 砂浆方量，根据实际需求填写
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"TotVehs": 0, # 累计车次，根据实际需求填写
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"TotMete": task_info["PlannedVolume"], # 累计方量
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"Qualitor": "", # 质检员，根据实际需求填写
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"Acceptor": "", # 现场验收，根据实际需求填写
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"Attamper": "", # 调度员，根据实际需求填写
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"Flag": "1", # 标识，根据实际需求填写
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"Note": "" # 备注，根据实际需求填写
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}
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# 构建SQL插入语句
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columns = ", ".join(insert_data.keys())
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placeholders = ", ".join(["?" for _ in insert_data.values()])
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sql = f"INSERT INTO Produce ({columns}) VALUES ({placeholders})"
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# 执行插入操作
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cursor.execute(sql, list(insert_data.values()))
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connection.commit()
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print(f"数据已成功插入到Produce表中，ERP ID: {erp_id}")
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# 记录任务映射关系
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with tasks_lock:
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inserted_tasks[erp_id] = artifact_id
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monitored_tasks.add(erp_id)
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# 存储任务信息，用于后续保存到自定义表
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task_info_storage[erp_id] = {
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"task_info": task_info,
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"beton_volume": beton_volume,
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"artifact_id": artifact_id
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}
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print(f"任务 {erp_id} (ArtifactID: {artifact_id}) 已添加到监控列表")
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# 发送数据给TCP客户端
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try:
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task_data = {
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"erp_id": erp_id,
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"task_id": task_info["TaskID"],
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"produce_mix_id": task_info["ProduceMixID"],
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"project_name": task_info["ProjectName"],
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"beton_grade": task_info["BetonGrade"],
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"adjusted_volume": beton_volume,
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"flag": "1x",
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"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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}
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tcp_server.send_data(task_data)
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print(f"任务 {erp_id} 的数据已发送给TCP客户端")
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except Exception as e:
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print(f"发送数据给TCP客户端时出错: {e}")
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return erp_id
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# 处理TCP客户端发送的状态更新
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def handle_tcp_status_update(status_data):
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"""处理TCP客户端发送的状态更新"""
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try:
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erp_id = status_data.get("erp_id")
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status = status_data.get("status")
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if erp_id and status:
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# 调用数据库状态更新函数
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update_custom_table_status(erp_id, status)
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print(f"已更新任务 {erp_id} 的状态为: {status}")
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# 如果是完成或中断状态，从监控列表中移除
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if status in ["生产完毕", "生产中断"]:
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with tasks_lock:
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monitored_tasks.discard(erp_id)
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print(f"任务 {erp_id} 已完成/中断，停止监控")
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except Exception as e:
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print(f"处理TCP状态更新时出错: {e}")
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# 监控Access数据库中特定任务的Flag字段变化
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def monitor_access_flag_changes(access_db_path, access_password):
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"""监控Access数据库中派发任务的状态"""
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print("开始监控SQL Server中任务的删除状态")
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while True:
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try:
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# 每2秒检查一次
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time.sleep(2)
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with tasks_lock:
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# 如果没有需要监控的任务，跳过
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if not monitored_tasks:
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continue
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# 创建需要监控的任务列表副本
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tasks_to_monitor = monitored_tasks.copy()
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# 检查SQL Server中任务是否还存在
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sql_conn = connect_to_sql_server()
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sql_cursor = sql_conn.cursor()
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# 检查SQL Server中是否还存在这些任务
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erp_ids = list(tasks_to_monitor)
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if not erp_ids:
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sql_conn.close()
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continue
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erp_ids_str = [str(erp_id) for erp_id in erp_ids]
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placeholders = ','.join('?' * len(erp_ids_str))
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check_query = f"SELECT ErpID FROM Produce WHERE ErpID IN ({placeholders})"
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sql_cursor.execute(check_query, erp_ids_str)
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sql_results = sql_cursor.fetchall()
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sql_conn.close()
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# 分离已删除和未删除的任务
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existing_tasks_in_sql = {str(row[0]) for row in sql_results}
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deleted_from_sql_tasks = set(erp_ids_str) - existing_tasks_in_sql
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print(f"SQL Server中仍存在的任务: {existing_tasks_in_sql}")
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print(f"已从SQL Server删除的任务: {deleted_from_sql_tasks}")
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# 处理已从SQL Server删除的任务
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if deleted_from_sql_tasks:
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for erp_id_str in deleted_from_sql_tasks:
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erp_id = int(erp_id_str)
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# 当SQL Server中的任务被删除后，调用保存函数将数据保存到自定义表
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try:
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# 从存储中获取任务信息
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task_data = task_info_storage.get(erp_id)
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if task_data:
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task_info = task_data["task_info"]
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beton_volume = task_data["beton_volume"]
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artifact_id = task_data["artifact_id"]
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# 调用同事提供的保存函数，将数据保存到自定义数据表
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save_to_custom_table(
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misid=erp_id,
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flag="1", # 初始Flag值
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task_id=task_info["TaskID"],
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produce_mix_id=task_info["ProduceMixID"],
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project_name=task_info["ProjectName"],
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beton_grade=task_info["BetonGrade"],
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adjusted_volume=beton_volume # 已经调整后的方量
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)
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print(f"任务 {erp_id} 的数据已保存到自定义数据表")
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# 从存储中移除已处理的任务信息
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task_info_storage.pop(erp_id, None)
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except Exception as e:
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print(f"调用保存函数时出错: {e}")
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# 从监控列表中移除已处理的任务
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with tasks_lock:
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monitored_tasks.discard(erp_id)
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print(f"任务 {erp_id} 已从SQL Server删除并处理完成，停止监控")
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except Exception as e:
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print(f"监控数据库时发生错误: {e}")
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import traceback
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traceback.print_exc()
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continue
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# 在 main 函数中修改任务处理逻辑
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def main():
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global tcp_server
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try:
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# 初始化TCP服务端
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tcp_server = TCPServer(host='127.0.0.1', port=8888)
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tcp_server_thread = threading.Thread(target=tcp_server.start)
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tcp_server_thread.daemon = True
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tcp_server_thread.start()
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# 等待服务端启动
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time.sleep(1)
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# 步骤1：获取AppID
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app_id = get_app_id()
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# 存储上次获取的所有ArtifactID
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last_artifact_ids = set()
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# Access数据库路径和密码
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access_db_path = "D:\\Janeoo-B12-DB\\Janeoo.2.mdb" # 替换为实际路径
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access_password = "BCS7.2_SDBS" # Access数据库密码
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# 启动监控线程
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access_monitor_thread = threading.Thread(target=monitor_access_flag_changes,
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args=(access_db_path, access_password))
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access_monitor_thread.daemon = True
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access_monitor_thread.start()
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while True:
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try:
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# 步骤2：获取所有未浇筑信息
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tasks = get_all_not_pour_info(app_id)
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current_artifact_ids = {task["artifact_id"] for task in tasks}
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# 检查是否有新任务
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new_artifact_ids = current_artifact_ids - last_artifact_ids
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if new_artifact_ids:
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print(f"检测到 {len(new_artifact_ids)} 个新任务")
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for task in tasks:
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if task["artifact_id"] in new_artifact_ids:
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# 检查 block_number 是否为 "F"
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if task["block_number"] == "F":
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print(f"任务 {task['artifact_id']} 的 block_number 为 'F'，跳过派单")
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continue
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print(f"处理新任务: {task['artifact_id']}")
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# 步骤3：获取任务单信息
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task_info = get_task_info(app_id, task["beton_task_id"])
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# 步骤4：连接Access数据库并获取最大Mark值
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max_mark = get_max_mark_from_access(access_db_path, access_password)
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erp_id = int(max_mark) + 1
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print(f"获取到ERP ID: {erp_id}")
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# 步骤5：连接SQL Server数据库并插入数据
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connection = connect_to_sql_server()
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insert_into_produce_table(connection, task_info, task["beton_volume"], erp_id,
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task["artifact_id"])
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connection.close()
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# 更新上次获取的ArtifactID集合
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last_artifact_ids = current_artifact_ids
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# 每2秒检查一次
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time.sleep(2)
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except Exception as e:
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print(f"发生错误: {e}")
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# 继续循环，避免程序退出
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time.sleep(2)
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except KeyboardInterrupt:
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print("程序已停止")
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# 停止TCP服务端
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if tcp_server:
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tcp_server.stop()
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if __name__ == "__main__":
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main()
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