"""主程序入口""" import time import threading from API.client import APIClient from API.mix_weight_api import MixWeightAPI from services.task_service import TaskService from services.monitoring_service import MonitoringService from database.access_db import AccessDB from database.sql_server import SQLServerDB from tcp.server import TCPServer from opc.client import OPCClient from config.settings import ( ACCESS_DB_PATH, ACCESS_DB_PASSWORD, TCP_HOST, TCP_PORT, TCP_CLIENT_HOST, TCP_CLIENT_PORT, CHECK_INTERVAL, MAX_AGE_HOURS ) from utils.helpers import cleanup_old_timestamps def start_api_service(): """启动配比重量API服务""" api = MixWeightAPI() api.run(host='127.0.0.1', port=5001, debug=False, threaded=True) def main(): global tcp_server, data_client api_thread = threading.Thread(target=start_api_service) api_thread.daemon = True api_thread.start() try: # 初始化TCP服务端 tcp_server = TCPServer(host=TCP_HOST, port=TCP_PORT) tcp_server_thread = threading.Thread(target=tcp_server.start) tcp_server_thread.daemon = True tcp_server_thread.start() # 初始化发送数据的OPC客户端 data_client = OPCClient(url=f'opc.tcp://{TCP_CLIENT_HOST}:{TCP_CLIENT_PORT}') data_client.start() # 等待服务端启动 time.sleep(1) # 初始化服务 api_client = APIClient() task_service = TaskService(tcp_server) monitoring_service = MonitoringService(tcp_server) # 步骤1:获取AppID app_id = api_client.login() if app_id is None: print("无法获取AppID,将在稍后重试...") else: task_service.api_client.app_id = app_id # 存储上次获取的所有ArtifactID last_artifact_ids = set() last_artifact_list = [] # 用于存储上一次的完整artifact_list # 启动Access数据库Flag监控线程 access_monitor_thread = threading.Thread(target=monitoring_service.monitor_access_flag_changes) access_monitor_thread.daemon = True access_monitor_thread.start() while True: try: # 如果没有有效的app_id,尝试重新登录 if task_service.api_client.app_id is None: print("尝试重新登录获取AppID...") app_id = api_client.login() if app_id is not None: task_service.api_client.app_id = app_id print("重新登录成功") else: print("重新登录失败,稍后重试...") time.sleep(10) # 等待10秒再重试 continue # 获取所有未浇筑信息 tasks, artifact_list, send_list, half_volume = task_service.process_not_pour_info() # 如果API调用失败,等待一段时间再重试 if tasks is None or artifact_list is None: print("获取未浇筑信息失败,稍后重试...") time.sleep(10) continue current_artifact_ids = {task["artifact_id"] for task in tasks} # 检查artifact_list是否发生变化 if artifact_list != last_artifact_list: print(f"检测到artifact_list更新: {artifact_list}") # 处理新出现的任务 new_artifact_ids = current_artifact_ids - last_artifact_ids if new_artifact_ids: print(f"检测到 {len(new_artifact_ids)} 个新任务") for task in tasks: if task["artifact_id"] in new_artifact_ids: task_info = api_client.get_task_info(task["beton_task_id"]) # 如果获取任务信息失败,跳过该任务 if task_info is None: print(f"无法获取任务信息,跳过任务: {task['artifact_id']}") continue # 连接Access数据库并获取最大Mark值 access_db = AccessDB(ACCESS_DB_PATH, ACCESS_DB_PASSWORD) try: max_mark = access_db.get_max_mark() finally: access_db.close() erp_id = int(max_mark) + 1 # 连接SQL Server数据库并插入数据 sql_db = SQLServerDB() try: # 检查 block_number 是否为 "补方" if task["block_number"] == "补方": print(f"任务 {task['artifact_id']} 的 block_number 为 '补方',跳过派单") task_service.insert_into_produce_table(sql_db, task_info, task["beton_volume"], erp_id,task["artifact_id"], half_volume, 0) continue print(f"处理新任务: {task['artifact_id']}") # 获取任务单信息 task_service.insert_into_produce_table(sql_db, task_info, task["beton_volume"], erp_id,task["artifact_id"], half_volume, 1) with monitoring_service.tasks_lock: monitoring_service.monitored_tasks.add(erp_id) monitoring_service.inserted_tasks[erp_id] = task["artifact_id"] print(f"任务 {erp_id} (ArtifactID: {task['artifact_id']}) 已添加到监控列表") finally: sql_db.close() # 更新上次获取的ArtifactID集合和artifact_list last_artifact_ids = current_artifact_ids last_artifact_list = artifact_list.copy() # 每10分钟清理一次过期的时间戳记录 cleanup_old_timestamps(task_service.artifact_timestamps, current_artifact_ids, MAX_AGE_HOURS) # 每10秒检查一次 time.sleep(CHECK_INTERVAL) except Exception as e: print(f"发生错误: {e}") time.sleep(2) except KeyboardInterrupt: print("程序已停止") # 停止TCP服务端 if 'tcp_server' in locals(): tcp_server.stop() # 停止OPC客户端 if 'data_client' in locals(): data_client.stop() if __name__ == "__main__": main()