133 lines
5.3 KiB
Python
133 lines
5.3 KiB
Python
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"""主程序入口"""
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import time
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import threading
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from datetime import datetime
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from API.client import APIClient
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from API.mix_weight_api import MixWeightAPI
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from services.task_service import TaskService
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from services.monitoring_service import MonitoringService
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from database.access_db import AccessDB
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from database.sql_server import SQLServerDB
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from tcp.server import TCPServer
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from config.settings import (
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ACCESS_DB_PATH, ACCESS_DB_PASSWORD,
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TCP_HOST, TCP_PORT, CHECK_INTERVAL, MAX_AGE_HOURS
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)
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from utils.helpers import cleanup_old_timestamps
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def start_api_service():
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"""启动配比重量API服务"""
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api = MixWeightAPI()
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api.run(host='127.0.0.1', port=5001, debug=False, threaded=True)
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def main():
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api_thread = threading.Thread(target=start_api_service)
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api_thread.daemon = True
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api_thread.start()
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try:
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# 初始化TCP服务端
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tcp_server = TCPServer(host=TCP_HOST, port=TCP_PORT)
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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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# 初始化服务
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api_client = APIClient()
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task_service = TaskService()
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monitoring_service = MonitoringService(tcp_server)
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# 步骤1：获取AppID
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app_id = api_client.login()
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task_service.api_client.app_id = 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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last_artifact_list = [] # 用于存储上一次的完整artifact_list
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# 启动Access数据库Flag监控线程
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access_monitor_thread = threading.Thread(target=monitoring_service.monitor_access_flag_changes)
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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, artifact_list, send_list, half_volume = task_service.process_not_pour_info()
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current_artifact_ids = {task["artifact_id"] for task in tasks}
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# 检查artifact_list是否发生变化
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if artifact_list != last_artifact_list:
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print(f"检测到artifact_list更新: {artifact_list}")
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# 处理新出现的任务
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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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task_info = api_client.get_task_info(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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access_db = AccessDB(ACCESS_DB_PATH, ACCESS_DB_PASSWORD)
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try:
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max_mark = access_db.get_max_mark()
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finally:
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access_db.close()
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erp_id = int(max_mark) + 1
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# 步骤5：连接SQL Server数据库并插入数据
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sql_db = SQLServerDB()
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try:
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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": task["beton_volume"],
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"MorMete": 0.0,
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"TotVehs": 0,
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"TotMete": task_info["PlannedVolume"],
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"Qualitor": "",
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"Acceptor": "",
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"Attamper": "",
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"Flag": "1",
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"Note": ""
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}
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sql_db.insert_produce_data(insert_data)
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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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finally:
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sql_db.close()
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# 更新上次获取的ArtifactID集合和artifact_list
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last_artifact_ids = current_artifact_ids
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last_artifact_list = artifact_list.copy()
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# 每10分钟清理一次过期的时间戳记录
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cleanup_old_timestamps(task_service.artifact_timestamps, current_artifact_ids, MAX_AGE_HOURS)
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# 每10秒检查一次
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time.sleep(CHECK_INTERVAL)
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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' in locals():
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tcp_server.stop()
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if __name__ == "__main__":
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main()
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