241 lines
8.8 KiB
Python
241 lines
8.8 KiB
Python
import os
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import sys
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import json
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import mimetypes
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from datetime import datetime
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from flask import Flask, send_from_directory, jsonify
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from flask_cors import CORS
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from flask_apscheduler import APScheduler
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# ==============================================================================
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# ✅ 1. 核心模块引用
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# ==============================================================================
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try:
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# 导入配置类
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from config import Config
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# 数据库实例
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from extensions import db
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# 数据模型
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from models import Device, DeviceHistory
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# 核心业务逻辑 (爬虫)
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from services.core import execute_monitor_task
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# 核心业务逻辑 (IoT) - 用于定时任务
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from services.iot_api import sync_iot_data_service
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# 路由蓝图
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try:
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from routes.api import api_bp as device_bp
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# 导入保存逻辑，供定时任务复用
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from routes.api import save_iot_cards_to_db, calculate_offset
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except ImportError:
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from routes.api import device_bp, save_iot_cards_to_db, calculate_offset
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except ImportError as e:
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print(f"❌ 严重错误: 模块导入失败。请检查文件名和变量名。详细信息: {e}")
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sys.exit(1)
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# ==============================================================================
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# 2. 路径计算 (核心修复：区分资源路径和数据路径)
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# ==============================================================================
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def get_paths():
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"""
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计算关键路径：
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1. resource_base: 用于存放 web_dist (打包后在临时目录)
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2. data_base: 用于存放数据库 (打包后在 exe 旁边)
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"""
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if getattr(sys, 'frozen', False):
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# --- 打包环境 (PyInstaller) ---
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# 资源文件在临时解压目录 (sys._MEIPASS)
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resource_base = sys._MEIPASS
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# 数据文件(数据库)在 exe 所在目录 (sys.executable 的父目录)
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data_base = os.path.dirname(sys.executable)
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else:
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# --- 开发环境 ---
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base = os.path.abspath(os.path.dirname(__file__))
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resource_base = base
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data_base = base
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return resource_base, data_base
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# 获取路径
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RESOURCE_BASE, DATA_BASE = get_paths()
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# 定义具体文件夹路径
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STATIC_FOLDER = os.path.join(RESOURCE_BASE, 'web_dist')
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# ⚠️ 关键：强制将 instance 文件夹定位到数据目录 (exe旁边)，而不是临时目录
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INSTANCE_PATH = os.path.join(DATA_BASE, 'instance')
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# 修复 Windows MIME 类型
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mimetypes.add_type('application/javascript', '.js')
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mimetypes.add_type('text/css', '.css')
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# ==============================================================================
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# 3. 定时任务逻辑 (保持不变)
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# ==============================================================================
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def auto_monitor_job(app):
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"""定时任务具体执行逻辑"""
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with app.app_context():
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print(f"⏰ [定时任务] 启动时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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# --- 任务 A: 爬虫更新 ---
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if execute_monitor_task:
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try:
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task_result = execute_monitor_task()
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if task_result:
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scraped_list = task_result.get('device_list', [])
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current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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count = 0
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for item in scraped_list:
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d_name = item.get('name')
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if not d_name: continue
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device = Device.query.filter_by(name=d_name).first()
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if not device:
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device = Device(name=d_name, source=item.get('source'), install_site="")
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db.session.add(device)
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db.session.flush()
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device.status = item.get('status')
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device.current_value = item.get('value')
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device.latest_time = item.get('target_time')
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device.check_time = current_time
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# =========== ✅ 核心修复开始：防止丢失 bound_iccid ===========
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# 1. 准备容器：先读取数据库里现有的 JSON 数据
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old_json = {}
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try:
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if device.json_data:
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old_json = json.loads(device.json_data)
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except Exception:
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old_json = {}
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# 2. 获取爬虫新数据
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new_json = item.get('raw_json', {})
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# 3. 合并数据：只更新新爬取到的字段，保留 old_json 里的 bound_iccid
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if isinstance(new_json, dict):
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old_json.update(new_json)
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# 4. 存回数据库
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device.json_data = json.dumps(old_json, ensure_ascii=False)
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# =========== ✅ 核心修复结束 ===========
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device.offset = calculate_offset(item.get('target_time'))
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db.session.add(DeviceHistory(
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device_id=device.id,
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status=device.status,
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result_data=device.current_value,
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data_time=item.get('target_time'),
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json_data=device.json_data
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))
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count += 1
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print(f"✅ [定时任务-爬虫] 更新 {count} 台")
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else:
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print("⚠️ [定时任务-爬虫] 未获取到数据")
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except Exception as e:
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print(f"❌ [定时任务-爬虫] 异常: {e}")
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import traceback
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traceback.print_exc()
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# ==============================================================================
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# 4. Flask 应用工厂
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# ==============================================================================
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def create_app():
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# ⚠️ 关键修改：显式传入 instance_path，告诉 Flask 去哪里找/存 数据库文件
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app = Flask(__name__, static_folder=STATIC_FOLDER, instance_path=INSTANCE_PATH)
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CORS(app)
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# 1. 确保 instance 目录存在 (在 exe 旁边创建文件夹)
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if not os.path.exists(app.instance_path):
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try:
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os.makedirs(app.instance_path, exist_ok=True)
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print(f"📁 已创建数据目录: {app.instance_path}")
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except OSError as e:
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print(f"❌ 无法创建数据目录 {app.instance_path}: {e}")
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# 2. 加载配置
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app.config.from_object(Config)
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# ⚠️ 关键修改：强制重写数据库 URI，确保使用绝对路径
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# 即使 Config 里写了，这里也要确保它指向我们刚才计算出的 INSTANCE_PATH
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db_name = 'monitor_data.db' # 你的数据库文件名
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db_path = os.path.join(app.instance_path, db_name)
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# Windows下路径分隔符处理，防止报错
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if sys.platform.startswith('win'):
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app.config['SQLALCHEMY_DATABASE_URI'] = f'sqlite:///{db_path}'
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else:
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app.config['SQLALCHEMY_DATABASE_URI'] = f'sqlite:////{db_path}'
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app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
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print(f"💾 数据库路径锁定为: {db_path}")
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# 3. 初始化扩展
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db.init_app(app)
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scheduler = APScheduler()
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scheduler.init_app(app)
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scheduler.start()
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# 4. 添加定时任务 (每天 12:00)
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scheduler.add_job(
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id='daily_monitor_task',
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func=auto_monitor_job,
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args=[app],
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trigger='cron',
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hour=12,
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minute=0
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)
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# 5. 注册路由蓝图
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app.register_blueprint(device_bp)
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# -------------------------------------------------
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# 前端路由支持
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# -------------------------------------------------
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@app.route('/')
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def serve_index():
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index_path = os.path.join(app.static_folder, 'index.html')
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if not os.path.exists(index_path):
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return f"❌ 错误: 前端文件丢失 ({index_path})", 404
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return send_from_directory(app.static_folder, 'index.html')
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@app.route('/<path:path>')
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def serve_static(path):
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file_path = os.path.join(app.static_folder, path)
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if os.path.exists(file_path):
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return send_from_directory(app.static_folder, path)
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if path.startswith('api') or path.startswith('static'):
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return jsonify({'code': 404, 'message': 'Not Found'}), 404
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return send_from_directory(app.static_folder, 'index.html')
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with app.app_context():
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# 自动创建表结构
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db.create_all()
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return app
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if __name__ == '__main__':
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app = create_app()
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debug_mode = not getattr(sys, 'frozen', False)
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print("🚀 服务启动中...")
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# use_reloader=False 防止定时任务执行两次
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app.run(host='0.0.0.0', port=5000, debug=debug_mode, use_reloader=False) |