公司git
05eba467b4
- 在定时任务同步订单状态时使用Redis锁，避免并发导致重复处理 - 同步回调接口中添加分布式锁，确保订单状态更新的原子性 - 主动查询订单支付状态接口增加Redis锁，防止重复发放积分 - 异步通知处理逻辑引入锁机制，处理锁定失败时适当重试或记录日志 - 捕获并区分锁定异常，避免错误日志泛滥，提升系统稳定性 - 保留数据库行级锁作为数据库层并发控制的保障措施
210 lines
8.3 KiB
Python
210 lines
8.3 KiB
Python
from flask import Flask, render_template, jsonify, Response, stream_with_context
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from config import Config
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from extensions import db, redis_client, migrate, s3_client
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from blueprints.auth import auth_bp
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from blueprints.api import api_bp
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from blueprints.admin import admin_bp
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from blueprints.payment import payment_bp
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from apscheduler.schedulers.background import BackgroundScheduler
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from apscheduler.triggers.interval import IntervalTrigger
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import threading
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import time
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import logging
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# 导入模律（必需在 db.create_all() 之前导入）
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import models
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# 定时任务函数
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def sync_pending_orders(app):
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"""定时任务: 检查并同步30分钟内的待支付订单"""
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with app.app_context():
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from models import Order, User, get_bj_now
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from services.alipay_service import AlipayService
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from services.logger import system_logger
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from datetime import timedelta
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try:
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# 查询最还30分钟内的待支付订单
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thirty_min_ago = get_bj_now() - timedelta(minutes=30)
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pending_orders = Order.query.filter(
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Order.status == 'PENDING',
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Order.created_at >= thirty_min_ago
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).all()
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if not pending_orders:
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return
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alipay_service = AlipayService()
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updated_count = 0
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for order in pending_orders:
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try:
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# 使用防止并发的锁
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lock_key = f"lock:order:{order.out_trade_no}"
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# 尝试获取锁，等待3秒。如果获取不到，说明正在处理，本次跳过
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with redis_client.lock(lock_key, timeout=10, blocking_timeout=3):
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# 查询订单状态
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alipay_result = alipay_service.query_order_status(order.out_trade_no)
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if alipay_result and alipay_result.get('trade_status') in ['TRADE_SUCCESS', 'TRADE_FINISHED']:
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# 使用行级锁重新查询，防止并发问题 (数据库层面的双重保障)
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order_locked = Order.query.filter_by(out_trade_no=order.out_trade_no).with_for_update().first()
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# 二次校验状态，防止异步回调已经处理
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if order_locked and order_locked.status == 'PENDING':
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# 更新订单
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order_locked.status = 'PAID'
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order_locked.trade_no = alipay_result.get('trade_no')
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if not order_locked.paid_at:
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order_locked.paid_at = get_bj_now()
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# 增加用户积分
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user = db.session.get(User, order_locked.user_id)
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if user:
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user.points += order_locked.points
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system_logger.info(f"定时任务-订单支付成功", order_id=order_locked.out_trade_no, points=order_locked.points, user_id=user.id)
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updated_count += 1
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db.session.commit()
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elif order_locked and order_locked.status == 'PAID':
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# 订单已经被处理，跳过
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logging.info(f"定时任务-订单 {order.out_trade_no} 已被处理，跳过")
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except Exception as e:
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# Redis lock error or other errors
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if "LockError" in str(e) or "BlockingIOError" in str(e):
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logging.info(f"定时任务-订单 {order.out_trade_no} 锁定失败或正在处理中")
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else:
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db.session.rollback()
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logging.error(f"定时任务处理订单 {order.out_trade_no} 失败: {str(e)}")
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if updated_count > 0:
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logging.info(f"定时任务完成，帮助更新了{updated_count}个订单")
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except Exception as e:
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logging.error(f"定时任务异常: {str(e)}", exc_info=True)
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# 导入模律（必需在 db.create_all() 之前导入）
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def create_app():
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app = Flask(__name__)
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app.config.from_object(Config)
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# 初始化扩展
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db.init_app(app)
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redis_client.init_app(app)
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migrate.init_app(app, db)
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# 注册蓝图
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app.register_blueprint(auth_bp)
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app.register_blueprint(api_bp)
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app.register_blueprint(admin_bp)
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app.register_blueprint(payment_bp)
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from flask import g, session
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from models import User, SystemLog
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@app.before_request
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def load_user():
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"""在每个请求前加载用户信息到 g，供日志系统使用"""
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user_id = session.get('user_id')
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if user_id:
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g.user_id = user_id
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g.user = db.session.get(User, user_id)
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else:
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g.user_id = None
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g.user = None
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@app.context_processor
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def inject_menu():
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"""将导航菜单注入所有模板，实现服务端渲染，解决闪烁问题"""
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from blueprints.auth import get_user_menu
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menu = get_user_menu(g.user) if hasattr(g, 'user') else []
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return dict(nav_menu=menu)
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@app.route('/api/system_logs')
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def get_system_logs():
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"""获取系统日志数据 (供后台管理界面使用)"""
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# 这里可以加入权限检查
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logs = SystemLog.query.order_by(SystemLog.created_at.desc()).limit(100).all()
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return jsonify([{
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'id': log.id,
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'user_id': log.user_id,
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'level': log.level,
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'module': log.module,
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'message': log.message,
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'extra': log.extra,
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'ip': log.ip,
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'path': log.path,
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'method': log.method,
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'user_agent': log.user_agent,
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'created_at': log.created_at_bj.strftime('%Y-%m-%d %H:%M:%S')
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} for log in logs])
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@app.route('/')
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def index():
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return render_template('index.html')
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@app.route('/ocr')
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def ocr():
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return render_template('ocr.html')
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@app.route('/visualizer')
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def visualizer():
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return render_template('kongzhiqi.html')
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@app.route('/video')
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def video_page():
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return render_template('video.html')
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@app.route('/files/<path:filename>')
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def get_file(filename):
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"""Proxy route to serve files from MinIO via the backend"""
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try:
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# Use s3_client to get the object
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file_obj = s3_client.get_object(Bucket=Config.MINIO["bucket"], Key=filename)
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def generate():
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for chunk in file_obj['Body'].iter_chunks(chunk_size=4096):
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yield chunk
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return Response(
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stream_with_context(generate()),
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mimetype=file_obj['ContentType'],
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headers={
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"Cache-Control": "public, max-age=86400"
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}
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)
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except Exception as e:
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# system_logger.error(f"File proxy error: {str(e)}") # Optional logging
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return jsonify({"error": "File not found"}), 404
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# 自动创建数据库表
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with app.app_context():
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print("🔧 正在检查并创建数据库表...")
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db.create_all()
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print("✅ 数据库表已就绪")
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# 创建并启动定时任务调度器
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try:
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scheduler = BackgroundScheduler(daemon=True)
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# 每分钟检查一次待支付订单
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scheduler.add_job(
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func=sync_pending_orders,
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args=[app],
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trigger=IntervalTrigger(minutes=1),
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id='sync_pending_orders',
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name='同步待支付订单',
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replace_existing=True
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)
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scheduler.start()
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print("🚀 定时任务引擎已启动，将每分钟检查一次待支付订单")
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except Exception as e:
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print(f"⚠️ 定时任务启动失败: {str(e)}")
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return app
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app = create_app()
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=5000, debug=True)
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