数据库监控日志、接口监控，熔断机制，提高连接池

app/main.py

@@ -6,6 +6,7 @@ import logging
 from .core.config import settings
 from .core.logging_config import setup_logging, get_logger
 from .core.database import init_db
+from .core.db_monitor import start_monitoring, log_pool_status, get_pool_status
 from .api.account import router as account_router
 from .api.database import router as database_router
 from .api.task import router as task_router
@@ -34,6 +35,17 @@ async def lifespan(app: FastAPI):
     except Exception as e:
         logger.error(f"数据库初始化失败: {e}")
 
+    # 启动数据库监控
+    try:
+        start_monitoring()
+        logger.info("数据库连接池监控已启动")
+
+        # 记录初始连接池状态
+        pool_stats = get_pool_status()
+        logger.info(f"初始连接池状态: {pool_stats}")
+    except Exception as e:
+        logger.error(f"数据库监控启动失败: {e}")
+
     # 启动定时任务调度器
     try:
         task_scheduler.start()
@@ -45,6 +57,14 @@ async def lifespan(app: FastAPI):
 
     # 关闭时执行
     logger.info("应用关闭中...")
+
+    # 记录最终连接池状态
+    try:
+        pool_stats = get_pool_status()
+        logger.info(f"最终连接池状态: {pool_stats}")
+    except Exception as e:
+        logger.error(f"获取最终连接池状态失败: {e}")
+
     try:
         task_scheduler.shutdown()
         logger.info("定时任务调度器已关闭")
@@ -101,11 +121,47 @@ async def health_check():
         "scheduler": "running" if task_scheduler.scheduler.running else "stopped"
     }
 
+# 数据库监控端点
+@app.get("/api/monitor/database")
+async def get_database_monitor():
+    """获取数据库连接池监控信息"""
+    from .core.db_monitor import get_monitoring_report
+    return get_monitoring_report()
+
+# 连接池状态端点
+@app.get("/api/monitor/pool")
+async def get_pool_status():
+    """获取连接池状态"""
+    from .core.db_monitor import get_pool_status
+    return get_pool_status()
+
 # 全局异常处理
 @app.exception_handler(Exception)
 async def global_exception_handler(request, exc):
-    logger.error(f"全局异常: {str(exc)}")
+    """全局异常处理"""
+    import traceback
+    from .core.db_monitor import get_pool_status
+
+    # 获取异常详情
+    error_msg = str(exc)
+    error_type = type(exc).__name__
+    stack_trace = traceback.format_exc()
+
+    # 获取当前连接池状态
+    try:
+        pool_stats = get_pool_status()
+        pool_info = f", 连接池使用率: {pool_stats.get('usage_percent', 'N/A')}%"
+    except:
+        pool_info = ""
+
+    # 记录详细错误日志
+    logger.error(
+        f"🚨 全局异常: {error_type}: {error_msg} "
+        f"请求路径: {request.url.path}, 方法: {request.method}{pool_info}\n"
+        f"堆栈跟踪:\n{stack_trace}"
+    )
+
     return HTTPException(
         status_code=500,
-        detail="服务器内部错误"
+        detail=f"服务器内部错误: {error_type}"
     )