fix: Pipeline 处理添加耗时日志和异常捕获

- message_pipeline.handle_message 添加每步耗时日志（租户解析/会话管理/消息处理）
- feishu_longconn_service Pipeline 调用包裹 try/catch，异常时记录完整堆栈
- feishu_bot.py 同样添加 Pipeline 异常捕获
- 防止 Pipeline 内部异常被静默吞掉导致消息无回复

src/core/database.py

@@ -63,10 +63,8 @@ class DatabaseManager:
                 autoflush=False,
                 bind=self.engine
             )
-
             # 创建所有表
             Base.metadata.create_all(bind=self.engine)
-            logger.info("数据库初始化成功")
 
             # 运行 schema 迁移（处理字段变更）
             self._run_migrations()
@@ -169,7 +167,6 @@ class DatabaseManager:
             if self.engine:
                 self.engine.dispose()
             self._initialize_database()
-            logger.info("数据库重新连接成功")
             return True
         except Exception as e:
             logger.error(f"数据库重新连接失败: {e}")

src/core/session_store.py

@@ -191,7 +191,6 @@ def create_session_store() -> SessionStore:
                 socket_timeout=2
             )
             client.ping()
-            logger.info("会话存储使用 Redis")
             return RedisSessionStore(client)
     except Exception as e:
         logger.info(f"Redis 不可用（{e}），会话存储使用内存")

src/dialogue/message_pipeline.py

@@ -73,9 +73,20 @@ class MessagePipeline:
         完整的消息处理流程（一步到位）。
         各入口可以直接调用此方法，不需要自己管理会话。
         """
+        import time as _time
+        t0 = _time.time()
+
         resolved_tenant = self.resolve_tenant(chat_id=chat_id, tenant_id=tenant_id)
+        t1 = _time.time()
+
         session_id = self.get_or_create_session(user_id, resolved_tenant, work_order_id)
+        t2 = _time.time()
+
         result = self.process(session_id, message, ip_address, invocation_method)
+        t3 = _time.time()
+
+        logger.info(f"Pipeline 耗时: 租户解析={t1-t0:.2f}s, 会话管理={t2-t1:.2f}s, 消息处理={t3-t2:.2f}s, 总计={t3-t0:.2f}s")
+
         result['tenant_id'] = resolved_tenant
         result['session_id'] = session_id
         return result

src/integrations/feishu_longconn_service.py

@@ -165,14 +165,19 @@ class FeishuLongConnService:
 
             # 使用 Pipeline 统一处理消息
             session_user_id = f"feishu_{chat_id}_{sender_id}"
-            pipeline = service_manager.get_pipeline()
-            response_data = pipeline.handle_message(
-                user_id=session_user_id,
-                message=text_content,
-                chat_id=chat_id,
-                ip_address=f"feishu:{sender_id}:{sender_name}",
-                invocation_method=f"feishu_longconn({chat_type})"
-            )
+            try:
+                pipeline = service_manager.get_pipeline()
+                logger.info(f"Pipeline 开始处理: user={session_user_id}, chat_id={chat_id}")
+                response_data = pipeline.handle_message(
+                    user_id=session_user_id,
+                    message=text_content,
+                    chat_id=chat_id,
+                    ip_address=f"feishu:{sender_id}:{sender_name}",
+                    invocation_method=f"feishu_longconn({chat_type})"
+                )
+            except Exception as pipe_err:
+                logger.error(f"Pipeline 处理异常: {pipe_err}", exc_info=True)
+                response_data = {"success": False, "error": str(pipe_err)}
             tenant_id = response_data.get('tenant_id', 'default')
             logger.info(f"处理结果: success={response_data.get('success')}, 租户={tenant_id}")
 

src/web/blueprints/feishu_bot.py

@@ -119,15 +119,20 @@ def _process_message_in_background(app, event_data: dict):
             logger.info(f"[Feishu Bot] 发送者={sender_name}({sender_id}), 群={chat_id}, 租户={tenant_id}")
 
             # 4. 使用 Pipeline 统一处理消息
-            pipeline = service_manager.get_pipeline()
-            response_data = pipeline.handle_message(
-                user_id=user_id,
-                message=text_content,
-                tenant_id=tenant_id,
-                chat_id=chat_id,
-                ip_address=f"feishu:{sender_id}:{sender_name}",
-                invocation_method=f"feishu_bot({chat_type})"
-            )
+            try:
+                pipeline = service_manager.get_pipeline()
+                logger.info(f"[Feishu Bot] Pipeline 开始处理: user={user_id}")
+                response_data = pipeline.handle_message(
+                    user_id=user_id,
+                    message=text_content,
+                    tenant_id=tenant_id,
+                    chat_id=chat_id,
+                    ip_address=f"feishu:{sender_id}:{sender_name}",
+                    invocation_method=f"feishu_bot({chat_type})"
+                )
+            except Exception as pipe_err:
+                logger.error(f"[Feishu Bot] Pipeline 处理异常: {pipe_err}", exc_info=True)
+                response_data = {"success": False, "error": str(pipe_err)}
             logger.info(f"[Feishu Bot] 处理结果: success={response_data.get('success')}")
 
             # 5. 提取回复并发送

start_dashboard.py

@@ -48,9 +48,6 @@ def start_feishu_longconn_service():
     try:
         import logging
         logger = logging.getLogger("feishu_longconn")
-        logger.info("=" * 80)
-        logger.info("🚀 启动飞书长连接服务（后台线程）")
-        logger.info("=" * 80)
 
         from src.integrations.feishu_longconn_service import get_feishu_longconn_service
         service = get_feishu_longconn_service()
@@ -76,9 +73,6 @@ def check_database_connection():
 
 def main():
     """主函数"""
-    print("=" * 60)
-    print("TSP智能助手 - 综合管理平台")
-    print("=" * 60)
     start_time = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
     print(f"启动时间: {start_time}")
     print()
@@ -91,9 +85,6 @@ def main():
         # 检查必要目录
         os.makedirs("logs", exist_ok=True)
         os.makedirs("data", exist_ok=True)
-
-        logger.info("正在启动TSP智能助手综合管理平台...")
-
         # 检查数据库连接
         if not check_database_connection():
             logger.error("数据库连接失败，退出启动")