加入装饰器，进行指令数据统计

plugins/stats_collector/decorators.py

@@ -1,6 +1,7 @@
 import functools
 import time
 import traceback
+import logging
 from datetime import datetime
 from typing import Callable, Dict, Any, Tuple
 
@@ -17,10 +18,18 @@ def plugin_stats_decorator(plugin_name: str) -> Callable:
     Returns:
         装饰器函数
     """
+    # 获取日志记录器
+    logger = logging.getLogger(f"StatsCollector.{plugin_name}")
+    logger.info(f"为插件 '{plugin_name}' 应用统计装饰器")
+    
     def decorator(func: Callable) -> Callable:
+        logger.info(f"装饰 '{plugin_name}' 的 {func.__name__} 方法")
+        
         @functools.wraps(func)
         def wrapper(self, message: Dict[str, Any]) -> Tuple[bool, str]:
             # 获取数据库连接
+            try:
+                logger.debug(f"[{plugin_name}] 开始处理消息")
                 db_manager = DBConnectionManager.get_instance()
                 stats_db = StatsDBOperator(db_manager)
                 
@@ -29,17 +38,24 @@ def plugin_stats_decorator(plugin_name: str) -> Callable:
                 sender = message.get("sender", "")
                 roomid = message.get("roomid", "")
                 
+                logger.debug(f"[{plugin_name}] 消息内容: '{content}', 发送者: {sender}, 群ID: {roomid}")
+                
                 # 记录开始时间
                 start_time = time.time()
+                logger.debug(f"[{plugin_name}] 开始执行时间: {datetime.fromtimestamp(start_time).strftime('%Y-%m-%d %H:%M:%S.%f')}")
                 
                 try:
                     # 调用原始方法
+                    logger.debug(f"[{plugin_name}] 调用原始方法 {func.__name__}")
                     success, response = func(self, message)
                     
                     # 计算执行时间(毫秒)
-                process_time_ms = (time.time() - start_time) * 1000
+                    end_time = time.time()
+                    process_time_ms = (end_time - start_time) * 1000
+                    logger.debug(f"[{plugin_name}] 执行完成，耗时: {process_time_ms:.2f}ms, 结果: {success}, 响应: {response}")
                     
                     # 记录插件调用
+                    logger.debug(f"[{plugin_name}] 记录插件调用统计")
                     stats_db.record_plugin_call(
                         plugin_name=plugin_name,
                         command=content,
@@ -48,18 +64,23 @@ def plugin_stats_decorator(plugin_name: str) -> Callable:
                         success=success,
                         process_time_ms=process_time_ms
                     )
+                    logger.info(f"[{plugin_name}] 成功记录插件调用: {content}, 耗时: {process_time_ms:.2f}ms")
                     
                     return success, response
                 except Exception as e:
                     # 计算执行时间(毫秒)
-                process_time_ms = (time.time() - start_time) * 1000
+                    end_time = time.time()
+                    process_time_ms = (end_time - start_time) * 1000
                     
                     # 记录错误
                     error_message = str(e)
                     stack_trace = traceback.format_exc()
+                    logger.error(f"[{plugin_name}] 执行出错: {error_message}")
+                    logger.debug(f"[{plugin_name}] 错误堆栈: {stack_trace}")
                     
                     try:
                         # 记录插件调用（失败）
+                        logger.debug(f"[{plugin_name}] 记录插件调用失败统计")
                         stats_db.record_plugin_call(
                             plugin_name=plugin_name,
                             command=content,
@@ -70,6 +91,7 @@ def plugin_stats_decorator(plugin_name: str) -> Callable:
                         )
                         
                         # 记录错误详情
+                        logger.debug(f"[{plugin_name}] 记录错误详情")
                         stats_db.record_error(
                             plugin_name=plugin_name,
                             command=content,
@@ -78,11 +100,17 @@ def plugin_stats_decorator(plugin_name: str) -> Callable:
                             error_message=error_message,
                             stack_trace=stack_trace
                         )
+                        logger.info(f"[{plugin_name}] 成功记录插件错误: {content}, 错误: {error_message}")
                     except Exception as db_error:
-                    print(f"记录插件统计数据失败: {db_error}")
+                        logger.error(f"[{plugin_name}] 记录插件统计数据失败: {db_error}")
                     
                     # 重新抛出异常，让上层处理
                     raise
+            except Exception as outer_error:
+                logger.error(f"[{plugin_name}] 装饰器外层错误: {outer_error}")
+                logger.error(traceback.format_exc())
+                # 确保原始函数仍然被调用，即使装饰器出错
+                return func(self, message)
         
         return wrapper