better：继续优化

src/chat/focus_chat/expressors/default_expressor.py

@@ -234,9 +234,8 @@ class DefaultExpressor:
 
                     # logger.info(f"{self.log_prefix}\nPrompt:\n{prompt}\n---------------------------\n")
 
-                    logger.info(f"想要表达：{in_mind_reply}")
-                    logger.info(f"理由：{reason}")
-                    logger.info(f"生成回复: {content}\n")
+                    logger.info(f"想要表达：{in_mind_reply}||理由：{reason}")
+                    logger.info(f"最终回复: {content}\n")
 
                 info_catcher.catch_after_llm_generated(
                     prompt=prompt, response=content, reasoning_content=reasoning_content, model_name=model_name

src/chat/focus_chat/heartFC_chat.py

@@ -54,7 +54,7 @@ CONSECUTIVE_NO_REPLY_THRESHOLD = 3  # 连续不回复的阈值
 logger = get_logger("hfc")  # Logger Name Changed
 
 # 设定处理器超时时间（秒）
-PROCESSOR_TIMEOUT = 20
+PROCESSOR_TIMEOUT = 40
 
 
 async def _handle_cycle_delay(action_taken_this_cycle: bool, cycle_start_time: float, log_prefix: str):
@@ -407,14 +407,14 @@ class HeartFChatting:
                     # 使用 await task 来获取结果或触发异常
                     result_list = await task
                     logger.info(
-                        f"{self.log_prefix} 处理器 {processor_name} 已完成，信息已处理: {duration_since_parallel_start:.2f}秒"
+                        f"{self.log_prefix} 处理器 {processor_name} 已完成!"
                     )
                     if result_list is not None:
                         all_plan_info.extend(result_list)
                     else:
                         logger.warning(f"{self.log_prefix} 处理器 {processor_name} 返回了 None")
                 except asyncio.TimeoutError:
-                    logger.error(f"{self.log_prefix} 处理器 {processor_name} 超时（>{PROCESSOR_TIMEOUT}s），已跳过")
+                    logger.info(f"{self.log_prefix} 处理器 {processor_name} 超时（>{PROCESSOR_TIMEOUT}s），已跳过")
                 except Exception as e:
                     logger.error(
                         f"{self.log_prefix} 处理器 {processor_name} 执行失败，耗时 (自并行开始): {duration_since_parallel_start:.2f}秒. 错误: {e}",
@@ -493,7 +493,7 @@ class HeartFChatting:
                 else:
                     action_str = action_type
 
-                logger.info(f"{self.log_prefix} 麦麦决定'{action_str}', 原因'{reasoning}'")
+                logger.debug(f"{self.log_prefix} 麦麦想要：'{action_str}', 原因'{reasoning}'")
 
                 success, reply_text, command = await self._handle_action(
                     action_type, reasoning, action_data, cycle_timers, thinking_id
@@ -576,8 +576,8 @@ class HeartFChatting:
             else:
                 success, reply_text = result
                 command = ""
-            logger.info(
-                f"{self.log_prefix} 麦麦决定'{action}', 原因'{reasoning}'，返回结果'{success}', '{reply_text}', '{command}'"
+            logger.debug(
+                f"{self.log_prefix} 麦麦执行了'{action}', 原因'{reasoning}'，返回结果'{success}', '{reply_text}', '{command}'"
             )
             return success, reply_text, command
 

src/chat/focus_chat/info_processors/mind_processor.py

@@ -227,7 +227,7 @@ class MindProcessor(BaseProcessor):
 
         # 记录初步思考结果
         logger.debug(f"{self.log_prefix} 思考prompt: \n{prompt}\n")
-        logger.info(f"{self.log_prefix} 思考结果: {content}")
+        logger.info(f"{self.log_prefix} 聊天规划: {content}")
         self.update_current_mind(content)
 
         return content

src/chat/focus_chat/info_processors/self_processor.py

@@ -186,7 +186,7 @@ class SelfProcessor(BaseProcessor):
             content = ""
         # 记录初步思考结果
         logger.debug(f"{self.log_prefix} 自我识别prompt: \n{prompt}\n")
-        logger.info(f"{self.log_prefix} 自我识别结果: {content}")
+        logger.info(f"{self.log_prefix} 自我认知: {content}")
 
         return content
 

src/chat/focus_chat/info_processors/working_memory_processor.py

@@ -93,7 +93,7 @@ class WorkingMemoryProcessor(BaseProcessor):
                     # chat_info_truncate = observation.talking_message_str_truncate
 
             if not working_memory:
-                logger.warning(f"{self.log_prefix} 没有找到工作记忆对象")
+                logger.debug(f"{self.log_prefix} 没有找到工作记忆对象")
                 mind_info = MindInfo()
                 return [mind_info]
         except Exception as e:
@@ -180,7 +180,7 @@ class WorkingMemoryProcessor(BaseProcessor):
             working_memory_info.add_working_memory(memory_str)
             logger.debug(f"{self.log_prefix} 取得工作记忆: {memory_str}")
         else:
-            logger.warning(f"{self.log_prefix} 没有找到工作记忆")
+            logger.debug(f"{self.log_prefix} 没有找到工作记忆")
 
         # 根据聊天内容添加新记忆
         if new_memory:

src/chat/focus_chat/planners/actions/reply_action.py

@@ -100,7 +100,8 @@ class ReplyAction(BaseAction):
             "emojis": "微笑"  # 表情关键词列表（可选）
         }
         """
-
+        logger.info(f"{self.log_prefix} 决定回复: {self.reasoning}")
+        
         # 从聊天观察获取锚定消息
         chatting_observation: ChattingObservation = next(
             obs for obs in self.observations if isinstance(obs, ChattingObservation)