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"想要表达：{in_mind_reply}||理由：{reason}")
-                    logger.info(f"理由：{reason}")
+                    logger.info(f"最终回复: {content}\n")
-                    logger.info(f"生成回复: {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(
+            logger.debug(
-                f"{self.log_prefix} 麦麦决定'{action}', 原因'{reasoning}'，返回结果'{success}', '{reply_text}', '{command}'"
+                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)

src/common/logger.py

@@ -230,17 +230,32 @@ NORMAL_CHAT_RESPONSE_STYLE_CONFIG = {
         "console_format": (
             "<white>{time:YYYY-MM-DD HH:mm:ss}</white> | "
             "<level>{level: <8}</level> | "
-            "<light-yellow>普通聊天回复</light-yellow> | "
+            "<light-yellow>普通水群回复</light-yellow> | "
             "<level>{message}</level>"
         ),
-        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 普通聊天回复 | {message}",
+        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 普通水群回复 | {message}",
     },
     "simple": {
-        "console_format": "<level>{time:HH:mm:ss}</level> | <light-green>普通聊天回复</light-green> | {message}",
+        "console_format": "<level>{time:HH:mm:ss}</level> | <light-green>普通水群回复</light-green> | {message}",
-        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 普通聊天回复 | {message}",
+        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 普通水群回复 | {message}",
     },
 }
 
+EXPRESS_STYLE_CONFIG = {
+    "advanced": {
+        "console_format": (
+            "<white>{time:YYYY-MM-DD HH:mm:ss}</white> | "
+            "<level>{level: <8}</level> | "
+            "<light-yellow>麦麦表达</light-yellow> | "
+            "<level>{message}</level>"
+        ),
+        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 麦麦表达 | {message}",
+    },
+    "simple": {
+        "console_format": "<level>{time:HH:mm:ss}</level> | <fg #E595FF>麦麦表达</fg #E595FF> | {message}",
+        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 麦麦表达 | {message}",
+    },
+}
 
 # Topic日志样式配置
 TOPIC_STYLE_CONFIG = {
@@ -975,7 +990,7 @@ INTEREST_CHAT_STYLE_CONFIG = (
 )
 NORMAL_CHAT_STYLE_CONFIG = NORMAL_CHAT_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else NORMAL_CHAT_STYLE_CONFIG["advanced"]
 FOCUS_CHAT_STYLE_CONFIG = FOCUS_CHAT_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else FOCUS_CHAT_STYLE_CONFIG["advanced"]
-
+EXPRESS_STYLE_CONFIG = EXPRESS_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else EXPRESS_STYLE_CONFIG["advanced"]
 
 def is_registered_module(record: dict) -> bool:
     """检查是否为已注册的模块"""

src/common/logger_manager.py

@@ -47,6 +47,7 @@ from src.common.logger import (
     INTEREST_CHAT_STYLE_CONFIG,
     API_SERVER_STYLE_CONFIG,
     NORMAL_CHAT_RESPONSE_STYLE_CONFIG,
+    EXPRESS_STYLE_CONFIG,
 )
 
 # 可根据实际需要补充更多模块配置
@@ -98,6 +99,7 @@ MODULE_LOGGER_CONFIGS = {
     "api": API_SERVER_STYLE_CONFIG,  # API服务器
     "normal_chat": NORMAL_CHAT_STYLE_CONFIG,  # 一般水群
     "focus_chat": FOCUS_CHAT_STYLE_CONFIG,  # 专注水群
+    "expressor": EXPRESS_STYLE_CONFIG,  # 麦麦表达
     # ...如有更多模块，继续添加...
 }
 

src/main.py

@@ -142,29 +142,29 @@ class MainSystem:
         """记忆遗忘任务"""
         while True:
             await asyncio.sleep(global_config.memory.forget_memory_interval)
-            print("\033[1;32m[记忆遗忘]\033[0m 开始遗忘记忆...")
+            logger.info("[记忆遗忘] 开始遗忘记忆...")
             await HippocampusManager.get_instance().forget_memory(
                 percentage=global_config.memory.memory_forget_percentage
             )
-            print("\033[1;32m[记忆遗忘]\033[0m 记忆遗忘完成")
+            logger.info("[记忆遗忘] 记忆遗忘完成")
 
     @staticmethod
     async def consolidate_memory_task():
         """记忆整合任务"""
         while True:
             await asyncio.sleep(global_config.memory.consolidate_memory_interval)
-            print("\033[1;32m[记忆整合]\033[0m 开始整合记忆...")
+            logger.info("[记忆整合] 开始整合记忆...")
             await HippocampusManager.get_instance().consolidate_memory()
-            print("\033[1;32m[记忆整合]\033[0m 记忆整合完成")
+            logger.info("[记忆整合] 记忆整合完成")
 
     @staticmethod
     async def learn_and_store_expression_task():
         """学习并存储表达方式任务"""
         while True:
             await asyncio.sleep(global_config.expression.learning_interval)
-            print("\033[1;32m[表达方式学习]\033[0m 开始学习表达方式...")
+            logger.info("[表达方式学习] 开始学习表达方式...")
             await expression_learner.learn_and_store_expression()
-            print("\033[1;32m[表达方式学习]\033[0m 表达方式学习完成")
+            logger.info("[表达方式学习] 表达方式学习完成")
 
     # async def print_mood_task(self):
     #     """打印情绪状态"""