better: 优化模型配置和mood

src/chat/heart_flow/heartflow_message_processor.py

@@ -72,16 +72,15 @@ class HeartFCMessageReceiver:
             chat = message.chat_stream
 
             # 2. 兴趣度计算与更新
-            interested_rate, keywords = await _calculate_interest(message)
+            _, keywords = await _calculate_interest(message)
 
             await self.storage.store_message(message, chat)
 
             heartflow_chat: HeartFChatting = await heartflow.get_or_create_heartflow_chat(chat.stream_id)  # type: ignore
 
-            # subheartflow.add_message_to_normal_chat_cache(message, interested_rate, is_mentioned)
             if global_config.mood.enable_mood:
                 chat_mood = mood_manager.get_mood_by_chat_id(heartflow_chat.stream_id)
-                asyncio.create_task(chat_mood.update_mood_by_message(message, interested_rate))
+                asyncio.create_task(chat_mood.update_mood_by_message(message))
 
             # 3. 日志记录
             mes_name = chat.group_info.group_name if chat.group_info else "私聊"
@@ -109,7 +108,7 @@ class HeartFCMessageReceiver:
                 replace_bot_name=True,
             )
 
-            logger.info(f"[{mes_name}]{userinfo.user_nickname}:{processed_plain_text}[{interested_rate:.2f}]")  # type: ignore
+            logger.info(f"[{mes_name}]{userinfo.user_nickname}:{processed_plain_text}")  # type: ignore
 
             _ = Person.register_person(
                 platform=message.message_info.platform,  # type: ignore

src/config/api_ada_configs.py

@@ -102,9 +102,6 @@ class ModelTaskConfig(ConfigBase):
     replyer: TaskConfig
     """normal_chat首要回复模型模型配置"""
 
-    emotion: TaskConfig
-    """情绪模型配置"""
-
     vlm: TaskConfig
     """视觉语言模型配置"""
 

src/mood/mood_manager.py

@@ -62,11 +62,11 @@ class ChatMood:
 
         self.regression_count: int = 0
 
-        self.mood_model = LLMRequest(model_set=model_config.model_task_config.emotion, request_type="mood")
+        self.mood_model = LLMRequest(model_set=model_config.model_task_config.utils, request_type="mood")
 
         self.last_change_time: float = 0
 
-    async def update_mood_by_message(self, message: MessageRecv, interested_rate: float):
+    async def update_mood_by_message(self, message: MessageRecv):
         self.regression_count = 0
 
         during_last_time = message.message_info.time - self.last_change_time  # type: ignore
@@ -74,10 +74,9 @@ class ChatMood:
         base_probability = 0.05
         time_multiplier = 4 * (1 - math.exp(-0.01 * during_last_time))
 
-        if interested_rate <= 0:
-            interest_multiplier = 0
-        else:
-            interest_multiplier = 2 * math.pow(interested_rate, 0.25)
+        # 基于消息长度计算基础兴趣度
+        message_length = len(message.message_content.content or "")
+        interest_multiplier = min(2.0, 1.0 + message_length / 100)
 
         logger.debug(
             f"base_probability: {base_probability}, time_multiplier: {time_multiplier}, interest_multiplier: {interest_multiplier}"
@@ -90,7 +89,7 @@ class ChatMood:
             return
 
         logger.debug(
-            f"{self.log_prefix} 更新情绪状态，感兴趣度: {interested_rate:.2f}, 更新概率: {update_probability:.2f}"
+            f"{self.log_prefix} 更新情绪状态，更新概率: {update_probability:.2f}"
         )
 
         message_time: float = message.message_info.time  # type: ignore