适配重构后的情绪管理器

src/plugins/PFC/conversation.py

@@ -138,9 +138,6 @@ class Conversation:
             logger.debug(f"[私聊][{self.private_name}] 已减少IdleChat活跃实例计数")
         if self.observation_info and self.chat_observer:  # 确保二者都存在
             self.observation_info.unbind_from_chat_observer()  # 解绑
-        if self.mood_mng and hasattr(self.mood_mng, "stop_mood_update") and self.mood_mng._running:  # type: ignore
-            self.mood_mng.stop_mood_update()  # type: ignore
-            logger.debug(f"[私聊][{self.private_name}] MoodManager 后台更新已停止。")
 
         self._initialized = False  # 标记为未初始化
         logger.info(f"[私聊][{self.private_name}] 对话实例 {self.stream_id} 已停止。")

src/plugins/PFC/conversation_initializer.py

@@ -249,22 +249,6 @@ async def initialize_core_components(conversation_instance: "Conversation"):
             # 不需要再次启动，只需确保已初始化
             logger.debug(f"[私聊][{conversation_instance.private_name}] (Initializer) IdleChat实例已初始化")
 
-        if (
-            conversation_instance.mood_mng
-            and hasattr(conversation_instance.mood_mng, "start_mood_update")
-            and not conversation_instance.mood_mng._running
-        ):  # type: ignore
-            conversation_instance.mood_mng.start_mood_update(update_interval=global_config.mood_update_interval)  # type: ignore
-            logger.debug(
-                f"[私聊][{conversation_instance.private_name}] (Initializer) MoodManager 已启动后台更新，间隔: {global_config.mood_update_interval} 秒。"
-            )
-        elif conversation_instance.mood_mng and conversation_instance.mood_mng._running:  # type: ignore
-            logger.debug(f"[私聊][{conversation_instance.private_name}] (Initializer) MoodManager 已在运行中。")
-        else:
-            logger.warning(
-                f"[私聊][{conversation_instance.private_name}] (Initializer) MoodManager 未能启动，相关功能可能受限。"
-            )
-
         if (
             conversation_instance.conversation_info
             and conversation_instance.conversation_info.person_id
@@ -299,7 +283,7 @@ async def initialize_core_components(conversation_instance: "Conversation"):
         if conversation_instance.conversation_info and conversation_instance.mood_mng:  # 确保都存在
             try:
                 conversation_instance.conversation_info.current_emotion_text = (
-                    conversation_instance.mood_mng.get_prompt()
+                    conversation_instance.mood_mng.get_mood_prompt()
                 )  # type: ignore
                 logger.debug(
                     f"[私聊][{conversation_instance.private_name}] (Initializer) 初始化时加载情绪文本: {conversation_instance.conversation_info.current_emotion_text}"

src/plugins/PFC/conversation_loop.py

@@ -118,7 +118,7 @@ async def run_conversation_loop(conversation_instance: "Conversation"):
                         conversation_instance.conversation_info.relationship_text = "你们的关系是：普通。"
                 if conversation_instance.mood_mng:
                     conversation_instance.conversation_info.current_emotion_text = (
-                        conversation_instance.mood_mng.get_prompt()
+                        conversation_instance.mood_mng.get_mood_prompt()
                     )
 
             if not all(

src/plugins/PFC/pfc_emotion.py

@@ -51,7 +51,7 @@ class PfcEmotionUpdater:
             logger.error(f"[私聊][{self.private_name}] LLM未初始化，无法进行情绪更新。")
             # 即使LLM失败，也应该更新conversation_info中的情绪文本为MoodManager的当前状态
             if conversation_info and self.mood_mng:
-                conversation_info.current_emotion_text = self.mood_mng.get_prompt()
+                conversation_info.current_emotion_text = self.mood_mng.get_mood_prompt()
             return
 
         if not self.mood_mng or not conversation_info or not observation_info:
@@ -97,7 +97,7 @@ class PfcEmotionUpdater:
             if (
                 detected_emotion_word
                 and detected_emotion_word != "无变化"
-                and detected_emotion_word in self.mood_mng.emotion_map
+                and detected_emotion_word in self.mood_mng.EMOTION_FACTOR_MAP
             ):
                 self.mood_mng.update_mood_from_emotion(detected_emotion_word, intensity=self.EMOTION_UPDATE_INTENSITY)
                 logger.debug(
@@ -114,4 +114,4 @@ class PfcEmotionUpdater:
 
         # 无论LLM判断如何，都更新conversation_info中的情绪文本以供Prompt使用
         if conversation_info and self.mood_mng:  # 确保conversation_info有效
-            conversation_info.current_emotion_text = self.mood_mng.get_prompt()
+            conversation_info.current_emotion_text = self.mood_mng.get_mood_prompt()