feat 统一心情配置，为rewartite加入心情

src/chat/heart_flow/heartflow_message_processor.py

@@ -111,9 +111,9 @@ class HeartFCMessageReceiver:
             subheartflow: SubHeartflow = await heartflow.get_or_create_subheartflow(chat.stream_id)  # type: ignore
 
             # subheartflow.add_message_to_normal_chat_cache(message, interested_rate, is_mentioned)
-
-            chat_mood = mood_manager.get_mood_by_chat_id(subheartflow.chat_id)
-            asyncio.create_task(chat_mood.update_mood_by_message(message, interested_rate))
+            if global_config.mood.enable_mood:  
+                chat_mood = mood_manager.get_mood_by_chat_id(subheartflow.chat_id)
+                asyncio.create_task(chat_mood.update_mood_by_message(message, interested_rate))
 
             # 3. 日志记录
             mes_name = chat.group_info.group_name if chat.group_info else "私聊"

src/chat/replyer/default_generator.py

@@ -74,6 +74,7 @@ def init_prompt():
 
 你正在{chat_target_2},{reply_target_block}
 对这句话，你想表达，原句：{raw_reply},原因是：{reason}。你现在要思考怎么组织回复
+你现在的心情是：{mood_state}
 你需要使用合适的语法和句法，参考聊天内容，组织一条日常且口语化的回复。请你修改你想表达的原句，符合你的表达风格和语言习惯
 {config_expression_style}，你可以完全重组回复，保留最基本的表达含义就好，但重组后保持语意通顺。
 {keywords_reaction_prompt}
@@ -620,9 +621,12 @@ class DefaultReplyer:
         is_group_chat = bool(chat_stream.group_info)
         reply_to = reply_data.get("reply_to", "none")
         extra_info_block = reply_data.get("extra_info", "") or reply_data.get("extra_info_block", "")
-
-        chat_mood = mood_manager.get_mood_by_chat_id(chat_id)
-        mood_prompt = chat_mood.mood_state
+            
+        if global_config.mood.enable_mood:
+            chat_mood = mood_manager.get_mood_by_chat_id(chat_id)
+            mood_prompt = chat_mood.mood_state
+        else:
+            mood_prompt = ""
 
         sender, target = self._parse_reply_target(reply_to)
 
@@ -883,6 +887,13 @@ class DefaultReplyer:
         reason = reply_data.get("reason", "")
         sender, target = self._parse_reply_target(reply_to)
 
+        # 添加情绪状态获取
+        if global_config.mood.enable_mood:
+            chat_mood = mood_manager.get_mood_by_chat_id(chat_id)
+            mood_prompt = chat_mood.mood_state
+        else:
+            mood_prompt = ""
+
         message_list_before_now_half = get_raw_msg_before_timestamp_with_chat(
             chat_id=chat_id,
             timestamp=time.time(),
@@ -963,6 +974,7 @@ class DefaultReplyer:
             reply_target_block=reply_target_block,
             raw_reply=raw_reply,
             reason=reason,
+            mood_state=mood_prompt,  # 添加情绪状态参数
             config_expression_style=global_config.expression.expression_style,
             keywords_reaction_prompt=keywords_reaction_prompt,
             moderation_prompt=moderation_prompt_block,

src/config/official_configs.py

@@ -408,15 +408,9 @@ class MoodConfig(ConfigBase):
 
     enable_mood: bool = False
     """是否启用情绪系统"""
-
-    mood_update_interval: int = 1
-    """情绪更新间隔（秒）"""
-
-    mood_decay_rate: float = 0.95
-    """情绪衰减率"""
-
-    mood_intensity_factor: float = 0.7
-    """情绪强度因子"""
+    
+    mood_update_threshold: float = 1.0
+    """情绪更新阈值,越高，更新越慢"""
 
 
 @dataclass

src/mood/mood_manager.py

@@ -83,7 +83,7 @@ class ChatMood:
         logger.debug(
             f"base_probability: {base_probability}, time_multiplier: {time_multiplier}, interest_multiplier: {interest_multiplier}"
         )
-        update_probability = min(1.0, base_probability * time_multiplier * interest_multiplier)
+        update_probability = global_config.mood.mood_update_threshold * min(1.0, base_probability * time_multiplier * interest_multiplier)
 
         if random.random() > update_probability:
             return

template/bot_config_template.toml

@@ -148,9 +148,7 @@ enable_asr = false # 是否启用语音识别，启用后麦麦可以识别语
 
 [mood]
 enable_mood = true # 是否启用情绪系统
-mood_update_interval = 1.0 # 情绪更新间隔 单位秒
-mood_decay_rate = 0.95 # 情绪衰减率
-mood_intensity_factor = 1.0 # 情绪强度因子
+mood_update_threshold = 1 # 情绪更新阈值,越高，更新越慢
 
 [lpmm_knowledge] # lpmm知识库配置
 enable = false # 是否启用lpmm知识库