feat: 添加回复情绪对好感度的影响，修改用户显示名字为群昵称

src/plugins/chat/llm_generator.py

@@ -72,7 +72,12 @@ class LLMResponseGenerator:
         
         if model_response:
             print(f"为 '{model_response}' 获取到的情感标签为：{emotion}")
-        
+            valuedict={
+                'happy':0.5,'angry':-1,'sad':-0.5,'surprised':0.5,'disgusted':-1.5,'fearful':-0.25,'neutral':0.25
+            }
+            await relationship_manager.update_relationship_value(message.user_id, relationship_value=valuedict[emotion[0]])
+
+
         return model_response, emotion
 
     async def _generate_base_response(
@@ -82,6 +87,8 @@ class LLMResponseGenerator:
         model_params: Optional[Dict[str, Any]] = None
     ) -> Optional[str]:
         sender_name = message.user_nickname or f"用户{message.user_id}"
+        if message.user_cardname:
+            sender_name=f"[({message.user_id}){message.user_nickname}]{message.user_cardname}"
         
         # 获取关系值
         if relationship_manager.get_relationship(message.user_id):
@@ -247,6 +254,8 @@ class LLMResponseGenerator:
         for msg_dict in messages_list:
             time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(msg_dict['time']))
             display_name = msg_dict.get('user_nickname', f"用户{msg_dict['user_id']}")
+            cardname = msg_dict.get('user_cardname', f"用户{msg_dict['user_id']}")
+            display_name = f"[({msg_dict['user_id']}){display_name}]{cardname}"
             content = msg_dict.get('processed_plain_text', msg_dict['plain_text'])
             
             group_chat += f"[{time_str}] {display_name}: {content}\n"