refactor: 移除未使用的变量以简化代码逻辑

src/plugins/PFC/chat_observer.py

@@ -119,7 +119,6 @@ class ChatObserver:
         self.last_cold_chat_check = current_time
 
         # 判断是否冷场
-        is_cold = False
         if self.last_message_time is None:
             is_cold = True
         else:

src/plugins/chat_module/reasoning_chat/reasoning_generator.py

@@ -69,7 +69,6 @@ class ResponseGenerator:
             return None
 
     async def _generate_response_with_model(self, message: MessageThinking, model: LLMRequest, thinking_id: str):
-        sender_name = ""
 
         info_catcher = info_catcher_manager.get_info_catcher(thinking_id)
 

src/plugins/chat_module/reasoning_chat/reasoning_prompt_builder.py

@@ -101,16 +101,15 @@ class PromptBuilder:
         related_memory = await HippocampusManager.get_instance().get_memory_from_text(
             text=message_txt, max_memory_num=2, max_memory_length=2, max_depth=3, fast_retrieval=False
         )
+        related_memory_info = ""
         if related_memory:
-            related_memory_info = ""
             for memory in related_memory:
                 related_memory_info += memory[1]
             # memory_prompt = f"你想起你之前见过的事情：{related_memory_info}。\n以上是你的回忆，不一定是目前聊天里的人说的，也不一定是现在发生的事情，请记住。\n"
             memory_prompt = await global_prompt_manager.format_prompt(
                 "memory_prompt", related_memory_info=related_memory_info
             )
-        else:
-            related_memory_info = ""
+
 
         # print(f"相关记忆：{related_memory_info}")
 
@@ -162,7 +161,6 @@ class PromptBuilder:
 
         # 知识构建
         start_time = time.time()
-        prompt_info = ""
         prompt_info = await self.get_prompt_info(message_txt, threshold=0.38)
         if prompt_info:
             # prompt_info = f"""\n你有以下这些**知识**：\n{prompt_info}\n请你**记住上面的知识**，之后可能会用到。\n"""