Ruff fix

src/chat/heart_flow/heartFC_chat.py

@@ -333,7 +333,6 @@ class HeartFChatting:
             # 重置连续 no_reply 计数
             self.consecutive_no_reply_count = 0
             reason = ""
-            
 
             await database_api.store_action_info(
                 chat_stream=self.chat_stream,

src/chat/knowledge/__init__.py

@@ -30,9 +30,11 @@ DATA_PATH = os.path.join(ROOT_PATH, "data")
 qa_manager = None
 inspire_manager = None
 
+
 def get_qa_manager():
     return qa_manager
 
+
 def lpmm_start_up():  # sourcery skip: extract-duplicate-method
     # 检查LPMM知识库是否启用
     if global_config.lpmm_knowledge.enable:

src/chat/knowledge/qa_manager.py

@@ -128,11 +128,10 @@ class QAManager:
             selected_knowledge = knowledge[:limit]
 
             formatted_knowledge = [
-                f"第{i + 1}条知识：{k[0]}\n 该条知识对于问题的相关性：{k[1]}"
-                for i, k in enumerate(selected_knowledge)
+                f"第{i + 1}条知识：{k[0]}\n 该条知识对于问题的相关性：{k[1]}" for i, k in enumerate(selected_knowledge)
             ]
             # if max_score is not None:
-                # formatted_knowledge.insert(0, f"最高相关系数：{max_score}")
+            # formatted_knowledge.insert(0, f"最高相关系数：{max_score}")
 
             found_knowledge = "\n".join(formatted_knowledge)
             if len(found_knowledge) > MAX_KNOWLEDGE_LENGTH:

src/chat/replyer/group_generator.py

@@ -226,7 +226,9 @@ class DefaultReplyer:
             traceback.print_exc()
             return False, llm_response
 
-    async def build_expression_habits(self, chat_history: str, target: str, reply_reason: str = "") -> Tuple[str, List[int]]:
+    async def build_expression_habits(
+        self, chat_history: str, target: str, reply_reason: str = ""
+    ) -> Tuple[str, List[int]]:
         # sourcery skip: for-append-to-extend
         """构建表达习惯块
 
@@ -1094,10 +1096,10 @@ class DefaultReplyer:
             if not global_config.lpmm_knowledge.enable:
                 logger.debug("LPMM知识库未启用，跳过获取知识库内容")
                 return ""
-            
+
             if global_config.lpmm_knowledge.lpmm_mode == "agent":
                 return ""
-            
+
             time_now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
 
             bot_name = global_config.bot.nickname
@@ -1115,10 +1117,10 @@ class DefaultReplyer:
                 model_config=model_config.model_task_config.tool_use,
                 tool_options=[SearchKnowledgeFromLPMMTool.get_tool_definition()],
             )
-            
+
             # logger.info(f"工具调用提示词: {prompt}")
             # logger.info(f"工具调用: {tool_calls}")
-            
+
             if tool_calls:
                 result = await self.tool_executor.execute_tool_call(tool_calls[0], SearchKnowledgeFromLPMMTool())
                 end_time = time.time()

src/chat/replyer/private_generator.py

@@ -241,7 +241,9 @@ class PrivateReplyer:
 
         return f"{sender_relation}"
 
-    async def build_expression_habits(self, chat_history: str, target: str, reply_reason: str = "") -> Tuple[str, List[int]]:
+    async def build_expression_habits(
+        self, chat_history: str, target: str, reply_reason: str = ""
+    ) -> Tuple[str, List[int]]:
         # sourcery skip: for-append-to-extend
         """构建表达习惯块
 
@@ -1032,10 +1034,10 @@ class PrivateReplyer:
             if not global_config.lpmm_knowledge.enable:
                 logger.debug("LPMM知识库未启用，跳过获取知识库内容")
                 return ""
-            
+
             if global_config.lpmm_knowledge.lpmm_mode == "agent":
                 return ""
-            
+
             time_now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
 
             bot_name = global_config.bot.nickname

src/chat/utils/chat_history_summarizer.py

@@ -106,7 +106,7 @@ class ChatHistorySummarizer:
                     await self._check_and_package(current_time)
                 self.last_check_time = current_time
                 return
-            
+
             logger.info(
                 f"{self.log_prefix} 开始处理聊天概括，时间窗口: {self.last_check_time:.2f} -> {current_time:.2f}"
             )