🤖 自动格式化代码 [skip ci]

src/chat/focus_chat/heartFC_chat.py

@@ -28,7 +28,6 @@ from src.chat.focus_chat.planners.action_manager import ActionManager
 from src.config.config import global_config
 from src.chat.focus_chat.hfc_performance_logger import HFCPerformanceLogger
 from src.chat.focus_chat.hfc_version_manager import get_hfc_version
-from src.chat.focus_chat.info.structured_info import StructuredInfo
 from src.person_info.relationship_builder_manager import relationship_builder_manager
 
 
@@ -218,8 +217,6 @@ class HeartFChatting:
         else:
             logger.warning(f"{self.log_prefix} 没有注册任何处理器。这可能是由于配置错误或所有处理器都被禁用了。")
 
-
-
     async def start(self):
         """检查是否需要启动主循环，如果未激活则启动。"""
         logger.debug(f"{self.log_prefix} 开始启动 HeartFChatting")
@@ -400,8 +397,6 @@ class HeartFChatting:
                         ("\n前处理器耗时: " + "; ".join(processor_time_strings)) if processor_time_strings else ""
                     )
 
-
-
                     logger.info(
                         f"{self.log_prefix} 第{self._current_cycle_detail.cycle_id}次思考,"
                         f"耗时: {self._current_cycle_detail.end_time - self._current_cycle_detail.start_time:.1f}秒, "
@@ -560,8 +555,6 @@ class HeartFChatting:
 
         return all_plan_info, processor_time_costs
 
-
-
     async def _observe_process_plan_action_loop(self, cycle_timers: dict, thinking_id: str) -> dict:
         try:
             loop_start_time = time.time()

src/chat/replyer/default_generator.py

@@ -157,20 +157,13 @@ class DefaultReplyer:
             fallback_config = global_config.model.replyer_1.copy()
             fallback_config.setdefault("weight", 1.0)
             self.express_model_configs = [fallback_config]
-            
+
         self.chat_stream = chat_stream
         self.is_group_chat, self.chat_target_info = get_chat_type_and_target_info(self.chat_stream.stream_id)
-        
+
         self.heart_fc_sender = HeartFCSender()
         self.memory_activator = MemoryActivator()
-        self.tool_executor = ToolExecutor(
-            chat_id=self.chat_stream.stream_id,
-            enable_cache=True,
-            cache_ttl=3
-        )
-
-        
-        
+        self.tool_executor = ToolExecutor(chat_id=self.chat_stream.stream_id, enable_cache=True, cache_ttl=3)
 
     def _select_weighted_model_config(self) -> Dict[str, Any]:
         """使用加权随机选择来挑选一个模型配置"""
@@ -405,48 +398,45 @@ class DefaultReplyer:
 
     async def build_tool_info(self, reply_data=None, chat_history=None):
         """构建工具信息块
-        
+
         Args:
             reply_data: 回复数据，包含要回复的消息内容
             chat_history: 聊天历史
-            
+
         Returns:
             str: 工具信息字符串
         """
         if not reply_data:
             return ""
-        
+
         reply_to = reply_data.get("reply_to", "")
         sender, text = self._parse_reply_target(reply_to)
-        
+
         if not text:
             return ""
-        
+
         try:
             # 使用工具执行器获取信息
             tool_results = await self.tool_executor.execute_from_chat_message(
-                sender = sender,
-                target_message=text,
-                chat_history=chat_history,
-                return_details=False
+                sender=sender, target_message=text, chat_history=chat_history, return_details=False
             )
-            
+
             if tool_results:
                 tool_info_str = "以下是你通过工具获取到的实时信息：\n"
                 for tool_result in tool_results:
                     tool_name = tool_result.get("tool_name", "unknown")
                     content = tool_result.get("content", "")
                     result_type = tool_result.get("type", "info")
-                    
+
                     tool_info_str += f"- 【{tool_name}】{result_type}: {content}\n"
-                
+
                 tool_info_str += "以上是你获取到的实时信息，请在回复时参考这些信息。"
                 logger.info(f"{self.log_prefix} 获取到 {len(tool_results)} 个工具结果")
                 return tool_info_str
             else:
                 logger.debug(f"{self.log_prefix} 未获取到任何工具结果")
                 return ""
-                
+
         except Exception as e:
             logger.error(f"{self.log_prefix} 工具信息获取失败: {e}")
             return ""