ruff，私聊视为提及了bot

src/chat/planner_actions/action_manager.py

@@ -165,10 +165,15 @@ class ActionManager:
             # 通过chat_id获取chat_stream
             chat_manager = get_chat_manager()
             chat_stream = chat_manager.get_stream(chat_id)
-            
+
             if not chat_stream:
                 logger.error(f"{log_prefix} 无法找到chat_id对应的chat_stream: {chat_id}")
-                return {"action_type": action_name, "success": False, "reply_text": "", "error": "chat_stream not found"}
+                return {
+                    "action_type": action_name,
+                    "success": False,
+                    "reply_text": "",
+                    "error": "chat_stream not found",
+                }
 
             if action_name == "no_action":
                 return {"action_type": "no_action", "success": True, "reply_text": "", "command": ""}
@@ -177,7 +182,7 @@ class ActionManager:
                 # 直接处理no_reply逻辑，不再通过动作系统
                 reason = reasoning or "选择不回复"
                 logger.info(f"{log_prefix} 选择不回复，原因: {reason}")
-                
+
                 # 存储no_reply信息到数据库
                 await database_api.store_action_info(
                     chat_stream=chat_stream,
@@ -396,7 +401,7 @@ class ActionManager:
         }
 
         return loop_info, reply_text, cycle_timers
-    
+
     async def send_response(self, chat_stream, reply_set, thinking_start_time, message_data) -> str:
         """
         发送回复内容的具体实现
@@ -471,4 +476,4 @@ class ActionManager:
                     typing=True,
                 )
 
-        return reply_text
+        return reply_text

src/chat/planner_actions/plan_generator.py

@@ -1,6 +1,7 @@
 """
 PlanGenerator: 负责搜集和汇总所有决策所需的信息，生成一个未经筛选的“原始计划” (Plan)。
 """
+
 import time
 from typing import Dict
 
@@ -35,6 +36,7 @@ class PlanGenerator:
             chat_id (str): 当前聊天的 ID。
         """
         from src.chat.planner_actions.action_manager import ActionManager
+
         self.chat_id = chat_id
         # 注意：ActionManager 可能需要根据实际情况初始化
         self.action_manager = ActionManager()
@@ -52,7 +54,7 @@ class PlanGenerator:
             Plan: 一个填充了初始上下文信息的 Plan 对象。
         """
         _is_group_chat, chat_target_info_dict = get_chat_type_and_target_info(self.chat_id)
-        
+
         target_info = None
         if chat_target_info_dict:
             target_info = TargetPersonInfo(**chat_target_info_dict)
@@ -65,7 +67,6 @@ class PlanGenerator:
         )
         chat_history = [DatabaseMessages(**msg) for msg in chat_history_raw]
 
-
         plan = Plan(
             chat_id=self.chat_id,
             mode=mode,
@@ -86,10 +87,10 @@ class PlanGenerator:
             Dict[str, "ActionInfo"]: 一个字典，键是动作名称，值是 ActionInfo 对象。
         """
         current_available_actions_dict = self.action_manager.get_using_actions()
-        all_registered_actions: Dict[str, ActionInfo] = component_registry.get_components_by_type( # type: ignore
+        all_registered_actions: Dict[str, ActionInfo] = component_registry.get_components_by_type(  # type: ignore
             ComponentType.ACTION
         )
-        
+
         current_available_actions = {}
         for action_name in current_available_actions_dict:
             if action_name in all_registered_actions:
@@ -99,16 +100,13 @@ class PlanGenerator:
             name="reply",
             component_type=ComponentType.ACTION,
             description="系统级动作：选择回复消息的决策",
-            action_parameters={
-                "content": "回复的文本内容",
-                "reply_to_message_id": "要回复的消息ID"
-            },
+            action_parameters={"content": "回复的文本内容", "reply_to_message_id": "要回复的消息ID"},
             action_require=[
                 "你想要闲聊或者随便附和",
                 "当用户提到你或艾特你时",
                 "当需要回答用户的问题时",
                 "当你想参与对话时",
-                "当用户分享有趣的内容时"
+                "当用户分享有趣的内容时",
             ],
             activation_type=ActionActivationType.ALWAYS,
             activation_keywords=[],
@@ -131,4 +129,4 @@ class PlanGenerator:
         )
         current_available_actions["no_reply"] = no_reply_info
         current_available_actions["reply"] = reply_info
-        return current_available_actions
+        return current_available_actions

src/chat/planner_actions/planner.py

@@ -109,9 +109,7 @@ class ActionPlanner:
             self.planner_stats["failed_plans"] += 1
             return [], None
 
-    async def _enhanced_plan_flow(
-        self, mode: ChatMode, context: StreamContext
-    ) -> Tuple[List[Dict], Optional[Dict]]:
+    async def _enhanced_plan_flow(self, mode: ChatMode, context: StreamContext) -> Tuple[List[Dict], Optional[Dict]]:
         """执行增强版规划流程"""
         try:
             # 1. 生成初始 Plan
@@ -137,7 +135,9 @@ class ActionPlanner:
             # 检查兴趣度是否达到非回复动作阈值
             non_reply_action_interest_threshold = global_config.affinity_flow.non_reply_action_interest_threshold
             if score < non_reply_action_interest_threshold:
-                logger.info(f"❌ 兴趣度不足非回复动作阈值: {score:.3f} < {non_reply_action_interest_threshold:.3f}，直接返回no_action")
+                logger.info(
+                    f"❌ 兴趣度不足非回复动作阈值: {score:.3f} < {non_reply_action_interest_threshold:.3f}，直接返回no_action"
+                )
                 logger.info(f"📊 最低要求: {non_reply_action_interest_threshold:.3f}")
                 # 直接返回 no_action
                 from src.common.data_models.info_data_model import ActionPlannerInfo