🤖 自动格式化代码 [skip ci]

interest_monitor_gui.py

@@ -23,8 +23,9 @@ MAX_STREAMS_TO_DISPLAY = 15 # 最多显示多少个聊天流的折线图 (可以
 # *** 添加 Matplotlib 中文字体配置 ***
 # 尝试使用 'SimHei' 或 'Microsoft YaHei'，如果找不到，matplotlib 会回退到默认字体
 # 确保你的系统上安装了这些字体
-matplotlib.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']
-matplotlib.rcParams['axes.unicode_minus'] = False # 解决负号'-'显示为方块的问题
+matplotlib.rcParams["font.sans-serif"] = ["SimHei", "Microsoft YaHei"]
+matplotlib.rcParams["axes.unicode_minus"] = False  # 解决负号'-'显示为方块的问题
+
 
 class InterestMonitorApp:
     def __init__(self, root):
@@ -49,7 +50,7 @@ class InterestMonitorApp:
 
         # --- 第一个选项卡：所有流 ---
         self.frame_all = ttk.Frame(self.notebook, padding="5 5 5 5")
-        self.notebook.add(self.frame_all, text='所有聊天流')
+        self.notebook.add(self.frame_all, text="所有聊天流")
 
         # 状态标签
         self.status_label = tk.Label(root, text="Initializing...", anchor="w", fg="grey")
@@ -67,14 +68,16 @@ class InterestMonitorApp:
 
         # --- 第二个选项卡：单个流 ---
         self.frame_single = ttk.Frame(self.notebook, padding="5 5 5 5")
-        self.notebook.add(self.frame_single, text='单个聊天流详情')
+        self.notebook.add(self.frame_single, text="单个聊天流详情")
 
         # 单个流选项卡的上部控制区域
         self.control_frame_single = ttk.Frame(self.frame_single)
         self.control_frame_single.pack(side=tk.TOP, fill=tk.X, pady=5)
 
         ttk.Label(self.control_frame_single, text="选择聊天流:").pack(side=tk.LEFT, padx=(0, 5))
-        self.stream_selector = ttk.Combobox(self.control_frame_single, textvariable=self.selected_stream_id, state="readonly", width=50)
+        self.stream_selector = ttk.Combobox(
+            self.control_frame_single, textvariable=self.selected_stream_id, state="readonly", width=50
+        )
         self.stream_selector.pack(side=tk.LEFT, fill=tk.X, expand=True)
         self.stream_selector.bind("<<ComboboxSelected>>", self.on_stream_selected)
 
@@ -82,7 +85,9 @@ class InterestMonitorApp:
         self.fig_single = Figure(figsize=(5, 4), dpi=100)
         # 修改：创建两个子图，一个显示兴趣度，一个显示概率
         self.ax_single_interest = self.fig_single.add_subplot(211)  # 2行1列的第1个
-        self.ax_single_probability = self.fig_single.add_subplot(212, sharex=self.ax_single_interest) # 2行1列的第2个，共享X轴
+        self.ax_single_probability = self.fig_single.add_subplot(
+            212, sharex=self.ax_single_interest
+        )  # 2行1列的第2个，共享X轴
 
         # 创建 Tkinter 画布嵌入 Matplotlib 图表 (用于第二个选项卡)
         self.canvas_single = FigureCanvasTkAgg(self.fig_single, master=self.frame_single)  # <--- 放入 frame_single
@@ -118,7 +123,7 @@ class InterestMonitorApp:
         time_threshold = current_time - (15 * 60)  # 30 minutes in seconds
 
         try:
-            with open(LOG_FILE_PATH, 'r', encoding='utf-8') as f:
+            with open(LOG_FILE_PATH, "r", encoding="utf-8") as f:
                 for line in f:
                     read_count += 1
                     try:
@@ -131,7 +136,9 @@ class InterestMonitorApp:
 
                         stream_id = log_entry.get("stream_id")
                         interest_level = log_entry.get("interest_level")
-                        group_name = log_entry.get("group_name", stream_id) # *** Get group_name, fallback to stream_id ***
+                        group_name = log_entry.get(
+                            "group_name", stream_id
+                        )  # *** Get group_name, fallback to stream_id ***
                         reply_probability = log_entry.get("reply_probability")  # <--- 获取概率值
 
                         # *** Check other required fields AFTER time filtering ***
@@ -192,12 +199,16 @@ class InterestMonitorApp:
         """更新单个流选项卡中的 Combobox 列表"""
         # 创建 (display_name, stream_id) 对的列表，按 display_name 排序
         available_streams = sorted(
-            [(name, sid) for sid, name in self.stream_display_names.items() if sid in self.stream_history and self.stream_history[sid]],
-            key=lambda item: item[0] # 按显示名称排序
+            [
+                (name, sid)
+                for sid, name in self.stream_display_names.items()
+                if sid in self.stream_history and self.stream_history[sid]
+            ],
+            key=lambda item: item[0],  # 按显示名称排序
         )
 
         # 更新 Combobox 的值 (仅显示 display_name)
-        self.stream_selector['values'] = [name for name, sid in available_streams]
+        self.stream_selector["values"] = [name for name, sid in available_streams]
 
         # 检查当前选中的 stream_id 是否仍然有效
         current_selection_name = self.selected_stream_id.get()
@@ -220,7 +231,7 @@ class InterestMonitorApp:
         self.ax.set_title("兴趣度随时间变化图 (所有活跃流)")
         self.ax.set_xlabel("时间")
         self.ax.set_ylabel("兴趣度")
-        self.ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
+        self.ax.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M:%S"))
         self.ax.grid(True)
         self.ax.set_ylim(0, 10)  # 固定 Y 轴范围 0-10
 
@@ -229,7 +240,7 @@ class InterestMonitorApp:
         active_streams = sorted(
             self.stream_history.items(),
             key=lambda item: item[1][-1][1] if item[1] else 0,  # 按最后兴趣度排序
-            reverse=True
+            reverse=True,
         )[:MAX_STREAMS_TO_DISPLAY]
 
         all_times = []  # 用于确定 X 轴范围
@@ -251,11 +262,11 @@ class InterestMonitorApp:
                     mpl_dates,
                     interests,
                     label=display_label,  # *** Use display_label ***
-                    color=self.stream_colors.get(stream_id, 'grey'), 
-                    marker='.',
+                    color=self.stream_colors.get(stream_id, "grey"),
+                    marker=".",
                     markersize=3,
-                    linestyle='-',
-                    linewidth=1 
+                    linestyle="-",
+                    linewidth=1,
                 )
             except ValueError as e:
                 print(f"Skipping plot for {stream_id} due to invalid timestamp: {e}")
@@ -277,16 +288,14 @@ class InterestMonitorApp:
             one_hour_ago = now - timedelta(hours=1)
             self.ax.set_xlim(one_hour_ago, now)
 
-
         # 添加图例
         if active_streams:
             # 调整图例位置和大小
             # 字体已通过全局 matplotlib.rcParams 设置
-             self.ax.legend(loc='upper left', bbox_to_anchor=(1.02, 1), borderaxespad=0., fontsize='x-small')
+            self.ax.legend(loc="upper left", bbox_to_anchor=(1.02, 1), borderaxespad=0.0, fontsize="x-small")
             # 调整布局，确保图例不被裁剪
             self.fig.tight_layout(rect=[0, 0, 0.85, 1])  # 右侧留出空间给图例
 
-
         self.canvas.draw()  # 重绘画布
 
     def update_single_stream_plot(self):
@@ -305,7 +314,7 @@ class InterestMonitorApp:
         self.ax_single_probability.set_ylabel("概率")
         self.ax_single_probability.grid(True)
         self.ax_single_probability.set_ylim(0, 1.05)  # 固定 Y 轴范围 0-1
-        self.ax_single_probability.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
+        self.ax_single_probability.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M:%S"))
 
         selected_name = self.selected_stream_id.get()
         selected_sid = None
@@ -329,11 +338,11 @@ class InterestMonitorApp:
                 self.ax_single_interest.plot(
                     mpl_dates,
                     interests,
-                    color=self.stream_colors.get(selected_sid, 'blue'),
-                    marker='.',
+                    color=self.stream_colors.get(selected_sid, "blue"),
+                    marker=".",
                     markersize=3,
-                    linestyle='-',
-                    linewidth=1
+                    linestyle="-",
+                    linewidth=1,
                 )
             except ValueError as e:
                 print(f"Skipping interest plot for {selected_sid} due to invalid timestamp: {e}")
@@ -349,11 +358,11 @@ class InterestMonitorApp:
                 self.ax_single_probability.plot(
                     prob_mpl_dates,
                     probabilities,
-                    color=self.stream_colors.get(selected_sid, 'green'), # 可以用不同颜色
-                    marker='.',
+                    color=self.stream_colors.get(selected_sid, "green"),  # 可以用不同颜色
+                    marker=".",
                     markersize=3,
-                    linestyle='-',
-                    linewidth=1
+                    linestyle="-",
+                    linewidth=1,
                 )
             except ValueError as e:
                 print(f"Skipping probability plot for {selected_sid} due to invalid timestamp: {e}")
@@ -387,6 +396,7 @@ class InterestMonitorApp:
         except Exception as e:
             # 提供更详细的错误信息
             import traceback
+
             error_msg = f"Error during update: {e}\n{traceback.format_exc()}"
             self.set_status(error_msg, "red")
             print(error_msg)  # 打印详细错误到控制台
@@ -398,13 +408,14 @@ class InterestMonitorApp:
         """更新状态栏标签"""
         # 限制状态栏消息长度
         max_len = 150
-        display_message = (message[:max_len] + '...') if len(message) > max_len else message
+        display_message = (message[:max_len] + "...") if len(message) > max_len else message
         self.status_label.config(text=display_message, fg=color)
 
 
 if __name__ == "__main__":
     # 导入 timedelta 用于默认时间范围
     from datetime import timedelta
+
     root = tk.Tk()
     app = InterestMonitorApp(root)
     root.mainloop()

src/do_tool/tool_use.py

@@ -22,9 +22,7 @@ class ToolUser:
         )
 
     @staticmethod
-    async def _build_tool_prompt(
-        message_txt: str, chat_stream: ChatStream, subheartflow: SubHeartflow = None
-    ):
+    async def _build_tool_prompt(message_txt: str, chat_stream: ChatStream, subheartflow: SubHeartflow = None):
         """构建工具使用的提示词
 
         Args:
@@ -114,9 +112,7 @@ class ToolUser:
             logger.error(f"执行工具调用时发生错误: {str(e)}")
             return None
 
-    async def use_tool(
-        self, message_txt: str, chat_stream: ChatStream, sub_heartflow: SubHeartflow = None
-    ):
+    async def use_tool(self, message_txt: str, chat_stream: ChatStream, sub_heartflow: SubHeartflow = None):
         """使用工具辅助思考，判断是否需要额外信息
 
         Args:

src/heart_flow/observation.py

@@ -87,13 +87,19 @@ class ChattingObservation(Observation):
                 # 如果没有获取到限制数量内的较新消息，可能仍然有更早的消息，但我们只关注最近的
                 # 检查是否有任何新消息（即使超出限制），以决定是否更新 last_observe_time
                 # 注意：这里的查询也可能与其他并发 observe 冲突，但锁保护了状态更新
-                any_new_message = db.messages.find_one({"chat_id": self.chat_id, "time": {"$gt": self.last_observe_time}})
+                any_new_message = db.messages.find_one(
+                    {"chat_id": self.chat_id, "time": {"$gt": self.last_observe_time}}
+                )
                 if not any_new_message:
                     return  # 确实没有新消息
 
                 # 如果有超过限制的更早的新消息，仍然需要更新时间戳，防止重复获取旧消息
                 # 但不将它们加入 talking_message
-                latest_message_time_cursor = db.messages.find({"chat_id": self.chat_id, "time": {"$gt": self.last_observe_time}}).sort("time", -1).limit(1)
+                latest_message_time_cursor = (
+                    db.messages.find({"chat_id": self.chat_id, "time": {"$gt": self.last_observe_time}})
+                    .sort("time", -1)
+                    .limit(1)
+                )
                 latest_time_doc = next(latest_message_time_cursor, None)
                 if latest_time_doc:
                     # 确保只在严格大于时更新，避免因并发查询导致时间戳回退
@@ -106,7 +112,9 @@ class ChattingObservation(Observation):
             truly_new_messages = [msg for msg in new_messages if msg["time"] > self.last_observe_time]
 
             if not truly_new_messages:
-                 logger.debug(f"Chat {self.chat_id}: Fetched messages, but already processed by another concurrent observe call.")
+                logger.debug(
+                    f"Chat {self.chat_id}: Fetched messages, but already processed by another concurrent observe call."
+                )
                 return  # 所有获取的消息都已被处理
 
             # 如果获取到了 truly_new_messages (在限制内且时间戳大于上次记录)
@@ -129,7 +137,9 @@ class ChattingObservation(Observation):
                     messages_to_remove_count = len(self.talking_message) - self.max_now_obs_len
                     oldest_messages = self.talking_message[:messages_to_remove_count]
                     self.talking_message = self.talking_message[messages_to_remove_count:]  # 保留后半部分，即最新的
-                    oldest_messages_str = "\n".join([msg["detailed_plain_text"] for msg in oldest_messages if "detailed_plain_text" in msg]) # 增加检查
+                    oldest_messages_str = "\n".join(
+                        [msg["detailed_plain_text"] for msg in oldest_messages if "detailed_plain_text" in msg]
+                    )  # 增加检查
                     oldest_timestamps = [msg["time"] for msg in oldest_messages]
 
                     # 调用 LLM 总结主题
@@ -173,7 +183,9 @@ class ChattingObservation(Observation):
             now_message_str += self.translate_message_list_to_str(talking_message=self.talking_message)
             self.now_message_info = now_message_str
 
-            logger.debug(f"Chat {self.chat_id} - 压缩早期记忆：{self.mid_memory_info}\n现在聊天内容：{self.now_message_info}")
+            logger.debug(
+                f"Chat {self.chat_id} - 压缩早期记忆：{self.mid_memory_info}\n现在聊天内容：{self.now_message_info}"
+            )
         # 锁在退出 async with 块时自动释放
 
     async def update_talking_summary(self, new_messages_str):

src/heart_flow/sub_heartflow.py

@@ -165,8 +165,10 @@ class SubHeartflow:
 
             # 检查是否超过指定时间没有激活 (例如，没有被调用进行思考)
             if current_time - self.last_active_time > global_config.sub_heart_flow_stop_time:  # 例如 5 分钟
-                logger.info(f"子心流 {self.subheartflow_id} 超过 {global_config.sub_heart_flow_stop_time} 秒没有激活，正在销毁..."
-                            f" (Last active: {datetime.fromtimestamp(self.last_active_time).strftime('%Y-%m-%d %H:%M:%S')})")
+                logger.info(
+                    f"子心流 {self.subheartflow_id} 超过 {global_config.sub_heart_flow_stop_time} 秒没有激活，正在销毁..."
+                    f" (Last active: {datetime.fromtimestamp(self.last_active_time).strftime('%Y-%m-%d %H:%M:%S')})"
+                )
                 # 在这里添加实际的销毁逻辑，例如从主 Heartflow 管理器中移除自身
                 # heartflow.remove_subheartflow(self.subheartflow_id) # 假设有这样的方法
                 break  # 退出循环以停止任务
@@ -198,7 +200,10 @@ class SubHeartflow:
             logger.error(f"[{self.subheartflow_id}] do_observe called but no valid observation found.")
 
     async def do_thinking_before_reply(
-        self,  chat_stream: ChatStream, extra_info: str, obs_id: list[str] = None # 修改 obs_id 类型为 list[str]
+        self,
+        chat_stream: ChatStream,
+        extra_info: str,
+        obs_id: list[str] = None,  # 修改 obs_id 类型为 list[str]
     ):
         async with self._thinking_lock:  # 获取思考锁
             # --- 在思考前确保观察已执行 --- #
@@ -220,13 +225,14 @@ class SubHeartflow:
                     chat_observe_info = observation.get_observe_info(obs_id)
                     logger.debug(f"[{self.subheartflow_id}] Using specific observation IDs: {obs_id}")
                 except Exception as e:
-                    logger.error(f"[{self.subheartflow_id}] Error getting observe info with IDs {obs_id}: {e}. Falling back.")
+                    logger.error(
+                        f"[{self.subheartflow_id}] Error getting observe info with IDs {obs_id}: {e}. Falling back."
+                    )
                     chat_observe_info = observation.get_observe_info()  # 出错时回退到默认观察
             else:
                 chat_observe_info = observation.get_observe_info()
                 logger.debug(f"[{self.subheartflow_id}] Using default observation info.")
 
-
             # --- 构建 Prompt (基本逻辑不变) --- #
             extra_info_prompt = ""
             if extra_info:

src/plugins/chat/bot.py

@@ -125,8 +125,6 @@ class ChatBot:
 
                                     await self.heartFC_processor.process_message(message_data)
 
-                                    
-                                    
                                 elif global_config.response_mode == "reasoning":
                                     # logger.debug(f"开始推理模式{str(message_data)[:50]}...")
                                     await self.reasoning_chat.process_message(message_data)

src/plugins/chat_module/heartFC_chat/heartFC__generator.py

@@ -37,7 +37,11 @@ class ResponseGenerator:
         self.current_model_type = "r1"  # 默认使用 R1
         self.current_model_name = "unknown model"
 
-    async def generate_response(self, message: MessageRecv, thinking_id: str,) -> Optional[List[str]]:
+    async def generate_response(
+        self,
+        message: MessageRecv,
+        thinking_id: str,
+    ) -> Optional[List[str]]:
         """根据当前模型类型选择对应的生成函数"""
 
         logger.info(
@@ -47,16 +51,12 @@ class ResponseGenerator:
         arousal_multiplier = MoodManager.get_instance().get_arousal_multiplier()
 
         with Timer() as t_generate_response:
-
             current_model = self.model_normal
-            current_model.temperature = (
-                global_config.llm_normal["temp"] * arousal_multiplier
-            )  # 激活度越高，温度越高
+            current_model.temperature = global_config.llm_normal["temp"] * arousal_multiplier  # 激活度越高，温度越高
             model_response = await self._generate_response_with_model(
                 message, current_model, thinking_id, mode="normal"
             )
 
-
         if model_response:
             logger.info(
                 f"{global_config.BOT_NICKNAME}的回复是：{model_response},生成回复时间: {t_generate_response.human_readable}"

src/plugins/chat_module/heartFC_chat/heartFC_chat.py

@@ -33,6 +33,7 @@ logger = get_module_logger("heartFC_chat", config=chat_config)
 # 新增常量
 INTEREST_MONITOR_INTERVAL_SECONDS = 1
 
+
 class HeartFC_Chat:
     _instance = None  # For potential singleton access if needed by MessageManager
 
@@ -59,6 +60,7 @@ class HeartFC_Chat:
     @classmethod
     def get_instance(cls):
         return cls._instance
+
     # --- End Added Class Method ---
 
     async def start(self):
@@ -95,6 +97,7 @@ class HeartFC_Chat:
                     return None
                 self.pf_chatting_instances[stream_id] = instance
             return self.pf_chatting_instances[stream_id]
+
     # --- End Added PFChatting Instance Manager ---
 
     async def _interest_monitor_loop(self):
@@ -121,7 +124,9 @@ class HeartFC_Chat:
                             # if should_trigger:
                             #     logger.info(f"[{stream_name}] 基于兴趣概率决定启动交流模式 (概率: {interest_chatting.current_reply_probability:.4f})。")
                         else:
-                            logger.trace(f"[{stream_name}] 没有找到对应的 InterestChatting 实例，跳过基于兴趣的触发检查。")
+                            logger.trace(
+                                f"[{stream_name}] 没有找到对应的 InterestChatting 实例，跳过基于兴趣的触发检查。"
+                            )
                     except Exception as e:
                         logger.error(f"检查兴趣触发器时出错 流 {stream_name}: {e}")
                         logger.error(traceback.format_exc())
@@ -169,7 +174,9 @@ class HeartFC_Chat:
         MessageManager().add_message(thinking_message)
         return thinking_id
 
-    async def _send_response_messages(self, anchor_message: Optional[MessageRecv], response_set: List[str], thinking_id) -> Optional[MessageSending]:
+    async def _send_response_messages(
+        self, anchor_message: Optional[MessageRecv], response_set: List[str], thinking_id
+    ) -> Optional[MessageSending]:
         """发送回复消息 (尝试锚定到 anchor_message)"""
         if not anchor_message or not anchor_message.chat_stream:
             logger.error("无法发送回复，缺少有效的锚点消息或聊天流。")
@@ -271,7 +278,7 @@ class HeartFC_Chat:
         await relationship_manager.calculate_update_relationship_value(
             chat_stream=anchor_message.chat_stream,  # 使用锚点消息的流
             label=emotion,
-            stance=stance
+            stance=stance,
         )
         self.mood_manager.update_mood_from_emotion(emotion, global_config.mood_intensity_factor)
 
@@ -314,18 +321,31 @@ class HeartFC_Chat:
                     if observed_messages:
                         try:
                             last_msg_dict = observed_messages[-1]
-                            logger.debug(f"[{stream_name}] Attempting to reconstruct MessageRecv from last observed message.")
+                            logger.debug(
+                                f"[{stream_name}] Attempting to reconstruct MessageRecv from last observed message."
+                            )
                             anchor_message = MessageRecv(last_msg_dict, chat_stream=chat)
-                            if not (anchor_message and anchor_message.message_info and anchor_message.message_info.message_id and anchor_message.message_info.user_info):
+                            if not (
+                                anchor_message
+                                and anchor_message.message_info
+                                and anchor_message.message_info.message_id
+                                and anchor_message.message_info.user_info
+                            ):
                                 raise ValueError("Reconstructed MessageRecv missing essential info.")
                             userinfo = anchor_message.message_info.user_info
                             messageinfo = anchor_message.message_info
-                            logger.debug(f"[{stream_name}] Successfully reconstructed anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
+                            logger.debug(
+                                f"[{stream_name}] Successfully reconstructed anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}"
+                            )
                         except Exception as e_reconstruct:
-                            logger.warning(f"[{stream_name}] Reconstructing MessageRecv from observed message failed: {e_reconstruct}. Will create placeholder.")
+                            logger.warning(
+                                f"[{stream_name}] Reconstructing MessageRecv from observed message failed: {e_reconstruct}. Will create placeholder."
+                            )
                             reconstruction_failed = True
                     else:
-                        logger.warning(f"[{stream_name}] observed_messages is empty. Will create placeholder anchor message.")
+                        logger.warning(
+                            f"[{stream_name}] observed_messages is empty. Will create placeholder anchor message."
+                        )
                         reconstruction_failed = True  # Treat empty observed_messages as a failure to reconstruct
 
                     # 如果重建失败或 observed_messages 为空，创建占位符
@@ -337,7 +357,7 @@ class HeartFC_Chat:
                             platform=chat.platform,
                             group_info=chat.group_info,
                             user_info=placeholder_user,
-                            time=time.time()
+                            time=time.time(),
                             # 其他 BaseMessageInfo 可能需要的字段设为默认值或 None
                         )
                         # 创建 MessageRecv 实例，注意它需要消息字典结构，我们创建一个最小化的
@@ -353,7 +373,9 @@ class HeartFC_Chat:
                         anchor_message.update_chat_stream(chat)
                         userinfo = anchor_message.message_info.user_info
                         messageinfo = anchor_message.message_info
-                        logger.info(f"[{stream_name}] Created placeholder anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
+                        logger.info(
+                            f"[{stream_name}] Created placeholder anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}"
+                        )
 
             except Exception as e:
                 logger.error(f"[{stream_name}] 获取或创建锚点消息时出错: {e}")
@@ -364,7 +386,7 @@ class HeartFC_Chat:
             try:
                 container = MessageManager().get_container(chat.stream_id)
                 thinking_count = container.count_thinking_messages()
-                max_thinking_messages = getattr(global_config, 'max_concurrent_thinking_messages', 3)
+                max_thinking_messages = getattr(global_config, "max_concurrent_thinking_messages", 3)
                 if thinking_count >= max_thinking_messages:
                     logger.warning(f"聊天流 {stream_name} 已有 {thinking_count} 条思考消息，取消回复。")
                     return
@@ -403,11 +425,13 @@ class HeartFC_Chat:
                     for msg_dict in observed_messages:
                         # 假设 detailed_plain_text 字段包含所需文本
                         # 你可能需要更复杂的逻辑来格式化，例如添加发送者和时间
-                        text = msg_dict.get('detailed_plain_text', '')
+                        text = msg_dict.get("detailed_plain_text", "")
                         if text:
                             context_texts.append(text)
                     observation_context_text = "\n".join(context_texts)
-                    logger.debug(f"[{stream_name}] Context for tools:\n{observation_context_text[-200:]}...") # 打印部分上下文
+                    logger.debug(
+                        f"[{stream_name}] Context for tools:\n{observation_context_text[-200:]}..."
+                    )  # 打印部分上下文
                 else:
                     logger.warning(f"[{stream_name}] observed_messages 列表为空，无法为工具提供上下文。")
 
@@ -416,7 +440,7 @@ class HeartFC_Chat:
                         tool_result = await self.tool_user.use_tool(
                             message_txt=observation_context_text,  # <--- 使用观察上下文
                             chat_stream=chat,
-                            sub_heartflow=sub_hf
+                            sub_heartflow=sub_hf,
                         )
                         if tool_result.get("used_tools", False):
                             if "structured_info" in tool_result:
@@ -496,7 +520,9 @@ class HeartFC_Chat:
             # --- 12. 记录性能日志 --- #
             timing_str = " | ".join([f"{step}: {duration:.2f}秒" for step, duration in timing_results.items()])
             response_msg = " ".join(response_set) if response_set else "无回复"
-            logger.info(f"[{stream_name}] 回复任务完成 (Observation Triggered): | 思维消息: {response_msg[:30]}... | 性能计时: {timing_str}")
+            logger.info(
+                f"[{stream_name}] 回复任务完成 (Observation Triggered): | 思维消息: {response_msg[:30]}... | 性能计时: {timing_str}"
+            )
 
             # --- 13. 更新关系情绪 (使用 anchor_message) ---
             if first_bot_msg:  # 仅在成功发送消息后
@@ -514,6 +540,7 @@ class HeartFC_Chat:
         finally:
             # 可以在这里添加清理逻辑，如果有的话
             pass
+
     # --- 结束重构 ---
 
     # _create_thinking_message, _send_response_messages, _handle_emoji, _update_relationship

src/plugins/chat_module/heartFC_chat/heartFC_processor.py

@@ -24,10 +24,13 @@ logger = get_module_logger("heartFC_processor", config=processor_config)
 # # 定义兴趣度增加触发回复的阈值 (移至 InterestManager)
 # INTEREST_INCREASE_THRESHOLD = 0.5
 
+
 class HeartFC_Processor:
     def __init__(self, chat_instance: HeartFC_Chat):
         self.storage = MessageStorage()
-        self.interest_manager = InterestManager() # TODO: 可能需要传递 chat_instance 给 InterestManager 或修改其方法签名
+        self.interest_manager = (
+            InterestManager()
+        )  # TODO: 可能需要传递 chat_instance 给 InterestManager 或修改其方法签名
         self.chat_instance = chat_instance  # 持有 HeartFC_Chat 实例
 
     async def process_message(self, message_data: str) -> None:
@@ -50,7 +53,9 @@ class HeartFC_Processor:
                 group_info=groupinfo,
             )
             if not chat:
-                logger.error(f"无法为消息创建或获取聊天流: user {userinfo.user_id}, group {groupinfo.group_id if groupinfo else 'None'}")
+                logger.error(
+                    f"无法为消息创建或获取聊天流: user {userinfo.user_id}, group {groupinfo.group_id if groupinfo else 'None'}"
+                )
                 return
 
             message.update_chat_stream(chat)
@@ -77,9 +82,11 @@ class HeartFC_Processor:
                 if message.message_segment.type != "seglist":
                     F_type = message.message_segment.type
                 else:
-                    if (isinstance(message.message_segment.data, list)
+                    if (
+                        isinstance(message.message_segment.data, list)
                         and all(isinstance(x, Seg) for x in message.message_segment.data)
-                    and len(message.message_segment.data) == 1):
+                        and len(message.message_segment.data) == 1
+                    ):
                         F_type = message.message_segment.data[0].type
                 if F_type == "text":
                     logger.debug(f"触发缓冲，消息：{message.processed_plain_text}")
@@ -107,7 +114,8 @@ class HeartFC_Processor:
             try:
                 with Timer("记忆激活", timing_results):
                     interested_rate = await HippocampusManager.get_instance().get_activate_from_text(
-                        message.processed_plain_text, fast_retrieval=True # 使用更新后的文本
+                        message.processed_plain_text,
+                        fast_retrieval=True,  # 使用更新后的文本
                     )
                 logger.trace(f"记忆激活率 (通过缓冲后): {interested_rate:.2f}")
             except Exception as e:
@@ -121,7 +129,9 @@ class HeartFC_Processor:
             try:
                 self.interest_manager.increase_interest(chat.stream_id, value=interested_rate)
                 current_interest = self.interest_manager.get_interest(chat.stream_id)  # 获取更新后的值用于日志
-                logger.trace(f"使用激活率 {interested_rate:.2f} 更新后 (通过缓冲后)，当前兴趣度: {current_interest:.2f}")
+                logger.trace(
+                    f"使用激活率 {interested_rate:.2f} 更新后 (通过缓冲后)，当前兴趣度: {current_interest:.2f}"
+                )
 
             except Exception as e:
                 logger.error(f"更新兴趣度失败: {e}")  # 调整日志消息

src/plugins/chat_module/heartFC_chat/interest.py

@@ -12,7 +12,7 @@ from src.plugins.chat.chat_stream import chat_manager # *** Import ChatManager *
 # 定义日志配置 (使用 loguru 格式)
 interest_log_config = LogConfig(
     console_format=DEFAULT_CONFIG["console_format"],  # 使用默认控制台格式
-    file_format=DEFAULT_CONFIG["file_format"]     # 使用默认文件格式
+    file_format=DEFAULT_CONFIG["file_format"],  # 使用默认文件格式
 )
 logger = get_module_logger("InterestManager", config=interest_log_config)
 
@@ -38,15 +38,18 @@ PROBABILITY_DECAY_FACTOR_PER_SECOND = 0.3  # 低于阈值时，每秒概率衰
 MAX_REPLY_PROBABILITY = 1  # 回复概率上限 (示例值)
 # --- 结束：概率回复相关常量 ---
 
+
 class InterestChatting:
-    def __init__(self,
+    def __init__(
+        self,
         decay_rate=DEFAULT_DECAY_RATE_PER_SECOND,
         max_interest=MAX_INTEREST,
         trigger_threshold=REPLY_TRIGGER_THRESHOLD,
         base_reply_probability=BASE_REPLY_PROBABILITY,
         increase_rate=PROBABILITY_INCREASE_RATE_PER_SECOND,
         decay_factor=PROBABILITY_DECAY_FACTOR_PER_SECOND,
-                 max_probability=MAX_REPLY_PROBABILITY):
+        max_probability=MAX_REPLY_PROBABILITY,
+    ):
         self.interest_level: float = 0.0
         self.last_update_time: float = time.time()  # 同时作为兴趣和概率的更新时间基准
         self.decay_rate_per_second: float = decay_rate
@@ -76,11 +79,15 @@ class InterestChatting:
             else:
                 # 检查 decay_rate_per_second 是否为非正数，避免 math domain error
                 if self.decay_rate_per_second <= 0:
-                     logger.warning(f"InterestChatting encountered non-positive decay rate: {self.decay_rate_per_second}. Setting interest to 0.")
+                    logger.warning(
+                        f"InterestChatting encountered non-positive decay rate: {self.decay_rate_per_second}. Setting interest to 0."
+                    )
                     self.interest_level = 0.0
                 # 检查 interest_level 是否为负数，虽然理论上不应发生，但以防万一
                 elif self.interest_level < 0:
-                     logger.warning(f"InterestChatting encountered negative interest level: {self.interest_level}. Setting interest to 0.")
+                    logger.warning(
+                        f"InterestChatting encountered negative interest level: {self.interest_level}. Setting interest to 0."
+                    )
                     self.interest_level = 0.0
                 else:
                     try:
@@ -88,7 +95,9 @@ class InterestChatting:
                         self.interest_level *= decay_factor
                     except ValueError as e:
                         # 捕获潜在的 math domain error，例如对负数开非整数次方（虽然已加保护）
-                        logger.error(f"Math error during decay calculation: {e}. Rate: {self.decay_rate_per_second}, Delta: {time_delta}, Level: {self.interest_level}. Setting interest to 0.")
+                        logger.error(
+                            f"Math error during decay calculation: {e}. Rate: {self.decay_rate_per_second}, Delta: {time_delta}, Level: {self.interest_level}. Setting interest to 0."
+                        )
                         self.interest_level = 0.0
 
             # 防止低于阈值 (如果需要)
@@ -110,7 +119,9 @@ class InterestChatting:
             if not self.is_above_threshold:
                 # 刚跨过阈值，重置为基础概率
                 self.current_reply_probability = self.base_reply_probability
-                logger.debug(f"兴趣跨过阈值 ({self.trigger_threshold}). 概率重置为基础值: {self.base_reply_probability:.4f}")
+                logger.debug(
+                    f"兴趣跨过阈值 ({self.trigger_threshold}). 概率重置为基础值: {self.base_reply_probability:.4f}"
+                )
             else:
                 # 持续高于阈值，线性增加概率
                 increase_amount = self.probability_increase_rate * time_delta
@@ -196,7 +207,7 @@ class InterestChatting:
             "last_update_time": self.last_update_time,
             "current_reply_probability": round(self.current_reply_probability, 4),  # 添加概率到状态
             "is_above_threshold": self.is_above_threshold,  # 添加阈值状态
-            "last_interaction_time": self.last_interaction_time # 新增：添加最后交互时间到状态
+            "last_interaction_time": self.last_interaction_time,  # 新增：添加最后交互时间到状态
             # 可以选择性地暴露 last_increase_amount 给状态，方便调试
             # "last_increase_amount": round(self.last_increase_amount, 2)
         }
@@ -286,7 +297,7 @@ class InterestManager:
                 all_states = self.get_all_interest_states()  # 获取当前所有状态
 
                 # 以追加模式打开历史日志文件
-                with open(self._history_log_file_path, 'a', encoding='utf-8') as f:
+                with open(self._history_log_file_path, "a", encoding="utf-8") as f:
                     count = 0
                     for stream_id, state in all_states.items():
                         # *** Get group name from ChatManager ***
@@ -298,7 +309,11 @@ class InterestManager:
                                 group_name = chat_stream.group_info.group_name
                             elif chat_stream and not chat_stream.group_info:
                                 # Handle private chats - maybe use user nickname?
-                                group_name = f"私聊_{chat_stream.user_info.user_nickname}" if chat_stream.user_info else stream_id
+                                group_name = (
+                                    f"私聊_{chat_stream.user_info.user_nickname}"
+                                    if chat_stream.user_info
+                                    else stream_id
+                                )
                         except Exception as e:
                             logger.warning(f"Could not get group name for stream_id {stream_id}: {e}")
                             # Fallback to stream_id is already handled by default value
@@ -310,11 +325,11 @@ class InterestManager:
                             "group_name": group_name,  # *** Add group_name ***
                             # --- 新增：记录概率相关信息 ---
                             "reply_probability": state.get("current_reply_probability", 0.0),
-                            "is_above_threshold": state.get("is_above_threshold", False)
+                            "is_above_threshold": state.get("is_above_threshold", False),
                             # --- 结束新增 ---
                         }
                         # 将每个条目作为单独的 JSON 行写入
-                        f.write(json.dumps(log_entry, ensure_ascii=False) + '\n')
+                        f.write(json.dumps(log_entry, ensure_ascii=False) + "\n")
                         count += 1
                 # logger.debug(f"Successfully appended {count} interest history entries to {self._history_log_file_path}")
 
@@ -355,27 +370,24 @@ class InterestManager:
         if self._cleanup_task is None or self._cleanup_task.done():
             self._cleanup_task = asyncio.create_task(
                 self._periodic_cleanup_task(
-                    interval_seconds=CLEANUP_INTERVAL_SECONDS,
-                    max_age_seconds=INACTIVE_THRESHOLD_SECONDS
+                    interval_seconds=CLEANUP_INTERVAL_SECONDS, max_age_seconds=INACTIVE_THRESHOLD_SECONDS
                 )
             )
-            logger.info(f"已创建定期清理任务。间隔时间: {CLEANUP_INTERVAL_SECONDS}秒, 不活跃阈值: {INACTIVE_THRESHOLD_SECONDS}秒")
+            logger.info(
+                f"已创建定期清理任务。间隔时间: {CLEANUP_INTERVAL_SECONDS}秒, 不活跃阈值: {INACTIVE_THRESHOLD_SECONDS}秒"
+            )
         else:
             logger.warning("跳过创建清理任务:任务已在运行或存在。")
 
         if self._logging_task is None or self._logging_task.done():
-            self._logging_task = asyncio.create_task(
-                self._periodic_log_task(interval_seconds=LOG_INTERVAL_SECONDS)
-            )
+            self._logging_task = asyncio.create_task(self._periodic_log_task(interval_seconds=LOG_INTERVAL_SECONDS))
             logger.info(f"已创建定期日志任务。间隔时间: {LOG_INTERVAL_SECONDS}秒")
         else:
             logger.warning("跳过创建日志任务:任务已在运行或存在。")
 
         # 启动新的衰减任务
         if self._decay_task is None or self._decay_task.done():
-            self._decay_task = asyncio.create_task(
-                self._periodic_decay_task()
-            )
+            self._decay_task = asyncio.create_task(self._periodic_decay_task())
             logger.info("已创建定期衰减任务。间隔时间: 1秒")
         else:
             logger.warning("跳过创建衰减任务:任务已在运行或存在。")
@@ -414,7 +426,7 @@ class InterestManager:
                 base_reply_probability=BASE_REPLY_PROBABILITY,
                 increase_rate=PROBABILITY_INCREASE_RATE_PER_SECOND,
                 decay_factor=PROBABILITY_DECAY_FACTOR_PER_SECOND,
-                max_probability=MAX_REPLY_PROBABILITY
+                max_probability=MAX_REPLY_PROBABILITY,
             )
             # --- 结束修改 ---
             # 首次创建时兴趣为 0，由第一次消息的 activate rate 决定初始值
@@ -434,7 +446,9 @@ class InterestManager:
         # 调用修改后的 increase_interest，不再传入 message
         interest_chatting.increase_interest(current_time, value)
         stream_name = chat_manager.get_stream_name(stream_id) or stream_id  # 获取流名称
-        logger.debug(f"增加了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}") # 更新日志
+        logger.debug(
+            f"增加了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}"
+        )  # 更新日志
 
     def decrease_interest(self, stream_id: str, value: float):
         """降低指定聊天流的兴趣度"""
@@ -444,7 +458,9 @@ class InterestManager:
         if interest_chatting:
             interest_chatting.decrease_interest(current_time, value)
             stream_name = chat_manager.get_stream_name(stream_id) or stream_id  # 获取流名称
-            logger.debug(f"降低了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}")
+            logger.debug(
+                f"降低了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}"
+            )
         else:
             stream_name = chat_manager.get_stream_name(stream_id) or stream_id  # 获取流名称
             logger.warning(f"尝试降低不存在的聊天流 {stream_name} 的兴趣度")
@@ -469,7 +485,9 @@ class InterestManager:
             should_remove = False
             reason = ""
             # 只有设置了 max_age_seconds 才检查时间
-            if max_age_seconds is not None and (current_time - last_interaction) > max_age_seconds: # 使用 last_interaction
+            if (
+                max_age_seconds is not None and (current_time - last_interaction) > max_age_seconds
+            ):  # 使用 last_interaction
                 should_remove = True
                 reason = f"inactive time ({current_time - last_interaction:.0f}s) > max age ({max_age_seconds}s)"  # 更新日志信息
 

src/plugins/chat_module/heartFC_chat/messagesender.py

@@ -23,6 +23,7 @@ logger = get_module_logger("msg_sender", config=sender_config)
 
 class MessageSender:
     """发送器"""
+
     _instance = None
 
     def __new__(cls, *args, **kwargs):
@@ -32,7 +33,7 @@ class MessageSender:
 
     def __init__(self):
         # 确保 __init__ 只被调用一次
-        if not hasattr(self, '_initialized'):
+        if not hasattr(self, "_initialized"):
             self.message_interval = (0.5, 1)  # 消息间隔时间范围(秒)
             self.last_send_time = 0
             self._current_bot = None
@@ -42,7 +43,6 @@ class MessageSender:
         """设置当前bot实例"""
         pass
 
-
     async def send_via_ws(self, message: MessageSending) -> None:
         try:
             await global_api.send_message(message)
@@ -56,7 +56,6 @@ class MessageSender:
         """发送消息"""
 
         if isinstance(message, MessageSending):
-
             typing_time = calculate_typing_time(
                 input_string=message.processed_plain_text,
                 thinking_start_time=message.thinking_start_time,
@@ -143,6 +142,7 @@ class MessageContainer:
 
 class MessageManager:
     """管理所有聊天流的消息容器"""
+
     _instance = None
 
     def __new__(cls, *args, **kwargs):
@@ -152,7 +152,7 @@ class MessageManager:
 
     def __init__(self):
         # 确保 __init__ 只被调用一次
-        if not hasattr(self, '_initialized'):
+        if not hasattr(self, "_initialized"):
             self.containers: Dict[str, MessageContainer] = {}  # chat_id -> MessageContainer
             self.storage = MessageStorage()
             self._running = True

src/plugins/chat_module/heartFC_chat/pf_chatting.py

@@ -17,7 +17,7 @@ from src.plugins.models.utils_model import LLMRequest
 # 定义日志配置 (使用 loguru 格式)
 interest_log_config = LogConfig(
     console_format=DEFAULT_CONFIG["console_format"],  # 使用默认控制台格式
-    file_format=DEFAULT_CONFIG["file_format"]     # 使用默认文件格式
+    file_format=DEFAULT_CONFIG["file_format"],  # 使用默认文件格式
 )
 logger = get_module_logger("PFChattingLoop", config=interest_log_config)  # Logger Name Changed
 
@@ -38,30 +38,29 @@ PLANNER_TOOL_DEFINITION = [
                     "action": {
                         "type": "string",
                         "enum": ["no_reply", "text_reply", "emoji_reply"],
-                        "description": "决定采取的行动：'no_reply'(不回复), 'text_reply'(文本回复) 或 'emoji_reply'(表情回复)。"
-                    },
-                    "reasoning": {
-                         "type": "string",
-                         "description": "做出此决定的简要理由。"
+                        "description": "决定采取的行动：'no_reply'(不回复), 'text_reply'(文本回复) 或 'emoji_reply'(表情回复)。",
                     },
+                    "reasoning": {"type": "string", "description": "做出此决定的简要理由。"},
                     "emoji_query": {
                         "type": "string",
-                        "description": '如果行动是\'emoji_reply\',则指定表情的主题或概念（例如，"开心"、"困惑"）。仅在需要表情回复时提供。'
-                    }
+                        "description": '如果行动是\'emoji_reply\',则指定表情的主题或概念（例如，"开心"、"困惑"）。仅在需要表情回复时提供。',
+                    },
+                },
+                "required": ["action", "reasoning"],  # 强制要求提供行动和理由
+            },
         },
-                "required": ["action", "reasoning"] # 强制要求提供行动和理由
-            }
-        }
     }
 ]
 
+
 class PFChatting:
     """
     Manages a continuous Plan-Filter-Check (now Plan-Replier-Sender) loop
     for generating replies within a specific chat stream, controlled by a timer.
     The loop runs as long as the timer > 0.
     """
-    def __init__(self, chat_id: str, heartfc_chat_instance: 'HeartFC_Chat'):
+
+    def __init__(self, chat_id: str, heartfc_chat_instance: "HeartFC_Chat"):
         """
         初始化PFChatting实例。
 
@@ -82,7 +81,7 @@ class PFChatting:
             model=global_config.llm_normal,
             temperature=global_config.llm_normal["temp"],
             max_tokens=1000,
-            request_type="action_planning"
+            request_type="action_planning",
         )
 
         # Internal state for loop control
@@ -96,7 +95,6 @@ class PFChatting:
         # Removed pending_replies as processing is now serial within the loop
         # self.pending_replies: Dict[str, PendingReply] = {}
 
-
     def _get_log_prefix(self) -> str:
         """获取日志前缀，包含可读的流名称"""
         stream_name = chat_manager.get_stream_name(self.stream_id) or self.stream_id
@@ -156,7 +154,9 @@ class PFChatting:
                 self._trigger_count_this_activation += 1
                 duration_to_add = self._last_added_duration * 0.5
                 self._last_added_duration = duration_to_add  # 更新上次增加的值
-                logger.info(f"{log_prefix} Trigger #{self._trigger_count_this_activation}. Adding {duration_to_add:.2f}s (50% of previous). Timer was {self._loop_timer:.1f}s.")
+                logger.info(
+                    f"{log_prefix} Trigger #{self._trigger_count_this_activation}. Adding {duration_to_add:.2f}s (50% of previous). Timer was {self._loop_timer:.1f}s."
+                )
 
             # 添加计算出的时间
             new_timer_value = self._loop_timer + duration_to_add
@@ -176,7 +176,6 @@ class PFChatting:
             elif self._loop_active:
                 logger.debug(f"{log_prefix} Loop already active. Timer extended.")
 
-
     def _handle_loop_completion(self, task: asyncio.Task):
         """当 _run_pf_loop 任务完成时执行的回调。"""
         log_prefix = self._get_log_prefix()
@@ -201,7 +200,6 @@ class PFChatting:
                 logger.warning(f"{log_prefix} PFChatting: 锁没有正常释放")
                 self._processing_lock.release()
 
-
     async def _run_pf_loop(self):
         """
         主循环，当计时器>0时持续进行计划并可能回复消息
@@ -214,7 +212,9 @@ class PFChatting:
                 async with self._timer_lock:
                     current_timer = self._loop_timer
                     if current_timer <= 0:
-                        logger.info(f"{self._get_log_prefix()} PFChatting: 聊太久了，麦麦打算休息一下(已经聊了{current_timer:.1f}秒)，退出PFChatting")
+                        logger.info(
+                            f"{self._get_log_prefix()} PFChatting: 聊太久了，麦麦打算休息一下(已经聊了{current_timer:.1f}秒)，退出PFChatting"
+                        )
                         break  # 退出条件：计时器到期
 
                 # 记录循环开始时间
@@ -259,7 +259,7 @@ class PFChatting:
                                         anchor_message=anchor_message,
                                         thinking_id=thinking_id,
                                         current_mind=current_mind,
-                                        send_emoji=send_emoji_from_tools
+                                        send_emoji=send_emoji_from_tools,
                                     )
                                 except Exception as e_replier:
                                     logger.error(f"{self._get_log_prefix()} 循环: 回复器工作失败: {e_replier}")
@@ -324,7 +324,9 @@ class PFChatting:
                 cycle_duration = time.monotonic() - loop_cycle_start_time
                 async with self._timer_lock:
                     self._loop_timer -= cycle_duration
-                    logger.debug(f"{self._get_log_prefix()} PFChatting: 麦麦聊了{cycle_duration:.2f}秒. 还能聊: {self._loop_timer:.1f}s.")
+                    logger.debug(
+                        f"{self._get_log_prefix()} PFChatting: 麦麦聊了{cycle_duration:.2f}秒. 还能聊: {self._loop_timer:.1f}s."
+                    )
 
                 # --- Delay ---
                 # Add a small delay, especially if no action was taken, to prevent busy-waiting
@@ -385,22 +387,24 @@ class PFChatting:
         try:
             observation_context_text = ""
             if observed_messages:
-                context_texts = [msg.get('detailed_plain_text', '') for msg in observed_messages if msg.get('detailed_plain_text')]
+                context_texts = [
+                    msg.get("detailed_plain_text", "") for msg in observed_messages if msg.get("detailed_plain_text")
+                ]
                 observation_context_text = "\n".join(context_texts)
                 logger.debug(f"{log_prefix}[Planner] Context for tools: {observation_context_text[:100]}...")
 
             if observation_context_text and self.sub_hf:
                 # Ensure SubHeartflow exists for tool use context
                 tool_result = await self.heartfc_chat.tool_user.use_tool(
-                    message_txt=observation_context_text,
-                    chat_stream=self.chat_stream,
-                    sub_heartflow=self.sub_hf
+                    message_txt=observation_context_text, chat_stream=self.chat_stream, sub_heartflow=self.sub_hf
                 )
                 if tool_result.get("used_tools", False):
                     tool_result_info = tool_result.get("structured_info", {})
                     logger.debug(f"{log_prefix}[Planner] Tool results: {tool_result_info}")
                     if "mid_chat_mem" in tool_result_info:
-                        get_mid_memory_id = [mem["content"] for mem in tool_result_info["mid_chat_mem"] if "content" in mem]
+                        get_mid_memory_id = [
+                            mem["content"] for mem in tool_result_info["mid_chat_mem"] if "content" in mem
+                        ]
                     if "send_emoji" in tool_result_info and tool_result_info["send_emoji"]:
                         send_emoji_from_tools = tool_result_info["send_emoji"][0].get("content", "")  # Use renamed var
             elif not self.sub_hf:
@@ -430,7 +434,6 @@ class PFChatting:
             logger.error(traceback.format_exc())
             current_mind = "[心流思考出错]"
 
-
         # --- 使用 LLM 进行决策 ---
         action = "no_reply"  # Default action
         emoji_query = ""
@@ -462,17 +465,26 @@ class PFChatting:
                 if tool_calls and isinstance(tool_calls, list) and len(tool_calls) > 0:
                     # 通常强制调用后只会有一个 tool_call
                     tool_call = tool_calls[0]
-                    if tool_call.get("type") == "function" and tool_call.get("function", {}).get("name") == "decide_reply_action":
+                    if (
+                        tool_call.get("type") == "function"
+                        and tool_call.get("function", {}).get("name") == "decide_reply_action"
+                    ):
                         try:
                             arguments = json.loads(tool_call["function"]["arguments"])
                             action = arguments.get("action", "no_reply")
                             reasoning = arguments.get("reasoning", "未提供理由")
                             if action == "emoji_reply":
                                 # Planner's decision overrides tool's emoji if action is emoji_reply
-                                emoji_query = arguments.get("emoji_query", send_emoji_from_tools) # Use tool emoji as default if planner asks for emoji
-                            logger.info(f"{log_prefix}[Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
+                                emoji_query = arguments.get(
+                                    "emoji_query", send_emoji_from_tools
+                                )  # Use tool emoji as default if planner asks for emoji
+                            logger.info(
+                                f"{log_prefix}[Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'"
+                            )
                         except json.JSONDecodeError as json_e:
-                            logger.error(f"{log_prefix}[Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
+                            logger.error(
+                                f"{log_prefix}[Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}"
+                            )
                             action = "error"
                             reasoning = "工具参数解析失败"
                             llm_error = True
@@ -482,7 +494,9 @@ class PFChatting:
                             reasoning = "处理工具参数时出错"
                             llm_error = True
                     else:
-                        logger.warning(f"{log_prefix}[Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
+                        logger.warning(
+                            f"{log_prefix}[Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}"
+                        )
                         action = "error"
                         reasoning = "LLM未调用预期工具"
                         llm_error = True
@@ -513,7 +527,7 @@ class PFChatting:
             "current_mind": current_mind,
             "send_emoji_from_tools": send_emoji_from_tools,  # Emoji suggested by pre-thinking tools
             "observed_messages": observed_messages,
-            "llm_error": llm_error # Indicate if LLM decision process failed
+            "llm_error": llm_error,  # Indicate if LLM decision process failed
         }
 
     async def _get_anchor_message(self, observed_messages: List[dict]) -> Optional[MessageRecv]:
@@ -535,24 +549,35 @@ class PFChatting:
                     # Attempt reconstruction from the last observed message dictionary
                     anchor_message = MessageRecv(last_msg_dict, chat_stream=self.chat_stream)
                     # Basic validation
-                    if not (anchor_message and anchor_message.message_info and anchor_message.message_info.message_id and anchor_message.message_info.user_info):
+                    if not (
+                        anchor_message
+                        and anchor_message.message_info
+                        and anchor_message.message_info.message_id
+                        and anchor_message.message_info.user_info
+                    ):
                         raise ValueError("重构的 MessageRecv 缺少必要信息.")
-                    logger.debug(f"{self._get_log_prefix()} 重构的锚点消息: ID={anchor_message.message_info.message_id}")
+                    logger.debug(
+                        f"{self._get_log_prefix()} 重构的锚点消息: ID={anchor_message.message_info.message_id}"
+                    )
                     return anchor_message
                 except Exception as e_reconstruct:
-                    logger.warning(f"{self._get_log_prefix()} 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符.")
+                    logger.warning(
+                        f"{self._get_log_prefix()} 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符."
+                    )
             else:
                 logger.warning(f"{self._get_log_prefix()} observed_messages 为空. 创建占位符锚点消息.")
 
             # --- Create Placeholder ---
             placeholder_id = f"mid_pf_{int(time.time() * 1000)}"
-            placeholder_user = UserInfo(user_id="system_trigger", user_nickname="System Trigger", platform=self.chat_stream.platform)
+            placeholder_user = UserInfo(
+                user_id="system_trigger", user_nickname="System Trigger", platform=self.chat_stream.platform
+            )
             placeholder_msg_info = BaseMessageInfo(
                 message_id=placeholder_id,
                 platform=self.chat_stream.platform,
                 group_info=self.chat_stream.group_info,
                 user_info=placeholder_user,
-                time=time.time()
+                time=time.time(),
             )
             placeholder_msg_dict = {
                 "message_info": placeholder_msg_info.to_dict(),
@@ -562,7 +587,9 @@ class PFChatting:
             }
             anchor_message = MessageRecv(placeholder_msg_dict)
             anchor_message.update_chat_stream(self.chat_stream)  # Associate with the stream
-            logger.info(f"{self._get_log_prefix()} Created placeholder anchor message: ID={anchor_message.message_info.message_id}")
+            logger.info(
+                f"{self._get_log_prefix()} Created placeholder anchor message: ID={anchor_message.message_info.message_id}"
+            )
             return anchor_message
 
         except Exception as e:
@@ -579,7 +606,6 @@ class PFChatting:
         except Exception as e:
             logger.error(f"{self._get_log_prefix()} Error cleaning up thinking message {thinking_id}: {e}")
 
-
     async def _sender(self, thinking_id: str, anchor_message: MessageRecv, replier_result: Dict[str, Any]):
         """
         发送器 (Sender): 使用HeartFC_Chat的方法发送生成的回复。
@@ -611,13 +637,17 @@ class PFChatting:
 
                 # --- Handle associated emoji (if determined by tools) ---
                 if send_emoji:
-                    logger.info(f"{self._get_log_prefix()}[Sender-{thinking_id}] Sending associated emoji: {send_emoji}")
+                    logger.info(
+                        f"{self._get_log_prefix()}[Sender-{thinking_id}] Sending associated emoji: {send_emoji}"
+                    )
                     try:
                         # Use first_bot_msg as anchor if available, otherwise fallback to original anchor
                         emoji_anchor = first_bot_msg if first_bot_msg else anchor_message
                         await self.heartfc_chat._handle_emoji(emoji_anchor, response_set, send_emoji)
                     except Exception as e_emoji:
-                        logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}")
+                        logger.error(
+                            f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}"
+                        )
                         # Log error but don't fail the whole send process for emoji failure
 
                 # --- Update relationship ---
@@ -625,17 +655,20 @@ class PFChatting:
                     await self.heartfc_chat._update_relationship(anchor_message, response_set)
                     logger.debug(f"{self._get_log_prefix()}[Sender-{thinking_id}] Updated relationship.")
                 except Exception as e_rel:
-                    logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to update relationship: {e_rel}")
+                    logger.error(
+                        f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to update relationship: {e_rel}"
+                    )
                     # Log error but don't fail the whole send process for relationship update failure
 
             else:
                 # Sending failed (e.g., _send_response_messages found thinking message already gone)
                 send_success = False
-                 logger.warning(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send reply (maybe thinking message expired or was removed?).")
+                logger.warning(
+                    f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send reply (maybe thinking message expired or was removed?)."
+                )
                 # No need to clean up thinking message here, _send_response_messages implies it's gone or handled
                 raise RuntimeError("Sending reply failed, _send_response_messages returned None.")  # Signal failure
 
-
         except Exception as e:
             # Catch potential errors during sending or post-send actions
             logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Error during sending process: {e}")
@@ -647,7 +680,6 @@ class PFChatting:
 
         # No finally block needed for lock management
 
-
     async def shutdown(self):
         """
         Gracefully shuts down the PFChatting instance by cancelling the active loop task.
@@ -690,25 +722,38 @@ class PFChatting:
             prompt += "\n你当前没有特别的内部想法。\n"
 
         if observed_messages:
-            context_text = "\n".join([msg.get('detailed_plain_text', '') for msg in observed_messages if msg.get('detailed_plain_text')])
+            context_text = "\n".join(
+                [msg.get("detailed_plain_text", "") for msg in observed_messages if msg.get("detailed_plain_text")]
+            )
             prompt += "观察到的最新聊天内容如下：\n---\n"
             prompt += context_text[:1500]  # Limit context length
             prompt += "\n---\n"
         else:
             prompt += "当前没有观察到新的聊天内容。\n"
 
-        prompt += "\n请结合你的内部想法和观察到的聊天内容，分析情况并使用 'decide_reply_action' 工具来决定你的最终行动。\n"
+        prompt += (
+            "\n请结合你的内部想法和观察到的聊天内容，分析情况并使用 'decide_reply_action' 工具来决定你的最终行动。\n"
+        )
         prompt += "决策依据：\n"
         prompt += "1. 如果聊天内容无聊、与你无关、或者你的内部想法认为不适合回复，选择 'no_reply'。\n"
         prompt += "2. 如果聊天内容值得回应，且适合用文字表达（参考你的内部想法），选择 'text_reply'。\n"
-        prompt += "3. 如果聊天内容或你的内部想法适合用一个表情来回应，选择 'emoji_reply' 并提供表情主题 'emoji_query'。\n"
+        prompt += (
+            "3. 如果聊天内容或你的内部想法适合用一个表情来回应，选择 'emoji_reply' 并提供表情主题 'emoji_query'。\n"
+        )
         prompt += "4. 如果你已经回复过消息，也没有人又回复你，选择'no_reply'。"
         prompt += "必须调用 'decide_reply_action' 工具并提供 'action' 和 'reasoning'。"
 
         return prompt
 
     # --- 回复器 (Replier) 的定义 --- #
-    async def _replier_work(self, observed_messages: List[dict], anchor_message: MessageRecv, thinking_id: str, current_mind: Optional[str], send_emoji: str) -> Optional[Dict[str, Any]]:
+    async def _replier_work(
+        self,
+        observed_messages: List[dict],
+        anchor_message: MessageRecv,
+        thinking_id: str,
+        current_mind: Optional[str],
+        send_emoji: str,
+    ) -> Optional[Dict[str, Any]]:
         """
         回复器 (Replier): 核心逻辑用于生成回复。
         被 _run_pf_loop 直接调用和 await。
@@ -724,7 +769,7 @@ class PFChatting:
             # 注意：实际的生成调用是在 self.heartfc_chat.gpt.generate_response 中
             response_set = await self.heartfc_chat.gpt.generate_response(
                 anchor_message,
-                thinking_id
+                thinking_id,
                 # current_mind 不再直接传递给 gpt.generate_response，
                 # 因为 generate_response 内部会通过 thinking_id 或其他方式获取所需上下文
             )