feat：成功融合reasoning和HFC，由主心流统一调控

src/MaiBot0.6roadmap.md

@@ -0,0 +1,16 @@
+MaiCore/MaiBot 0.6路线图 draft
+
+0.6.3：解决0.6.x版本核心问题，改进功能
+主要功能加入
+LPMM全面替代旧知识库
+采用新的HFC回复模式，取代旧心流
+合并推理模式和心流模式，根据麦麦自己决策回复模式
+提供新的表情包系统
+
+0.6.4：提升用户体验，交互优化
+加入webui
+提供麦麦 API
+修复prompt建构的各种问题
+修复各种bug
+调整代码文件结构，重构部分落后设计
+

src/config/config.py

@@ -28,7 +28,7 @@ logger = get_module_logger("config", config=config_config)
 # 考虑到，实际上配置文件中的mai_version是不会自动更新的,所以采用硬编码
 is_test = True
 mai_version_main = "0.6.3"
-mai_version_fix = "snapshot-2"
+mai_version_fix = "snapshot-3"
 
 if mai_version_fix:
     if is_test:

src/heart_flow/README.md

@@ -80,3 +80,15 @@ await heartflow.heartflow_start_working()
 1. 子心流会在长时间不活跃后自动清理
 2. 需要合理配置更新间隔以平衡性能和响应速度
 3. 观察系统会限制消息处理数量以避免过载 
+
+
+更新：
+把聊天控制移动到心流下吧
+首先心流要根据日程以及当前状况判定总体状态MaiStateInfo
+
+然后根据每个子心流的运行情况，给子心流分配聊天资源（ChatStateInfo：ABSENT CHAT 或者 FOCUS）
+
+子心流负责根据状态进行执行
+
+1.将interest.py进行拆分，class InterestChatting 将会在 sub_heartflow中声明，每个sub_heartflow都会所属一个InterestChatting
+class InterestManager 将会在heartflow中声明，成为heartflow的一个组件，伴随heartflow产生

src/heart_flow/Update.md

@@ -0,0 +1,11 @@
+
+更新：
+把聊天控制移动到心流下吧
+首先心流要根据日程以及当前状况判定总体状态MaiStateInfo
+
+然后根据每个子心流的运行情况，给子心流分配聊天资源（ChatStateInfo：ABSENT CHAT 或者 FOCUS）
+
+子心流负责根据状态进行执行
+
+1.将interest.py进行拆分，class InterestChatting 将会在 sub_heartflow中声明，每个sub_heartflow都会所属一个InterestChatting
+class InterestManager 将会在heartflow中声明，成为heartflow的一个组件，伴随heartflow产生

src/heart_flow/heartflow.py

@@ -5,12 +5,16 @@ from src.config.config import global_config
 from src.plugins.schedule.schedule_generator import bot_schedule
 from src.plugins.utils.prompt_builder import Prompt, global_prompt_manager
 import asyncio
-from src.common.logger import get_module_logger, LogConfig, HEARTFLOW_STYLE_CONFIG  # noqa: E402
+from src.common.logger import get_module_logger, LogConfig, HEARTFLOW_STYLE_CONFIG  # 修改
 from src.individuality.individuality import Individuality
 import time
 import random
 from typing import Dict, Any, Optional
 import traceback
+import enum
+import os  # 新增
+import json  # 新增
+from src.plugins.chat.chat_stream import chat_manager  # 新增
 
 heartflow_config = LogConfig(
     # 使用海马体专用样式
@@ -41,80 +45,262 @@ def init_prompt():
     Prompt(prompt, "mind_summary_prompt")
 
 
-class CurrentState:
+# --- 新增：从 interest.py 移动过来的常量 ---
+LOG_DIRECTORY = "logs/interest"
+HISTORY_LOG_FILENAME = "interest_history.log"
+CLEANUP_INTERVAL_SECONDS = 1200  # 清理任务运行间隔 (例如：20分钟) - 保持与 interest.py 一致
+INACTIVE_THRESHOLD_SECONDS = 1200  # 不活跃时间阈值 (例如：20分钟) - 保持与 interest.py 一致
+LOG_INTERVAL_SECONDS = 3  # 日志记录间隔 (例如：3秒) - 保持与 interest.py 一致
+# --- 结束新增常量 ---
+
+
+# 新增 ChatStatus 枚举
+class MaiState(enum.Enum):
+    """
+    聊天状态:
+    OFFLINE: 不在线：回复概率极低，不会进行任何聊天
+    PEEKING: 看一眼手机：回复概率较低，会进行一些普通聊天
+    NORMAL_CHAT: 正常聊天：回复概率较高，会进行一些普通聊天和少量的专注聊天
+    FOCUSED_CHAT: 专注聊天：回复概率极高，会进行专注聊天和少量的普通聊天
+    """
+
+    OFFLINE = "不在线"
+    PEEKING = "看一眼手机"
+    NORMAL_CHAT = "正常聊天"
+    FOCUSED_CHAT = "专注聊天"
+
+    def get_normal_chat_max_num(self):
+        if self == MaiState.OFFLINE:
+            return 0
+        elif self == MaiState.PEEKING:
+            return 1
+        elif self == MaiState.NORMAL_CHAT:
+            return 3
+        elif self == MaiState.FOCUSED_CHAT:
+            return 2
+
+    def get_focused_chat_max_num(self):
+        if self == MaiState.OFFLINE:
+            return 0
+        elif self == MaiState.PEEKING:
+            return 0
+        elif self == MaiState.NORMAL_CHAT:
+            return 1
+        elif self == MaiState.FOCUSED_CHAT:
+            return 2
+
+
+class MaiStateInfo:
     def __init__(self):
         self.current_state_info = ""
 
-        self.chat_status = "IDLE"
+        # 使用枚举类型初始化状态，默认为不在线
+        self.mai_status: MaiState = MaiState.OFFLINE
+
+        self.normal_chatting = []
+        self.focused_chatting = []
 
         self.mood_manager = MoodManager()
         self.mood = self.mood_manager.get_prompt()
 
-        self.attendance_factor = 0
-        self.engagement_factor = 0
-
     def update_current_state_info(self):
         self.current_state_info = self.mood_manager.get_current_mood()
 
+    # 新增更新聊天状态的方法
+    def update_mai_status(self, new_status: MaiState):
+        """更新聊天状态"""
+        if isinstance(new_status, MaiState):
+            self.mai_status = new_status
+            logger.info(f"麦麦状态更新为: {self.mai_status.value}")
+        else:
+            logger.warning(f"尝试设置无效的麦麦状态: {new_status}")
+
 
 class Heartflow:
     def __init__(self):
         self.current_mind = "你什么也没想"
         self.past_mind = []
-        self.current_state: CurrentState = CurrentState()
+        self.current_state: MaiStateInfo = MaiStateInfo()
         self.llm_model = LLMRequest(
             model=global_config.llm_heartflow, temperature=0.6, max_tokens=1000, request_type="heart_flow"
         )
 
         self._subheartflows: Dict[Any, SubHeartflow] = {}
 
-    async def _cleanup_inactive_subheartflows(self):
-        """定期清理不活跃的子心流"""
+        # --- 新增：日志和清理相关属性 (从 InterestManager 移动) ---
+        self._history_log_file_path = os.path.join(LOG_DIRECTORY, HISTORY_LOG_FILENAME)
+        self._ensure_log_directory()  # 初始化时确保目录存在
+        self._cleanup_task: Optional[asyncio.Task] = None
+        self._logging_task: Optional[asyncio.Task] = None
+        # 注意：衰减任务 (_decay_task) 不再需要，衰减在 SubHeartflow 的 InterestChatting 内部处理
+        # --- 结束新增属性 ---
+
+    def _ensure_log_directory(self):  # 新增方法 (从 InterestManager 移动)
+        """确保日志目录存在"""
+        # 移除 try-except 块，根据用户要求
+        os.makedirs(LOG_DIRECTORY, exist_ok=True)
+        logger.info(f"Log directory '{LOG_DIRECTORY}' ensured.")
+        # except OSError as e:
+        #     logger.error(f"Error creating log directory '{LOG_DIRECTORY}': {e}")
+
+    async def _periodic_cleanup_task(
+        self, interval_seconds: int, max_age_seconds: int
+    ):  # 新增方法 (从 InterestManager 移动和修改)
+        """后台清理任务的异步函数"""
         while True:
+            await asyncio.sleep(interval_seconds)
+            logger.info(f"[Heartflow] 运行定期清理 (间隔: {interval_seconds}秒)...")
+            self.cleanup_inactive_subheartflows(max_age_seconds=max_age_seconds)  # 调用 Heartflow 自己的清理方法
+
+    async def _periodic_log_task(self, interval_seconds: int):  # 新增方法 (从 InterestManager 移动和修改)
+        """后台日志记录任务的异步函数 (记录所有子心流的兴趣历史数据)"""
+        while True:
+            await asyncio.sleep(interval_seconds)
+            try:
+                current_timestamp = time.time()
+                all_interest_states = self.get_all_interest_states()  # 获取所有子心流的兴趣状态
+
+                # 以追加模式打开历史日志文件
+                # 移除 try-except IO 块，根据用户要求
+                with open(self._history_log_file_path, "a", encoding="utf-8") as f:
+                    count = 0
+                    # 创建 items 快照以安全迭代
+                    items_snapshot = list(all_interest_states.items())
+                    for stream_id, state in items_snapshot:
+                        # 从 chat_manager 获取 group_name
+                        group_name = stream_id  # 默认值
+                        try:
+                            chat_stream = chat_manager.get_stream(stream_id)
+                            if chat_stream and chat_stream.group_info:
+                                group_name = chat_stream.group_info.group_name
+                            elif chat_stream and not chat_stream.group_info:  # 处理私聊
+                                group_name = (
+                                    f"私聊_{chat_stream.user_info.user_nickname}"
+                                    if chat_stream.user_info
+                                    else stream_id
+                                )
+                        except Exception:
+                            # 不记录警告，避免刷屏，使用默认 stream_id 即可
+                            # logger.warning(f"Could not get group name for stream_id {stream_id}: {e}")
+                            pass  # 静默处理
+
+                        log_entry = {
+                            "timestamp": round(current_timestamp, 2),
+                            "stream_id": stream_id,
+                            "interest_level": state.get("interest_level", 0.0),  # 使用 get 获取，提供默认值
+                            "group_name": group_name,
+                            "reply_probability": state.get("current_reply_probability", 0.0),  # 使用 get 获取
+                            "is_above_threshold": state.get("is_above_threshold", False),  # 使用 get 获取
+                        }
+                        # 将每个条目作为单独的 JSON 行写入
+                        f.write(json.dumps(log_entry, ensure_ascii=False) + "\n")
+                        count += 1
+                # logger.debug(f"[Heartflow] Successfully appended {count} interest history entries to {self._history_log_file_path}")
+
+            # except IOError as e:
+            #     logger.error(f"[Heartflow] Error writing interest history log to {self._history_log_file_path}: {e}")
+            except Exception as e:  # 保留对其他异常的捕获
+                logger.error(f"[Heartflow] Unexpected error during periodic history logging: {e}")
+                logger.error(traceback.format_exc())  # 记录 traceback
+
+    def get_all_interest_states(self) -> Dict[str, Dict]:  # 新增方法
+        """获取所有活跃子心流的当前兴趣状态"""
+        states = {}
+        # 创建副本以避免在迭代时修改字典
+        items_snapshot = list(self._subheartflows.items())
+        for stream_id, subheartflow in items_snapshot:
+            try:
+                # 从 SubHeartflow 获取其 InterestChatting 的状态
+                states[stream_id] = subheartflow.get_interest_state()
+            except Exception as e:
+                logger.warning(f"[Heartflow] Error getting interest state for subheartflow {stream_id}: {e}")
+        return states
+
+    def cleanup_inactive_subheartflows(self, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):  # 修改此方法以使用兴趣时间
+        """
+        清理长时间不活跃的子心流记录 (基于兴趣交互时间)
+        max_age_seconds: 超过此时间未通过兴趣系统交互的将被清理
+        """
         current_time = time.time()
-            inactive_subheartflows_ids = []  # 修改变量名以清晰表示存储的是ID
+        keys_to_remove = []
+        _initial_count = len(self._subheartflows)
 
-            # 检查所有子心流
-            # 使用 list(self._subheartflows.items()) 避免在迭代时修改字典
-            for subheartflow_id, subheartflow in list(self._subheartflows.items()):
-                if (
-                    current_time - subheartflow.last_active_time > global_config.sub_heart_flow_stop_time
-                ):  # 10分钟 = 600秒
-                    logger.info(f"发现不活跃的子心流: {subheartflow_id}, 准备清理。")
-                    # 1. 标记子心流让其后台任务停止
+        # 创建副本以避免在迭代时修改字典
+        items_snapshot = list(self._subheartflows.items())
+
+        for subheartflow_id, subheartflow in items_snapshot:
+            should_remove = False
+            reason = ""
+            # 检查 InterestChatting 的最后交互时间
+            last_interaction = subheartflow.interest_chatting.last_interaction_time
+            if max_age_seconds is not None and (current_time - last_interaction) > max_age_seconds:
+                should_remove = True
+                reason = (
+                    f"interest inactive time ({current_time - last_interaction:.0f}s) > max age ({max_age_seconds}s)"
+                )
+
+            if should_remove:
+                keys_to_remove.append(subheartflow_id)
+                stream_name = chat_manager.get_stream_name(subheartflow_id) or subheartflow_id  # 获取流名称
+                logger.debug(f"[Heartflow] Marking stream {stream_name} for removal. Reason: {reason}")
+
+                # 标记子心流让其后台任务停止 (如果其后台任务还在运行)
                 subheartflow.should_stop = True
-                    # 2. 将ID添加到待清理列表
-                    inactive_subheartflows_ids.append(subheartflow_id)
 
-            # 清理不活跃的子心流 (从字典中移除)
-            for subheartflow_id in inactive_subheartflows_ids:
-                if subheartflow_id in self._subheartflows:
-                    del self._subheartflows[subheartflow_id]
-                    logger.info(f"已从主心流移除子心流: {subheartflow_id}")
+        if keys_to_remove:
+            logger.info(f"[Heartflow] 清理识别到 {len(keys_to_remove)} 个不活跃的流。")
+            for key in keys_to_remove:
+                if key in self._subheartflows:
+                    # 尝试取消子心流的后台任务
+                    task_to_cancel = self._subheartflows[key].task
+                    if task_to_cancel and not task_to_cancel.done():
+                        task_to_cancel.cancel()
+                        logger.debug(f"[Heartflow] Cancelled background task for subheartflow {key}")
+                    # 从字典中删除
+                    del self._subheartflows[key]
+                    stream_name = chat_manager.get_stream_name(key) or key  # 获取流名称
+                    logger.debug(f"[Heartflow] 移除了流: {stream_name}")
+            final_count = len(self._subheartflows)  # 直接获取当前长度
+            logger.info(f"[Heartflow] 清理完成。移除了 {len(keys_to_remove)} 个流。当前数量: {final_count}")
         else:
-                    logger.warning(f"尝试移除子心流 {subheartflow_id} 时发现其已被移除。")
+            # logger.info(f"[Heartflow] 清理完成。没有流符合移除条件。当前数量: {initial_count}") # 减少日志噪音
+            pass
 
-            await asyncio.sleep(30)  # 每分钟检查一次
-
-    async def _sub_heartflow_update(self):
+    async def _sub_heartflow_update(self):  # 这个任务目前作用不大，可以考虑移除或赋予新职责
         while True:
             # 检查是否存在子心流
             if not self._subheartflows:
                 # logger.info("当前没有子心流，等待新的子心流创建...")
-                await asyncio.sleep(30)  # 每分钟检查一次是否有新的子心流
+                await asyncio.sleep(30)  # 短暂休眠
                 continue
 
-            # await self.do_a_thinking()
-            # await asyncio.sleep(global_config.heart_flow_update_interval * 3)  # 5分钟思考一次
-
+            # 当前无实际操作，只是等待
             await asyncio.sleep(300)
 
     async def heartflow_start_working(self):
-        # 启动清理任务
-        asyncio.create_task(self._cleanup_inactive_subheartflows())
+        # 启动清理任务 (使用新的 periodic_cleanup_task)
+        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,
+                )
+            )
+            logger.info(
+                f"[Heartflow] 已创建定期清理任务。间隔: {CLEANUP_INTERVAL_SECONDS}s, 不活跃阈值: {INACTIVE_THRESHOLD_SECONDS}s"
+            )
+        else:
+            logger.warning("[Heartflow] 跳过创建清理任务: 任务已在运行或存在。")
 
-        # 启动子心流更新任务
-        asyncio.create_task(self._sub_heartflow_update())
+        # 启动日志任务 (使用新的 periodic_log_task)
+        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))
+            logger.info(f"[Heartflow] 已创建定期日志任务。间隔: {LOG_INTERVAL_SECONDS}s")
+        else:
+            logger.warning("[Heartflow] 跳过创建日志任务: 任务已在运行或存在。")
+
+        # (可选) 启动旧的子心流更新任务，如果它还有用的话
+        # asyncio.create_task(self._sub_heartflow_update())
 
     @staticmethod
     async def _update_current_state():
@@ -133,10 +319,14 @@ class Heartflow:
         prompt_personality += personality_core
 
         personality_sides = individuality.personality.personality_sides
+        # 检查列表是否为空
+        if personality_sides:
             random.shuffle(personality_sides)
             prompt_personality += f",{personality_sides[0]}"
 
         identity_detail = individuality.identity.identity_detail
+        # 检查列表是否为空
+        if identity_detail:
             random.shuffle(identity_detail)
             prompt_personality += f",{identity_detail[0]}"
 
@@ -144,135 +334,134 @@ class Heartflow:
 
         current_thinking_info = self.current_mind
         mood_info = self.current_state.mood
-        related_memory_info = "memory"
+        related_memory_info = "memory"  # TODO: 替换为实际的记忆获取逻辑
         try:
-            sub_flows_info = await self.get_all_subheartflows_minds()
+            sub_flows_info = await self.get_all_subheartflows_minds_summary()  # 修改为调用汇总方法
         except Exception as e:
-            logger.error(f"获取子心流的想法失败: {e}")
-            return
+            logger.error(f"[Heartflow] 获取子心流想法汇总失败: {e}")
+            logger.error(traceback.format_exc())
+            sub_flows_info = "(获取子心流想法时出错)"  # 提供默认值
 
         schedule_info = bot_schedule.get_current_num_task(num=4, time_info=True)
 
-        # prompt = ""
-        # prompt += f"你刚刚在做的事情是：{schedule_info}\n"
-        # prompt += f"{personality_info}\n"
-        # prompt += f"你想起来{related_memory_info}。"
-        # prompt += f"刚刚你的主要想法是{current_thinking_info}。"
-        # prompt += f"你还有一些小想法，因为你在参加不同的群聊天，这是你正在做的事情：{sub_flows_info}\n"
-        # prompt += f"你现在{mood_info}。"
-        # prompt += "现在你接下去继续思考，产生新的想法，但是要基于原有的主要想法，不要分点输出，"
-        # prompt += "输出连贯的内心独白，不要太长，但是记得结合上述的消息，关注新内容:"
         prompt = (await global_prompt_manager.get_prompt_async("thinking_prompt")).format(
-            schedule_info, personality_info, related_memory_info, current_thinking_info, sub_flows_info, mood_info
+            schedule_info=schedule_info,  # 使用关键字参数确保正确格式化
+            personality_info=personality_info,
+            related_memory_info=related_memory_info,
+            current_thinking_info=current_thinking_info,
+            sub_flows_info=sub_flows_info,
+            mood_info=mood_info,
         )
 
         try:
             response, reasoning_content = await self.llm_model.generate_response_async(prompt)
-        except Exception as e:
-            logger.error(f"内心独白获取失败: {e}")
-            return
-        self.update_current_mind(response)
+            if not response:
+                logger.warning("[Heartflow] 内心独白 LLM 返回空结果。")
+                response = "(暂时没什么想法...)"  # 提供默认想法
 
-        self.current_mind = response
+            self.update_current_mind(response)  # 更新主心流想法
             logger.info(f"麦麦的总体脑内状态：{self.current_mind}")
-        # logger.info("麦麦想了想，当前活动:")
-        # await bot_schedule.move_doing(self.current_mind)
 
-        for _, subheartflow in self._subheartflows.items():
+            # 更新所有子心流的主心流信息
+            items_snapshot = list(self._subheartflows.items())  # 创建快照
+            for _, subheartflow in items_snapshot:
                 subheartflow.main_heartflow_info = response
 
+        except Exception as e:
+            logger.error(f"[Heartflow] 内心独白获取失败: {e}")
+            logger.error(traceback.format_exc())
+            # 此处不返回，允许程序继续执行，但主心流想法未更新
+
     def update_current_mind(self, response):
         self.past_mind.append(self.current_mind)
         self.current_mind = response
 
-    async def get_all_subheartflows_minds(self):
-        sub_minds = ""
-        for _, subheartflow in self._subheartflows.items():
-            sub_minds += subheartflow.current_mind
+    async def get_all_subheartflows_minds_summary(self):  # 重命名并修改
+        """获取所有子心流的当前想法，并进行汇总"""
+        sub_minds_list = []
+        # 创建快照
+        items_snapshot = list(self._subheartflows.items())
+        for _, subheartflow in items_snapshot:
+            sub_minds_list.append(subheartflow.current_mind)
 
-        return await self.minds_summary(sub_minds)
+        if not sub_minds_list:
+            return "(当前没有活跃的子心流想法)"
+
+        minds_str = "\n".join([f"- {mind}" for mind in sub_minds_list])  # 格式化为列表
+
+        # 调用 LLM 进行汇总
+        return await self.minds_summary(minds_str)
 
     async def minds_summary(self, minds_str):
+        """使用 LLM 汇总子心流的想法字符串"""
         # 开始构建prompt
         prompt_personality = "你"
-        # person
         individuality = Individuality.get_instance()
-
-        personality_core = individuality.personality.personality_core
-        prompt_personality += personality_core
-
-        personality_sides = individuality.personality.personality_sides
-        random.shuffle(personality_sides)
-        prompt_personality += f",{personality_sides[0]}"
-
-        identity_detail = individuality.identity.identity_detail
-        random.shuffle(identity_detail)
-        prompt_personality += f",{identity_detail[0]}"
+        prompt_personality += individuality.personality.personality_core
+        if individuality.personality.personality_sides:
+            prompt_personality += f",{random.choice(individuality.personality.personality_sides)}"  # 随机选一个
+        if individuality.identity.identity_detail:
+            prompt_personality += f",{random.choice(individuality.identity.identity_detail)}"  # 随机选一个
 
         personality_info = prompt_personality
         mood_info = self.current_state.mood
+        bot_name = global_config.BOT_NICKNAME  # 使用全局配置中的机器人昵称
 
-        # prompt = ""
-        # prompt += f"{personality_info}\n"
-        # prompt += f"现在{global_config.BOT_NICKNAME}的想法是：{self.current_mind}\n"
-        # prompt += f"现在{global_config.BOT_NICKNAME}在qq群里进行聊天，聊天的话题如下：{minds_str}\n"
-        # prompt += f"你现在{mood_info}\n"
-        # prompt += """现在请你总结这些聊天内容，注意关注聊天内容对原有的想法的影响，输出连贯的内心独白
-        # 不要太长，但是记得结合上述的消息，要记得你的人设，关注新内容:"""
         prompt = (await global_prompt_manager.get_prompt_async("mind_summary_prompt")).format(
-            personality_info, global_config.BOT_NICKNAME, self.current_mind, minds_str, mood_info
+            personality_info=personality_info,  # 使用关键字参数
+            bot_name=bot_name,
+            current_mind=self.current_mind,
+            minds_str=minds_str,
+            mood_info=mood_info,
         )
 
+        try:
             response, reasoning_content = await self.llm_model.generate_response_async(prompt)
-
+            if not response:
+                logger.warning("[Heartflow] 想法汇总 LLM 返回空结果。")
+                return "(想法汇总失败...)"
             return response
+        except Exception as e:
+            logger.error(f"[Heartflow] 想法汇总失败: {e}")
+            logger.error(traceback.format_exc())
+            return "(想法汇总时发生错误...)"
 
     async def create_subheartflow(self, subheartflow_id: Any) -> Optional[SubHeartflow]:
         """
         获取或创建一个新的SubHeartflow实例。
-
-        如果实例已存在，则直接返回。
-        如果不存在，则创建实例、观察对象、启动后台任务，并返回新实例。
-        创建过程中发生任何错误将返回 None。
-
-        Args:
-            subheartflow_id: 用于标识子心流的ID (例如群聊ID)。
-
-        Returns:
-            对应的 SubHeartflow 实例，如果创建失败则返回 None。
+        (主要逻辑不变，InterestChatting 现在在 SubHeartflow 内部创建)
         """
-        # 检查是否已存在
         existing_subheartflow = self._subheartflows.get(subheartflow_id)
         if existing_subheartflow:
-            logger.debug(f"返回已存在的 subheartflow: {subheartflow_id}")
+            # 如果已存在，确保其 last_active_time 更新 (如果需要的话)
+            # existing_subheartflow.last_active_time = time.time() # 移除，活跃时间由实际操作更新
+            # logger.debug(f"[Heartflow] 返回已存在的 subheartflow: {subheartflow_id}")
             return existing_subheartflow
 
-        # 如果不存在，则创建新的
-        logger.info(f"尝试创建新的 subheartflow: {subheartflow_id}")
+        logger.info(f"[Heartflow] 尝试创建新的 subheartflow: {subheartflow_id}")
         try:
+            # 创建 SubHeartflow，它内部会创建 InterestChatting
             subheartflow = SubHeartflow(subheartflow_id)
 
             # 创建并初始化观察对象
-            logger.debug(f"为 {subheartflow_id} 创建 observation")
+            logger.debug(f"[Heartflow] 为 {subheartflow_id} 创建 observation")
             observation = ChattingObservation(subheartflow_id)
-            await observation.initialize()  # 等待初始化完成
+            await observation.initialize()
             subheartflow.add_observation(observation)
-            logger.debug(f"为 {subheartflow_id} 添加 observation 成功")
+            logger.debug(f"[Heartflow] 为 {subheartflow_id} 添加 observation 成功")
 
-            # 创建并存储后台任务
+            # 创建并存储后台任务 (SubHeartflow 自己的后台任务)
             subheartflow.task = asyncio.create_task(subheartflow.subheartflow_start_working())
-            logger.debug(f"为 {subheartflow_id} 创建后台任务成功")
+            logger.debug(f"[Heartflow] 为 {subheartflow_id} 创建后台任务成功")
 
             # 添加到管理字典
             self._subheartflows[subheartflow_id] = subheartflow
-            logger.info(f"添加 subheartflow {subheartflow_id} 成功")
+            logger.info(f"[Heartflow] 添加 subheartflow {subheartflow_id} 成功")
             return subheartflow
 
         except Exception as e:
-            # 记录详细错误信息
-            logger.error(f"创建 subheartflow {subheartflow_id} 失败: {e}")
-            logger.error(traceback.format_exc())  # 记录完整的 traceback
-            # 考虑是否需要更具体的错误处理或资源清理逻辑
+            logger.error(f"[Heartflow] 创建 subheartflow {subheartflow_id} 失败: {e}")
+            logger.error(traceback.format_exc())
             return None
 
     def get_subheartflow(self, observe_chat_id: Any) -> Optional[SubHeartflow]:

src/heart_flow/sub_heartflow.py

@@ -4,21 +4,20 @@ from src.plugins.moods.moods import MoodManager
 from src.plugins.models.utils_model import LLMRequest
 from src.config.config import global_config
 import time
-from typing import Optional, List
+from typing import Optional, List, Dict
 import traceback
 from src.plugins.chat.utils import parse_text_timestamps
-
-# from src.plugins.schedule.schedule_generator import bot_schedule
-# from src.plugins.memory_system.Hippocampus import HippocampusManager
+import enum
 from src.common.logger import get_module_logger, LogConfig, SUB_HEARTFLOW_STYLE_CONFIG  # noqa: E402
-
-# from src.plugins.chat.utils import get_embedding
-# from src.common.database import db
-# from typing import Union
 from src.individuality.individuality import Individuality
 import random
 from src.plugins.person_info.relationship_manager import relationship_manager
 from ..plugins.utils.prompt_builder import Prompt, global_prompt_manager
+from src.plugins.chat.message import MessageRecv
+import math
+
+# 定义常量 (从 interest.py 移动过来)
+MAX_INTEREST = 15.0
 
 subheartflow_config = LogConfig(
     # 使用海马体专用样式
@@ -27,6 +26,12 @@ subheartflow_config = LogConfig(
 )
 logger = get_module_logger("subheartflow", config=subheartflow_config)
 
+interest_log_config = LogConfig(
+    console_format=SUB_HEARTFLOW_STYLE_CONFIG["console_format"],
+    file_format=SUB_HEARTFLOW_STYLE_CONFIG["file_format"],
+)
+interest_logger = get_module_logger("InterestChatting", config=interest_log_config)
+
 
 def init_prompt():
     prompt = ""
@@ -48,16 +53,166 @@ def init_prompt():
     Prompt(prompt, "sub_heartflow_prompt_before")
 
 
-class CurrentState:
+class ChatState(enum.Enum):
+    ABSENT = "不参与"
+    CHAT = "闲聊"
+    FOCUSED = "专注"
+
+
+class ChatStateInfo:
     def __init__(self):
         self.willing = 0
-        self.current_state_info = ""
+
+        self.chat_status: ChatState = ChatState.ABSENT
 
         self.mood_manager = MoodManager()
         self.mood = self.mood_manager.get_prompt()
 
-    def update_current_state_info(self):
-        self.current_state_info = self.mood_manager.get_current_mood()
+    def update_chat_state_info(self):
+        self.chat_state_info = self.mood_manager.get_current_mood()
+
+
+base_reply_probability = 0.05
+probability_increase_rate_per_second = 0.08
+max_reply_probability = 1
+
+
+class InterestChatting:
+    def __init__(
+        self,
+        decay_rate=global_config.default_decay_rate_per_second,
+        max_interest=MAX_INTEREST,
+        trigger_threshold=global_config.reply_trigger_threshold,
+        base_reply_probability=base_reply_probability,
+        increase_rate=probability_increase_rate_per_second,
+        decay_factor=global_config.probability_decay_factor_per_second,
+        max_probability=max_reply_probability,
+    ):
+        self.interest_level: float = 0.0
+        self.last_update_time: float = time.time()
+        self.decay_rate_per_second: float = decay_rate
+        self.max_interest: float = max_interest
+        self.last_interaction_time: float = self.last_update_time
+
+        self.trigger_threshold: float = trigger_threshold
+        self.base_reply_probability: float = base_reply_probability
+        self.probability_increase_rate: float = increase_rate
+        self.probability_decay_factor: float = decay_factor
+        self.max_reply_probability: float = max_probability
+        self.current_reply_probability: float = 0.0
+        self.is_above_threshold: bool = False
+
+        self.interest_dict: Dict[str, tuple[MessageRecv, float, bool]] = {}
+
+    def add_interest_dict(self, message: MessageRecv, interest_value: float, is_mentioned: bool):
+        self.interest_dict[message.message_info.message_id] = (message, interest_value, is_mentioned)
+        self.last_interaction_time = time.time()
+
+    def _calculate_decay(self, current_time: float):
+        time_delta = current_time - self.last_update_time
+        if time_delta > 0:
+            old_interest = self.interest_level
+            if self.interest_level < 1e-9:
+                self.interest_level = 0.0
+            else:
+                if self.decay_rate_per_second <= 0:
+                    interest_logger.warning(
+                        f"InterestChatting encountered non-positive decay rate: {self.decay_rate_per_second}. Setting interest to 0."
+                    )
+                    self.interest_level = 0.0
+                elif self.interest_level < 0:
+                    interest_logger.warning(
+                        f"InterestChatting encountered negative interest level: {self.interest_level}. Setting interest to 0."
+                    )
+                    self.interest_level = 0.0
+                else:
+                    try:
+                        decay_factor = math.pow(self.decay_rate_per_second, time_delta)
+                        self.interest_level *= decay_factor
+                    except ValueError as e:
+                        interest_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
+
+            if old_interest != self.interest_level:
+                self.last_update_time = current_time
+
+    def _update_reply_probability(self, current_time: float):
+        time_delta = current_time - self.last_update_time
+        if time_delta <= 0:
+            return
+
+        currently_above = self.interest_level >= self.trigger_threshold
+
+        if currently_above:
+            if not self.is_above_threshold:
+                self.current_reply_probability = self.base_reply_probability
+                interest_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:
+                increase_amount = self.probability_increase_rate * time_delta
+                self.current_reply_probability += increase_amount
+
+            self.current_reply_probability = min(self.current_reply_probability, self.max_reply_probability)
+
+        else:
+            if 0 < self.probability_decay_factor < 1:
+                decay_multiplier = math.pow(self.probability_decay_factor, time_delta)
+                self.current_reply_probability *= decay_multiplier
+                if self.current_reply_probability < 1e-6:
+                    self.current_reply_probability = 0.0
+            elif self.probability_decay_factor <= 0:
+                if self.current_reply_probability > 0:
+                    interest_logger.warning(f"无效的衰减因子 ({self.probability_decay_factor}). 设置概率为0.")
+                    self.current_reply_probability = 0.0
+
+            self.current_reply_probability = max(self.current_reply_probability, 0.0)
+
+        self.is_above_threshold = currently_above
+
+    def increase_interest(self, current_time: float, value: float):
+        self._update_reply_probability(current_time)
+        self._calculate_decay(current_time)
+        self.interest_level += value
+        self.interest_level = min(self.interest_level, self.max_interest)
+        self.last_update_time = current_time
+        self.last_interaction_time = current_time
+
+    def decrease_interest(self, current_time: float, value: float):
+        self._update_reply_probability(current_time)
+        self.interest_level -= value
+        self.interest_level = max(self.interest_level, 0.0)
+        self.last_update_time = current_time
+        self.last_interaction_time = current_time
+
+    def get_interest(self) -> float:
+        current_time = time.time()
+        self._update_reply_probability(current_time)
+        self._calculate_decay(current_time)
+        self.last_update_time = current_time
+        return self.interest_level
+
+    def get_state(self) -> dict:
+        interest = self.get_interest()
+        return {
+            "interest_level": round(interest, 2),
+            "last_update_time": self.last_update_time,
+            "current_reply_probability": round(self.current_reply_probability, 4),
+            "is_above_threshold": self.is_above_threshold,
+            "last_interaction_time": self.last_interaction_time,
+        }
+
+    def should_evaluate_reply(self) -> bool:
+        current_time = time.time()
+        self._update_reply_probability(current_time)
+
+        if self.current_reply_probability > 0:
+            trigger = random.random() < self.current_reply_probability
+            return trigger
+        else:
+            return False
 
 
 class SubHeartflow:
@@ -66,7 +221,10 @@ class SubHeartflow:
 
         self.current_mind = "你什么也没想"
         self.past_mind = []
-        self.current_state: CurrentState = CurrentState()
+        self.chat_state: ChatStateInfo = ChatStateInfo()
+
+        self.interest_chatting = InterestChatting()
+
         self.llm_model = LLMRequest(
             model=global_config.llm_sub_heartflow,
             temperature=global_config.llm_sub_heartflow["temp"],
@@ -123,7 +281,7 @@ class SubHeartflow:
         self.last_active_time = time.time()  # 更新最后激活时间戳
 
         current_thinking_info = self.current_mind
-        mood_info = self.current_state.mood
+        mood_info = self.chat_state.mood
         observation = self._get_primary_observation()
 
         # --- 获取观察信息 --- #
@@ -255,6 +413,26 @@ class SubHeartflow:
         logger.warning(f"SubHeartflow {self.subheartflow_id} 没有找到有效的 ChattingObservation")
         return None
 
+    def get_interest_state(self) -> dict:
+        """获取当前兴趣状态"""
+        return self.interest_chatting.get_state()
+
+    def get_interest_level(self) -> float:
+        """获取当前兴趣等级"""
+        return self.interest_chatting.get_interest()
+
+    def should_evaluate_reply(self) -> bool:
+        """判断是否应该评估回复"""
+        return self.interest_chatting.should_evaluate_reply()
+
+    def add_interest_dict_entry(self, message: MessageRecv, interest_value: float, is_mentioned: bool):
+        """添加兴趣字典条目"""
+        self.interest_chatting.add_interest_dict(message, interest_value, is_mentioned)
+
+    def get_interest_dict(self) -> Dict[str, tuple[MessageRecv, float, bool]]:
+        """获取兴趣字典"""
+        return self.interest_chatting.interest_dict
+
 
 init_prompt()
 # subheartflow = SubHeartflow()

src/main.py

@@ -17,7 +17,6 @@ from .common.logger import get_module_logger
 from .plugins.remote import heartbeat_thread  # noqa: F401
 from .individuality.individuality import Individuality
 from .common.server import global_server
-from .plugins.chat_module.heartFC_chat.interest import InterestManager
 from .plugins.chat_module.heartFC_chat.heartFC_controler import HeartFCController
 
 logger = get_module_logger("main")
@@ -112,11 +111,6 @@ class MainSystem:
             asyncio.create_task(heartflow.heartflow_start_working())
             logger.success("心流系统启动成功")
 
-            # 启动 InterestManager 的后台任务
-            interest_manager = InterestManager()  # 获取单例
-            await interest_manager.start_background_tasks()
-            logger.success("兴趣管理器后台任务启动成功")
-
             # 初始化并独立启动 HeartFCController
             HeartFCController()
             heartfc_chat_instance = HeartFCController.get_instance()

src/plugins/chat/bot.py

@@ -27,7 +27,6 @@ class ChatBot:
         self.bot = None  # bot 实例引用
         self._started = False
         self.mood_manager = MoodManager.get_instance()  # 获取情绪管理器单例
-        self.mood_manager.start_mood_update()  # 启动情绪更新
         self.reasoning_chat = ReasoningChat()
         self.heartFC_processor = HeartFCProcessor()  # 新增
 

src/plugins/chat_module/heartFC_chat/heartFC_controler.py

@@ -7,10 +7,10 @@ from ...chat.emoji_manager import emoji_manager
 from .heartFC_generator import ResponseGenerator
 from .messagesender import MessageManager
 from src.heart_flow.heartflow import heartflow
+from src.heart_flow.sub_heartflow import SubHeartflow, ChatState
 from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
 from src.plugins.person_info.relationship_manager import relationship_manager
 from src.do_tool.tool_use import ToolUser
-from .interest import InterestManager
 from src.plugins.chat.chat_stream import chat_manager
 from .pf_chatting import PFChatting
 
@@ -46,31 +46,19 @@ class HeartFCController:
         # 使用 _initialized 标志确保 __init__ 只执行一次
         if self._initialized:
             return
-        # 虽然 __new__ 保证了只有一个实例，但为了防止意外重入或多线程下的初始化竞争，
-        # 再次使用类锁保护初始化过程是更严谨的做法。
-        # 如果确定 __init__ 逻辑本身是幂等的或非关键的，可以省略这里的锁。
-        # 但为了保持原始逻辑的意图（防止重复初始化），这里保留检查。
-        with self.__class__._lock:  # 确保初始化逻辑线程安全
-            if self._initialized:  # 再次检查，防止锁等待期间其他线程已完成初始化
-                return
 
-            logger.info("正在初始化 HeartFCController 单例...")
         self.gpt = ResponseGenerator()
         self.mood_manager = MoodManager.get_instance()
-            # 注意：mood_manager 的 start_mood_update 可能需要在应用主循环启动后调用，
-            # 或者确保其内部实现是安全的。这里保持原状。
-            self.mood_manager.start_mood_update()
         self.tool_user = ToolUser()
-            # 注意：InterestManager() 可能是另一个单例或需要特定初始化。
-            # 假设 InterestManager() 返回的是正确配置的实例。
-            self.interest_manager = InterestManager()
         self._interest_monitor_task: Optional[asyncio.Task] = None
+
+        self.heartflow = heartflow
+
         self.pf_chatting_instances: Dict[str, PFChatting] = {}
-            # _pf_chatting_lock 用于保护 pf_chatting_instances 的异步操作
         self._pf_chatting_lock = asyncio.Lock()  # 这个是 asyncio.Lock，用于异步上下文
         self.emoji_manager = emoji_manager  # 假设是全局或已初始化的实例
         self.relationship_manager = relationship_manager  # 假设是全局或已初始化的实例
-            # MessageManager 可能是类本身或单例实例，根据其设计确定
+
         self.MessageManager = MessageManager
         self._initialized = True
         logger.info("HeartFCController 单例初始化完成。")
@@ -114,7 +102,7 @@ class HeartFCController:
         if self._interest_monitor_task is None or self._interest_monitor_task.done():
             try:
                 loop = asyncio.get_running_loop()
-                self._interest_monitor_task = loop.create_task(self._interest_monitor_loop())
+                self._interest_monitor_task = loop.create_task(self._response_control_loop())
             except RuntimeError:
                 logger.error("创建兴趣监控任务失败：没有运行中的事件循环。")
                 raise
@@ -138,41 +126,41 @@ class HeartFCController:
 
     # --- End Added PFChatting Instance Manager ---
 
-    async def _interest_monitor_loop(self):
+    # async def update_mai_Status(self):
+    #     """后台任务，定期检查更新麦麦状态"""
+    #     logger.info("麦麦状态更新循环开始...")
+    #     while True:
+    #         await asyncio.sleep(0)
+    #         self.heartflow.update_chat_status()
+
+    async def _response_control_loop(self):
         """后台任务，定期检查兴趣度变化并触发回复"""
         logger.info("兴趣监控循环开始...")
         while True:
             await asyncio.sleep(INTEREST_MONITOR_INTERVAL_SECONDS)
+
             try:
                 # 从心流中获取活跃流
-                active_stream_ids = list(heartflow.get_all_subheartflows_streams_ids())
+                active_stream_ids = list(self.heartflow.get_all_subheartflows_streams_ids())
                 for stream_id in active_stream_ids:
                     stream_name = chat_manager.get_stream_name(stream_id) or stream_id  # 获取流名称
-                    sub_hf = heartflow.get_subheartflow(stream_id)
+                    sub_hf = self.heartflow.get_subheartflow(stream_id)
                     if not sub_hf:
                         logger.warning(f"监控循环: 无法获取活跃流 {stream_name} 的 sub_hf")
                         continue
 
-                    should_trigger = False
+                    should_trigger_hfc = False
                     try:
-                        interest_chatting = self.interest_manager.get_interest_chatting(stream_id)
-                        if interest_chatting:
-                            should_trigger = interest_chatting.should_evaluate_reply()
-                        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。"
-                            )
+                        interest_chatting = sub_hf.interest_chatting
+                        should_trigger_hfc = interest_chatting.should_evaluate_reply()
+
                     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())
 
-                    if should_trigger:
+                    if should_trigger_hfc:
                         # 启动一次麦麦聊天
-                        pf_instance = await self._get_or_create_pf_chatting(stream_id)
-                        if pf_instance:
-                            asyncio.create_task(pf_instance.add_time())
-                        else:
-                            logger.error(f"[{stream_name}] 无法获取或创建PFChatting实例。跳过触发。")
+                        await self._trigger_hfc(sub_hf)
 
             except asyncio.CancelledError:
                 logger.info("兴趣监控循环已取消。")
@@ -181,3 +169,17 @@ class HeartFCController:
                 logger.error(f"兴趣监控循环错误: {e}")
                 logger.error(traceback.format_exc())
                 await asyncio.sleep(5)  # 发生错误时等待
+
+    async def _trigger_hfc(self, sub_hf: SubHeartflow):
+        chat_state = sub_hf.chat_state
+        if chat_state == ChatState.ABSENT:
+            chat_state = ChatState.CHAT
+        elif chat_state == ChatState.CHAT:
+            chat_state = ChatState.FOCUSED
+
+        # 从 sub_hf 获取 stream_id
+        if chat_state == ChatState.FOCUSED:
+            stream_id = sub_hf.subheartflow_id
+            pf_instance = await self._get_or_create_pf_chatting(stream_id)
+            if pf_instance:  # 确保实例成功获取或创建
+                asyncio.create_task(pf_instance.add_time())

src/plugins/chat_module/heartFC_chat/heartFC_processor.py

@@ -11,7 +11,6 @@ from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
 from ...chat.chat_stream import chat_manager
 from ...chat.message_buffer import message_buffer
 from ...utils.timer_calculater import Timer
-from .interest import InterestManager
 from src.plugins.person_info.relationship_manager import relationship_manager
 from .reasoning_chat import ReasoningChat
 
@@ -22,14 +21,10 @@ processor_config = LogConfig(
 )
 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 HeartFCProcessor:
     def __init__(self):
         self.storage = MessageStorage()
-        self.interest_manager = InterestManager()
         self.reasoning_chat = ReasoningChat.get_instance()
 
     async def process_message(self, message_data: str) -> None:
@@ -74,9 +69,15 @@ class HeartFCProcessor:
                 group_info=groupinfo,
             )
 
-            # --- 添加兴趣追踪启动 ---
-            # 在获取到 chat 对象后，启动对该聊天流的兴趣监控
-            await self.reasoning_chat.start_monitoring_interest(chat)
+            # --- 确保 SubHeartflow 存在 ---
+            subheartflow = await heartflow.create_subheartflow(chat.stream_id)
+            if not subheartflow:
+                logger.error(f"无法为 stream_id {chat.stream_id} 创建或获取 SubHeartflow，中止处理")
+                return
+
+            # --- 添加兴趣追踪启动 (现在移动到这里，确保 subheartflow 存在后启动) ---
+            # 在获取到 chat 对象和确认 subheartflow 后，启动对该聊天流的兴趣监控
+            await self.reasoning_chat.start_monitoring_interest(chat)  # start_monitoring_interest 内部需要修改以适应
             # --- 结束添加 ---
 
             message.update_chat_stream(chat)
@@ -141,23 +142,35 @@ class HeartFCProcessor:
                 logger.error(f"计算记忆激活率失败: {e}")
                 logger.error(traceback.format_exc())
 
+            # --- 修改：兴趣度更新逻辑 --- #
             if is_mentioned:
-                interested_rate += 0.8
+                interest_increase_on_mention = 2
+                mentioned_boost = interest_increase_on_mention  # 从配置获取提及增加值
+                interested_rate += mentioned_boost
+                logger.trace(f"消息提及机器人，额外增加兴趣 {mentioned_boost:.2f}")
 
-            # 更新兴趣度
+            # 更新兴趣度 (调用 SubHeartflow 的方法)
+            current_interest = 0.0  # 初始化
             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
+                # 获取当前时间，传递给 increase_interest
+                current_time = time.time()
+                subheartflow.interest_chatting.increase_interest(current_time, value=interested_rate)
+                current_interest = subheartflow.get_interest_level()  # 获取更新后的值
+
                 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}"
+                    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} (Stream: {chat.stream_id})"
                 )
 
-                self.interest_manager.add_interest_dict(message, interested_rate, is_mentioned)
+                # 添加到 SubHeartflow 的 interest_dict
+                subheartflow.add_interest_dict_entry(message, interested_rate, is_mentioned)
+                logger.trace(
+                    f"Message {message.message_info.message_id} added to interest dict for stream {chat.stream_id}"
+                )
 
             except Exception as e:
-                logger.error(f"更新兴趣度失败: {e}")  # 调整日志消息
+                logger.error(f"更新兴趣度失败 (Stream: {chat.stream_id}): {e}")
                 logger.error(traceback.format_exc())
-            # ---- 兴趣度计算和更新结束 ----
+            # --- 结束修改 --- #
 
             # 打印消息接收和处理信息
             mes_name = chat.group_info.group_name if chat.group_info else "私聊"

src/plugins/chat_module/heartFC_chat/interest.py

@@ -1,503 +0,0 @@
-import time
-import math
-import asyncio
-import threading
-import json  # 引入 json
-import os  # 引入 os
-from typing import Optional  # <--- 添加导入
-import random  # <--- 添加导入 random
-from src.plugins.chat.message import MessageRecv
-from src.common.logger import get_module_logger, LogConfig, DEFAULT_CONFIG  # 引入 DEFAULT_CONFIG
-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
-)
-logger = get_module_logger("InterestManager", config=interest_log_config)
-
-
-# 定义常量
-DEFAULT_DECAY_RATE_PER_SECOND = 0.98  # 每秒衰减率 (兴趣保留 99%)
-MAX_INTEREST = 15.0  # 最大兴趣值
-# MIN_INTEREST_THRESHOLD = 0.1      # 低于此值可能被清理 (可选)
-CLEANUP_INTERVAL_SECONDS = 1200  # 清理任务运行间隔 (例如：20分钟)
-INACTIVE_THRESHOLD_SECONDS = 1200  # 不活跃时间阈值 (例如：20分钟)
-LOG_INTERVAL_SECONDS = 3  # 日志记录间隔 (例如：30秒)
-LOG_DIRECTORY = "logs/interest"  # 日志目录
-# LOG_FILENAME = "interest_log.json"  # 快照日志文件名 (保留，以防其他地方用到)
-HISTORY_LOG_FILENAME = "interest_history.log"  # 新的历史日志文件名
-# 移除阈值，将移至 HeartFC_Chat
-# INTEREST_INCREASE_THRESHOLD = 0.5
-
-# --- 新增：概率回复相关常量 ---
-REPLY_TRIGGER_THRESHOLD = 3.0  # 触发概率回复的兴趣阈值 (示例值)
-BASE_REPLY_PROBABILITY = 0.1  # 首次超过阈值时的基础回复概率 (示例值)
-PROBABILITY_INCREASE_RATE_PER_SECOND = 0.02  # 高于阈值时，每秒概率增加量 (线性增长, 示例值)
-PROBABILITY_DECAY_FACTOR_PER_SECOND = 0.2  # 低于阈值时，每秒概率衰减因子 (指数衰减, 示例值)
-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,
-        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,
-    ):
-        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
-        self.max_interest: float = max_interest
-        self.last_interaction_time: float = self.last_update_time  # 新增：最后交互时间
-
-        # --- 新增：概率回复相关属性 ---
-        self.trigger_threshold: float = trigger_threshold
-        self.base_reply_probability: float = base_reply_probability
-        self.probability_increase_rate: float = increase_rate
-        self.probability_decay_factor: float = decay_factor
-        self.max_reply_probability: float = max_probability
-        self.current_reply_probability: float = 0.0
-        self.is_above_threshold: bool = False  # 标记兴趣值是否高于阈值
-        # --- 结束：概率回复相关属性 ---
-
-        # 记录激发兴趣对(消息id,激活值)
-        self.interest_dict = {}
-
-    def add_interest_dict(self, message: MessageRecv, interest_value: float, is_mentioned: bool):
-        # Store the MessageRecv object and the interest value as a tuple
-        self.interest_dict[message.message_info.message_id] = (message, interest_value, is_mentioned)
-
-    def _calculate_decay(self, current_time: float):
-        """计算从上次更新到现在的衰减"""
-        time_delta = current_time - self.last_update_time
-        if time_delta > 0:
-            # 指数衰减: interest = interest * (decay_rate ^ time_delta)
-            # 添加处理极小兴趣值避免 math domain error
-            old_interest = self.interest_level
-            if self.interest_level < 1e-9:
-                self.interest_level = 0.0
-            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."
-                    )
-                    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."
-                    )
-                    self.interest_level = 0.0
-                else:
-                    try:
-                        decay_factor = math.pow(self.decay_rate_per_second, time_delta)
-                        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."
-                        )
-                        self.interest_level = 0.0
-
-            # 防止低于阈值 (如果需要)
-            # self.interest_level = max(self.interest_level, MIN_INTEREST_THRESHOLD)
-
-            # 只有在兴趣值发生变化时才更新时间戳
-            if old_interest != self.interest_level:
-                self.last_update_time = current_time
-
-    def _update_reply_probability(self, current_time: float):
-        """根据当前兴趣是否超过阈值及时间差，更新回复概率"""
-        time_delta = current_time - self.last_update_time
-        if time_delta <= 0:
-            return  # 时间未前进，无需更新
-
-        currently_above = self.interest_level >= self.trigger_threshold
-
-        if currently_above:
-            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}"
-                )
-            else:
-                # 持续高于阈值，线性增加概率
-                increase_amount = self.probability_increase_rate * time_delta
-                self.current_reply_probability += increase_amount
-                # logger.debug(f"兴趣高于阈值 ({self.trigger_threshold}) 持续 {time_delta:.2f}秒. 概率增加 {increase_amount:.4f} 到 {self.current_reply_probability:.4f}")
-
-            # 限制概率不超过最大值
-            self.current_reply_probability = min(self.current_reply_probability, self.max_reply_probability)
-
-        else:
-            if 0 < self.probability_decay_factor < 1:
-                decay_multiplier = math.pow(self.probability_decay_factor, time_delta)
-                # old_prob = self.current_reply_probability
-                self.current_reply_probability *= decay_multiplier
-                # 避免因浮点数精度问题导致概率略微大于0，直接设为0
-                if self.current_reply_probability < 1e-6:
-                    self.current_reply_probability = 0.0
-                # logger.debug(f"兴趣低于阈值 ({self.trigger_threshold}) 持续 {time_delta:.2f}秒. 概率从 {old_prob:.4f} 衰减到 {self.current_reply_probability:.4f} (因子: {self.probability_decay_factor})")
-            elif self.probability_decay_factor <= 0:
-                # 如果衰减因子无效或为0，直接清零
-                if self.current_reply_probability > 0:
-                    logger.warning(f"无效的衰减因子 ({self.probability_decay_factor}). 设置概率为0.")
-                    self.current_reply_probability = 0.0
-            # else: decay_factor >= 1, probability will not decay or increase, which might be intended in some cases.
-
-            # 确保概率不低于0
-            self.current_reply_probability = max(self.current_reply_probability, 0.0)
-
-        # 更新状态标记
-        self.is_above_threshold = currently_above
-        # 更新时间戳放在调用者处，确保 interest 和 probability 基于同一点更新
-
-    def increase_interest(self, current_time: float, value: float):
-        """根据传入的值增加兴趣值，并记录增加量"""
-        # 先更新概率和计算衰减（基于上次更新时间）
-        self._update_reply_probability(current_time)
-        self._calculate_decay(current_time)
-        # 应用增加
-        self.interest_level += value
-        self.interest_level = min(self.interest_level, self.max_interest)  # 不超过最大值
-        self.last_update_time = current_time  # 更新时间戳
-        self.last_interaction_time = current_time  # 更新最后交互时间
-
-    def decrease_interest(self, current_time: float, value: float):
-        """降低兴趣值并更新时间 (确保不低于0)"""
-        # 先更新概率（基于上次更新时间）
-        self._update_reply_probability(current_time)
-        # 注意：降低兴趣度是否需要先衰减？取决于具体逻辑，这里假设不衰减直接减
-        self.interest_level -= value
-        self.interest_level = max(self.interest_level, 0.0)  # 确保不低于0
-        self.last_update_time = current_time  # 降低也更新时间戳
-        self.last_interaction_time = current_time  # 更新最后交互时间
-
-    def get_interest(self) -> float:
-        """获取当前兴趣值 (计算衰减后)"""
-        # 注意：这个方法现在会触发概率和兴趣的更新
-        current_time = time.time()
-        self._update_reply_probability(current_time)
-        self._calculate_decay(current_time)
-        self.last_update_time = current_time  # 更新时间戳
-        return self.interest_level
-
-    def get_state(self) -> dict:
-        """获取当前状态字典"""
-        # 调用 get_interest 来确保状态已更新
-        interest = self.get_interest()
-        return {
-            "interest_level": round(interest, 2),
-            "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
-            # 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)
-        }
-
-    def should_evaluate_reply(self) -> bool:
-        """
-        判断是否应该触发一次回复评估。
-        首先更新概率状态，然后根据当前概率进行随机判断。
-        """
-        current_time = time.time()
-        # 确保概率是基于最新兴趣值计算的
-        self._update_reply_probability(current_time)
-        # 更新兴趣衰减（如果需要，取决于逻辑，这里保持和 get_interest 一致）
-        # self._calculate_decay(current_time)
-        # self.last_update_time = current_time # 更新时间戳
-
-        if self.current_reply_probability > 0:
-            # 只有在阈值之上且概率大于0时才有可能触发
-            trigger = random.random() < self.current_reply_probability
-            # if trigger:
-            #     logger.info(f"回复概率评估触发! 概率: {self.current_reply_probability:.4f}, 阈值: {self.trigger_threshold}, 兴趣: {self.interest_level:.2f}")
-            #     # 可选：触发后是否重置/降低概率？根据需要决定
-            #     # self.current_reply_probability = self.base_reply_probability # 例如，触发后降回基础概率
-            #     # self.current_reply_probability *= 0.5 # 例如，触发后概率减半
-            # else:
-            #      logger.debug(f"回复概率评估未触发。概率: {self.current_reply_probability:.4f}")
-            return trigger
-        else:
-            # logger.debug(f"Reply evaluation check: Below threshold or zero probability. Probability: {self.current_reply_probability:.4f}")
-            return False
-
-
-class InterestManager:
-    _instance = None
-    _lock = threading.Lock()
-    _initialized = False
-
-    def __new__(cls, *args, **kwargs):
-        if cls._instance is None:
-            with cls._lock:
-                # Double-check locking
-                if cls._instance is None:
-                    cls._instance = super().__new__(cls)
-        return cls._instance
-
-    def __init__(self):
-        if not self._initialized:
-            with self._lock:
-                # 确保初始化也只执行一次
-                if not self._initialized:
-                    logger.info("Initializing InterestManager singleton...")
-                    # key: stream_id (str), value: InterestChatting instance
-                    self.interest_dict: dict[str, InterestChatting] = {}
-                    # 保留旧的快照文件路径变量，尽管此任务不再写入
-                    # self._snapshot_log_file_path = os.path.join(LOG_DIRECTORY, LOG_FILENAME)
-                    # 定义新的历史日志文件路径
-                    self._history_log_file_path = os.path.join(LOG_DIRECTORY, HISTORY_LOG_FILENAME)
-                    self._ensure_log_directory()
-                    self._cleanup_task = None
-                    self._logging_task = None  # 添加日志任务变量
-                    self._initialized = True
-                    logger.info("InterestManager initialized.")  # 修改日志消息
-                    self._decay_task = None  # 新增：衰减任务变量
-
-    def _ensure_log_directory(self):
-        """确保日志目录存在"""
-        try:
-            os.makedirs(LOG_DIRECTORY, exist_ok=True)
-            logger.info(f"Log directory '{LOG_DIRECTORY}' ensured.")
-        except OSError as e:
-            logger.error(f"Error creating log directory '{LOG_DIRECTORY}': {e}")
-
-    async def _periodic_cleanup_task(self, interval_seconds: int, max_age_seconds: int):
-        """后台清理任务的异步函数"""
-        while True:
-            await asyncio.sleep(interval_seconds)
-            logger.info(f"运行定期清理 (间隔: {interval_seconds}秒)...")
-            self.cleanup_inactive_chats(max_age_seconds=max_age_seconds)
-
-    async def _periodic_log_task(self, interval_seconds: int):
-        """后台日志记录任务的异步函数 (记录历史数据，包含 group_name)"""
-        while True:
-            await asyncio.sleep(interval_seconds)
-            # logger.debug(f"运行定期历史记录 (间隔: {interval_seconds}秒)...")
-            try:
-                current_timestamp = time.time()
-                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:
-                    count = 0
-                    for stream_id, state in all_states.items():
-                        # *** Get group name from ChatManager ***
-                        group_name = stream_id  # Default to stream_id
-                        try:
-                            # Use the imported chat_manager instance
-                            chat_stream = chat_manager.get_stream(stream_id)
-                            if chat_stream and chat_stream.group_info:
-                                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
-                                )
-                        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
-
-                        log_entry = {
-                            "timestamp": round(current_timestamp, 2),
-                            "stream_id": stream_id,
-                            "interest_level": state.get("interest_level", 0.0),  # 确保有默认值
-                            "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),
-                            # --- 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")
-                        count += 1
-                # logger.debug(f"Successfully appended {count} interest history entries to {self._history_log_file_path}")
-
-                # 注意：不再写入快照文件 interest_log.json
-                # 如果需要快照文件，可以在这里单独写入 self._snapshot_log_file_path
-                # 例如：
-                # with open(self._snapshot_log_file_path, 'w', encoding='utf-8') as snap_f:
-                #     json.dump(all_states, snap_f, indent=4, ensure_ascii=False)
-                # logger.debug(f"Successfully wrote snapshot to {self._snapshot_log_file_path}")
-
-            except IOError as e:
-                logger.error(f"Error writing interest history log to {self._history_log_file_path}: {e}")
-            except Exception as e:
-                logger.error(f"Unexpected error during periodic history logging: {e}")
-
-    async def _periodic_decay_task(self):
-        """后台衰减任务的异步函数，每秒更新一次所有实例的衰减"""
-        while True:
-            await asyncio.sleep(1)  # 每秒运行一次
-            current_time = time.time()
-            # logger.debug("Running periodic decay calculation...") # 调试日志，可能过于频繁
-
-            # 创建字典项的快照进行迭代，避免在迭代时修改字典的问题
-            items_snapshot = list(self.interest_dict.items())
-            count = 0
-            for stream_id, chatting in items_snapshot:
-                try:
-                    # 调用 InterestChatting 实例的衰减方法
-                    chatting._calculate_decay(current_time)
-                    count += 1
-                except Exception as e:
-                    logger.error(f"Error calculating decay for stream_id {stream_id}: {e}")
-            # if count > 0: # 仅在实际处理了项目时记录日志，避免空闲时刷屏
-            #     logger.debug(f"Applied decay to {count} streams.")
-
-    async def start_background_tasks(self):
-        """启动清理，启动衰减，启动记录，启动启动启动启动启动"""
-        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
-                )
-            )
-            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))
-            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())
-            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。")
-
-    def get_all_interest_states(self) -> dict[str, dict]:
-        """获取所有聊天流的当前兴趣状态"""
-        # 不再需要 current_time, 因为 get_state 现在不接收它
-        states = {}
-        # 创建副本以避免在迭代时修改字典
-        items_snapshot = list(self.interest_dict.items())
-        for stream_id, chatting in items_snapshot:
-            try:
-                # 直接调用 get_state，它会使用内部的 get_interest 获取已更新的值
-                states[stream_id] = chatting.get_state()
-            except Exception as e:
-                logger.warning(f"Error getting state for stream_id {stream_id}: {e}")
-        return states
-
-    def get_interest_chatting(self, stream_id: str) -> Optional[InterestChatting]:
-        """获取指定流的 InterestChatting 实例，如果不存在则返回 None"""
-        return self.interest_dict.get(stream_id)
-
-    def _get_or_create_interest_chatting(self, stream_id: str) -> InterestChatting:
-        """获取或创建指定流的 InterestChatting 实例 (线程安全)"""
-        if stream_id not in self.interest_dict:
-            logger.debug(f"创建兴趣流: {stream_id}")
-            # --- 修改：创建时传入概率相关参数 (如果需要定制化，否则使用默认值) ---
-            self.interest_dict[stream_id] = InterestChatting(
-                # decay_rate=..., max_interest=..., # 可以从配置读取
-                trigger_threshold=REPLY_TRIGGER_THRESHOLD,  # 使用全局常量
-                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,
-            )
-            # --- 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
-        return self.interest_dict[stream_id]
-
-    def get_interest(self, stream_id: str) -> float:
-        """获取指定聊天流当前的兴趣度 (值由后台任务更新)"""
-        # current_time = time.time() # 不再需要获取当前时间
-        interest_chatting = self._get_or_create_interest_chatting(stream_id)
-        # 直接调用修改后的 get_interest，不传入时间
-        return interest_chatting.get_interest()
-
-    def increase_interest(self, stream_id: str, value: float):
-        """当收到消息时，增加指定聊天流的兴趣度"""
-        current_time = time.time()
-        interest_chatting = self._get_or_create_interest_chatting(stream_id)
-        # 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
-
-    def decrease_interest(self, stream_id: str, value: float):
-        """降低指定聊天流的兴趣度"""
-        current_time = time.time()
-        # 尝试获取，如果不存在则不做任何事
-        interest_chatting = self.get_interest_chatting(stream_id)
-        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}"
-            )
-        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")
-
-    def add_interest_dict(self, message: MessageRecv, interest_value: float, is_mentioned: bool):
-        interest_chatting = self._get_or_create_interest_chatting(message.chat_stream.stream_id)
-        interest_chatting.add_interest_dict(message, interest_value, is_mentioned)
-
-    def cleanup_inactive_chats(self, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):
-        """
-        清理长时间不活跃的聊天流记录
-        max_age_seconds: 超过此时间未更新的将被清理
-        """
-        current_time = time.time()
-        keys_to_remove = []
-        initial_count = len(self.interest_dict)
-        # with self._lock: # 如果需要锁整个迭代过程
-        # 创建副本以避免在迭代时修改字典
-        items_snapshot = list(self.interest_dict.items())
-
-        for stream_id, chatting in items_snapshot:
-            # 先计算当前兴趣，确保是最新的
-            # 加锁保护 chatting 对象状态的读取和可能的修改
-            # with self._lock: # 如果 InterestChatting 内部操作不是原子的
-            last_interaction = chatting.last_interaction_time  # 使用最后交互时间
-            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
-                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
-
-            if should_remove:
-                keys_to_remove.append(stream_id)
-                stream_name = chat_manager.get_stream_name(stream_id) or stream_id  # 获取流名称
-                logger.debug(f"Marking stream {stream_name} for removal. Reason: {reason}")
-
-        if keys_to_remove:
-            logger.info(f"清理识别到 {len(keys_to_remove)} 个不活跃/低兴趣的流。")
-            # with self._lock: # 确保删除操作的原子性
-            for key in keys_to_remove:
-                # 再次检查 key 是否存在，以防万一在迭代和删除之间状态改变
-                if key in self.interest_dict:
-                    del self.interest_dict[key]
-                    stream_name = chat_manager.get_stream_name(key) or key  # 获取流名称
-                    logger.debug(f"移除了流: {stream_name}")
-            final_count = initial_count - len(keys_to_remove)
-            logger.info(f"清理完成。移除了 {len(keys_to_remove)} 个流。当前数量: {final_count}")
-        else:
-            logger.info(f"清理完成。没有流符合移除条件。当前数量: {initial_count}")

src/plugins/chat_module/heartFC_chat/pf_chatting.py

@@ -753,7 +753,7 @@ class PFChatting:
             # --- Generate Response with LLM --- #
             # Access gpt instance via controller
             gpt_instance = self.heartfc_controller.gpt
-            logger.debug(f"{log_prefix}[Replier-{thinking_id}] Calling LLM to generate response...")
+            # logger.debug(f"{log_prefix}[Replier-{thinking_id}] Calling LLM to generate response...")
 
             # Ensure generate_response has access to current_mind if it's crucial context
             response_set = await gpt_instance.generate_response(

src/plugins/chat_module/heartFC_chat/reasoning_chat.py

@@ -20,8 +20,8 @@ from src.plugins.chat.chat_stream import ChatStream
 from src.plugins.person_info.relationship_manager import relationship_manager
 from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
 from src.plugins.utils.timer_calculater import Timer
-from .interest import InterestManager
-from .heartFC_controler import HeartFCController  # 导入 HeartFCController
+from src.heart_flow.heartflow import heartflow
+from .heartFC_controler import HeartFCController
 
 # 定义日志配置
 chat_config = LogConfig(
@@ -56,11 +56,9 @@ class ReasoningChat:
             self.storage = MessageStorage()
             self.gpt = ResponseGenerator()
             self.mood_manager = MoodManager.get_instance()
-            self.mood_manager.start_mood_update()
             # 用于存储每个 chat stream 的兴趣监控任务
             self._interest_monitoring_tasks: Dict[str, asyncio.Task] = {}
             self._initialized = True
-            self.interest_manager = InterestManager()
             logger.info("ReasoningChat 单例初始化完成。")  # 添加日志
 
     @classmethod
@@ -182,55 +180,69 @@ class ReasoningChat:
         # 此函数设计为后台任务，轮询指定 chat 的兴趣消息。
         # 它通常由外部代码在 chat 流活跃时启动。
         controller = HeartFCController.get_instance()  # 获取控制器实例
+        stream_id = chat.stream_id  # 获取 stream_id
+
         if not controller:
-            logger.error(f"无法获取 HeartFCController 实例，无法检查 PFChatting 状态。stream: {chat.stream_id}")
+            logger.error(f"无法获取 HeartFCController 实例，无法检查 PFChatting 状态。stream: {stream_id}")
             # 在没有控制器的情况下可能需要决定是继续处理还是完全停止？这里暂时假设继续
             pass  # 或者 return?
 
+        logger.info(f"[{stream_id}] 兴趣消息监控任务启动。")  # 增加启动日志
         while True:
             await asyncio.sleep(1)  # 每秒检查一次
-            interest_chatting = self.interest_manager.get_interest_chatting(chat.stream_id)
 
-            if not interest_chatting:
-                continue
+            # --- 修改：通过 heartflow 获取 subheartflow 和 interest_dict --- #
+            subheartflow = heartflow.get_subheartflow(stream_id)
 
-            interest_dict = interest_chatting.interest_dict if interest_chatting.interest_dict else {}
+            # 检查 subheartflow 是否存在以及是否被标记停止
+            if not subheartflow or subheartflow.should_stop:
+                logger.info(f"[{stream_id}] SubHeartflow 不存在或已停止，兴趣消息监控任务退出。")
+                break  # 退出循环，任务结束
+
+            # 从 subheartflow 获取 interest_dict
+            interest_dict = subheartflow.get_interest_dict()
+            # --- 结束修改 --- #
+
+            # 创建 items 快照进行迭代，避免在迭代时修改字典
             items_to_process = list(interest_dict.items())
 
             if not items_to_process:
-                continue
+                continue  # 没有需要处理的消息，继续等待
+
+            # logger.debug(f"[{stream_id}] 发现 {len(items_to_process)} 条待处理兴趣消息。") # 调试日志
 
             for msg_id, (message, interest_value, is_mentioned) in items_to_process:
                 # --- 检查 PFChatting 是否活跃 --- #
                 pf_active = False
                 if controller:
-                    pf_active = controller.is_pf_chatting_active(chat.stream_id)
+                    pf_active = controller.is_pf_chatting_active(stream_id)
 
                 if pf_active:
                     # 如果 PFChatting 活跃，则跳过处理，直接移除消息
                     removed_item = interest_dict.pop(msg_id, None)
                     if removed_item:
-                        logger.debug(f"PFChatting 活跃，已跳过并移除兴趣消息 {msg_id} for stream: {chat.stream_id}")
+                        logger.debug(f"[{stream_id}] PFChatting 活跃，已跳过并移除兴趣消息 {msg_id}")
                     continue  # 处理下一条消息
                 # --- 结束检查 --- #
 
                 # 只有当 PFChatting 不活跃时才执行以下处理逻辑
                 try:
-                    # logger.debug(f"正在处理消息 {msg_id} for stream: {chat.stream_id}") # 可选调试信息
+                    # logger.debug(f"[{stream_id}] 正在处理兴趣消息 {msg_id} (兴趣值: {interest_value:.2f})" )
                     await self.normal_reasoning_chat(
                         message=message,
-                        chat=chat,
+                        chat=chat,  # chat 对象仍然有效
                         is_mentioned=is_mentioned,
-                        interested_rate=interest_value,
+                        interested_rate=interest_value,  # 使用从字典获取的原始兴趣值
                     )
-                    # logger.debug(f"处理完成消息 {msg_id}") # 可选调试信息
+                    # logger.debug(f"[{stream_id}] 处理完成消息 {msg_id}")
                 except Exception as e:
-                    logger.error(f"处理兴趣消息 {msg_id} 时出错: {e}\n{traceback.format_exc()}")
+                    logger.error(f"[{stream_id}] 处理兴趣消息 {msg_id} 时出错: {e}\n{traceback.format_exc()}")
                 finally:
                     # 无论处理成功与否（且PFChatting不活跃），都尝试从原始字典中移除该消息
+                    # 使用 pop(key, None) 避免 Key Error
                     removed_item = interest_dict.pop(msg_id, None)
                     if removed_item:
-                        logger.debug(f"已从兴趣字典中移除消息 {msg_id}")
+                        logger.debug(f"[{stream_id}] 已从兴趣字典中移除消息 {msg_id}")
 
     async def normal_reasoning_chat(
         self, message: MessageRecv, chat: ChatStream, is_mentioned: bool, interested_rate: float
@@ -281,7 +293,10 @@ class ReasoningChat:
             # 生成回复
             try:
                 with Timer("生成回复", timing_results):
-                    response_set = await self.gpt.generate_response(message, thinking_id)
+                    response_set = await self.gpt.generate_response(
+                        message=message,
+                        thinking_id=thinking_id,
+                    )
 
                 info_catcher.catch_after_generate_response(timing_results["生成回复"])
             except Exception as e:
@@ -289,23 +304,34 @@ class ReasoningChat:
                 response_set = None
 
             if not response_set:
-                logger.info("为什么生成回复失败？")
-                return
+                logger.info(f"[{chat.stream_id}] 模型未生成回复内容")
+                # 如果模型未生成回复，移除思考消息
+                container = message_manager.get_container(chat.stream_id)
+                # thinking_message = None
+                for msg in container.messages[:]:  # Iterate over a copy
+                    if isinstance(msg, MessageThinking) and msg.message_info.message_id == thinking_id:
+                        # thinking_message = msg
+                        container.messages.remove(msg)
+                        logger.debug(f"[{chat.stream_id}] 已移除未产生回复的思考消息 {thinking_id}")
+                        break
+                return  # 不发送回复
 
-            # 发送消息
-            with Timer("发送消息", timing_results):
+            logger.info(f"[{chat.stream_id}] 回复内容: {response_set}")
+
+            # 发送回复
+            with Timer("消息发送", timing_results):
                 first_bot_msg = await self._send_response_messages(message, chat, response_set, thinking_id)
 
-            info_catcher.catch_after_response(timing_results["发送消息"], response_set, first_bot_msg)
+            info_catcher.catch_after_response(timing_results["消息发送"], response_set, first_bot_msg)
 
             info_catcher.done_catch()
 
             # 处理表情包
             with Timer("处理表情包", timing_results):
-                await self._handle_emoji(message, chat, response_set)
+                await self._handle_emoji(message, chat, response_set[0])
 
             # 更新关系情绪
-            with Timer("更新关系情绪", timing_results):
+            with Timer("关系更新", timing_results):
                 await self._update_relationship(message, response_set)
 
             # 回复后处理
@@ -349,64 +375,51 @@ class ReasoningChat:
         return False
 
     async def start_monitoring_interest(self, chat: ChatStream):
-        """为指定的 ChatStream 启动后台兴趣消息监控任务。"""
+        """为指定的 ChatStream 启动兴趣消息监控任务（如果尚未运行）。"""
         stream_id = chat.stream_id
-        # 检查任务是否已在运行
-        if stream_id in self._interest_monitoring_tasks and not self._interest_monitoring_tasks[stream_id].done():
-            task = self._interest_monitoring_tasks[stream_id]
-            if not task.cancelled():  # 确保任务未被取消
-                logger.info(f"兴趣监控任务已在运行 stream: {stream_id}")
-                return
-            else:
-                logger.info(f"发现已取消的任务，重新创建 stream: {stream_id}")
-                # 如果任务被取消了，允许重新创建
-
-        logger.info(f"启动兴趣监控任务 stream: {stream_id}...")
-        # 创建新的后台任务来运行 _find_interested_message
+        if stream_id not in self._interest_monitoring_tasks or self._interest_monitoring_tasks[stream_id].done():
+            logger.info(f"为聊天流 {stream_id} 启动兴趣消息监控任务...")
+            # 创建新任务
             task = asyncio.create_task(self._find_interested_message(chat))
-        self._interest_monitoring_tasks[stream_id] = task
-
-        # 添加回调，当任务完成（或被取消）时，自动从字典中移除
+            # 添加完成回调
             task.add_done_callback(lambda t: self._handle_task_completion(stream_id, t))
+            self._interest_monitoring_tasks[stream_id] = task
+        # else:
+        # logger.debug(f"聊天流 {stream_id} 的兴趣消息监控任务已在运行。")
 
     def _handle_task_completion(self, stream_id: str, task: asyncio.Task):
-        """处理监控任务完成的回调。"""
+        """兴趣监控任务完成时的回调函数。"""
         try:
             # 检查任务是否因异常而结束
             exception = task.exception()
             if exception:
-                logger.error(f"兴趣监控任务 stream {stream_id} 异常结束: {exception}", exc_info=exception)
-            elif task.cancelled():
-                logger.info(f"兴趣监控任务 stream {stream_id} 已被取消。")
+                logger.error(f"聊天流 {stream_id} 的兴趣监控任务因异常结束: {exception}")
+                logger.error(traceback.format_exc())  # 记录完整的 traceback
             else:
-                logger.info(f"兴趣监控任务 stream {stream_id} 正常结束。")  # 理论上 while True 不会正常结束
+                logger.info(f"聊天流 {stream_id} 的兴趣监控任务正常结束。")
         except asyncio.CancelledError:
-            logger.info(f"兴趣监控任务 stream {stream_id} 在完成处理期间被取消。")
+            logger.info(f"聊天流 {stream_id} 的兴趣监控任务被取消。")
+        except Exception as e:
+            logger.error(f"处理聊天流 {stream_id} 任务完成回调时出错: {e}")
         finally:
-            # 无论如何都从字典中移除
-            removed_task = self._interest_monitoring_tasks.pop(stream_id, None)
-            if removed_task:
-                logger.debug(f"已从监控任务字典移除 stream: {stream_id}")
+            # 从字典中移除已完成或取消的任务
+            if stream_id in self._interest_monitoring_tasks:
+                del self._interest_monitoring_tasks[stream_id]
+                logger.debug(f"已从监控任务字典中移除 {stream_id}")
 
     async def stop_monitoring_interest(self, stream_id: str):
-        """停止指定 stream_id 的兴趣消息监控任务。"""
+        """停止指定聊天流的兴趣监控任务。"""
         if stream_id in self._interest_monitoring_tasks:
             task = self._interest_monitoring_tasks[stream_id]
-            if not task.done():
-                logger.info(f"正在停止兴趣监控任务 stream: {stream_id}...")
-                task.cancel()  # 请求取消任务
+            if task and not task.done():
+                task.cancel()  # 尝试取消任务
+                logger.info(f"尝试取消聊天流 {stream_id} 的兴趣监控任务。")
                 try:
-                    # 等待任务实际被取消（可选，提供更明确的停止）
-                    # 设置超时以防万一
-                    await asyncio.wait_for(task, timeout=5.0)
+                    await task  # 等待任务响应取消
                 except asyncio.CancelledError:
-                    logger.info(f"兴趣监控任务 stream {stream_id} 已确认取消。")
-                except asyncio.TimeoutError:
-                    logger.warning(f"停止兴趣监控任务 stream {stream_id} 超时。任务可能仍在运行。")
+                    logger.info(f"聊天流 {stream_id} 的兴趣监控任务已成功取消。")
                 except Exception as e:
-                    # 捕获 task.exception() 可能在取消期间重新引发的错误
-                    logger.error(f"停止兴趣监控任务 stream {stream_id} 时发生错误: {e}")
-            # 任务最终会由 done_callback 移除，或在这里再次确认移除
-            self._interest_monitoring_tasks.pop(stream_id, None)
-        else:
-            logger.warning(f"尝试停止不存在或已停止的监控任务 stream: {stream_id}")
+                    logger.error(f"等待聊天流 {stream_id} 监控任务取消时出现异常: {e}")
+            # 在回调函数 _handle_task_completion 中移除任务
+        # else:
+        # logger.debug(f"聊天流 {stream_id} 没有正在运行的兴趣监控任务可停止。")

src/plugins/chat_module/reasoning_chat/reasoning_chat.py

@@ -36,7 +36,6 @@ class ReasoningChat:
         self.storage = MessageStorage()
         self.gpt = ResponseGenerator()
         self.mood_manager = MoodManager.get_instance()
-        self.mood_manager.start_mood_update()
 
     @staticmethod
     async def _create_thinking_message(message, chat, userinfo, messageinfo):

src/plugins/person_info/person_info.py

@@ -198,9 +198,9 @@ class PersonInfoManager:
                 "nickname": "昵称",
                 "reason": "理由"
             }"""
-            logger.debug(f"取名提示词：{qv_name_prompt}")
+            # logger.debug(f"取名提示词：{qv_name_prompt}")
             response = await self.qv_name_llm.generate_response(qv_name_prompt)
-            logger.debug(f"取名回复：{response}")
+            logger.debug(f"取名提示词：{qv_name_prompt}\n取名回复：{response}")
             result = self._extract_json_from_text(response[0])
 
             if not result["nickname"]:
@@ -217,7 +217,7 @@ class PersonInfoManager:
                 await self.update_one_field(person_id, "name_reason", result["reason"])
 
                 self.person_name_list[person_id] = result["nickname"]
-                logger.debug(f"用户 {person_id} 的名称已更新为 {result['nickname']}，原因：{result['reason']}")
+                # logger.debug(f"用户 {person_id} 的名称已更新为 {result['nickname']}，原因：{result['reason']}")
                 return result
             else:
                 existing_names += f"{result['nickname']}、"

src/plugins/person_info/relationship_manager.py

@@ -89,8 +89,8 @@ class RelationshipManager:
         person_id = person_info_manager.get_person_id(platform, user_id)
         is_qved = await person_info_manager.has_one_field(person_id, "person_name")
         old_name = await person_info_manager.get_value(person_id, "person_name")
-        print(f"old_name: {old_name}")
-        print(f"is_qved: {is_qved}")
+        # print(f"old_name: {old_name}")
+        # print(f"is_qved: {is_qved}")
         if is_qved and old_name is not None:
             return True
         else: