better：更新PFC，现可拥有多目标以及其他优化

src/heart_flow/heartflow.py

@@ -21,12 +21,15 @@ logger = get_module_logger("heartflow", config=heartflow_config)
 
 class CurrentState:
     def __init__(self):
-        self.willing = 0
+
         self.current_state_info = ""
 
         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()
 
@@ -41,7 +44,9 @@ class Heartflow:
         )
 
         self._subheartflows: Dict[Any, SubHeartflow] = {}
-        self.active_subheartflows_nums = 0
+        
+        
+        
 
     async def _cleanup_inactive_subheartflows(self):
         """定期清理不活跃的子心流"""
@@ -64,10 +69,7 @@ class Heartflow:
 
             await asyncio.sleep(30)  # 每分钟检查一次
             
-    async def heartflow_start_working(self):
+    async def _sub_heartflow_update(self):
-        # 启动清理任务
-        asyncio.create_task(self._cleanup_inactive_subheartflows())
-
         while True:
             # 检查是否存在子心流
             if not self._subheartflows:
@@ -78,6 +80,17 @@ class Heartflow:
             await self.do_a_thinking()
             await asyncio.sleep(global_config.heart_flow_update_interval)  # 5分钟思考一次
 
+    async def heartflow_start_working(self):
+        
+        # 启动清理任务
+        asyncio.create_task(self._cleanup_inactive_subheartflows())
+
+        # 启动子心流更新任务
+        asyncio.create_task(self._sub_heartflow_update())
+        
+    async def _update_current_state(self):
+        print("TODO")
+
     async def do_a_thinking(self):
         logger.debug("麦麦大脑袋转起来了")
         self.current_state.update_current_state_info()
@@ -188,17 +201,13 @@ class Heartflow:
 
         try:
             if subheartflow_id not in self._subheartflows:
-                logger.debug(f"创建 subheartflow: {subheartflow_id}")
                 subheartflow = SubHeartflow(subheartflow_id)
                 # 创建一个观察对象，目前只可以用chat_id创建观察对象
                 logger.debug(f"创建 observation: {subheartflow_id}")
                 observation = ChattingObservation(subheartflow_id)
-
-                logger.debug("添加 observation ")
                 subheartflow.add_observation(observation)
                 logger.debug("添加 observation 成功")
                 # 创建异步任务
-                logger.debug("创建异步任务")
                 asyncio.create_task(subheartflow.subheartflow_start_working())
                 logger.debug("创建异步任务 成功")
                 self._subheartflows[subheartflow_id] = subheartflow

src/plugins/PFC/action_planner.py

@@ -44,26 +44,31 @@ class ActionPlanner:
         logger.debug(f"开始规划行动：当前目标: {conversation_info.goal_list}")
 
         # 构建对话目标
+        goals_str = ""
         if conversation_info.goal_list:
-            last_goal = conversation_info.goal_list[-1]
+            for goal_reason in conversation_info.goal_list:
-            print(last_goal)
                 # 处理字典或元组格式
-            if isinstance(last_goal, tuple) and len(last_goal) == 2:
+                if isinstance(goal_reason, tuple):
-                goal, reasoning = last_goal
+                    # 假设元组的第一个元素是目标，第二个元素是原因
-            elif isinstance(last_goal, dict) and 'goal' in last_goal and 'reasoning' in last_goal:
+                    goal = goal_reason[0]
-                # 处理字典格式
+                    reasoning = goal_reason[1] if len(goal_reason) > 1 else "没有明确原因"
-                goal = last_goal.get('goal', "目前没有明确对话目标")
+                elif isinstance(goal_reason, dict):
-                reasoning = last_goal.get('reasoning', "目前没有明确对话目标，最好思考一个对话目标")
+                    goal = goal_reason.get('goal')
+                    reasoning = goal_reason.get('reasoning', "没有明确原因")
                 else:
-                # 处理未知格式
+                    # 如果是其他类型，尝试转为字符串
-                goal = "目前没有明确对话目标"
+                    goal = str(goal_reason)
-                reasoning = "目前没有明确对话目标，最好思考一个对话目标"
+                    reasoning = "没有明确原因"
+                
+                goal_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
+                goals_str += goal_str
         else:
             goal = "目前没有明确对话目标"
             reasoning = "目前没有明确对话目标，最好思考一个对话目标"
+            goals_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
 
         # 获取聊天历史记录
-        chat_history_list = observation_info.chat_history
+        chat_history_list = observation_info.chat_history[-20:] if len(observation_info.chat_history) >= 20 else observation_info.chat_history
         chat_history_text = ""
         for msg in chat_history_list:
             chat_history_text += f"{msg.get('detailed_plain_text', '')}\n"
@@ -80,15 +85,30 @@ class ActionPlanner:
         personality_text = f"你的名字是{self.name}，{self.personality_info}"
 
         # 构建action历史文本
-        action_history_list = conversation_info.done_action
+        action_history_list = conversation_info.done_action[-10:] if len(conversation_info.done_action) >= 10 else conversation_info.done_action
         action_history_text = "你之前做的事情是："
         for action in action_history_list:
-            action_history_text += f"{action}\n"
+            if isinstance(action, dict):
+                action_type = action.get('action')
+                action_reason = action.get('reason')
+                action_status = action.get('status')
+                if action_status == "recall":
+                    action_history_text += f"原本打算：{action_type}，但是因为有新消息，你发现这个行动不合适，所以你没做\n"
+                elif action_status == "done":
+                    action_history_text += f"你之前做了：{action_type}，原因：{action_reason}\n"
+            elif isinstance(action, tuple):
+                # 假设元组的格式是(action_type, action_reason, action_status)
+                action_type = action[0] if len(action) > 0 else "未知行动"
+                action_reason = action[1] if len(action) > 1 else "未知原因"
+                action_status = action[2] if len(action) > 2 else "done"
+                if action_status == "recall":
+                    action_history_text += f"原本打算：{action_type}，但是因为有新消息，你发现这个行动不合适，所以你没做\n"
+                elif action_status == "done":
+                    action_history_text += f"你之前做了：{action_type}，原因：{action_reason}\n"
 
         prompt = f"""{personality_text}。现在你在参与一场QQ聊天，请分析以下内容，根据信息决定下一步行动：
 
-当前对话目标：{goal}
+当前对话目标：{goals_str}
-产生该对话目标的原因：{reasoning}
 
 {action_history_text}
 
@@ -98,10 +118,11 @@ class ActionPlanner:
 请你接下去想想要你要做什么，可以发言，可以等待，可以倾听，可以调取知识。注意不同行动类型的要求，不要重复发言：
 行动类型：
 fetch_knowledge: 需要调取知识，当需要专业知识或特定信息时选择
-wait: 当你做出了发言,对方尚未回复时等待对方的回复
+wait: 当你做出了发言,对方尚未回复时暂时等待对方的回复
 listening: 倾听对方发言，当你认为对方发言尚未结束时采用
 direct_reply: 不符合上述情况，回复对方，注意不要过多或者重复发言
 rethink_goal: 重新思考对话目标，当发现对话目标不合适时选择，会重新思考对话目标
+end_conversation: 结束对话，当你觉得谈话暂时结束时选择，停止该场对话
 
 请以JSON格式输出，包含以下字段：
 1. action: 行动类型，注意你之前的行为
@@ -126,7 +147,7 @@ rethink_goal: 重新思考对话目标，当发现对话目标不合适时选择
             reason = result["reason"]
 
             # 验证action类型
-            if action not in ["direct_reply", "fetch_knowledge", "wait", "listening", "rethink_goal"]:
+            if action not in ["direct_reply", "fetch_knowledge", "wait", "listening", "rethink_goal", "end_conversation"]:
                 logger.warning(f"未知的行动类型: {action}，默认使用listening")
                 action = "listening"
 

src/plugins/PFC/chat_observer.py

@@ -198,7 +198,7 @@ class ChatObserver:
             self.last_message_read = new_messages[-1]
             self.last_message_time = new_messages[-1]["time"]
             
-        print(f"获取数据库中找到的新消息: {new_messages}")
+        # print(f"获取数据库中找到的新消息: {new_messages}")
 
         return new_messages
 

src/plugins/PFC/conversation.py

@@ -3,7 +3,7 @@ import datetime
 from typing import Dict, Any
 from ..chat.message import Message
 from .pfc_types import ConversationState
-from .pfc import ChatObserver, GoalAnalyzer, Waiter, DirectMessageSender
+from .pfc import ChatObserver, GoalAnalyzer, DirectMessageSender
 from src.common.logger import get_module_logger
 from .action_planner import ActionPlanner
 from .observation_info import ObservationInfo
@@ -13,6 +13,8 @@ from ..chat.chat_stream import ChatStream
 from ..message.message_base import UserInfo
 from src.plugins.chat.chat_stream import chat_manager
 from .pfc_KnowledgeFetcher import KnowledgeFetcher
+from .waiter import Waiter
+
 import traceback
 
 logger = get_module_logger("pfc_conversation")
@@ -95,6 +97,15 @@ class Conversation:
             # 执行行动
             await self._handle_action(action, reason, self.observation_info, self.conversation_info)
             
+            for goal in self.conversation_info.goal_list:
+                # 检查goal是否为元组类型，如果是元组则使用索引访问，如果是字典则使用get方法
+                if isinstance(goal, tuple):
+                    # 假设元组的第一个元素是目标内容
+                    print(f"goal: {goal}")
+                    if goal[0] == "结束对话":
+                        self.should_continue = False
+                        break
+
     def _check_new_messages_after_planning(self):
         """检查在规划后是否有新消息"""
         if self.observation_info.new_messages_count > 0:
@@ -151,14 +162,19 @@ class Conversation:
 
             if self._check_new_messages_after_planning():
                 logger.info("333333发现新消息，重新考虑行动")
+                conversation_info.done_action[-1].update(
+                    {
+                        "status": "recall",
+                        "time": datetime.datetime.now().strftime("%H:%M:%S"),
+                    }
+                )
                 return None
 
             await self._send_reply()
 
-            conversation_info.done_action.append(
+            
+            conversation_info.done_action[-1].update(
                 {
-                    "action": action,
-                    "reason": reason,
                     "status": "done",
                     "time": datetime.datetime.now().strftime("%H:%M:%S"),
                 }
@@ -184,16 +200,17 @@ class Conversation:
         elif action == "listening":
             self.state = ConversationState.LISTENING
             logger.info("倾听对方发言...")
-            if await self.waiter.wait():  # 如果返回True表示超时
+            await self.waiter.wait_listening(conversation_info)
-                await self._send_timeout_message()
+
-                await self._stop_conversation()
+
+        elif action == "end_conversation":
+            self.should_continue = False
+            logger.info("决定结束对话...")
 
         else:  # wait
             self.state = ConversationState.WAITING
             logger.info("等待更多信息...")
-            if await self.waiter.wait():  # 如果返回True表示超时
+            await self.waiter.wait(self.conversation_info)
-                await self._send_timeout_message()
-                await self._stop_conversation()
 
     async def _send_timeout_message(self):
         """发送超时结束消息"""

src/plugins/PFC/message_storage.py

@@ -54,7 +54,7 @@ class MongoDBMessageStorage(MessageStorage):
 
     async def get_messages_after(self, chat_id: str, message_time: float) -> List[Dict[str, Any]]:
         query = {"chat_id": chat_id}
-        print(f"storage_check_message: {message_time}")
+        # print(f"storage_check_message: {message_time}")
 
         query["time"] = {"$gt": message_time}
 

src/plugins/PFC/observation_info.py

@@ -157,8 +157,8 @@ class ObservationInfo:
         Args:
             message: 消息数据
         """
-        print("1919810-----------------------------------------------------")
+        # print("1919810-----------------------------------------------------")
-        logger.debug(f"更新信息from_message: {message}")
+        # logger.debug(f"更新信息from_message: {message}")
         self.last_message_time = message["time"]
         self.last_message_id = message["message_id"]
         

src/plugins/PFC/pfc.py

@@ -54,11 +54,28 @@ class GoalAnalyzer:
             Tuple[str, str, str]: (目标, 方法, 原因)
         """
         # 构建对话目标
-        goal_list = conversation_info.goal_list
+        goals_str = ""
-        goal_text = ""
+        if conversation_info.goal_list:
-        for goal, reason in goal_list:
+            for goal_reason in conversation_info.goal_list:
-            goal_text += f"目标：{goal};"
+                # 处理字典或元组格式
-            goal_text += f"原因：{reason}\n"
+                if isinstance(goal_reason, tuple):
+                    # 假设元组的第一个元素是目标，第二个元素是原因
+                    goal = goal_reason[0]
+                    reasoning = goal_reason[1] if len(goal_reason) > 1 else "没有明确原因"
+                elif isinstance(goal_reason, dict):
+                    goal = goal_reason.get('goal')
+                    reasoning = goal_reason.get('reasoning', "没有明确原因")
+                else:
+                    # 如果是其他类型，尝试转为字符串
+                    goal = str(goal_reason)
+                    reasoning = "没有明确原因"
+                
+                goal_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
+                goals_str += goal_str
+        else:
+            goal = "目前没有明确对话目标"
+            reasoning = "目前没有明确对话目标，最好思考一个对话目标"
+            goals_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
 
         # 获取聊天历史记录
         chat_history_list = observation_info.chat_history
@@ -88,7 +105,7 @@ class GoalAnalyzer:
 
 {action_history_text}
 当前对话目标：
-{goal_text}
+{goals_str}
 
 聊天记录：
 {chat_history_text}
@@ -98,6 +115,7 @@ class GoalAnalyzer:
 2. 修改现有目标
 3. 添加新目标
 4. 删除不再相关的目标
+5. 如果你想结束对话，请设置一个目标，目标goal为"结束对话"，原因reasoning为你希望结束对话
 
 请以JSON数组格式输出当前的所有对话目标，每个目标包含以下字段：
 1. goal: 对话目标（简短的一句话）
@@ -275,38 +293,6 @@ class GoalAnalyzer:
             return False, False, f"分析出错: {str(e)}"
 
 
-class Waiter:
-    """快 速 等 待"""
-
-    def __init__(self, stream_id: str):
-        self.chat_observer = ChatObserver.get_instance(stream_id)
-        self.personality_info = Individuality.get_instance().get_prompt(type="personality", x_person=2, level=2)
-        self.name = global_config.BOT_NICKNAME
-
-    async def wait(self) -> bool:
-        """等待
-
-        Returns:
-            bool: 是否超时（True表示超时）
-        """
-        # 使用当前时间作为等待开始时间
-        wait_start_time = time.time()
-        self.chat_observer.waiting_start_time = wait_start_time  # 设置等待开始时间
-
-        while True:
-            # 检查是否有新消息
-            if self.chat_observer.new_message_after(wait_start_time):
-                logger.info("等待结束，收到新消息")
-                return False
-
-            # 检查是否超时
-            if time.time() - wait_start_time > 300:
-                logger.info("等待超过300秒，结束对话")
-                return True
-
-            await asyncio.sleep(1)
-            logger.info("等待中...")
-
 
 class DirectMessageSender:
     """直接发送消息到平台的发送器"""

src/plugins/PFC/pfc_manager.py

@@ -41,7 +41,7 @@ class PFCManager:
             logger.debug(f"会话实例正在初始化中: {stream_id}")
             return None
 
-        if stream_id in self._instances:
+        if stream_id in self._instances and self._instances[stream_id].should_continue:
             logger.debug(f"使用现有会话实例: {stream_id}")
             return self._instances[stream_id]
 

src/plugins/PFC/reply_generator.py

@@ -16,7 +16,7 @@ class ReplyGenerator:
 
     def __init__(self, stream_id: str):
         self.llm = LLM_request(
-            model=global_config.llm_normal, temperature=0.7, max_tokens=300, request_type="reply_generation"
+            model=global_config.llm_normal, temperature=0.3, max_tokens=300, request_type="reply_generation"
         )
         self.personality_info = Individuality.get_instance().get_prompt(type="personality", x_person=2, level=2)
         self.name = global_config.BOT_NICKNAME
@@ -39,33 +39,76 @@ class ReplyGenerator:
         # 构建提示词
         logger.debug(f"开始生成回复：当前目标: {conversation_info.goal_list}")
 
-        goal_list = conversation_info.goal_list
+        # 构建对话目标
-        goal_text = ""
+        goals_str = ""
-        for goal, reason in goal_list:
+        if conversation_info.goal_list:
-            goal_text += f"目标：{goal};"
+            for goal_reason in conversation_info.goal_list:
-            goal_text += f"原因：{reason}\n"
+                # 处理字典或元组格式
+                if isinstance(goal_reason, tuple):
+                    # 假设元组的第一个元素是目标，第二个元素是原因
+                    goal = goal_reason[0]
+                    reasoning = goal_reason[1] if len(goal_reason) > 1 else "没有明确原因"
+                elif isinstance(goal_reason, dict):
+                    goal = goal_reason.get('goal')
+                    reasoning = goal_reason.get('reasoning', "没有明确原因")
+                else:
+                    # 如果是其他类型，尝试转为字符串
+                    goal = str(goal_reason)
+                    reasoning = "没有明确原因"
+                
+                goal_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
+                goals_str += goal_str
+        else:
+            goal = "目前没有明确对话目标"
+            reasoning = "目前没有明确对话目标，最好思考一个对话目标"
+            goals_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
             
         # 获取聊天历史记录
-        chat_history_list = observation_info.chat_history
+        chat_history_list = observation_info.chat_history[-20:] if len(observation_info.chat_history) >= 20 else observation_info.chat_history
         chat_history_text = ""
         for msg in chat_history_list:
-            chat_history_text += f"{msg}\n"
+            chat_history_text += f"{msg.get('detailed_plain_text', '')}\n"
 
-        # 整理知识缓存
+        if observation_info.new_messages_count > 0:
-        knowledge_text = ""
+            new_messages_list = observation_info.unprocessed_messages
-        knowledge_list = conversation_info.knowledge_list
+
-        for knowledge in knowledge_list:
+            chat_history_text += f"有{observation_info.new_messages_count}条新消息：\n"
-            knowledge_text += f"知识：{knowledge}\n"
+            for msg in new_messages_list:
+                chat_history_text += f"{msg.get('detailed_plain_text', '')}\n"
+
+            observation_info.clear_unprocessed_messages()
 
         personality_text = f"你的名字是{self.name}，{self.personality_info}"
 
+        # 构建action历史文本
+        action_history_list = conversation_info.done_action[-10:] if len(conversation_info.done_action) >= 10 else conversation_info.done_action
+        action_history_text = "你之前做的事情是："
+        for action in action_history_list:
+            if isinstance(action, dict):
+                action_type = action.get('action')
+                action_reason = action.get('reason')
+                action_status = action.get('status')
+                if action_status == "recall":
+                    action_history_text += f"原本打算：{action_type}，但是因为有新消息，你发现这个行动不合适，所以你没做\n"
+                elif action_status == "done":
+                    action_history_text += f"你之前做了：{action_type}，原因：{action_reason}\n"
+            elif isinstance(action, tuple):
+                # 假设元组的格式是(action_type, action_reason, action_status)
+                action_type = action[0] if len(action) > 0 else "未知行动"
+                action_reason = action[1] if len(action) > 1 else "未知原因"
+                action_status = action[2] if len(action) > 2 else "done"
+                if action_status == "recall":
+                    action_history_text += f"原本打算：{action_type}，但是因为有新消息，你发现这个行动不合适，所以你没做\n"
+                elif action_status == "done":
+                    action_history_text += f"你之前做了：{action_type}，原因：{action_reason}\n"
+
         prompt = f"""{personality_text}。现在你在参与一场QQ聊天，请根据以下信息生成回复：
 
-当前对话目标：{goal_text}
+当前对话目标：{goals_str}
-{knowledge_text}
 最近的聊天记录：
 {chat_history_text}
 
+
 请根据上述信息，以你的性格特征生成一个自然、得体的回复。回复应该：
 1. 符合对话目标，以"你"的角度发言
 2. 体现你的性格特征

src/plugins/PFC/waiter.py

@@ -1,46 +1,81 @@
 from src.common.logger import get_module_logger
 from .chat_observer import ChatObserver
+from .conversation_info import ConversationInfo
+from src.individuality.individuality import Individuality
+from ..config.config import global_config
+import time
+import asyncio
 
 logger = get_module_logger("waiter")
 
 
 class Waiter:
-    """等待器，用于等待对话流中的事件"""
+    """快 速 等 待"""
 
     def __init__(self, stream_id: str):
-        self.stream_id = stream_id
         self.chat_observer = ChatObserver.get_instance(stream_id)
+        self.personality_info = Individuality.get_instance().get_prompt(type="personality", x_person=2, level=2)
+        self.name = global_config.BOT_NICKNAME
 
-    async def wait(self, timeout: float = 20.0) -> bool:
+    async def wait(self, conversation_info: ConversationInfo) -> bool:
-        """等待用户回复或超时
+        """等待
-
-        Args:
-            timeout: 超时时间（秒）
 
         Returns:
-            bool: 如果因为超时返回则为True，否则为False
+            bool: 是否超时（True表示超时）
         """
-        try:
+        # 使用当前时间作为等待开始时间
-            message_before = self.chat_observer.get_last_message()
+        wait_start_time = time.time()
+        self.chat_observer.waiting_start_time = wait_start_time  # 设置等待开始时间
 
-            # 等待新消息
+        while True:
-            logger.debug(f"等待新消息，超时时间: {timeout}秒")
+            # 检查是否有新消息
-
+            if self.chat_observer.new_message_after(wait_start_time):
-            is_timeout = await self.chat_observer.wait_for_update(timeout=timeout)
+                logger.info("等待结束，收到新消息")
-            if is_timeout:
-                logger.debug("等待超时，没有收到新消息")
-                return True
-
-            # 检查是否是新消息
-            message_after = self.chat_observer.get_last_message()
-            if message_before and message_after and message_before.get("message_id") == message_after.get("message_id"):
-                # 如果消息ID相同，说明没有新消息
-                logger.debug("没有收到新消息")
-                return True
-
-            logger.debug("收到新消息")
                 return False
 
-        except Exception as e:
+            # 检查是否超时
-            logger.error(f"等待时出错: {str(e)}")
+            if time.time() - wait_start_time > 15:
+                logger.info("等待超过300秒，结束对话")
+                wait_goal = {
+                    "goal": "你等待了5分钟，思考接下来要做什么",
+                    "reason": "对方很久没有回复你的消息了"
+                }
+                conversation_info.goal_list.append(wait_goal)
+                print(f"添加目标: {wait_goal}")
+                
                 return True
+
+            await asyncio.sleep(1)
+            logger.info("等待中...")
+            
+    async def wait_listening(self, conversation_info: ConversationInfo) -> bool:
+        """等待倾听
+
+        Returns:
+            bool: 是否超时（True表示超时）
+        """
+        # 使用当前时间作为等待开始时间
+        wait_start_time = time.time()
+        self.chat_observer.waiting_start_time = wait_start_time  # 设置等待开始时间
+
+        while True:
+            # 检查是否有新消息
+            if self.chat_observer.new_message_after(wait_start_time):
+                logger.info("等待结束，收到新消息")
+                return False
+
+            # 检查是否超时
+            if time.time() - wait_start_time > 30:
+                logger.info("等待超过300秒，结束对话")
+                wait_goal = {
+                    "goal": "你等待了5分钟，思考接下来要做什么",
+                    "reason": "对方话说一半消失了，很久没有回复"
+                }
+                conversation_info.goal_list.append(wait_goal)
+                print(f"添加目标: {wait_goal}")
+                
+                return True
+
+            await asyncio.sleep(1)
+            logger.info("等待中...")
+

src/plugins/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 = "0.6.2"
-mai_version_fix = "snapshot-1"
+mai_version_fix = "snapshot-2"
 
 if mai_version_fix:
     if is_test:

src/plugins/memory_system/debug_memory.py

@@ -26,22 +26,7 @@ async def test_memory_system():
 
         # 测试记忆检索
         test_text = "千石可乐在群里聊天"
-        test_text = """[03-24 10:39:37] 麦麦(ta的id:2814567326): 早说散步结果下雨改成室内运动啊
+
-[03-24 10:39:37] 麦麦(ta的id:2814567326): [回复：变量] 变量就像今天计划总变
-[03-24 10:39:44] 状态异常(ta的id:535554838): 要把本地文件改成弹出来的路径吗
-[03-24 10:40:35] 状态异常(ta的id:535554838): [图片：这张图片显示的是Windows系统的环境变量设置界面。界面左侧列出了多个环境变量的值，包括Intel Dev Redist、Windows、Windows PowerShell、OpenSSH、NVIDIA Corporation的目录等。右侧有新建、编辑、浏览、删除、上移、下移和编辑文本等操作按钮。图片下方有一个错误提示框，显示"Windows找不到文件'mongodb\\bin\\mongod.exe'。请确定文件名是否正确后，再试一次。"这意味着用户试图运行MongoDB的mongod.exe程序时，系统找不到该文件。这可能是因为MongoDB的安装路径未正确添加到系统环境变量中，或者文件路径有误。
-图片的含义可能是用户正在尝试设置MongoDB的环境变量，以便在命令行或其他程序中使用MongoDB。如果用户正确设置了环境变量，那么他们应该能够通过命令行或其他方式启动MongoDB服务。]
-[03-24 10:41:08] 一根猫(ta的id:108886006): [回复 麦麦 的消息:  [回复某人消息] 改系统变量或者删库重配 ] [@麦麦] 我中途修改人格，需要重配吗
-[03-24 10:41:54] 麦麦(ta的id:2814567326): [回复：[回复 麦麦 的消息:  [回复某人消息] 改系统变量或者删库重配 ] [@麦麦] 我中途修改人格，需要重配吗] 看情况
-[03-24 10:41:54] 麦麦(ta的id:2814567326): 难
-[03-24 10:41:54] 麦麦(ta的id:2814567326): 小改变量就行，大动骨安排重配像游戏副本南度改太大会崩
-[03-24 10:45:33] 霖泷(ta的id:1967075066): 话说现在思考高达一分钟
-[03-24 10:45:38] 霖泷(ta的id:1967075066): 是不是哪里出问题了
-[03-24 10:45:39] 艾卡(ta的id:1786525298): [表情包：这张表情包展示了一个动漫角色，她有着紫色的头发和大大的眼睛，表情显得有些困惑或不解。她的头上有一个问号，进一步强调了她的疑惑。整体情感表达的是困惑或不解。]
-[03-24 10:46:12] (ta的id:3229291803): [表情包：这张表情包显示了一只手正在做"点赞"的动作，通常表示赞同、喜欢或支持。这个表情包所表达的情感是积极的、赞同的或支持的。]
-[03-24 10:46:37] 星野風禾(ta的id:2890165435): 还能思考高达
-[03-24 10:46:39] 星野風禾(ta的id:2890165435): 什么知识库
-[03-24 10:46:49] ❦幻凌慌てない(ta的id:2459587037): 为什么改了回复系数麦麦还是不怎么回复？大佬们"""  # noqa: E501
 
         # test_text = '''千石可乐：分不清AI的陪伴和人类的陪伴,是这样吗？'''
         print(f"开始测试记忆检索，测试文本: {test_text}\n")
@@ -56,21 +41,6 @@ async def test_memory_system():
             print(f"主题: {topic}")
             print(f"- {memory_items}")
 
-        # 测试记忆遗忘
-        # forget_start_time = time.time()
-        # # print("开始测试记忆遗忘...")
-        # await hippocampus_manager.forget_memory(percentage=0.005)
-        # # print("记忆遗忘完成")
-        # forget_end_time = time.time()
-        # print(f"记忆遗忘耗时: {forget_end_time - forget_start_time:.2f} 秒")
-
-        # 获取所有节点
-        # nodes = hippocampus_manager.get_all_node_names()
-        # print(f"当前记忆系统中的节点数量: {len(nodes)}")
-        # print("节点列表:")
-        # for node in nodes:
-        #     print(f"- {node}")
-
     except Exception as e:
         print(f"测试过程中出现错误: {e}")
         raise