Merge branch 'dev' of https://github.com/MaiM-with-u/MaiBot into dev

bot.py

@@ -16,7 +16,7 @@ confirm_logger_config = LogConfig(
     console_format=CONFIRM_STYLE_CONFIG["console_format"],
     file_format=CONFIRM_STYLE_CONFIG["file_format"],
 )
-confirm_logger = get_module_logger("main_bot", config=confirm_logger_config)
+confirm_logger = get_module_logger("confirm", config=confirm_logger_config)
 # 获取没有加载env时的环境变量
 env_mask = {key: os.getenv(key) for key in os.environ}
 

src/do_tool/tool_can_use/__init__.py

@@ -7,5 +7,14 @@ from src.do_tool.tool_can_use.base_tool import (
     TOOL_REGISTRY
 )
 
+__all__ = [
+    'BaseTool',
+    'register_tool',
+    'discover_tools',
+    'get_all_tool_definitions',
+    'get_tool_instance',
+    'TOOL_REGISTRY'
+]
+
 # 自动发现并注册工具
-discover_tools() 
+discover_tools()

src/do_tool/tool_can_use/base_tool.py

@@ -1,4 +1,4 @@
-from typing import Dict, List, Any, Optional, Union, Type
+from typing import Dict, List, Any, Optional, Type
 import inspect
 import importlib
 import pkgutil
@@ -73,13 +73,9 @@ def discover_tools():
     # 获取当前目录路径
     current_dir = os.path.dirname(os.path.abspath(__file__))
     package_name = os.path.basename(current_dir)
-    parent_dir = os.path.dirname(current_dir)
-    
-    # 导入当前包
-    package = importlib.import_module(f"src.do_tool.{package_name}")
     
     # 遍历包中的所有模块
-    for _, module_name, is_pkg in pkgutil.iter_modules([current_dir]):
+    for _, module_name, _ in pkgutil.iter_modules([current_dir]):
         # 跳过当前模块和__pycache__
         if module_name == "base_tool" or module_name.startswith("__"):
             continue
@@ -88,7 +84,7 @@ def discover_tools():
         module = importlib.import_module(f"src.do_tool.{package_name}.{module_name}")
         
         # 查找模块中的工具类
-        for name, obj in inspect.getmembers(module):
+        for _, obj in inspect.getmembers(module):
             if inspect.isclass(obj) and issubclass(obj, BaseTool) and obj != BaseTool:
                 register_tool(obj)
     
@@ -116,4 +112,4 @@ def get_tool_instance(tool_name: str) -> Optional[BaseTool]:
     tool_class = TOOL_REGISTRY.get(tool_name)
     if not tool_class:
         return None
-    return tool_class() 
+    return tool_class()

src/do_tool/tool_can_use/get_knowledge.py

@@ -2,7 +2,7 @@ from src.do_tool.tool_can_use.base_tool import BaseTool, register_tool
 from src.plugins.chat.utils import get_embedding
 from src.common.database import db
 from src.common.logger import get_module_logger
-from typing import Dict, Any, Union, List
+from typing import Dict, Any, Union
 
 logger = get_module_logger("get_knowledge_tool")
 

src/do_tool/tool_use.py

@@ -5,7 +5,6 @@ from src.common.database import db
 import time
 import json
 from src.common.logger import get_module_logger
-from typing import Union
 from src.do_tool.tool_can_use import get_all_tool_definitions, get_tool_instance
 
 logger = get_module_logger("tool_use")

src/heart_flow/heartflow.py

@@ -43,11 +43,14 @@ def init_prompt():
 
 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()
@@ -63,7 +66,9 @@ 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"""
@@ -85,11 +90,8 @@ class Heartflow:
                 logger.info(f"已清理不活跃的子心流: {subheartflow_id}")
 
             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:
@@ -100,6 +102,17 @@ 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()
@@ -216,17 +229,13 @@ 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/heart_flow/observation.py

@@ -4,8 +4,6 @@ from datetime import datetime
 from src.plugins.models.utils_model import LLM_request
 from src.plugins.config.config import global_config
 from src.common.database import db
-from src.individuality.individuality import Individuality
-import random
 
 
 # 所有观察的基类

src/heart_flow/sub_heartflow.py

@@ -5,18 +5,17 @@ from src.plugins.models.utils_model import LLM_request
 from src.plugins.config.config import global_config
 import re
 import time
-from src.plugins.schedule.schedule_generator import bot_schedule
+# from src.plugins.schedule.schedule_generator import bot_schedule
-from src.plugins.memory_system.Hippocampus import HippocampusManager
+# from src.plugins.memory_system.Hippocampus import HippocampusManager
 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.plugins.chat.utils import get_embedding
-from src.common.database import db
+# from src.common.database import db
-from typing import Union
+# from typing import Union
 from src.individuality.individuality import Individuality
 import random
 from src.plugins.chat.chat_stream import ChatStream
 from src.plugins.person_info.relationship_manager import relationship_manager
 from src.plugins.chat.utils import get_recent_group_speaker
-import json
 from src.do_tool.tool_use import ToolUser   
 
 subheartflow_config = LogConfig(

src/plugins/PFC/action_planner.py

@@ -44,39 +44,71 @@ 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:
-            goal, reasoning = conversation_info.goal_list[-1]
+            for goal_reason in conversation_info.goal_list:
+                # 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"
 
         if observation_info.new_messages_count > 0:
             new_messages_list = observation_info.unprocessed_messages
 
             chat_history_text += f"有{observation_info.new_messages_count}条新消息：\n"
             for msg in new_messages_list:
-                chat_history_text += f"{msg}\n"
+                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
+        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}
 
@@ -86,10 +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，长时间没回复或者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
@@ -114,7 +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

@@ -1,11 +1,12 @@
 import time
 import asyncio
-from typing import Optional, Dict, Any, List, Tuple
+import traceback
+from typing import Optional, Dict, Any, List 
 from src.common.logger import get_module_logger
 from ..message.message_base import UserInfo
 from ..config.config import global_config
 from .chat_states import NotificationManager, create_new_message_notification, create_cold_chat_notification
-from .message_storage import MessageStorage, MongoDBMessageStorage
+from .message_storage import  MongoDBMessageStorage
 
 logger = get_module_logger("chat_observer")
 
@@ -17,45 +18,39 @@ class ChatObserver:
     _instances: Dict[str, "ChatObserver"] = {}
 
     @classmethod
-    def get_instance(cls, stream_id: str, message_storage: Optional[MessageStorage] = None) -> "ChatObserver":
+    def get_instance(cls, stream_id: str) -> "ChatObserver":
         """获取或创建观察器实例
 
         Args:
             stream_id: 聊天流ID
-            message_storage: 消息存储实现，如果为None则使用MongoDB实现
 
         Returns:
             ChatObserver: 观察器实例
         """
         if stream_id not in cls._instances:
-            cls._instances[stream_id] = cls(stream_id, message_storage)
+            cls._instances[stream_id] = cls(stream_id)
         return cls._instances[stream_id]
 
-    def __init__(self, stream_id: str, message_storage: Optional[MessageStorage] = None):
+    def __init__(self, stream_id: str):
         """初始化观察器
 
         Args:
             stream_id: 聊天流ID
-            message_storage: 消息存储实现，如果为None则使用MongoDB实现
         """
         if stream_id in self._instances:
             raise RuntimeError(f"ChatObserver for {stream_id} already exists. Use get_instance() instead.")
 
         self.stream_id = stream_id
-        self.message_storage = message_storage or MongoDBMessageStorage()
+        self.message_storage = MongoDBMessageStorage()
 
-        self.last_user_speak_time: Optional[float] = None  # 对方上次发言时间
+        # self.last_user_speak_time: Optional[float] = None  # 对方上次发言时间
-        self.last_bot_speak_time: Optional[float] = None  # 机器人上次发言时间
+        # self.last_bot_speak_time: Optional[float] = None  # 机器人上次发言时间
-        self.last_check_time: float = time.time()  # 上次查看聊天记录时间
+        # self.last_check_time: float = time.time()  # 上次查看聊天记录时间
-        self.last_message_read: Optional[str] = None  # 最后读取的消息ID
+        self.last_message_read: Optional[Dict[str, Any]] = None  # 最后读取的消息ID
-        self.last_message_time: Optional[float] = None  # 最后一条消息的时间戳
+        self.last_message_time: float = time.time()
 
         self.waiting_start_time: float = time.time()  # 等待开始时间，初始化为当前时间
 
-        # 消息历史记录
-        self.message_history: List[Dict[str, Any]] = []  # 所有消息历史
-        self.last_message_id: Optional[str] = None  # 最后一条消息的ID
-        self.message_count: int = 0  # 消息计数
 
         # 运行状态
         self._running: bool = False
@@ -72,7 +67,7 @@ class ChatObserver:
         self.is_cold_chat_state: bool = False
 
         self.update_event = asyncio.Event()
-        self.update_interval = 5  # 更新间隔（秒）
+        self.update_interval = 2  # 更新间隔（秒）
         self.message_cache = []
         self.update_running = False
 
@@ -98,21 +93,17 @@ class ChatObserver:
         Args:
             message: 消息数据
         """
-        self.message_history.append(message)
+        try:
-        self.last_message_id = message["message_id"]
-        self.last_message_time = message["time"]  # 更新最后消息时间
-        self.message_count += 1
 
-        # 更新说话时间
+            # 发送新消息通知
-        user_info = UserInfo.from_dict(message.get("user_info", {}))
+            # logger.info(f"发送新ccchandleer消息通知: {message}")
-        if user_info.user_id == global_config.BOT_QQ:
+            notification = create_new_message_notification(sender="chat_observer", target="observation_info", message=message)
-            self.last_bot_speak_time = message["time"]
+            # logger.info(f"发送新消ddddd息通知: {notification}")
-        else:
+            # print(self.notification_manager)
-            self.last_user_speak_time = message["time"]
+            await self.notification_manager.send_notification(notification)
-
+        except Exception as e:
-        # 发送新消息通知
+            logger.error(f"添加消息到历史记录时出错: {e}")
-        notification = create_new_message_notification(sender="chat_observer", target="pfc", message=message)
+            print(traceback.format_exc())
-        await self.notification_manager.send_notification(notification)
 
         # 检查并更新冷场状态
         await self._check_cold_chat()
@@ -140,12 +131,6 @@ class ChatObserver:
             notification = create_cold_chat_notification(sender="chat_observer", target="pfc", is_cold=is_cold)
             await self.notification_manager.send_notification(notification)
 
-    async def get_new_message(self) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
-        """获取上一次观察的时间点后的新消息，插入到历史记录中，并返回新消息和历史记录两个对象"""
-        messages = await self.message_storage.get_messages_after(self.stream_id, self.last_message_read)
-        for message in messages:
-            await self._add_message_to_history(message)
-        return messages, self.message_history
 
     def new_message_after(self, time_point: float) -> bool:
         """判断是否在指定时间点后有新消息
@@ -156,9 +141,6 @@ class ChatObserver:
         Returns:
             bool: 是否有新消息
         """
-        if time_point is None:
-            logger.warning("time_point 为 None，返回 False")
-            return False
 
         if self.last_message_time is None:
             logger.debug("没有最后消息时间，返回 False")
@@ -210,10 +192,13 @@ class ChatObserver:
         Returns:
             List[Dict[str, Any]]: 新消息列表
         """
-        new_messages = await self.message_storage.get_messages_after(self.stream_id, self.last_message_read)
+        new_messages = await self.message_storage.get_messages_after(self.stream_id, self.last_message_time)
 
         if new_messages:
-            self.last_message_read = new_messages[-1]["message_id"]
+            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}")
 
         return new_messages
 
@@ -230,6 +215,8 @@ class ChatObserver:
 
         if new_messages:
             self.last_message_read = new_messages[-1]["message_id"]
+        
+        logger.debug(f"获取指定时间点111之前的消息: {new_messages}")
 
         return new_messages
 
@@ -237,20 +224,24 @@ class ChatObserver:
 
     async def _update_loop(self):
         """更新循环"""
-        try:
+        # try:
-            start_time = time.time()
+        #     start_time = time.time()
-            messages = await self._fetch_new_messages_before(start_time)
+        #     messages = await self._fetch_new_messages_before(start_time)
-            for message in messages:
+        #     for message in messages:
-                await self._add_message_to_history(message)
+        #         await self._add_message_to_history(message)
-        except Exception as e:
+        #     logger.debug(f"缓冲消息: {messages}")
-            logger.error(f"缓冲消息出错: {e}")
+        # except Exception as e:
+        #     logger.error(f"缓冲消息出错: {e}")
 
         while self._running:
             try:
                 # 等待事件或超时（1秒）
                 try:
+                    # print("等待事件")
                     await asyncio.wait_for(self._update_event.wait(), timeout=1)
+                   
                 except asyncio.TimeoutError:
+                    # print("超时")
                     pass  # 超时后也执行一次检查
 
                 self._update_event.clear()  # 重置触发事件
@@ -269,6 +260,7 @@ class ChatObserver:
 
             except Exception as e:
                 logger.error(f"更新循环出错: {e}")
+                logger.error(traceback.format_exc())
                 self._update_complete.set()  # 即使出错也要设置完成事件
 
     def trigger_update(self):
@@ -355,51 +347,6 @@ class ChatObserver:
 
         return time_info
 
-    def start_periodic_update(self):
-        """启动观察器的定期更新"""
-        if not self.update_running:
-            self.update_running = True
-            asyncio.create_task(self._periodic_update())
-
-    async def _periodic_update(self):
-        """定期更新消息历史"""
-        try:
-            while self.update_running:
-                await self._update_message_history()
-                await asyncio.sleep(self.update_interval)
-        except Exception as e:
-            logger.error(f"定期更新消息历史时出错: {str(e)}")
-
-    async def _update_message_history(self) -> bool:
-        """更新消息历史
-
-        Returns:
-            bool: 是否有新消息
-        """
-        try:
-            messages = await self.message_storage.get_messages_for_stream(self.stream_id, limit=50)
-
-            if not messages:
-                return False
-
-            # 检查是否有新消息
-            has_new_messages = False
-            if messages and (
-                not self.message_cache or messages[0]["message_id"] != self.message_cache[0]["message_id"]
-            ):
-                has_new_messages = True
-
-            self.message_cache = messages
-
-            if has_new_messages:
-                self.update_event.set()
-                self.update_event.clear()
-                return True
-            return False
-
-        except Exception as e:
-            logger.error(f"更新消息历史时出错: {str(e)}")
-            return False
 
     def get_cached_messages(self, limit: int = 50) -> List[Dict[str, Any]]:
         """获取缓存的消息历史
@@ -421,3 +368,6 @@ class ChatObserver:
         if not self.message_cache:
             return None
         return self.message_cache[0]
+    
+    def __str__(self):
+        return f"ChatObserver for {self.stream_id}"

src/plugins/PFC/chat_states.py

@@ -98,11 +98,17 @@ class NotificationManager:
             notification_type: 要处理的通知类型
             handler: 处理器实例
         """
+        print(1145145511114445551111444)
         if target not in self._handlers:
+            print("没11有target")
             self._handlers[target] = {}
         if notification_type not in self._handlers[target]:
+            print("没11有notification_type")
             self._handlers[target][notification_type] = []
+            print(self._handlers[target][notification_type])
+        print(f"注册1111111111111111111111处理器: {target} {notification_type} {handler}")
         self._handlers[target][notification_type].append(handler)
+        print(self._handlers[target][notification_type])
 
     def unregister_handler(self, target: str, notification_type: NotificationType, handler: NotificationHandler):
         """注销通知处理器
@@ -126,6 +132,7 @@ class NotificationManager:
     async def send_notification(self, notification: Notification):
         """发送通知"""
         self._notification_history.append(notification)
+        # print("kaishichul-----------------------------------i")
 
         # 如果是状态通知，更新活跃状态
         if isinstance(notification, StateNotification):
@@ -133,12 +140,16 @@ class NotificationManager:
                 self._active_states.add(notification.type)
             else:
                 self._active_states.discard(notification.type)
+                
 
         # 调用目标接收者的处理器
         target = notification.target
         if target in self._handlers:
             handlers = self._handlers[target].get(notification.type, [])
+            # print(1111111)
+            print(handlers)
             for handler in handlers:
+                print(f"调用处理器: {handler}")
                 await handler.handle_notification(notification)
 
     def get_active_states(self) -> Set[NotificationType]:
@@ -170,6 +181,13 @@ class NotificationManager:
             history = history[-limit:]
 
         return history
+    
+    def __str__(self):
+        str = ""
+        for target, handlers in self._handlers.items():
+            for notification_type, handler_list in handlers.items():
+                str += f"NotificationManager for {target} {notification_type} {handler_list}"
+        return str
 
 
 # 一些常用的通知创建函数
@@ -182,8 +200,9 @@ def create_new_message_notification(sender: str, target: str, message: Dict[str,
         target=target,
         data={
             "message_id": message.get("message_id"),
-            "content": message.get("content"),
+            "processed_plain_text": message.get("processed_plain_text"),
-            "sender": message.get("sender"),
+            "detailed_plain_text": message.get("detailed_plain_text"),
+            "user_info": message.get("user_info"),
             "time": message.get("time"),
         },
     )
@@ -276,3 +295,5 @@ class ChatStateManager:
 
         current_time = datetime.now().timestamp()
         return (current_time - self.state_info.last_message_time) <= threshold
+    
+    

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")
@@ -60,9 +62,10 @@ class Conversation:
             self.chat_observer = ChatObserver.get_instance(self.stream_id)
             self.chat_observer.start()
             self.observation_info = ObservationInfo()
-            self.observation_info.bind_to_chat_observer(self.stream_id)
+            self.observation_info.bind_to_chat_observer(self.chat_observer)
+            # print(self.chat_observer.get_cached_messages(limit=)
 
-            # 对话信息
+            
             self.conversation_info = ConversationInfo()
         except Exception as e:
             logger.error(f"初始化对话实例：注册信息组件失败: {e}")
@@ -93,6 +96,15 @@ 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"""
@@ -138,8 +150,11 @@ class Conversation:
         )
 
         if action == "direct_reply":
+            self.waiter.wait_accumulated_time = 0
+            
             self.state = ConversationState.GENERATING
             self.generated_reply = await self.reply_generator.generate(observation_info, conversation_info)
+            print(f"生成回复: {self.generated_reply}")
 
             # # 检查回复是否合适
             # is_suitable, reason, need_replan = await self.reply_generator.check_reply(
@@ -148,20 +163,28 @@ 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"),
                 }
             )
 
         elif action == "fetch_knowledge":
+            self.waiter.wait_accumulated_time = 0
+            
             self.state = ConversationState.FETCHING
             knowledge = "TODO:知识"
             topic = "TODO:关键词"
@@ -175,22 +198,25 @@ class Conversation:
                     self.conversation_info.knowledge_list[topic] += knowledge
 
         elif action == "rethink_goal":
+            self.waiter.wait_accumulated_time = 0
+            
             self.state = ConversationState.RETHINKING
             await self.goal_analyzer.analyze_goal(conversation_info, observation_info)
 
         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"""
@@ -212,15 +238,9 @@ class Conversation:
             logger.warning("没有生成回复")
             return
 
-        messages = self.chat_observer.get_cached_messages(limit=1)
-        if not messages:
-            logger.warning("没有最近的消息可以回复")
-            return
-
-        latest_message = self._convert_to_message(messages[0])
         try:
             await self.direct_sender.send_message(
-                chat_stream=self.chat_stream, content=self.generated_reply, reply_to_message=latest_message
+                chat_stream=self.chat_stream, content=self.generated_reply
             )
             self.chat_observer.trigger_update()  # 触发立即更新
             if not await self.chat_observer.wait_for_update():

src/plugins/PFC/message_storage.py

@@ -1,18 +1,17 @@
 from abc import ABC, abstractmethod
-from typing import List, Dict, Any, Optional
+from typing import List, Dict, Any
 from src.common.database import db
 
-
 class MessageStorage(ABC):
     """消息存储接口"""
 
     @abstractmethod
-    async def get_messages_after(self, chat_id: str, message_id: Optional[str] = None) -> List[Dict[str, Any]]:
+    async def get_messages_after(self, chat_id: str, message: Dict[str, Any]) -> List[Dict[str, Any]]:
         """获取指定消息ID之后的所有消息
 
         Args:
             chat_id: 聊天ID
-            message_id: 消息ID，如果为None则获取所有消息
+            message: 消息
 
         Returns:
             List[Dict[str, Any]]: 消息列表
@@ -53,14 +52,11 @@ class MongoDBMessageStorage(MessageStorage):
     def __init__(self):
         self.db = db
 
-    async def get_messages_after(self, chat_id: str, message_id: Optional[str] = None) -> List[Dict[str, Any]]:
+    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}")
 
-        if message_id:
+        query["time"] = {"$gt": message_time}
-            # 获取ID大于message_id的消息
-            last_message = self.db.messages.find_one({"message_id": message_id})
-            if last_message:
-                query["time"] = {"$gt": last_message["time"]}
 
         return list(self.db.messages.find(query).sort("time", 1))
 

src/plugins/PFC/notification_handler.py

@@ -1,71 +0,0 @@
-from typing import TYPE_CHECKING
-from src.common.logger import get_module_logger
-from .chat_states import NotificationHandler, Notification, NotificationType
-
-if TYPE_CHECKING:
-    from .conversation import Conversation
-
-logger = get_module_logger("notification_handler")
-
-
-class PFCNotificationHandler(NotificationHandler):
-    """PFC通知处理器"""
-
-    def __init__(self, conversation: "Conversation"):
-        """初始化PFC通知处理器
-
-        Args:
-            conversation: 对话实例
-        """
-        self.conversation = conversation
-
-    async def handle_notification(self, notification: Notification):
-        """处理通知
-
-        Args:
-            notification: 通知对象
-        """
-        logger.debug(f"收到通知: {notification.type.name}, 数据: {notification.data}")
-
-        # 根据通知类型执行不同的处理
-        if notification.type == NotificationType.NEW_MESSAGE:
-            # 新消息通知
-            await self._handle_new_message(notification)
-        elif notification.type == NotificationType.COLD_CHAT:
-            # 冷聊天通知
-            await self._handle_cold_chat(notification)
-        elif notification.type == NotificationType.COMMAND:
-            # 命令通知
-            await self._handle_command(notification)
-        else:
-            logger.warning(f"未知的通知类型: {notification.type.name}")
-
-    async def _handle_new_message(self, notification: Notification):
-        """处理新消息通知
-
-        Args:
-            notification: 通知对象
-        """
-
-        # 更新决策信息
-        observation_info = self.conversation.observation_info
-        observation_info.last_message_time = notification.data.get("time", 0)
-        observation_info.add_unprocessed_message(notification.data)
-
-        # 手动触发观察器更新
-        self.conversation.chat_observer.trigger_update()
-
-    async def _handle_cold_chat(self, notification: Notification):
-        """处理冷聊天通知
-
-        Args:
-            notification: 通知对象
-        """
-        # 获取冷聊天信息
-        cold_duration = notification.data.get("duration", 0)
-
-        # 更新决策信息
-        observation_info = self.conversation.observation_info
-        observation_info.conversation_cold_duration = cold_duration
-
-        logger.info(f"对话已冷: {cold_duration}秒")

src/plugins/PFC/observation_info.py

@@ -6,7 +6,7 @@ import time
 from dataclasses import dataclass, field
 from src.common.logger import get_module_logger
 from .chat_observer import ChatObserver
-from .chat_states import NotificationHandler
+from .chat_states import NotificationHandler, NotificationType
 
 logger = get_module_logger("observation_info")
 
@@ -22,63 +22,70 @@ class ObservationInfoHandler(NotificationHandler):
         """
         self.observation_info = observation_info
 
-    async def handle_notification(self, notification: Dict[str, Any]):
+    async def handle_notification(self, notification):
-        """处理通知
+        # 获取通知类型和数据
-
+        notification_type = notification.type
-        Args:
+        data = notification.data
-            notification: 通知数据
+        
-        """
+        if notification_type == NotificationType.NEW_MESSAGE:
-        notification_type = notification.get("type")
-        data = notification.get("data", {})
-
-        if notification_type == "NEW_MESSAGE":
             # 处理新消息通知
             logger.debug(f"收到新消息通知data: {data}")
-            message = data.get("message", {})
+            message_id = data.get("message_id")
+            processed_plain_text = data.get("processed_plain_text")
+            detailed_plain_text = data.get("detailed_plain_text") 
+            user_info = data.get("user_info")
+            time_value = data.get("time")
+            
+            message = {
+                "message_id": message_id,
+                "processed_plain_text": processed_plain_text,
+                "detailed_plain_text": detailed_plain_text,
+                "user_info": user_info,
+                "time": time_value
+            }
+            
             self.observation_info.update_from_message(message)
-            # self.observation_info.has_unread_messages = True
-            # self.observation_info.new_unread_message.append(message.get("processed_plain_text", ""))
 
-        elif notification_type == "COLD_CHAT":
+        elif notification_type == NotificationType.COLD_CHAT:
             # 处理冷场通知
             is_cold = data.get("is_cold", False)
             self.observation_info.update_cold_chat_status(is_cold, time.time())
 
-        elif notification_type == "ACTIVE_CHAT":
+        elif notification_type == NotificationType.ACTIVE_CHAT:
             # 处理活跃通知
             is_active = data.get("is_active", False)
             self.observation_info.is_cold = not is_active
 
-        elif notification_type == "BOT_SPEAKING":
+        elif notification_type == NotificationType.BOT_SPEAKING:
             # 处理机器人说话通知
             self.observation_info.is_typing = False
             self.observation_info.last_bot_speak_time = time.time()
 
-        elif notification_type == "USER_SPEAKING":
+        elif notification_type == NotificationType.USER_SPEAKING:
             # 处理用户说话通知
             self.observation_info.is_typing = False
             self.observation_info.last_user_speak_time = time.time()
 
-        elif notification_type == "MESSAGE_DELETED":
+        elif notification_type == NotificationType.MESSAGE_DELETED:
             # 处理消息删除通知
             message_id = data.get("message_id")
             self.observation_info.unprocessed_messages = [
                 msg for msg in self.observation_info.unprocessed_messages if msg.get("message_id") != message_id
             ]
 
-        elif notification_type == "USER_JOINED":
+        elif notification_type == NotificationType.USER_JOINED:
             # 处理用户加入通知
             user_id = data.get("user_id")
             if user_id:
                 self.observation_info.active_users.add(user_id)
 
-        elif notification_type == "USER_LEFT":
+        elif notification_type == NotificationType.USER_LEFT:
             # 处理用户离开通知
             user_id = data.get("user_id")
             if user_id:
                 self.observation_info.active_users.discard(user_id)
 
-        elif notification_type == "ERROR":
+        elif notification_type == NotificationType.ERROR:
             # 处理错误通知
             error_msg = data.get("error", "")
             logger.error(f"收到错误通知: {error_msg}")
@@ -100,6 +107,7 @@ class ObservationInfo:
     last_message_content: str = ""
     last_message_sender: Optional[str] = None
     bot_id: Optional[str] = None
+    chat_history_count: int = 0
     new_messages_count: int = 0
     cold_chat_duration: float = 0.0
 
@@ -117,28 +125,29 @@ class ObservationInfo:
         self.chat_observer = None
         self.handler = ObservationInfoHandler(self)
 
-    def bind_to_chat_observer(self, stream_id: str):
+    def bind_to_chat_observer(self, chat_observer: ChatObserver):
         """绑定到指定的chat_observer
 
         Args:
             stream_id: 聊天流ID
         """
-        self.chat_observer = ChatObserver.get_instance(stream_id)
+        self.chat_observer = chat_observer
         self.chat_observer.notification_manager.register_handler(
-            target="observation_info", notification_type="NEW_MESSAGE", handler=self.handler
+            target="observation_info", notification_type=NotificationType.NEW_MESSAGE, handler=self.handler
         )
         self.chat_observer.notification_manager.register_handler(
-            target="observation_info", notification_type="COLD_CHAT", handler=self.handler
+            target="observation_info", notification_type=NotificationType.COLD_CHAT, handler=self.handler
         )
+        print("1919810------------------------绑定-----------------------------")
 
     def unbind_from_chat_observer(self):
         """解除与chat_observer的绑定"""
         if self.chat_observer:
             self.chat_observer.notification_manager.unregister_handler(
-                target="observation_info", notification_type="NEW_MESSAGE", handler=self.handler
+                target="observation_info", notification_type=NotificationType.NEW_MESSAGE, handler=self.handler
             )
             self.chat_observer.notification_manager.unregister_handler(
-                target="observation_info", notification_type="COLD_CHAT", handler=self.handler
+                target="observation_info", notification_type=NotificationType.COLD_CHAT, handler=self.handler
             )
             self.chat_observer = None
 
@@ -148,8 +157,11 @@ class ObservationInfo:
         Args:
             message: 消息数据
         """
-        logger.debug(f"更新信息from_message: {message}")
+        # print("1919810-----------------------------------------------------")
+        # logger.debug(f"更新信息from_message: {message}")
         self.last_message_time = message["time"]
+        self.last_message_id = message["message_id"]
+        
         self.last_message_content = message.get("processed_plain_text", "")
 
         user_info = UserInfo.from_dict(message.get("user_info", {}))
@@ -169,7 +181,6 @@ class ObservationInfo:
     def update_changed(self):
         """更新changed状态"""
         self.changed = True
-        # self.meta_plan_trigger = True
 
     def update_cold_chat_status(self, is_cold: bool, current_time: float):
         """更新冷场状态
@@ -216,24 +227,10 @@ class ObservationInfo:
         """清空未处理消息列表"""
         # 将未处理消息添加到历史记录中
         for message in self.unprocessed_messages:
-            if "processed_plain_text" in message:
+            self.chat_history.append(message)
-                self.chat_history.append(message["processed_plain_text"])
         # 清空未处理消息列表
         self.has_unread_messages = False
         self.unprocessed_messages.clear()
+        self.chat_history_count = len(self.chat_history)
         self.new_messages_count = 0
 
-    def add_unprocessed_message(self, message: Dict[str, Any]):
-        """添加未处理的消息
-
-        Args:
-            message: 消息数据
-        """
-        # 防止重复添加同一消息
-        message_id = message.get("message_id")
-        if message_id and not any(m.get("message_id") == message_id for m in self.unprocessed_messages):
-            self.unprocessed_messages.append(message)
-            self.new_messages_count += 1
-
-            # 同时更新其他消息相关信息
-            self.update_from_message(message)

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}
@@ -98,20 +115,23 @@ 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格式输出当前的所有对话目标，包含以下字段：
+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）
 2. reasoning: 对话原因，为什么设定这个目标（简要解释）
 
 输出格式示例：
-{{
+[
-"goal": "回答用户关于Python编程的具体问题",
+  {{
-"reasoning": "用户提出了关于Python的技术问题，需要专业且准确的解答"
+    "goal": "回答用户关于Python编程的具体问题",
-}},
+    "reasoning": "用户提出了关于Python的技术问题，需要专业且准确的解答"
-{{
+  }},
-"goal": "回答用户关于python安装的具体问题",
+  {{
-"reasoning": "用户提出了关于Python的技术问题，需要专业且准确的解答"
+    "goal": "回答用户关于python安装的具体问题",
-}}"""
+    "reasoning": "用户提出了关于Python的技术问题，需要专业且准确的解答"
+  }}
+]"""
 
         logger.debug(f"发送到LLM的提示词: {prompt}")
         try:
@@ -120,13 +140,37 @@ class GoalAnalyzer:
         except Exception as e:
             logger.error(f"分析对话目标时出错: {str(e)}")
             content = ""
-        # 使用简化函数提取JSON内容
+            
+        # 使用改进后的get_items_from_json函数处理JSON数组
         success, result = get_items_from_json(
-            content, "goal", "reasoning", required_types={"goal": str, "reasoning": str}
+            content, "goal", "reasoning", 
+            required_types={"goal": str, "reasoning": str},
+            allow_array=True
         )
-        # TODO
+        
-
+        if success:
-        conversation_info.goal_list.append(result)
+            # 判断结果是单个字典还是字典列表
+            if isinstance(result, list):
+                # 清空现有目标列表并添加新目标
+                conversation_info.goal_list = []
+                for item in result:
+                    goal = item.get("goal", "")
+                    reasoning = item.get("reasoning", "")
+                    conversation_info.goal_list.append((goal, reasoning))
+                
+                # 返回第一个目标作为当前主要目标（如果有）
+                if result:
+                    first_goal = result[0]
+                    return (first_goal.get("goal", ""), "", first_goal.get("reasoning", ""))
+            else:
+                # 单个目标的情况
+                goal = result.get("goal", "")
+                reasoning = result.get("reasoning", "")
+                conversation_info.goal_list.append((goal, reasoning))
+                return (goal, "", reasoning)
+        
+        # 如果解析失败，返回默认值
+        return ("", "", "")
 
     async def _update_goals(self, new_goal: str, method: str, reasoning: str):
         """更新目标列表
@@ -249,38 +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/pfc_utils.py

@@ -1,6 +1,6 @@
 import json
 import re
-from typing import Dict, Any, Optional, Tuple
+from typing import Dict, Any, Optional, Tuple, List, Union
 from src.common.logger import get_module_logger
 
 logger = get_module_logger("pfc_utils")
@@ -11,7 +11,8 @@ def get_items_from_json(
     *items: str,
     default_values: Optional[Dict[str, Any]] = None,
     required_types: Optional[Dict[str, type]] = None,
-) -> Tuple[bool, Dict[str, Any]]:
+    allow_array: bool = True,
+) -> Tuple[bool, Union[Dict[str, Any], List[Dict[str, Any]]]]:
     """从文本中提取JSON内容并获取指定字段
 
     Args:
@@ -19,18 +20,69 @@ def get_items_from_json(
         *items: 要提取的字段名
         default_values: 字段的默认值，格式为 {字段名: 默认值}
         required_types: 字段的必需类型，格式为 {字段名: 类型}
+        allow_array: 是否允许解析JSON数组
 
     Returns:
-        Tuple[bool, Dict[str, Any]]: (是否成功, 提取的字段字典)
+        Tuple[bool, Union[Dict[str, Any], List[Dict[str, Any]]]]: (是否成功, 提取的字段字典或字典列表)
     """
     content = content.strip()
     result = {}
-
+    
     # 设置默认值
     if default_values:
         result.update(default_values)
 
-    # 尝试解析JSON
+    # 首先尝试解析为JSON数组
+    if allow_array:
+        try:
+            # 尝试找到文本中的JSON数组
+            array_pattern = r"\[[\s\S]*\]"
+            array_match = re.search(array_pattern, content)
+            if array_match:
+                array_content = array_match.group()
+                json_array = json.loads(array_content)
+                
+                # 确认是数组类型
+                if isinstance(json_array, list):
+                    # 验证数组中的每个项目是否包含所有必需字段
+                    valid_items = []
+                    for item in json_array:
+                        if not isinstance(item, dict):
+                            continue
+                            
+                        # 检查是否有所有必需字段
+                        if all(field in item for field in items):
+                            # 验证字段类型
+                            if required_types:
+                                type_valid = True
+                                for field, expected_type in required_types.items():
+                                    if field in item and not isinstance(item[field], expected_type):
+                                        type_valid = False
+                                        break
+                                
+                                if not type_valid:
+                                    continue
+                            
+                            # 验证字符串字段不为空
+                            string_valid = True
+                            for field in items:
+                                if isinstance(item[field], str) and not item[field].strip():
+                                    string_valid = False
+                                    break
+                            
+                            if not string_valid:
+                                continue
+                                
+                            valid_items.append(item)
+                    
+                    if valid_items:
+                        return True, valid_items
+        except json.JSONDecodeError:
+            logger.debug("JSON数组解析失败，尝试解析单个JSON对象")
+        except Exception as e:
+            logger.debug(f"尝试解析JSON数组时出错: {str(e)}")
+
+    # 尝试解析JSON对象
     try:
         json_data = json.loads(content)
     except json.JSONDecodeError:

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 +1,86 @@
 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
+        
+        self.wait_accumulated_time = 0
 
-    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):
+                logger.info("等待结束，收到新消息")
+                return False
 
-            is_timeout = await self.chat_observer.wait_for_update(timeout=timeout)
+            # 检查是否超时
-            if is_timeout:
+            if time.time() - wait_start_time > 300:
-                logger.debug("等待超时，没有收到新消息")
+                self.wait_accumulated_time += 300
+                
+                logger.info("等待超过300秒，结束对话")
+                wait_goal = {
+                    "goal": f"你等待了{self.wait_accumulated_time/60}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
 
-            # 检查是否是新消息
+            await asyncio.sleep(1)
-            message_after = self.chat_observer.get_last_message()
+            logger.info("等待中...")
-            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
+    async def wait_listening(self, conversation_info: ConversationInfo) -> bool:
-                logger.debug("没有收到新消息")
+        """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 > 300:
+                self.wait_accumulated_time += 300
+                logger.info("等待超过300秒，结束对话")
+                wait_goal = {
+                    "goal": f"你等待了{self.wait_accumulated_time/60}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
 
-            logger.debug("收到新消息")
+            await asyncio.sleep(1)
-            return False
+            logger.info("等待中...")
 
-        except Exception as e:
-            logger.error(f"等待时出错: {str(e)}")
-            return True

src/plugins/chat_module/only_process/only_message_process.py

@@ -2,7 +2,6 @@ from src.common.logger import get_module_logger
 from src.plugins.chat.message import MessageRecv
 from src.plugins.storage.storage import MessageStorage
 from src.plugins.config.config import global_config
-import re
 from datetime import datetime
 
 logger = get_module_logger("pfc_message_processor")
@@ -28,7 +27,7 @@ class MessageProcessor:
     def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
         """检查消息是否匹配过滤正则表达式"""
         for pattern in global_config.ban_msgs_regex:
-            if re.search(pattern, text):
+            if pattern.search(text):
                 logger.info(
                     f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
                 )

src/plugins/chat_module/reasoning_chat/reasoning_chat.py

@@ -1,6 +1,6 @@
 import time
 from random import random
-import re
+
 from typing import List
 from ...memory_system.Hippocampus import HippocampusManager
 from ...moods.moods import MoodManager
@@ -301,7 +301,7 @@ class ReasoningChat:
     def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
         """检查消息是否匹配过滤正则表达式"""
         for pattern in global_config.ban_msgs_regex:
-            if re.search(pattern, text):
+            if pattern.search(text):
                 logger.info(
                     f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
                 )

src/plugins/chat_module/reasoning_chat/reasoning_prompt_builder.py

@@ -140,6 +140,18 @@ class PromptBuilder:
                         f"检测到以下关键词之一：{rule.get('keywords', [])}，触发反应：{rule.get('reaction', '')}"
                     )
                     keywords_reaction_prompt += rule.get("reaction", "") + "，"
+                else:
+                    for pattern in rule.get("regex", []):
+                        result = pattern.search(message_txt)
+                        if result:
+                            reaction = rule.get('reaction', '')
+                            for name, content in result.groupdict().items():
+                                reaction = reaction.replace(f'[{name}]', content)
+                            logger.info(
+                                f"匹配到以下正则表达式：{pattern}，触发反应：{reaction}"
+                            )
+                            keywords_reaction_prompt += reaction + "，"
+                            break
 
         # 中文高手(新加的好玩功能)
         prompt_ger = ""

src/plugins/chat_module/think_flow_chat/think_flow_chat.py

@@ -1,6 +1,5 @@
 import time
 from random import random
-import re
 import traceback
 from typing import List
 from ...memory_system.Hippocampus import HippocampusManager
@@ -388,7 +387,7 @@ class ThinkFlowChat:
     def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
         """检查消息是否匹配过滤正则表达式"""
         for pattern in global_config.ban_msgs_regex:
-            if re.search(pattern, text):
+            if pattern.search(text):
                 logger.info(
                     f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
                 )

src/plugins/chat_module/think_flow_chat/think_flow_generator.py

@@ -26,11 +26,11 @@ logger = get_module_logger("llm_generator", config=llm_config)
 class ResponseGenerator:
     def __init__(self):
         self.model_normal = LLM_request(
-            model=global_config.llm_normal, temperature=0.3, max_tokens=256, request_type="response_heartflow"
+            model=global_config.llm_normal, temperature=0.15, max_tokens=256, request_type="response_heartflow"
         )
 
         self.model_sum = LLM_request(
-            model=global_config.llm_summary_by_topic, temperature=0.7, max_tokens=2000, request_type="relation"
+            model=global_config.llm_summary_by_topic, temperature=0.6, max_tokens=2000, request_type="relation"
         )
         self.current_model_type = "r1"  # 默认使用 R1
         self.current_model_name = "unknown model"

src/plugins/chat_module/think_flow_chat/think_flow_prompt_builder.py

@@ -106,6 +106,18 @@ class PromptBuilder:
                         f"检测到以下关键词之一：{rule.get('keywords', [])}，触发反应：{rule.get('reaction', '')}"
                     )
                     keywords_reaction_prompt += rule.get("reaction", "") + "，"
+                else:
+                    for pattern in rule.get("regex", []):
+                        result = pattern.search(message_txt)
+                        if result:
+                            reaction = rule.get('reaction', '')
+                            for name, content in result.groupdict().items():
+                                reaction = reaction.replace(f'[{name}]', content)
+                            logger.info(
+                                f"匹配到以下正则表达式：{pattern}，触发反应：{reaction}"
+                            )
+                            keywords_reaction_prompt += reaction + "，"
+                            break
 
         # 中文高手(新加的好玩功能)
         prompt_ger = ""
@@ -160,7 +172,7 @@ class PromptBuilder:
 
         individuality = Individuality.get_instance()
         prompt_personality = individuality.get_prompt(type="personality", x_person=2, level=1)
-        prompt_identity = individuality.get_prompt(type="identity", x_person=2, level=1)
+        # prompt_identity = individuality.get_prompt(type="identity", x_person=2, level=1)
 
         # 日程构建
         # schedule_prompt = f'''你现在正在做的事情是：{bot_schedule.get_current_num_task(num = 1,time_info = False)}'''
@@ -231,7 +243,7 @@ class PromptBuilder:
         content: str = "",
     ) -> tuple[str, str]:
         individuality = Individuality.get_instance()
-        prompt_personality = individuality.get_prompt(type="personality", x_person=2, level=1)
+        # prompt_personality = individuality.get_prompt(type="personality", x_person=2, level=1)
         prompt_identity = individuality.get_prompt(type="identity", x_person=2, level=1)
 
         # chat_target = "你正在qq群里聊天，"

src/plugins/config/config.py

@@ -1,4 +1,5 @@
 import os
+import re
 from dataclasses import dataclass, field
 from typing import Dict, List, Optional
 from dateutil import tz
@@ -27,7 +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:
@@ -545,8 +546,8 @@ class BotConfig:
                 "response_interested_rate_amplifier", config.response_interested_rate_amplifier
             )
             config.down_frequency_rate = msg_config.get("down_frequency_rate", config.down_frequency_rate)
-            config.ban_msgs_regex = msg_config.get("ban_msgs_regex", config.ban_msgs_regex)
+            for r in msg_config.get("ban_msgs_regex", config.ban_msgs_regex):
-
+                config.ban_msgs_regex.add(re.compile(r))
             if config.INNER_VERSION in SpecifierSet(">=0.0.11"):
                 config.max_response_length = msg_config.get("max_response_length", config.max_response_length)
             if config.INNER_VERSION in SpecifierSet(">=1.1.4"):
@@ -587,6 +588,9 @@ class BotConfig:
             keywords_reaction_config = parent["keywords_reaction"]
             if keywords_reaction_config.get("enable", False):
                 config.keywords_reaction_rules = keywords_reaction_config.get("rules", config.keywords_reaction_rules)
+                for rule in config.keywords_reaction_rules:
+                    if rule.get("enable", False) and "regex" in rule:
+                        rule["regex"] = [re.compile(r) for r in rule.get("regex", [])]
 
         def chinese_typo(parent: dict):
             chinese_typo_config = parent["chinese_typo"]

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

template/bot_config_template.toml

@@ -149,6 +149,11 @@ enable = false # 仅作示例，不会触发
 keywords = ["测试关键词回复","test",""]
 reaction = "回答“测试成功”"
 
+[[keywords_reaction.rules]] # 使用正则表达式匹配句式
+enable = false # 仅作示例，不会触发
+regex = ["^(?P<n>\\S{1,20})是这样的$"] # 将匹配到的词汇命名为n，反应中对应的[n]会被替换为匹配到的内容，若不了解正则表达式请勿编写
+reaction = "请按照以下模板造句：[n]是这样的，xx只要xx就可以，可是[n]要考虑的事情就很多了，比如什么时候xx，什么时候xx，什么时候xx。（请自由发挥替换xx部分，只需保持句式结构，同时表达一种将[n]过度重视的反讽意味）"
+
 [chinese_typo]
 enable = true # 是否启用中文错别字生成器
 error_rate=0.001 # 单字替换概率