463 lines
22 KiB
Python
463 lines
22 KiB
Python
import time
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import asyncio
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import datetime
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# from .message_storage import MongoDBMessageStorage
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from src.plugins.utils.chat_message_builder import build_readable_messages, get_raw_msg_before_timestamp_with_chat
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from ...config.config import global_config
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from typing import Dict, Any
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from ..chat.message import Message
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from .pfc_types import ConversationState
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from .pfc import ChatObserver, GoalAnalyzer, DirectMessageSender
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from src.common.logger import get_module_logger
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from .action_planner import ActionPlanner
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from .observation_info import ObservationInfo
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from .conversation_info import ConversationInfo
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from .reply_generator import ReplyGenerator
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from ..chat.chat_stream import ChatStream
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from maim_message import UserInfo
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from src.plugins.chat.chat_stream import chat_manager
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from .pfc_KnowledgeFetcher import KnowledgeFetcher
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from .waiter import Waiter
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import traceback
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logger = get_module_logger("pfc_conversation")
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class Conversation:
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"""对话类，负责管理单个对话的状态和行为"""
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def __init__(self, stream_id: str):
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"""初始化对话实例
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Args:
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stream_id: 聊天流ID
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"""
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self.stream_id = stream_id
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self.state = ConversationState.INIT
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self.should_continue = False
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# 回复相关
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self.generated_reply = ""
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async def _initialize(self):
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"""初始化实例，注册所有组件"""
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try:
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self.action_planner = ActionPlanner(self.stream_id)
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self.goal_analyzer = GoalAnalyzer(self.stream_id)
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self.reply_generator = ReplyGenerator(self.stream_id)
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self.knowledge_fetcher = KnowledgeFetcher()
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self.waiter = Waiter(self.stream_id)
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self.direct_sender = DirectMessageSender()
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# 获取聊天流信息
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self.chat_stream = chat_manager.get_stream(self.stream_id)
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self.stop_action_planner = False
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except Exception as e:
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logger.error(f"初始化对话实例：注册运行组件失败: {e}")
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logger.error(traceback.format_exc())
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raise
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try:
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# 决策所需要的信息，包括自身自信和观察信息两部分
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# 注册观察器和观测信息
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self.chat_observer = ChatObserver.get_instance(self.stream_id)
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self.chat_observer.start()
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self.observation_info = ObservationInfo()
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self.observation_info.bind_to_chat_observer(self.chat_observer)
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# print(self.chat_observer.get_cached_messages(limit=)
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self.conversation_info = ConversationInfo()
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except Exception as e:
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logger.error(f"初始化对话实例：注册信息组件失败: {e}")
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logger.error(traceback.format_exc())
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raise
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try:
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logger.info(f"为 {self.stream_id} 加载初始聊天记录...")
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initial_messages = get_raw_msg_before_timestamp_with_chat( #
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chat_id=self.stream_id,
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timestamp=time.time(),
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limit=30, # 加载最近30条作为初始上下文，可以调整
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)
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chat_talking_prompt = await build_readable_messages(
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initial_messages,
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replace_bot_name=True,
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merge_messages=False,
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timestamp_mode="relative",
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read_mark=0.0,
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)
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if initial_messages:
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# 将加载的消息填充到 ObservationInfo 的 chat_history
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self.observation_info.chat_history = initial_messages
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self.observation_info.chat_history_str = chat_talking_prompt + "\n"
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self.observation_info.chat_history_count = len(initial_messages)
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# 更新 ObservationInfo 中的时间戳等信息
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last_msg = initial_messages[-1]
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self.observation_info.last_message_time = last_msg.get("time")
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last_user_info = UserInfo.from_dict(last_msg.get("user_info", {}))
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self.observation_info.last_message_sender = last_user_info.user_id
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self.observation_info.last_message_content = last_msg.get("processed_plain_text", "")
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# （可选）可以遍历 initial_messages 来设置 last_bot_speak_time 和 last_user_speak_time
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# 这里为了简化，只用了最后一条消息的时间，如果需要精确的发言者时间需要遍历
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logger.info(
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f"成功加载 {len(initial_messages)} 条初始聊天记录。最后一条消息时间: {self.observation_info.last_message_time}"
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)
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# 让 ChatObserver 从加载的最后一条消息之后开始同步
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self.chat_observer.last_message_time = self.observation_info.last_message_time
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self.chat_observer.last_message_read = last_msg # 更新 observer 的最后读取记录
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else:
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logger.info("没有找到初始聊天记录。")
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except Exception as load_err:
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logger.error(f"加载初始聊天记录时出错: {load_err}")
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# 出错也要继续，只是没有历史记录而已
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# 组件准备完成，启动该论对话
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self.should_continue = True
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asyncio.create_task(self.start())
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async def start(self):
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"""开始对话流程"""
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try:
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logger.info("对话系统启动中...")
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asyncio.create_task(self._plan_and_action_loop())
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except Exception as e:
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logger.error(f"启动对话系统失败: {e}")
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raise
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async def _plan_and_action_loop(self):
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"""思考步，PFC核心循环模块"""
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while self.should_continue:
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try:
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# --- 在规划前记录当前新消息数量 ---
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initial_new_message_count = 0
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if hasattr(self.observation_info, "new_messages_count"):
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initial_new_message_count = self.observation_info.new_messages_count
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else:
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logger.warning("ObservationInfo missing 'new_messages_count' before planning.")
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# 使用决策信息来辅助行动规划
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action, reason = await self.action_planner.plan(
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self.observation_info, self.conversation_info
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) # 注意：plan 函数内部现在不应再调用 clear_unprocessed_messages
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# --- 规划后检查是否有 *更多* 新消息到达 ---
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current_new_message_count = 0
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if hasattr(self.observation_info, "new_messages_count"):
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current_new_message_count = self.observation_info.new_messages_count
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else:
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logger.warning("ObservationInfo missing 'new_messages_count' after planning.")
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if current_new_message_count > initial_new_message_count:
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# 只有当规划期间消息数量 *增加* 了，才认为需要重新规划
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logger.info(
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f"规划期间发现新增消息 ({initial_new_message_count} -> {current_new_message_count})，跳过本次行动，重新规划"
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)
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await asyncio.sleep(0.1) # 短暂延时
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continue # 跳过本次行动，重新规划
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# --- 如果没有在规划期间收到更多新消息，则准备执行行动 ---
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# --- 清理未处理消息：移到这里，在执行动作前 ---
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# 只有当确实有新消息被 planner 看到，并且 action 是要处理它们的时候才清理
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if initial_new_message_count > 0 and action == "direct_reply":
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if hasattr(self.observation_info, "clear_unprocessed_messages"):
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# 确保 clear_unprocessed_messages 方法存在
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logger.debug(f"准备执行 direct_reply，清理 {initial_new_message_count} 条规划时已知的新消息。")
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await self.observation_info.clear_unprocessed_messages()
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# 手动重置计数器，确保状态一致性（理想情况下 clear 方法会做这个）
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if hasattr(self.observation_info, "new_messages_count"):
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self.observation_info.new_messages_count = 0
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else:
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logger.error("无法清理未处理消息: ObservationInfo 缺少 clear_unprocessed_messages 方法！")
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# 这里可能需要考虑是否继续执行 action，或者抛出错误
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# --- 执行行动 ---
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await self._handle_action(action, reason, self.observation_info, self.conversation_info)
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goal_ended = False
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if hasattr(self.conversation_info, "goal_list") and self.conversation_info.goal_list:
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for goal in self.conversation_info.goal_list:
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if isinstance(goal, tuple) and len(goal) > 0 and goal[0] == "结束对话":
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goal_ended = True
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break
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elif isinstance(goal, dict) and goal.get("goal") == "结束对话":
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goal_ended = True
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break
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if goal_ended:
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self.should_continue = False
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logger.info("检测到'结束对话'目标，停止循环。")
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# break # 可以选择在这里直接跳出循环
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except Exception as loop_err:
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logger.error(f"PFC主循环出错: {loop_err}")
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logger.error(traceback.format_exc())
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# 发生严重错误时可以考虑停止，或者至少等待一下再继续
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await asyncio.sleep(1) # 发生错误时等待1秒
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# 添加短暂的异步睡眠
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if self.should_continue: # 只有在还需要继续循环时才 sleep
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await asyncio.sleep(0.1) # 等待 0.1 秒，给其他任务执行时间
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logger.info(f"PFC 循环结束 for stream_id: {self.stream_id}") # 添加日志表明循环正常结束
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def _check_new_messages_after_planning(self):
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"""检查在规划后是否有新消息"""
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if self.observation_info.new_messages_count > 0:
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logger.info(f"发现{self.observation_info.new_messages_count}条新消息，可能需要重新考虑行动")
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# 如果需要，可以在这里添加逻辑来根据新消息重新决定行动
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return True
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return False
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def _convert_to_message(self, msg_dict: Dict[str, Any]) -> Message:
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"""将消息字典转换为Message对象"""
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try:
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chat_info = msg_dict.get("chat_info", {})
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chat_stream = ChatStream.from_dict(chat_info)
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user_info = UserInfo.from_dict(msg_dict.get("user_info", {}))
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return Message(
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message_id=msg_dict["message_id"],
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chat_stream=chat_stream,
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time=msg_dict["time"],
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user_info=user_info,
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processed_plain_text=msg_dict.get("processed_plain_text", ""),
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detailed_plain_text=msg_dict.get("detailed_plain_text", ""),
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)
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except Exception as e:
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logger.warning(f"转换消息时出错: {e}")
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raise
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async def _handle_action(
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self, action: str, reason: str, observation_info: ObservationInfo, conversation_info: ConversationInfo
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):
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"""处理规划的行动"""
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logger.info(f"执行行动: {action}, 原因: {reason}")
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# 记录action历史，先设置为start，完成后再设置为done (这个 update 移到后面执行成功后再做)
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current_action_record = {
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"action": action,
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"plan_reason": reason, # 使用 plan_reason 存储规划原因
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"status": "start", # 初始状态为 start
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"time": datetime.datetime.now().strftime("%H:%M:%S"),
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"final_reason": None,
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}
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conversation_info.done_action.append(current_action_record)
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# 获取刚刚添加记录的索引，方便后面更新状态
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action_index = len(conversation_info.done_action) - 1
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# --- 根据不同的 action 执行 ---
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if action == "direct_reply":
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max_reply_attempts = 3 # 设置最大尝试次数（与 reply_checker.py 中的 max_retries 保持一致或稍大）
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reply_attempt_count = 0
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is_suitable = False
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need_replan = False
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check_reason = "未进行尝试"
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final_reply_to_send = ""
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while reply_attempt_count < max_reply_attempts and not is_suitable:
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reply_attempt_count += 1
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logger.info(f"尝试生成回复 (第 {reply_attempt_count}/{max_reply_attempts} 次)...")
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self.state = ConversationState.GENERATING
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# 1. 生成回复
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self.generated_reply = await self.reply_generator.generate(observation_info, conversation_info)
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logger.info(f"第 {reply_attempt_count} 次生成的回复: {self.generated_reply}")
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# 2. 检查回复
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self.state = ConversationState.CHECKING
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try:
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current_goal_str = conversation_info.goal_list[0][0] if conversation_info.goal_list else ""
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# 注意：这里传递的是 reply_attempt_count - 1 作为 retry_count 给 checker
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is_suitable, check_reason, need_replan = await self.reply_generator.check_reply(
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reply=self.generated_reply,
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goal=current_goal_str,
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chat_history=observation_info.chat_history,
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retry_count=reply_attempt_count - 1, # 传递当前尝试次数（从0开始计数）
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)
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logger.info(
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f"第 {reply_attempt_count} 次检查结果: 合适={is_suitable}, 原因='{check_reason}', 需重新规划={need_replan}"
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)
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if is_suitable:
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final_reply_to_send = self.generated_reply # 保存合适的回复
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break # 回复合适，跳出循环
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elif need_replan:
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logger.warning(f"第 {reply_attempt_count} 次检查建议重新规划，停止尝试。原因: {check_reason}")
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break # 如果检查器建议重新规划，也停止尝试
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# 如果不合适但不需要重新规划，循环会继续进行下一次尝试
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except Exception as check_err:
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logger.error(f"第 {reply_attempt_count} 次调用 ReplyChecker 时出错: {check_err}")
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check_reason = f"第 {reply_attempt_count} 次检查过程出错: {check_err}"
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# 如果检查本身出错，可以选择跳出循环或继续尝试
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# 这里选择跳出循环，避免无限循环在检查错误上
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break
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# 循环结束，处理最终结果
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if is_suitable:
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# 回复合适且已保存在 final_reply_to_send 中
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# 检查是否有新消息进来 (在所有尝试结束后再检查一次)
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if self._check_new_messages_after_planning():
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logger.info("生成回复期间收到新消息，取消发送，重新规划行动")
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conversation_info.done_action[action_index].update(
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{
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"status": "recall",
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"final_reason": f"有新消息，取消发送: {final_reply_to_send}",
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"time": datetime.datetime.now().strftime("%H:%M:%S"),
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}
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)
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# 这里直接返回，不执行后续发送和wait
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return
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# 发送合适的回复
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self.generated_reply = final_reply_to_send # 确保 self.generated_reply 是最终要发送的内容
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await self._send_reply()
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# 更新 action 历史状态为 done
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conversation_info.done_action[action_index].update(
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{
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"status": "done",
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"time": datetime.datetime.now().strftime("%H:%M:%S"),
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}
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)
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else:
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# 循环结束但没有找到合适的回复（达到最大次数或检查出错/建议重规划）
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logger.warning(f"经过 {reply_attempt_count} 次尝试，未能生成合适的回复。最终原因: {check_reason}")
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conversation_info.done_action[action_index].update(
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{
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"status": "recall", # 标记为 recall 因为没有成功发送
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"final_reason": f"尝试{reply_attempt_count}次后失败: {check_reason}",
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"time": datetime.datetime.now().strftime("%H:%M:%S"),
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}
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)
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# 执行 Wait 操作
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logger.info("由于无法生成合适回复，执行 'wait' 操作...")
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self.state = ConversationState.WAITING
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# 直接调用 wait 方法
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await self.waiter.wait(self.conversation_info)
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# 可以选择添加一条新的 action 记录来表示这个 wait
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wait_action_record = {
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"action": "wait",
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"plan_reason": "因 direct_reply 多次尝试失败而执行的后备等待",
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"status": "done", # wait 完成后可以认为是 done
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"time": datetime.datetime.now().strftime("%H:%M:%S"),
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"final_reason": None,
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}
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conversation_info.done_action.append(wait_action_record)
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elif action == "fetch_knowledge":
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self.waiter.wait_accumulated_time = 0
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self.state = ConversationState.FETCHING
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knowledge = "TODO:知识"
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topic = "TODO:关键词"
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logger.info(f"假装获取到知识{knowledge}，关键词是: {topic}")
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if knowledge:
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pass # 简单处理
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# 标记 action 为 done
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conversation_info.done_action[action_index].update(
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{
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"status": "done",
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"time": datetime.datetime.now().strftime("%H:%M:%S"),
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}
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)
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elif action == "rethink_goal":
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self.waiter.wait_accumulated_time = 0
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self.state = ConversationState.RETHINKING
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await self.goal_analyzer.analyze_goal(conversation_info, observation_info)
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# 标记 action 为 done
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conversation_info.done_action[action_index].update(
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{
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"status": "done",
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"time": datetime.datetime.now().strftime("%H:%M:%S"),
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}
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)
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elif action == "listening":
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self.state = ConversationState.LISTENING
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logger.info("倾听对方发言...")
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await self.waiter.wait_listening(conversation_info)
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# listening 和 wait 通常在完成后不需要标记为 done，因为它们是持续状态，
|
||
# 但如果需要记录，可以在 waiter 返回后标记。目前逻辑是 waiter 返回后主循环继续。
|
||
# 为了统一，可以暂时在这里也标记一下（或者都不标记）
|
||
conversation_info.done_action[action_index].update(
|
||
{
|
||
"status": "done", # 或 "completed"
|
||
"time": datetime.datetime.now().strftime("%H:%M:%S"),
|
||
}
|
||
)
|
||
|
||
elif action == "end_conversation":
|
||
self.should_continue = False # 设置循环停止标志
|
||
logger.info("决定结束对话...")
|
||
# 标记 action 为 done
|
||
conversation_info.done_action[action_index].update(
|
||
{
|
||
"status": "done",
|
||
"time": datetime.datetime.now().strftime("%H:%M:%S"),
|
||
}
|
||
)
|
||
# 这里不需要 return，主循环会在下一轮检查 should_continue
|
||
|
||
else: # 对应 'wait' 动作
|
||
self.state = ConversationState.WAITING
|
||
logger.info("等待更多信息...")
|
||
await self.waiter.wait(self.conversation_info)
|
||
# 同 listening，可以考虑是否标记状态
|
||
conversation_info.done_action[action_index].update(
|
||
{
|
||
"status": "done", # 或 "completed"
|
||
"time": datetime.datetime.now().strftime("%H:%M:%S"),
|
||
}
|
||
)
|
||
|
||
async def _send_timeout_message(self):
|
||
"""发送超时结束消息"""
|
||
try:
|
||
messages = self.chat_observer.get_cached_messages(limit=1)
|
||
if not messages:
|
||
return
|
||
|
||
latest_message = self._convert_to_message(messages[0])
|
||
await self.direct_sender.send_message(
|
||
chat_stream=self.chat_stream, content="TODO:超时消息", reply_to_message=latest_message
|
||
)
|
||
except Exception as e:
|
||
logger.error(f"发送超时消息失败: {str(e)}")
|
||
|
||
async def _send_reply(self):
|
||
"""发送回复"""
|
||
if not self.generated_reply:
|
||
logger.warning("没有生成回复")
|
||
return
|
||
|
||
try:
|
||
# 外层 try: 捕获发送消息和后续处理中的主要错误
|
||
_current_time = time.time() # 获取当前时间戳
|
||
reply_content = self.generated_reply # 获取要发送的内容
|
||
|
||
# 发送消息
|
||
await self.direct_sender.send_message(chat_stream=self.chat_stream, content=reply_content)
|
||
|
||
# 原有的触发更新和等待代码
|
||
self.chat_observer.trigger_update()
|
||
if not await self.chat_observer.wait_for_update():
|
||
logger.warning("等待 ChatObserver 更新完成超时")
|
||
|
||
self.state = ConversationState.ANALYZING # 更新对话状态
|
||
|
||
except Exception as e:
|
||
# 这是外层 try 对应的 except
|
||
logger.error(f"发送消息或更新状态时失败: {str(e)}")
|
||
self.state = ConversationState.ANALYZING # 出错也要尝试恢复状态 |