fix：模块化PFC
This commit is contained in:
SengokuCola
264
src/plugins/PFC/conversation.py
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264
src/plugins/PFC/conversation.py
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import asyncio
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import datetime
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from typing import Dict, Any
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from ..chat.message import Message
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from .pfc import ConversationState, ChatObserver,GoalAnalyzer, Waiter, DirectMessageSender, PFCNotificationHandler
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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 .decision_info import DecisionInfo
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from .reply_generator import ReplyGenerator
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from ..chat.chat_stream import ChatStream
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from ..message.message_base import UserInfo
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from ..config.config import global_config
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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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import time
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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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# 目标和规划
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self.current_goal = "保持友好的对话"
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self.current_method = "以友好的态度回应"
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self.goal_reasoning = "确保对话顺利进行"
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# 知识缓存和行动历史
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self.knowledge_cache = {}
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self.action_history = []
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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.chat_observer = ChatObserver.get_instance(self.stream_id)
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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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# 决策信息
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self.decision_info = DecisionInfo()
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self.decision_info.bot_id = global_config.BOT_QQ
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# 创建通知处理器
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self.notification_handler = PFCNotificationHandler(self)
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except Exception as e:
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logger.error(f"初始化对话实例：注册组件失败: {e}")
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logger.error(traceback.format_exc())
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raise
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try:
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start_time = time.time()
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self.chat_observer.start() # 启动观察器
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logger.info(f"观察器启动完成，耗时: {time.time() - start_time:.2f}秒")
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await asyncio.sleep(1) # 给观察器一些启动时间
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total_time = time.time() - start_time
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logger.info(f"实例初始化完成，总耗时: {total_time:.2f}秒")
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self.should_continue = True
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asyncio.create_task(self.start())
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except Exception as e:
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logger.error(f"初始化对话实例失败: {e}")
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logger.error(traceback.format_exc())
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raise
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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")
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while self.should_continue:
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await self._do_a_step()
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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 _do_a_step(self):
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"""思考步"""
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# 获取最近的消息历史
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self.current_goal, self.current_method, self.goal_reasoning = await self.goal_analyzer.analyze_goal()
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self.chat_observer.trigger_update() # 触发立即更新
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if not await self.chat_observer.wait_for_update():
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logger.warning("等待消息更新超时")
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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.current_goal,
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self.current_method,
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self.goal_reasoning,
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self.action_history,
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self.decision_info # 传入决策信息
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)
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# 执行行动
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await self._handle_action(action, reason)
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# # 清理已处理的消息
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# self.decision_info.clear_unprocessed_messages()
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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(self, action: str, reason: str):
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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
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self.action_history.append({
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"action": action,
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"reason": reason,
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"time": datetime.datetime.now().strftime("%H:%M:%S")
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})
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# 只保留最近的10条记录
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if len(self.action_history) > 10:
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self.action_history = self.action_history[-10:]
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if action == "direct_reply":
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self.state = ConversationState.GENERATING
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messages = self.chat_observer.get_message_history(limit=30)
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self.generated_reply = await self.reply_generator.generate(
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self.current_goal,
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self.current_method,
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[self._convert_to_message(msg) for msg in messages],
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self.knowledge_cache
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)
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# 检查回复是否合适
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is_suitable, reason, need_replan = await self.reply_generator.check_reply(
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self.generated_reply,
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self.current_goal
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)
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await self._send_reply()
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elif action == "fetch_knowledge":
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self.state = ConversationState.GENERATING
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messages = self.chat_observer.get_message_history(limit=30)
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knowledge, sources = await self.knowledge_fetcher.fetch(
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self.current_goal,
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[self._convert_to_message(msg) for msg in messages]
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)
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logger.info(f"获取到知识，来源: {sources}")
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if knowledge != "未找到相关知识":
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self.knowledge_cache[sources] = knowledge
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elif action == "rethink_goal":
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self.state = ConversationState.RETHINKING
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self.current_goal, self.current_method, self.goal_reasoning = await self.goal_analyzer.analyze_goal()
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elif action == "judge_conversation":
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self.state = ConversationState.JUDGING
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self.goal_achieved, self.stop_conversation, self.reason = await self.goal_analyzer.analyze_conversation(self.current_goal, self.goal_reasoning)
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# 如果当前目标达成但还有其他目标
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if self.goal_achieved and not self.stop_conversation:
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alternative_goals = await self.goal_analyzer.get_alternative_goals()
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if alternative_goals:
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# 切换到下一个目标
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self.current_goal, self.current_method, self.goal_reasoning = alternative_goals[0]
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logger.info(f"当前目标已达成，切换到新目标: {self.current_goal}")
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return
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if self.stop_conversation:
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await self._stop_conversation()
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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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if await self.waiter.wait(): # 如果返回True表示超时
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await self._send_timeout_message()
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await self._stop_conversation()
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else: # wait
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self.state = ConversationState.WAITING
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logger.info("等待更多信息...")
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if await self.waiter.wait(): # 如果返回True表示超时
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await self._send_timeout_message()
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await self._stop_conversation()
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async def _send_timeout_message(self):
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"""发送超时结束消息"""
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try:
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messages = self.chat_observer.get_message_history(limit=1)
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if not messages:
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return
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latest_message = self._convert_to_message(messages[0])
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await self.direct_sender.send_message(
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chat_stream=self.chat_stream,
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content="抱歉，由于等待时间过长，我需要先去忙别的了。下次再聊吧~",
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reply_to_message=latest_message
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)
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except Exception as e:
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logger.error(f"发送超时消息失败: {str(e)}")
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async def _send_reply(self):
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"""发送回复"""
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if not self.generated_reply:
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logger.warning("没有生成回复")
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return
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messages = self.chat_observer.get_message_history(limit=1)
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if not messages:
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logger.warning("没有最近的消息可以回复")
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return
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latest_message = self._convert_to_message(messages[0])
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try:
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await self.direct_sender.send_message(
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chat_stream=self.chat_stream,
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content=self.generated_reply,
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reply_to_message=latest_message
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)
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self.chat_observer.trigger_update() # 触发立即更新
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if not await self.chat_observer.wait_for_update():
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logger.warning("等待消息更新超时")
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self.state = ConversationState.ANALYZING
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except Exception as e:
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logger.error(f"发送消息失败: {str(e)}")
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self.state = ConversationState.ANALYZING
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