mirror of https://github.com/Mai-with-u/MaiBot.git
1421 lines
85 KiB
Python
1421 lines
85 KiB
Python
import time
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import asyncio
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import datetime
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import traceback
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from typing import Dict, Any, Optional, Set, List
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from dateutil import tz
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# 导入日志记录器
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from src.common.logger_manager import get_logger
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# 导入聊天消息构建和获取工具
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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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# 导入消息相关的数据结构
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from maim_message import UserInfo
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# 导入聊天流管理器和聊天流类
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from src.plugins.chat.chat_stream import chat_manager, ChatStream
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# 导入聊天消息类
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from ..chat.message import Message # 假设 Message 类在这里
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# 导入全局配置
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from ...config.config import global_config
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# 导入用户信息
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from ..person_info.person_info import person_info_manager
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# 导入关系
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from .pfc_relationship_translator import translate_relationship_value_to_text
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# 导入情绪
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from ..moods.moods import MoodManager
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from .pfc_relationship_updater import PfcRelationshipUpdater # 新增
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from .pfc_emotion_updater import PfcEmotionUpdater # 新增
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# 导入 PFC 内部组件和类型
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from .pfc_types import ConversationState # 导入更新后的 pfc_types
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from .pfc import GoalAnalyzer # 假设 GoalAnalyzer 在 pfc.py
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from .chat_observer import ChatObserver
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from .message_sender import DirectMessageSender
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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 .idle_conversation_starter import IdleConversationStarter
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from .pfc_KnowledgeFetcher import KnowledgeFetcher # 假设 KnowledgeFetcher 在这里
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from .waiter import Waiter
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from .reply_checker import ReplyChecker # 确保 ReplyChecker 被导入
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# 导入富文本回溯，用于更好的错误展示
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from rich.traceback import install
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install(extra_lines=3)
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# 获取当前模块的日志记录器
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logger = get_logger("pfc_conversation")
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try:
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from ...config.config import global_config
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except ImportError:
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logger.error("无法在 conversation.py 中导入 global_config，时区可能不准确！")
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global_config = None
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TIME_ZONE = tz.tzlocal() # 使用本地时区作为后备
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else:
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# 确保 global_config.TIME_ZONE 存在且有效，否则使用默认值
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configured_tz = getattr(global_config, 'TIME_ZONE', 'Asia/Shanghai') # 使用 getattr 安全访问
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TIME_ZONE = tz.gettz(configured_tz)
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if TIME_ZONE is None: # 如果 gettz 返回 None，说明时区字符串无效
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logger.error(f"配置的时区 '{configured_tz}' 无效，将使用默认时区 'Asia/Shanghai'")
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TIME_ZONE = tz.gettz('Asia/Shanghai')
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class Conversation:
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"""
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对话类，负责管理单个私聊对话的状态和核心逻辑流程。
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包含对话的初始化、启动、停止、规划循环以及动作处理。
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"""
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def __init__(self, stream_id: str, private_name: str):
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"""
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初始化对话实例。
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Args:
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stream_id (str): 唯一的聊天流 ID。
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private_name (str): 私聊对象的名称，用于日志和区分。
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"""
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self.stream_id: str = stream_id
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self.private_name: str = private_name
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self.state: ConversationState = ConversationState.INIT # 对话的初始状态
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self.should_continue: bool = False # 标记对话循环是否应该继续运行
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self.ignore_until_timestamp: Optional[float] = None # 如果设置了，忽略此时间戳之前的活动
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self.generated_reply: str = "" # 存储最近生成的回复内容
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self.chat_stream: Optional[ChatStream] = None # 关联的聊天流对象
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# --- 新增：初始化管理器实例 ---
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self.person_info_mng = person_info_manager
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self.relationship_mng = translate_relationship_value_to_text
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self.mood_mng = MoodManager.get_instance() # MoodManager 是单例
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# 初始化所有核心组件为 None，将在 _initialize 中创建
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self.relationship_updater: Optional[PfcRelationshipUpdater] = None # 新增
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self.emotion_updater: Optional[PfcEmotionUpdater] = None # 新增
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self.action_planner: Optional[ActionPlanner] = None
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self.goal_analyzer: Optional[GoalAnalyzer] = None
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self.reply_generator: Optional[ReplyGenerator] = None
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self.knowledge_fetcher: Optional[KnowledgeFetcher] = None
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self.waiter: Optional[Waiter] = None
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self.direct_sender: Optional[DirectMessageSender] = None
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self.idle_conversation_starter: Optional[IdleConversationStarter] = None
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self.chat_observer: Optional[ChatObserver] = None
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self.observation_info: Optional[ObservationInfo] = None
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self.conversation_info: Optional[ConversationInfo] = None
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self.reply_checker: Optional[ReplyChecker] = None # 回复检查器
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# 内部状态标志
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self._initializing: bool = False # 标记是否正在初始化，防止并发问题
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self._initialized: bool = False # 标记是否已成功初始化
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# 缓存机器人自己的 QQ 号字符串，避免重复转换
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self.bot_qq_str: Optional[str] = str(global_config.BOT_QQ) if global_config.BOT_QQ else None
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if not self.bot_qq_str:
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# 这是一个严重问题，记录错误
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logger.error(f"[私聊][{self.private_name}] 严重错误：未能从配置中获取 BOT_QQ ID！PFC 可能无法正常工作。")
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async def _initialize(self):
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"""
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异步初始化对话实例及其所有依赖的核心组件。
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这是一个关键步骤，确保所有部分都准备就绪才能开始对话循环。
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"""
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# 防止重复初始化
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if self._initialized or self._initializing:
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logger.warning(f"[私聊][{self.private_name}] 尝试重复初始化或正在初始化中。")
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return
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self._initializing = True # 标记开始初始化
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logger.info(f"[私聊][{self.private_name}] 开始初始化对话实例: {self.stream_id}")
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try:
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# 1. 初始化核心功能组件
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logger.debug(f"[私聊][{self.private_name}] 初始化 ActionPlanner...")
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self.action_planner = ActionPlanner(self.stream_id, self.private_name)
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self.relationship_updater = PfcRelationshipUpdater(
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private_name=self.private_name,
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bot_name=global_config.BOT_NICKNAME # 或者 self.name (如果 Conversation 类有 self.name)
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)
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logger.info(f"[私聊][{self.private_name}] PfcRelationshipUpdater 初始化完成。")
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self.emotion_updater = PfcEmotionUpdater(
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private_name=self.private_name,
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bot_name=global_config.BOT_NICKNAME # 或者 self.name
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)
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logger.info(f"[私聊][{self.private_name}] PfcEmotionUpdater 初始化完成。")
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logger.debug(f"[私聊][{self.private_name}] 初始化 GoalAnalyzer...")
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self.goal_analyzer = GoalAnalyzer(self.stream_id, self.private_name)
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logger.debug(f"[私聊][{self.private_name}] 初始化 ReplyGenerator...")
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self.reply_generator = ReplyGenerator(self.stream_id, self.private_name)
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logger.debug(f"[私聊][{self.private_name}] 初始化 KnowledgeFetcher...")
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self.knowledge_fetcher = KnowledgeFetcher(self.private_name)
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logger.debug(f"[私聊][{self.private_name}] 初始化 Waiter...")
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self.waiter = Waiter(self.stream_id, self.private_name)
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logger.debug(f"[私聊][{self.private_name}] 初始化 DirectMessageSender...")
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self.direct_sender = DirectMessageSender(self.private_name)
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logger.debug(f"[私聊][{self.private_name}] 初始化 ReplyChecker...")
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self.reply_checker = ReplyChecker(self.stream_id, self.private_name)
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# 获取关联的 ChatStream
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logger.debug(f"[私聊][{self.private_name}] 获取 ChatStream...")
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self.chat_stream = chat_manager.get_stream(self.stream_id)
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if not self.chat_stream:
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# 获取不到 ChatStream 是一个严重问题，因为无法发送消息
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logger.error(
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f"[私聊][{self.private_name}] 初始化错误：无法从 chat_manager 获取 stream_id {self.stream_id} 的 ChatStream。"
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)
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raise ValueError(f"无法获取 stream_id {self.stream_id} 的 ChatStream")
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# 初始化空闲对话启动器
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logger.debug(f"[私聊][{self.private_name}] 初始化 IdleConversationStarter...")
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self.idle_conversation_starter = IdleConversationStarter(self.stream_id, self.private_name)
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# 2. 初始化信息存储和观察组件
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logger.debug(f"[私聊][{self.private_name}] 获取 ChatObserver 实例...")
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self.chat_observer = ChatObserver.get_instance(self.stream_id, self.private_name)
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logger.debug(f"[私聊][{self.private_name}] 初始化 ObservationInfo...")
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self.observation_info = ObservationInfo(self.private_name)
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# 确保 ObservationInfo 知道机器人的 ID
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if not self.observation_info.bot_id:
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logger.warning(f"[私聊][{self.private_name}] ObservationInfo 未能自动获取 bot_id，尝试手动设置。")
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self.observation_info.bot_id = self.bot_qq_str
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logger.debug(f"[私聊][{self.private_name}] 初始化 ConversationInfo...")
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self.conversation_info = ConversationInfo()
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# 3. 绑定观察者和信息处理器
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logger.debug(f"[私聊][{self.private_name}] 绑定 ObservationInfo 到 ChatObserver...")
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self.observation_info.bind_to_chat_observer(self.chat_observer)
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# 4. 加载初始聊天记录
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await self._load_initial_history()
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# 4.1 加载用户数据
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# 尝试从 observation_info 获取，这依赖于 _load_initial_history 的实现
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private_user_id_str: Optional[str] = None
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private_platform_str: Optional[str] = None
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private_nickname_str: Optional[str] = None
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if self.observation_info and self.observation_info.last_message_sender and self.observation_info.last_message_sender != self.bot_qq_str:
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# 如果历史记录最后一条不是机器人发的，那么发送者就是对方
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# 假设 observation_info 中已经有了 sender_user_id, sender_platform, sender_name
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# 这些字段应该在 observation_info.py 的 update_from_message 中从非机器人消息填充
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# 并且 _load_initial_history 处理历史消息时也应该填充它们
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# 这里的逻辑是：取 observation_info 中最新记录的非机器人发送者的信息
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if self.observation_info.sender_user_id and self.observation_info.sender_platform:
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private_user_id_str = self.observation_info.sender_user_id
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private_platform_str = self.observation_info.sender_platform
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private_nickname_str = self.observation_info.sender_name
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logger.info(f"[私聊][{self.private_name}] 从 ObservationInfo 获取到私聊对象信息: ID={private_user_id_str}, Platform={private_platform_str}, Name={private_nickname_str}")
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if not private_user_id_str and self.chat_stream: # 如果 observation_info 中没有，尝试从 chat_stream (通常代表对方)
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if self.chat_stream.user_info and str(self.chat_stream.user_info.user_id) != self.bot_qq_str : # 确保不是机器人自己
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private_user_id_str = str(self.chat_stream.user_info.user_id)
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private_platform_str = self.chat_stream.user_info.platform
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private_nickname_str = self.chat_stream.user_info.user_nickname
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logger.info(f"[私聊][{self.private_name}] 从 ChatStream 获取到私聊对象信息: ID={private_user_id_str}, Platform={private_platform_str}, Name={private_nickname_str}")
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elif self.chat_stream.group_info is None and self.private_name: # 私聊场景，且 private_name 可能有用
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# 这是一个备选方案，如果 private_name 直接是 user_id
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# 你需要确认 private_name 的确切含义和格式
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# logger.warning(f"[私聊][{self.private_name}] 尝试使用 private_name ('{self.private_name}') 作为 user_id，平台默认为 'qq'")
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# private_user_id_str = self.private_name
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# private_platform_str = "qq" # 假设平台是qq
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# private_nickname_str = self.private_name # 昵称也暂时用 private_name
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pass # 暂时不启用此逻辑，依赖 observation_info 或 chat_stream.user_info
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if private_user_id_str and private_platform_str:
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try:
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# 将 user_id 转换为整数类型，因为 person_info_manager.get_person_id 需要 int
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private_user_id_int = int(private_user_id_str)
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self.conversation_info.person_id = self.person_info_mng.get_person_id(
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private_platform_str,
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private_user_id_int # 使用转换后的整数ID
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)
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logger.info(f"[私聊][{self.private_name}] 获取到 person_id: {self.conversation_info.person_id} for {private_platform_str}:{private_user_id_str}")
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# 确保用户在数据库中存在，如果不存在则创建
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# get_or_create_person 内部处理 person_id 的生成，所以我们直接传 platform 和 user_id
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await self.person_info_mng.get_or_create_person(
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platform=private_platform_str,
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user_id=private_user_id_int, # 使用转换后的整数ID
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nickname=private_nickname_str if private_nickname_str else "未知用户",
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# user_cardname 和 user_avatar 如果能从 chat_stream.user_info 或 observation_info 获取也应传入
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# user_cardname = self.chat_stream.user_info.card if self.chat_stream and self.chat_stream.user_info else None,
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# user_avatar = self.chat_stream.user_info.avatar if self.chat_stream and self.chat_stream.user_info else None
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)
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except ValueError:
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logger.error(f"[私聊][{self.private_name}] 无法将 private_user_id_str ('{private_user_id_str}') 转换为整数。")
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except Exception as e_pid:
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logger.error(f"[私聊][{self.private_name}] 获取或创建 person_id 时出错: {e_pid}")
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else:
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logger.warning(f"[私聊][{self.private_name}] 未能确定私聊对象的 user_id 或 platform，无法获取 person_id。将在收到消息后尝试。")
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# 5. 启动需要后台运行的组件
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logger.debug(f"[私聊][{self.private_name}] 启动 ChatObserver...")
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self.chat_observer.start()
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if self.idle_conversation_starter:
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logger.debug(f"[私聊][{self.private_name}] 启动 IdleConversationStarter...")
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self.idle_conversation_starter.start()
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logger.info(f"[私聊][{self.private_name}] 空闲对话检测器已启动")
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# 5.1 启动 MoodManager 的后台更新
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if self.mood_mng and hasattr(self.mood_mng, 'start_mood_update') and not self.mood_mng._running:
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self.mood_mng.start_mood_update(update_interval=global_config.mood_update_interval) # 使用配置的更新间隔
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logger.info(f"[私聊][{self.private_name}] MoodManager 已启动后台更新，间隔: {global_config.mood_update_interval} 秒。")
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elif self.mood_mng and self.mood_mng._running:
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logger.info(f"[私聊][{self.private_name}] MoodManager 已在运行中。")
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else:
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logger.warning(f"[私聊][{self.private_name}] MoodManager 未能启动，相关功能可能受限。")
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# --- 在初始化完成前，尝试加载一次关系和情绪信息 ---
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if self.conversation_info and self.conversation_info.person_id and self.relationship_mng:
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try:
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self.conversation_info.relationship_text = await self.relationship_mng.build_relationship_info(
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self.conversation_info.person_id,
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is_id=True
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)
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logger.info(f"[私聊][{self.private_name}] 初始化时加载关系文本: {self.conversation_info.relationship_text}")
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except Exception as e_init_rel:
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logger.error(f"[私聊][{self.private_name}] 初始化时加载关系文本出错: {e_init_rel}")
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# 保留默认值
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if self.conversation_info and self.mood_mng:
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try:
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self.conversation_info.current_emotion_text = self.mood_mng.get_prompt()
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logger.info(f"[私聊][{self.private_name}] 初始化时加载情绪文本: {self.conversation_info.current_emotion_text}")
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except Exception as e_init_emo:
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logger.error(f"[私聊][{self.private_name}] 初始化时加载情绪文本出错: {e_init_emo}")
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# 保留默认值
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# 6. 标记初始化成功并设置运行状态
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self._initialized = True
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self.should_continue = True # 初始化成功，标记可以继续运行循环
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self.state = ConversationState.ANALYZING # 设置初始状态为分析
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logger.info(f"[私聊][{self.private_name}] 对话实例 {self.stream_id} 初始化完成。")
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except Exception as e:
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# 捕获初始化过程中的任何异常
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logger.error(f"[私聊][{self.private_name}] 初始化对话实例失败: {e}")
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logger.error(f"[私聊][{self.private_name}] {traceback.format_exc()}")
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self.should_continue = False # 初始化失败，标记不能继续
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self._initialized = False # 确保标记为未初始化
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# 尝试停止可能部分启动的组件
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await self.stop()
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raise # 将异常重新抛出，通知调用者初始化失败
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finally:
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||
# 无论成功与否，都要清除正在初始化的标记
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self._initializing = False
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async def _load_initial_history(self):
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"""加载并处理初始的聊天记录"""
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if not self.observation_info:
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logger.warning(f"[私聊][{self.private_name}] ObservationInfo 未初始化，无法加载历史记录。")
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||
return
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|
||
try:
|
||
logger.info(f"[私聊][{self.private_name}] 为 {self.stream_id} 加载初始聊天记录...")
|
||
# 从聊天核心获取原始消息列表
|
||
initial_messages = get_raw_msg_before_timestamp_with_chat(
|
||
chat_id=self.stream_id,
|
||
timestamp=time.time(),
|
||
limit=30, # limit 可以根据需要调整或配置
|
||
)
|
||
|
||
if initial_messages:
|
||
# 更新 ObservationInfo 中的历史记录列表和计数
|
||
self.observation_info.chat_history = initial_messages
|
||
self.observation_info.chat_history_count = len(initial_messages)
|
||
|
||
# 获取最后一条消息的信息
|
||
last_msg = initial_messages[-1]
|
||
self.observation_info.last_message_time = last_msg.get("time")
|
||
self.observation_info.last_message_id = last_msg.get("message_id")
|
||
|
||
# 安全地解析最后一条消息的发送者信息
|
||
last_user_info_dict = last_msg.get("user_info", {})
|
||
if isinstance(last_user_info_dict, dict):
|
||
try:
|
||
last_user_info = UserInfo.from_dict(last_user_info_dict)
|
||
# 存储发送者的 user_id 字符串
|
||
self.observation_info.last_message_sender = (
|
||
str(last_user_info.user_id) if last_user_info else None
|
||
)
|
||
except Exception as e:
|
||
logger.warning(f"[私聊][{self.private_name}] 解析最后一条消息的用户信息时出错: {e}")
|
||
self.observation_info.last_message_sender = None
|
||
else:
|
||
# 如果 user_info 不是字典，也标记为未知
|
||
self.observation_info.last_message_sender = None
|
||
|
||
# 存储最后一条消息的文本内容
|
||
self.observation_info.last_message_content = last_msg.get("processed_plain_text", "")
|
||
|
||
# 构建用于 Prompt 的历史记录字符串 (只使用最近的一部分)
|
||
history_slice_for_str = initial_messages[-30:] # 可配置
|
||
self.observation_info.chat_history_str = await build_readable_messages(
|
||
history_slice_for_str,
|
||
replace_bot_name=True,
|
||
merge_messages=False,
|
||
timestamp_mode="relative",
|
||
read_mark=0.0, # read_mark 可能需要根据实际情况调整
|
||
)
|
||
|
||
# 更新 ChatObserver 和 IdleStarter 的时间戳
|
||
if self.chat_observer:
|
||
# 更新观察者的最后消息时间，避免重复处理这些初始消息
|
||
self.chat_observer.last_message_time = self.observation_info.last_message_time
|
||
if self.idle_conversation_starter and self.observation_info.last_message_time:
|
||
# 更新空闲计时器的起始时间
|
||
await self.idle_conversation_starter.update_last_message_time(
|
||
self.observation_info.last_message_time
|
||
)
|
||
|
||
logger.info(
|
||
f"[私聊][{self.private_name}] 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}"
|
||
)
|
||
else:
|
||
# 如果没有历史记录
|
||
logger.info(f"[私聊][{self.private_name}] 没有找到初始聊天记录。")
|
||
self.observation_info.chat_history_str = "还没有聊天记录。" # 设置默认提示
|
||
|
||
except Exception as load_err:
|
||
# 捕获加载过程中的异常
|
||
logger.error(f"[私聊][{self.private_name}] 加载初始聊天记录时出错: {load_err}")
|
||
# 即使出错，也设置一个提示，避免后续使用 None 值
|
||
if self.observation_info:
|
||
self.observation_info.chat_history_str = "[加载聊天记录出错]"
|
||
|
||
async def start(self):
|
||
"""
|
||
启动对话流程。
|
||
会检查实例是否已初始化，如果未初始化会尝试初始化。
|
||
成功后，创建并启动核心的规划与行动循环 (`_plan_and_action_loop`)。
|
||
"""
|
||
# 检查是否已初始化，如果未初始化则尝试进行初始化
|
||
if not self._initialized:
|
||
logger.warning(f"[私聊][{self.private_name}] 对话实例未初始化，尝试初始化...")
|
||
try:
|
||
await self._initialize()
|
||
# 在尝试初始化后，再次检查状态
|
||
if not self._initialized:
|
||
logger.error(f"[私聊][{self.private_name}] 初始化失败，无法启动规划循环。")
|
||
return # 初始化失败，明确停止
|
||
except Exception as init_err:
|
||
logger.error(f"[私聊][{self.private_name}] 初始化过程中发生未捕获错误: {init_err}，无法启动。")
|
||
return # 初始化异常，明确停止
|
||
|
||
# 再次检查 should_continue 标志，确保初始化成功且未被外部停止
|
||
if not self.should_continue:
|
||
logger.warning(
|
||
f"[私聊][{self.private_name}] 对话实例已被标记为不应继续 (可能由于初始化失败或已被停止)，无法启动规划循环。"
|
||
)
|
||
return
|
||
|
||
logger.info(f"[私聊][{self.private_name}] 对话系统启动，准备创建规划循环任务...")
|
||
# 使用 asyncio.create_task 在后台启动主循环
|
||
try:
|
||
logger.debug(f"[私聊][{self.private_name}] 正在创建 _plan_and_action_loop 任务...")
|
||
# 创建任务，但不等待其完成，让它在后台运行
|
||
_loop_task = asyncio.create_task(self._plan_and_action_loop())
|
||
# 可以选择性地添加完成回调来处理任务结束或异常
|
||
# loop_task.add_done_callback(self._handle_loop_completion)
|
||
logger.info(f"[私聊][{self.private_name}] 规划循环任务已创建。")
|
||
except Exception as task_err:
|
||
logger.error(f"[私聊][{self.private_name}] 创建规划循环任务时出错: {task_err}")
|
||
# 如果创建任务失败，可能需要停止实例
|
||
await self.stop()
|
||
|
||
async def stop(self):
|
||
"""
|
||
停止对话实例并清理相关资源。
|
||
会停止后台任务、解绑观察者等。
|
||
"""
|
||
logger.info(f"[私聊][{self.private_name}] 正在停止对话实例: {self.stream_id}")
|
||
self.should_continue = False # 设置标志，让主循环退出
|
||
|
||
# --- 新增：在对话结束时调用最终关系更新 ---
|
||
if self._initialized and self.relationship_updater and self.conversation_info and self.observation_info and self.chat_observer:
|
||
try:
|
||
logger.info(f"[私聊][{self.private_name}] 准备执行最终关系评估...")
|
||
await self.relationship_updater.update_relationship_final(
|
||
conversation_info=self.conversation_info,
|
||
observation_info=self.observation_info,
|
||
chat_observer_for_history=self.chat_observer
|
||
)
|
||
logger.info(f"[私聊][{self.private_name}] 最终关系评估已调用。")
|
||
except Exception as e_final_rel:
|
||
logger.error(f"[私聊][{self.private_name}] 调用最终关系评估时出错: {e_final_rel}")
|
||
logger.error(traceback.format_exc())
|
||
else:
|
||
logger.warning(f"[私聊][{self.private_name}] 跳过最终关系评估，因为实例未完全初始化或缺少必要组件。")
|
||
|
||
# 停止空闲对话检测器
|
||
if self.idle_conversation_starter:
|
||
self.idle_conversation_starter.stop()
|
||
|
||
# 解绑 ObservationInfo 与 ChatObserver
|
||
if self.observation_info and self.chat_observer:
|
||
self.observation_info.unbind_from_chat_observer()
|
||
|
||
if self.mood_mng and hasattr(self.mood_mng, 'stop_mood_update') and self.mood_mng._running:
|
||
self.mood_mng.stop_mood_update()
|
||
logger.info(f"[私聊][{self.private_name}] MoodManager 后台更新已停止。")
|
||
|
||
# ChatObserver 是单例，通常不由单个 Conversation 停止
|
||
# 如果需要，可以在管理器层面处理 ChatObserver 的生命周期
|
||
|
||
# 标记为未初始化
|
||
self._initialized = False
|
||
logger.info(f"[私聊][{self.private_name}] 对话实例 {self.stream_id} 已停止。")
|
||
|
||
async def _plan_and_action_loop(self):
|
||
"""
|
||
核心的规划与行动循环 (PFC Loop)。
|
||
持续运行，根据当前状态规划下一步行动，处理新消息中断，执行动作，直到被停止。
|
||
"""
|
||
logger.info(f"[私聊][{self.private_name}] 进入 _plan_and_action_loop 循环。")
|
||
|
||
# 循环前再次确认初始化状态
|
||
if not self._initialized:
|
||
logger.error(f"[私聊][{self.private_name}] 尝试在未初始化状态下运行规划循环，退出。")
|
||
return # 明确退出
|
||
|
||
# 主循环，只要 should_continue 为 True 就一直运行
|
||
while self.should_continue:
|
||
loop_iter_start_time = time.time() # 记录本次循环开始时间
|
||
logger.debug(f"[私聊][{self.private_name}] 开始新一轮循环迭代 ({loop_iter_start_time:.2f})")
|
||
try:
|
||
# 重新获取 TIME_ZONE 以防在 __init__ 中导入失败
|
||
if 'TIME_ZONE' not in locals() or TIME_ZONE is None:
|
||
from dateutil import tz
|
||
try:
|
||
from ...config.config import global_config
|
||
except ImportError:
|
||
global_config = None
|
||
TIME_ZONE = tz.tzlocal()
|
||
else:
|
||
configured_tz = getattr(global_config, 'TIME_ZONE', 'Asia/Shanghai')
|
||
TIME_ZONE = tz.gettz(configured_tz)
|
||
if TIME_ZONE is None: TIME_ZONE = tz.gettz('Asia/Shanghai')
|
||
|
||
current_time = datetime.datetime.now(TIME_ZONE)
|
||
if self.observation_info: # 确保 observation_info 存在
|
||
time_str = current_time.strftime("%Y-%m-%d %H:%M:%S %Z%z") # 包含时区信息的格式
|
||
self.observation_info.current_time_str = time_str
|
||
logger.debug(f"[私聊][{self.private_name}] 更新 ObservationInfo 当前时间: {time_str}")
|
||
else:
|
||
logger.warning(f"[私聊][{self.private_name}] ObservationInfo 未初始化，无法更新当前时间。")
|
||
except Exception as time_update_err:
|
||
logger.error(f"[私聊][{self.private_name}] 更新 ObservationInfo 当前时间时出错: {time_update_err}")
|
||
# --- 更新时间代码结束 ---
|
||
|
||
# --- 处理忽略状态 ---
|
||
if self.ignore_until_timestamp and loop_iter_start_time < self.ignore_until_timestamp:
|
||
# 如果当前处于忽略状态
|
||
if self.idle_conversation_starter and self.idle_conversation_starter._running:
|
||
# 暂停空闲检测器
|
||
self.idle_conversation_starter.stop()
|
||
logger.debug(f"[私聊][{self.private_name}] 对话被暂时忽略，暂停空闲对话检测")
|
||
# 计算需要睡眠的时间，最多30秒或直到忽略结束
|
||
sleep_duration = min(30, self.ignore_until_timestamp - loop_iter_start_time)
|
||
await asyncio.sleep(sleep_duration)
|
||
continue # 跳过本次循环的后续步骤，直接进入下一次迭代检查
|
||
elif self.ignore_until_timestamp and loop_iter_start_time >= self.ignore_until_timestamp:
|
||
# 如果忽略时间已到
|
||
logger.info(f"[私聊][{self.private_name}] 忽略时间已到 {self.stream_id}，准备结束对话。")
|
||
self.ignore_until_timestamp = None # 清除忽略时间戳
|
||
await self.stop() # 调用 stop 方法来结束整个对话实例
|
||
continue # 跳过本次循环的后续步骤
|
||
else:
|
||
# 如果不在忽略状态，确保空闲检测器在运行
|
||
if self.idle_conversation_starter and not self.idle_conversation_starter._running:
|
||
self.idle_conversation_starter.start()
|
||
logger.debug(f"[私聊][{self.private_name}] 恢复空闲对话检测")
|
||
|
||
# --- 核心规划与行动逻辑 ---
|
||
try:
|
||
if self.conversation_info and self._initialized: # 确保 conversation_info 和实例已初始化
|
||
# 更新关系文本
|
||
if self.conversation_info.person_id: # 确保 person_id 已获取
|
||
try:
|
||
# 1.直接从 person_info_manager 获取数值型的 relationship_value
|
||
numeric_relationship_value = await self.person_info_mng.get_value(
|
||
self.conversation_info.person_id,
|
||
"relationship_value"
|
||
)
|
||
|
||
# 确保 relationship_value 是浮点数 (可以复用 relationship_manager 中的 ensure_float，或者在这里简单处理)
|
||
if not isinstance(numeric_relationship_value, (int, float)):
|
||
# 尝试从 Decimal128 转换 (如果你的数据库用的是这个)
|
||
from bson.decimal128 import Decimal128
|
||
if isinstance(numeric_relationship_value, Decimal128):
|
||
numeric_relationship_value = float(numeric_relationship_value.to_decimal())
|
||
else: # 其他类型，或转换失败，给默认值
|
||
logger.warning(f"[私聊][{self.private_name}] 获取的 relationship_value 类型未知 ({type(numeric_relationship_value)}) 或转换失败，默认为0.0")
|
||
numeric_relationship_value = 0.0
|
||
|
||
logger.debug(f"[私聊][{self.private_name}] 获取到数值型关系值: {numeric_relationship_value}")
|
||
|
||
# 2. 使用PFC内部的翻译函数将其转换为文本描述
|
||
simplified_relationship_text = translate_relationship_value_to_text(numeric_relationship_value)
|
||
self.conversation_info.relationship_text = simplified_relationship_text
|
||
|
||
logger.debug(f"[私聊][{self.private_name}] 更新后关系文本 (PFC内部翻译): {self.conversation_info.relationship_text}")
|
||
|
||
except Exception as e_rel:
|
||
logger.error(f"[私聊][{self.private_name}] 更新关系文本(PFC内部翻译)时出错: {e_rel}")
|
||
self.conversation_info.relationship_text = "你们的关系是：普通。" # 出错时的默认值
|
||
elif self.observation_info and self.observation_info.sender_user_id and self.observation_info.sender_platform:
|
||
# 如果 person_id 之前没获取到，在这里尝试再次获取 (这部分逻辑保持，因为 person_id 是必须的)
|
||
try:
|
||
private_user_id_int = int(self.observation_info.sender_user_id)
|
||
self.conversation_info.person_id = self.person_info_mng.get_person_id(
|
||
self.observation_info.sender_platform,
|
||
private_user_id_int
|
||
)
|
||
await self.person_info_mng.get_or_create_person( #确保用户存在
|
||
platform=self.observation_info.sender_platform,
|
||
user_id=private_user_id_int,
|
||
nickname=self.observation_info.sender_name if self.observation_info.sender_name else "未知用户",
|
||
)
|
||
if self.conversation_info.person_id: # 如果成功获取 person_id，则再次尝试更新关系文本
|
||
numeric_relationship_value = await self.person_info_mng.get_value(
|
||
self.conversation_info.person_id,
|
||
"relationship_value"
|
||
)
|
||
if not isinstance(numeric_relationship_value, (int, float)):
|
||
from bson.decimal128 import Decimal128
|
||
if isinstance(numeric_relationship_value, Decimal128):
|
||
numeric_relationship_value = float(numeric_relationship_value.to_decimal())
|
||
else:
|
||
numeric_relationship_value = 0.0
|
||
self.conversation_info.relationship_text = translate_relationship_value_to_text(numeric_relationship_value)
|
||
logger.debug(f"[私聊][{self.private_name}] (备用逻辑)更新后关系文本: {self.conversation_info.relationship_text}")
|
||
|
||
except ValueError:
|
||
logger.error(f"[私聊][{self.private_name}] 循环中无法将 sender_user_id ('{self.observation_info.sender_user_id}') 转换为整数。")
|
||
self.conversation_info.relationship_text = "你们的关系是：普通。"
|
||
except Exception as e_pid_loop:
|
||
logger.error(f"[私聊][{self.private_name}] 循环中获取 person_id 并更新关系时出错: {e_pid_loop}")
|
||
self.conversation_info.relationship_text = "你们的关系是：普通。"
|
||
else:
|
||
# 如果 person_id 仍无法确定
|
||
self.conversation_info.relationship_text = "你们的关系是：普通。" # 或 "你们的关系是：未知。"
|
||
|
||
# 更新情绪文本
|
||
if self.mood_mng:
|
||
self.conversation_info.current_emotion_text = self.mood_mng.get_prompt()
|
||
logger.debug(f"[私聊][{self.private_name}] 更新情绪文本: {self.conversation_info.current_emotion_text}")
|
||
else:
|
||
# 如果 mood_mng 未初始化，使用 ConversationInfo 中的默认值
|
||
pass # self.conversation_info.current_emotion_text 会保持其在 ConversationInfo 中的默认值
|
||
### 标记新增/修改区域 结束 ###
|
||
|
||
# 1. 检查核心组件是否都已初始化
|
||
if not all([self.action_planner, self.observation_info, self.conversation_info]):
|
||
logger.error(f"[私聊][{self.private_name}] 核心组件未初始化，无法继续规划循环。将等待5秒后重试...")
|
||
await asyncio.sleep(5)
|
||
continue # 跳过本次迭代
|
||
|
||
# 2. 记录规划开始时间并重置临时状态
|
||
planning_start_time = time.time()
|
||
logger.debug(f"[私聊][{self.private_name}] --- 开始规划 ({planning_start_time:.2f}) ---")
|
||
# 重置上一轮存储的“规划期间他人新消息数”
|
||
self.conversation_info.other_new_messages_during_planning_count = 0
|
||
|
||
# 3. 调用 ActionPlanner 进行规划
|
||
logger.debug(f"[私聊][{self.private_name}] 调用 ActionPlanner.plan...")
|
||
# 传入当前观察信息、对话信息和上次成功回复的动作类型
|
||
action, reason = await self.action_planner.plan(
|
||
self.observation_info,
|
||
self.conversation_info,
|
||
self.conversation_info.last_successful_reply_action
|
||
)
|
||
planning_duration = time.time() - planning_start_time
|
||
logger.debug(
|
||
f"[私聊][{self.private_name}] ActionPlanner.plan 完成 (耗时: {planning_duration:.3f} 秒)，初步规划动作: {action}"
|
||
)
|
||
|
||
# 4. 检查规划期间是否有新消息到达
|
||
current_unprocessed_messages = getattr(self.observation_info, "unprocessed_messages", [])
|
||
new_messages_during_planning: List[Dict[str, Any]] = []
|
||
other_new_messages_during_planning: List[Dict[str, Any]] = []
|
||
|
||
# 遍历当前所有未处理的消息
|
||
for msg in current_unprocessed_messages:
|
||
msg_time = msg.get("time")
|
||
sender_id = msg.get("user_info", {}).get("user_id")
|
||
# 检查消息时间是否在本次规划开始之后
|
||
if msg_time and msg_time >= planning_start_time:
|
||
new_messages_during_planning.append(msg)
|
||
# 同时检查是否是来自他人的消息
|
||
if sender_id != self.bot_qq_str:
|
||
other_new_messages_during_planning.append(msg)
|
||
|
||
new_msg_count = len(new_messages_during_planning) # 规划期间所有新消息数
|
||
other_new_msg_count = len(other_new_messages_during_planning) # 规划期间他人新消息数
|
||
logger.debug(
|
||
f"[私聊][{self.private_name}] 规划期间收到新消息总数: {new_msg_count}, 来自他人: {other_new_msg_count}"
|
||
)
|
||
|
||
if self.conversation_info and other_new_msg_count > 0: # 如果有来自他人的新消息
|
||
self.conversation_info.current_instance_message_count += other_new_msg_count
|
||
logger.debug(f"[私聊][{self.private_name}] 用户发送新消息，实例消息计数增加到: {self.conversation_info.current_instance_message_count}")
|
||
|
||
# 调用增量关系更新
|
||
if self.relationship_updater:
|
||
await self.relationship_updater.update_relationship_incremental(
|
||
conversation_info=self.conversation_info,
|
||
observation_info=self.observation_info,
|
||
chat_observer_for_history=self.chat_observer
|
||
)
|
||
|
||
# 调用情绪更新
|
||
if self.emotion_updater and other_new_messages_during_planning:
|
||
# 取最后一条用户消息作为情绪更新的上下文事件
|
||
last_user_msg = other_new_messages_during_planning[-1]
|
||
last_user_msg_text = last_user_msg.get("processed_plain_text", "用户发了新消息")
|
||
|
||
sender_name_for_event = getattr(self.observation_info, 'sender_name', '对方')
|
||
if not sender_name_for_event: # 如果 observation_info 中还没有，尝试从消息中取
|
||
user_info_dict = last_user_msg.get("user_info", {})
|
||
sender_name_for_event = user_info_dict.get("user_nickname", "对方")
|
||
|
||
event_desc = f"用户【{sender_name_for_event}】发送了新消息: '{last_user_msg_text[:30]}...'"
|
||
await self.emotion_updater.update_emotion_based_on_context(
|
||
conversation_info=self.conversation_info,
|
||
observation_info=self.observation_info,
|
||
chat_observer_for_history=self.chat_observer,
|
||
event_description=event_desc
|
||
)
|
||
|
||
# 5. 根据动作类型和新消息数量，判断是否需要中断当前规划
|
||
should_interrupt: bool = False
|
||
interrupt_reason: str = ""
|
||
|
||
if action in ["wait", "listening"]:
|
||
# 规则：对于 wait/listen，任何新消息（无论来自谁）都应该中断
|
||
if new_msg_count > 0:
|
||
should_interrupt = True
|
||
interrupt_reason = f"规划 {action} 期间收到 {new_msg_count} 条新消息"
|
||
logger.info(f"[私聊][{self.private_name}] 中断 '{action}'，原因: {interrupt_reason}。")
|
||
else:
|
||
# 规则：对于其他动作，检查来自他人的新消息是否超过阈值 2
|
||
interrupt_threshold: int = 2
|
||
if other_new_msg_count > interrupt_threshold:
|
||
should_interrupt = True
|
||
interrupt_reason = f"规划 {action} 期间收到 {other_new_msg_count} 条来自他人的新消息 (阈值 >{interrupt_threshold})"
|
||
logger.info(f"[私聊][{self.private_name}] 中断 '{action}'，原因: {interrupt_reason}。")
|
||
|
||
# 6. 如果需要中断，则记录取消信息，重置状态，并进入下一次循环
|
||
if should_interrupt:
|
||
logger.info(f"[私聊][{self.private_name}] 执行中断，重新规划...")
|
||
# 记录被取消的动作到历史记录
|
||
cancel_record = {
|
||
"action": action,
|
||
"plan_reason": reason,
|
||
"status": "cancelled_due_to_new_messages", # 标记取消原因
|
||
"time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
|
||
"final_reason": interrupt_reason,
|
||
}
|
||
# 安全地添加到 done_action 列表
|
||
if not hasattr(self.conversation_info, "done_action"):
|
||
self.conversation_info.done_action = []
|
||
self.conversation_info.done_action.append(cancel_record)
|
||
|
||
# 重置追问状态，因为当前动作被中断了
|
||
self.conversation_info.last_successful_reply_action = None
|
||
# 将状态设置回分析，准备处理新消息并重新规划
|
||
self.state = ConversationState.ANALYZING
|
||
await asyncio.sleep(0.1) # 短暂等待，避免CPU空转
|
||
continue # 直接进入下一次循环迭代
|
||
|
||
# 7. 如果未中断，存储规划期间的他人新消息数，并执行动作
|
||
logger.debug(f"[私聊][{self.private_name}] 未中断，调用 _handle_action 执行动作 '{action}'...")
|
||
# 将计算出的“规划期间他人新消息数”存入 conversation_info，供 _handle_action 使用
|
||
self.conversation_info.other_new_messages_during_planning_count = other_new_msg_count
|
||
# 调用动作处理函数
|
||
await self._handle_action(action, reason, self.observation_info, self.conversation_info)
|
||
logger.debug(f"[私聊][{self.private_name}] _handle_action 完成。")
|
||
|
||
# 8. 检查是否需要结束整个对话（例如目标达成或执行了结束动作）
|
||
goal_ended: bool = False
|
||
# 检查最新的目标是否是“结束对话”
|
||
if hasattr(self.conversation_info, "goal_list") and self.conversation_info.goal_list:
|
||
last_goal_item = self.conversation_info.goal_list[-1]
|
||
current_goal: Optional[str] = None
|
||
if isinstance(last_goal_item, dict):
|
||
current_goal = last_goal_item.get("goal")
|
||
elif isinstance(last_goal_item, str):
|
||
current_goal = last_goal_item
|
||
if isinstance(current_goal, str) and current_goal == "结束对话":
|
||
goal_ended = True
|
||
|
||
# 检查最后执行的动作是否是结束类型且成功完成
|
||
last_action_record = (
|
||
self.conversation_info.done_action[-1] if self.conversation_info.done_action else {}
|
||
)
|
||
action_ended: bool = (
|
||
last_action_record.get("action") in ["end_conversation", "say_goodbye"]
|
||
and last_action_record.get("status") == "done"
|
||
)
|
||
|
||
# 如果满足任一结束条件，则停止循环
|
||
if goal_ended or action_ended:
|
||
logger.info(
|
||
f"[私聊][{self.private_name}] 检测到结束条件 (目标结束: {goal_ended}, 动作结束: {action_ended})，停止循环。"
|
||
)
|
||
await self.stop() # 调用 stop 来停止实例
|
||
continue # 跳过后续，虽然 stop 会设置 should_continue=False
|
||
|
||
except asyncio.CancelledError:
|
||
# 处理任务被取消的情况
|
||
logger.info(f"[私聊][{self.private_name}] PFC 主循环任务被取消。")
|
||
await self.stop() # 确保资源被清理
|
||
break # 明确退出循环
|
||
except Exception as loop_err:
|
||
# 捕获循环中的其他未预期错误
|
||
logger.error(f"[私聊][{self.private_name}] PFC 主循环出错: {loop_err}")
|
||
logger.error(f"[私聊][{self.private_name}] {traceback.format_exc()}")
|
||
self.state = ConversationState.ERROR # 设置错误状态
|
||
# 可以在这里添加更复杂的错误恢复逻辑，或者简单等待后重试
|
||
await asyncio.sleep(5) # 等待一段时间，避免错误状态下快速空转
|
||
|
||
# --- 控制循环频率 ---
|
||
loop_duration = time.time() - loop_iter_start_time # 计算本次循环耗时
|
||
min_loop_interval = 0.1 # 设置最小循环间隔（秒），防止CPU占用过高
|
||
logger.debug(f"[私聊][{self.private_name}] 循环迭代耗时: {loop_duration:.3f} 秒。")
|
||
if loop_duration < min_loop_interval:
|
||
# 如果循环太快，则睡眠一段时间
|
||
await asyncio.sleep(min_loop_interval - loop_duration)
|
||
|
||
# 循环结束后的日志
|
||
logger.info(f"[私聊][{self.private_name}] PFC 循环已退出 for stream_id: {self.stream_id}")
|
||
|
||
def _convert_to_message(self, msg_dict: Dict[str, Any]) -> Optional[Message]:
|
||
"""将从数据库或其他来源获取的消息字典转换为内部使用的 Message 对象"""
|
||
try:
|
||
# 优先使用实例自身的 chat_stream，如果不存在则尝试从管理器获取
|
||
chat_stream_to_use = self.chat_stream or chat_manager.get_stream(self.stream_id)
|
||
if not chat_stream_to_use:
|
||
logger.error(
|
||
f"[私聊][{self.private_name}] 无法确定 ChatStream for stream_id {self.stream_id}，无法转换消息。"
|
||
)
|
||
return None # 无法确定聊天流，返回 None
|
||
|
||
# 解析用户信息字典
|
||
user_info_dict = msg_dict.get("user_info", {})
|
||
user_info: Optional[UserInfo] = None
|
||
if isinstance(user_info_dict, dict):
|
||
try:
|
||
# 使用 UserInfo 类的方法从字典创建对象
|
||
user_info = UserInfo.from_dict(user_info_dict)
|
||
except Exception as e:
|
||
# 解析失败记录警告
|
||
logger.warning(
|
||
f"[私聊][{self.private_name}] 从字典创建 UserInfo 时出错: {e}, dict: {user_info_dict}"
|
||
)
|
||
if not user_info:
|
||
# 如果没有有效的 UserInfo，记录警告并返回 None
|
||
logger.warning(
|
||
f"[私聊][{self.private_name}] 消息缺少有效的 UserInfo，无法转换。 msg_id: {msg_dict.get('message_id')}"
|
||
)
|
||
return None
|
||
|
||
# 创建并返回 Message 对象
|
||
return Message(
|
||
message_id=msg_dict.get("message_id", f"gen_{time.time()}"), # 如果没有ID，生成一个临时的
|
||
chat_stream=chat_stream_to_use,
|
||
time=msg_dict.get("time", time.time()), # 如果没有时间戳，使用当前时间
|
||
user_info=user_info, # 使用解析出的 UserInfo 对象
|
||
processed_plain_text=msg_dict.get("processed_plain_text", ""), # 获取处理后的纯文本
|
||
detailed_plain_text=msg_dict.get("detailed_plain_text", ""), # 获取详细纯文本
|
||
)
|
||
except Exception as e:
|
||
# 捕获转换过程中的任何异常
|
||
logger.error(f"[私聊][{self.private_name}] 转换消息时出错: {e}")
|
||
logger.error(f"[私聊][{self.private_name}] {traceback.format_exc()}")
|
||
return None # 转换失败返回 None
|
||
|
||
async def _handle_action(
|
||
self, action: str, reason: str, observation_info: ObservationInfo, conversation_info: ConversationInfo
|
||
):
|
||
"""
|
||
处理由 ActionPlanner 规划出的具体行动。
|
||
包括生成回复、调用检查器、发送消息、等待、思考目标等，并包含重试逻辑。
|
||
根据执行结果和规则更新对话状态。
|
||
"""
|
||
# 检查初始化状态
|
||
if not self._initialized:
|
||
logger.error(f"[私聊][{self.private_name}] 尝试在未初始化状态下处理动作 '{action}'。")
|
||
return
|
||
|
||
logger.info(f"[私聊][{self.private_name}] 开始处理动作: {action}, 原因: {reason}")
|
||
action_start_time = time.time() # 记录动作开始时间
|
||
|
||
# --- 准备动作历史记录条目 ---
|
||
current_action_record = {
|
||
"action": action,
|
||
"plan_reason": reason, # 记录规划时的原因
|
||
"status": "start", # 初始状态为“开始”
|
||
"time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), # 记录开始时间
|
||
"final_reason": None, # 最终结果的原因，将在 finally 中设置
|
||
}
|
||
# 安全地添加到历史记录列表
|
||
if not hasattr(conversation_info, "done_action"):
|
||
conversation_info.done_action = []
|
||
conversation_info.done_action.append(current_action_record)
|
||
# 获取当前记录在列表中的索引，方便后续更新状态
|
||
action_index = len(conversation_info.done_action) - 1
|
||
|
||
# --- 初始化动作执行状态变量 ---
|
||
action_successful: bool = False # 标记动作是否成功执行
|
||
final_status: str = "recall" # 动作最终状态，默认为 recall (表示未成功或需重试)
|
||
final_reason: str = "动作未成功执行" # 动作最终原因
|
||
need_replan_from_checker: bool = False # 标记是否由 ReplyChecker 要求重新规划
|
||
|
||
try:
|
||
# --- 根据不同的 action 类型执行相应的逻辑 ---
|
||
|
||
# 1. 处理需要生成、检查、发送的动作
|
||
if action in ["direct_reply", "send_new_message"]:
|
||
max_reply_attempts: int = 3 # 最多尝试次数 (可配置)
|
||
reply_attempt_count: int = 0
|
||
is_suitable: bool = False # 标记回复是否合适
|
||
generated_content: str = "" # 存储生成的回复
|
||
check_reason: str = "未进行检查" # 存储检查结果原因
|
||
|
||
# --- [核心修复] 引入重试循环 ---
|
||
while reply_attempt_count < max_reply_attempts and not is_suitable and not need_replan_from_checker:
|
||
reply_attempt_count += 1
|
||
log_prefix = f"[私聊][{self.private_name}] 尝试生成/检查 '{action}' 回复 (第 {reply_attempt_count}/{max_reply_attempts} 次)..."
|
||
logger.info(log_prefix)
|
||
|
||
# --- a. 生成回复 ---
|
||
self.state = ConversationState.GENERATING # 更新对话状态
|
||
if not self.reply_generator:
|
||
# 检查依赖组件是否存在
|
||
raise RuntimeError("ReplyGenerator 未初始化")
|
||
# 调用 ReplyGenerator 生成回复内容
|
||
generated_content = await self.reply_generator.generate(
|
||
observation_info, conversation_info, action_type=action
|
||
)
|
||
logger.info(f"{log_prefix} 生成内容: '{generated_content}'") # 日志中截断长内容
|
||
|
||
# 检查生成内容是否有效
|
||
if not generated_content or generated_content.startswith("抱歉"):
|
||
# 如果生成失败或返回错误提示
|
||
logger.warning(f"{log_prefix} 生成内容为空或为错误提示，将进行下一次尝试。")
|
||
check_reason = "生成内容无效" # 记录原因
|
||
# 记录拒绝信息供下次生成参考
|
||
conversation_info.last_reply_rejection_reason = check_reason
|
||
conversation_info.last_rejected_reply_content = generated_content
|
||
await asyncio.sleep(0.5) # 短暂等待后重试
|
||
continue # 进入下一次循环尝试
|
||
|
||
# --- b. 检查回复 ---
|
||
self.state = ConversationState.CHECKING # 更新状态为检查中
|
||
if not self.reply_checker:
|
||
raise RuntimeError("ReplyChecker 未初始化")
|
||
|
||
# 准备检查所需的上下文信息
|
||
current_goal_str: str = "" # 当前对话目标字符串
|
||
if conversation_info.goal_list:
|
||
# 通常检查最新的目标
|
||
goal_item = conversation_info.goal_list[-1]
|
||
if isinstance(goal_item, dict):
|
||
current_goal_str = goal_item.get("goal", "")
|
||
elif isinstance(goal_item, str):
|
||
current_goal_str = goal_item
|
||
# 获取用于检查的聊天记录 (列表和字符串形式)
|
||
chat_history_for_check: List[Dict[str, Any]] = getattr(observation_info, "chat_history", [])
|
||
chat_history_text_for_check: str = getattr(observation_info, "chat_history_str", "")
|
||
# 当前重试次数 (传递给 checker，可能有用)
|
||
# retry_count for checker starts from 0
|
||
current_retry_for_checker = reply_attempt_count - 1
|
||
|
||
|
||
current_time_value_for_check = "获取时间失败"
|
||
if observation_info and hasattr(observation_info, 'current_time_str') and observation_info.current_time_str:
|
||
current_time_value_for_check = observation_info.current_time_str
|
||
|
||
|
||
logger.debug(f"{log_prefix} 调用 ReplyChecker 检查...")
|
||
# 调用 ReplyChecker 的 check 方法
|
||
is_suitable, check_reason, need_replan_from_checker = await self.reply_checker.check(
|
||
reply=generated_content,
|
||
goal=current_goal_str,
|
||
chat_history=chat_history_for_check, # 传递列表形式的历史记录
|
||
chat_history_text=chat_history_text_for_check, # 传递文本形式的历史记录
|
||
current_time_str=current_time_value_for_check, # 新增：传递时间字符串
|
||
retry_count=current_retry_for_checker,
|
||
)
|
||
logger.info(
|
||
f"{log_prefix} ReplyChecker 结果: 合适={is_suitable}, 原因='{check_reason}', 需重规划={need_replan_from_checker}"
|
||
)
|
||
|
||
# 如果不合适，记录原因并准备下一次尝试（如果还有次数）
|
||
if not is_suitable:
|
||
# 记录拒绝原因和内容，供下次生成时参考
|
||
conversation_info.last_reply_rejection_reason = check_reason
|
||
conversation_info.last_rejected_reply_content = generated_content
|
||
# 如果不需要重规划且还有尝试次数
|
||
if not need_replan_from_checker and reply_attempt_count < max_reply_attempts:
|
||
logger.warning(f"{log_prefix} 回复不合适，原因: {check_reason}。将进行下一次尝试。")
|
||
await asyncio.sleep(0.5) # 等待后重试
|
||
# 如果需要重规划或达到最大次数，循环会在下次判断时自动结束
|
||
|
||
# --- 循环结束后，处理最终结果 ---
|
||
if is_suitable:
|
||
# 如果找到了合适的回复
|
||
logger.info(f"[私聊][{self.private_name}] 动作 '{action}': 找到合适的回复，准备发送。")
|
||
# 清除上次的拒绝信息 (因为本次成功了)
|
||
conversation_info.last_reply_rejection_reason = None
|
||
conversation_info.last_rejected_reply_content = None
|
||
|
||
# --- c. 发送回复 ---
|
||
self.generated_reply = generated_content # 使用最后一次检查通过的内容
|
||
timestamp_before_sending = time.time() # 记录发送前时间戳
|
||
logger.debug(
|
||
f"[私聊][{self.private_name}] 动作 '{action}': 记录发送前时间戳: {timestamp_before_sending:.2f}"
|
||
)
|
||
self.state = ConversationState.SENDING # 更新状态为发送中
|
||
# 调用内部发送方法
|
||
send_success = await self._send_reply()
|
||
send_end_time = time.time() # 记录发送结束时间
|
||
|
||
if send_success:
|
||
# 如果发送成功
|
||
action_successful = True # 标记动作成功
|
||
# final_status 和 final_reason 会在 finally 中设置
|
||
logger.info(f"[私聊][{self.private_name}] 动作 '{action}': 成功发送回复.")
|
||
# 更新空闲计时器
|
||
if self.idle_conversation_starter:
|
||
await self.idle_conversation_starter.update_last_message_time(send_end_time)
|
||
|
||
# --- d. 清理已处理消息 ---
|
||
current_unprocessed_messages = getattr(observation_info, "unprocessed_messages", [])
|
||
message_ids_to_clear: Set[str] = set()
|
||
# 遍历所有未处理消息
|
||
for msg in current_unprocessed_messages:
|
||
msg_time = msg.get("time")
|
||
msg_id = msg.get("message_id")
|
||
sender_id = msg.get("user_info", {}).get("user_id")
|
||
# 规则：只清理【发送前】收到的、【来自他人】的消息
|
||
if (
|
||
msg_id
|
||
and msg_time
|
||
and sender_id != self.bot_qq_str
|
||
and msg_time < timestamp_before_sending
|
||
):
|
||
message_ids_to_clear.add(msg_id)
|
||
# 如果有需要清理的消息，调用清理方法
|
||
if message_ids_to_clear:
|
||
logger.debug(
|
||
f"[私聊][{self.private_name}] 准备清理 {len(message_ids_to_clear)} 条发送前(他人)消息: {message_ids_to_clear}"
|
||
)
|
||
await observation_info.clear_processed_messages(message_ids_to_clear)
|
||
else:
|
||
logger.debug(f"[私聊][{self.private_name}] 没有需要清理的发送前(他人)消息。")
|
||
|
||
# --- e. 决定下一轮规划类型 ---
|
||
# 从 conversation_info 获取【规划期间】收到的【他人】新消息数量
|
||
other_new_msg_count_during_planning = getattr(
|
||
conversation_info, "other_new_messages_during_planning_count", 0
|
||
)
|
||
|
||
# 规则：如果规划期间收到他人新消息 (0 < count <= 2)，则下一轮强制初始回复
|
||
if other_new_msg_count_during_planning > 0:
|
||
logger.info(
|
||
f"[私聊][{self.private_name}] 因规划期间收到 {other_new_msg_count_during_planning} 条他人新消息，下一轮强制使用【初始回复】逻辑。"
|
||
)
|
||
conversation_info.last_successful_reply_action = None # 强制初始回复
|
||
conversation_info.my_message_count = 0 # 自身发言数量清零
|
||
else:
|
||
# 规则：如果规划期间【没有】收到他人新消息，则允许追问
|
||
logger.info(
|
||
f"[私聊][{self.private_name}] 规划期间无他人新消息，下一轮【允许】使用追问逻辑 (基于 '{action}')。"
|
||
)
|
||
conversation_info.last_successful_reply_action = action # 允许追问
|
||
|
||
if conversation_info: # 确保 conversation_info 存在
|
||
conversation_info.current_instance_message_count += 1
|
||
logger.debug(f"[私聊][{self.private_name}] 实例消息计数(机器人发送后)增加到: {conversation_info.current_instance_message_count}")
|
||
|
||
if self.relationship_updater:
|
||
await self.relationship_updater.update_relationship_incremental(
|
||
conversation_info=conversation_info,
|
||
observation_info=observation_info,
|
||
chat_observer_for_history=self.chat_observer
|
||
)
|
||
|
||
sent_reply_summary = self.generated_reply[:50] if self.generated_reply else "空回复"
|
||
event_for_emotion_update = f"你刚刚发送了消息: '{sent_reply_summary}...'"
|
||
if self.emotion_updater:
|
||
await self.emotion_updater.update_emotion_based_on_context(
|
||
conversation_info=conversation_info,
|
||
observation_info=observation_info,
|
||
chat_observer_for_history=self.chat_observer,
|
||
event_description=event_for_emotion_update
|
||
)
|
||
else:
|
||
# 如果发送失败
|
||
logger.error(f"[私聊][{self.private_name}] 动作 '{action}': 发送回复失败。")
|
||
final_status = "recall" # 发送失败，标记为 recall
|
||
final_reason = "发送回复时失败"
|
||
# 重置追问状态
|
||
conversation_info.last_successful_reply_action = None
|
||
|
||
elif need_replan_from_checker:
|
||
# 如果 Checker 要求重新规划
|
||
logger.warning(
|
||
f"[私聊][{self.private_name}] 动作 '{action}' 因 ReplyChecker 要求而被取消，将重新规划。原因: {check_reason}"
|
||
)
|
||
final_status = "recall" # 标记为 recall
|
||
final_reason = f"回复检查要求重新规划: {check_reason}"
|
||
# # 重置追问状态
|
||
# conversation_info.last_successful_reply_action = None
|
||
|
||
else:
|
||
# 达到最大尝试次数仍未找到合适回复
|
||
logger.warning(
|
||
f"[私聊][{self.private_name}] 动作 '{action}': 达到最大尝试次数 ({max_reply_attempts})，未能生成/检查通过合适的回复。最终原因: {check_reason}"
|
||
)
|
||
final_status = "recall" # 标记为 recall
|
||
final_reason = f"尝试{max_reply_attempts}次后失败: {check_reason}"
|
||
# # 重置追问状态
|
||
# conversation_info.last_successful_reply_action = None
|
||
|
||
# 2. 处理发送告别语动作 (保持简单，不加重试)
|
||
elif action == "say_goodbye":
|
||
self.state = ConversationState.GENERATING
|
||
if not self.reply_generator:
|
||
raise RuntimeError("ReplyGenerator 未初始化")
|
||
# 生成告别语
|
||
generated_content = await self.reply_generator.generate(
|
||
observation_info, conversation_info, action_type=action
|
||
)
|
||
logger.info(f"[私聊][{self.private_name}] 动作 '{action}': 生成内容: '{generated_content[:100]}...'")
|
||
|
||
# 检查生成内容
|
||
if not generated_content or generated_content.startswith("抱歉"):
|
||
logger.warning(f"[私聊][{self.private_name}] 动作 '{action}': 生成内容为空或为错误提示，取消发送。")
|
||
final_reason = "生成内容无效"
|
||
# 即使生成失败，也按计划结束对话
|
||
final_status = "done" # 标记为 done，因为目的是结束
|
||
self.should_continue = False
|
||
logger.info(f"[私聊][{self.private_name}] 告别语生成失败，仍按计划结束对话。")
|
||
else:
|
||
# 发送告别语
|
||
self.generated_reply = generated_content
|
||
timestamp_before_sending = time.time()
|
||
logger.debug(
|
||
f"[私聊][{self.private_name}] 动作 '{action}': 记录发送前时间戳: {timestamp_before_sending:.2f}"
|
||
)
|
||
self.state = ConversationState.SENDING
|
||
send_success = await self._send_reply()
|
||
send_end_time = time.time()
|
||
|
||
if send_success:
|
||
action_successful = True # 标记成功
|
||
# final_status 和 final_reason 会在 finally 中设置
|
||
logger.info(f"[私聊][{self.private_name}] 成功发送告别语，即将停止对话实例。")
|
||
# 更新空闲计时器
|
||
if self.idle_conversation_starter:
|
||
await self.idle_conversation_starter.update_last_message_time(send_end_time)
|
||
# 清理发送前的消息 (虽然通常是最后一条，但保持逻辑一致)
|
||
current_unprocessed_messages = getattr(observation_info, "unprocessed_messages", [])
|
||
message_ids_to_clear: Set[str] = set()
|
||
for msg in current_unprocessed_messages:
|
||
msg_time = msg.get("time")
|
||
msg_id = msg.get("message_id")
|
||
sender_id = msg.get("user_info", {}).get("user_id")
|
||
if (
|
||
msg_id
|
||
and msg_time
|
||
and sender_id != self.bot_qq_str
|
||
and msg_time < timestamp_before_sending
|
||
):
|
||
message_ids_to_clear.add(msg_id)
|
||
if message_ids_to_clear:
|
||
await observation_info.clear_processed_messages(message_ids_to_clear)
|
||
|
||
### [[[ 新增：调用关系和情绪更新 ]]] ###
|
||
if conversation_info: # 确保 conversation_info 存在
|
||
conversation_info.current_instance_message_count += 1
|
||
logger.debug(f"[私聊][{self.private_name}] 实例消息计数(告别语后)增加到: {conversation_info.current_instance_message_count}")
|
||
|
||
# 告别通常是结束，可以不进行增量关系更新，但情绪可以更新
|
||
# if self.relationship_updater:
|
||
# await self.relationship_updater.update_relationship_incremental(...)
|
||
|
||
sent_reply_summary = self.generated_reply[:50] if self.generated_reply else "空回复"
|
||
event_for_emotion_update = f"你发送了告别消息: '{sent_reply_summary}...'"
|
||
if self.emotion_updater:
|
||
await self.emotion_updater.update_emotion_based_on_context(
|
||
conversation_info=conversation_info,
|
||
observation_info=observation_info,
|
||
chat_observer_for_history=self.chat_observer,
|
||
event_description=event_for_emotion_update
|
||
)
|
||
# 发送成功后结束对话
|
||
self.should_continue = False
|
||
else:
|
||
# 发送失败
|
||
logger.error(f"[私聊][{self.private_name}] 动作 '{action}': 发送告别语失败。")
|
||
final_status = "recall"
|
||
final_reason = "发送告别语失败"
|
||
# 发送失败不能结束对话
|
||
self.should_continue = True
|
||
|
||
# 3. 处理重新思考目标动作
|
||
elif action == "rethink_goal":
|
||
self.state = ConversationState.RETHINKING
|
||
if not self.goal_analyzer:
|
||
raise RuntimeError("GoalAnalyzer 未初始化")
|
||
# 调用 GoalAnalyzer 分析并更新目标
|
||
await self.goal_analyzer.analyze_goal(conversation_info, observation_info)
|
||
action_successful = True # 标记成功
|
||
event_for_emotion_update = "你重新思考了对话目标和方向"
|
||
if self.emotion_updater and conversation_info and observation_info: # 确保updater和info都存在
|
||
await self.emotion_updater.update_emotion_based_on_context(
|
||
conversation_info=conversation_info,
|
||
observation_info=observation_info,
|
||
chat_observer_for_history=self.chat_observer,
|
||
event_description=event_for_emotion_update
|
||
)
|
||
|
||
# 4. 处理倾听动作
|
||
elif action == "listening":
|
||
self.state = ConversationState.LISTENING
|
||
if not self.waiter:
|
||
raise RuntimeError("Waiter 未初始化")
|
||
logger.info(f"[私聊][{self.private_name}] 动作 'listening': 进入倾听状态...")
|
||
# 调用 Waiter 的倾听等待方法，内部会处理超时
|
||
await self.waiter.wait_listening(conversation_info)
|
||
action_successful = True # listening 动作本身执行即视为成功，后续由新消息或超时驱动
|
||
event_for_emotion_update = "你决定耐心倾听对方的发言"
|
||
if self.emotion_updater and conversation_info and observation_info:
|
||
await self.emotion_updater.update_emotion_based_on_context(
|
||
conversation_info=conversation_info,
|
||
observation_info=observation_info,
|
||
chat_observer_for_history=self.chat_observer,
|
||
event_description=event_for_emotion_update
|
||
)
|
||
|
||
# 5. 处理结束对话动作
|
||
elif action == "end_conversation":
|
||
logger.info(f"[私聊][{self.private_name}] 动作 'end_conversation': 收到最终结束指令，停止对话...")
|
||
action_successful = True # 标记成功
|
||
self.should_continue = False # 设置标志以退出循环
|
||
|
||
# 6. 处理屏蔽忽略动作
|
||
elif action == "block_and_ignore":
|
||
logger.info(f"[私聊][{self.private_name}] 动作 'block_and_ignore': 不想再理你了...")
|
||
ignore_duration_seconds = 10 * 60 # 忽略 10 分钟，可配置
|
||
self.ignore_until_timestamp = time.time() + ignore_duration_seconds
|
||
logger.info(
|
||
f"[私聊][{self.private_name}] 将忽略此对话直到: {datetime.datetime.fromtimestamp(self.ignore_until_timestamp)}"
|
||
)
|
||
self.state = ConversationState.IGNORED # 设置忽略状态
|
||
action_successful = True # 标记成功
|
||
event_for_emotion_update = "当前对话让你感到不适，你决定暂时不再理会对方"
|
||
if self.emotion_updater and conversation_info and observation_info:
|
||
# 可以让LLM判断此时的情绪，或者直接设定一个倾向（比如厌恶、不耐烦）
|
||
# 这里还是让LLM判断
|
||
await self.emotion_updater.update_emotion_based_on_context(
|
||
conversation_info=conversation_info,
|
||
observation_info=observation_info,
|
||
chat_observer_for_history=self.chat_observer,
|
||
event_description=event_for_emotion_update
|
||
)
|
||
|
||
# 7. 处理等待动作
|
||
elif action == "wait":
|
||
self.state = ConversationState.WAITING
|
||
if not self.waiter:
|
||
raise RuntimeError("Waiter 未初始化")
|
||
logger.info(f"[私聊][{self.private_name}] 动作 'wait': 进入等待状态...")
|
||
# 调用 Waiter 的常规等待方法，内部处理超时
|
||
# wait 方法返回是否超时 (True=超时, False=未超时/被新消息中断)
|
||
timeout_occurred = await self.waiter.wait(self.conversation_info)
|
||
action_successful = True # wait 动作本身执行即视为成功
|
||
event_for_emotion_update = ""
|
||
if timeout_occurred: # 假设 timeout_occurred 能正确反映是否超时
|
||
event_for_emotion_update = "你等待对方回复，但对方长时间没有回应"
|
||
else:
|
||
event_for_emotion_update = "你选择等待对方的回复（对方可能很快回复了）"
|
||
|
||
if self.emotion_updater and conversation_info and observation_info:
|
||
await self.emotion_updater.update_emotion_based_on_context(
|
||
conversation_info=conversation_info,
|
||
observation_info=observation_info,
|
||
chat_observer_for_history=self.chat_observer,
|
||
event_description=event_for_emotion_update
|
||
)
|
||
# wait 动作完成后不需要清理消息，等待新消息或超时触发重新规划
|
||
logger.debug(f"[私聊][{self.private_name}] Wait 动作完成，无需在此清理消息。")
|
||
|
||
# 8. 处理未知的动作类型
|
||
else:
|
||
logger.warning(f"[私聊][{self.private_name}] 未知的动作类型: {action}")
|
||
final_status = "recall" # 未知动作标记为 recall
|
||
final_reason = f"未知的动作类型: {action}"
|
||
|
||
# --- 重置非回复动作的追问状态 ---
|
||
# 确保执行完非回复动作后，下一次规划不会错误地进入追问逻辑
|
||
if action not in ["direct_reply", "send_new_message", "say_goodbye"]:
|
||
conversation_info.last_successful_reply_action = None
|
||
# 清理可能残留的拒绝信息
|
||
conversation_info.last_reply_rejection_reason = None
|
||
conversation_info.last_rejected_reply_content = None
|
||
|
||
except asyncio.CancelledError:
|
||
# 处理任务被取消的异常
|
||
logger.warning(f"[私聊][{self.private_name}] 处理动作 '{action}' 时被取消。")
|
||
final_status = "cancelled"
|
||
final_reason = "动作处理被取消"
|
||
# 取消时也重置追问状态
|
||
conversation_info.last_successful_reply_action = None
|
||
raise # 重新抛出 CancelledError，让上层知道任务被取消
|
||
except Exception as handle_err:
|
||
# 捕获处理动作过程中的其他所有异常
|
||
logger.error(f"[私聊][{self.private_name}] 处理动作 '{action}' 时出错: {handle_err}")
|
||
logger.error(f"[私聊][{self.private_name}] {traceback.format_exc()}")
|
||
final_status = "error" # 标记为错误状态
|
||
final_reason = f"处理动作时出错: {handle_err}"
|
||
self.state = ConversationState.ERROR # 设置对话状态为错误
|
||
# 出错时重置追问状态
|
||
conversation_info.last_successful_reply_action = None
|
||
|
||
finally:
|
||
# --- 无论成功与否，都执行 ---
|
||
|
||
# 1. 重置临时存储的计数值
|
||
# 确保这个值只在当前规划周期内有效
|
||
conversation_info.other_new_messages_during_planning_count = 0
|
||
|
||
# 2. 更新动作历史记录的最终状态和原因
|
||
# 优化：如果动作成功但状态仍是默认的 recall，则更新为 done
|
||
if final_status == "recall" and action_successful:
|
||
final_status = "done"
|
||
# 根据动作类型设置更具体的成功原因
|
||
if action == "wait":
|
||
# 检查是否是因为超时结束的（需要 waiter 返回值，或者检查 goal_list）
|
||
# 这里简化处理，直接使用通用成功原因
|
||
timeout_occurred = (
|
||
any("分钟，" in g.get("goal", "") for g in conversation_info.goal_list if isinstance(g, dict))
|
||
if conversation_info.goal_list
|
||
else False
|
||
)
|
||
final_reason = "等待完成" + (" (超时)" if timeout_occurred else " (收到新消息或中断)")
|
||
elif action == "listening":
|
||
final_reason = "进入倾听状态"
|
||
elif action in ["rethink_goal", "end_conversation", "block_and_ignore"]:
|
||
final_reason = f"成功执行 {action}"
|
||
elif action in ["direct_reply", "send_new_message", "say_goodbye"]:
|
||
# 如果是因为发送成功，设置原因
|
||
final_reason = "成功发送"
|
||
else:
|
||
# 其他未知但标记成功的动作
|
||
final_reason = "动作成功完成"
|
||
|
||
elif final_status == "recall" and not action_successful:
|
||
# 如果最终是 recall 且未成功，且不是因为检查不通过（比如生成失败），确保原因合理
|
||
# 保留之前的逻辑，检查是否已有更具体的失败原因
|
||
if not final_reason or final_reason == "动作未成功执行":
|
||
# 检查是否有 checker 的原因
|
||
checker_reason = conversation_info.last_reply_rejection_reason
|
||
if checker_reason:
|
||
final_reason = f"回复检查不通过: {checker_reason}"
|
||
else:
|
||
final_reason = "动作执行失败或被取消" # 通用失败原因
|
||
|
||
# 更新历史记录字典
|
||
if conversation_info.done_action and action_index < len(conversation_info.done_action):
|
||
# 使用 update 方法更新字典，更安全
|
||
conversation_info.done_action[action_index].update(
|
||
{
|
||
"status": final_status, # 最终状态
|
||
"time_completed": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), # 完成时间
|
||
"final_reason": final_reason, # 最终原因
|
||
"duration_ms": int((time.time() - action_start_time) * 1000), # 记录耗时（毫秒）
|
||
}
|
||
)
|
||
logger.debug(
|
||
f"[私聊][{self.private_name}] 动作 '{action}' 最终状态: {final_status}, 原因: {final_reason}"
|
||
)
|
||
else:
|
||
# 如果索引无效或列表为空，记录错误
|
||
logger.error(f"[私聊][{self.private_name}] 无法更新动作历史记录，索引 {action_index} 无效或列表为空。")
|
||
|
||
async def _send_reply(self) -> bool:
|
||
"""发送 `self.generated_reply` 中的内容到聊天流"""
|
||
# 检查是否有内容可发送
|
||
if not self.generated_reply:
|
||
logger.warning(f"[私聊][{self.private_name}] 没有生成回复内容，无法发送。")
|
||
return False
|
||
# 检查发送器和聊天流是否已初始化
|
||
if not self.direct_sender:
|
||
logger.error(f"[私聊][{self.private_name}] DirectMessageSender 未初始化，无法发送。")
|
||
return False
|
||
if not self.chat_stream:
|
||
logger.error(f"[私聊][{self.private_name}] ChatStream 未初始化，无法发送。")
|
||
return False
|
||
|
||
try:
|
||
reply_content = self.generated_reply
|
||
# 调用发送器发送消息，不指定回复对象
|
||
await self.direct_sender.send_message(
|
||
chat_stream=self.chat_stream,
|
||
content=reply_content,
|
||
reply_to_message=None, # 私聊通常不需要引用回复
|
||
)
|
||
# 自身发言数量累计 +1
|
||
self.conversation_info.my_message_count += 1
|
||
# 发送成功后，将状态设置回分析，准备下一轮规划
|
||
self.state = ConversationState.ANALYZING
|
||
return True # 返回成功
|
||
except Exception as e:
|
||
# 捕获发送过程中的异常
|
||
logger.error(f"[私聊][{self.private_name}] 发送消息时失败: {str(e)}")
|
||
logger.error(f"[私聊][{self.private_name}] {traceback.format_exc()}")
|
||
self.state = ConversationState.ERROR # 发送失败标记错误状态
|
||
return False # 返回失败
|
||
|
||
async def _send_timeout_message(self):
|
||
"""在等待超时后发送一条结束消息"""
|
||
# 检查发送器和聊天流
|
||
if not self.direct_sender or not self.chat_stream:
|
||
logger.warning(f"[私聊][{self.private_name}] 发送器或聊天流未初始化，无法发送超时消息。")
|
||
return
|
||
try:
|
||
# 定义超时消息内容，可以考虑配置化或由 LLM 生成
|
||
timeout_content = "我们好像很久没说话了，先这样吧~"
|
||
# 发送超时消息
|
||
await self.direct_sender.send_message(
|
||
chat_stream=self.chat_stream, content=timeout_content, reply_to_message=None
|
||
)
|
||
logger.info(f"[私聊][{self.private_name}] 已发送超时结束消息。")
|
||
# 发送超时消息后，通常意味着对话结束，调用 stop
|
||
await self.stop()
|
||
except Exception as e:
|
||
# 捕获发送超时消息的异常
|
||
logger.error(f"[私聊][{self.private_name}] 发送超时消息失败: {str(e)}")
|