mirror of https://github.com/Mai-with-u/MaiBot.git
feat: 添加闲置聊天功能
lokong
parent
db39318ffb
commit
440f474599
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@ -10,6 +10,7 @@ from typing import Dict, Any, Optional
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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
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from .idle_conversation_starter import IdleConversationStarter
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from .message_sender import DirectMessageSender
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from src.common.logger_manager import get_logger
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from .action_planner import ActionPlanner
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@ -55,6 +56,7 @@ class Conversation:
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self.knowledge_fetcher = KnowledgeFetcher(self.private_name)
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self.waiter = Waiter(self.stream_id, self.private_name)
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self.direct_sender = DirectMessageSender(self.private_name)
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self.idle_conversation_starter = IdleConversationStarter(self.stream_id, self.private_name)
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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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@ -113,6 +115,9 @@ class Conversation:
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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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# 初始化空闲对话检测器的最后消息时间
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await self.idle_conversation_starter.update_last_message_time(self.observation_info.last_message_time)
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else:
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logger.info(f"[私聊][{self.private_name}]没有找到初始聊天记录。")
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@ -121,6 +126,11 @@ class Conversation:
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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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# 启动空闲对话检测器
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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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asyncio.create_task(self.start())
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async def start(self):
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@ -137,6 +147,10 @@ class Conversation:
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while self.should_continue:
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# 忽略逻辑
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if self.ignore_until_timestamp and time.time() < self.ignore_until_timestamp:
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# 暂停空闲对话检测器，避免在忽略期间触发
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if hasattr(self, 'idle_conversation_starter') and self.idle_conversation_starter._running:
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self.idle_conversation_starter.stop()
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logger.debug(f"[私聊][{self.private_name}]对话被暂时忽略，暂停空闲对话检测")
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await asyncio.sleep(30)
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continue
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elif self.ignore_until_timestamp and time.time() >= self.ignore_until_timestamp:
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@ -144,6 +158,12 @@ class Conversation:
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self.ignore_until_timestamp = None
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self.should_continue = False
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continue
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else:
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# 确保空闲对话检测器在正常对话时是启动的
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if hasattr(self, 'idle_conversation_starter') and not self.idle_conversation_starter._running:
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self.idle_conversation_starter.start()
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logger.debug(f"[私聊][{self.private_name}]恢复空闲对话检测")
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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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@ -368,6 +388,9 @@ class Conversation:
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self.conversation_info.last_successful_reply_action = "send_new_message"
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action_successful = True # 标记动作成功
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# 更新最后消息时间，重置空闲检测计时器
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await self.idle_conversation_starter.update_last_message_time()
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elif need_replan:
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# 打回动作决策
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logger.warning(
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@ -472,6 +495,9 @@ class Conversation:
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self.conversation_info.last_successful_reply_action = "direct_reply"
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action_successful = True # 标记动作成功
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# 更新最后消息时间，重置空闲检测计时器
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await self.idle_conversation_starter.update_last_message_time()
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elif need_replan:
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# 打回动作决策
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logger.warning(
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@ -696,3 +722,15 @@ class Conversation:
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)
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except Exception as e:
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logger.error(f"[私聊][{self.private_name}]发送超时消息失败: {str(e)}")
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async def stop(self):
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"""停止对话处理"""
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logger.info(f"[私聊][{self.private_name}]停止对话 {self.stream_id}")
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self.should_continue = False
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# 停止空闲对话检测器
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if hasattr(self, 'idle_conversation_starter'):
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self.idle_conversation_starter.stop()
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if hasattr(self, 'chat_observer'):
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self.chat_observer.stop()
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@ -0,0 +1,351 @@
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from typing import List, Tuple, TYPE_CHECKING, Optional, Union
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import asyncio
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import time
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import random
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from src.common.logger import get_module_logger
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from ..models.utils_model import LLMRequest
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from ...config.config import global_config
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from .chat_observer import ChatObserver
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from .message_sender import DirectMessageSender
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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.individuality.individuality import Individuality
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from src.plugins.utils.chat_message_builder import build_readable_messages
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if TYPE_CHECKING:
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from ..chat.message import Message
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from .conversation import Conversation
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logger = get_module_logger("pfc")
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class IdleConversationStarter:
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"""长时间无对话主动发起对话的组件
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该组件会在一段时间没有对话后，自动生成一条消息发送给用户，以保持对话的活跃度。
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时间阈值会在配置的最小和最大值之间随机选择，每次发送消息后都会重置。
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"""
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def __init__(self, stream_id: str, private_name: str):
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"""初始化空闲对话启动器
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Args:
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stream_id: 聊天流ID
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private_name: 私聊用户名称
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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.chat_observer = ChatObserver.get_instance(stream_id, private_name)
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self.message_sender = DirectMessageSender(private_name)
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# 添加异步锁，保护对共享变量的访问
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self._lock: asyncio.Lock = asyncio.Lock()
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# LLM请求对象，用于生成主动对话内容
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self.llm = LLMRequest(
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model=global_config.llm_normal, temperature=0.8, max_tokens=500, request_type="idle_conversation_starter"
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)
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# 个性化信息
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self.personality_info: str = Individuality.get_instance().get_prompt(x_person=2, level=3)
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self.name: str = global_config.BOT_NICKNAME
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self.nick_name: List[str] = global_config.BOT_ALIAS_NAMES
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# 从配置文件读取配置参数，或使用默认值
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self.enabled: bool = getattr(global_config, 'idle_conversation', {}).get('enable_idle_conversation', True)
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self.idle_check_interval: int = getattr(global_config, 'idle_conversation', {}).get('idle_check_interval', 10)
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self.min_idle_time: int = getattr(global_config, 'idle_conversation', {}).get('min_idle_time', 60)
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self.max_idle_time: int = getattr(global_config, 'idle_conversation', {}).get('max_idle_time', 120)
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# 计算实际触发阈值（在min和max之间随机）
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self.actual_idle_threshold: int = random.randint(self.min_idle_time, self.max_idle_time)
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# 工作状态
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self.last_message_time: float = time.time()
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self._running: bool = False
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self._task: Optional[asyncio.Task] = None
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def start(self) -> None:
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"""启动空闲对话检测
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如果功能被禁用或已经在运行，则不会启动。
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"""
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# 如果功能被禁用，则不启动
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if not self.enabled:
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logger.info(f"[私聊][{self.private_name}]主动发起对话功能已禁用")
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return
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if self._running:
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logger.debug(f"[私聊][{self.private_name}]主动发起对话功能已在运行中")
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return
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self._running = True
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self._task = asyncio.create_task(self._check_idle_loop())
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logger.info(f"[私聊][{self.private_name}]启动空闲对话检测，阈值设置为{self.actual_idle_threshold}秒")
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def stop(self) -> None:
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"""停止空闲对话检测
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取消当前运行的任务并重置状态。
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"""
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if not self._running:
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return
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self._running = False
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if self._task:
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self._task.cancel()
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self._task = None
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logger.info(f"[私聊][{self.private_name}]停止空闲对话检测")
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async def update_last_message_time(self, message_time: Optional[float] = None) -> None:
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"""更新最后一条消息的时间
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Args:
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message_time: 消息时间戳，如果为None则使用当前时间
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"""
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async with self._lock:
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self.last_message_time = message_time or time.time()
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# 重新随机化下一次触发的时间阈值
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self.actual_idle_threshold = random.randint(self.min_idle_time, self.max_idle_time)
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logger.debug(f"[私聊][{self.private_name}]更新最后消息时间: {self.last_message_time}，新阈值: {self.actual_idle_threshold}秒")
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def reload_config(self) -> None:
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"""重新加载配置
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从配置文件重新读取所有参数，以便动态调整空闲对话检测的行为。
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"""
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try:
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# 从配置文件重新读取参数
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self.enabled = getattr(global_config, 'idle_conversation', {}).get('enable_idle_conversation', True)
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self.idle_check_interval = getattr(global_config, 'idle_conversation', {}).get('idle_check_interval', 10)
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self.min_idle_time = getattr(global_config, 'idle_conversation', {}).get('min_idle_time', 7200)
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self.max_idle_time = getattr(global_config, 'idle_conversation', {}).get('max_idle_time', 18000)
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logger.debug(f"[私聊][{self.private_name}]重新加载主动对话配置: 启用={self.enabled}, 检查间隔={self.idle_check_interval}秒, 最短间隔={self.min_idle_time}秒, 最长间隔={self.max_idle_time}秒")
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# 重新计算实际阈值
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async def update_threshold():
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async with self._lock:
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self.actual_idle_threshold = random.randint(self.min_idle_time, self.max_idle_time)
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logger.debug(f"[私聊][{self.private_name}]更新空闲检测阈值为: {self.actual_idle_threshold}秒")
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# 创建一个任务来异步更新阈值
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asyncio.create_task(update_threshold())
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except Exception as e:
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logger.error(f"[私聊][{self.private_name}]重新加载配置时出错: {str(e)}")
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async def _check_idle_loop(self) -> None:
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"""检查空闲状态的循环
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定期检查是否长时间无对话，如果达到阈值则尝试主动发起对话。
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"""
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try:
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config_reload_counter = 0
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config_reload_interval = 100 # 每100次检查重新加载一次配置
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while self._running:
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# 定期重新加载配置
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config_reload_counter += 1
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if config_reload_counter >= config_reload_interval:
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self.reload_config()
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config_reload_counter = 0
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# 检查是否启用了主动对话功能
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if not self.enabled:
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# 如果禁用了功能，就等待一段时间后再次检查配置
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await asyncio.sleep(self.idle_check_interval)
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continue
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# 使用锁保护对共享变量的读取
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current_time = time.time()
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async with self._lock:
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idle_time = current_time - self.last_message_time
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threshold = self.actual_idle_threshold
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if idle_time >= threshold:
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logger.info(f"[私聊][{self.private_name}]检测到长时间({idle_time:.0f}秒)无对话，尝试主动发起聊天")
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await self._initiate_conversation()
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# 更新时间，避免连续触发
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await self.update_last_message_time()
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# 等待下一次检查
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await asyncio.sleep(self.idle_check_interval)
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except asyncio.CancelledError:
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logger.debug(f"[私聊][{self.private_name}]空闲对话检测任务被取消")
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except Exception as e:
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logger.error(f"[私聊][{self.private_name}]空闲对话检测出错: {str(e)}")
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# 尝试重新启动检测循环
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if self._running:
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logger.info(f"[私聊][{self.private_name}]尝试重新启动空闲对话检测")
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self._task = asyncio.create_task(self._check_idle_loop())
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async def _initiate_conversation(self) -> None:
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"""生成并发送主动对话内容
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获取聊天历史记录，使用LLM生成合适的开场白，然后发送消息。
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"""
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try:
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# 获取聊天历史记录，用于生成更合适的开场白
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messages = self.chat_observer.get_cached_messages(limit=12) # 获取最近12条消息
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chat_history_text = await build_readable_messages(
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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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# 构建提示词
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prompt = f"""{self.personality_info}。你的名字是{self.name}。
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你正在与用户{self.private_name}进行QQ私聊,
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但已经有一段时间没有对话了。
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你想要主动发起一个友好的对话，可以说说自己在做的事情或者询问对方在做什么。
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请基于以下之前的对话历史，生成一条自然、友好、符合你个性的主动对话消息。
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这条消息应该能够引起用户的兴趣，重新开始对话。
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最近的对话历史（可能已经过去了很久）：
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{chat_history_text}
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请直接输出一条消息，不要有任何额外的解释或引导文字。消息要简短自然，就像是在日常聊天中的开场白。
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消息内容尽量简短,不要超过20个字,不要添加任何表情符号。
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"""
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# 尝试生成回复，添加超时处理
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try:
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content, _ = await asyncio.wait_for(
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self.llm.generate_response_async(prompt),
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timeout=30 # 30秒超时
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)
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except asyncio.TimeoutError:
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logger.error(f"[私聊][{self.private_name}]生成主动对话内容超时")
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return
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except Exception as llm_err:
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logger.error(f"[私聊][{self.private_name}]生成主动对话内容失败: {str(llm_err)}")
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return
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# 清理结果
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content = content.strip()
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content = content.strip('"\'')
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if not content:
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logger.error(f"[私聊][{self.private_name}]生成的主动对话内容为空")
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return
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# 统一错误处理，从这里开始所有操作都在同一个try-except块中
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logger.debug(f"[私聊][{self.private_name}]成功生成主动对话内容: {content}，准备发送")
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from .pfc_manager import PFCManager
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from src.plugins.chat.chat_stream import chat_manager
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# 获取当前实例
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pfc_manager = PFCManager.get_instance()
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# 结束当前对话实例（如果存在）
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current_conversation = await pfc_manager.get_conversation(self.stream_id)
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if current_conversation:
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logger.info(f"[私聊][{self.private_name}]结束当前对话实例，准备创建新实例")
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try:
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await current_conversation.stop()
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await pfc_manager.remove_conversation(self.stream_id)
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except Exception as e:
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logger.warning(f"[私聊][{self.private_name}]结束当前对话实例时出错: {str(e)}，继续创建新实例")
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# 创建新的对话实例
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logger.info(f"[私聊][{self.private_name}]创建新的对话实例以发送主动消息")
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new_conversation = None
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try:
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new_conversation = await pfc_manager.get_or_create_conversation(self.stream_id, self.private_name)
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except Exception as e:
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logger.error(f"[私聊][{self.private_name}]创建新对话实例失败: {str(e)}")
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return
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# 确保新对话实例已初始化完成
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chat_stream = await self._get_chat_stream(new_conversation)
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if not chat_stream:
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logger.error(f"[私聊][{self.private_name}]无法获取有效的聊天流，取消发送主动消息")
|
||||
return
|
||||
|
||||
# 发送消息
|
||||
try:
|
||||
await self.message_sender.send_message(
|
||||
chat_stream=chat_stream,
|
||||
content=content,
|
||||
reply_to_message=None
|
||||
)
|
||||
|
||||
# 更新空闲会话启动器的最后消息时间
|
||||
await self.update_last_message_time()
|
||||
|
||||
# 如果新对话实例有一个聊天观察者，请触发更新
|
||||
if new_conversation and hasattr(new_conversation, 'chat_observer'):
|
||||
logger.info(f"[私聊][{self.private_name}]触发聊天观察者更新")
|
||||
try:
|
||||
new_conversation.chat_observer.trigger_update()
|
||||
except Exception as e:
|
||||
logger.warning(f"[私聊][{self.private_name}]触发聊天观察者更新失败: {str(e)}")
|
||||
|
||||
logger.success(f"[私聊][{self.private_name}]成功主动发起对话: {content}")
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]发送主动对话消息失败: {str(e)}")
|
||||
|
||||
except Exception as e:
|
||||
# 顶级异常处理，确保任何未捕获的异常都不会导致整个进程崩溃
|
||||
logger.error(f"[私聊][{self.private_name}]主动发起对话过程中发生未预期的错误: {str(e)}")
|
||||
|
||||
async def _get_chat_stream(self, conversation: Optional['Conversation'] = None) -> Optional[ChatStream]:
|
||||
"""获取可用的聊天流
|
||||
|
||||
尝试多种方式获取聊天流：
|
||||
1. 从传入的对话实例中获取
|
||||
2. 从全局聊天管理器中获取
|
||||
3. 创建一个新的聊天流
|
||||
|
||||
Args:
|
||||
conversation: 对话实例，可以为None
|
||||
|
||||
Returns:
|
||||
Optional[ChatStream]: 如果成功获取则返回聊天流，否则返回None
|
||||
"""
|
||||
chat_stream = None
|
||||
|
||||
# 1. 尝试从对话实例获取
|
||||
if conversation and hasattr(conversation, 'should_continue'):
|
||||
# 等待一小段时间，确保初始化完成
|
||||
retry_count = 0
|
||||
max_retries = 10
|
||||
while not conversation.should_continue and retry_count < max_retries:
|
||||
await asyncio.sleep(0.5)
|
||||
retry_count += 1
|
||||
logger.debug(f"[私聊][{self.private_name}]等待新对话实例初始化完成: 尝试 {retry_count}/{max_retries}")
|
||||
|
||||
if not conversation.should_continue:
|
||||
logger.warning(f"[私聊][{self.private_name}]新对话实例初始化可能未完成，但仍将尝试获取聊天流")
|
||||
|
||||
# 尝试使用对话实例的聊天流
|
||||
if hasattr(conversation, 'chat_stream') and conversation.chat_stream:
|
||||
logger.info(f"[私聊][{self.private_name}]使用新对话实例的聊天流")
|
||||
return conversation.chat_stream
|
||||
|
||||
# 2. 尝试从聊天管理器获取
|
||||
from src.plugins.chat.chat_stream import chat_manager
|
||||
try:
|
||||
logger.info(f"[私聊][{self.private_name}]尝试从chat_manager获取聊天流")
|
||||
chat_stream = chat_manager.get_stream(self.stream_id)
|
||||
if chat_stream:
|
||||
return chat_stream
|
||||
except Exception as e:
|
||||
logger.warning(f"[私聊][{self.private_name}]从chat_manager获取聊天流失败: {str(e)}")
|
||||
|
||||
# 3. 创建新的聊天流
|
||||
try:
|
||||
logger.warning(f"[私聊][{self.private_name}]无法获取现有聊天流，创建新的聊天流")
|
||||
# 创建用户信息对象
|
||||
user_info = UserInfo(
|
||||
user_id=global_config.BOT_QQ,
|
||||
user_nickname=global_config.BOT_NICKNAME,
|
||||
platform="qq"
|
||||
)
|
||||
# 创建聊天流
|
||||
return ChatStream(self.stream_id, "qq", user_info)
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]创建新聊天流失败: {str(e)}")
|
||||
return None
|
||||
|
|
@ -33,6 +33,7 @@ class PFCManager:
|
|||
|
||||
Args:
|
||||
stream_id: 聊天流ID
|
||||
private_name: 私聊名称
|
||||
|
||||
Returns:
|
||||
Optional[Conversation]: 对话实例，创建失败则返回None
|
||||
|
|
@ -61,7 +62,12 @@ class PFCManager:
|
|||
if instance.should_continue:
|
||||
logger.debug(f"[私聊][{private_name}]使用现有会话实例: {stream_id}")
|
||||
return instance
|
||||
# else: 实例存在但不应继续
|
||||
else:
|
||||
# 清理旧实例资源
|
||||
await self._cleanup_conversation(instance)
|
||||
del self._instances[stream_id]
|
||||
|
||||
# 创建新实例
|
||||
try:
|
||||
# 创建新实例
|
||||
logger.info(f"[私聊][{private_name}]创建新的对话实例: {stream_id}")
|
||||
|
|
@ -102,6 +108,25 @@ class PFCManager:
|
|||
logger.error(f"[私聊][{private_name}]{traceback.format_exc()}")
|
||||
# 清理失败的初始化
|
||||
|
||||
async def _cleanup_conversation(self, conversation: Conversation):
|
||||
"""清理会话实例的资源
|
||||
|
||||
Args:
|
||||
conversation: 要清理的会话实例
|
||||
"""
|
||||
try:
|
||||
# 调用conversation的停止方法，确保所有组件都被正确关闭
|
||||
if hasattr(conversation, 'stop') and callable(conversation.stop):
|
||||
await conversation.stop()
|
||||
|
||||
# 特别确保空闲对话检测器被关闭
|
||||
if hasattr(conversation, 'idle_conversation_starter'):
|
||||
conversation.idle_conversation_starter.stop()
|
||||
|
||||
logger.info(f"[私聊][{conversation.private_name}]会话实例 {conversation.stream_id} 资源已清理")
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{conversation.private_name}]清理会话实例资源失败: {e}")
|
||||
|
||||
async def get_conversation(self, stream_id: str) -> Optional[Conversation]:
|
||||
"""获取已存在的会话实例
|
||||
|
||||
|
|
@ -112,3 +137,19 @@ class PFCManager:
|
|||
Optional[Conversation]: 会话实例，不存在则返回None
|
||||
"""
|
||||
return self._instances.get(stream_id)
|
||||
|
||||
async def remove_conversation(self, stream_id: str):
|
||||
"""移除会话实例
|
||||
|
||||
Args:
|
||||
stream_id: 聊天流ID
|
||||
"""
|
||||
if stream_id in self._instances:
|
||||
try:
|
||||
# 清理资源
|
||||
await self._cleanup_conversation(self._instances[stream_id])
|
||||
# 删除实例引用
|
||||
del self._instances[stream_id]
|
||||
logger.info(f"会话实例 {stream_id} 已从管理器中移除")
|
||||
except Exception as e:
|
||||
logger.error(f"移除会话实例 {stream_id} 失败: {e}")
|
||||
|
|
|
|||
|
|
@ -290,6 +290,12 @@ provider = "SILICONFLOW"
|
|||
pri_in = 2
|
||||
pri_out = 8
|
||||
|
||||
[idle_conversation]
|
||||
enable_idle_conversation = true
|
||||
idle_check_interval = 10 # 检查间隔，10分钟检查一次
|
||||
min_idle_time = 7200 # 最短无活动时间，2小时 (7200秒)
|
||||
max_idle_time = 18000 # 最长无活动时间，5小时 (18000秒)
|
||||
|
||||
|
||||
#以下模型暂时没有使用！！
|
||||
#以下模型暂时没有使用！！
|
||||
|
|
|
|||
Loading…
Reference in New Issue