mirror of https://github.com/Mai-with-u/MaiBot.git
451 lines
20 KiB
Python
451 lines
20 KiB
Python
import time
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import threading # 导入 threading
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from random import random
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import traceback
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import asyncio
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from typing import List, Dict
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from ..moods.moods import MoodManager
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from ...config.config import global_config
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from ..chat.emoji_manager import emoji_manager
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from .normal_chat_generator import ResponseGenerator
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from ..chat.message import MessageSending, MessageRecv, MessageThinking, MessageSet
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from ..chat.message_sender import message_manager
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from ..storage.storage import MessageStorage
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from ..chat.utils import is_mentioned_bot_in_message
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from ..chat.utils_image import image_path_to_base64
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from ..willing.willing_manager import willing_manager
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from ..message import UserInfo, Seg
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from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
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from src.plugins.chat.chat_stream import ChatStream, chat_manager
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from src.plugins.person_info.relationship_manager import relationship_manager
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from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
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from src.plugins.utils.timer_calculater import Timer
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from src.heart_flow.heartflow import heartflow
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from src.heart_flow.sub_heartflow import ChatState
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# 定义日志配置
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chat_config = LogConfig(
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console_format=CHAT_STYLE_CONFIG["console_format"],
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file_format=CHAT_STYLE_CONFIG["file_format"],
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)
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logger = get_module_logger("normal_chat", config=chat_config)
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class NormalChat:
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_instance = None
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_lock = threading.Lock()
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_initialized = False
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def __new__(cls, *args, **kwargs):
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if cls._instance is None:
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with cls._lock:
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# Double-check locking
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if cls._instance is None:
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cls._instance = super().__new__(cls)
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return cls._instance
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def __init__(self):
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# 防止重复初始化
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if self._initialized:
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return
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with self.__class__._lock: # 使用类锁确保线程安全
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if self._initialized:
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return
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logger.info("正在初始化 NormalChat 单例...") # 添加日志
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self.storage = MessageStorage()
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self.gpt = ResponseGenerator()
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self.mood_manager = MoodManager.get_instance()
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# 用于存储每个 chat stream 的兴趣监控任务
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self._interest_monitoring_tasks: Dict[str, asyncio.Task] = {}
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self._initialized = True
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logger.info("NormalChat 单例初始化完成。") # 添加日志
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@classmethod
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def get_instance(cls):
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"""获取 NormalChat 的单例实例。"""
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if cls._instance is None:
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# 如果实例还未创建（理论上应该在 main 中初始化，但作为备用）
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logger.warning("NormalChat 实例在首次 get_instance 时创建。")
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cls() # 调用构造函数来创建实例
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return cls._instance
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@staticmethod
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async def _create_thinking_message(message, chat, userinfo, messageinfo):
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"""创建思考消息"""
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bot_user_info = UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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platform=messageinfo.platform,
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)
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thinking_time_point = round(time.time(), 2)
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thinking_id = "mt" + str(thinking_time_point)
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thinking_message = MessageThinking(
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message_id=thinking_id,
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chat_stream=chat,
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bot_user_info=bot_user_info,
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reply=message,
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thinking_start_time=thinking_time_point,
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)
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message_manager.add_message(thinking_message)
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return thinking_id
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@staticmethod
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async def _send_response_messages(message, chat, response_set: List[str], thinking_id) -> MessageSending:
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"""发送回复消息"""
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container = await message_manager.get_container(chat.stream_id)
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thinking_message = None
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for msg in container.messages[:]:
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if isinstance(msg, MessageThinking) and msg.message_info.message_id == thinking_id:
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thinking_message = msg
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container.messages.remove(msg)
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break
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if not thinking_message:
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logger.warning(f"[{chat.stream_id}] 未找到对应的思考消息 {thinking_id}，可能已超时被移除")
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return None
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thinking_start_time = thinking_message.thinking_start_time
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message_set = MessageSet(chat, thinking_id)
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mark_head = False
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first_bot_msg = None
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for msg in response_set:
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message_segment = Seg(type="text", data=msg)
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bot_message = MessageSending(
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message_id=thinking_id,
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chat_stream=chat,
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bot_user_info=UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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platform=message.message_info.platform,
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),
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sender_info=message.message_info.user_info,
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message_segment=message_segment,
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reply=message,
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is_head=not mark_head,
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is_emoji=False,
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thinking_start_time=thinking_start_time,
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apply_set_reply_logic=True
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)
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if not mark_head:
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mark_head = True
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first_bot_msg = bot_message
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message_set.add_message(bot_message)
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await message_manager.add_message(message_set)
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return first_bot_msg
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@staticmethod
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async def _handle_emoji(message, chat, response):
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"""处理表情包"""
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if random() < global_config.emoji_chance:
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emoji_raw = await emoji_manager.get_emoji_for_text(response)
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if emoji_raw:
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emoji_path, description = emoji_raw
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emoji_cq = image_path_to_base64(emoji_path)
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thinking_time_point = round(message.message_info.time, 2)
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message_segment = Seg(type="emoji", data=emoji_cq)
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bot_message = MessageSending(
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message_id="mt" + str(thinking_time_point),
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chat_stream=chat,
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bot_user_info=UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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platform=message.message_info.platform,
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),
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sender_info=message.message_info.user_info,
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message_segment=message_segment,
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reply=message,
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is_head=False,
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is_emoji=True,
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apply_set_reply_logic=True
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)
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await message_manager.add_message(bot_message)
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async def _update_relationship(self, message: MessageRecv, response_set):
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"""更新关系情绪"""
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ori_response = ",".join(response_set)
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stance, emotion = await self.gpt._get_emotion_tags(ori_response, message.processed_plain_text)
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await relationship_manager.calculate_update_relationship_value(
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chat_stream=message.chat_stream, label=emotion, stance=stance
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)
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self.mood_manager.update_mood_from_emotion(emotion, global_config.mood_intensity_factor)
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async def _find_interested_message(self, chat: ChatStream) -> None:
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# 此函数设计为后台任务，轮询指定 chat 的兴趣消息。
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# 它通常由外部代码在 chat 流活跃时启动。
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stream_id = chat.stream_id # 获取 stream_id
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# logger.info(f"[{stream_id}] 兴趣消息监控任务启动。") # 减少日志
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while True:
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await asyncio.sleep(1) # 每秒检查一次
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subheartflow = heartflow.get_subheartflow(stream_id)
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if not subheartflow or subheartflow.should_stop:
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# logger.info(f"[{stream_id}] SubHeartflow 不存在或已停止，兴趣消息监控任务退出。") # 减少日志
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break
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interest_dict = subheartflow.get_interest_dict()
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items_to_process = list(interest_dict.items())
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if not items_to_process:
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continue
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for msg_id, (message, interest_value, is_mentioned) in items_to_process:
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# --- 在处理前检查 SubHeartflow 的状态 --- #
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current_chat_state = subheartflow.chat_state.chat_status
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stream_name = chat_manager.get_stream_name(stream_id) or stream_id
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if current_chat_state != ChatState.CHAT:
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# 如果不是闲聊状态 (可能是 ABSENT 或 FOCUSED)，则跳过推理聊天
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# logger.debug(f"[{stream_name}] 跳过处理兴趣消息 {msg_id}，因为当前状态为 {current_chat_state.value}")
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# 移除消息并继续下一个
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removed_item = interest_dict.pop(msg_id, None)
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if removed_item:
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# logger.debug(f"[{stream_name}] 已从兴趣字典中移除消息 {msg_id} (因状态跳过)") # 减少日志
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pass
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continue # 处理下一条消息
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# --- 结束状态检查 --- #
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# --- 检查 HeartFChatting 是否活跃 (改为检查 SubHeartflow 状态) --- #
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is_focused = subheartflow.chat_state.chat_status == ChatState.FOCUSED
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if is_focused: # New check: If the subflow is focused, NormalChat shouldn't process
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removed_item = interest_dict.pop(msg_id, None)
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if removed_item:
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# logger.debug(f"[{stream_name}] SubHeartflow 处于 FOCUSED 状态，已跳过并移除 NormalChat 兴趣消息 {msg_id}") # Reduce noise
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pass
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continue
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# --- 结束检查 --- #
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# 只有当状态为 CHAT 且 HeartFChatting 不活跃 (即 Subflow 不是 FOCUSED) 时才执行以下处理逻辑
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try:
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await self.normal_normal_chat(
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message=message,
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chat=chat,
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is_mentioned=is_mentioned,
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interested_rate=interest_value,
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)
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except Exception as e:
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logger.error(f"[{stream_name}] 处理兴趣消息 {msg_id} 时出错: {e}\n{traceback.format_exc()}")
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finally:
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removed_item = interest_dict.pop(msg_id, None)
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if removed_item:
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# logger.debug(f"[{stream_name}] 已从兴趣字典中移除消息 {msg_id}") # 减少日志
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pass
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async def normal_normal_chat(
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self, message: MessageRecv, chat: ChatStream, is_mentioned: bool, interested_rate: float
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) -> None:
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timing_results = {}
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userinfo = message.message_info.user_info
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messageinfo = message.message_info
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stream_id = chat.stream_id
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stream_name = chat_manager.get_stream_name(stream_id) or stream_id
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# --- 在开始时检查 SubHeartflow 状态 --- #
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sub_hf = heartflow.get_subheartflow(stream_id)
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if not sub_hf:
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logger.warning(f"[{stream_name}] 无法获取 SubHeartflow，无法执行 normal_normal_chat。")
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return
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current_chat_state = sub_hf.chat_state.chat_status
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if current_chat_state != ChatState.CHAT:
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logger.debug(
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f"[{stream_name}] 跳过 normal_normal_chat，因为 SubHeartflow 状态为 {current_chat_state.value} (需要 CHAT)。"
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)
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# 可以在这里添加 not_reply_handle 逻辑吗？ 如果不回复，也需要清理意愿。
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# 注意：willing_manager.setup 尚未调用
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willing_manager.setup(message, chat, is_mentioned, interested_rate) # 先 setup
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await willing_manager.not_reply_handle(message.message_info.message_id)
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willing_manager.delete(message.message_info.message_id)
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return
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# --- 结束状态检查 --- #
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# --- 接下来的逻辑只在 ChatState.CHAT 状态下执行 --- #
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is_mentioned, reply_probability = is_mentioned_bot_in_message(message)
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# 意愿管理器：设置当前message信息
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willing_manager.setup(message, chat, is_mentioned, interested_rate)
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# 获取回复概率
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is_willing = False
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if reply_probability != 1:
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is_willing = True
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reply_probability = await willing_manager.get_reply_probability(message.message_info.message_id)
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if message.message_info.additional_config:
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if "maimcore_reply_probability_gain" in message.message_info.additional_config.keys():
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reply_probability += message.message_info.additional_config["maimcore_reply_probability_gain"]
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# 打印消息信息
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mes_name = chat.group_info.group_name if chat.group_info else "私聊"
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current_time = time.strftime("%H:%M:%S", time.localtime(message.message_info.time))
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willing_log = f"[回复意愿:{await willing_manager.get_willing(chat.stream_id):.2f}]" if is_willing else ""
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logger.info(
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f"[{current_time}][{mes_name}]"
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f"{chat.user_info.user_nickname}:"
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f"{message.processed_plain_text}{willing_log}[概率:{reply_probability * 100:.1f}%]"
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)
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do_reply = False
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if random() < reply_probability:
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do_reply = True
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# 回复前处理
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await willing_manager.before_generate_reply_handle(message.message_info.message_id)
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# 创建思考消息
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with Timer("创建思考消息", timing_results):
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thinking_id = await self._create_thinking_message(message, chat, userinfo, messageinfo)
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logger.debug(f"创建捕捉器，thinking_id:{thinking_id}")
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info_catcher = info_catcher_manager.get_info_catcher(thinking_id)
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info_catcher.catch_decide_to_response(message)
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# 生成回复
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sub_hf = heartflow.get_subheartflow(stream_id)
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try:
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with Timer("生成回复", timing_results):
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response_set = await self.gpt.generate_response(
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sub_hf=sub_hf,
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message=message,
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thinking_id=thinking_id,
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)
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info_catcher.catch_after_generate_response(timing_results["生成回复"])
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except Exception as e:
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logger.error(f"回复生成出现错误：{str(e)} {traceback.format_exc()}")
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response_set = None
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if not response_set:
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logger.info(f"[{chat.stream_id}] 模型未生成回复内容")
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# 如果模型未生成回复，移除思考消息
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container = await message_manager.get_container(chat.stream_id)
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# thinking_message = None
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for msg in container.messages[:]: # Iterate over a copy
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if isinstance(msg, MessageThinking) and msg.message_info.message_id == thinking_id:
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# thinking_message = msg
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container.messages.remove(msg)
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# container.remove_message(msg) # 直接移除
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logger.debug(f"[{chat.stream_id}] 已移除未产生回复的思考消息 {thinking_id}")
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break
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return # 不发送回复
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logger.info(f"[{chat.stream_id}] 回复内容: {response_set}")
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# 发送回复
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with Timer("消息发送", timing_results):
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first_bot_msg = await self._send_response_messages(message, chat, response_set, thinking_id)
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info_catcher.catch_after_response(timing_results["消息发送"], response_set, first_bot_msg)
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info_catcher.done_catch()
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# 处理表情包
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with Timer("处理表情包", timing_results):
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await self._handle_emoji(message, chat, response_set[0])
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# 更新关系情绪
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with Timer("关系更新", timing_results):
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await self._update_relationship(message, response_set)
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# 回复后处理
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await willing_manager.after_generate_reply_handle(message.message_info.message_id)
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# 输出性能计时结果
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if do_reply:
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timing_str = " | ".join([f"{step}: {duration:.2f}秒" for step, duration in timing_results.items()])
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trigger_msg = message.processed_plain_text
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response_msg = " ".join(response_set) if response_set else "无回复"
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logger.info(f"触发消息: {trigger_msg[:20]}... | 推理消息: {response_msg[:20]}... | 性能计时: {timing_str}")
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else:
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# 不回复处理
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await willing_manager.not_reply_handle(message.message_info.message_id)
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# 意愿管理器：注销当前message信息
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willing_manager.delete(message.message_info.message_id)
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@staticmethod
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def _check_ban_words(text: str, chat, userinfo) -> bool:
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"""检查消息中是否包含过滤词"""
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for word in global_config.ban_words:
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if word in text:
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logger.info(
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f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
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)
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logger.info(f"[过滤词识别]消息中含有{word}，filtered")
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return True
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return False
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@staticmethod
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def _check_ban_regex(text: str, chat, userinfo) -> bool:
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"""检查消息是否匹配过滤正则表达式"""
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for pattern in global_config.ban_msgs_regex:
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if pattern.search(text):
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logger.info(
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f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
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)
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logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
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return True
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return False
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async def start_monitoring_interest(self, chat: ChatStream):
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"""为指定的 ChatStream 启动兴趣消息监控任务（如果尚未运行）。"""
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stream_id = chat.stream_id
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if stream_id not in self._interest_monitoring_tasks or self._interest_monitoring_tasks[stream_id].done():
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logger.info(f"为聊天流 {stream_id} 启动兴趣消息监控任务...")
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# 创建新任务
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task = asyncio.create_task(self._find_interested_message(chat))
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# 添加完成回调
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task.add_done_callback(lambda t: self._handle_task_completion(stream_id, t))
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self._interest_monitoring_tasks[stream_id] = task
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# else:
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# logger.debug(f"聊天流 {stream_id} 的兴趣消息监控任务已在运行。")
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def _handle_task_completion(self, stream_id: str, task: asyncio.Task):
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"""兴趣监控任务完成时的回调函数。"""
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try:
|
||
# 检查任务是否因异常而结束
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||
exception = task.exception()
|
||
if exception:
|
||
logger.error(f"聊天流 {stream_id} 的兴趣监控任务因异常结束: {exception}")
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logger.error(traceback.format_exc()) # 记录完整的 traceback
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else:
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||
logger.info(f"聊天流 {stream_id} 的兴趣监控任务正常结束。")
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||
except asyncio.CancelledError:
|
||
logger.info(f"聊天流 {stream_id} 的兴趣监控任务被取消。")
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||
except Exception as e:
|
||
logger.error(f"处理聊天流 {stream_id} 任务完成回调时出错: {e}")
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||
finally:
|
||
# 从字典中移除已完成或取消的任务
|
||
if stream_id in self._interest_monitoring_tasks:
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||
del self._interest_monitoring_tasks[stream_id]
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||
logger.debug(f"已从监控任务字典中移除 {stream_id}")
|
||
|
||
async def stop_monitoring_interest(self, stream_id: str):
|
||
"""停止指定聊天流的兴趣监控任务。"""
|
||
if stream_id in self._interest_monitoring_tasks:
|
||
task = self._interest_monitoring_tasks[stream_id]
|
||
if task and not task.done():
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||
task.cancel() # 尝试取消任务
|
||
logger.info(f"尝试取消聊天流 {stream_id} 的兴趣监控任务。")
|
||
try:
|
||
await task # 等待任务响应取消
|
||
except asyncio.CancelledError:
|
||
logger.info(f"聊天流 {stream_id} 的兴趣监控任务已成功取消。")
|
||
except Exception as e:
|
||
logger.error(f"等待聊天流 {stream_id} 监控任务取消时出现异常: {e}")
|
||
# 在回调函数 _handle_task_completion 中移除任务
|
||
# else:
|
||
# logger.debug(f"聊天流 {stream_id} 没有正在运行的兴趣监控任务可停止。")
|