import re import time from random import random from nonebot.adapters.onebot.v11 import ( Bot, GroupMessageEvent, MessageEvent, PrivateMessageEvent, NoticeEvent, PokeNotifyEvent, GroupRecallNoticeEvent, FriendRecallNoticeEvent, ) from ..memory_system.memory import hippocampus from ..moods.moods import MoodManager # 导入情绪管理器 from .config import global_config from .emoji_manager import emoji_manager # 导入表情包管理器 from .llm_generator import ResponseGenerator from .message import MessageSending, MessageRecv, MessageThinking, MessageSet from .message_cq import ( MessageRecvCQ, ) from .chat_stream import chat_manager from .message_sender import message_manager # 导入新的消息管理器 from .relationship_manager import relationship_manager from .storage import MessageStorage from .utils import calculate_typing_time, is_mentioned_bot_in_message from .utils_image import image_path_to_base64 from .utils_user import get_user_nickname, get_user_cardname, get_groupname from .willing_manager import willing_manager # 导入意愿管理器 from .message_base import UserInfo, GroupInfo, Seg from ..utils.logger_config import setup_logger, LogModule # 配置日志 logger = setup_logger(LogModule.CHAT) class ChatBot: def __init__(self): self.storage = MessageStorage() self.gpt = ResponseGenerator() self.bot = None # bot 实例引用 self._started = False self.mood_manager = MoodManager.get_instance() # 获取情绪管理器单例 self.mood_manager.start_mood_update() # 启动情绪更新 self.emoji_chance = 0.2 # 发送表情包的基础概率 # self.message_streams = MessageStreamContainer() async def _ensure_started(self): """确保所有任务已启动""" if not self._started: self._started = True async def handle_notice(self, event: NoticeEvent, bot: Bot) -> None: """处理收到的通知""" # 戳一戳通知 if isinstance(event, PokeNotifyEvent): # 不处理其他人的戳戳 if not event.is_tome(): return # 用户屏蔽,不区分私聊/群聊 if event.user_id in global_config.ban_user_id: return reply_poke_probability = 1.0 # 回复戳一戳的概率，如果要改可以在这里改，暂不提取到配置文件 if random() < reply_poke_probability: raw_message = "[戳了戳]你" # 默认类型 if info := event.raw_info: poke_type = info[2].get("txt", "戳了戳") # 戳戳类型，例如“拍一拍”、“揉一揉”、“捏一捏” custom_poke_message = info[4].get("txt", "") # 自定义戳戳消息，若不存在会为空字符串 raw_message = f"[{poke_type}]你{custom_poke_message}" raw_message += "（这是一个类似摸摸头的友善行为，而不是恶意行为，请不要作出攻击发言）" await self.directly_reply(raw_message, event.user_id, event.group_id) if isinstance(event, GroupRecallNoticeEvent) or isinstance(event, FriendRecallNoticeEvent): user_info = UserInfo( user_id=event.user_id, user_nickname=get_user_nickname(event.user_id) or None, user_cardname=get_user_cardname(event.user_id) or None, platform="qq", ) group_info = GroupInfo(group_id=event.group_id, group_name=None, platform="qq") chat = await chat_manager.get_or_create_stream( platform=user_info.platform, user_info=user_info, group_info=group_info ) await self.storage.store_recalled_message(event.message_id, time.time(), chat) async def handle_message(self, event: MessageEvent, bot: Bot) -> None: """处理收到的消息""" self.bot = bot # 更新 bot 实例 # 用户屏蔽,不区分私聊/群聊 if event.user_id in global_config.ban_user_id: return if ( event.reply and hasattr(event.reply, "sender") and hasattr(event.reply.sender, "user_id") and event.reply.sender.user_id in global_config.ban_user_id ): logger.debug(f"跳过处理回复来自被ban用户 {event.reply.sender.user_id} 的消息") return # 处理私聊消息 if isinstance(event, PrivateMessageEvent): if not global_config.enable_friend_chat: # 私聊过滤 return else: try: user_info = UserInfo( user_id=event.user_id, user_nickname=(await bot.get_stranger_info(user_id=event.user_id, no_cache=True))["nickname"], user_cardname=None, platform="qq", ) except Exception as e: logger.error(f"获取陌生人信息失败: {e}") return logger.debug(user_info) # group_info = GroupInfo(group_id=0, group_name="私聊", platform="qq") group_info = None # 处理群聊消息 else: # 白名单设定由nontbot侧完成 if event.group_id: if event.group_id not in global_config.talk_allowed_groups: return user_info = UserInfo( user_id=event.user_id, user_nickname=event.sender.nickname, user_cardname=event.sender.card or None, platform="qq", ) group_info = GroupInfo(group_id=event.group_id, group_name=None, platform="qq") # group_info = await bot.get_group_info(group_id=event.group_id) # sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True) message_cq = MessageRecvCQ( message_id=event.message_id, user_info=user_info, raw_message=str(event.original_message), group_info=group_info, reply_message=event.reply, platform="qq", ) message_json = message_cq.to_dict() # 进入maimbot message = MessageRecv(message_json) groupinfo = message.message_info.group_info userinfo = message.message_info.user_info messageinfo = message.message_info # 消息过滤，涉及到config有待更新 chat = await chat_manager.get_or_create_stream( platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo ) message.update_chat_stream(chat) await relationship_manager.update_relationship( chat_stream=chat, ) await relationship_manager.update_relationship_value(chat_stream=chat, relationship_value=0.5) await message.process() # 过滤词 for word in global_config.ban_words: if word in message.processed_plain_text: logger.info( f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{message.processed_plain_text}" ) logger.info(f"[过滤词识别]消息中含有{word}，filtered") return # 正则表达式过滤 for pattern in global_config.ban_msgs_regex: if re.search(pattern, message.raw_message): logger.info( f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{message.raw_message}" ) logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered") return current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time)) # topic=await topic_identifier.identify_topic_llm(message.processed_plain_text) topic = "" interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100 logger.debug(f"对{message.processed_plain_text}的激活度:{interested_rate}") # logger.info(f"\033[1;32m[主题识别]\033[0m 使用{global_config.topic_extract}主题: {topic}") await self.storage.store_message(message, chat, topic[0] if topic else None) is_mentioned = is_mentioned_bot_in_message(message) reply_probability = await willing_manager.change_reply_willing_received( chat_stream=chat, topic=topic[0] if topic else None, is_mentioned_bot=is_mentioned, config=global_config, is_emoji=message.is_emoji, interested_rate=interested_rate, sender_id=str(message.message_info.user_info.user_id), ) current_willing = willing_manager.get_willing(chat_stream=chat) logger.info( f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]{chat.user_info.user_nickname}:" f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]" ) response = None if random() < reply_probability: bot_user_info = UserInfo( user_id=global_config.BOT_QQ, user_nickname=global_config.BOT_NICKNAME, platform=messageinfo.platform, ) thinking_time_point = round(time.time(), 2) think_id = "mt" + str(thinking_time_point) thinking_message = MessageThinking( message_id=think_id, chat_stream=chat, bot_user_info=bot_user_info, reply=message, ) message_manager.add_message(thinking_message) willing_manager.change_reply_willing_sent(chat) response, raw_content = await self.gpt.generate_response(message) else: # 决定不回复时，也更新回复意愿 willing_manager.change_reply_willing_not_sent(chat) # print(f"response: {response}") if response: # print(f"有response: {response}") container = message_manager.get_container(chat.stream_id) thinking_message = None # 找到message,删除 # print(f"开始找思考消息") for msg in container.messages: if isinstance(msg, MessageThinking) and msg.message_info.message_id == think_id: # print(f"找到思考消息: {msg}") thinking_message = msg container.messages.remove(msg) break # 如果找不到思考消息，直接返回 if not thinking_message: logger.warning("未找到对应的思考消息，可能已超时被移除") return # 记录开始思考的时间，避免从思考到回复的时间太久 thinking_start_time = thinking_message.thinking_start_time message_set = MessageSet(chat, think_id) # 计算打字时间，1是为了模拟打字，2是避免多条回复乱序 accu_typing_time = 0 mark_head = False for msg in response: # print(f"\033[1;32m[回复内容]\033[0m {msg}") # 通过时间改变时间戳 typing_time = calculate_typing_time(msg) logger.debug(f"typing_time: {typing_time}") accu_typing_time += typing_time timepoint = thinking_time_point + accu_typing_time message_segment = Seg(type="text", data=msg) # logger.debug(f"message_segment: {message_segment}") bot_message = MessageSending( message_id=think_id, chat_stream=chat, bot_user_info=bot_user_info, sender_info=userinfo, message_segment=message_segment, reply=message, is_head=not mark_head, is_emoji=False, ) logger.debug(f"bot_message: {bot_message}") if not mark_head: mark_head = True logger.debug(f"添加消息到message_set: {bot_message}") message_set.add_message(bot_message) # message_set 可以直接加入 message_manager # print(f"\033[1;32m[回复]\033[0m 将回复载入发送容器") logger.debug("添加message_set到message_manager") message_manager.add_message(message_set) bot_response_time = thinking_time_point if random() < global_config.emoji_chance: emoji_raw = await emoji_manager.get_emoji_for_text(response) # 检查是否 <没有找到> emoji if emoji_raw != None: emoji_path, description = emoji_raw emoji_cq = image_path_to_base64(emoji_path) if random() < 0.5: bot_response_time = thinking_time_point - 1 else: bot_response_time = bot_response_time + 1 message_segment = Seg(type="emoji", data=emoji_cq) bot_message = MessageSending( message_id=think_id, chat_stream=chat, bot_user_info=bot_user_info, sender_info=userinfo, message_segment=message_segment, reply=message, is_head=False, is_emoji=True, ) message_manager.add_message(bot_message) emotion = await self.gpt._get_emotion_tags(raw_content) logger.debug(f"为 '{response}' 获取到的情感标签为：{emotion}") valuedict = { "happy": 0.5, "angry": -1, "sad": -0.5, "surprised": 0.2, "disgusted": -1.5, "fearful": -0.7, "neutral": 0.1, } await relationship_manager.update_relationship_value( chat_stream=chat, relationship_value=valuedict[emotion[0]] ) # 使用情绪管理器更新情绪 self.mood_manager.update_mood_from_emotion(emotion[0], global_config.mood_intensity_factor) # willing_manager.change_reply_willing_after_sent( # chat_stream=chat # ) async def directly_reply(self, raw_message: str, user_id: int, group_id: int): """ 直接回复发来的消息，不经过意愿管理器 """ # 构造用户信息和群组信息 user_info = UserInfo( user_id=user_id, user_nickname=get_user_nickname(user_id) or None, user_cardname=get_user_cardname(user_id) or None, platform="qq", ) group_info = GroupInfo(group_id=group_id, group_name=None, platform="qq") message_cq = MessageRecvCQ( message_id=None, user_info=user_info, raw_message=raw_message, group_info=group_info, reply_message=None, platform="qq", ) message_json = message_cq.to_dict() message = MessageRecv(message_json) groupinfo = message.message_info.group_info userinfo = message.message_info.user_info messageinfo = message.message_info chat = await chat_manager.get_or_create_stream( platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo ) message.update_chat_stream(chat) await message.process() bot_user_info = UserInfo( user_id=global_config.BOT_QQ, user_nickname=global_config.BOT_NICKNAME, platform=messageinfo.platform, ) current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time)) logger.info( f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]{chat.user_info.user_nickname}:" f"{message.processed_plain_text}" ) # 使用大模型生成回复 response, raw_content = await self.gpt.generate_response(message) if response: for msg in response: message_segment = Seg(type="text", data=msg) bot_message = MessageSending( message_id=None, chat_stream=chat, bot_user_info=bot_user_info, sender_info=userinfo, message_segment=message_segment, reply=None, is_head=False, is_emoji=False, ) message_manager.add_message(bot_message) # 创建全局ChatBot实例 chat_bot = ChatBot()