import re import time from random import random from loguru import logger from nonebot.adapters.onebot.v11 import Bot, GroupMessageEvent from ..memory_system.memory import hippocampus from ..moods.moods import MoodManager # 导入情绪管理器 from .config import global_config from .cq_code import CQCode # 导入CQCode模块 from .emoji_manager import emoji_manager # 导入表情包管理器 from .llm_generator import ResponseGenerator from .message import ( Message, Message_Sending, Message_Thinking, # 导入 Message_Thinking 类 MessageSet, ) 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_txt from .willing_manager import willing_manager # 导入意愿管理器 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_message(self, event: GroupMessageEvent, bot: Bot) -> None: """处理收到的群消息""" if event.group_id not in global_config.talk_allowed_groups: return self.bot = bot # 更新 bot 实例 if event.user_id in global_config.ban_user_id: return 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) await relationship_manager.update_relationship(user_id=event.user_id, data=sender_info) await relationship_manager.update_relationship_value(user_id=event.user_id, relationship_value=0.5) message = Message( group_id=event.group_id, user_id=event.user_id, message_id=event.message_id, user_cardname=sender_info['card'], raw_message=str(event.original_message), plain_text=event.get_plaintext(), reply_message=event.reply, ) await message.initialize() # 过滤词 for word in global_config.ban_words: if word in message.detailed_plain_text: logger.info( f"[{message.group_name}]{message.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"[{message.group_name}]{message.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(message.time)) # topic=await topic_identifier.identify_topic_llm(message.processed_plain_text) topic = '' interested_rate = 0 interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100 logger.debug(f"对{message.processed_plain_text}" f"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, topic[0] if topic else None) is_mentioned = is_mentioned_bot_in_txt(message.processed_plain_text) reply_probability = willing_manager.change_reply_willing_received( event.group_id, topic[0] if topic else None, is_mentioned, global_config, event.user_id, message.is_emoji, interested_rate ) current_willing = willing_manager.get_willing(event.group_id) logger.info( f"[{current_time}][{message.group_name}]{message.user_nickname}:" f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]") response = "" if random() < reply_probability: tinking_time_point = round(time.time(), 2) think_id = 'mt' + str(tinking_time_point) thinking_message = Message_Thinking(message=message, message_id=think_id) message_manager.add_message(thinking_message) willing_manager.change_reply_willing_sent(thinking_message.group_id) response, raw_content = await self.gpt.generate_response(message) if response: container = message_manager.get_container(event.group_id) thinking_message = None # 找到message,删除 for msg in container.messages: if isinstance(msg, Message_Thinking) and msg.message_id == think_id: thinking_message = msg container.messages.remove(msg) # print(f"\033[1;32m[思考消息删除]\033[0m 已找到思考消息对象，开始删除") break # 如果找不到思考消息，直接返回 if not thinking_message: logger.warning(f"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(event.group_id, global_config.BOT_QQ, think_id) # 发送消息的id和产生发送消息的message_thinking是一致的 # 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 # print(f"\033[1;32m[开始回复]\033[0m 开始将回复1载入发送容器") 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) accu_typing_time += typing_time timepoint = tinking_time_point + accu_typing_time bot_message = Message_Sending( group_id=event.group_id, user_id=global_config.BOT_QQ, message_id=think_id, raw_message=msg, plain_text=msg, processed_plain_text=msg, user_nickname=global_config.BOT_NICKNAME, group_name=message.group_name, time=timepoint, # 记录了回复生成的时间 thinking_start_time=thinking_start_time, # 记录了思考开始的时间 reply_message_id=message.message_id ) await bot_message.initialize() if not mark_head: bot_message.is_head = True mark_head = True 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") message_manager.add_message(message_set) bot_response_time = tinking_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, discription = emoji_raw emoji_cq = CQCode.create_emoji_cq(emoji_path) if random() < 0.5: bot_response_time = tinking_time_point - 1 else: bot_response_time = bot_response_time + 1 bot_message = Message_Sending( group_id=event.group_id, user_id=global_config.BOT_QQ, message_id=0, raw_message=emoji_cq, plain_text=emoji_cq, processed_plain_text=emoji_cq, detailed_plain_text=discription, user_nickname=global_config.BOT_NICKNAME, group_name=message.group_name, time=bot_response_time, is_emoji=True, translate_cq=False, thinking_start_time=thinking_start_time, # reply_message_id=message.message_id ) await bot_message.initialize() 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(message.user_id, 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(event.group_id) # 创建全局ChatBot实例 chat_bot = ChatBot()