from nonebot.adapters.onebot.v11 import GroupMessageEvent, Message as EventMessage, Bot from .message import Message, MessageSet, Message_Sending from .config import BotConfig, global_config from .storage import MessageStorage from .llm_generator import ResponseGenerator # from .message_stream import MessageStream, MessageStreamContainer from .topic_identifier import topic_identifier from random import random, choice from .emoji_manager import emoji_manager # 导入表情包管理器 import time import os from .cq_code import CQCode # 导入CQCode模块 from .message_sender import message_manager # 导入新的消息管理器 from .message import Message_Thinking # 导入 Message_Thinking 类 from .relationship_manager import relationship_manager from .willing_manager import willing_manager # 导入意愿管理器 from .utils import is_mentioned_bot_in_txt, calculate_typing_time from ..memory_system.memory import memory_graph,hippocampus from loguru import logger class ChatBot: def __init__(self): self.storage = MessageStorage() self.gpt = ResponseGenerator() self.bot = None # bot 实例引用 self._started = False 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"\033[1;32m[{message.group_name}]{message.user_nickname}:\033[0m {message.processed_plain_text}") logger.info(f"\033[1;32m[过滤词识别]\033[0m 消息中含有{word}，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 print(f"\033[1;32m[记忆激活]\033[0m 对{message.processed_plain_text}的激活度:---------------------------------------{interested_rate}\n") # 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) print(f"\033[1;32m[{current_time}][{message.group_name}]{message.user_nickname}:\033[0m {message.processed_plain_text}\033[1;36m[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]\033[0m") 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 is None: # thinking_message.interupt=True if response: # print(f"\033[1;32m[思考结束]\033[0m 思考结束，已得到回复，开始回复") # 找到并删除对应的thinking消息 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 #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 ) 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_path = await emoji_manager.get_emoji_for_text(response) if emoji_path: 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, 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 ) message_manager.add_message(bot_message) emotion = await self.gpt._get_emotion_tags(raw_content) print(f"为 '{response}' 获取到的情感标签为：{emotion}") valuedict={ 'happy':0.5,'angry':-1,'sad':-0.5,'surprised':0.5,'disgusted':-1.5,'fearful':-0.25,'neutral':0.25 } await relationship_manager.update_relationship_value(message.user_id, relationship_value=valuedict[emotion[0]]) # willing_manager.change_reply_willing_after_sent(event.group_id) # 创建全局ChatBot实例 chat_bot = ChatBot()