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,cq_code_tool # 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 MessageSending, MessageRecv, MessageThinking, MessageSet from .message import MessageSending, MessageRecv, MessageThinking, MessageSet from .message_cq import ( MessageRecvCQ, MessageSendCQ, ) from .chat_stream import chat_manager MessageRecvCQ, MessageSendCQ, ) 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_txt from .utils_image import image_path_to_base64 from .utils_image import image_path_to_base64 from .willing_manager import willing_manager # 导入意愿管理器 from .message_base import UserInfo, GroupInfo, Seg from .message_base import UserInfo, GroupInfo, Seg 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""" self.bot = bot # 更新 bot 实例 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_cq=MessageRecvCQ( message_cq=MessageRecvCQ( message_id=event.message_id, user_id=event.user_id, raw_message=str(event.original_message), group_id=event.group_id, user_id=event.user_id, raw_message=str(event.original_message), group_id=event.group_id, reply_message=event.reply, platform='qq' ) message_json=message_cq.to_dict() # 进入maimbot message=MessageRecv(**message_json) await message.process() 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) # 消息过滤，涉及到config有待更新 if groupinfo: if groupinfo.group_id not in global_config.talk_allowed_groups: return else: if userinfo: if userinfo.user_id in []: pass else: return else: return if userinfo.user_id in global_config.ban_user_id: return # 过滤词 for word in global_config.ban_words: if word in message.processed_plain_text: logger.info(f"\033[1;32m[{groupinfo.group_name}]{userinfo.user_nickname}:\033[0m {message.processed_plain_text}") if word in message.processed_plain_text: logger.info(f"\033[1;32m[{groupinfo.group_name}]{userinfo.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(messageinfo.time)) 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 = 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,chat, topic[0] if topic else None) is_mentioned = is_mentioned_bot_in_txt(message.processed_plain_text) 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 ) current_willing = willing_manager.get_willing( chat_stream=chat ) print(f"\033[1;32m[{current_time}][{chat.group_info.group_name}]{chat.user_info.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 = None if random() < reply_probability: bot_user_info=UserInfo( user_id=global_config.BOT_QQ, user_nickname=global_config.BOT_NICKNAME, platform=messageinfo.platform ) bot_user_info=UserInfo( user_id=global_config.BOT_QQ, user_nickname=global_config.BOT_NICKNAME, platform=messageinfo.platform ) tinking_time_point = round(time.time(), 2) think_id = 'mt' + str(tinking_time_point) thinking_message = MessageThinking.from_chat_stream( chat_stream=chat, message_id=think_id, reply=message ) thinking_message = MessageThinking.from_chat_stream( chat_stream=chat, message_id=think_id, reply=message ) message_manager.add_message(thinking_message) willing_manager.change_reply_willing_sent( chat_stream=chat ) response,raw_content = await self.gpt.generate_response(message) if response: container = message_manager.get_container(chat.stream_id) container = message_manager.get_container(chat.stream_id) thinking_message = None # 找到message,删除 for msg in container.messages: if isinstance(msg, MessageThinking) and msg.message_info.message_id == think_id: 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: print(f"\033[1;33m[警告]\033[0m 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) 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) accu_typing_time += typing_time timepoint = tinking_time_point + accu_typing_time message_segment = Seg(type='text', data=msg) bot_message = MessageSending( message_segment = Seg(type='text', data=msg) bot_message = MessageSending( message_id=think_id, chat_stream=chat, message_segment=message_segment, reply=message, is_head=not mark_head, is_emoji=False ) chat_stream=chat, message_segment=message_segment, reply=message, is_head=not mark_head, is_emoji=False ) if not mark_head: 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 = image_path_to_base64(emoji_path) emoji_cq = image_path_to_base64(emoji_path) if random() < 0.5: bot_response_time = tinking_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, message_segment=message_segment, reply=message, is_head=False, is_emoji=True ) message_segment = Seg(type='emoji', data=emoji_cq) bot_message = MessageSending( message_id=think_id, chat_stream=chat, 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) print(f"为 '{response}' 获取到的情感标签为：{emotion}") valuedict={ 'happy': 0.5, 'angry': -1, 'sad': -0.5, 'surprised': 0.2, '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( platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo ) willing_manager.change_reply_willing_after_sent( platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo ) # 创建全局ChatBot实例 chat_bot = ChatBot()