mirror of https://github.com/Mai-with-u/MaiBot.git
229 lines
9.6 KiB
Python
229 lines
9.6 KiB
Python
import time
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from random import random
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from loguru import logger
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from nonebot.adapters.onebot.v11 import Bot, GroupMessageEvent
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from ..memory_system.memory import hippocampus
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from ..moods.moods import MoodManager # 导入情绪管理器
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from .config import global_config
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from .cq_code import CQCode # 导入CQCode模块
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from .emoji_manager import emoji_manager # 导入表情包管理器
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from .llm_generator import ResponseGenerator
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from .message import (
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Message,
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Message_Sending,
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Message_Thinking, # 导入 Message_Thinking 类
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MessageSet,
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)
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from .message_sender import message_manager # 导入新的消息管理器
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from .relationship_manager import relationship_manager
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from .storage import MessageStorage
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from .utils import calculate_typing_time, is_mentioned_bot_in_txt
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from .willing_manager import willing_manager # 导入意愿管理器
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class ChatBot:
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def __init__(self):
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self.storage = MessageStorage()
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self.gpt = ResponseGenerator()
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self.bot = None # bot 实例引用
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self._started = False
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self.mood_manager = MoodManager.get_instance() # 获取情绪管理器单例
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self.mood_manager.start_mood_update() # 启动情绪更新
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self.emoji_chance = 0.2 # 发送表情包的基础概率
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# self.message_streams = MessageStreamContainer()
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async def _ensure_started(self):
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"""确保所有任务已启动"""
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if not self._started:
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self._started = True
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async def handle_message(self, event: GroupMessageEvent, bot: Bot) -> None:
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"""处理收到的群消息"""
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if event.group_id not in global_config.talk_allowed_groups:
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return
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self.bot = bot # 更新 bot 实例
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if event.user_id in global_config.ban_user_id:
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return
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group_info = await bot.get_group_info(group_id=event.group_id)
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sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True)
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await relationship_manager.update_relationship(user_id=event.user_id, data=sender_info)
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await relationship_manager.update_relationship_value(user_id=event.user_id, relationship_value=0.5)
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message = Message(
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group_id=event.group_id,
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user_id=event.user_id,
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message_id=event.message_id,
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user_cardname=sender_info['card'],
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raw_message=str(event.original_message),
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plain_text=event.get_plaintext(),
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reply_message=event.reply,
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)
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await message.initialize()
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# 过滤词
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for word in global_config.ban_words:
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if word in message.detailed_plain_text:
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logger.info(
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f"[{message.group_name}]{message.user_nickname}:{message.processed_plain_text}")
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logger.info(f"[过滤词识别]消息中含有{word}，filtered")
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return
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current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(message.time))
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# topic=await topic_identifier.identify_topic_llm(message.processed_plain_text)
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topic = ''
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interested_rate = 0
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interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100
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logger.debug(f"对{message.processed_plain_text}"
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f"的激活度:{interested_rate}")
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# logger.info(f"\033[1;32m[主题识别]\033[0m 使用{global_config.topic_extract}主题: {topic}")
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await self.storage.store_message(message, topic[0] if topic else None)
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is_mentioned = is_mentioned_bot_in_txt(message.processed_plain_text)
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reply_probability = willing_manager.change_reply_willing_received(
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event.group_id,
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topic[0] if topic else None,
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is_mentioned,
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global_config,
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event.user_id,
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message.is_emoji,
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interested_rate
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)
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current_willing = willing_manager.get_willing(event.group_id)
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logger.info(
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f"[{current_time}][{message.group_name}]{message.user_nickname}:"
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f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]")
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response = ""
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if random() < reply_probability:
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tinking_time_point = round(time.time(), 2)
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think_id = 'mt' + str(tinking_time_point)
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thinking_message = Message_Thinking(message=message, message_id=think_id)
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message_manager.add_message(thinking_message)
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willing_manager.change_reply_willing_sent(thinking_message.group_id)
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response, raw_content = await self.gpt.generate_response(message)
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if response:
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container = message_manager.get_container(event.group_id)
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thinking_message = None
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# 找到message,删除
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for msg in container.messages:
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if isinstance(msg, Message_Thinking) and msg.message_id == think_id:
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thinking_message = msg
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container.messages.remove(msg)
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# 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")
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break
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# 如果找不到思考消息，直接返回
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if not thinking_message:
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logger.warning(f"未找到对应的思考消息，可能已超时被移除")
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return
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# 记录开始思考的时间，避免从思考到回复的时间太久
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thinking_start_time = thinking_message.thinking_start_time
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message_set = MessageSet(event.group_id, global_config.BOT_QQ,
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think_id) # 发送消息的id和产生发送消息的message_thinking是一致的
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# 计算打字时间，1是为了模拟打字，2是避免多条回复乱序
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accu_typing_time = 0
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# print(f"\033[1;32m[开始回复]\033[0m 开始将回复1载入发送容器")
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mark_head = False
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for msg in response:
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# print(f"\033[1;32m[回复内容]\033[0m {msg}")
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# 通过时间改变时间戳
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typing_time = calculate_typing_time(msg)
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accu_typing_time += typing_time
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timepoint = tinking_time_point + accu_typing_time
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bot_message = Message_Sending(
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group_id=event.group_id,
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user_id=global_config.BOT_QQ,
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message_id=think_id,
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raw_message=msg,
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plain_text=msg,
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processed_plain_text=msg,
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user_nickname=global_config.BOT_NICKNAME,
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group_name=message.group_name,
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time=timepoint, # 记录了回复生成的时间
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thinking_start_time=thinking_start_time, # 记录了思考开始的时间
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reply_message_id=message.message_id
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)
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await bot_message.initialize()
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if not mark_head:
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bot_message.is_head = True
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mark_head = True
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message_set.add_message(bot_message)
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# message_set 可以直接加入 message_manager
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# print(f"\033[1;32m[回复]\033[0m 将回复载入发送容器")
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message_manager.add_message(message_set)
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bot_response_time = tinking_time_point
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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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# 检查是否 <没有找到> emoji
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if emoji_raw != None:
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emoji_path, discription = emoji_raw
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emoji_cq = CQCode.create_emoji_cq(emoji_path)
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if random() < 0.5:
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bot_response_time = tinking_time_point - 1
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else:
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bot_response_time = bot_response_time + 1
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bot_message = Message_Sending(
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group_id=event.group_id,
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user_id=global_config.BOT_QQ,
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message_id=0,
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raw_message=emoji_cq,
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plain_text=emoji_cq,
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processed_plain_text=emoji_cq,
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detailed_plain_text=discription,
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user_nickname=global_config.BOT_NICKNAME,
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group_name=message.group_name,
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time=bot_response_time,
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is_emoji=True,
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translate_cq=False,
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thinking_start_time=thinking_start_time,
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# reply_message_id=message.message_id
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)
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await bot_message.initialize()
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message_manager.add_message(bot_message)
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emotion = await self.gpt._get_emotion_tags(raw_content)
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logger.debug(f"为 '{response}' 获取到的情感标签为：{emotion}")
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valuedict = {
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'happy': 0.5,
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'angry': -1,
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'sad': -0.5,
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'surprised': 0.2,
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'disgusted': -1.5,
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'fearful': -0.7,
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'neutral': 0.1
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}
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await relationship_manager.update_relationship_value(message.user_id,
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relationship_value=valuedict[emotion[0]])
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# 使用情绪管理器更新情绪
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self.mood_manager.update_mood_from_emotion(emotion[0], global_config.mood_intensity_factor)
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# willing_manager.change_reply_willing_after_sent(event.group_id)
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# 创建全局ChatBot实例
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chat_bot = ChatBot()
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