293 lines
12 KiB
Python
293 lines
12 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,cq_code_tool # 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 MessageSending, MessageRecv, MessageThinking, MessageSet
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from .message import MessageSending, MessageRecv, MessageThinking, MessageSet
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from .message_cq import (
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MessageRecvCQ,
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MessageSendCQ,
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)
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from .chat_stream import chat_manager
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MessageRecvCQ,
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MessageSendCQ,
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)
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from .chat_stream import chat_manager
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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 .utils_image import image_path_to_base64
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from .utils_image import image_path_to_base64
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from .willing_manager import willing_manager # 导入意愿管理器
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from .message_base import UserInfo, GroupInfo, Seg
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from .message_base import UserInfo, GroupInfo, Seg
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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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self.bot = bot # 更新 bot 实例
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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_cq=MessageRecvCQ(
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message_cq=MessageRecvCQ(
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message_id=event.message_id,
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user_id=event.user_id,
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raw_message=str(event.original_message),
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group_id=event.group_id,
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user_id=event.user_id,
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raw_message=str(event.original_message),
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group_id=event.group_id,
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reply_message=event.reply,
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platform='qq'
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)
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message_json=message_cq.to_dict()
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# 进入maimbot
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message=MessageRecv(**message_json)
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await message.process()
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groupinfo=message.message_info.group_info
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userinfo=message.message_info.user_info
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messageinfo=message.message_info
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chat = await chat_manager.get_or_create_stream(platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo)
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# 消息过滤，涉及到config有待更新
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if groupinfo:
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if groupinfo.group_id not in global_config.talk_allowed_groups:
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return
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else:
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if userinfo:
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if userinfo.user_id in []:
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pass
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else:
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return
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else:
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return
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if userinfo.user_id in global_config.ban_user_id:
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return
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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.processed_plain_text:
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logger.info(f"\033[1;32m[{groupinfo.group_name}]{userinfo.user_nickname}:\033[0m {message.processed_plain_text}")
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if word in message.processed_plain_text:
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logger.info(f"\033[1;32m[{groupinfo.group_name}]{userinfo.user_nickname}:\033[0m {message.processed_plain_text}")
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logger.info(f"\033[1;32m[过滤词识别]\033[0m 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(messageinfo.time))
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current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.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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print(f"\033[1;32m[记忆激活]\033[0m 对{message.processed_plain_text}的激活度:---------------------------------------{interested_rate}\n")
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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,chat, 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 = await willing_manager.change_reply_willing_received(
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chat_stream=chat,
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topic=topic[0] if topic else None,
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is_mentioned_bot=is_mentioned,
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config=global_config,
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is_emoji=message.is_emoji,
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interested_rate=interested_rate
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)
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current_willing = willing_manager.get_willing(
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chat_stream=chat
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)
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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")
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response = None
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if random() < reply_probability:
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bot_user_info=UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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platform=messageinfo.platform
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)
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bot_user_info=UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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platform=messageinfo.platform
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)
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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 = MessageThinking.from_chat_stream(
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chat_stream=chat,
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message_id=think_id,
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reply=message
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)
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thinking_message = MessageThinking.from_chat_stream(
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chat_stream=chat,
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message_id=think_id,
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reply=message
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)
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message_manager.add_message(thinking_message)
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willing_manager.change_reply_willing_sent(
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chat_stream=chat
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)
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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(chat.stream_id)
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container = message_manager.get_container(chat.stream_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, MessageThinking) and msg.message_info.message_id == think_id:
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thinking_message = msg
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container.messages.remove(msg)
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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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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")
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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(chat, think_id)
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message_set = MessageSet(chat, think_id)
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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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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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message_segment = Seg(type='text', data=msg)
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bot_message = MessageSending(
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message_segment = Seg(type='text', data=msg)
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bot_message = MessageSending(
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message_id=think_id,
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chat_stream=chat,
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message_segment=message_segment,
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reply=message,
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is_head=not mark_head,
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is_emoji=False
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)
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chat_stream=chat,
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message_segment=message_segment,
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reply=message,
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is_head=not mark_head,
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is_emoji=False
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)
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if not mark_head:
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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 = image_path_to_base64(emoji_path)
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emoji_cq = image_path_to_base64(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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message_segment = Seg(type='emoji', data=emoji_cq)
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bot_message = MessageSending(
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message_id=think_id,
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chat_stream=chat,
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message_segment=message_segment,
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reply=message,
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is_head=False,
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is_emoji=True
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)
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message_segment = Seg(type='emoji', data=emoji_cq)
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bot_message = MessageSending(
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message_id=think_id,
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chat_stream=chat,
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message_segment=message_segment,
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reply=message,
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is_head=False,
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is_emoji=True
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)
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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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print(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, 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(
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platform=messageinfo.platform,
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user_info=userinfo,
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group_info=groupinfo
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)
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willing_manager.change_reply_willing_after_sent(
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platform=messageinfo.platform,
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user_info=userinfo,
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group_info=groupinfo
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)
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# 创建全局ChatBot实例
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chat_bot = ChatBot() |