142 lines
5.0 KiB
Python
142 lines
5.0 KiB
Python
import asyncio
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import time
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import os
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from loguru import logger
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from nonebot import get_driver, on_message, on_notice, require
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from nonebot.rule import to_me
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from nonebot.adapters.onebot.v11 import Bot, GroupMessageEvent, Message, MessageSegment, MessageEvent, NoticeEvent
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from nonebot.typing import T_State
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from ..moods.moods import MoodManager # 导入情绪管理器
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from ..schedule.schedule_generator import bot_schedule
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from ..utils.statistic import LLMStatistics
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from .bot import chat_bot
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from .config import global_config
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from .emoji_manager import emoji_manager
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from .relationship_manager import relationship_manager
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from .willing_manager import willing_manager
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from .chat_stream import chat_manager
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from ..memory_system.memory import hippocampus, memory_graph
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from .bot import ChatBot
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from .message_sender import message_manager, message_sender
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# 创建LLM统计实例
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llm_stats = LLMStatistics("llm_statistics.txt")
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# 添加标志变量
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_message_manager_started = False
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# 获取驱动器
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driver = get_driver()
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config = driver.config
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# 初始化表情管理器
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emoji_manager.initialize()
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logger.debug(f"正在唤醒{global_config.BOT_NICKNAME}......")
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# 创建机器人实例
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chat_bot = ChatBot()
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# 注册消息处理器
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msg_in = on_message(priority=5)
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# 注册和bot相关的通知处理器
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notice_matcher = on_notice(priority=1)
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# 创建定时任务
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scheduler = require("nonebot_plugin_apscheduler").scheduler
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@driver.on_startup
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async def start_background_tasks():
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"""启动后台任务"""
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# 启动LLM统计
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llm_stats.start()
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logger.success("LLM统计功能启动成功")
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# 初始化并启动情绪管理器
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mood_manager = MoodManager.get_instance()
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mood_manager.start_mood_update(update_interval=global_config.mood_update_interval)
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logger.success("情绪管理器启动成功")
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# 只启动表情包管理任务
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asyncio.create_task(emoji_manager.start_periodic_check(interval_MINS=global_config.EMOJI_CHECK_INTERVAL))
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await bot_schedule.initialize()
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bot_schedule.print_schedule()
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@driver.on_startup
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async def init_relationships():
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"""在 NoneBot2 启动时初始化关系管理器"""
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logger.debug("正在加载用户关系数据...")
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await relationship_manager.load_all_relationships()
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asyncio.create_task(relationship_manager._start_relationship_manager())
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@driver.on_bot_connect
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async def _(bot: Bot):
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"""Bot连接成功时的处理"""
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global _message_manager_started
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logger.debug(f"-----------{global_config.BOT_NICKNAME}成功连接！-----------")
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await willing_manager.ensure_started()
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message_sender.set_bot(bot)
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logger.success("-----------消息发送器已启动！-----------")
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if not _message_manager_started:
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asyncio.create_task(message_manager.start_processor())
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_message_manager_started = True
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logger.success("-----------消息处理器已启动！-----------")
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asyncio.create_task(emoji_manager._periodic_scan(interval_MINS=global_config.EMOJI_REGISTER_INTERVAL))
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logger.success("-----------开始偷表情包！-----------")
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asyncio.create_task(chat_manager._initialize())
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asyncio.create_task(chat_manager._auto_save_task())
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@msg_in.handle()
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async def _(bot: Bot, event: MessageEvent, state: T_State):
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await chat_bot.handle_message(event, bot)
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@notice_matcher.handle()
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async def _(bot: Bot, event: NoticeEvent, state: T_State):
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logger.debug(f"收到通知：{event}")
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await chat_bot.handle_notice(event, bot)
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# 添加build_memory定时任务
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@scheduler.scheduled_job("interval", seconds=global_config.build_memory_interval, id="build_memory")
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async def build_memory_task():
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"""每build_memory_interval秒执行一次记忆构建"""
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logger.debug("[记忆构建]------------------------------------开始构建记忆--------------------------------------")
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start_time = time.time()
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await hippocampus.operation_build_memory(chat_size=20)
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end_time = time.time()
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logger.success(
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f"[记忆构建]--------------------------记忆构建完成：耗时: {end_time - start_time:.2f} "
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"秒-------------------------------------------"
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)
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@scheduler.scheduled_job("interval", seconds=global_config.forget_memory_interval, id="forget_memory")
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async def forget_memory_task():
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"""每30秒执行一次记忆构建"""
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print("\033[1;32m[记忆遗忘]\033[0m 开始遗忘记忆...")
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await hippocampus.operation_forget_topic(percentage=global_config.memory_forget_percentage)
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print("\033[1;32m[记忆遗忘]\033[0m 记忆遗忘完成")
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@scheduler.scheduled_job("interval", seconds=global_config.build_memory_interval + 10, id="merge_memory")
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async def merge_memory_task():
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"""每30秒执行一次记忆构建"""
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# print("\033[1;32m[记忆整合]\033[0m 开始整合")
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# await hippocampus.operation_merge_memory(percentage=0.1)
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# print("\033[1;32m[记忆整合]\033[0m 记忆整合完成")
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@scheduler.scheduled_job("interval", seconds=30, id="print_mood")
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async def print_mood_task():
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"""每30秒打印一次情绪状态"""
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mood_manager = MoodManager.get_instance()
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mood_manager.print_mood_status()
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