Merge remote-tracking branch 'upstream/debug' into tc_refractor

This commit is contained in:
Rikki
2025-03-11 06:01:54 +08:00
47 changed files with 3696 additions and 1392 deletions

View File

@@ -1,12 +1,9 @@
import asyncio
import os
import random
import time
from loguru import logger
from nonebot import get_driver, on_command, on_message, require
from nonebot import get_driver, on_message, require
from nonebot.adapters.onebot.v11 import Bot, GroupMessageEvent, Message, MessageSegment
from nonebot.rule import to_me
from nonebot.typing import T_State
from ...common.database import Database
@@ -19,6 +16,10 @@ from .emoji_manager import emoji_manager
from .relationship_manager import relationship_manager
from .willing_manager import willing_manager
from .chat_stream import chat_manager
from ..memory_system.memory import hippocampus, memory_graph
from .bot import ChatBot
from .message_sender import message_manager, message_sender
# 创建LLM统计实例
llm_stats = LLMStatistics("llm_statistics.txt")
@@ -31,27 +32,20 @@ driver = get_driver()
config = driver.config
Database.initialize(
host= config.MONGODB_HOST,
port= int(config.MONGODB_PORT),
db_name= config.DATABASE_NAME,
username= config.MONGODB_USERNAME,
password= config.MONGODB_PASSWORD,
auth_source= config.MONGODB_AUTH_SOURCE
host=config.MONGODB_HOST,
port=int(config.MONGODB_PORT),
db_name=config.DATABASE_NAME,
username=config.MONGODB_USERNAME,
password=config.MONGODB_PASSWORD,
auth_source=config.MONGODB_AUTH_SOURCE
)
print("\033[1;32m[初始化数据库完成]\033[0m")
logger.success("初始化数据库成功")
# 导入其他模块
from ..memory_system.memory import hippocampus, memory_graph
from .bot import ChatBot
# from .message_send_control import message_sender
from .message_sender import message_manager, message_sender
# 初始化表情管理器
emoji_manager.initialize()
print(f"\033[1;32m正在唤醒{global_config.BOT_NICKNAME}......\033[0m")
logger.debug(f"正在唤醒{global_config.BOT_NICKNAME}......")
# 创建机器人实例
chat_bot = ChatBot()
# 注册群消息处理器
@@ -60,71 +54,80 @@ group_msg = on_message(priority=5)
scheduler = require("nonebot_plugin_apscheduler").scheduler
@driver.on_startup
async def start_background_tasks():
"""启动后台任务"""
# 启动LLM统计
llm_stats.start()
print("\033[1;32m[初始化]\033[0m LLM统计功能启动")
logger.success("LLM统计功能启动成功")
# 初始化并启动情绪管理器
mood_manager = MoodManager.get_instance()
mood_manager.start_mood_update(update_interval=global_config.mood_update_interval)
print("\033[1;32m[初始化]\033[0m 情绪管理器启动")
logger.success("情绪管理器启动成功")
# 只启动表情包管理任务
asyncio.create_task(emoji_manager.start_periodic_check(interval_MINS=global_config.EMOJI_CHECK_INTERVAL))
await bot_schedule.initialize()
bot_schedule.print_schedule()
@driver.on_startup
async def init_relationships():
"""在 NoneBot2 启动时初始化关系管理器"""
print("\033[1;32m[初始化]\033[0m 正在加载用户关系数据...")
logger.debug("正在加载用户关系数据...")
await relationship_manager.load_all_relationships()
asyncio.create_task(relationship_manager._start_relationship_manager())
@driver.on_bot_connect
async def _(bot: Bot):
"""Bot连接成功时的处理"""
global _message_manager_started
print(f"\033[1;38;5;208m-----------{global_config.BOT_NICKNAME}成功连接!-----------\033[0m")
logger.debug(f"-----------{global_config.BOT_NICKNAME}成功连接!-----------")
await willing_manager.ensure_started()
message_sender.set_bot(bot)
print("\033[1;38;5;208m-----------消息发送器已启动!-----------\033[0m")
logger.success("-----------消息发送器已启动!-----------")
if not _message_manager_started:
asyncio.create_task(message_manager.start_processor())
_message_manager_started = True
print("\033[1;38;5;208m-----------消息处理器已启动!-----------\033[0m")
logger.success("-----------消息处理器已启动!-----------")
asyncio.create_task(emoji_manager._periodic_scan(interval_MINS=global_config.EMOJI_REGISTER_INTERVAL))
print("\033[1;38;5;208m-----------开始偷表情包!-----------\033[0m")
logger.success("-----------开始偷表情包!-----------")
asyncio.create_task(chat_manager._initialize())
asyncio.create_task(chat_manager._auto_save_task())
@group_msg.handle()
async def _(bot: Bot, event: GroupMessageEvent, state: T_State):
await chat_bot.handle_message(event, bot)
# 添加build_memory定时任务
@scheduler.scheduled_job("interval", seconds=global_config.build_memory_interval, id="build_memory")
async def build_memory_task():
"""每build_memory_interval秒执行一次记忆构建"""
print("\033[1;32m[记忆构建]\033[0m -------------------------------------------开始构建记忆-------------------------------------------")
logger.debug(
"[记忆构建]"
"------------------------------------开始构建记忆--------------------------------------")
start_time = time.time()
await hippocampus.operation_build_memory(chat_size=20)
end_time = time.time()
print(f"\033[1;32m[记忆构建]\033[0m -------------------------------------------记忆构建完成:耗时: {end_time - start_time:.2f} 秒-------------------------------------------")
@scheduler.scheduled_job("interval", seconds=global_config.forget_memory_interval, id="forget_memory")
logger.success(
f"[记忆构建]--------------------------记忆构建完成:耗时: {end_time - start_time:.2f} "
"秒-------------------------------------------")
@scheduler.scheduled_job("interval", seconds=global_config.forget_memory_interval, id="forget_memory")
async def forget_memory_task():
"""每30秒执行一次记忆构建"""
# print("\033[1;32m[记忆遗忘]\033[0m 开始遗忘记忆...")
# await hippocampus.operation_forget_topic(percentage=0.1)
# print("\033[1;32m[记忆遗忘]\033[0m 记忆遗忘完成")
print("\033[1;32m[记忆遗忘]\033[0m 开始遗忘记忆...")
await hippocampus.operation_forget_topic(percentage=0.1)
print("\033[1;32m[记忆遗忘]\033[0m 记忆遗忘完成")
@scheduler.scheduled_job("interval", seconds=global_config.build_memory_interval + 10, id="merge_memory")
async def merge_memory_task():
@@ -133,9 +136,9 @@ async def merge_memory_task():
# await hippocampus.operation_merge_memory(percentage=0.1)
# print("\033[1;32m[记忆整合]\033[0m 记忆整合完成")
@scheduler.scheduled_job("interval", seconds=30, id="print_mood")
async def print_mood_task():
"""每30秒打印一次情绪状态"""
mood_manager = MoodManager.get_instance()
mood_manager.print_mood_status()