# 此模块提供了消息处理的具体逻辑的接口 import asyncio import datetime import json import threading from func_timeout import func_set_timeout import logging import openai from mirai import Image, MessageChain, Plain # 这里不使用动态引入config # 因为在这里动态引入会卡死程序 # 而此模块静态引用config与动态引入的表现一致 import config as config_init_import import pkg.openai.session import pkg.openai.manager import pkg.utils.reloader import pkg.utils.updater import pkg.utils.context import pkg.qqbot.message import pkg.qqbot.command processing = [] @func_set_timeout(config_init_import.process_message_timeout) def process_message(launcher_type: str, launcher_id: int, text_message: str, message_chain: MessageChain, sender_id: int) -> MessageChain: global processing mgr = pkg.utils.context.get_qqbot_manager() reply = [] session_name = "{}_{}".format(launcher_type, launcher_id) # 检查发送方是否被禁用 if pkg.utils.context.get_qqbot_manager().enable_banlist: if sender_id in pkg.utils.context.get_qqbot_manager().ban_person: logging.info("根据禁用列表忽略用户{}的消息".format(sender_id)) return [] if launcher_type == 'group' and launcher_id in pkg.utils.context.get_qqbot_manager().ban_group: logging.info("根据禁用列表忽略群{}的消息".format(launcher_id)) return [] # 检查是否被禁言 if launcher_type == 'group': result = mgr.bot.member_info(target=launcher_id, member_id=mgr.bot.qq).get() result = asyncio.run(result) if result.mute_time_remaining > 0: logging.info("机器人被禁言,跳过消息处理(group_{},剩余{}s)".format(launcher_id, result.mute_time_remaining)) return reply pkg.openai.session.get_session(session_name).acquire_response_lock() # 处理消息 try: if session_name in processing: pkg.openai.session.get_session(session_name).release_response_lock() return MessageChain([Plain("[bot]err:正在处理中,请稍后再试")]) config = pkg.utils.context.get_config() processing.append(session_name) try: if text_message.startswith('!') or text_message.startswith("!"): # 指令 reply = pkg.qqbot.command.process_command(session_name, text_message, mgr, config, launcher_type, launcher_id) else: # 消息 reply = pkg.qqbot.message.process_normal_message(text_message, mgr, config, launcher_type, launcher_id) if reply is not None and type(reply[0]) == str: logging.info( "回复[{}]文字消息:{}".format(session_name, reply[0][:min(100, len(reply[0]))] + ( "..." if len(reply[0]) > 100 else ""))) reply = [mgr.reply_filter.process(reply[0])] else: logging.info("回复[{}]图片消息:{}".format(session_name, reply)) finally: processing.remove(session_name) finally: pkg.openai.session.get_session(session_name).release_response_lock() return MessageChain(reply)