mirror of
https://github.com/RockChinQ/QChatGPT.git
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187 lines
7.2 KiB
Python
187 lines
7.2 KiB
Python
# 此模块提供了消息处理的具体逻辑的接口
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import asyncio
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import time
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import traceback
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import mirai
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import logging
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# 这里不使用动态引入config
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# 因为在这里动态引入会卡死程序
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# 而此模块静态引用config与动态引入的表现一致
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# 已弃用,由于超时时间现已动态使用
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# import config as config_init_import
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from ..qqbot import ratelimit
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from ..qqbot import command, message
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from ..openai import session as openai_session
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from ..utils import context
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from ..plugin import host as plugin_host
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from ..plugin import models as plugin_models
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from ..qqbot import ignore
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from ..qqbot import banlist
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from ..qqbot import blob
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import tips as tips_custom
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processing = []
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def is_admin(qq: int) -> bool:
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"""兼容list和int类型的管理员判断"""
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config = context.get_config_manager().data
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if type(config['admin_qq']) == list:
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return qq in config['admin_qq']
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else:
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return qq == config['admin_qq']
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def process_message(launcher_type: str, launcher_id: int, text_message: str, message_chain: mirai.MessageChain,
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sender_id: int) -> mirai.MessageChain:
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global processing
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mgr = context.get_qqbot_manager()
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reply = []
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session_name = "{}_{}".format(launcher_type, launcher_id)
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# 检查发送方是否被禁用
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if banlist.is_banned(launcher_type, launcher_id, sender_id):
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logging.info("根据禁用列表忽略{}_{}的消息".format(launcher_type, launcher_id))
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return []
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if ignore.ignore(text_message):
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logging.info("根据忽略规则忽略消息: {}".format(text_message))
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return []
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config = context.get_config_manager().data
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if not config['wait_last_done'] and session_name in processing:
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return mirai.MessageChain([mirai.Plain(tips_custom.message_drop_tip)])
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# 检查是否被禁言
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if launcher_type == 'group':
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is_muted = mgr.adapter.is_muted(launcher_id)
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if is_muted:
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logging.info("机器人被禁言,跳过消息处理(group_{})".format(launcher_id))
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return reply
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if config['income_msg_check']:
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if mgr.reply_filter.is_illegal(text_message):
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return mirai.MessageChain(mirai.Plain("[bot] 消息中存在不合适的内容, 请更换措辞"))
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openai_session.get_session(session_name).acquire_response_lock()
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text_message = text_message.strip()
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# 为强制消息延迟计时
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start_time = time.time()
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# 处理消息
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try:
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processing.append(session_name)
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try:
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if text_message.startswith('!') or text_message.startswith("!"): # 指令
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# 触发插件事件
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args = {
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'launcher_type': launcher_type,
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'launcher_id': launcher_id,
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'sender_id': sender_id,
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'command': text_message[1:].strip().split(' ')[0],
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'params': text_message[1:].strip().split(' ')[1:],
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'text_message': text_message,
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'is_admin': is_admin(sender_id),
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}
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event = plugin_host.emit(plugin_models.PersonCommandSent
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if launcher_type == 'person'
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else plugin_models.GroupCommandSent, **args)
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if event.get_return_value("alter") is not None:
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text_message = event.get_return_value("alter")
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# 取出插件提交的返回值赋值给reply
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if event.get_return_value("reply") is not None:
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reply = event.get_return_value("reply")
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if not event.is_prevented_default():
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reply = command.process_command(session_name, text_message,
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mgr, config, launcher_type, launcher_id, sender_id, is_admin(sender_id))
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else: # 消息
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# 限速丢弃检查
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# print(ratelimit.__crt_minute_usage__[session_name])
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if config['rate_limit_strategy'] == "drop":
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if ratelimit.is_reach_limit(session_name):
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logging.info("根据限速策略丢弃[{}]消息: {}".format(session_name, text_message))
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return mirai.MessageChain(["[bot]"+tips_custom.rate_limit_drop_tip]) if tips_custom.rate_limit_drop_tip != "" else []
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before = time.time()
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# 触发插件事件
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args = {
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"launcher_type": launcher_type,
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"launcher_id": launcher_id,
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"sender_id": sender_id,
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"text_message": text_message,
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}
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event = plugin_host.emit(plugin_models.PersonNormalMessageReceived
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if launcher_type == 'person'
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else plugin_models.GroupNormalMessageReceived, **args)
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if event.get_return_value("alter") is not None:
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text_message = event.get_return_value("alter")
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# 取出插件提交的返回值赋值给reply
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if event.get_return_value("reply") is not None:
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reply = event.get_return_value("reply")
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if not event.is_prevented_default():
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reply = message.process_normal_message(text_message,
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mgr, config, launcher_type, launcher_id, sender_id)
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# 限速等待时间
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if config['rate_limit_strategy'] == "wait":
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time.sleep(ratelimit.get_rest_wait_time(session_name, time.time() - before))
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ratelimit.add_usage(session_name)
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if reply is not None and len(reply) > 0 and (type(reply[0]) == str or type(reply[0]) == mirai.Plain):
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if type(reply[0]) == mirai.Plain:
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reply[0] = reply[0].text
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logging.info(
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"回复[{}]文字消息:{}".format(session_name,
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reply[0][:min(100, len(reply[0]))] + (
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"..." if len(reply[0]) > 100 else "")))
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reply = [mgr.reply_filter.process(reply[0])]
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reply = blob.check_text(reply[0])
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else:
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logging.info("回复[{}]消息".format(session_name))
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finally:
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processing.remove(session_name)
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finally:
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openai_session.get_session(session_name).release_response_lock()
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# 检查延迟时间
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if config['force_delay_range'][1] == 0:
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delay_time = 0
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else:
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import random
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# 从延迟范围中随机取一个值(浮点)
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rdm = random.uniform(config['force_delay_range'][0], config['force_delay_range'][1])
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spent = time.time() - start_time
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# 如果花费时间小于延迟时间,则延迟
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delay_time = rdm - spent if rdm - spent > 0 else 0
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# 延迟
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if delay_time > 0:
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logging.info("[风控] 强制延迟{:.2f}秒(如需关闭,请到config.py修改force_delay_range字段)".format(delay_time))
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time.sleep(delay_time)
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return mirai.MessageChain(reply)
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