QChatGPT/pkg/qqbot/process.py

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# 此模块提供了消息处理的具体逻辑的接口
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import asyncio
import time
import traceback
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import mirai
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import logging
# 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
# 已弃用,由于超时时间现已动态使用
# import config as config_init_import
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from ..qqbot import ratelimit
from ..qqbot import command, message
from ..openai import session as openai_session
from ..utils import context
from ..plugin import host as plugin_host
from ..plugin import models as plugin_models
from ..qqbot import ignore
from ..qqbot import banlist
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:
"""兼容list和int类型的管理员判断"""
config = context.get_config_manager().data
if type(config['admin_qq']) == list:
return qq in config['admin_qq']
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else:
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,
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
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))
return []
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if ignore.ignore(text_message):
logging.info("根据忽略规则忽略消息: {}".format(text_message))
return []
config = context.get_config_manager().data
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)])
# 检查是否被禁言
if launcher_type == 'group':
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is_muted = mgr.adapter.is_muted(launcher_id)
if is_muted:
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']:
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
start_time = time.time()
# 处理消息
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try:
processing.append(session_name)
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try:
msg_type = ''
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if text_message.startswith('!') or text_message.startswith(""): # 命令
msg_type = 'command'
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# 触发插件事件
args = {
'launcher_type': launcher_type,
'launcher_id': launcher_id,
'sender_id': sender_id,
'command': text_message[1:].strip().split(' ')[0],
'params': text_message[1:].strip().split(' ')[1:],
'text_message': text_message,
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'is_admin': is_admin(sender_id),
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}
event = plugin_host.emit(plugin_models.PersonCommandSent
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if launcher_type == 'person'
else plugin_models.GroupCommandSent, **args)
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if event.get_return_value("alter") is not None:
text_message = event.get_return_value("alter")
# 取出插件提交的返回值赋值给reply
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))
else: # 消息
msg_type = 'message'
# 限速丢弃检查
# print(ratelimit.__crt_minute_usage__[session_name])
if config['rate_limit_strategy'] == "drop":
if ratelimit.is_reach_limit(session_name):
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 []
before = time.time()
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# 触发插件事件
args = {
"launcher_type": launcher_type,
"launcher_id": launcher_id,
"sender_id": sender_id,
"text_message": text_message,
}
event = plugin_host.emit(plugin_models.PersonNormalMessageReceived
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if launcher_type == 'person'
else plugin_models.GroupNormalMessageReceived, **args)
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if event.get_return_value("alter") is not None:
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
if event.get_return_value("reply") is not None:
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,
mgr, config, launcher_type, launcher_id, sender_id)
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# 限速等待时间
if config['rate_limit_strategy'] == "wait":
time.sleep(ratelimit.get_rest_wait_time(session_name, time.time() - before))
ratelimit.add_usage(session_name)
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:
reply[0] = reply[0].text
logging.info(
"回复[{}]文字消息:{}".format(session_name,
reply[0][:min(100, len(reply[0]))] + (
"..." if len(reply[0]) > 100 else "")))
if msg_type == 'message':
reply = [mgr.reply_filter.process(reply[0])]
reply = blob.check_text(reply[0])
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else:
logging.info("回复[{}]消息".format(session_name))
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finally:
processing.remove(session_name)
finally:
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openai_session.get_session(session_name).release_response_lock()
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# 检查延迟时间
if config['force_delay_range'][1] == 0:
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delay_time = 0
else:
import random
# 从延迟范围中随机取一个值(浮点)
rdm = random.uniform(config['force_delay_range'][0], config['force_delay_range'][1])
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spent = time.time() - start_time
# 如果花费时间小于延迟时间,则延迟
delay_time = rdm - spent if rdm - spent > 0 else 0
# 延迟
if delay_time > 0:
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))
time.sleep(delay_time)
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return mirai.MessageChain(reply)