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https://github.com/langbot-app/LangBot.git
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Bug修复
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@@ -0,0 +1,168 @@
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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
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import time
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import mirai
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import logging
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from mirai import MessageChain, Plain
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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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import pkg.openai.session
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import pkg.openai.manager
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import pkg.utils.reloader
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import pkg.utils.updater
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import pkg.utils.context
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import pkg.qqbot.message
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import pkg.qqbot.command
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import pkg.qqbot.ratelimit as ratelimit
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import pkg.plugin.host as plugin_host
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import pkg.plugin.models as plugin_models
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import pkg.qqbot.ignore as ignore
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import pkg.qqbot.banlist as banlist
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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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import config
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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: MessageChain,
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sender_id: int) -> MessageChain:
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global processing
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mgr = pkg.utils.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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# 检查是否被禁言
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if launcher_type == 'group':
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result = mgr.bot.member_info(target=launcher_id, member_id=mgr.bot.qq).get()
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result = asyncio.run(result)
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if result.mute_time_remaining > 0:
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logging.info("机器人被禁言,跳过消息处理(group_{},剩余{}s)".format(launcher_id,
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result.mute_time_remaining))
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return reply
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import config
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if hasattr(config, 'income_msg_check') and config.income_msg_check:
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if mgr.reply_filter.is_illegal(text_message):
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return MessageChain(Plain("[bot] 你的提问中有不合适的内容, 请更换措辞~"))
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pkg.openai.session.get_session(session_name).acquire_response_lock()
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text_message = text_message.strip()
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# 处理消息
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try:
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if session_name in processing:
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pkg.openai.session.get_session(session_name).release_response_lock()
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return MessageChain([Plain("[bot]err:正在处理中,请稍后再试")])
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config = pkg.utils.context.get_config()
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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 = pkg.qqbot.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 hasattr(config, "rate_limitation") and 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 MessageChain(["[bot]"+config.rate_limit_drop_tip]) if hasattr(config, "rate_limit_drop_tip") and config.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 = pkg.qqbot.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 hasattr(config, "rate_limitation") and 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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if hasattr(config, "rate_limitation"):
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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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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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pkg.openai.session.get_session(session_name).release_response_lock()
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return MessageChain(reply)
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