mirror of
https://github.com/RockChinQ/QChatGPT.git
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333 lines
18 KiB
Python
333 lines
18 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 datetime
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import json
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import threading
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from func_timeout import func_set_timeout
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import logging
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import openai
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from mirai import Image, MessageChain
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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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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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processing = []
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def config_operation(cmd, params):
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reply = []
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config = pkg.utils.context.get_config()
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reply_str = ""
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if len(params) == 0:
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reply = ["[bot]err:请输入配置项"]
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else:
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cfg_name = params[0]
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if cfg_name == 'all':
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reply_str = "[bot]所有配置项:\n\n"
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for cfg in dir(config):
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if not cfg.startswith('__') and not cfg == 'logging':
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# 根据配置项类型进行格式化，如果是字典则转换为json并格式化
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if isinstance(getattr(config, cfg), str):
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reply_str += "{}: \"{}\"\n".format(cfg, getattr(config, cfg))
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elif isinstance(getattr(config, cfg), dict):
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# 不进行unicode转义，并格式化
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reply_str += "{}: {}\n".format(cfg,
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json.dumps(getattr(config, cfg),
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ensure_ascii=False, indent=4))
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else:
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reply_str += "{}: {}\n".format(cfg, getattr(config, cfg))
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reply = [reply_str]
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elif cfg_name in dir(config):
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if len(params) == 1:
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# 按照配置项类型进行格式化
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if isinstance(getattr(config, cfg_name), str):
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reply_str = "[bot]配置项{}: \"{}\"\n".format(cfg_name, getattr(config, cfg_name))
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elif isinstance(getattr(config, cfg_name), dict):
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reply_str = "[bot]配置项{}: {}\n".format(cfg_name,
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json.dumps(getattr(config, cfg_name),
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ensure_ascii=False, indent=4))
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else:
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reply_str = "[bot]配置项{}: {}\n".format(cfg_name, getattr(config, cfg_name))
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reply = [reply_str]
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else:
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cfg_value = " ".join(params[1:])
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# 类型转换，如果是json则转换为字典
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if cfg_value == 'true':
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cfg_value = True
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elif cfg_value == 'false':
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cfg_value = False
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elif cfg_value.isdigit():
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cfg_value = int(cfg_value)
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elif cfg_value.startswith('{') and cfg_value.endswith('}'):
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cfg_value = json.loads(cfg_value)
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else:
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try:
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cfg_value = float(cfg_value)
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except ValueError:
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pass
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# 检查类型是否匹配
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if isinstance(getattr(config, cfg_name), type(cfg_value)):
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setattr(config, cfg_name, cfg_value)
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pkg.utils.context.set_config(config)
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reply = ["[bot]配置项{}修改成功".format(cfg_name)]
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else:
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reply = ["[bot]err:配置项{}类型不匹配".format(cfg_name)]
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else:
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reply = ["[bot]err:未找到配置项 {}".format(cfg_name)]
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return reply
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@func_set_timeout(config_init_import.process_message_timeout)
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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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pkg.openai.session.get_session(session_name).acquire_response_lock()
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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 ["[bot]err:正在处理中，请稍后再试"]
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processing.append(session_name)
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config = pkg.utils.context.get_config()
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try:
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if text_message.startswith('!') or text_message.startswith("！"): # 指令
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try:
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logging.info(
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"[{}]发起指令:{}".format(session_name, text_message[:min(20, len(text_message))] + (
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"..." if len(text_message) > 20 else "")))
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cmd = text_message[1:].strip().split(' ')[0]
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params = text_message[1:].strip().split(' ')[1:]
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if cmd == 'help':
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reply = ["[bot]" + config.help_message]
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elif cmd == 'reset':
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pkg.openai.session.get_session(session_name).reset(explicit=True)
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reply = ["[bot]会话已重置"]
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elif cmd == 'last':
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result = pkg.openai.session.get_session(session_name).last_session()
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if result is None:
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reply = ["[bot]没有前一次的对话"]
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else:
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datetime_str = datetime.datetime.fromtimestamp(result.create_timestamp).strftime(
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'%Y-%m-%d %H:%M:%S')
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reply = ["[bot]已切换到前一次的对话：\n创建时间:{}\n".format(
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datetime_str) + result.prompt[
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:min(100,
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len(result.prompt))] + \
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("..." if len(result.prompt) > 100 else "#END#")]
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elif cmd == 'next':
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result = pkg.openai.session.get_session(session_name).next_session()
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if result is None:
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reply = ["[bot]没有后一次的对话"]
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else:
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datetime_str = datetime.datetime.fromtimestamp(result.create_timestamp).strftime(
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'%Y-%m-%d %H:%M:%S')
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reply = ["[bot]已切换到后一次的对话：\n创建时间:{}\n".format(
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datetime_str) + result.prompt[
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:min(100,
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len(result.prompt))] + \
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("..." if len(result.prompt) > 100 else "#END#")]
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elif cmd == 'prompt':
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reply = ["[bot]当前对话所有内容：\n" + pkg.openai.session.get_session(session_name).prompt]
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elif cmd == 'list':
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pkg.openai.session.get_session(session_name).persistence()
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page = 0
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if len(params) > 0:
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try:
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page = int(params[0])
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except ValueError:
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pass
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results = pkg.openai.session.get_session(session_name).list_history(page=page)
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if len(results) == 0:
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reply = ["[bot]第{}页没有历史会话".format(page)]
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else:
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reply_str = "[bot]历史会话 第{}页：\n".format(page)
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current = -1
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for i in range(len(results)):
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# 时间(使用create_timestamp转换) 序号 部分内容
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datetime_obj = datetime.datetime.fromtimestamp(results[i]['create_timestamp'])
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reply_str += "#{} 创建:{} {}\n".format(i + page * 10,
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datetime_obj.strftime("%Y-%m-%d %H:%M:%S"),
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results[i]['prompt'][
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:min(20, len(results[i]['prompt']))])
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if results[i]['create_timestamp'] == pkg.openai.session.get_session(
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session_name).create_timestamp:
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current = i + page * 10
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reply_str += "\n以上信息倒序排列"
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if current != -1:
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reply_str += ",当前会话是 #{}\n".format(current)
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else:
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reply_str += ",当前处于全新会话或不在此页"
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reply = [reply_str]
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elif cmd == 'fee':
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api_keys = pkg.utils.context.get_openai_manager().key_mgr.api_key
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reply_str = "[bot]api-key费用情况(估算):(阈值:{})\n\n".format(
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pkg.utils.context.get_openai_manager().key_mgr.api_key_fee_threshold)
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using_key_name = ""
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for api_key in api_keys:
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reply_str += "{}:\n - {}美元 {}%\n".format(api_key,
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round(
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pkg.utils.context.get_openai_manager().key_mgr.get_fee(
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api_keys[api_key]), 6),
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round(
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pkg.utils.context.get_openai_manager().key_mgr.get_fee(
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api_keys[
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api_key]) / pkg.utils.context.get_openai_manager().key_mgr.api_key_fee_threshold * 100,
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3))
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if api_keys[api_key] == pkg.utils.context.get_openai_manager().key_mgr.using_key:
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using_key_name = api_key
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reply_str += "\n当前使用:{}".format(using_key_name)
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reply = [reply_str]
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elif cmd == 'usage':
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reply_str = "[bot]各api-key使用情况:\n\n"
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api_keys = pkg.utils.context.get_openai_manager().key_mgr.api_key
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for key_name in api_keys:
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text_length = pkg.utils.context.get_openai_manager().audit_mgr\
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.get_text_length_of_key(api_keys[key_name])
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image_count = pkg.utils.context.get_openai_manager().audit_mgr\
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.get_image_count_of_key(api_keys[key_name])
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reply_str += "{}:\n - 文本长度:{}\n - 图片数量:{}\n".format(key_name, int(text_length), int(image_count))
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reply = [reply_str]
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elif cmd == 'draw':
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if len(params) == 0:
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reply = ["[bot]err:请输入图片描述文字"]
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else:
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session = pkg.openai.session.get_session(session_name)
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res = session.draw_image(" ".join(params))
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logging.debug("draw_image result:{}".format(res))
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reply = [Image(url=res['data'][0]['url'])]
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if not (hasattr(config, 'include_image_description')
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and not config.include_image_description):
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reply.append(" ".join(params))
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elif cmd == 'version':
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reply = ["[bot]当前版本:\n{}".format(pkg.utils.updater.get_current_version_info())]
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elif cmd == 'reload' and launcher_type == 'person' and launcher_id == config.admin_qq:
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def reload_task():
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pkg.utils.reloader.reload_all()
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threading.Thread(target=reload_task, daemon=True).start()
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elif cmd == 'update' and launcher_type == 'person' and launcher_id == config.admin_qq:
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def update_task():
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try:
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pkg.utils.updater.update_all()
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except Exception as e0:
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pkg.utils.context.get_qqbot_manager().notify_admin("更新失败:{}".format(e0))
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return
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pkg.utils.reloader.reload_all(notify=False)
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pkg.utils.context.get_qqbot_manager().notify_admin("更新完成")
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threading.Thread(target=update_task, daemon=True).start()
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elif cmd == 'cfg' and launcher_type == 'person' and launcher_id == config.admin_qq:
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reply = config_operation(cmd, params)
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else:
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if cmd.startswith("~") and launcher_type == 'person' and launcher_id == config.admin_qq:
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config_item = cmd[1:]
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params = [config_item] + params
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reply = config_operation("cfg", params)
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else:
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reply = ["[bot]err:未知的指令或权限不足: "+cmd]
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except Exception as e:
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mgr.notify_admin("{}指令执行失败:{}".format(session_name, e))
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logging.exception(e)
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reply = ["[bot]err:{}".format(e)]
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else: # 消息
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logging.info("[{}]发送消息:{}".format(session_name, text_message[:min(20, len(text_message))] + (
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"..." if len(text_message) > 20 else "")))
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session = pkg.openai.session.get_session(session_name)
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while True:
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try:
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prefix = "[GPT]" if hasattr(config, "show_prefix") and config.show_prefix else ""
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reply = [prefix + session.append(text_message)]
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except openai.error.APIConnectionError as e:
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mgr.notify_admin("{}会话调用API失败:{}".format(session_name, e))
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reply = ["[bot]err:调用API失败，请重试或联系作者，或等待修复"]
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except openai.error.RateLimitError as e:
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# 尝试切换api-key
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current_tokens_amt = pkg.utils.context.get_openai_manager().key_mgr.get_fee(
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pkg.utils.context.get_openai_manager().key_mgr.get_using_key())
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pkg.utils.context.get_openai_manager().key_mgr.set_current_exceeded()
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switched, name = pkg.utils.context.get_openai_manager().key_mgr.auto_switch()
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if not switched:
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mgr.notify_admin("API调用额度超限({}),无可用api_key,请向OpenAI账户充值或在config.py中更换api_key".format(
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current_tokens_amt))
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reply = ["[bot]err:API调用额度超额，请联系作者，或等待修复"]
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else:
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openai.api_key = pkg.utils.context.get_openai_manager().key_mgr.get_using_key()
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mgr.notify_admin("API调用额度超限({}),接口报错,已切换到{}".format(current_tokens_amt, name))
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reply = ["[bot]err:API调用额度超额，已自动切换，请重新发送消息"]
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continue
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except openai.error.InvalidRequestError as e:
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mgr.notify_admin("{}API调用参数错误:{}\n\n这可能是由于config.py中的prompt_submit_length参数或"
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"completion_api_params中的max_tokens参数数值过大导致的，请尝试将其降低".format(
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session_name, e))
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reply = ["[bot]err:API调用参数错误，请联系作者，或等待修复"]
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except openai.error.ServiceUnavailableError as e:
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# mgr.notify_admin("{}API调用服务不可用:{}".format(session_name, e))
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reply = ["[bot]err:API调用服务暂不可用，请尝试重试"]
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except Exception as e:
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logging.exception(e)
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reply = ["[bot]err:{}".format(e)]
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break
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if reply is not None and type(reply[0]) == str:
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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[{}]图片消息:{}".format(session_name, reply))
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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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