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refactor(qqbot): 独立指令和普通消息处理逻辑
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# 普通消息处理模块
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import logging
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import openai
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import pkg.utils.context
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import pkg.openai.session
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def process_normal_message(text_message: str, mgr, config, launcher_type: str, launcher_id: int) -> list:
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session_name = f"{launcher_type}_{launcher_id}"
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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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logging.debug(type(e))
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# 尝试切换api-key
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current_key_name = pkg.utils.context.get_openai_manager().key_mgr.get_key_name(
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pkg.utils.context.get_openai_manager().key_mgr.using_key
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)
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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(
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"api-key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_key_name))
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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-key调用额度超限({}),接口报错,已切换到{}".format(current_key_name, 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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return reply
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