# 普通消息处理模块 import logging import openai import pkg.utils.context import pkg.openai.session import pkg.plugin.host as plugin_host import pkg.plugin.models as plugin_models def process_normal_message(text_message: str, mgr, config, launcher_type: str, launcher_id: int, sender_id: int) -> list: session_name = f"{launcher_type}_{launcher_id}" logging.info("[{}]发送消息:{}".format(session_name, text_message[:min(20, len(text_message))] + ( "..." if len(text_message) > 20 else ""))) session = pkg.openai.session.get_session(session_name) reply = [] while True: try: prefix = "[GPT]" if hasattr(config, "show_prefix") and config.show_prefix else "" text = session.append(text_message) # 触发插件事件 args = { "launcher_type": launcher_type, "launcher_id": launcher_id, "sender_id": sender_id, "session": session, "prefix": prefix, "response_text": text } event = pkg.plugin.host.emit(plugin_models.NormalMessageResponded, **args) if event.get_return_value("prefix") is not None: prefix = event.get_return_value("prefix") if event.get_return_value("reply") is not None: reply = event.get_return_value("reply") if not event.is_prevented_default(): reply = [prefix + text] except openai.error.APIConnectionError as e: mgr.notify_admin("{}会话调用API失败:{}".format(session_name, e)) reply = ["[bot]err:调用API失败,请重试或联系作者,或等待修复"] except openai.error.RateLimitError as e: logging.debug(type(e)) logging.debug(e.error['message']) if 'message' in e.error and e.error['message'].__contains__('You exceeded your current quota'): # 尝试切换api-key current_key_name = pkg.utils.context.get_openai_manager().key_mgr.get_key_name( pkg.utils.context.get_openai_manager().key_mgr.using_key ) pkg.utils.context.get_openai_manager().key_mgr.set_current_exceeded() # 触发插件事件 args = { 'key_name': current_key_name, 'usage': pkg.utils.context.get_openai_manager().audit_mgr .get_usage(pkg.utils.context.get_openai_manager().key_mgr.get_using_key_md5()), 'exceeded_keys': pkg.utils.context.get_openai_manager().key_mgr.exceeded, } event = plugin_host.emit(plugin_models.KeyExceeded, **args) if not event.is_prevented_default(): switched, name = pkg.utils.context.get_openai_manager().key_mgr.auto_switch() if not switched: mgr.notify_admin( "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( current_key_name)) reply = ["[bot]err:API调用额度超额,请联系作者,或等待修复"] else: openai.api_key = pkg.utils.context.get_openai_manager().key_mgr.get_using_key() mgr.notify_admin("api-key调用额度超限({}),接口报错,已切换到{}".format(current_key_name, name)) reply = ["[bot]err:API调用额度超额,已自动切换,请重新发送消息"] continue elif 'message' in e.error and e.error['message'].__contains__('You can retry your request'): # 重试 continue else: mgr.notify_admin("{}会话调用API失败:{}".format(session_name, e)) reply = ["[bot]err:RateLimitError,请重试或联系作者,或等待修复"] except openai.error.InvalidRequestError as e: 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" "completion_api_params中的max_tokens参数数值过大导致的,请尝试将其降低".format( session_name, e)) reply = ["[bot]err:API调用参数错误,请联系作者,或等待修复"] except openai.error.ServiceUnavailableError as e: # mgr.notify_admin("{}API调用服务不可用:{}".format(session_name, e)) reply = ["[bot]err:API调用服务暂不可用,请尝试重试"] except Exception as e: logging.exception(e) reply = ["[bot]err:{}".format(e)] break return reply