UNPKG

tmaiplugin

Version:

TrainingMaster AIGC Component

86 lines (85 loc) 4.57 kB
"use strict"; var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } return new (P || (P = Promise))(function (resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; var __importDefault = (this && this.__importDefault) || function (mod) { return (mod && mod.__esModule) ? mod : { "default": mod }; }; Object.defineProperty(exports, "__esModule", { value: true }); exports.SummaryPlugin = void 0; const stringutil_1 = require("./util/stringutil"); const aipluginbase_1 = __importDefault(require("./aipluginbase")); const ROLE_DEFINE = ['你是一名专业的内容分析专家,擅长提取篇幅较长内容的重点,形成摘要', '你是一位程序设计专家,特别擅长数据分析,内容组织并进行结构化设计,形成Json格式的数据']; const PROMPT = [`请分析以下内容并进行精简,按照内容提炼题纲以及小标题,形成层级式摘要,内容尽量精简 原文内容如下:" {{CONTENT}} "`, `请分析内容结构化,按照[{outline:"提纲标题","summary":["摘要内容1","摘要内容2","摘要内容3"]}]的标准Json结构输出。 内容如下:" {{CONTENT}} "` ]; /** * 生成摘要插件 */ class SummaryPlugin extends aipluginbase_1.default { /** * 从指定的文本内容中生成相关的问答 * @param {*} content * @param {*} count * @param {*} axiosOption * @returns */ //并在答案末尾处必须给出答案内容中的关键词 execute(params) { return __awaiter(this, void 0, void 0, function* () { let { content, sectionlength, axios } = params; sectionlength = sectionlength || 1024; if (!this.gptInstance) return { successed: false }; if (!content) return { successed: false, error: { errcode: 2, errmsg: '缺失参数' } }; let arrContent = (0, stringutil_1.splitLongText)(content, sectionlength); let summary = []; while (arrContent.length > 0) { let subarray = [ { role: 'system', content: ROLE_DEFINE[0] }, { role: 'user', content: PROMPT[0].replace('{{CONTENT}}', arrContent.slice(0, 1)[0]) }, ]; console.log('Summary Prompt:', subarray); let result = yield this.gptInstance.chatRequest(subarray, { replyCounts: 1 }, axios); ///如果请求发生了网络错误(不是内容合规问题),则再重试一次,如果任然有错则放弃 if (!result.successed && result.error != 'content_filter') { console.log('network error,retry onemore time'); result = yield this.gptInstance.chatRequest(subarray, { replyCounts: 1 }, axios); } if (result.successed && result.message) { let answerString = result.message[0].message.content.trim(); let orgJsonPrompt = [ { role: 'system', content: ROLE_DEFINE[1] }, { role: 'user', content: PROMPT[1].replace('{{CONTENT}}', answerString) } ]; console.log('orgJsonPrompt', orgJsonPrompt); let fixedJsonResult = yield this.gptInstance.chatRequest(orgJsonPrompt, { replyCounts: 1 }, {}); if (fixedJsonResult.successed) { answerString = fixedJsonResult.message[0].message.content.trim().replace(/\t|\n|\v|\r|\f/g, ''); } let jsonObj = fixedJsonResult.successed ? (0, stringutil_1.fixedJsonString)(answerString) : []; ///能够提取到内容 if (jsonObj.length) summary = summary.concat(jsonObj); } ////删除已经处理的文本 arrContent.splice(0, 1); } return { successed: true, article: summary }; }); } } exports.SummaryPlugin = SummaryPlugin;