mirror of
https://github.com/labring/FastGPT.git
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130 lines
3.5 KiB
TypeScript
130 lines
3.5 KiB
TypeScript
import { DataItem } from '@/service/mongo';
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import { getOpenAIApi } from '@/service/utils/chat';
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import { httpsAgent, getOpenApiKey } from '@/service/utils/tools';
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import type { ChatCompletionRequestMessage } from 'openai';
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import { DataItemSchema } from '@/types/mongoSchema';
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import { ChatModelNameEnum } from '@/constants/model';
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export async function generateQA(next = false): Promise<any> {
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if (global.generatingQA && !next) return;
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global.generatingQA = true;
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const systemPrompt: ChatCompletionRequestMessage = {
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role: 'system',
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content: `总结助手。我会向你发送一段长文本,请从中总结出10个问题和答案,答案请尽量详细,请按以下格式返回:
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"Q1:"
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"A1:"
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"Q2:"
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"A2:"
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`
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};
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let dataItem: DataItemSchema | null = null;
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try {
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// 找出一个需要生成的 dataItem
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dataItem = await DataItem.findOne({
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status: 1,
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times: { $gt: 0 }
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});
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if (!dataItem) {
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console.log('没有需要生成 QA 的数据');
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global.generatingQA = false;
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return;
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}
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// 减少一次重试次数, 并更新状态为生成中
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await DataItem.findByIdAndUpdate(dataItem._id, {
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status: 2,
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$inc: {
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time: -1
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}
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});
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// 获取 openapi Key
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let userApiKey, systemKey;
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try {
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const key = await getOpenApiKey(dataItem.userId);
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userApiKey = key.userApiKey;
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systemKey = key.systemKey;
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} catch (error) {
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// 余额不够了, 把用户所有记录改成闲置
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await DataItem.updateMany({
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userId: dataItem.userId,
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status: 0
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});
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throw new Error('获取 openai key 失败');
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}
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console.log('正在生成一个QA', dataItem._id);
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const startTime = Date.now();
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// 获取 openai 请求实例
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const chatAPI = getOpenAIApi(userApiKey || systemKey);
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// 请求 chatgpt 获取回答
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const response = await chatAPI.createChatCompletion(
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{
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model: ChatModelNameEnum.GPT35,
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temperature: dataItem.temperature,
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n: 1,
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messages: [
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systemPrompt,
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{
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role: 'user',
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content: dataItem.text
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}
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]
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},
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{
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timeout: 60000,
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httpsAgent
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}
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);
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const content = response.data.choices[0].message?.content;
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// 从 content 中提取 QA
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const splitResponse = splitText(content || '');
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if (splitResponse.length > 0) {
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// 插入数据库,并修改状态
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await DataItem.findByIdAndUpdate(dataItem._id, {
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status: 0,
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$push: {
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result: {
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$each: splitResponse
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}
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}
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});
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console.log('生成成功,time:', `${(Date.now() - startTime) / 1000}s`);
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}
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} catch (error: any) {
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console.log('error: 生成QA错误', dataItem?._id);
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console.log('statusText:', error?.response?.statusText);
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// 重置状态
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if (dataItem?._id) {
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await DataItem.findByIdAndUpdate(dataItem._id, {
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status: dataItem.times > 0 ? 1 : 0 // 还有重试次数则可以继续进行
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});
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}
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}
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generateQA(true);
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}
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/**
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* 检查文本是否按格式返回
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*/
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function splitText(text: string) {
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const regex = /Q\d+:\s(.+)?\nA\d+:\s(.+)?/g; // 匹配Q和A的正则表达式
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const matches = text.matchAll(regex); // 获取所有匹配到的结果
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const result = []; // 存储最终的结果
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for (const match of matches) {
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const q = match[1];
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const a = match[2];
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if (q && a) {
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result.push({ q, a }); // 如果Q和A都存在,就将其添加到结果中
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}
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}
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return result;
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}
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