108 lines
2.9 KiB
TypeScript
108 lines
2.9 KiB
TypeScript
import { connectRedis } from '../redis';
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import { VecModelDataIdx } from '@/constants/redis';
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import { vectorToBuffer } from '@/utils/tools';
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import { ModelDataStatusEnum } from '@/constants/redis';
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import { openaiCreateEmbedding, getOpenApiKey } from '../utils/openai';
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export async function generateVector(next = false): Promise<any> {
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if (global.generatingVector && !next) return;
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global.generatingVector = true;
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let dataId = null;
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try {
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const redis = await connectRedis();
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// 从找出一个 status = waiting 的数据
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const searchRes = await redis.ft.search(
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VecModelDataIdx,
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`@status:{${ModelDataStatusEnum.waiting}}`,
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{
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RETURN: ['q', 'userId'],
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LIMIT: {
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from: 0,
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size: 1
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}
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}
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);
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if (searchRes.total === 0) {
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console.log('没有需要生成 【向量】 的数据');
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global.generatingVector = false;
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return;
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}
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const dataItem: { id: string; q: string; userId: string } = {
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id: searchRes.documents[0].id,
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q: String(searchRes.documents[0]?.value?.q || ''),
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userId: String(searchRes.documents[0]?.value?.userId || '')
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};
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dataId = dataItem.id;
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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 res = await getOpenApiKey(dataItem.userId);
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userApiKey = res.userApiKey;
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systemKey = res.systemKey;
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} catch (error: any) {
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if (error?.code === 501) {
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await redis.del(dataItem.id);
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throw new Error(error?.message);
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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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// 生成词向量
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const { vector } = await openaiCreateEmbedding({
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text: dataItem.q,
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userId: dataItem.userId,
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isPay: !userApiKey,
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apiKey: userApiKey || systemKey
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});
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// 更新 redis 向量和状态数据
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await redis.sendCommand([
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'HMSET',
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dataItem.id,
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'vector',
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vectorToBuffer(vector),
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'rawVector',
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JSON.stringify(vector),
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'status',
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ModelDataStatusEnum.ready
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]);
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console.log(`生成向量成功: ${dataItem.id}`);
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generateVector(true);
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} catch (error: any) {
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// log
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if (error?.response) {
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console.log('openai error: 生成向量错误');
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console.log(error.response?.status, error.response?.statusText, error.response?.data);
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} else {
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console.log('生成向量错误:', error);
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}
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if (dataId && error?.response?.data?.error?.type === 'insufficient_quota') {
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console.log('api 余额不足,删除 redis 模型数据');
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const redis = await connectRedis();
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redis.del(dataId);
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generateVector(true);
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return;
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}
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if (error?.response?.statusText === 'Too Many Requests') {
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console.log('生成向量次数限制，1分钟后尝试');
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// 限制次数，1分钟后再试
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setTimeout(() => {
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generateVector(true);
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}, 60000);
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return;
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}
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setTimeout(() => {
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generateVector(true);
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}, 4000);
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}
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}
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