fix: 多机部署，导致任务重复

src/pages/api/openapi/startEvents.ts

@@ -0,0 +1,19 @@
+// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { generateQA } from '@/service/events/generateQA';
+import { generateVector } from '@/service/events/generateVector';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    generateQA();
+    generateVector();
+
+    jsonRes(res);
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/service/events/generateAbstract.ts

@@ -8,7 +8,12 @@ import { ChatModelNameEnum } from '@/constants/model';
 import { pushSplitDataBill } from '@/service/events/pushBill';
 
 export async function generateAbstract(next = false): Promise<any> {
+  if (process.env.queueTask !== '1') {
+    fetch(process.env.parentUrl || '');
+    return;
+  }
   if (global.generatingAbstract && !next) return;
+
   global.generatingAbstract = true;
 
   const systemPrompt: ChatCompletionRequestMessage = {

src/service/events/generateQA.ts

@@ -13,7 +13,12 @@ import { ModelSplitDataSchema } from '@/types/mongoSchema';
 const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 12);
 
 export async function generateQA(next = false): Promise<any> {
+  if (process.env.queueTask !== '1') {
+    fetch(process.env.parentUrl || '');
+    return;
+  }
   if (global.generatingQA === true && !next) return;
+
   global.generatingQA = true;
 
   let dataId = null;
@@ -165,8 +170,13 @@ export async function generateQA(next = false): Promise<any> {
       console.log('生成QA错误:', error);
     }
 
-    if (dataId && error?.response?.data?.error?.type === 'insufficient_quota') {
+    // 没有余额或者凭证错误时，拒绝任务
-      console.log('api 余额不足');
+    if (
+      dataId &&
+      (+error.response?.status === 401 ||
+        error?.response?.data?.error?.type === 'insufficient_quota')
+    ) {
+      console.log('api 异常，删除QA任务');
 
       await SplitData.findByIdAndUpdate(dataId, {
         textList: [],

src/service/events/generateVector.ts

@@ -5,7 +5,13 @@ import { ModelDataStatusEnum } from '@/constants/redis';
 import { openaiCreateEmbedding, getOpenApiKey } from '../utils/openai';
 
 export async function generateVector(next = false): Promise<any> {
+  if (process.env.queueTask !== '1') {
+    fetch(process.env.parentUrl || '');
+    return;
+  }
+
   if (global.generatingVector && !next) return;
+
   global.generatingVector = true;
   let dataId = null;
   try {
@@ -84,8 +90,13 @@ export async function generateVector(next = false): Promise<any> {
       console.log('生成向量错误:', error);
     }
 
-    if (dataId && error?.response?.data?.error?.type === 'insufficient_quota') {
+    // 没有余额或者凭证错误时，拒绝任务
-      console.log('api 余额不足,删除 redis 模型数据');
+    if (
+      dataId &&
+      (+error.response?.status === 401 ||
+        error?.response?.data?.error?.type === 'insufficient_quota')
+    ) {
+      console.log('删除向量生成任务记录');
       const redis = await connectRedis();
       redis.del(dataId);
       generateVector(true);