feat: 队列任务余额不足时退出

src/constants/model.ts

@@ -34,7 +34,7 @@ export const modelList: ModelConstantsData[] = [
     model: ChatModelNameEnum.GPT35,
     model: ChatModelNameEnum.GPT35,
     trainName: '',
     trainName: '',
     maxToken: 4000,
     maxToken: 4000,
-    contextMaxToken: 7500,
+    contextMaxToken: 7000,
     trainedMaxToken: 2000,
     trainedMaxToken: 2000,
     maxTemperature: 2,
     maxTemperature: 2,
     price: 3
     price: 3
@@ -45,7 +45,7 @@ export const modelList: ModelConstantsData[] = [
     model: ChatModelNameEnum.VECTOR_GPT,
     model: ChatModelNameEnum.VECTOR_GPT,
     trainName: 'vector',
     trainName: 'vector',
     maxToken: 4000,
     maxToken: 4000,
-    contextMaxToken: 7500,
+    contextMaxToken: 7000,
     trainedMaxToken: 2000,
     trainedMaxToken: 2000,
     maxTemperature: 1,
     maxTemperature: 1,
     price: 3
     price: 3

src/pages/api/chat/vectorGpt.ts

@@ -71,7 +71,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       `idx:${VecModelDataPrefix}:hash`,
       `idx:${VecModelDataPrefix}:hash`,
       `@modelId:{${String(
       `@modelId:{${String(
         chat.modelId._id
         chat.modelId._id
-      )}} @vector:[VECTOR_RANGE 0.25 $blob]=>{$YIELD_DISTANCE_AS: score}`,
+      )}} @vector:[VECTOR_RANGE 0.22 $blob]=>{$YIELD_DISTANCE_AS: score}`,
       // `@modelId:{${String(chat.modelId._id)}}=>[KNN 10 @vector $blob AS score]`,
       // `@modelId:{${String(chat.modelId._id)}}=>[KNN 10 @vector $blob AS score]`,
       'RETURN',
       'RETURN',
       '1',
       '1',

src/service/events/generateQA.ts

@@ -19,6 +19,8 @@ export async function generateQA(): Promise<any> {
   }
   }
   global.generatingQA++;
   global.generatingQA++;
 
 
+  let dataId = null;
+
   try {
   try {
     const redis = await connectRedis();
     const redis = await connectRedis();
     // 找出一个需要生成的 dataItem
     // 找出一个需要生成的 dataItem
@@ -32,6 +34,8 @@ export async function generateQA(): Promise<any> {
       return;
       return;
     }
     }
 
 
+    dataId = dataItem._id;
+
     // 源文本
     // 源文本
     const text = dataItem.textList[dataItem.textList.length - 1];
     const text = dataItem.textList[dataItem.textList.length - 1];
     if (!text) {
     if (!text) {
@@ -137,8 +141,25 @@ export async function generateQA(): Promise<any> {
     generateQA();
     generateQA();
     generateVector();
     generateVector();
   } catch (error: any) {
   } catch (error: any) {
-    console.log(error);
-    console.log('生成QA错误:', error?.response);
+    // log
+    if (error?.response) {
+      console.log('openai error: 生成QA错误');
+      console.log(error.response?.status, error.response?.statusText, error.response?.data);
+    } else {
+      console.log('生成QA错误:', error);
+    }
+
+    if (dataId && error?.response?.data?.error?.type === 'insufficient_quota') {
+      console.log('api 余额不足');
+
+      await SplitData.findByIdAndUpdate(dataId, {
+        textList: [],
+        errorText: 'api 余额不足'
+      });
+
+      generateQA();
+      return;
+    }
 
 
     setTimeout(() => {
     setTimeout(() => {
       global.generatingQA--;
       global.generatingQA--;

src/service/events/generateVector.ts

@@ -7,7 +7,7 @@ import { openaiCreateEmbedding, getOpenApiKey } from '../utils/openai';
 export async function generateVector(next = false): Promise<any> {
 export async function generateVector(next = false): Promise<any> {
   if (global.generatingVector && !next) return;
   if (global.generatingVector && !next) return;
   global.generatingVector = true;
   global.generatingVector = true;
-
+  let dataId = null;
   try {
   try {
     const redis = await connectRedis();
     const redis = await connectRedis();
 
 
@@ -36,6 +36,8 @@ export async function generateVector(next = false): Promise<any> {
       userId: String(searchRes.documents[0]?.value?.userId || '')
       userId: String(searchRes.documents[0]?.value?.userId || '')
     };
     };
 
 
+    dataId = dataItem.id;
+
     // 获取 openapi Key
     // 获取 openapi Key
     let userApiKey, systemKey;
     let userApiKey, systemKey;
     try {
     try {
@@ -75,11 +77,23 @@ export async function generateVector(next = false): Promise<any> {
 
 
     setTimeout(() => {
     setTimeout(() => {
       generateVector(true);
       generateVector(true);
-    }, 2000);
+    }, 4000);
   } catch (error: any) {
   } catch (error: any) {
-    console.log('error: 生成向量错误', error?.response?.statusText);
-    !error?.response && console.log(error);
+    // log
+    if (error?.response) {
+      console.log('openai error: 生成向量错误');
+      console.log(error.response?.status, error.response?.statusText, error.response?.data);
+    } else {
+      console.log('生成向量错误:', error);
+    }
 
 
+    if (dataId && error?.response?.data?.error?.type === 'insufficient_quota') {
+      console.log('api 余额不足');
+      const redis = await connectRedis();
+      redis.del(dataId);
+      generateVector(true);
+      return;
+    }
     if (error?.response?.statusText === 'Too Many Requests') {
     if (error?.response?.statusText === 'Too Many Requests') {
       console.log('生成向量次数限制，1分钟后尝试');
       console.log('生成向量次数限制，1分钟后尝试');
       // 限制次数，1分钟后再试
       // 限制次数，1分钟后再试
@@ -88,9 +102,8 @@ export async function generateVector(next = false): Promise<any> {
       }, 60000);
       }, 60000);
       return;
       return;
     }
     }
-
     setTimeout(() => {
     setTimeout(() => {
       generateVector(true);
       generateVector(true);
-    }, 3000);
+    }, 4000);
   }
   }
 }
 }