perf: log和向量对话

src/pages/api/chat/vectorGpt.ts

@@ -14,6 +14,7 @@ import { connectRedis } from '@/service/redis';
 import { VecModelDataPrefix } from '@/constants/redis';
 import { vectorToBuffer } from '@/utils/tools';
 import { openaiCreateEmbedding } from '@/service/utils/openai';
+import { gpt35StreamResponse } from '@/service/utils/openai';
 
 /* 发送提示词 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
@@ -152,49 +153,13 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 
     console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
 
-    // 创建响应流
-    res.setHeader('Content-Type', 'text/event-stream;charset-utf-8');
-    res.setHeader('Access-Control-Allow-Origin', '*');
-    res.setHeader('X-Accel-Buffering', 'no');
-    res.setHeader('Cache-Control', 'no-cache, no-transform');
     step = 1;
 
-    let responseContent = '';
-    stream.pipe(res);
-
-    const onParse = async (event: ParsedEvent | ReconnectInterval) => {
-      if (event.type !== 'event') return;
-      const data = event.data;
-      if (data === '[DONE]') return;
-      try {
-        const json = JSON.parse(data);
-        const content: string = json?.choices?.[0].delta.content || '';
-        if (!content || (responseContent === '' && content === '\n')) return;
-
-        responseContent += content;
-        // console.log('content:', content)
-        !stream.destroyed && stream.push(content.replace(/\n/g, '<br/>'));
-      } catch (error) {
-        error;
-      }
-    };
-
-    const decoder = new TextDecoder();
-    try {
-      for await (const chunk of chatResponse.data as any) {
-        if (stream.destroyed) {
-          // 流被中断了，直接忽略后面的内容
-          break;
-        }
-        const parser = createParser(onParse);
-        parser.feed(decoder.decode(chunk));
-      }
-    } catch (error) {
-      console.log('pipe error', error);
-    }
-    // close stream
-    !stream.destroyed && stream.push(null);
-    stream.destroy();
+    const { responseContent } = await gpt35StreamResponse({
+      res,
+      stream,
+      chatResponse
+    });
 
     const promptsContent = formatPrompts.map((item) => item.content).join('');
     // 只有使用平台的 key 才计费

src/pages/model/detail/components/SelectFileModal.tsx

@@ -14,7 +14,6 @@ import {
 } from '@chakra-ui/react';
 import { useToast } from '@/hooks/useToast';
 import { useSelectFile } from '@/hooks/useSelectFile';
-import { customAlphabet } from 'nanoid';
 import { encode } from 'gpt-token-utils';
 import { useConfirm } from '@/hooks/useConfirm';
 import { readTxtContent, readPdfContent, readDocContent } from '@/utils/tools';
@@ -22,8 +21,6 @@ import { useMutation } from '@tanstack/react-query';
 import { postModelDataSplitData } from '@/api/model';
 import { formatPrice } from '@/utils/user';
 
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 12);
-
 const fileExtension = '.txt,.doc,.docx,.pdf,.md';
 
 const SelectFileModal = ({

src/service/events/pushBill.ts

@@ -34,7 +34,6 @@ export const pushChatBill = async ({
       // 计算价格
       const unitPrice = modelItem?.price || 5;
       const price = unitPrice * tokens;
-      console.log(`unit price: ${unitPrice}, price: ${formatPrice(price)}元`);
 
       try {
         // 插入 Bill 记录
@@ -91,8 +90,6 @@ export const pushSplitDataBill = async ({
         // 计算价格
         const price = unitPrice * tokenLen;
 
-        console.log(`price: ${formatPrice(price)}元`);
-
         // 插入 Bill 记录
         const res = await Bill.create({
           userId,
@@ -143,8 +140,6 @@ export const pushGenerateVectorBill = async ({
         let price = unitPrice * tokenLen;
         price = price > 1 ? price : 1;
 
-        console.log(`price: ${formatPrice(price)}元`);
-
         // 插入 Bill 记录
         const res = await Bill.create({
           userId,

src/service/response.ts

@@ -30,13 +30,11 @@ export const jsonRes = <T = any>(
     } else if (openaiError[error?.response?.statusText]) {
       msg = openaiError[error.response.statusText];
     }
-    console.log('error->');
-    console.log('code:', error.code);
-    console.log('msg:', msg);
+    console.log(`error-> msg:${msg}`);
     // request 时候报错
     if (error?.response) {
       console.log('statusText:', error?.response?.statusText);
-      console.log('type:', error?.response?.data?.error?.type);
+      console.log('error data:', error?.response?.data);
     }
   }