feat: openapi cors

src/pages/api/openapi/chat/chat.ts

@@ -8,9 +8,10 @@ import { ChatModelMap, ModelVectorSearchModeMap } from '@/constants/model';
 import { pushChatBill } from '@/service/events/pushBill';
 import { searchKb } from '@/service/plugins/searchKb';
 import { ChatRoleEnum } from '@/constants/chat';
+import { withNextCors } from '@/service/utils/tools';
 
 /* 发送提示词 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse) {
   let step = 0; // step=1时，表示开始了流响应
   res.on('error', () => {
     console.log('error: ', 'request error');
@@ -143,4 +144,4 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       });
     }
   }
-}
+});

src/pages/api/openapi/chat/lafGpt.ts

@@ -1,184 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { connectToDatabase } from '@/service/mongo';
-import { authOpenApiKey, authModel, getApiKey } from '@/service/utils/auth';
-import { resStreamResponse, modelServiceToolMap } from '@/service/utils/chat';
-import { ChatItemSimpleType } from '@/types/chat';
-import { jsonRes } from '@/service/response';
-import { ChatModelMap, ModelVectorSearchModeMap } from '@/constants/model';
-import { pushChatBill } from '@/service/events/pushBill';
-import { searchKb } from '@/service/plugins/searchKb';
-import { ChatRoleEnum } from '@/constants/chat';
-
-/* 发送提示词 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  let step = 0; // step=1时，表示开始了流响应
-  res.on('error', () => {
-    console.log('error: ', 'request error');
-    res.end();
-  });
-
-  try {
-    const {
-      prompt,
-      modelId,
-      isStream = true
-    } = req.body as {
-      prompt: ChatItemSimpleType;
-      modelId: string;
-      isStream: boolean;
-    };
-
-    if (!prompt || !modelId) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-    let startTime = Date.now();
-
-    /* 凭证校验 */
-    const { userId } = await authOpenApiKey(req);
-
-    /* 查找数据库里的模型信息 */
-    const { model } = await authModel({
-      userId,
-      modelId
-    });
-
-    /* get api key */
-    const { systemAuthKey: apiKey } = await getApiKey({
-      model: model.chat.chatModel,
-      userId,
-      mustPay: true
-    });
-
-    const modelConstantsData = ChatModelMap[model.chat.chatModel];
-
-    console.log('laf gpt start');
-
-    // 请求一次 chatgpt 拆解需求
-    const { responseText: resolveText, totalTokens: resolveTokens } = await modelServiceToolMap[
-      model.chat.chatModel
-    ].chatCompletion({
-      apiKey,
-      temperature: 0,
-      messages: [
-        {
-          obj: ChatRoleEnum.System,
-          value: `服务端逻辑生成器.根据用户输入的需求,拆解成 laf 云函数实现的步骤,只返回步骤,按格式返回步骤: 1.\n2.\n3.\n ......
-下面是一些例子:
-一个 hello world 例子
-1. 返回字符串: "hello world"
-
-计算圆的面积
-1. 从 body 中获取半径 radius.
-2. 校验 radius 是否为有效的数字.
-3. 计算圆的面积.
-4. 返回圆的面积: {area} 
-
-实现一个手机号发生注册验证码方法.
-1. 从 query 中获取 phone.
-2. 校验手机号格式是否正确,不正确则返回错误原因:手机号格式错误.
-3. 给 phone 发送一个短信验证码,验证码长度为6位字符串,内容为:你正在注册laf,验证码为:code.
-4. 数据库添加数据,表为"codes",内容为 {phone, code}.
-
-实现一个云函数，使用手机号注册账号,需要验证手机验证码.
-1. 从 body 中获取 phone 和 code.
-2. 校验手机号格式是否正确,不正确则返回错误原因:手机号格式错误.
-2. 获取数据库数据,表为"codes",查找是否有符合 phone, code 等于body参数的记录,没有的话返回错误原因:验证码不正确.
-4. 添加数据库数据,表为"users" ,内容为{phone, code, createTime}.
-5. 删除数据库数据,删除 code 记录.
-6. 返回新建用户的Id: return {userId}
-
-更新博客记录。传入blogId,blogText,tags,还需要记录更新的时间.
-1. 从 body 中获取 blogId,blogText 和 tags.
-2. 校验 blogId 是否为空,为空则返回错误原因:博客ID不能为空.
-3. 校验 blogText 是否为空,为空则返回错误原因:博客内容不能为空.
-4. 校验 tags 是否为数组,不是则返回错误原因:标签必须为数组.
-5. 获取当前时间,记录为 updateTime.
-6. 更新数据库数据,表为"blogs",更新符合 blogId 的记录的内容为{blogText, tags, updateTime}.
-7. 返回结果 "更新博客记录成功"`
-        },
-        {
-          obj: ChatRoleEnum.Human,
-          value: prompt.value
-        }
-      ],
-      stream: false
-    });
-
-    prompt.value += ` ${resolveText}`;
-    console.log('prompt resolve success, time:', `${(Date.now() - startTime) / 1000}s`);
-
-    // 读取对话内容
-    const prompts = [prompt];
-
-    // 获取向量匹配到的提示词
-    const { searchPrompts } = await searchKb({
-      similarity: ModelVectorSearchModeMap[model.chat.searchMode]?.similarity,
-      prompts,
-      model,
-      userId
-    });
-
-    prompts.splice(prompts.length - 1, 0, ...searchPrompts);
-
-    // 计算温度
-    const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
-      2
-    );
-
-    // 发出请求
-    const { streamResponse, responseMessages, responseText, totalTokens } =
-      await modelServiceToolMap[model.chat.chatModel].chatCompletion({
-        apiKey,
-        temperature: +temperature,
-        messages: prompts,
-        stream: isStream
-      });
-
-    console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
-
-    let textLen = resolveText.length;
-    let tokens = resolveTokens;
-
-    if (isStream) {
-      step = 1;
-      const { finishMessages, totalTokens } = await resStreamResponse({
-        model: model.chat.chatModel,
-        res,
-        chatResponse: streamResponse,
-        prompts
-      });
-      textLen += finishMessages.map((item) => item.value).join('').length;
-      tokens += totalTokens;
-    } else {
-      textLen += responseMessages.map((item) => item.value).join('').length;
-      tokens += totalTokens;
-      jsonRes(res, {
-        data: responseText
-      });
-    }
-
-    console.log('laf gpt done. time:', `${(Date.now() - startTime) / 1000}s`);
-
-    pushChatBill({
-      isPay: true,
-      chatModel: model.chat.chatModel,
-      userId,
-      textLen,
-      tokens
-    });
-  } catch (err: any) {
-    if (step === 1) {
-      // 直接结束流
-      console.log('error，结束');
-      res.end();
-    } else {
-      res.status(500);
-      jsonRes(res, {
-        code: 500,
-        error: err
-      });
-    }
-  }
-}

src/pages/api/openapi/kb/delDataById.ts

@@ -2,8 +2,9 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { authToken } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
+import { withNextCors } from '@/service/utils/tools';
 
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
     let { dataId } = req.query as {
       dataId: string;
@@ -28,4 +29,4 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       error: err
     });
   }
-}
+});

src/pages/api/openapi/kb/pushData.ts

@@ -6,8 +6,9 @@ import { authToken } from '@/service/utils/auth';
 import { generateVector } from '@/service/events/generateVector';
 import { PgClient } from '@/service/pg';
 import { authKb } from '@/service/utils/auth';
+import { withNextCors } from '@/service/utils/tools';
 
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
     const {
       kbId,
@@ -89,4 +90,4 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       error: err
     });
   }
-}
+});

src/pages/api/openapi/kb/updateData.ts

@@ -4,8 +4,9 @@ import { authToken } from '@/service/utils/auth';
 import { ModelDataStatusEnum } from '@/constants/model';
 import { generateVector } from '@/service/events/generateVector';
 import { PgClient } from '@/service/pg';
+import { withNextCors } from '@/service/utils/tools';
 
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
     const { dataId, a, q } = req.body as { dataId: string; a: string; q?: string };
 
@@ -39,4 +40,4 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       error: err
     });
   }
-}
+});

src/pages/api/openapi/text/splitText.ts

@@ -6,9 +6,10 @@ import { generateVector } from '@/service/events/generateVector';
 import { generateQA } from '@/service/events/generateQA';
 import { PgClient } from '@/service/pg';
 import { SplitTextTypEnum } from '@/constants/plugin';
+import { withNextCors } from '@/service/utils/tools';
 
 /* split text */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
     const { chunks, kbId, prompt, mode } = req.body as {
       kbId: string;
@@ -62,7 +63,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       error: err
     });
   }
-}
+});
 
 export const config = {
   api: {