new framwork

client/src/service/utils/auth.ts

@@ -0,0 +1,352 @@
+import type { NextApiRequest } from 'next';
+import jwt from 'jsonwebtoken';
+import Cookie from 'cookie';
+import { Chat, Model, OpenApi, User, ShareChat, KB } from '../mongo';
+import type { ModelSchema } from '@/types/mongoSchema';
+import type { ChatItemSimpleType } from '@/types/chat';
+import mongoose from 'mongoose';
+import { ClaudeEnum, defaultModel, embeddingModel, EmbeddingModelType } from '@/constants/model';
+import { formatPrice } from '@/utils/user';
+import { ERROR_ENUM } from '../errorCode';
+import { ChatModelType, OpenAiChatEnum } from '@/constants/model';
+import { hashPassword } from '@/service/utils/tools';
+
+export type ApiKeyType = 'training' | 'chat';
+
+export const parseCookie = (cookie?: string): Promise<string> => {
+  return new Promise((resolve, reject) => {
+    // 获取 cookie
+    const cookies = Cookie.parse(cookie || '');
+    const token = cookies.token;
+
+    if (!token) {
+      return reject(ERROR_ENUM.unAuthorization);
+    }
+
+    const key = process.env.TOKEN_KEY as string;
+
+    jwt.verify(token, key, function (err, decoded: any) {
+      if (err || !decoded?.userId) {
+        reject(ERROR_ENUM.unAuthorization);
+        return;
+      }
+      resolve(decoded.userId);
+    });
+  });
+};
+
+/* uniform auth user */
+export const authUser = async ({
+  req,
+  authToken = false,
+  authOpenApi = false,
+  authRoot = false,
+  authBalance = false
+}: {
+  req: NextApiRequest;
+  authToken?: boolean;
+  authOpenApi?: boolean;
+  authRoot?: boolean;
+  authBalance?: boolean;
+}) => {
+  const parseOpenApiKey = async (apiKey?: string) => {
+    if (!apiKey) {
+      return Promise.reject(ERROR_ENUM.unAuthorization);
+    }
+
+    try {
+      const openApi = await OpenApi.findOne({ apiKey });
+      if (!openApi) {
+        return Promise.reject(ERROR_ENUM.unAuthorization);
+      }
+      const userId = String(openApi.userId);
+
+      // 更新使用的时间
+      await OpenApi.findByIdAndUpdate(openApi._id, {
+        lastUsedTime: new Date()
+      });
+
+      return userId;
+    } catch (error) {
+      return Promise.reject(error);
+    }
+  };
+  const parseRootKey = async (rootKey?: string, userId = '') => {
+    if (!rootKey || !process.env.ROOT_KEY || rootKey !== process.env.ROOT_KEY) {
+      return Promise.reject(ERROR_ENUM.unAuthorization);
+    }
+    return userId;
+  };
+
+  const { cookie, apikey, rootkey, userid } = (req.headers || {}) as {
+    cookie?: string;
+    apikey?: string;
+    rootkey?: string;
+    userid?: string;
+  };
+
+  let uid = '';
+
+  if (authToken) {
+    uid = await parseCookie(cookie);
+  } else if (authOpenApi) {
+    uid = await parseOpenApiKey(apikey);
+  } else if (authRoot) {
+    uid = await parseRootKey(rootkey, userid);
+  } else if (cookie) {
+    uid = await parseCookie(cookie);
+  } else if (apikey) {
+    uid = await parseOpenApiKey(apikey);
+  } else if (rootkey) {
+    uid = await parseRootKey(rootkey, userid);
+  } else {
+    return Promise.reject(ERROR_ENUM.unAuthorization);
+  }
+
+  if (authBalance) {
+    const user = await User.findById(uid);
+    if (!user) {
+      return Promise.reject(ERROR_ENUM.unAuthorization);
+    }
+
+    if (!user.openaiKey && formatPrice(user.balance) <= 0) {
+      return Promise.reject(ERROR_ENUM.insufficientQuota);
+    }
+  }
+
+  return {
+    userId: uid
+  };
+};
+
+/* random get openai api key */
+export const getSystemOpenAiKey = (type: ApiKeyType) => {
+  const keys = (() => {
+    if (type === 'training') {
+      return process.env.OPENAI_TRAINING_KEY?.split(',') || [];
+    }
+    return process.env.OPENAIKEY?.split(',') || [];
+  })();
+
+  // 纯字符串类型
+  const i = Math.floor(Math.random() * keys.length);
+  return keys[i] || (process.env.OPENAIKEY as string);
+};
+
+/* 获取 api 请求的 key */
+export const getApiKey = async ({
+  model,
+  userId,
+  mustPay = false,
+  type = 'chat'
+}: {
+  model: ChatModelType;
+  userId: string;
+  mustPay?: boolean;
+  type?: ApiKeyType;
+}) => {
+  const user = await User.findById(userId);
+  if (!user) {
+    return Promise.reject(ERROR_ENUM.unAuthorization);
+  }
+
+  const keyMap = {
+    [OpenAiChatEnum.GPT35]: {
+      userOpenAiKey: user.openaiKey || '',
+      systemAuthKey: getSystemOpenAiKey(type) as string
+    },
+    [OpenAiChatEnum.GPT4]: {
+      userOpenAiKey: user.openaiKey || '',
+      systemAuthKey: process.env.GPT4KEY as string
+    },
+    [OpenAiChatEnum.GPT432k]: {
+      userOpenAiKey: user.openaiKey || '',
+      systemAuthKey: process.env.GPT4KEY as string
+    },
+    [ClaudeEnum.Claude]: {
+      userOpenAiKey: '',
+      systemAuthKey: process.env.CLAUDE_KEY as string
+    }
+  };
+
+  // 有自己的key
+  if (!mustPay && keyMap[model].userOpenAiKey) {
+    return {
+      user,
+      userOpenAiKey: keyMap[model].userOpenAiKey,
+      systemAuthKey: ''
+    };
+  }
+
+  // 平台账号余额校验
+  if (formatPrice(user.balance) <= 0) {
+    return Promise.reject(ERROR_ENUM.insufficientQuota);
+  }
+
+  return {
+    user,
+    userOpenAiKey: '',
+    systemAuthKey: keyMap[model].systemAuthKey
+  };
+};
+
+// 模型使用权校验
+export const authModel = async ({
+  modelId,
+  userId,
+  authUser = true,
+  authOwner = true,
+  reserveDetail = false
+}: {
+  modelId: string;
+  userId: string;
+  authUser?: boolean;
+  authOwner?: boolean;
+  reserveDetail?: boolean; // focus reserve detail
+}) => {
+  // 获取 model 数据
+  const model = await Model.findById<ModelSchema>(modelId);
+  if (!model) {
+    return Promise.reject('模型不存在');
+  }
+
+  /* 
+    Access verification
+    1. authOwner=true or authUser = true ,  just owner can use
+    2. authUser = false and share, anyone can use
+  */
+  if (authOwner || (authUser && !model.share.isShare)) {
+    if (userId !== String(model.userId)) return Promise.reject(ERROR_ENUM.unAuthModel);
+  }
+
+  // do not share detail info
+  if (!reserveDetail && !model.share.isShareDetail && userId !== String(model.userId)) {
+    model.chat = {
+      ...defaultModel.chat,
+      chatModel: model.chat.chatModel
+    };
+  }
+
+  return {
+    model,
+    showModelDetail: model.share.isShareDetail || userId === String(model.userId)
+  };
+};
+
+// 知识库操作权限
+export const authKb = async ({ kbId, userId }: { kbId: string; userId: string }) => {
+  const kb = await KB.findOne({
+    _id: kbId,
+    userId
+  });
+  if (kb) {
+    return kb;
+  }
+  return Promise.reject(ERROR_ENUM.unAuthKb);
+};
+
+// 获取对话校验
+export const authChat = async ({
+  modelId,
+  chatId,
+  req
+}: {
+  modelId: string;
+  chatId?: string;
+  req: NextApiRequest;
+}) => {
+  const { userId } = await authUser({ req, authToken: true });
+
+  // 获取 model 数据
+  const { model, showModelDetail } = await authModel({
+    modelId,
+    userId,
+    authOwner: false,
+    reserveDetail: true
+  });
+
+  // 聊天内容
+  let content: ChatItemSimpleType[] = [];
+
+  if (chatId) {
+    // 获取 chat 数据
+    content = await Chat.aggregate([
+      { $match: { _id: new mongoose.Types.ObjectId(chatId) } },
+      {
+        $project: {
+          content: {
+            $slice: ['$content', -50] // 返回 content 数组的最后50个元素
+          }
+        }
+      },
+      { $unwind: '$content' },
+      {
+        $project: {
+          obj: '$content.obj',
+          value: '$content.value',
+          quote: '$content.quote'
+        }
+      }
+    ]);
+  }
+  // 获取 user 的 apiKey
+  const { userOpenAiKey, systemAuthKey } = await getApiKey({
+    model: model.chat.chatModel,
+    userId
+  });
+
+  return {
+    userOpenAiKey,
+    systemAuthKey,
+    content,
+    userId,
+    model,
+    showModelDetail
+  };
+};
+export const authShareChat = async ({
+  shareId,
+  password
+}: {
+  shareId: string;
+  password: string;
+}) => {
+  // get shareChat
+  const shareChat = await ShareChat.findById(shareId);
+
+  if (!shareChat) {
+    return Promise.reject('分享链接已失效');
+  }
+
+  if (shareChat.password !== hashPassword(password)) {
+    return Promise.reject({
+      code: 501,
+      message: '密码不正确'
+    });
+  }
+
+  const modelId = String(shareChat.modelId);
+  const userId = String(shareChat.userId);
+
+  // 获取 model 数据
+  const { model, showModelDetail } = await authModel({
+    modelId,
+    userId,
+    authOwner: false,
+    reserveDetail: true
+  });
+
+  // 获取 user 的 apiKey
+  const { userOpenAiKey, systemAuthKey } = await getApiKey({
+    model: model.chat.chatModel,
+    userId
+  });
+
+  return {
+    userOpenAiKey,
+    systemAuthKey,
+    userId,
+    model,
+    showModelDetail
+  };
+};

client/src/service/utils/chat/claude.ts

@@ -0,0 +1,77 @@
+import { ChatCompletionType, StreamResponseType } from './index';
+import { ChatRoleEnum } from '@/constants/chat';
+import axios from 'axios';
+
+/* 模型对话 */
+export const claudChat = async ({ apiKey, messages, stream, chatId }: ChatCompletionType) => {
+  // get system prompt
+  const systemPrompt = messages
+    .filter((item) => item.obj === 'System')
+    .map((item) => item.value)
+    .join('\n');
+  const systemPromptText = systemPrompt ? `你本次知识:${systemPrompt}\n下面是我的问题:` : '';
+
+  const prompt = `${systemPromptText}'${messages[messages.length - 1].value}'`;
+
+  const response = await axios.post(
+    process.env.CLAUDE_BASE_URL || '',
+    {
+      prompt,
+      stream,
+      conversationId: chatId
+    },
+    {
+      headers: {
+        Authorization: apiKey
+      },
+      timeout: stream ? 60000 : 240000,
+      responseType: stream ? 'stream' : 'json'
+    }
+  );
+
+  const responseText = stream ? '' : response.data?.text || '';
+
+  return {
+    streamResponse: response,
+    responseMessages: messages.concat({
+      obj: ChatRoleEnum.AI,
+      value: responseText
+    }),
+    responseText,
+    totalTokens: 0
+  };
+};
+
+/* openai stream response */
+export const claudStreamResponse = async ({ res, chatResponse, prompts }: StreamResponseType) => {
+  try {
+    let responseContent = '';
+
+    try {
+      const decoder = new TextDecoder();
+      for await (const chunk of chatResponse.data as any) {
+        if (res.closed) {
+          break;
+        }
+        const content = decoder.decode(chunk);
+        responseContent += content;
+        content && res.write(content);
+      }
+    } catch (error) {
+      console.log('pipe error', error);
+    }
+
+    const finishMessages = prompts.concat({
+      obj: ChatRoleEnum.AI,
+      value: responseContent
+    });
+
+    return {
+      responseContent,
+      totalTokens: 0,
+      finishMessages
+    };
+  } catch (error) {
+    return Promise.reject(error);
+  }
+};

client/src/service/utils/chat/index.ts

@@ -0,0 +1,167 @@
+import { ChatItemSimpleType } from '@/types/chat';
+import { modelToolMap } from '@/utils/plugin';
+import type { ChatModelType } from '@/constants/model';
+import { ChatRoleEnum } from '@/constants/chat';
+import { OpenAiChatEnum, ClaudeEnum } from '@/constants/model';
+import { chatResponse, openAiStreamResponse } from './openai';
+import { claudChat, claudStreamResponse } from './claude';
+import type { NextApiResponse } from 'next';
+
+export type ChatCompletionType = {
+  apiKey: string;
+  temperature: number;
+  messages: ChatItemSimpleType[];
+  chatId?: string;
+  [key: string]: any;
+};
+export type ChatCompletionResponseType = {
+  streamResponse: any;
+  responseMessages: ChatItemSimpleType[];
+  responseText: string;
+  totalTokens: number;
+};
+export type StreamResponseType = {
+  chatResponse: any;
+  prompts: ChatItemSimpleType[];
+  res: NextApiResponse;
+  [key: string]: any;
+};
+export type StreamResponseReturnType = {
+  responseContent: string;
+  totalTokens: number;
+  finishMessages: ChatItemSimpleType[];
+};
+
+export const modelServiceToolMap: Record<
+  ChatModelType,
+  {
+    chatCompletion: (data: ChatCompletionType) => Promise<ChatCompletionResponseType>;
+    streamResponse: (data: StreamResponseType) => Promise<StreamResponseReturnType>;
+  }
+> = {
+  [OpenAiChatEnum.GPT35]: {
+    chatCompletion: (data: ChatCompletionType) =>
+      chatResponse({ model: OpenAiChatEnum.GPT35, ...data }),
+    streamResponse: (data: StreamResponseType) =>
+      openAiStreamResponse({
+        model: OpenAiChatEnum.GPT35,
+        ...data
+      })
+  },
+  [OpenAiChatEnum.GPT4]: {
+    chatCompletion: (data: ChatCompletionType) =>
+      chatResponse({ model: OpenAiChatEnum.GPT4, ...data }),
+    streamResponse: (data: StreamResponseType) =>
+      openAiStreamResponse({
+        model: OpenAiChatEnum.GPT4,
+        ...data
+      })
+  },
+  [OpenAiChatEnum.GPT432k]: {
+    chatCompletion: (data: ChatCompletionType) =>
+      chatResponse({ model: OpenAiChatEnum.GPT432k, ...data }),
+    streamResponse: (data: StreamResponseType) =>
+      openAiStreamResponse({
+        model: OpenAiChatEnum.GPT432k,
+        ...data
+      })
+  },
+  [ClaudeEnum.Claude]: {
+    chatCompletion: claudChat,
+    streamResponse: claudStreamResponse
+  }
+};
+
+/* delete invalid symbol */
+const simplifyStr = (str: string) =>
+  str
+    .replace(/\n+/g, '\n') // 连续空行
+    .replace(/[^\S\r\n]+/g, ' ') // 连续空白内容
+    .trim();
+
+/* 聊天上下文 tokens 截断 */
+export const ChatContextFilter = ({
+  model,
+  prompts,
+  maxTokens
+}: {
+  model: ChatModelType;
+  prompts: ChatItemSimpleType[];
+  maxTokens: number;
+}) => {
+  const systemPrompts: ChatItemSimpleType[] = [];
+  const chatPrompts: ChatItemSimpleType[] = [];
+
+  let rawTextLen = 0;
+  prompts.forEach((item) => {
+    const val = simplifyStr(item.value);
+    rawTextLen += val.length;
+
+    const data = {
+      obj: item.obj,
+      value: val
+    };
+
+    if (item.obj === ChatRoleEnum.System) {
+      systemPrompts.push(data);
+    } else {
+      chatPrompts.push(data);
+    }
+  });
+
+  // 长度太小时，不需要进行 token 截断
+  if (rawTextLen < maxTokens * 0.5) {
+    return [...systemPrompts, ...chatPrompts];
+  }
+
+  // 去掉 system 的 token
+  maxTokens -= modelToolMap[model].countTokens({
+    messages: systemPrompts
+  });
+
+  // 根据 tokens 截断内容
+  const chats: ChatItemSimpleType[] = [];
+
+  // 从后往前截取对话内容
+  for (let i = chatPrompts.length - 1; i >= 0; i--) {
+    chats.unshift(chatPrompts[i]);
+
+    const tokens = modelToolMap[model].countTokens({
+      messages: chats
+    });
+
+    /* 整体 tokens 超出范围, system必须保留 */
+    if (tokens >= maxTokens) {
+      chats.shift();
+      break;
+    }
+  }
+
+  return [...systemPrompts, ...chats];
+};
+
+/* stream response */
+export const resStreamResponse = async ({
+  model,
+  res,
+  chatResponse,
+  prompts
+}: StreamResponseType & {
+  model: ChatModelType;
+}) => {
+  // 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');
+
+  const { responseContent, totalTokens, finishMessages } = await modelServiceToolMap[
+    model
+  ].streamResponse({
+    chatResponse,
+    prompts,
+    res
+  });
+
+  return { responseContent, totalTokens, finishMessages };
+};

client/src/service/utils/chat/openai.ts

@@ -0,0 +1,120 @@
+import { Configuration, OpenAIApi } from 'openai';
+import { createParser, ParsedEvent, ReconnectInterval } from 'eventsource-parser';
+import { axiosConfig } from '../tools';
+import { ChatModelMap, OpenAiChatEnum } from '@/constants/model';
+import { adaptChatItem_openAI } from '@/utils/plugin/openai';
+import { modelToolMap } from '@/utils/plugin';
+import { ChatCompletionType, ChatContextFilter, StreamResponseType } from './index';
+import { ChatRoleEnum } from '@/constants/chat';
+
+export const getOpenAIApi = () =>
+  new OpenAIApi(
+    new Configuration({
+      basePath: process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1'
+    })
+  );
+
+/* 模型对话 */
+export const chatResponse = async ({
+  model,
+  apiKey,
+  temperature,
+  messages,
+  stream
+}: ChatCompletionType & { model: `${OpenAiChatEnum}` }) => {
+  const filterMessages = ChatContextFilter({
+    model,
+    prompts: messages,
+    maxTokens: Math.ceil(ChatModelMap[model].contextMaxToken * 0.85)
+  });
+
+  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages });
+  const chatAPI = getOpenAIApi();
+
+  const response = await chatAPI.createChatCompletion(
+    {
+      model,
+      temperature: Number(temperature) || 0,
+      messages: adaptMessages,
+      frequency_penalty: 0.5, // 越大，重复内容越少
+      presence_penalty: -0.5, // 越大，越容易出现新内容
+      stream,
+      stop: ['.!?。']
+    },
+    {
+      timeout: stream ? 60000 : 240000,
+      responseType: stream ? 'stream' : 'json',
+      ...axiosConfig(apiKey)
+    }
+  );
+
+  const responseText = stream ? '' : response.data.choices[0].message?.content || '';
+  const totalTokens = stream ? 0 : response.data.usage?.total_tokens || 0;
+
+  return {
+    streamResponse: response,
+    responseMessages: filterMessages.concat({ obj: 'AI', value: responseText }),
+    responseText,
+    totalTokens
+  };
+};
+
+/* openai stream response */
+export const openAiStreamResponse = async ({
+  res,
+  model,
+  chatResponse,
+  prompts
+}: StreamResponseType & {
+  model: `${OpenAiChatEnum}`;
+}) => {
+  try {
+    let responseContent = '';
+
+    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 || '';
+        responseContent += content;
+
+        !res.closed && content && res.write(content);
+      } catch (error) {
+        error;
+      }
+    };
+
+    try {
+      const decoder = new TextDecoder();
+      const parser = createParser(onParse);
+      for await (const chunk of chatResponse.data as any) {
+        if (res.closed) {
+          break;
+        }
+        parser.feed(decoder.decode(chunk, { stream: true }));
+      }
+    } catch (error) {
+      console.log('pipe error', error);
+    }
+
+    // count tokens
+    const finishMessages = prompts.concat({
+      obj: ChatRoleEnum.AI,
+      value: responseContent
+    });
+
+    const totalTokens = modelToolMap[model].countTokens({
+      messages: finishMessages
+    });
+
+    return {
+      responseContent,
+      totalTokens,
+      finishMessages
+    };
+  } catch (error) {
+    return Promise.reject(error);
+  }
+};

client/src/service/utils/promotion.ts

@@ -0,0 +1,36 @@
+import { promotionRecord } from '../mongo';
+
+export const pushPromotionRecord = async ({
+  userId,
+  objUId,
+  type,
+  amount
+}: {
+  userId: string;
+  objUId: string;
+  type: 'invite' | 'shareModel';
+  amount: number;
+}) => {
+  try {
+    await promotionRecord.create({
+      userId,
+      objUId,
+      type,
+      amount
+    });
+  } catch (error) {
+    console.log('创建推广记录异常', error);
+  }
+};
+
+export const withdrawRecord = async ({ userId, amount }: { userId: string; amount: number }) => {
+  try {
+    await promotionRecord.create({
+      userId,
+      type: 'withdraw',
+      amount
+    });
+  } catch (error) {
+    console.log('提现记录异常', error);
+  }
+};

client/src/service/utils/sendNote.ts

@@ -0,0 +1,71 @@
+import * as nodemailer from 'nodemailer';
+import { UserAuthTypeEnum } from '@/constants/common';
+import Dysmsapi, * as dysmsapi from '@alicloud/dysmsapi20170525';
+// @ts-ignore
+import * as OpenApi from '@alicloud/openapi-client';
+// @ts-ignore
+import * as Util from '@alicloud/tea-util';
+
+const myEmail = process.env.MY_MAIL;
+const mailTransport = nodemailer.createTransport({
+  // host: 'smtp.qq.phone',
+  service: 'qq',
+  secure: true, //安全方式发送,建议都加上
+  auth: {
+    user: myEmail,
+    pass: process.env.MAILE_CODE
+  }
+});
+
+const emailMap: { [key: string]: any } = {
+  [UserAuthTypeEnum.register]: {
+    subject: '注册 FastGPT 账号',
+    html: (code: string) => `<div>您正在注册 FastGPT 账号，验证码为：${code}</div>`
+  },
+  [UserAuthTypeEnum.findPassword]: {
+    subject: '修改 FastGPT 密码',
+    html: (code: string) => `<div>您正在修改 FastGPT 账号密码，验证码为：${code}</div>`
+  }
+};
+
+export const sendEmailCode = (email: string, code: string, type: `${UserAuthTypeEnum}`) => {
+  return new Promise((resolve, reject) => {
+    const options = {
+      from: `"FastGPT" ${myEmail}`,
+      to: email,
+      subject: emailMap[type]?.subject,
+      html: emailMap[type]?.html(code)
+    };
+    mailTransport.sendMail(options, function (err, msg) {
+      if (err) {
+        console.log('send email error->', err);
+        reject('发生邮件异常');
+      } else {
+        resolve('');
+      }
+    });
+  });
+};
+
+export const sendPhoneCode = async (phone: string, code: string) => {
+  const accessKeyId = process.env.aliAccessKeyId;
+  const accessKeySecret = process.env.aliAccessKeySecret;
+  const signName = process.env.aliSignName;
+  const templateCode = process.env.aliTemplateCode;
+  const endpoint = 'dysmsapi.aliyuncs.com';
+
+  const sendSmsRequest = new dysmsapi.SendSmsRequest({
+    phoneNumbers: phone,
+    signName,
+    templateCode,
+    templateParam: `{"code":${code}}`
+  });
+
+  const config = new OpenApi.Config({ accessKeyId, accessKeySecret, endpoint });
+  const client = new Dysmsapi(config);
+  const runtime = new Util.RuntimeOptions({});
+  const res = await client.sendSmsWithOptions(sendSmsRequest, runtime);
+  if (res.body.code !== 'OK') {
+    return Promise.reject(res.body.message || '发送短信失败');
+  }
+};

client/src/service/utils/tools.ts

@@ -0,0 +1,72 @@
+import type { NextApiResponse, NextApiHandler, NextApiRequest } from 'next';
+import NextCors from 'nextjs-cors';
+import crypto from 'crypto';
+import jwt from 'jsonwebtoken';
+import { generateQA } from '../events/generateQA';
+import { generateVector } from '../events/generateVector';
+
+/* 密码加密 */
+export const hashPassword = (psw: string) => {
+  return crypto.createHash('sha256').update(psw).digest('hex');
+};
+
+/* 生成 token */
+export const generateToken = (userId: string) => {
+  const key = process.env.TOKEN_KEY as string;
+  const token = jwt.sign(
+    {
+      userId,
+      exp: Math.floor(Date.now() / 1000) + 60 * 60 * 24 * 7
+    },
+    key
+  );
+  return token;
+};
+
+/* set cookie */
+export const setCookie = (res: NextApiResponse, userId: string) => {
+  res.setHeader('Set-Cookie', `token=${generateToken(userId)}; Path=/; HttpOnly; Max-Age=604800`);
+};
+/* clear cookie */
+export const clearCookie = (res: NextApiResponse) => {
+  res.setHeader('Set-Cookie', 'token=; Path=/; Max-Age=0');
+};
+
+/* openai axios config */
+export const axiosConfig = (apikey: string) => ({
+  baseURL: process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1',
+  httpsAgent: global.httpsAgent,
+  headers: {
+    Authorization: `Bearer ${apikey}`,
+    auth: process.env.OPENAI_BASE_URL_AUTH || ''
+  }
+});
+
+export function withNextCors(handler: NextApiHandler): NextApiHandler {
+  return async function nextApiHandlerWrappedWithNextCors(
+    req: NextApiRequest,
+    res: NextApiResponse
+  ) {
+    const methods = ['GET', 'eHEAD', 'PUT', 'PATCH', 'POST', 'DELETE'];
+    const origin = req.headers.origin;
+    await NextCors(req, res, {
+      methods,
+      origin: origin,
+      optionsSuccessStatus: 200
+    });
+
+    return handler(req, res);
+  };
+}
+
+export const startQueue = () => {
+  const qaMax = Number(process.env.QA_MAX_PROCESS || 10);
+  const vectorMax = Number(process.env.VECTOR_MAX_PROCESS || 10);
+
+  for (let i = 0; i < qaMax; i++) {
+    generateQA();
+  }
+  for (let i = 0; i < vectorMax; i++) {
+    generateVector();
+  }
+};

client/src/service/utils/wxpay.ts

@@ -0,0 +1,31 @@
+// @ts-ignore
+import Payment from 'wxpay-v3';
+
+export const getPayment = () => {
+  return new Payment({
+    appid: process.env.WX_APPID,
+    mchid: process.env.WX_MCHID,
+    private_key: process.env.WX_PRIVATE_KEY?.replace(/\\n/g, '\n'),
+    serial_no: process.env.WX_SERIAL_NO,
+    apiv3_private_key: process.env.WX_V3_CODE,
+    notify_url: process.env.WX_NOTIFY_URL
+  });
+};
+
+export const nativePay = (amount: number, payId: string): Promise<string> =>
+  getPayment()
+    .native({
+      description: 'Fast GPT 余额充值',
+      out_trade_no: payId,
+      amount: {
+        total: amount
+      }
+    })
+    .then((res: any) => JSON.parse(res.data).code_url);
+
+export const getPayResult = (payId: string) =>
+  getPayment()
+    .getTransactionsByOutTradeNo({
+      out_trade_no: payId
+    })
+    .then((res: any) => JSON.parse(res.data));