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4
.gitignore
vendored
4
.gitignore
vendored
@@ -34,6 +34,6 @@ yarn-error.log*
|
||||
# typescript
|
||||
*.tsbuildinfo
|
||||
next-env.d.ts
|
||||
public/trainData/
|
||||
.vscode/
|
||||
/public/trainData/
|
||||
/.vscode/
|
||||
platform.json
|
||||
5
.vscode/settings.json
vendored
5
.vscode/settings.json
vendored
@@ -1,5 +0,0 @@
|
||||
{
|
||||
"editor.formatOnType": true,
|
||||
"editor.formatOnSave": true ,
|
||||
"prettier.tabWidth": 2
|
||||
}
|
||||
6
Makefile
6
Makefile
@@ -1,4 +1,4 @@
|
||||
SERVICE_NAME=doc-gpt
|
||||
SERVICE_NAME=fast-gpt
|
||||
# Image URL to use all building/pushing image targets
|
||||
IMG ?= $(SERVICE_NAME):latest
|
||||
|
||||
@@ -34,13 +34,13 @@ run: ## Run a dev service from host.
|
||||
|
||||
.PHONY: docker-build
|
||||
docker-build: ## Build docker image with the desktop-frontend.
|
||||
docker build -t c121914yu/doc-gpt:latest .
|
||||
docker build -t c121914yu/fast-gpt:latest .
|
||||
|
||||
##@ Deployment
|
||||
|
||||
.PHONY: docker-run
|
||||
docker-run: ## Push docker image.
|
||||
docker run -d -p 8008:3000 --name doc-gpt -v /web_project/yjl/doc-gpt/logs:/app/.next/logs c121914yu/doc-gpt:latest
|
||||
docker run -d -p 8008:3000 --name fast-gpt -v /web_project/yjl/fast-gpt/logs:/app/.next/logs c121914yu/fast-gpt:latest
|
||||
|
||||
#TODO: add support of docker push
|
||||
|
||||
|
||||
128
README.md
128
README.md
@@ -1,4 +1,6 @@
|
||||
# Doc GPT
|
||||
# Fast GPT
|
||||
|
||||
Fast GPT 允许你是用自己的 openai API KEY 来快速的调用 openai 接口,包括 GPT3 及其微调方法,以及最新的 gpt3.5 接口。
|
||||
|
||||
## 初始化
|
||||
复制 .env.template 成 .env.local ,填写核心参数
|
||||
@@ -6,68 +8,96 @@
|
||||
```
|
||||
AXIOS_PROXY_HOST=axios代理地址,目前 openai 接口都需要走代理,本机的话就填 127.0.0.1
|
||||
AXIOS_PROXY_PORT=代理端口
|
||||
MONGODB_URI=mongo数据库地址
|
||||
MONGODB_URI=mongo数据库地址(例如:mongodb://username:password@ip:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&directConnection=true&ssl=false)
|
||||
MY_MAIL=发送验证码邮箱
|
||||
MAILE_CODE=邮箱秘钥
|
||||
MAILE_CODE=邮箱秘钥(代理里设置的是QQ邮箱,不知道怎么找这个 code 的,可以百度搜"nodemailer发送邮件")
|
||||
TOKEN_KEY=随便填一个,用于生成和校验token
|
||||
```
|
||||
|
||||
```bash
|
||||
pnpm dev
|
||||
```
|
||||
|
||||
## 部署
|
||||
```bash
|
||||
# 本地 docker 打包
|
||||
docker build -t imageName .
|
||||
docker push imageName
|
||||
|
||||
# 服务器拉取部署
|
||||
docker pull imageName
|
||||
docker stop doc-gpt || true
|
||||
docker rm doc-gpt || true
|
||||
# 运行时才把参数写入
|
||||
docker run -d --network=host --name doc-gpt -e AXIOS_PROXY_HOST= -e AXIOS_PROXY_PORT= -e MAILE_CODE= -e TOKEN_KEY= -e MONGODB_URI= imageName
|
||||
```
|
||||
|
||||
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
|
||||
|
||||
# 介绍页
|
||||
## 部署
|
||||
|
||||
## 欢迎使用 Doc GPT
|
||||
### docker 模式
|
||||
请准备好 docker, mongo,代理, 和nginx。 镜像走本机的代理,所以用 network=host,port 改成代理的端口,clash 一般都是 7890。
|
||||
|
||||
时间比较赶,介绍没来得及完善,先直接上怎么使用:
|
||||
#### docker 打包
|
||||
```bash
|
||||
docker build -t imageName:tag .
|
||||
docker push imageName:tag
|
||||
```
|
||||
|
||||
1. 使用邮箱注册账号。
|
||||
2. 进入账号页面,添加关联账号,目前只有 openai 的账号可以添加,直接去 openai 官网,把 API Key 粘贴过来。
|
||||
3. 进入模型页,创建一个模型,建议直接用 ChatGPT。
|
||||
4. 在模型列表点击【对话】,即可使用 API 进行聊天。
|
||||
#### 服务器拉取镜像和运行
|
||||
```bash
|
||||
# 服务器拉取部署, imageName 替换成镜像名
|
||||
docker pull imageName:tag
|
||||
docker stop fast-gpt || true
|
||||
docker rm fast-gpt || true
|
||||
docker run -d --network=host --name fast-gpt \
|
||||
-e AXIOS_PROXY_HOST=127.0.0.1 \
|
||||
-e AXIOS_PROXY_PORT=7890 \
|
||||
-e MY_MAIL=your email\
|
||||
-e MAILE_CODE=your email code \
|
||||
-e TOKEN_KEY=任意一个内容 \
|
||||
-e MONGODB_URI="mongodb://user:password@127.0.0.0:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&ssl=false" \
|
||||
imageName:tag
|
||||
```
|
||||
|
||||
### 模型配置
|
||||
#### 软件教程:docker 安装
|
||||
```bash
|
||||
# 安装docker
|
||||
curl -sSL https://get.daocloud.io/docker | sh
|
||||
sudo systemctl start docker
|
||||
```
|
||||
|
||||
1. **提示语**:会在每个对话框的第一句自动加入,用于限定该模型的对话内容。
|
||||
#### 软件教程:mongo 安装
|
||||
```bash
|
||||
docker pull mongo:6.0.4
|
||||
docker stop mongo
|
||||
docker rm mongo
|
||||
docker run -d --name mongo \
|
||||
-e MONGO_INITDB_ROOT_USERNAME= \
|
||||
-e MONGO_INITDB_ROOT_PASSWORD= \
|
||||
-v /root/service/mongo:/data/db \
|
||||
mongo:6.0.4
|
||||
|
||||
# 检查 mongo 运行情况, 有成功的 logs 代表访问成功
|
||||
docker logs mongo
|
||||
```
|
||||
#### 软件教程: clash 代理
|
||||
```bash
|
||||
# 下载包
|
||||
curl https://glados.rocks/tools/clash-linux.zip -o clash.zip
|
||||
# 解压
|
||||
unzip clash.zip
|
||||
# 下载终端配置⽂件(改成自己配置文件路径)
|
||||
curl https://update.glados-config.com/clash/98980/8f30944/70870/glados-terminal.yaml > config.yaml
|
||||
# 赋予运行权限
|
||||
chmod +x ./clash-linux-amd64-v1.10.0
|
||||
# 记得配置端口变量:
|
||||
export ALL_PROXY=socks5://127.0.0.1:7891
|
||||
export http_proxy=http://127.0.0.1:7890
|
||||
export https_proxy=http://127.0.0.1:7890
|
||||
export HTTP_PROXY=http://127.0.0.1:7890
|
||||
export HTTPS_PROXY=http://127.0.0.1:7890
|
||||
|
||||
2. **单句最大长度**:每个聊天,单次输入内容的最大长度。
|
||||
# 运行脚本: 删除clash - 到 clash 目录 - 删除缓存 - 执行运行
|
||||
# 会生成一个 nohup.out 文件,可以看到 clash 的 logs
|
||||
OLD_PROCESS=$(pgrep clash)
|
||||
if [ ! -z "$OLD_PROCESS" ]; then
|
||||
echo "Killing old process: $OLD_PROCESS"
|
||||
kill $OLD_PROCESS
|
||||
fi
|
||||
sleep 2
|
||||
cd **/clash
|
||||
rm -f ./nohup.out || true
|
||||
rm -f ./cache.db || true
|
||||
nohup ./clash-linux-amd64-v1.10.0 -d ./ &
|
||||
echo "Restart clash"
|
||||
```
|
||||
|
||||
|
||||
3. **上下文最大长度**:每个聊天,最多的轮数除以2,建议设置为偶数。可以持续聊天,但是旧的聊天内容会被截断,AI 就不会知道被截取的内容。
|
||||
例如:上下文最大长度为6。在第 4 轮对话时,第一轮对话的内容不会被计入。
|
||||
|
||||
4. **过期时间**:生成对话框后,这个对话框多久过期。
|
||||
|
||||
5. **聊天最大加载次数**:单个对话框最多被加载几次,设置为-1代表不限制,正数代表只能加载 n 次,防止被盗刷。
|
||||
|
||||
### 对话框介绍
|
||||
|
||||
1. 每个对话框以 windowId 作为标识。
|
||||
2. 每次点击【对话】,都会生成新的对话框,无法回到旧的对话框。对话框内刷新,会恢复对话内容。
|
||||
3. 直接分享对话框(网页)的链接给朋友,会共享同一个对话内容。但是!!!千万不要两个人同时用一个链接,会串味,还没解决这个问题。
|
||||
4. 如果想分享一个纯的对话框,可以把链接里 windowId 参数去掉。例如:
|
||||
|
||||
* 当前网页链接:http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764&windowId=6402c94cb5d6283f76fb49
|
||||
* 分享链接应为:http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764
|
||||
|
||||
### 其他问题
|
||||
还有其他问题,可以加我 wx,拉个交流群大家一起聊聊。
|
||||

|
||||
#### 软件教程:Nginx
|
||||
...没写,这个百度吧。
|
||||
15
package.json
15
package.json
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"name": "docgpt",
|
||||
"name": "fastgpt",
|
||||
"version": "0.1.0",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
@@ -13,18 +13,15 @@
|
||||
"dependencies": {
|
||||
"@chakra-ui/icons": "^2.0.17",
|
||||
"@chakra-ui/react": "^2.5.1",
|
||||
"@chakra-ui/system": "^2.5.1",
|
||||
"@emotion/react": "^11.10.6",
|
||||
"@emotion/styled": "^11.10.6",
|
||||
"@next/font": "13.1.6",
|
||||
"@reduxjs/toolkit": "^1.9.3",
|
||||
"@tanstack/react-query": "^4.24.10",
|
||||
"@types/nprogress": "^0.2.0",
|
||||
"axios": "^1.3.3",
|
||||
"crypto": "^1.0.1",
|
||||
"dayjs": "^1.11.7",
|
||||
"eslint": "8.34.0",
|
||||
"eslint-config-next": "13.1.6",
|
||||
"eventsource-parser": "^0.1.0",
|
||||
"formidable": "^2.1.1",
|
||||
"framer-motion": "^9.0.6",
|
||||
"hyperdown": "^2.4.29",
|
||||
@@ -40,11 +37,12 @@
|
||||
"react-hook-form": "^7.43.1",
|
||||
"react-markdown": "^8.0.5",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"rehype-katex": "^6.0.2",
|
||||
"remark-gfm": "^3.0.1",
|
||||
"remark-math": "^5.1.1",
|
||||
"sass": "^1.58.3",
|
||||
"sharp": "^0.31.3",
|
||||
"tunnel": "^0.0.6",
|
||||
"typescript": "4.9.5",
|
||||
"uuid": "^9.0.0",
|
||||
"zustand": "^4.3.5"
|
||||
},
|
||||
@@ -58,9 +56,12 @@
|
||||
"@types/react-syntax-highlighter": "^15.5.6",
|
||||
"@types/tunnel": "^0.0.3",
|
||||
"@types/uuid": "^9.0.1",
|
||||
"eslint": "8.34.0",
|
||||
"eslint-config-next": "13.1.6",
|
||||
"husky": "^8.0.3",
|
||||
"lint-staged": "^13.1.2",
|
||||
"prettier": "^2.8.4"
|
||||
"prettier": "^2.8.4",
|
||||
"typescript": "4.9.5"
|
||||
},
|
||||
"lint-staged": {
|
||||
"./src/**/*.{ts,tsx,scss}": "npm run format"
|
||||
|
||||
692
pnpm-lock.yaml
generated
692
pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
|
Before Width: | Height: | Size: 57 KiB After Width: | Height: | Size: 57 KiB |
BIN
public/icon/logo.png
Normal file
BIN
public/icon/logo.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 38 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 33 KiB |
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|
Before Width: | Height: | Size: 117 KiB |
BIN
public/logo.png
BIN
public/logo.png
Binary file not shown.
|
Before Width: | Height: | Size: 117 KiB |
@@ -1,5 +1,6 @@
|
||||
import { GET, POST, DELETE } from './request';
|
||||
import { ChatItemType, ChatSiteType, ChatSiteItemType } from '@/types/chat';
|
||||
import axios from 'axios';
|
||||
|
||||
/**
|
||||
* 获取一个聊天框的ID
|
||||
@@ -35,28 +36,10 @@ export const postGPT3SendPrompt = ({
|
||||
});
|
||||
|
||||
/**
|
||||
* 预发 prompt 进行存储
|
||||
* 存储一轮对话
|
||||
*/
|
||||
export const postChatGptPrompt = ({
|
||||
prompt,
|
||||
windowId,
|
||||
chatId
|
||||
}: {
|
||||
prompt: ChatSiteItemType;
|
||||
windowId: string;
|
||||
chatId: string;
|
||||
}) =>
|
||||
POST<string>(`/chat/preChat`, {
|
||||
windowId,
|
||||
prompt: {
|
||||
obj: prompt.obj,
|
||||
value: prompt.value
|
||||
},
|
||||
chatId
|
||||
});
|
||||
/* 获取 Chat 的 Event 对象,进行持续通信 */
|
||||
export const getChatGPTSendEvent = (chatId: string, windowId: string) =>
|
||||
new EventSource(`/api/chat/chatGpt?chatId=${chatId}&windowId=${windowId}`);
|
||||
export const postSaveChat = (data: { windowId: string; prompts: ChatItemType[] }) =>
|
||||
POST('/chat/saveChat', data);
|
||||
|
||||
/**
|
||||
* 删除最后一句
|
||||
|
||||
47
src/api/fetch.ts
Normal file
47
src/api/fetch.ts
Normal file
@@ -0,0 +1,47 @@
|
||||
interface StreamFetchProps {
|
||||
url: string;
|
||||
data: any;
|
||||
onMessage: (text: string) => void;
|
||||
}
|
||||
export const streamFetch = ({ url, data, onMessage }: StreamFetchProps) =>
|
||||
new Promise(async (resolve, reject) => {
|
||||
try {
|
||||
const res = await fetch(url, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json'
|
||||
},
|
||||
body: JSON.stringify(data)
|
||||
});
|
||||
const reader = res.body?.getReader();
|
||||
if (!reader) return;
|
||||
const decoder = new TextDecoder();
|
||||
let responseText = '';
|
||||
|
||||
const read = async () => {
|
||||
const { done, value } = await reader?.read();
|
||||
if (done) {
|
||||
if (res.status === 200) {
|
||||
resolve(responseText);
|
||||
} else {
|
||||
try {
|
||||
const parseError = JSON.parse(responseText);
|
||||
reject(parseError?.message || '请求异常');
|
||||
} catch (err) {
|
||||
reject('请求异常');
|
||||
}
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
const text = decoder.decode(value).replace(/<br\/>/g, '\n');
|
||||
res.status === 200 && onMessage(text);
|
||||
responseText += text;
|
||||
read();
|
||||
};
|
||||
read();
|
||||
} catch (err: any) {
|
||||
console.log(err, '====');
|
||||
reject(typeof err === 'string' ? err : err?.message || '请求异常');
|
||||
}
|
||||
});
|
||||
@@ -34,7 +34,7 @@ function responseSuccess(response: AxiosResponse<ResponseDataType>) {
|
||||
*/
|
||||
function checkRes(data: ResponseDataType) {
|
||||
if (data === undefined) {
|
||||
console.log(data, 'data is empty');
|
||||
console.log('error->', data, 'data is empty');
|
||||
return Promise.reject('服务器异常');
|
||||
} else if (data.code < 200 || data.code >= 400) {
|
||||
return Promise.reject(data.message);
|
||||
@@ -46,24 +46,23 @@ function checkRes(data: ResponseDataType) {
|
||||
* 响应错误
|
||||
*/
|
||||
function responseError(err: any) {
|
||||
console.error('请求错误', err);
|
||||
console.log('error->', '请求错误', err);
|
||||
|
||||
if (!err) {
|
||||
return Promise.reject('未知错误');
|
||||
return Promise.reject({ message: '未知错误' });
|
||||
}
|
||||
if (typeof err === 'string') {
|
||||
return Promise.reject(err);
|
||||
return Promise.reject({ message: err });
|
||||
}
|
||||
if (err.response) {
|
||||
// 有报错响应
|
||||
const res = err.response;
|
||||
/* token过期,判断请求token与本地是否相同,若不同需要重发 */
|
||||
if (res.data.code in TOKEN_ERROR_CODE) {
|
||||
clearToken();
|
||||
return Promise.reject('token过期,重新登录');
|
||||
return Promise.reject({ message: 'token过期,重新登录' });
|
||||
}
|
||||
}
|
||||
return Promise.reject('未知错误');
|
||||
return Promise.reject(err);
|
||||
}
|
||||
|
||||
/* 创建请求实例 */
|
||||
|
||||
@@ -39,7 +39,7 @@ const Auth = ({ children }: { children: JSX.Element }) => {
|
||||
}
|
||||
},
|
||||
onError(error) {
|
||||
console.log(error);
|
||||
console.log('error->', error);
|
||||
router.push('/login');
|
||||
toast();
|
||||
},
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import React from 'react';
|
||||
import { Box } from '@chakra-ui/react';
|
||||
import Link from 'next/link';
|
||||
import Navbar from './navbar';
|
||||
import NavbarPhone from './navbarPhone';
|
||||
import { useRouter } from 'next/router';
|
||||
|
||||
@@ -34,7 +34,7 @@ const Navbar = ({
|
||||
>
|
||||
{/* logo */}
|
||||
<Box pb={4}>
|
||||
<Image src={'/logo.png'} width={'35'} height={'35'} alt=""></Image>
|
||||
<Image src={'/icon/logo.png'} width={'35'} height={'35'} alt=""></Image>
|
||||
</Box>
|
||||
{/* 导航列表 */}
|
||||
<Box flex={1}>
|
||||
@@ -46,6 +46,7 @@ const Navbar = ({
|
||||
alignItems={'center'}
|
||||
justifyContent={'center'}
|
||||
onClick={() =>
|
||||
!item.activeLink.includes(router.pathname) &&
|
||||
router.push(item.link, undefined, {
|
||||
shallow: true
|
||||
})
|
||||
|
||||
@@ -48,7 +48,7 @@ const NavbarPhone = ({
|
||||
<DrawerContent maxWidth={'50vw'}>
|
||||
<DrawerBody p={4}>
|
||||
<Box py={4}>
|
||||
<Image src={'/logo.png'} margin={'auto'} w={'35'} h={'35'} alt=""></Image>
|
||||
<Image src={'/icon/logo.png'} margin={'auto'} w={'35'} h={'35'} alt=""></Image>
|
||||
</Box>
|
||||
{navbarList.map((item) => (
|
||||
<Flex
|
||||
|
||||
@@ -1,5 +1,43 @@
|
||||
import React from 'react';
|
||||
export const codeLight: { [key: string]: React.CSSProperties } = {
|
||||
'code[class*=language-]': {
|
||||
color: '#d4d4d4',
|
||||
textShadow: 'none',
|
||||
direction: 'ltr',
|
||||
textAlign: 'left',
|
||||
whiteSpace: 'pre',
|
||||
wordSpacing: 'normal',
|
||||
wordBreak: 'normal',
|
||||
lineHeight: '1.5',
|
||||
MozTabSize: '4',
|
||||
OTabSize: '4',
|
||||
tabSize: '4',
|
||||
WebkitHyphens: 'none',
|
||||
MozHyphens: 'none',
|
||||
msHyphens: 'none',
|
||||
hyphens: 'none'
|
||||
},
|
||||
'pre[class*=language-]': {
|
||||
color: '#d4d4d4',
|
||||
textShadow: 'none',
|
||||
direction: 'ltr',
|
||||
textAlign: 'left',
|
||||
whiteSpace: 'pre',
|
||||
wordSpacing: 'normal',
|
||||
wordBreak: 'normal',
|
||||
lineHeight: '1.5',
|
||||
MozTabSize: '4',
|
||||
OTabSize: '4',
|
||||
tabSize: '4',
|
||||
WebkitHyphens: 'none',
|
||||
MozHyphens: 'none',
|
||||
msHyphens: 'none',
|
||||
hyphens: 'none',
|
||||
padding: '1em',
|
||||
margin: '.5em 0',
|
||||
overflow: 'auto',
|
||||
background: '#1e1e1e'
|
||||
},
|
||||
'code[class*=language-] ::selection': {
|
||||
textShadow: 'none',
|
||||
background: '#264f78'
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
animation: blink 0.6s infinite;
|
||||
}
|
||||
.animation {
|
||||
:last-child::after {
|
||||
> :last-child::after {
|
||||
display: inline-block;
|
||||
content: '';
|
||||
width: 4px;
|
||||
@@ -107,7 +107,6 @@
|
||||
font-size: 28px;
|
||||
}
|
||||
.markdown h2 {
|
||||
border-bottom: 1px solid #cccccc;
|
||||
color: #000000;
|
||||
font-size: 24px;
|
||||
}
|
||||
@@ -235,12 +234,10 @@
|
||||
}
|
||||
.markdown table th,
|
||||
.markdown table td {
|
||||
border: 1px solid #cccccc;
|
||||
padding: 6px 13px;
|
||||
}
|
||||
.markdown table tr {
|
||||
background-color: #ffffff;
|
||||
border-top: 1px solid #cccccc;
|
||||
}
|
||||
.markdown table tr:nth-child(2n) {
|
||||
background-color: #f0f0f0;
|
||||
@@ -329,7 +326,6 @@
|
||||
border-radius: 3px 3px 3px 3px;
|
||||
margin: 0 2px;
|
||||
padding: 0 5px;
|
||||
white-space: nowrap;
|
||||
}
|
||||
.markdown pre > code {
|
||||
background: none repeat scroll 0 0 transparent;
|
||||
@@ -343,7 +339,7 @@
|
||||
background-color: #f0f0f0;
|
||||
border: 1px solid #cccccc;
|
||||
border-radius: 3px 3px 3px 3px;
|
||||
font-size: 13px;
|
||||
font-size: max(0.9em, 14px);
|
||||
line-height: 19px;
|
||||
overflow: auto;
|
||||
padding: 6px 10px;
|
||||
@@ -354,10 +350,11 @@
|
||||
border: medium none;
|
||||
}
|
||||
.markdown {
|
||||
font-size: 14px;
|
||||
line-height: 1.6;
|
||||
letter-spacing: 0.5px;
|
||||
text-align: justify;
|
||||
word-break: break-all;
|
||||
overflow-y: hidden;
|
||||
tab-size: 4;
|
||||
word-spacing: normal;
|
||||
|
||||
pre {
|
||||
display: block;
|
||||
@@ -371,9 +368,57 @@
|
||||
}
|
||||
|
||||
pre code {
|
||||
background-color: #222;
|
||||
background-color: #222 !important;
|
||||
color: #fff;
|
||||
width: 100%;
|
||||
font-family: 'Söhne,ui-sans-serif,system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif,Helvetica Neue,Arial,Apple Color Emoji,Segoe UI Emoji,Segoe UI Symbol,Noto Color Emoji';
|
||||
}
|
||||
|
||||
a {
|
||||
text-decoration: underline;
|
||||
color: var(--chakra-colors-blue-600);
|
||||
}
|
||||
|
||||
table {
|
||||
border-collapse: separate;
|
||||
border-spacing: 0px;
|
||||
|
||||
thead tr:first-child th {
|
||||
border-bottom-width: 1px;
|
||||
border-left-width: 1px;
|
||||
border-top-width: 1px;
|
||||
border-color: #ccc;
|
||||
background-color: rgba(236, 236, 241, 0.2);
|
||||
overflow: hidden;
|
||||
|
||||
&:first-child {
|
||||
border-top-left-radius: 0.375rem;
|
||||
}
|
||||
&:last-child {
|
||||
border-right-width: 1px;
|
||||
border-top-right-radius: 0.375rem;
|
||||
}
|
||||
}
|
||||
|
||||
td {
|
||||
border-bottom-width: 1px;
|
||||
border-left-width: 1px;
|
||||
border-color: #ccc;
|
||||
|
||||
&:last-of-type {
|
||||
border-right-width: 1px;
|
||||
}
|
||||
}
|
||||
|
||||
tbody tr:last-child {
|
||||
overflow: hidden;
|
||||
td {
|
||||
&:first-child {
|
||||
border-bottom-left-radius: 0.375rem;
|
||||
}
|
||||
&:last-child {
|
||||
border-bottom-right-radius: 0.375rem;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,30 +1,36 @@
|
||||
import React, { memo } from 'react';
|
||||
import React, { memo, useMemo } from 'react';
|
||||
import ReactMarkdown from 'react-markdown';
|
||||
import remarkGfm from 'remark-gfm';
|
||||
import styles from './index.module.scss';
|
||||
import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
|
||||
import { codeLight } from './codeLight';
|
||||
import { Box, Flex } from '@chakra-ui/react';
|
||||
import { useCopyData } from '@/utils/tools';
|
||||
import Icon from '@/components/Icon';
|
||||
import remarkGfm from 'remark-gfm';
|
||||
import remarkMath from 'remark-math';
|
||||
import rehypeKatex from 'rehype-katex';
|
||||
|
||||
import 'katex/dist/katex.min.css';
|
||||
import styles from './index.module.scss';
|
||||
import { codeLight } from './codeLight';
|
||||
|
||||
const Markdown = ({ source, isChatting }: { source: string; isChatting: boolean }) => {
|
||||
// const formatSource = useMemo(() => source.replace(/\n/g, '\n'), [source]);
|
||||
const formatSource = useMemo(() => source, [source]);
|
||||
const { copyData } = useCopyData();
|
||||
// console.log(source);
|
||||
|
||||
return (
|
||||
<ReactMarkdown
|
||||
className={`${styles.markdown} ${
|
||||
isChatting ? (source === '' ? styles.waitingAnimation : styles.animation) : ''
|
||||
}`}
|
||||
rehypePlugins={[remarkGfm]}
|
||||
remarkPlugins={[remarkMath]}
|
||||
rehypePlugins={[remarkGfm, rehypeKatex]}
|
||||
components={{
|
||||
pre: 'div',
|
||||
code({ node, inline, className, children, ...props }) {
|
||||
const match = /language-(\w+)/.exec(className || '');
|
||||
const code = String(children).replace(/\n$/, '');
|
||||
return !inline ? (
|
||||
<Box my={3} borderRadius={'md'} overflow={'hidden'}>
|
||||
const code = String(children);
|
||||
|
||||
return !inline || match ? (
|
||||
<Box my={3} borderRadius={'md'} overflow={'hidden'} backgroundColor={'#222'}>
|
||||
<Flex
|
||||
py={2}
|
||||
px={5}
|
||||
@@ -50,13 +56,14 @@ const Markdown = ({ source, isChatting }: { source: string; isChatting: boolean
|
||||
</Box>
|
||||
) : (
|
||||
<code className={className} {...props}>
|
||||
{children}
|
||||
{code}
|
||||
</code>
|
||||
);
|
||||
}
|
||||
}}
|
||||
linkTarget="_blank"
|
||||
>
|
||||
{source}
|
||||
{formatSource}
|
||||
</ReactMarkdown>
|
||||
);
|
||||
};
|
||||
|
||||
@@ -4,7 +4,9 @@ export enum EmailTypeEnum {
|
||||
}
|
||||
|
||||
export const introPage = `
|
||||
## 欢迎使用 Doc GPT
|
||||
## 欢迎使用 Fast GPT
|
||||
|
||||
[Git 仓库](https://github.com/c121914yu/FastGPT)
|
||||
|
||||
时间比较赶,介绍没来得及完善,先直接上怎么使用:
|
||||
1. 使用邮箱注册账号。
|
||||
@@ -38,6 +40,5 @@ export const introPage = `
|
||||
* 分享链接应为:http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764
|
||||
|
||||
### 其他问题
|
||||
还有其他问题,可以加我 wx,拉个交流群大家一起聊聊。
|
||||

|
||||
还有其他问题,可以加我 wx: YNyiqi,拉个交流群大家一起聊聊。
|
||||
`;
|
||||
|
||||
@@ -20,24 +20,27 @@ const Button = defineStyleConfig({
|
||||
baseStyle: {},
|
||||
sizes: {
|
||||
sm: {
|
||||
fontSize: 'sm',
|
||||
fontSize: 'xs',
|
||||
px: 3,
|
||||
py: 0,
|
||||
fontWeight: 'normal',
|
||||
height: '26px'
|
||||
height: '26px',
|
||||
lineHeight: '26px'
|
||||
},
|
||||
md: {
|
||||
fontSize: 'md',
|
||||
fontSize: 'sm',
|
||||
px: 6,
|
||||
py: 0,
|
||||
height: '34px',
|
||||
lineHeight: '34px',
|
||||
fontWeight: 'normal'
|
||||
},
|
||||
lg: {
|
||||
fontSize: 'lg',
|
||||
fontSize: 'md',
|
||||
px: 8,
|
||||
py: 0,
|
||||
height: '42px',
|
||||
lineHeight: '42px',
|
||||
fontWeight: 'normal'
|
||||
}
|
||||
},
|
||||
@@ -58,17 +61,12 @@ export const theme = extendTheme({
|
||||
global: {
|
||||
'html, body': {
|
||||
color: 'blackAlpha.800',
|
||||
fontSize: '14px',
|
||||
fontFamily:
|
||||
'Söhne,ui-sans-serif,system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif,Helvetica Neue,Arial,Apple Color Emoji,Segoe UI Emoji,Segoe UI Symbol,Noto Color Emoji',
|
||||
height: '100%',
|
||||
overflowY: 'auto'
|
||||
maxHeight: '100vh',
|
||||
overflowY: 'hidden'
|
||||
}
|
||||
}
|
||||
},
|
||||
fonts: {
|
||||
body: 'system-ui, sans-serif'
|
||||
},
|
||||
fontSizes: {
|
||||
xs: '0.8rem',
|
||||
sm: '0.9rem',
|
||||
@@ -84,6 +82,9 @@ export const theme = extendTheme({
|
||||
'8xl': '6rem',
|
||||
'9xl': '8rem'
|
||||
},
|
||||
fonts: {
|
||||
body: '-apple-system,BlinkMacSystemFont,"Segoe UI",Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol"'
|
||||
},
|
||||
components: {
|
||||
Modal: ModalTheme,
|
||||
Button
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { useState, useRef } from 'react';
|
||||
import { useCallback, useRef } from 'react';
|
||||
import {
|
||||
AlertDialog,
|
||||
AlertDialogBody,
|
||||
@@ -17,45 +17,51 @@ export const useConfirm = ({ title = '提示', content }: { title?: string; cont
|
||||
const cancelCb = useRef<any>();
|
||||
|
||||
return {
|
||||
openConfirm: (confirm?: any, cancel?: any) => {
|
||||
onOpen();
|
||||
confirmCb.current = confirm;
|
||||
cancelCb.current = cancel;
|
||||
},
|
||||
ConfirmChild: () => (
|
||||
<AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
|
||||
<AlertDialogOverlay>
|
||||
<AlertDialogContent>
|
||||
<AlertDialogHeader fontSize="lg" fontWeight="bold">
|
||||
{title}
|
||||
</AlertDialogHeader>
|
||||
openConfirm: useCallback(
|
||||
(confirm?: any, cancel?: any) => {
|
||||
onOpen();
|
||||
confirmCb.current = confirm;
|
||||
cancelCb.current = cancel;
|
||||
},
|
||||
[onOpen]
|
||||
),
|
||||
ConfirmChild: useCallback(
|
||||
() => (
|
||||
<AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
|
||||
<AlertDialogOverlay>
|
||||
<AlertDialogContent>
|
||||
<AlertDialogHeader fontSize="lg" fontWeight="bold">
|
||||
{title}
|
||||
</AlertDialogHeader>
|
||||
|
||||
<AlertDialogBody>{content}</AlertDialogBody>
|
||||
<AlertDialogBody>{content}</AlertDialogBody>
|
||||
|
||||
<AlertDialogFooter>
|
||||
<Button
|
||||
colorScheme={'gray'}
|
||||
onClick={() => {
|
||||
onClose();
|
||||
typeof cancelCb.current === 'function' && cancelCb.current();
|
||||
}}
|
||||
>
|
||||
取消
|
||||
</Button>
|
||||
<Button
|
||||
colorScheme="blue"
|
||||
ml={3}
|
||||
onClick={() => {
|
||||
onClose();
|
||||
typeof confirmCb.current === 'function' && confirmCb.current();
|
||||
}}
|
||||
>
|
||||
确认
|
||||
</Button>
|
||||
</AlertDialogFooter>
|
||||
</AlertDialogContent>
|
||||
</AlertDialogOverlay>
|
||||
</AlertDialog>
|
||||
<AlertDialogFooter>
|
||||
<Button
|
||||
colorScheme={'gray'}
|
||||
onClick={() => {
|
||||
onClose();
|
||||
typeof cancelCb.current === 'function' && cancelCb.current();
|
||||
}}
|
||||
>
|
||||
取消
|
||||
</Button>
|
||||
<Button
|
||||
colorScheme="blue"
|
||||
ml={4}
|
||||
onClick={() => {
|
||||
onClose();
|
||||
typeof confirmCb.current === 'function' && confirmCb.current();
|
||||
}}
|
||||
>
|
||||
确认
|
||||
</Button>
|
||||
</AlertDialogFooter>
|
||||
</AlertDialogContent>
|
||||
</AlertDialogOverlay>
|
||||
</AlertDialog>
|
||||
),
|
||||
[content, isOpen, onClose, title]
|
||||
)
|
||||
};
|
||||
};
|
||||
|
||||
@@ -1,36 +1,33 @@
|
||||
import { useState, memo } from 'react';
|
||||
import { useState, useCallback } from 'react';
|
||||
import { Spinner, Flex } from '@chakra-ui/react';
|
||||
|
||||
export const useLoading = (props?: { defaultLoading: boolean }) => {
|
||||
const [isLoading, setIsLoading] = useState(props?.defaultLoading || false);
|
||||
|
||||
const Loading = ({
|
||||
loading,
|
||||
fixed = true
|
||||
}: {
|
||||
loading?: boolean;
|
||||
fixed?: boolean;
|
||||
}): JSX.Element | null => {
|
||||
return isLoading || loading ? (
|
||||
<Flex
|
||||
position={fixed ? 'fixed' : 'absolute'}
|
||||
zIndex={100}
|
||||
backgroundColor={'rgba(255,255,255,0.5)'}
|
||||
top={0}
|
||||
left={0}
|
||||
right={0}
|
||||
bottom={0}
|
||||
alignItems={'center'}
|
||||
justifyContent={'center'}
|
||||
>
|
||||
<Spinner thickness="4px" speed="0.65s" emptyColor="gray.200" color="blue.500" size="xl" />
|
||||
</Flex>
|
||||
) : null;
|
||||
};
|
||||
const Loading = useCallback(
|
||||
({ loading, fixed = true }: { loading?: boolean; fixed?: boolean }): JSX.Element | null => {
|
||||
return isLoading || loading ? (
|
||||
<Flex
|
||||
position={fixed ? 'fixed' : 'absolute'}
|
||||
zIndex={100}
|
||||
backgroundColor={'rgba(255,255,255,0.5)'}
|
||||
top={0}
|
||||
left={0}
|
||||
right={0}
|
||||
bottom={0}
|
||||
alignItems={'center'}
|
||||
justifyContent={'center'}
|
||||
>
|
||||
<Spinner thickness="4px" speed="0.65s" emptyColor="gray.200" color="blue.500" size="xl" />
|
||||
</Flex>
|
||||
) : null;
|
||||
},
|
||||
[isLoading]
|
||||
);
|
||||
|
||||
return {
|
||||
isLoading,
|
||||
setIsLoading,
|
||||
Loading: memo(Loading)
|
||||
Loading
|
||||
};
|
||||
};
|
||||
|
||||
@@ -1,14 +1,11 @@
|
||||
import { useState, useMemo, useCallback } from 'react';
|
||||
import { sendCodeToEmail } from '@/api/user';
|
||||
import { EmailTypeEnum } from '@/constants/common';
|
||||
import { useToast } from '@chakra-ui/react';
|
||||
let timer: any;
|
||||
import { useToast } from './useToast';
|
||||
|
||||
export const useSendCode = () => {
|
||||
const toast = useToast({
|
||||
position: 'top',
|
||||
duration: 2000
|
||||
});
|
||||
const { toast } = useToast();
|
||||
const [codeSending, setCodeSending] = useState(false);
|
||||
const [codeCountDown, setCodeCountDown] = useState(0);
|
||||
const sendCodeText = useMemo(() => {
|
||||
@@ -43,13 +40,11 @@ export const useSendCode = () => {
|
||||
status: 'success',
|
||||
position: 'top'
|
||||
});
|
||||
} catch (error) {
|
||||
typeof error === 'string' &&
|
||||
toast({
|
||||
title: error,
|
||||
status: 'error',
|
||||
position: 'top'
|
||||
});
|
||||
} catch (error: any) {
|
||||
toast({
|
||||
title: error.message || '发送验证码异常',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setCodeSending(false);
|
||||
},
|
||||
|
||||
@@ -15,23 +15,23 @@ Router.events.on('routeChangeStart', () => NProgress.start());
|
||||
Router.events.on('routeChangeComplete', () => NProgress.done());
|
||||
Router.events.on('routeChangeError', () => NProgress.done());
|
||||
|
||||
export default function App({ Component, pageProps }: AppProps) {
|
||||
// Create a client
|
||||
const queryClient = new QueryClient({
|
||||
defaultOptions: {
|
||||
queries: {
|
||||
refetchOnWindowFocus: false,
|
||||
retry: false,
|
||||
cacheTime: 0
|
||||
}
|
||||
// Create a client
|
||||
const queryClient = new QueryClient({
|
||||
defaultOptions: {
|
||||
queries: {
|
||||
refetchOnWindowFocus: false,
|
||||
retry: false,
|
||||
cacheTime: 0
|
||||
}
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
export default function App({ Component, pageProps }: AppProps) {
|
||||
return (
|
||||
<>
|
||||
<Head>
|
||||
<title>Doc GPT</title>
|
||||
<meta name="description" content="Generated by Doc GPT" />
|
||||
<title>Fast GPT</title>
|
||||
<meta name="description" content="Generated by Fast GPT" />
|
||||
<meta
|
||||
name="viewport"
|
||||
content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0;"
|
||||
|
||||
@@ -1,24 +1,24 @@
|
||||
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { connectToDatabase, Chat, ChatWindow } from '@/service/mongo';
|
||||
import { createParser, ParsedEvent, ReconnectInterval } from 'eventsource-parser';
|
||||
import { connectToDatabase, ChatWindow } from '@/service/mongo';
|
||||
import type { ModelType } from '@/types/model';
|
||||
import { getOpenAIApi, authChat } from '@/service/utils/chat';
|
||||
import { openaiProxy } from '@/service/utils/tools';
|
||||
import { httpsAgent } from '@/service/utils/tools';
|
||||
import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
|
||||
import { ChatItemType } from '@/types/chat';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { PassThrough } from 'stream';
|
||||
|
||||
/* 发送提示词 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
res.writeHead(200, {
|
||||
Connection: 'keep-alive',
|
||||
'Content-Encoding': 'none',
|
||||
'Cache-Control': 'no-cache',
|
||||
'Content-Type': 'text/event-stream'
|
||||
});
|
||||
const { chatId, windowId } = req.query as { chatId: string; windowId: string };
|
||||
const { chatId, windowId, prompt } = req.body as {
|
||||
prompt: ChatItemType;
|
||||
windowId: string;
|
||||
chatId: string;
|
||||
};
|
||||
|
||||
try {
|
||||
if (!windowId || !chatId) {
|
||||
if (!windowId || !chatId || !prompt) {
|
||||
throw new Error('缺少参数');
|
||||
}
|
||||
|
||||
@@ -28,15 +28,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
|
||||
const model: ModelType = chat.modelId;
|
||||
|
||||
const map = {
|
||||
Human: ChatCompletionRequestMessageRoleEnum.User,
|
||||
AI: ChatCompletionRequestMessageRoleEnum.Assistant,
|
||||
SYSTEM: ChatCompletionRequestMessageRoleEnum.System
|
||||
};
|
||||
// 读取对话内容
|
||||
const prompts: ChatItemType[] = (await ChatWindow.findById(windowId)).content;
|
||||
prompts.push(prompt);
|
||||
|
||||
// 长度过滤
|
||||
// 上下文长度过滤
|
||||
const maxContext = model.security.contextMaxLen;
|
||||
const filterPrompts =
|
||||
prompts.length > maxContext + 2
|
||||
@@ -44,6 +40,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
: prompts.slice(0, prompts.length);
|
||||
|
||||
// 格式化文本内容
|
||||
const map = {
|
||||
Human: ChatCompletionRequestMessageRoleEnum.User,
|
||||
AI: ChatCompletionRequestMessageRoleEnum.Assistant,
|
||||
SYSTEM: ChatCompletionRequestMessageRoleEnum.System
|
||||
};
|
||||
const formatPrompts: ChatCompletionRequestMessage[] = filterPrompts.map(
|
||||
(item: ChatItemType) => ({
|
||||
role: map[item.obj],
|
||||
@@ -53,12 +54,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
// 第一句话,强调代码类型
|
||||
formatPrompts.unshift({
|
||||
role: ChatCompletionRequestMessageRoleEnum.System,
|
||||
content:
|
||||
'If the content is code or code blocks, please label the code type as accurately as possible.'
|
||||
content: '如果你想返回代码,请务必声明代码的类型!并且在代码块前加一个换行符。'
|
||||
});
|
||||
|
||||
// 获取 chatAPI
|
||||
const chatAPI = getOpenAIApi(userApiKey);
|
||||
// 发出请求
|
||||
const chatResponse = await chatAPI.createChatCompletion(
|
||||
{
|
||||
model: model.service.chatModel,
|
||||
@@ -67,50 +68,51 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
messages: formatPrompts,
|
||||
stream: true
|
||||
},
|
||||
openaiProxy
|
||||
{
|
||||
timeout: 20000,
|
||||
responseType: 'stream',
|
||||
httpsAgent
|
||||
}
|
||||
);
|
||||
console.log(
|
||||
formatPrompts.reduce((sum, item) => sum + item.content.length, 0),
|
||||
'response success'
|
||||
);
|
||||
|
||||
// 截取字符串内容
|
||||
const reg = /{"content"(.*)"}/g;
|
||||
// @ts-ignore
|
||||
const match = chatResponse.data.match(reg);
|
||||
let AIResponse = '';
|
||||
if (match) {
|
||||
match.forEach((item: string, i: number) => {
|
||||
try {
|
||||
const json = JSON.parse(item);
|
||||
// 开头的换行忽略
|
||||
if (i === 0 && json.content?.startsWith('\n')) return;
|
||||
AIResponse += json.content;
|
||||
const content = json.content.replace(/\n/g, '<br/>'); // 无法直接传输\n
|
||||
content && res.write(`data: ${content}\n\n`);
|
||||
} catch (err) {
|
||||
err;
|
||||
}
|
||||
});
|
||||
// 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 pass = new PassThrough();
|
||||
pass.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) return;
|
||||
// console.log('content:', content)
|
||||
pass.push(content.replace(/\n/g, '<br/>'));
|
||||
} catch (error) {
|
||||
error;
|
||||
}
|
||||
};
|
||||
|
||||
for await (const chunk of chatResponse.data as any) {
|
||||
const parser = createParser(onParse);
|
||||
parser.feed(decodeURIComponent(chunk));
|
||||
}
|
||||
res.write(`data: [DONE]\n\n`);
|
||||
|
||||
// 存入库
|
||||
await ChatWindow.findByIdAndUpdate(windowId, {
|
||||
$push: {
|
||||
content: {
|
||||
obj: 'AI',
|
||||
value: AIResponse
|
||||
}
|
||||
},
|
||||
updateTime: Date.now()
|
||||
});
|
||||
|
||||
res.end();
|
||||
pass.push(null);
|
||||
} catch (err: any) {
|
||||
console.log(err?.response?.data || err);
|
||||
// 删除最一条数据库记录, 也就是预发送的那一条
|
||||
await ChatWindow.findByIdAndUpdate(windowId, {
|
||||
$pop: { content: 1 },
|
||||
updateTime: Date.now()
|
||||
res.status(500);
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
|
||||
res.end();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,7 +5,7 @@ import { connectToDatabase, Chat } from '@/service/mongo';
|
||||
import type { ModelType } from '@/types/model';
|
||||
import { getOpenAIApi } from '@/service/utils/chat';
|
||||
import { ChatItemType } from '@/types/chat';
|
||||
import { openaiProxy } from '@/service/utils/tools';
|
||||
import { httpsAgent } from '@/service/utils/tools';
|
||||
|
||||
/* 发送提示词 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
@@ -66,7 +66,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
presence_penalty: 0.6,
|
||||
stop: ['###']
|
||||
},
|
||||
openaiProxy
|
||||
{
|
||||
httpsAgent
|
||||
}
|
||||
);
|
||||
|
||||
const responseMessage = response.data.choices[0]?.text;
|
||||
|
||||
@@ -23,7 +23,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
});
|
||||
|
||||
// 安全校验
|
||||
if (chat.loadAmount === 0 || chat.expiredTime < Date.now()) {
|
||||
if (!chat || chat.loadAmount === 0 || chat.expiredTime < Date.now()) {
|
||||
throw new Error('聊天框已过期');
|
||||
}
|
||||
|
||||
@@ -82,7 +82,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
}
|
||||
});
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
|
||||
@@ -2,34 +2,31 @@ import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { ChatItemType } from '@/types/chat';
|
||||
import { connectToDatabase, ChatWindow } from '@/service/mongo';
|
||||
import type { ModelType } from '@/types/model';
|
||||
import { authChat } from '@/service/utils/chat';
|
||||
|
||||
/* 聊天预请求,存储聊天内容 */
|
||||
/* 聊天内容存存储 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
const { windowId, prompt, chatId } = req.body as {
|
||||
const { windowId, prompts } = req.body as {
|
||||
windowId: string;
|
||||
prompt: ChatItemType;
|
||||
chatId: string;
|
||||
prompts: ChatItemType[];
|
||||
};
|
||||
|
||||
if (!windowId || !prompt || !chatId) {
|
||||
if (!windowId || !prompts) {
|
||||
throw new Error('缺少参数');
|
||||
}
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
const { chat } = await authChat(chatId);
|
||||
|
||||
// 长度校验
|
||||
const model: ModelType = chat.modelId;
|
||||
if (prompt.value.length > model.security.contentMaxLen) {
|
||||
throw new Error('输入内容超长');
|
||||
}
|
||||
|
||||
// 存入库
|
||||
await ChatWindow.findByIdAndUpdate(windowId, {
|
||||
$push: { content: prompt },
|
||||
$push: {
|
||||
content: {
|
||||
$each: prompts.map((item) => ({
|
||||
obj: item.obj,
|
||||
value: item.value
|
||||
}))
|
||||
}
|
||||
},
|
||||
updateTime: Date.now()
|
||||
});
|
||||
|
||||
@@ -5,7 +5,7 @@ import { authToken, getUserOpenaiKey } from '@/service/utils/tools';
|
||||
import { TrainingStatusEnum } from '@/constants/model';
|
||||
import { getOpenAIApi } from '@/service/utils/chat';
|
||||
import { TrainingItemType } from '@/types/training';
|
||||
import { openaiProxy } from '@/service/utils/tools';
|
||||
import { httpsAgent } from '@/service/utils/tools';
|
||||
|
||||
/* 获取我的模型 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
|
||||
@@ -47,12 +47,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
|
||||
if (training) {
|
||||
const openai = getOpenAIApi(await getUserOpenaiKey(userId));
|
||||
// 获取训练记录
|
||||
const tuneRecord = await openai.retrieveFineTune(training.tuneId, openaiProxy);
|
||||
const tuneRecord = await openai.retrieveFineTune(training.tuneId, { httpsAgent });
|
||||
|
||||
// 删除训练文件
|
||||
openai.deleteFile(tuneRecord.data.training_files[0].id, openaiProxy);
|
||||
openai.deleteFile(tuneRecord.data.training_files[0].id, { httpsAgent });
|
||||
// 取消训练
|
||||
openai.cancelFineTune(training.tuneId, openaiProxy);
|
||||
openai.cancelFineTune(training.tuneId, { httpsAgent });
|
||||
}
|
||||
|
||||
// 删除对应训练记录
|
||||
|
||||
@@ -9,7 +9,7 @@ import fs from 'fs';
|
||||
import type { ModelType } from '@/types/model';
|
||||
import type { OpenAIApi } from 'openai';
|
||||
import { ModelStatusEnum, TrainingStatusEnum } from '@/constants/model';
|
||||
import { openaiProxy } from '@/service/utils/tools';
|
||||
import { httpsAgent } from '@/service/utils/tools';
|
||||
|
||||
// 关闭next默认的bodyParser处理方式
|
||||
export const config = {
|
||||
|
||||
@@ -7,7 +7,7 @@ import type { ModelType } from '@/types/model';
|
||||
import { TrainingItemType } from '@/types/training';
|
||||
import { ModelStatusEnum, TrainingStatusEnum } from '@/constants/model';
|
||||
import { OpenAiTuneStatusEnum } from '@/service/constants/training';
|
||||
import { openaiProxy } from '@/service/utils/tools';
|
||||
import { httpsAgent } from '@/service/utils/tools';
|
||||
|
||||
/* 更新训练状态 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
@@ -46,11 +46,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
const openai = getOpenAIApi(await getUserOpenaiKey(userId));
|
||||
|
||||
// 获取 openai 的训练情况
|
||||
const { data } = await openai.retrieveFineTune(training.tuneId, openaiProxy);
|
||||
const { data } = await openai.retrieveFineTune(training.tuneId, { httpsAgent });
|
||||
|
||||
if (data.status === OpenAiTuneStatusEnum.succeeded) {
|
||||
// 删除训练文件
|
||||
openai.deleteFile(data.training_files[0].id, openaiProxy);
|
||||
openai.deleteFile(data.training_files[0].id, { httpsAgent });
|
||||
|
||||
// 更新模型
|
||||
await Model.findByIdAndUpdate(modelId, {
|
||||
@@ -74,7 +74,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
|
||||
if (data.status === OpenAiTuneStatusEnum.cancelled) {
|
||||
// 删除训练文件
|
||||
openai.deleteFile(data.training_files[0].id, openaiProxy);
|
||||
openai.deleteFile(data.training_files[0].id, { httpsAgent });
|
||||
|
||||
// 更新模型
|
||||
await Model.findByIdAndUpdate(modelId, {
|
||||
|
||||
@@ -10,7 +10,7 @@ import fs from 'fs';
|
||||
import type { ModelType } from '@/types/model';
|
||||
import type { OpenAIApi } from 'openai';
|
||||
import { ModelStatusEnum, TrainingStatusEnum } from '@/constants/model';
|
||||
import { openaiProxy } from '@/service/utils/tools';
|
||||
import { httpsAgent } from '@/service/utils/tools';
|
||||
|
||||
// 关闭next默认的bodyParser处理方式
|
||||
export const config = {
|
||||
@@ -73,7 +73,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
// @ts-ignore
|
||||
fs.createReadStream(file.filepath),
|
||||
'fine-tune',
|
||||
openaiProxy
|
||||
{ httpsAgent }
|
||||
);
|
||||
uploadFileId = uploadRes.data.id; // 记录上传文件的 ID
|
||||
|
||||
@@ -84,7 +84,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
model: trainingType,
|
||||
suffix: model.name
|
||||
},
|
||||
openaiProxy
|
||||
{ httpsAgent }
|
||||
);
|
||||
|
||||
trainId = trainRes.data.id; // 记录训练 ID
|
||||
@@ -114,9 +114,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
// @ts-ignore
|
||||
if (openai) {
|
||||
// @ts-ignore
|
||||
uploadFileId && openai.deleteFile(uploadFileId, openaiProxy);
|
||||
uploadFileId && openai.deleteFile(uploadFileId, { httpsAgent });
|
||||
// @ts-ignore
|
||||
trainId && openai.cancelFineTune(trainId, openaiProxy);
|
||||
trainId && openai.cancelFineTune(trainId, { httpsAgent });
|
||||
}
|
||||
|
||||
jsonRes(res, {
|
||||
|
||||
@@ -1,24 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
|
||||
if (req.method !== 'GET') return;
|
||||
|
||||
res.writeHead(200, {
|
||||
Connection: 'keep-alive',
|
||||
'Content-Encoding': 'none',
|
||||
'Cache-Control': 'no-cache',
|
||||
'Content-Type': 'text/event-stream'
|
||||
});
|
||||
|
||||
let val = 0;
|
||||
|
||||
const timer = setInterval(() => {
|
||||
console.log('发送消息', val);
|
||||
res.write(`data: ${val++}\n\n`);
|
||||
if (val > 30) {
|
||||
clearInterval(timer);
|
||||
res.write(`data: [DONE]\n\n`);
|
||||
res.end();
|
||||
}
|
||||
}, 500);
|
||||
}
|
||||
@@ -8,7 +8,7 @@ import { getOpenAIApi } from '@/service/utils/chat';
|
||||
import { getUserOpenaiKey } from '@/service/utils/tools';
|
||||
import { OpenAiTuneStatusEnum } from '@/service/constants/training';
|
||||
import { sendTrainSucceed } from '@/service/utils/sendEmail';
|
||||
import { openaiProxy } from '@/service/utils/tools';
|
||||
import { httpsAgent } from '@/service/utils/tools';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
@@ -23,10 +23,10 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
|
||||
const response = await Promise.all(
|
||||
trainingRecords.map(async (item) => {
|
||||
const { data } = await openai.retrieveFineTune(item.tuneId, openaiProxy);
|
||||
const { data } = await openai.retrieveFineTune(item.tuneId, { httpsAgent });
|
||||
if (data.status === OpenAiTuneStatusEnum.succeeded) {
|
||||
// 删除训练文件
|
||||
openai.deleteFile(data.training_files[0].id, openaiProxy);
|
||||
openai.deleteFile(data.training_files[0].id, { httpsAgent });
|
||||
|
||||
const model = await Model.findById(item.modelId).populate({
|
||||
path: 'userId',
|
||||
|
||||
@@ -20,7 +20,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
if (type === EmailTypeEnum.register) {
|
||||
const maxCount = process.env.MAX_USER ? +process.env.MAX_USER : Infinity;
|
||||
const userCount = await User.count();
|
||||
|
||||
if (userCount >= maxCount) {
|
||||
throw new Error('当前注册用户已满,请等待名额~');
|
||||
}
|
||||
|
||||
@@ -10,7 +10,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
const { authorization } = req.headers;
|
||||
|
||||
if (!authorization) {
|
||||
throw new Error('缺少参数');
|
||||
throw new Error('缺少登录凭证');
|
||||
}
|
||||
|
||||
const userId = await authToken(authorization);
|
||||
|
||||
@@ -13,7 +13,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
|
||||
const { authorization } = req.headers;
|
||||
|
||||
if (!authorization) {
|
||||
throw new Error('缺少参数');
|
||||
throw new Error('无权操作');
|
||||
}
|
||||
|
||||
const userId = await authToken(authorization);
|
||||
|
||||
@@ -1,33 +1,26 @@
|
||||
import React, { useCallback, useState, useRef, useMemo } from 'react';
|
||||
import { useRouter } from 'next/router';
|
||||
import Image from 'next/image';
|
||||
import {
|
||||
getInitChatSiteInfo,
|
||||
postGPT3SendPrompt,
|
||||
getChatGPTSendEvent,
|
||||
postChatGptPrompt,
|
||||
delLastMessage
|
||||
} from '@/api/chat';
|
||||
import { getInitChatSiteInfo, postGPT3SendPrompt, delLastMessage, postSaveChat } from '@/api/chat';
|
||||
import { ChatSiteItemType, ChatSiteType } from '@/types/chat';
|
||||
import { Textarea, Box, Flex, Button } from '@chakra-ui/react';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import Icon from '@/components/Icon';
|
||||
import { useScreen } from '@/hooks/useScreen';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import { OpenAiModelEnum } from '@/constants/model';
|
||||
import dynamic from 'next/dynamic';
|
||||
import { useGlobalStore } from '@/store/global';
|
||||
import { streamFetch } from '@/api/fetch';
|
||||
|
||||
const Markdown = dynamic(() => import('@/components/Markdown'));
|
||||
|
||||
const textareaMinH = '22px';
|
||||
|
||||
const Chat = () => {
|
||||
const Chat = ({ chatId, windowId }: { chatId: string; windowId?: string }) => {
|
||||
const { toast } = useToast();
|
||||
const router = useRouter();
|
||||
const { isPc, media } = useScreen();
|
||||
const { chatId, windowId } = router.query as { chatId: string; windowId?: string };
|
||||
const ChatBox = useRef<HTMLDivElement>(null);
|
||||
const TextareaDom = useRef<HTMLTextAreaElement>(null);
|
||||
|
||||
@@ -41,7 +34,6 @@ const Chat = () => {
|
||||
|
||||
// 滚动到底部
|
||||
const scrollToBottom = useCallback(() => {
|
||||
// 滚动到底部
|
||||
setTimeout(() => {
|
||||
ChatBox.current &&
|
||||
ChatBox.current.scrollTo({
|
||||
@@ -53,16 +45,14 @@ const Chat = () => {
|
||||
|
||||
// 初始化聊天框
|
||||
useQuery(
|
||||
[chatId, windowId],
|
||||
['initData'],
|
||||
() => {
|
||||
if (!chatId) return null;
|
||||
setLoading(true);
|
||||
return getInitChatSiteInfo(chatId, windowId);
|
||||
},
|
||||
{
|
||||
cacheTime: 5 * 60 * 1000,
|
||||
onSuccess(res) {
|
||||
if (!res) return;
|
||||
// 可能没有 windowId,给它设置一下
|
||||
router.replace(`/chat?chatId=${chatId}&windowId=${res.windowId}`);
|
||||
|
||||
setChatSiteData(res.chatSite);
|
||||
@@ -73,20 +63,38 @@ const Chat = () => {
|
||||
}))
|
||||
);
|
||||
scrollToBottom();
|
||||
setLoading(false);
|
||||
},
|
||||
onError() {
|
||||
onError(e: any) {
|
||||
toast({
|
||||
title: '初始化异常,请刷新',
|
||||
title: e?.message || '初始化异常,请检查地址',
|
||||
status: 'error',
|
||||
isClosable: true,
|
||||
duration: 5000
|
||||
});
|
||||
},
|
||||
onSettled() {
|
||||
setLoading(false);
|
||||
}
|
||||
}
|
||||
);
|
||||
|
||||
// 重置输入内容
|
||||
const resetInputVal = useCallback((val: string) => {
|
||||
setInputVal(val);
|
||||
setTimeout(() => {
|
||||
/* 回到最小高度 */
|
||||
if (TextareaDom.current) {
|
||||
TextareaDom.current.style.height =
|
||||
val === '' ? textareaMinH : `${TextareaDom.current.scrollHeight}px`;
|
||||
}
|
||||
}, 100);
|
||||
}, []);
|
||||
|
||||
// 重载对话
|
||||
const resetChat = useCallback(() => {
|
||||
window.open(`/chat?chatId=${chatId}`, '_self');
|
||||
}, [chatId]);
|
||||
|
||||
// gpt3 方法
|
||||
const gpt3ChatPrompt = useCallback(
|
||||
async (newChatList: ChatSiteItemType[]) => {
|
||||
@@ -115,49 +123,64 @@ const Chat = () => {
|
||||
const chatGPTPrompt = useCallback(
|
||||
async (newChatList: ChatSiteItemType[]) => {
|
||||
if (!windowId) return;
|
||||
/* 预请求,把消息存入库 */
|
||||
await postChatGptPrompt({
|
||||
windowId,
|
||||
prompt: newChatList[newChatList.length - 1],
|
||||
chatId
|
||||
const prompt = {
|
||||
obj: newChatList[newChatList.length - 1].obj,
|
||||
value: newChatList[newChatList.length - 1].value
|
||||
};
|
||||
// 流请求,获取数据
|
||||
const res = await streamFetch({
|
||||
url: '/api/chat/chatGpt',
|
||||
data: {
|
||||
windowId,
|
||||
prompt,
|
||||
chatId
|
||||
},
|
||||
onMessage: (text: string) => {
|
||||
setChatList((state) =>
|
||||
state.map((item, index) => {
|
||||
if (index !== state.length - 1) return item;
|
||||
return {
|
||||
...item,
|
||||
value: item.value + text
|
||||
};
|
||||
})
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
return new Promise((resolve, reject) => {
|
||||
const event = getChatGPTSendEvent(chatId, windowId);
|
||||
event.onmessage = ({ data }) => {
|
||||
if (data === '[DONE]') {
|
||||
event.close();
|
||||
setChatList((state) =>
|
||||
state.map((item, index) => {
|
||||
if (index !== state.length - 1) return item;
|
||||
return {
|
||||
...item,
|
||||
status: 'finish'
|
||||
};
|
||||
})
|
||||
);
|
||||
resolve('');
|
||||
} else if (data) {
|
||||
const msg = data.replace(/<br\/>/g, '\n');
|
||||
setChatList((state) =>
|
||||
state.map((item, index) => {
|
||||
if (index !== state.length - 1) return item;
|
||||
return {
|
||||
...item,
|
||||
value: item.value + msg
|
||||
};
|
||||
})
|
||||
);
|
||||
}
|
||||
};
|
||||
event.onerror = (err) => {
|
||||
console.error(err, '===');
|
||||
event.close();
|
||||
reject('对话出现错误');
|
||||
};
|
||||
});
|
||||
// 保存对话信息
|
||||
try {
|
||||
await postSaveChat({
|
||||
windowId,
|
||||
prompts: [
|
||||
prompt,
|
||||
{
|
||||
obj: 'AI',
|
||||
value: res as string
|
||||
}
|
||||
]
|
||||
});
|
||||
} catch (err) {
|
||||
toast({
|
||||
title: '存储对话出现异常, 继续对话会导致上下文丢失,请刷新页面',
|
||||
status: 'warning',
|
||||
duration: 3000,
|
||||
isClosable: true
|
||||
});
|
||||
}
|
||||
|
||||
// 设置完成状态
|
||||
setChatList((state) =>
|
||||
state.map((item, index) => {
|
||||
if (index !== state.length - 1) return item;
|
||||
return {
|
||||
...item,
|
||||
status: 'finish'
|
||||
};
|
||||
})
|
||||
);
|
||||
},
|
||||
[chatId, windowId]
|
||||
[chatId, toast, windowId]
|
||||
);
|
||||
|
||||
/**
|
||||
@@ -191,16 +214,8 @@ const Chat = () => {
|
||||
|
||||
// 插入内容
|
||||
setChatList(newChatList);
|
||||
setInputVal('');
|
||||
// 滚动到底部
|
||||
setTimeout(() => {
|
||||
scrollToBottom();
|
||||
|
||||
/* 回到最小高度 */
|
||||
if (TextareaDom.current) {
|
||||
TextareaDom.current.style.height = textareaMinH;
|
||||
}
|
||||
}, 100);
|
||||
resetInputVal('');
|
||||
scrollToBottom();
|
||||
|
||||
const fnMap: { [key: string]: any } = {
|
||||
[OpenAiModelEnum.GPT35]: chatGPTPrompt,
|
||||
@@ -218,15 +233,15 @@ const Chat = () => {
|
||||
if (typeof fnMap[chatSiteData.chatModel] === 'function') {
|
||||
await fnMap[chatSiteData.chatModel](requestPrompt);
|
||||
}
|
||||
} catch (err) {
|
||||
} catch (err: any) {
|
||||
toast({
|
||||
title: typeof err === 'string' ? err : '聊天已过期',
|
||||
title: typeof err === 'string' ? err : err?.message || '聊天出错了~',
|
||||
status: 'warning',
|
||||
duration: 5000,
|
||||
isClosable: true
|
||||
});
|
||||
|
||||
setInputVal(storeInput);
|
||||
resetInputVal(storeInput);
|
||||
|
||||
setChatList(newChatList.slice(0, newChatList.length - 2));
|
||||
}
|
||||
@@ -237,6 +252,7 @@ const Chat = () => {
|
||||
gpt3ChatPrompt,
|
||||
inputVal,
|
||||
isChatting,
|
||||
resetInputVal,
|
||||
scrollToBottom,
|
||||
toast
|
||||
]);
|
||||
@@ -245,19 +261,13 @@ const Chat = () => {
|
||||
const reEdit = useCallback(async () => {
|
||||
if (chatList[chatList.length - 1]?.obj !== 'Human') return;
|
||||
// 删除数据库最后一句
|
||||
delLastMessage(windowId);
|
||||
await delLastMessage(windowId);
|
||||
const val = chatList[chatList.length - 1].value;
|
||||
|
||||
setInputVal(val);
|
||||
resetInputVal(val);
|
||||
|
||||
setChatList(chatList.slice(0, -1));
|
||||
|
||||
setTimeout(() => {
|
||||
if (TextareaDom.current) {
|
||||
TextareaDom.current.style.height = val.split('\n').length * 22 + 'px';
|
||||
}
|
||||
}, 100);
|
||||
}, [chatList, windowId]);
|
||||
}, [chatList, resetInputVal, windowId]);
|
||||
|
||||
return (
|
||||
<Flex height={'100%'} flexDirection={'column'}>
|
||||
@@ -271,13 +281,9 @@ const Chat = () => {
|
||||
zIndex={1}
|
||||
>
|
||||
<Box flex={1}>{chatSiteData?.name}</Box>
|
||||
{/* 重置按键 */}
|
||||
<Box cursor={'pointer'} onClick={() => router.replace(`/chat?chatId=${chatId}`)}>
|
||||
<Icon name={'icon-zhongzhi'} width={20} height={20} color={'#718096'}></Icon>
|
||||
</Box>
|
||||
{/* 滚动到底部按键 */}
|
||||
{ChatBox.current && ChatBox.current.scrollHeight > 2 * ChatBox.current.clientHeight && (
|
||||
<Box ml={10} cursor={'pointer'} onClick={scrollToBottom}>
|
||||
<Box mr={10} cursor={'pointer'} onClick={scrollToBottom}>
|
||||
<Icon
|
||||
name={'icon-xiangxiazhankai-xianxingyuankuang'}
|
||||
width={25}
|
||||
@@ -286,6 +292,10 @@ const Chat = () => {
|
||||
></Icon>
|
||||
</Box>
|
||||
)}
|
||||
{/* 重置按键 */}
|
||||
<Button size={'sm'} colorScheme={'gray'} onClick={resetChat}>
|
||||
新对话
|
||||
</Button>
|
||||
</Flex>
|
||||
{/* 聊天内容 */}
|
||||
<Box ref={ChatBox} flex={'1 0 0'} h={0} w={'100%'} px={0} pb={10} overflowY={'auto'}>
|
||||
@@ -293,20 +303,20 @@ const Chat = () => {
|
||||
<Box
|
||||
key={index}
|
||||
py={media(9, 6)}
|
||||
px={media(4, 3)}
|
||||
px={media(4, 2)}
|
||||
backgroundColor={index % 2 === 0 ? 'rgba(247,247,248,1)' : '#fff'}
|
||||
borderBottom={'1px solid rgba(0,0,0,0.1)'}
|
||||
>
|
||||
<Flex maxW={'800px'} m={'auto'} alignItems={'flex-start'}>
|
||||
<Box mr={media(4, 1)}>
|
||||
<Image
|
||||
src={item.obj === 'Human' ? '/imgs/human.png' : '/imgs/modelAvatar.png'}
|
||||
alt="/imgs/modelAvatar.png"
|
||||
width={30}
|
||||
height={30}
|
||||
src={item.obj === 'Human' ? '/icon/human.png' : '/icon/logo.png'}
|
||||
alt="/icon/logo.png"
|
||||
width={media(30, 20)}
|
||||
height={media(30, 20)}
|
||||
/>
|
||||
</Box>
|
||||
<Box flex={'1 0 0'} w={0} overflowX={'auto'}>
|
||||
<Box flex={'1 0 0'} w={0} overflow={'hidden'}>
|
||||
{item.obj === 'AI' ? (
|
||||
<Markdown
|
||||
source={item.value}
|
||||
@@ -320,6 +330,16 @@ const Chat = () => {
|
||||
</Box>
|
||||
))}
|
||||
</Box>
|
||||
{/* 空内容提示 */}
|
||||
{/* {
|
||||
chatList.length === 0 && (
|
||||
<>
|
||||
<Card>
|
||||
内容太长
|
||||
</Card>
|
||||
</>
|
||||
)
|
||||
} */}
|
||||
<Box
|
||||
m={media('20px auto', '0 auto')}
|
||||
w={media('100vw', '100%')}
|
||||
@@ -331,11 +351,7 @@ const Chat = () => {
|
||||
<Box textAlign={'center'}>
|
||||
<Box color={'red'}>对话出现了异常</Box>
|
||||
<Flex py={5} justifyContent={'center'}>
|
||||
<Button
|
||||
mr={20}
|
||||
onClick={() => router.replace(`/chat?chatId=${chatId}`)}
|
||||
colorScheme={'green'}
|
||||
>
|
||||
<Button mr={20} onClick={resetChat} colorScheme={'green'}>
|
||||
重开对话
|
||||
</Button>
|
||||
<Button onClick={reEdit}>重新编辑最后一句</Button>
|
||||
@@ -409,3 +425,12 @@ const Chat = () => {
|
||||
};
|
||||
|
||||
export default Chat;
|
||||
|
||||
export async function getServerSideProps(context: any) {
|
||||
const chatId = context.query?.chatId || '';
|
||||
const windowId = context.query?.windowId || '';
|
||||
|
||||
return {
|
||||
props: { chatId, windowId }
|
||||
};
|
||||
}
|
||||
|
||||
@@ -50,10 +50,6 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
async ({ email, code, password }: RegisterType) => {
|
||||
setRequesting(true);
|
||||
try {
|
||||
toast({
|
||||
title: `密码已找回`,
|
||||
status: 'success'
|
||||
});
|
||||
loginSuccess(
|
||||
await postFindPassword({
|
||||
email,
|
||||
@@ -61,13 +57,15 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
password
|
||||
})
|
||||
);
|
||||
} catch (error) {
|
||||
typeof error === 'string' &&
|
||||
toast({
|
||||
title: error,
|
||||
status: 'error',
|
||||
position: 'top'
|
||||
});
|
||||
toast({
|
||||
title: `密码已找回`,
|
||||
status: 'success'
|
||||
});
|
||||
} catch (error: any) {
|
||||
toast({
|
||||
title: error.message || '修改密码异常',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setRequesting(false);
|
||||
},
|
||||
@@ -77,7 +75,7 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
return (
|
||||
<>
|
||||
<Box fontWeight={'bold'} fontSize={'2xl'} textAlign={'center'}>
|
||||
找回 DocGPT 账号
|
||||
找回 FastGPT 账号
|
||||
</Box>
|
||||
<form onSubmit={handleSubmit(onclickFindPassword)}>
|
||||
<FormControl mt={8} isInvalid={!!errors.email}>
|
||||
|
||||
@@ -32,23 +32,21 @@ const LoginForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
async ({ email, password }: LoginFormType) => {
|
||||
setRequesting(true);
|
||||
try {
|
||||
toast({
|
||||
title: '登录成功',
|
||||
status: 'success'
|
||||
});
|
||||
loginSuccess(
|
||||
await postLogin({
|
||||
email,
|
||||
password
|
||||
})
|
||||
);
|
||||
} catch (error) {
|
||||
typeof error === 'string' &&
|
||||
toast({
|
||||
title: error,
|
||||
status: 'error',
|
||||
position: 'top'
|
||||
});
|
||||
toast({
|
||||
title: '登录成功',
|
||||
status: 'success'
|
||||
});
|
||||
} catch (error: any) {
|
||||
toast({
|
||||
title: error.message || '登录异常',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setRequesting(false);
|
||||
},
|
||||
@@ -58,7 +56,7 @@ const LoginForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
return (
|
||||
<>
|
||||
<Box fontWeight={'bold'} fontSize={'2xl'} textAlign={'center'}>
|
||||
登录 DocGPT
|
||||
登录 FastGPT
|
||||
</Box>
|
||||
<form onSubmit={handleSubmit(onclickLogin)}>
|
||||
<FormControl mt={8} isInvalid={!!errors.email}>
|
||||
|
||||
@@ -50,10 +50,6 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
async ({ email, password, code }: RegisterType) => {
|
||||
setRequesting(true);
|
||||
try {
|
||||
toast({
|
||||
title: `注册成功`,
|
||||
status: 'success'
|
||||
});
|
||||
loginSuccess(
|
||||
await postRegister({
|
||||
email,
|
||||
@@ -61,14 +57,15 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
password
|
||||
})
|
||||
);
|
||||
} catch (error) {
|
||||
typeof error === 'string' &&
|
||||
toast({
|
||||
title: error,
|
||||
status: 'error',
|
||||
duration: 4000,
|
||||
isClosable: true
|
||||
});
|
||||
toast({
|
||||
title: `注册成功`,
|
||||
status: 'success'
|
||||
});
|
||||
} catch (error: any) {
|
||||
toast({
|
||||
title: error.message || '注册异常',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setRequesting(false);
|
||||
},
|
||||
@@ -78,7 +75,7 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
return (
|
||||
<>
|
||||
<Box fontWeight={'bold'} fontSize={'2xl'} textAlign={'center'}>
|
||||
注册 DocGPT 账号
|
||||
注册 FastGPT 账号
|
||||
</Box>
|
||||
<form onSubmit={handleSubmit(onclickRegister)}>
|
||||
<FormControl mt={8} isInvalid={!!errors.email}>
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import React, { useState, useCallback, useMemo } from 'react';
|
||||
import React, { useState, useCallback, useEffect } from 'react';
|
||||
import styles from './index.module.scss';
|
||||
import { Box, Flex, Image } from '@chakra-ui/react';
|
||||
import { PageTypeEnum } from '@/constants/user';
|
||||
@@ -21,7 +21,7 @@ const Login = () => {
|
||||
const loginSuccess = useCallback(
|
||||
(res: ResLogin) => {
|
||||
setUserInfo(res.user, res.token);
|
||||
router.push('/');
|
||||
router.push('/model/list');
|
||||
},
|
||||
[router, setUserInfo]
|
||||
);
|
||||
@@ -38,6 +38,10 @@ const Login = () => {
|
||||
return <Component setPageType={setPageType} loginSuccess={loginSuccess} />;
|
||||
}
|
||||
|
||||
useEffect(() => {
|
||||
router.prefetch('/model/list');
|
||||
}, [router]);
|
||||
|
||||
return (
|
||||
<Box className={styles.loginPage} h={'100%'} p={isPc ? '10vh 10vw' : 0}>
|
||||
<Flex
|
||||
|
||||
@@ -34,7 +34,7 @@ const ModelEditForm = ({ model }: { model?: ModelType }) => {
|
||||
status: 'success'
|
||||
});
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
console.log('error->', err);
|
||||
toast({
|
||||
title: err as string,
|
||||
status: 'success'
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import React from 'react';
|
||||
import { Box, Button, Flex, Heading, Tag } from '@chakra-ui/react';
|
||||
import React, { useEffect } from 'react';
|
||||
import { Box, Button, Flex, Tag } from '@chakra-ui/react';
|
||||
import type { ModelType } from '@/types/model';
|
||||
import { formatModelStatus } from '@/constants/model';
|
||||
import dayjs from 'dayjs';
|
||||
@@ -14,6 +14,10 @@ const ModelPhoneList = ({
|
||||
}) => {
|
||||
const router = useRouter();
|
||||
|
||||
useEffect(() => {
|
||||
router.prefetch('/chat');
|
||||
}, [router]);
|
||||
|
||||
return (
|
||||
<Box borderRadius={'md'} overflow={'hidden'} mb={5}>
|
||||
{models.map((model) => (
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import React from 'react';
|
||||
import { useEffect } from 'react';
|
||||
import {
|
||||
Button,
|
||||
Table,
|
||||
@@ -84,6 +84,10 @@ const ModelTable = ({
|
||||
}
|
||||
];
|
||||
|
||||
useEffect(() => {
|
||||
router.prefetch('/chat');
|
||||
}, [router]);
|
||||
|
||||
return (
|
||||
<Card py={3}>
|
||||
<TableContainer>
|
||||
|
||||
@@ -29,7 +29,7 @@ const Training = ({ model }: { model: ModelType }) => {
|
||||
const res = await getModelTrainings(id);
|
||||
setRecords(res);
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
console.log('error->', error);
|
||||
}
|
||||
}, []);
|
||||
|
||||
|
||||
@@ -41,17 +41,16 @@ const ModelDetail = () => {
|
||||
const res = await getModelById(modelId as string);
|
||||
res.security.expiredTime /= 60 * 60 * 1000;
|
||||
setModel(res);
|
||||
|
||||
console.log(res);
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
console.log('error->', err);
|
||||
}
|
||||
setLoading(false);
|
||||
}, [modelId, setLoading]);
|
||||
|
||||
useEffect(() => {
|
||||
loadModel();
|
||||
}, [loadModel, modelId]);
|
||||
router.prefetch('/chat');
|
||||
}, [loadModel, modelId, router]);
|
||||
|
||||
/* 点击删除 */
|
||||
const handleDelModel = useCallback(async () => {
|
||||
@@ -65,7 +64,7 @@ const ModelDetail = () => {
|
||||
});
|
||||
router.replace('/model/list');
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
console.log('error->', err);
|
||||
}
|
||||
setLoading(false);
|
||||
}, [setLoading, model, router, toast]);
|
||||
@@ -79,7 +78,7 @@ const ModelDetail = () => {
|
||||
|
||||
router.push(`/chat?chatId=${chatId}`);
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
console.log('error->', err);
|
||||
}
|
||||
setLoading(false);
|
||||
}, [setLoading, model, router]);
|
||||
@@ -107,7 +106,7 @@ const ModelDetail = () => {
|
||||
title: typeof err === 'string' ? err : '文件格式错误',
|
||||
status: 'error'
|
||||
});
|
||||
console.log(err);
|
||||
console.log('error->', err);
|
||||
}
|
||||
setLoading(false);
|
||||
},
|
||||
@@ -122,11 +121,15 @@ const ModelDetail = () => {
|
||||
try {
|
||||
await putModelTrainingStatus(model._id);
|
||||
loadModel();
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
} catch (error: any) {
|
||||
console.log('error->', error);
|
||||
toast({
|
||||
title: error.message || '更新失败',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setLoading(false);
|
||||
}, [setLoading, loadModel, model]);
|
||||
}, [model, setLoading, loadModel, toast]);
|
||||
|
||||
return (
|
||||
<>
|
||||
|
||||
@@ -10,10 +10,12 @@ import { useScreen } from '@/hooks/useScreen';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import dynamic from 'next/dynamic';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
|
||||
const CreateModel = dynamic(() => import('./components/CreateModel'));
|
||||
|
||||
const ModelList = () => {
|
||||
const { toast } = useToast();
|
||||
const { isPc } = useScreen();
|
||||
const router = useRouter();
|
||||
const [models, setModels] = useState<ModelType[]>([]);
|
||||
@@ -43,12 +45,16 @@ const ModelList = () => {
|
||||
router.push(`/chat?chatId=${chatId}`, undefined, {
|
||||
shallow: true
|
||||
});
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
} catch (err: any) {
|
||||
console.log('error->', err);
|
||||
toast({
|
||||
title: err.message || '出现一些异常',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setIsLoading(false);
|
||||
},
|
||||
[router, setIsLoading]
|
||||
[router, setIsLoading, toast]
|
||||
);
|
||||
|
||||
return (
|
||||
|
||||
@@ -12,8 +12,10 @@ import {
|
||||
Td,
|
||||
TableContainer,
|
||||
Select,
|
||||
Input
|
||||
Input,
|
||||
IconButton
|
||||
} from '@chakra-ui/react';
|
||||
import { DeleteIcon } from '@chakra-ui/icons';
|
||||
import { useForm, useFieldArray } from 'react-hook-form';
|
||||
import { UserUpdateParams } from '@/types/user';
|
||||
import { putUserInfo } from '@/api/user';
|
||||
@@ -130,7 +132,15 @@ const NumberSetting = () => {
|
||||
></Input>
|
||||
</Td>
|
||||
<Td>
|
||||
<Button onClick={() => removeAccount(i)}>删除</Button>
|
||||
<IconButton
|
||||
aria-label="删除账号"
|
||||
icon={<DeleteIcon />}
|
||||
colorScheme={'red'}
|
||||
onClick={() => {
|
||||
removeAccount(i);
|
||||
handleSubmit(onclickSave)();
|
||||
}}
|
||||
/>
|
||||
</Td>
|
||||
</Tr>
|
||||
))}
|
||||
|
||||
@@ -1,3 +1,10 @@
|
||||
export const openaiError: Record<string, string> = {
|
||||
context_length_exceeded: '内容超出长度'
|
||||
context_length_exceeded: '内容超长了,请重置对话',
|
||||
Unauthorized: 'API-KEY 不合法',
|
||||
rate_limit_reached: '同时访问用户过多,请稍后再试',
|
||||
'Bad Request': '上下文太多了,请重开对话~'
|
||||
};
|
||||
export const proxyError: Record<string, boolean> = {
|
||||
ECONNABORTED: true,
|
||||
ECONNRESET: true
|
||||
};
|
||||
|
||||
@@ -1,18 +1,28 @@
|
||||
import mongoose from 'mongoose';
|
||||
import type { Mongoose } from 'mongoose';
|
||||
|
||||
let cachedClient: Mongoose;
|
||||
|
||||
export async function connectToDatabase() {
|
||||
if (cachedClient && cachedClient.connection.readyState === 1) {
|
||||
return cachedClient;
|
||||
/**
|
||||
* 连接 MongoDB 数据库
|
||||
*/
|
||||
export async function connectToDatabase(): Promise<void> {
|
||||
if (global.mongodb) {
|
||||
return;
|
||||
}
|
||||
|
||||
cachedClient = await mongoose.connect(process.env.MONGODB_URI as string, {
|
||||
dbName: 'doc_gpt'
|
||||
});
|
||||
|
||||
return cachedClient;
|
||||
global.mongodb = 'connecting';
|
||||
console.log('connect mongo');
|
||||
try {
|
||||
mongoose.set('strictQuery', true);
|
||||
global.mongodb = await mongoose.connect(process.env.MONGODB_URI as string, {
|
||||
bufferCommands: true,
|
||||
dbName: 'doc_gpt',
|
||||
maxPoolSize: 5,
|
||||
minPoolSize: 1,
|
||||
maxConnecting: 5
|
||||
});
|
||||
} catch (error) {
|
||||
console.log('error->', 'mongo connect error');
|
||||
global.mongodb = null;
|
||||
}
|
||||
}
|
||||
|
||||
export * from './models/authCode';
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { NextApiResponse } from 'next';
|
||||
import { openaiError } from './errorCode';
|
||||
import { openaiError, proxyError } from './errorCode';
|
||||
|
||||
export interface ResponseType<T = any> {
|
||||
code: number;
|
||||
@@ -20,12 +20,16 @@ export const jsonRes = (
|
||||
|
||||
let msg = message;
|
||||
if ((code < 200 || code >= 400) && !message) {
|
||||
msg =
|
||||
typeof error === 'string'
|
||||
? error
|
||||
: openaiError[error?.response?.data?.message] || error?.message || '请求错误';
|
||||
msg = error?.message || '请求错误';
|
||||
if (typeof error === 'string') {
|
||||
msg = error;
|
||||
} else if (proxyError[error?.code]) {
|
||||
msg = '服务器代理出错';
|
||||
} else if (openaiError[error?.response?.statusText]) {
|
||||
msg = openaiError[error.response.statusText];
|
||||
}
|
||||
|
||||
console.log(msg);
|
||||
console.log('error->', error.code, error?.response?.statusText, msg);
|
||||
}
|
||||
|
||||
res.json({
|
||||
|
||||
@@ -35,7 +35,7 @@ export const authChat = async (chatId: string) => {
|
||||
const userApiKey = user.accounts?.find((item: any) => item.type === 'openai')?.value;
|
||||
|
||||
if (!userApiKey) {
|
||||
return Promise.reject('该用户缺少ApiKey, 无法请求');
|
||||
return Promise.reject('缺少ApiKey, 无法请求');
|
||||
}
|
||||
|
||||
return {
|
||||
|
||||
@@ -15,26 +15,26 @@ let mailTransport = nodemailer.createTransport({
|
||||
|
||||
const emailMap: { [key: string]: any } = {
|
||||
[EmailTypeEnum.register]: {
|
||||
subject: '注册 DocGPT 账号',
|
||||
html: (code: string) => `<div>您正在注册 DocGPT 账号,验证码为:${code}</div>`
|
||||
subject: '注册 FastGPT 账号',
|
||||
html: (code: string) => `<div>您正在注册 FastGPT 账号,验证码为:${code}</div>`
|
||||
},
|
||||
[EmailTypeEnum.findPassword]: {
|
||||
subject: '修改 DocGPT 密码',
|
||||
html: (code: string) => `<div>您正在修改 DocGPT 账号密码,验证码为:${code}</div>`
|
||||
subject: '修改 FastGPT 密码',
|
||||
html: (code: string) => `<div>您正在修改 FastGPT 账号密码,验证码为:${code}</div>`
|
||||
}
|
||||
};
|
||||
|
||||
export const sendCode = (email: string, code: string, type: `${EmailTypeEnum}`) => {
|
||||
return new Promise((resolve, reject) => {
|
||||
const options = {
|
||||
from: `"DocGPT" ${myEmail}`,
|
||||
from: `"FastGPT" ${myEmail}`,
|
||||
to: email,
|
||||
subject: emailMap[type]?.subject,
|
||||
html: emailMap[type]?.html(code)
|
||||
};
|
||||
mailTransport.sendMail(options, function (err, msg) {
|
||||
if (err) {
|
||||
console.log(err);
|
||||
console.log('error->', err);
|
||||
reject('邮箱异常');
|
||||
} else {
|
||||
resolve('');
|
||||
@@ -46,14 +46,14 @@ export const sendCode = (email: string, code: string, type: `${EmailTypeEnum}`)
|
||||
export const sendTrainSucceed = (email: string, modelName: string) => {
|
||||
return new Promise((resolve, reject) => {
|
||||
const options = {
|
||||
from: `"DocGPT" ${myEmail}`,
|
||||
from: `"FastGPT" ${myEmail}`,
|
||||
to: email,
|
||||
subject: '模型训练完成通知',
|
||||
html: `你的模型 ${modelName} 已于 ${dayjs().format('YYYY-MM-DD HH:mm')} 训练完成!`
|
||||
};
|
||||
mailTransport.sendMail(options, function (err, msg) {
|
||||
if (err) {
|
||||
console.log(err);
|
||||
console.log('error->', err);
|
||||
reject('邮箱异常');
|
||||
} else {
|
||||
resolve('');
|
||||
|
||||
@@ -49,15 +49,12 @@ export const getUserOpenaiKey = async (userId: string) => {
|
||||
};
|
||||
|
||||
/* 代理 */
|
||||
export const openaiProxy: any =
|
||||
process.env.AXIOS_PROXY_PORT && process.env.AXIOS_PROXY_HOST
|
||||
? {
|
||||
httpsAgent: tunnel.httpsOverHttp({
|
||||
proxy: {
|
||||
host: process.env.AXIOS_PROXY_HOST,
|
||||
port: +process.env.AXIOS_PROXY_PORT
|
||||
}
|
||||
}),
|
||||
proxy: false
|
||||
}
|
||||
export const httpsAgent =
|
||||
process.env.AXIOS_PROXY_HOST && process.env.AXIOS_PROXY_PORT
|
||||
? tunnel.httpsOverHttp({
|
||||
proxy: {
|
||||
host: process.env.AXIOS_PROXY_HOST,
|
||||
port: +process.env.AXIOS_PROXY_PORT
|
||||
}
|
||||
})
|
||||
: undefined;
|
||||
|
||||
@@ -50,6 +50,9 @@ svg {
|
||||
}
|
||||
|
||||
@media (max-width: 900px) {
|
||||
html {
|
||||
font-size: 14px;
|
||||
}
|
||||
::-webkit-scrollbar,
|
||||
::-webkit-scrollbar {
|
||||
width: 2px;
|
||||
|
||||
6
src/types/index.d.ts
vendored
Normal file
6
src/types/index.d.ts
vendored
Normal file
@@ -0,0 +1,6 @@
|
||||
import type { Mongoose } from 'mongoose';
|
||||
|
||||
declare global {
|
||||
var mongodb: Mongoose | string | null;
|
||||
}
|
||||
export {};
|
||||
@@ -21,7 +21,7 @@ export const useCopyData = () => {
|
||||
duration: 1000
|
||||
});
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
console.log('error->', error);
|
||||
toast({
|
||||
title: '复制失败',
|
||||
status: 'error'
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
const tokenKey = 'doc-gpt-token';
|
||||
const tokenKey = 'fast-gpt-token';
|
||||
|
||||
export const setToken = (val: string) => {
|
||||
localStorage.setItem(tokenKey, val);
|
||||
|
||||
@@ -19,6 +19,6 @@
|
||||
"@/*": ["./src/*"]
|
||||
}
|
||||
},
|
||||
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx"],
|
||||
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts"],
|
||||
"exclude": ["node_modules"]
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user