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This commit is contained in:
archer
2023-07-20 09:46:13 +08:00
parent c46a37541c
commit 62ee28b130
14 changed files with 147 additions and 257 deletions
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26
client/data/ChatModels.json
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@@ -1,26 +0,0 @@
{
"FastAI-4k": {
"model": "gpt-3.5-turbo",
"name": "FastAI-4k",
"contextMaxToken": 4000,
"systemMaxToken": 2400,
"maxTemperature": 1.2,
"price": 1.5
},
"FastAI-16k": {
"model": "gpt-3.5-turbo-16k",
"name": "FastAI-16k",
"contextMaxToken": 16000,
"systemMaxToken": 8000,
"maxTemperature": 1.2,
"price": 3
},
"FastAI-Plus": {
"model": "gpt-4",
"name": "FastAI-Plus",
"contextMaxToken": 8000,
"systemMaxToken": 4000,
"maxTemperature": 1.2,
"price": 45
}
}

9
client/data/FeConfig.json
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@@ -1,9 +0,0 @@
{
"show_emptyChat": true,
"show_register": true,
"show_appStore": true,
"show_userDetail": true,
"show_git": true,
"systemTitle": "FastAI",
"authorText": "Made by FastAI Team."
}

8
client/data/QAModels.json
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@@ -1,8 +0,0 @@
{
"FastAI-16k": {
"model": "gpt-3.5-turbo-16k",
"name": "FastAI-16k",
"maxToken": 16000,
"price": 3
}
}

6
client/data/SystemParams.json
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@@ -1,6 +0,0 @@
{
"vectorMaxProcess": 15,
"qaMaxProcess": 15,
"pgIvfflatProbe": 20,
"sensitiveCheck": false
}

7
client/data/VectorModels.json
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@@ -1,7 +0,0 @@
{
"text-embedding-ada-002": {
"model": "text-embedding-ada-002",
"name": "Embedding-2",
"price": 0.2
}
}

61
client/data/config.json Normal file
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@@ -0,0 +1,61 @@
{
"FeConfig": {
"show_emptyChat": true,
"show_register": true,
"show_appStore": true,
"show_userDetail": true,
"show_git": true,
"systemTitle": "FastAI",
"authorText": "Made by FastAI Team."
},
"SystemParams": {
"beianText": "",
"googleVerKey": "",
"baiduTongji": "",
"vectorMaxProcess": 15,
"qaMaxProcess": 15,
"pgIvfflatProbe": 20,
"sensitiveCheck": false
},
"ChatModels": [
{
"model": "gpt-3.5-turbo",
"name": "FastAI-4k",
"contextMaxToken": 4000,
"systemMaxToken": 2400,
"maxTemperature": 1.2,
"price": 1.5
},
{
"model": "gpt-3.5-turbo-16k",
"name": "FastAI-16k",
"contextMaxToken": 16000,
"systemMaxToken": 8000,
"maxTemperature": 1.2,
"price": 3
},
{
"model": "gpt-4",
"name": "FastAI-Plus",
"contextMaxToken": 8000,
"systemMaxToken": 4000,
"maxTemperature": 1.2,
"price": 45
}
],
"QAModels": [
{
"model": "gpt-3.5-turbo-16k",
"name": "FastAI-16k",
"maxToken": 16000,
"price": 3
}
],
"VectorModels": [
{
"model": "text-embedding-ada-002",
"name": "Embedding-2",
"price": 0.2
}
]
}

85
client/src/components/Layout/navbar.tsx
View File

@@ -19,50 +19,47 @@ const Navbar = ({ unread }: { unread: number }) => {
const router = useRouter();
const { userInfo } = useUserStore();
const { lastChatAppId, lastChatId } = useChatStore();
const navbarList = useMemo(
() => [
{
label: '聊天',
icon: 'chatLight',
activeIcon: 'chatFill',
link: `/chat?appId=${lastChatAppId}&chatId=${lastChatId}`,
activeLink: ['/chat']
},
{
label: '应用',
icon: 'appLight',
activeIcon: 'appFill',
link: `/app/list`,
activeLink: ['/app/list', '/app/detail']
},
{
label: '知识库',
icon: 'dbLight',
activeIcon: 'dbFill',
link: `/kb/list`,
activeLink: ['/kb/list', '/kb/detail']
},
...(feConfigs?.show_appStore
? [
{
label: '市场',
icon: 'appStoreLight',
activeIcon: 'appStoreFill',
link: '/appStore',
activeLink: ['/appStore']
}
]
: []),
{
label: '账号',
icon: 'meLight',
activeIcon: 'meFill',
link: '/number',
activeLink: ['/number']
}
],
[lastChatId, lastChatAppId]
);
const navbarList = [
{
label: '聊天',
icon: 'chatLight',
activeIcon: 'chatFill',
link: `/chat?appId=${lastChatAppId}&chatId=${lastChatId}`,
activeLink: ['/chat']
},
{
label: '应用',
icon: 'appLight',
activeIcon: 'appFill',
link: `/app/list`,
activeLink: ['/app/list', '/app/detail']
},
{
label: '知识库',
icon: 'dbLight',
activeIcon: 'dbFill',
link: `/kb/list`,
activeLink: ['/kb/list', '/kb/detail']
},
...(feConfigs?.show_appStore
? [
{
label: '市场',
icon: 'appStoreLight',
activeIcon: 'appStoreFill',
link: '/appStore',
activeLink: ['/appStore']
}
]
: []),
{
label: '账号',
icon: 'meLight',
activeIcon: 'meFill',
link: '/number',
activeLink: ['/number']
}
];
const itemStyles: any = {
my: 3,

4
client/src/pages/_app.tsx
View File

@@ -41,7 +41,9 @@ function App({ Component, pageProps, isPc }: AppProps & { isPc?: boolean; respon
useEffect(() => {
(async () => {
const { googleVerKey, baiduTongji } = await clientInitData();
const {
systemEnv: { googleVerKey, baiduTongji }
} = await clientInitData();
setGoogleVerKey(googleVerKey);
setBaiduTongji(baiduTongji);
})();

35
client/src/pages/api/system/getInitData.ts
View File

@@ -1,37 +1,44 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { FeConfigsType, SystemEnvType } from '@/types';
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { readFileSync } from 'fs';
import {
type QAModelItemType,
type ChatModelItemType,
type VectorModelItemType
} from '@/types/model';
import type { FeConfigsType } from '@/types';
export type InitDateResponse = {
beianText: string;
googleVerKey: string;
baiduTongji: string;
chatModels: ChatModelItemType[];
qaModels: QAModelItemType[];
vectorModels: VectorModelItemType[];
systemEnv: SystemEnvType;
feConfigs: FeConfigsType;
};
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
const envs = {
beianText: process.env.SAFE_BEIAN_TEXT || '',
googleVerKey: process.env.CLIENT_GOOGLE_VER_TOKEN || '',
baiduTongji: process.env.BAIDU_TONGJI || ''
};
jsonRes<InitDateResponse>(res, {
data: {
...envs,
systemEnv: global.systemEnv,
feConfigs: global.feConfigs,
chatModels: global.chatModels,
qaModels: global.qaModels,
vectorModels: global.vectorModels,
feConfigs: global.feConfigs
vectorModels: global.vectorModels
}
});
}
export async function getInitConfig() {
try {
const res = JSON.parse(readFileSync('data/config.json', 'utf-8'));
console.log(res);
global.systemEnv = res.SystemParams;
global.feConfigs = res.FeConfig;
global.chatModels = res.ChatModels;
global.qaModels = res.QAModels;
global.vectorModels = res.VectorModels;
} catch (error) {
console.log('get init config error');
}
}

123
client/src/pages/api/system/updateEnv.ts
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@@ -1,123 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser } from '@/service/utils/auth';
import { readFileSync } from 'fs';
import {
type QAModelItemType,
type ChatModelItemType,
type VectorModelItemType
} from '@/types/model';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
await authUser({ req, authRoot: true });
updateSystemEnv();
jsonRes(res);
}
export async function updateSystemEnv() {
try {
const res = JSON.parse(readFileSync('data/SystemParams.json', 'utf-8'));
global.systemEnv = {
...global.systemEnv,
...res
};
console.log(global.systemEnv);
} catch (error) {
console.log('update system env error');
}
}
const defaultmodels = {
'FastAI-4k': {
model: 'gpt-3.5-turbo',
name: 'FastAI-4k',
contextMaxToken: 4000,
systemMaxToken: 2400,
maxTemperature: 1.2,
price: 1.5
},
'FastAI-16k': {
model: 'gpt-3.5-turbo',
name: 'FastAI-16k',
contextMaxToken: 16000,
systemMaxToken: 8000,
maxTemperature: 1.2,
price: 3
},
'FastAI-Plus': {
model: 'gpt-4',
name: 'FastAI-Plus',
contextMaxToken: 8000,
systemMaxToken: 4000,
maxTemperature: 1.2,
price: 45
}
};
const defaultQaModels = {
'FastAI-16k': {
model: 'gpt-3.5-turbo',
name: 'FastAI-16k',
maxToken: 16000,
price: 3
}
};
const defaultVectorModels = {
'text-embedding-ada-002': {
model: 'text-embedding-ada-002',
name: 'Embedding-2',
price: 0.2
}
};
export function initSystemModels() {
const { chatModels, qaModels, vectorModels } = (() => {
try {
const chatModels = Object.values(JSON.parse(readFileSync('data/ChatModels.json', 'utf-8')));
const qaModels = Object.values(JSON.parse(readFileSync('data/QAModels.json', 'utf-8')));
const vectorModels = Object.values(
JSON.parse(readFileSync('data/VectorModels.json', 'utf-8'))
);
return {
chatModels,
qaModels,
vectorModels
};
} catch (error) {
console.log(error);
return {
chatModels: Object.values(defaultmodels),
qaModels: Object.values(defaultQaModels),
vectorModels: Object.values(defaultVectorModels)
};
}
})() as {
chatModels: ChatModelItemType[];
qaModels: QAModelItemType[];
vectorModels: VectorModelItemType[];
};
global.chatModels = chatModels;
global.qaModels = qaModels;
global.vectorModels = vectorModels;
console.log({
chatModels,
qaModels,
vectorModels
});
return {
chatModels,
qaModels,
vectorModels
};
}
export function initFeConfig() {
const feConfig = JSON.parse(readFileSync('data/FeConfig.json', 'utf-8'));
global.feConfigs = feConfig;
console.log(feConfig);
return feConfig;
}

4
client/src/pages/number/index.tsx
View File

@@ -147,7 +147,7 @@ const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
);
return (
<>
<Box h={'100%'} overflow={'overlay'}>
<Box py={[5, 10]} px={'5vw'}>
<Grid gridTemplateColumns={['1fr', '3fr 300px']} gridGap={4}>
<Card px={6} py={4}>
@@ -257,7 +257,7 @@ const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
{isOpenPayModal && <PayModal onClose={onClosePayModal} />}
{isOpenWxConcat && <WxConcat onClose={onCloseWxConcat} />}
<File onSelect={onSelectFile} />
</>
</Box>
);
};

7
client/src/service/mongo.ts
View File

@@ -1,7 +1,7 @@
import mongoose from 'mongoose';
import tunnel from 'tunnel';
import { startQueue } from './utils/tools';
import { updateSystemEnv, initSystemModels, initFeConfig } from '@/pages/api/system/updateEnv';
import { getInitConfig } from '@/pages/api/system/getInitData';
/**
* 连接 MongoDB 数据库
@@ -23,7 +23,6 @@ export async function connectToDatabase(): Promise<void> {
};
global.sendInformQueue = [];
global.sendInformQueueLen = 0;
global.feConfigs = {};
// proxy obj
if (process.env.AXIOS_PROXY_HOST && process.env.AXIOS_PROXY_PORT) {
global.httpsAgent = tunnel.httpsOverHttp({
@@ -35,9 +34,7 @@ export async function connectToDatabase(): Promise<void> {
}
// init function
initSystemModels();
initFeConfig();
updateSystemEnv();
getInitConfig();
try {
mongoose.set('strictQuery', true);

13
client/src/store/static.ts
View File

@@ -8,9 +8,9 @@ import { getInitData } from '@/api/system';
import { delay } from '@/utils/tools';
import { FeConfigsType } from '@/types';
export let beianText = '';
export let googleVerKey = '';
export let baiduTongji = '';
export let beianText: string | undefined;
export let googleVerKey: string | undefined;
export let baiduTongji: string | undefined;
export let chatModelList: ChatModelItemType[] = [];
export let qaModelList: QAModelItemType[] = [];
export let vectorModelList: VectorModelItemType[] = [];
@@ -26,9 +26,10 @@ export const clientInitData = async (): Promise<InitDateResponse> => {
qaModelList = res.qaModels;
vectorModelList = res.vectorModels;
feConfigs = res.feConfigs;
beianText = res.beianText;
googleVerKey = res.googleVerKey;
baiduTongji = res.baiduTongji;
beianText = res.systemEnv.beianText;
googleVerKey = res.systemEnv.googleVerKey;
baiduTongji = res.systemEnv.baiduTongji;
console.log(res);
return res;
} catch (error) {

16
client/src/types/index.d.ts vendored
View File

@@ -22,6 +22,15 @@ export type FeConfigsType = {
systemTitle?: string;
authorText?: string;
};
export type SystemEnvType = {
beianText?: string;
googleVerKey?: string;
baiduTongji?: string;
vectorMaxProcess: number;
qaMaxProcess: number;
pgIvfflatProbe: number;
sensitiveCheck: boolean;
};
declare global {
var mongodb: Mongoose | string | null;
@@ -32,12 +41,7 @@ declare global {
var OpenAiEncMap: Tiktoken;
var sendInformQueue: (() => Promise<void>)[];
var sendInformQueueLen: number;
var systemEnv: {
vectorMaxProcess: number;
qaMaxProcess: number;
pgIvfflatProbe: number;
sensitiveCheck: boolean;
};
var systemEnv: SystemEnvType;
var chatModels: ChatModelItemType[];
var qaModels: QAModelItemType[];
var vectorModels: VectorModelItemType[];