FastGPT/admin/src/Dashboard.tsx
2023-07-04 11:52:31 +08:00

274 lines
7.5 KiB
TypeScript

import { Card, Link, Space, Grid, Divider, Typography } from '@arco-design/web-react';
import { IconApps, IconUser, IconUserGroup } from 'tushan/icon';
import React, { useState, useEffect } from 'react';
import { useTranslation } from 'react-i18next';
import {
XAxis,
YAxis,
CartesianGrid,
Tooltip,
ResponsiveContainer,
AreaChart,
Area
} from 'tushan/chart';
import dayjs from 'dayjs';
const authStorageKey = 'tushan:auth';
const PRICE_SCALE = 100000;
type fetchChatData = {
count: number;
total?: number;
date: string;
increase?: number;
increaseRate?: string;
};
type chatDataType = {
date: string;
userCount: number;
userIncrease?: number;
userIncreaseRate?: string;
payTotal: number;
payCount: number;
};
export const Dashboard: React.FC = React.memo(() => {
const [userCount, setUserCount] = useState(0); //用户数量
const [kbCount, setkbCount] = useState(0);
const [modelCount, setmodelCount] = useState(0);
const [chatData, setChatData] = useState<chatDataType[]>([]);
useEffect(() => {
const baseUrl = import.meta.env.VITE_PUBLIC_SERVER_URL;
const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
const headers = {
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`
};
const fetchCounts = async () => {
const userResponse = await fetch(`${baseUrl}/users?_end=1`, {
headers
});
const kbResponse = await fetch(`${baseUrl}/kbs?_end=1`, {
headers
});
const modelResponse = await fetch(`${baseUrl}/models?_end=1`, {
headers
});
const userTotalCount = userResponse.headers.get('X-Total-Count');
const kbTotalCount = kbResponse.headers.get('X-Total-Count');
const modelTotalCount = modelResponse.headers.get('X-Total-Count');
if (userTotalCount) {
setUserCount(Number(userTotalCount));
}
if (kbTotalCount) {
setkbCount(Number(kbTotalCount));
}
if (modelTotalCount) {
setmodelCount(Number(modelTotalCount));
}
};
const fetchChatData = async () => {
const [userResponse, payResponse]: fetchChatData[][] = await Promise.all([
fetch(`${baseUrl}/users/data`, {
headers
}).then((res) => res.json()),
fetch(`${baseUrl}/pays/data`, {
headers
}).then((res) => res.json())
]);
const data = userResponse.map((item, i) => {
const pay = payResponse.find((pay) => item.date === pay.date);
return {
date: dayjs(item.date).format('MM/DD'),
userCount: item.count,
userIncrease: item.increase,
userIncreaseRate: item.increaseRate,
payCount: pay ? pay.count / PRICE_SCALE : 0,
payTotal: pay?.total ? pay.total / PRICE_SCALE : 0
};
});
setChatData(data);
};
fetchCounts();
fetchChatData();
}, []);
return (
<div>
<div>
<Space direction="vertical" style={{ width: '100%' }}>
<Card bordered={false}>
<Typography.Title heading={5}>FastGpt Admin</Typography.Title>
<Divider />
<Grid.Row justify="center">
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
{/* 把 userCount 传递给 DataItem 组件 */}
<DataItem icon={<IconUser />} title={'用户'} count={userCount} />
</Grid.Col>
<Divider type="vertical" style={{ height: 40 }} />
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
<DataItem icon={<IconUserGroup />} title={'知识库'} count={kbCount} />
</Grid.Col>
<Divider type="vertical" style={{ height: 40 }} />
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
<DataItem icon={<IconApps />} title={'应用'} count={modelCount} />
</Grid.Col>
</Grid.Row>
<Divider />
<div>
<strong> & </strong>
<UserChart data={chatData} />
</div>
<Divider />
</Card>
</Space>
</div>
</div>
);
});
Dashboard.displayName = 'Dashboard';
const DashboardItem = React.memo(
(props: { title: string; href?: string; children: React.ReactNode }) => {
const { t } = useTranslation();
return (
<Card
title={props.title}
extra={
props.href && (
<Link target="_blank" href={props.href}>
{t('tushan.dashboard.more')}
</Link>
)
}
bordered={false}
style={{ overflow: 'hidden' }}
>
{props.children}
</Card>
);
}
);
DashboardItem.displayName = 'DashboardItem';
const DataItem = React.memo((props: { icon: React.ReactElement; title: string; count: number }) => {
return (
<Space>
<div
style={{
fontSize: 20,
padding: '0.5rem',
borderRadius: '9999px',
border: '1px solid #ccc',
width: 24,
height: 24,
display: 'flex',
justifyContent: 'center',
alignItems: 'center'
}}
>
{props.icon}
</div>
<div>
<div style={{ fontWeight: 700 }}>{props.title}</div>
<div>{props.count}</div>
</div>
</Space>
);
});
DataItem.displayName = 'DataItem';
const CustomTooltip = ({ active, payload }: any) => {
const data = payload?.[0]?.payload as chatDataType;
if (active && data) {
return (
<div
style={{
background: 'white',
padding: '5px 8px',
borderRadius: '8px',
boxShadow: '2px 2px 5px rgba(0,0,0,0.2)'
}}
>
<p className="label">
: <strong>{data.date}</strong>
</p>
<p className="label">
: <strong>{data.userCount}</strong>
</p>
<p className="label">
: <strong>{data.userIncrease}</strong>
</p>
<p className="label">
: <strong>{data.payCount}</strong>
</p>
<p className="label">
60: <strong>{data.payTotal}</strong>
</p>
</div>
);
}
return null;
};
const UserChart = ({ data }: { data: chatDataType[] }) => {
return (
<ResponsiveContainer width="100%" height={320}>
<AreaChart
width={730}
height={250}
data={data}
margin={{ top: 10, right: 30, left: 0, bottom: 0 }}
>
<defs>
<linearGradient id="userCount" x1="0" y1="0" x2="0" y2="1">
<stop offset="5%" stopColor="#82ca9d" stopOpacity={0.8} />
<stop offset="95%" stopColor="#82ca9d" stopOpacity={0} />
</linearGradient>
<linearGradient id="payTotal" x1="0" y1="0" x2="0" y2="1">
<stop offset="5%" stopColor="#8884d8" stopOpacity={0.8} />
<stop offset="95%" stopColor="#8884d8" stopOpacity={0} />
</linearGradient>
</defs>
<XAxis dataKey="date" />
<YAxis />
<CartesianGrid strokeDasharray="3 3" />
<Tooltip content={<CustomTooltip />} />
<Area
type="monotone"
dataKey="userCount"
stroke="#82ca9d"
fillOpacity={1}
fill="url(#userCount)"
/>
<Area
type="monotone"
dataKey="payTotal"
stroke="#8884d8"
fillOpacity={1}
fill="url(#payTotal)"
/>
</AreaChart>
</ResponsiveContainer>
);
};