Files
shihezi-admin/src/pages/Analysis/Industrytrend/index.tsx

676 lines
21 KiB
TypeScript
Raw Normal View History

2025-05-30 14:26:32 +08:00
import React, { useEffect, useState, useMemo, useRef } from 'react';
import { Card, Select, Button, Space, Spin, Empty, Row, Col, message, DatePicker, Tabs } from 'antd';
import { Line, Heatmap } from '@ant-design/charts';
import { getIndustryTrend, getIndustryAreaTrend, getSalaryTrend } from '@/services/analysis/industry';
2025-05-26 11:28:13 +08:00
import dayjs from 'dayjs';
import { useRequest } from '@umijs/max';
2025-05-30 14:26:32 +08:00
import {
2025-05-26 13:35:01 +08:00
TimeDimension,
AnalysisType,
IndustryTrendState,
IndustryDataItem,
2025-05-30 14:26:32 +08:00
ChartConfig,
2025-05-26 13:35:01 +08:00
} from '@/types/analysis/industry';
2025-05-30 14:26:32 +08:00
import { formatQuarter, formatDateForDisplay, convertApiData, convertSalaryData } from './utils';
2025-05-26 11:28:13 +08:00
const { Option } = Select;
2025-05-26 12:19:08 +08:00
const { RangePicker } = DatePicker;
2025-05-30 14:26:32 +08:00
const { TabPane } = Tabs;
const flattenAreaData = (apiResponse: any) => {
if (!apiResponse || typeof apiResponse !== 'object') {
return [];
}
const flattenedData = [];
for (const month in apiResponse) {
if (apiResponse.hasOwnProperty(month)) {
const areas = apiResponse[month];
areas.forEach((area) => {
flattenedData.push({
name: area.name,
time: area.time,
value: parseInt(area.data) || 0,
});
});
}
}
return flattenedData;
};
2025-05-26 12:19:08 +08:00
2025-05-26 11:28:13 +08:00
const IndustryTrendPage: React.FC = () => {
2025-05-26 13:35:01 +08:00
const [params, setParams] = useState<IndustryTrendState>({
timeDimension: '月',
type: '岗位发布数量',
2025-05-26 12:19:08 +08:00
startTime: dayjs().subtract(5, 'month').format('YYYY-MM'),
2025-05-26 11:28:13 +08:00
endTime: dayjs().format('YYYY-MM'),
2025-05-30 14:26:32 +08:00
selectedIndustry: '',
selectedSalaryRange: '',
analysisCategory: 'industry', // 默认显示行业分析
2025-05-26 11:28:13 +08:00
});
2025-05-26 12:19:08 +08:00
2025-05-26 11:28:13 +08:00
const [allData, setAllData] = useState<IndustryDataItem[]>([]);
2025-05-30 14:26:32 +08:00
const [areaData, setAreaData] = useState<any[]>([]);
const [salaryData, setSalaryData] = useState<any[]>([]);
2025-05-26 12:19:08 +08:00
const [availableIndustries, setAvailableIndustries] = useState<string[]>([]);
2025-05-30 14:26:32 +08:00
const [availableSalaryRanges, setAvailableSalaryRanges] = useState<string[]>([]);
const heatmapRef = useRef(null);
2025-05-26 13:35:01 +08:00
2025-05-30 14:26:32 +08:00
// 获取行业趋势数据
const { loading: industryLoading, run: fetchIndustryData } = useRequest(
2025-05-26 12:19:08 +08:00
async () => {
2025-05-26 13:35:01 +08:00
let { startTime, endTime, timeDimension, type } = params;
2025-05-30 14:26:32 +08:00
2025-05-26 13:35:01 +08:00
if (timeDimension === '季度') {
startTime = formatQuarter(startTime);
endTime = formatQuarter(endTime);
2025-05-26 12:19:08 +08:00
}
2025-05-30 14:26:32 +08:00
2025-05-26 13:35:01 +08:00
return await getIndustryTrend({
timeDimension,
type,
startTime,
2025-05-30 14:26:32 +08:00
endTime,
2025-05-26 13:35:01 +08:00
});
2025-05-26 12:19:08 +08:00
},
2025-05-26 11:28:13 +08:00
{
manual: true,
2025-05-26 12:19:08 +08:00
onSuccess: (data) => {
const formattedData = convertApiData(data);
2025-05-26 11:28:13 +08:00
setAllData(formattedData);
2025-05-30 14:26:32 +08:00
const industries = Array.from(new Set(formattedData.map((item: any) => item.category)))
.filter(Boolean)
.sort();
2025-05-26 12:19:08 +08:00
setAvailableIndustries(industries);
2025-05-30 14:26:32 +08:00
2025-05-26 12:19:08 +08:00
if (industries.length > 0 && !industries.includes(params.selectedIndustry)) {
2025-05-30 14:26:32 +08:00
setParams((p) => ({ ...p, selectedIndustry: industries[0] }));
2025-05-26 12:19:08 +08:00
}
2025-05-26 13:35:01 +08:00
},
2025-05-30 14:26:32 +08:00
onError: (error) => {
message.error('行业数据加载失败');
},
},
);
// 获取地区趋势数据
const { loading: areaLoading, run: fetchAreaData } = useRequest(
async () => {
let { startTime, endTime, timeDimension, type } = params;
if (timeDimension === '季度') {
startTime = formatQuarter(startTime);
endTime = formatQuarter(endTime);
}
return await getIndustryAreaTrend({
timeDimension,
type,
startTime,
endTime,
});
},
{
manual: true,
onSuccess: (res) => {
const formattedData = flattenAreaData(res);
setAreaData(formattedData);
},
onError: (error) => {
message.error('地区数据加载失败');
},
},
);
// 获取薪资趋势数据
const { loading: salaryLoading, run: fetchSalaryData } = useRequest(
async () => {
let { startTime, endTime, timeDimension, type } = params;
if (timeDimension === '季度') {
startTime = formatQuarter(startTime);
endTime = formatQuarter(endTime);
}
return await getSalaryTrend({
timeDimension,
type,
startTime,
endTime,
});
},
{
manual: true,
onSuccess: (data) => {
const formattedData = convertSalaryData(data);
setSalaryData(formattedData);
const ranges = Array.from(new Set(formattedData.map((item: any) => item.category)))
.filter(Boolean)
.sort();
setAvailableSalaryRanges(ranges);
if (ranges.length > 0 && !ranges.includes(params.selectedSalaryRange)) {
setParams((p) => ({ ...p, selectedSalaryRange: ranges[0] }));
}
},
onError: (error) => {
message.error('薪资数据加载失败');
},
},
2025-05-26 11:28:13 +08:00
);
2025-05-26 12:19:08 +08:00
2025-05-30 14:26:32 +08:00
// 根据分析类别获取当前数据
const currentData = useMemo(() => {
if (params.analysisCategory === 'industry') {
return allData
.filter((item) => item.category === params.selectedIndustry)
.map((item) => ({
...item,
originalDate: item.date,
date: formatDateForDisplay(item.date, params.timeDimension),
}))
.sort((a, b) => {
if (params.timeDimension === '季度') {
const [yearA, quarterA] = a.originalDate.split('-');
const [yearB, quarterB] = b.originalDate.split('-');
const quarterToNumber = (q: string) => {
if (q.includes('第一')) return 1;
if (q.includes('第二')) return 2;
if (q.includes('第三')) return 3;
if (q.includes('第四')) return 4;
return 0;
};
return yearA === yearB
? quarterToNumber(quarterA) - quarterToNumber(quarterB)
: parseInt(yearA) - parseInt(yearB);
} else if (params.timeDimension === '年') {
return parseInt(a.originalDate) - parseInt(b.originalDate);
} else {
return dayjs(a.originalDate).valueOf() - dayjs(b.originalDate).valueOf();
}
});
} else if (params.analysisCategory === 'salary') {
return salaryData
.filter((item) => item.category === params.selectedSalaryRange)
.map((item) => ({
...item,
originalDate: item.date,
date: formatDateForDisplay(item.date, params.timeDimension),
}))
.sort((a, b) => {
if (params.timeDimension === '季度') {
const [yearA, quarterA] = a.originalDate.split('-');
const [yearB, quarterB] = b.originalDate.split('-');
const quarterToNumber = (q: string) => {
if (q.includes('第一')) return 1;
if (q.includes('第二')) return 2;
if (q.includes('第三')) return 3;
if (q.includes('第四')) return 4;
return 0;
};
return yearA === yearB
? quarterToNumber(quarterA) - quarterToNumber(quarterB)
: parseInt(yearA) - parseInt(yearB);
} else if (params.timeDimension === '年') {
return parseInt(a.originalDate) - parseInt(b.originalDate);
} else {
return dayjs(a.originalDate).valueOf() - dayjs(b.originalDate).valueOf();
}
});
}
return [];
}, [allData, salaryData, params]);
// 热力图配置
const heatmapConfig = useMemo(() => {
const sortedData = [...areaData].sort((a, b) => {
if (params.timeDimension === '年') {
return parseInt(a.time) - parseInt(b.time);
} else if (params.timeDimension === '季度') {
const [yearA, quarterA] = a.time.split('-Q');
const [yearB, quarterB] = b.time.split('-Q');
return yearA === yearB
? parseInt(quarterA) - parseInt(quarterB)
: parseInt(yearA) - parseInt(yearB);
} else {
return dayjs(a.time).valueOf() - dayjs(b.time).valueOf();
}
});
// 计算最大值和阈值
const maxValue = Math.max(...sortedData.map((item) => item.value), 1);
const hotThreshold = maxValue * 0.8; // 热门阈值(前20%)
const growthThreshold = maxValue * 0.5; // 增长阈值(前50%)
return {
data: sortedData,
height: 300,
autoFit: false,
xField: 'name',
yField: 'time',
colorField: 'value',
mark: 'cell',
style: {
inset: 1,
fillOpacity: 0.9,
},
cellSize: [100, 40],
color: ['#5B8FF9', '#5AD8A6', '#5D7092', '#F6BD16', '#E8684A'],
label: {
text: (d: { value: number }) => {
if (d.value >= 10000) return (d.value / 10000).toFixed(0) + 'w';
if (d.value >= 1000) return (d.value / 1000).toFixed(0) + 'k';
return d.value;
},
style: {
fill: '#fff',
fontSize: 12,
fontWeight: 'bold',
textShadow: '0 0 3px rgba(0,0,0,0.7)',
},
position: 'inside',
},
xAxis: {
title: {
text: '区域',
style: { fontSize: 12 },
},
label: {
autoRotate: true,
style: {
fontSize: 11,
fill: '#666',
},
},
},
yAxis: {
title: {
text: '时间',
style: { fontSize: 12 },
},
label: {
formatter: (text) => {
if (params.timeDimension === '年') return `${text}`;
if (params.timeDimension === '季度') return text.replace('-Q', '年Q');
return text.replace('-', '年').replace('-', '月');
},
style: {
fontSize: 11,
fill: '#666',
},
},
sortable: false,
},
tooltip: {
title: (d) => `${d.name} - ${d.time}`,
field: 'value',
valueFormatter: (v) => {
if (v >= 10000) return (v / 10000).toFixed(1) + '万';
if (v >= 1000) return (v / 1000).toFixed(1) + '千';
return v;
},
pointerEvents: 'none',
domStyles: {
'g2-tooltip': {
padding: '8px 12px',
borderRadius: '4px',
},
},
},
interactions: [{ type: 'element-active' }],
legend: {
position: 'bottom',
layout: 'horizontal',
slidable: true,
title: false,
itemName: {
style: {
fill: '#666',
fontSize: 12,
},
},
},
};
}, [areaData, params.timeDimension]);
2025-05-26 13:35:01 +08:00
const handleTimeDimensionChange = (value: TimeDimension) => {
2025-05-26 12:19:08 +08:00
const now = dayjs();
let newStartTime = '';
2025-05-30 14:26:32 +08:00
2025-05-26 13:35:01 +08:00
if (value === '月') {
2025-05-26 17:40:35 +08:00
newStartTime = now.subtract(5, 'month').format('YYYY-MM');
2025-05-26 13:35:01 +08:00
} else if (value === '季度') {
newStartTime = now.subtract(6, 'quarter').format('YYYY-Q');
} else {
newStartTime = now.subtract(5, 'year').format('YYYY');
2025-05-26 11:28:13 +08:00
}
2025-05-30 14:26:32 +08:00
setParams((p) => ({
2025-05-26 12:19:08 +08:00
...p,
timeDimension: value,
startTime: newStartTime,
2025-05-30 14:26:32 +08:00
endTime:
value === '月'
? now.format('YYYY-MM')
: value === '季度'
? now.format('YYYY-Q')
: now.format('YYYY'),
selectedIndustry: params.analysisCategory === 'industry' ? '' : p.selectedIndustry,
selectedSalaryRange: params.analysisCategory === 'salary' ? '' : p.selectedSalaryRange,
2025-05-26 12:19:08 +08:00
}));
2025-05-26 11:28:13 +08:00
};
2025-05-26 13:35:01 +08:00
2025-05-26 12:19:08 +08:00
const handleDateRangeChange = (dates: any, dateStrings: [string, string]) => {
if (dates && dates[0] && dates[1]) {
2025-05-30 14:26:32 +08:00
setParams((p) => ({
2025-05-26 12:19:08 +08:00
...p,
startTime: dateStrings[0],
2025-05-30 14:26:32 +08:00
endTime: dateStrings[1],
2025-05-26 12:19:08 +08:00
}));
}
2025-05-26 11:28:13 +08:00
};
2025-05-26 13:35:01 +08:00
2025-05-26 17:40:35 +08:00
const disabledDate = (current: dayjs.Dayjs) => {
const now = dayjs();
2025-05-30 14:26:32 +08:00
2025-05-26 17:40:35 +08:00
if (params.timeDimension === '月') {
return current.isAfter(now.endOf('month'));
} else if (params.timeDimension === '季度') {
return current.isAfter(now.endOf('quarter'));
} else {
return current.isAfter(now.endOf('year'));
}
};
2025-05-26 12:19:08 +08:00
const getPickerValue = () => {
try {
return [
2025-05-30 14:26:32 +08:00
dayjs(
params.startTime,
params.timeDimension === '年'
? 'YYYY'
: params.timeDimension === '季度'
? 'YYYY-Q'
: 'YYYY-MM',
),
dayjs(
params.endTime,
params.timeDimension === '年'
? 'YYYY'
: params.timeDimension === '季度'
? 'YYYY-Q'
: 'YYYY-MM',
),
2025-05-26 12:19:08 +08:00
];
} catch (e) {
return null;
}
};
2025-05-26 13:35:01 +08:00
const chartConfig: ChartConfig = {
2025-05-30 14:26:32 +08:00
data: currentData,
2025-05-26 11:28:13 +08:00
height: 180,
xField: 'date',
yField: 'value',
seriesField: 'category',
xAxis: {
type: 'cat',
label: {
2025-05-26 13:35:01 +08:00
formatter: (text: string) => text,
2025-05-26 11:28:13 +08:00
},
},
yAxis: {
label: {
2025-05-26 17:40:35 +08:00
formatter: (val: string) => `${val}${params.type === '招聘增长率' ? '%' : ''}`,
2025-05-26 11:28:13 +08:00
},
},
point: {
size: 4,
shape: 'circle',
},
animation: {
appear: {
animation: 'path-in',
duration: 1000,
},
},
2025-05-26 12:19:08 +08:00
smooth: true,
2025-05-26 17:40:35 +08:00
interactions: [
{
type: 'tooltip',
cfg: {
render: (e, { title, items }) => {
const list = items.filter((item) => item.value);
return (
<div key={title} style={{ padding: '8px 12px' }}>
<h4 style={{ marginBottom: 8 }}>{title}</h4>
{list.map((item, index) => {
const { name, value, color } = item;
return (
2025-05-30 14:26:32 +08:00
<div
key={index}
style={{ margin: '4px 0', display: 'flex', justifyContent: 'space-between' }}
>
2025-05-26 17:40:35 +08:00
<div style={{ display: 'flex', alignItems: 'center' }}>
<span
style={{
display: 'inline-block',
width: 8,
height: 8,
borderRadius: '50%',
backgroundColor: color,
marginRight: 8,
}}
></span>
<span>{name}</span>
</div>
2025-05-30 14:26:32 +08:00
<b>
{value}
{params.type === '招聘增长率' ? '%' : ''}
</b>
2025-05-26 17:40:35 +08:00
</div>
);
})}
</div>
);
},
},
},
],
legend: false,
tooltip: {
showTitle: undefined,
title: undefined,
2025-05-30 14:26:32 +08:00
customContent: undefined,
},
2025-05-26 11:28:13 +08:00
};
useEffect(() => {
2025-05-30 14:26:32 +08:00
if (params.analysisCategory === 'industry') {
fetchIndustryData();
fetchAreaData();
} else if (params.analysisCategory === 'salary') {
fetchSalaryData();
fetchAreaData();
}
}, [params.timeDimension, params.startTime, params.endTime, params.type, params.analysisCategory]);
2025-05-26 11:28:13 +08:00
return (
<div style={{ padding: 16 }}>
2025-05-30 14:26:32 +08:00
<Card title="趋势分析" style={{ marginBottom: 24 }}>
<Tabs
activeKey={params.analysisCategory}
onChange={(key) => setParams(p => ({
...p,
analysisCategory: key as 'industry' | 'salary' | 'area',
selectedIndustry: key === 'industry' && availableIndustries.length > 0 ? availableIndustries[0] : p.selectedIndustry,
selectedSalaryRange: key === 'salary' && availableSalaryRanges.length > 0 ? availableSalaryRanges[0] : p.selectedSalaryRange
}))}
>
<TabPane tab="行业趋势" key="industry" />
<TabPane tab="薪资趋势" key="salary" />
</Tabs>
2025-05-26 12:19:08 +08:00
<div style={{ marginBottom: 24 }}>
2025-05-26 11:28:13 +08:00
<Space size="middle" wrap>
2025-05-30 14:26:32 +08:00
{params.analysisCategory === 'industry' && (
<Select
value={params.selectedIndustry}
onChange={(value) => setParams((p) => ({ ...p, selectedIndustry: value }))}
style={{ width: 150 }}
loading={industryLoading}
placeholder="选择行业"
disabled={availableIndustries.length === 0}
>
{availableIndustries.map((industry) => (
<Option key={industry} value={industry}>
{industry}
</Option>
))}
</Select>
)}
{params.analysisCategory === 'salary' && (
<Select
value={params.selectedSalaryRange}
onChange={(value) => setParams((p) => ({ ...p, selectedSalaryRange: value }))}
style={{ width: 150 }}
loading={salaryLoading}
placeholder="选择薪资区间"
disabled={availableSalaryRanges.length === 0}
>
{availableSalaryRanges.map((range) => (
<Option key={range} value={range}>
{range}
</Option>
))}
</Select>
)}
2025-05-26 11:28:13 +08:00
<Select
value={params.timeDimension}
2025-05-26 12:19:08 +08:00
onChange={handleTimeDimensionChange}
2025-05-26 11:28:13 +08:00
style={{ width: 100 }}
>
<Option value="月"></Option>
<Option value="季度"></Option>
<Option value="年"></Option>
</Select>
2025-05-26 12:19:08 +08:00
<RangePicker
2025-05-30 14:26:32 +08:00
picker={
params.timeDimension === '月'
? 'month'
: params.timeDimension === '季度'
? 'quarter'
: 'year'
}
2025-05-26 12:19:08 +08:00
value={getPickerValue()}
onChange={handleDateRangeChange}
style={{ width: 180 }}
2025-05-30 14:26:32 +08:00
disabled={industryLoading || areaLoading || salaryLoading}
2025-05-26 12:19:08 +08:00
allowClear={false}
2025-05-26 17:40:35 +08:00
disabledDate={disabledDate}
2025-05-26 12:19:08 +08:00
/>
2025-05-26 11:28:13 +08:00
<Select
value={params.type}
2025-05-30 14:26:32 +08:00
onChange={(value) => setParams((p) => ({ ...p, type: value }))}
2025-05-26 12:19:08 +08:00
style={{ width: 100 }}
2025-05-26 11:28:13 +08:00
>
<Option value="岗位发布数量"></Option>
<Option value="招聘增长率"></Option>
</Select>
<Button
type="primary"
2025-05-30 14:26:32 +08:00
onClick={() => {
if (params.analysisCategory === 'industry') {
fetchIndustryData();
fetchAreaData();
} else if (params.analysisCategory === 'salary') {
fetchSalaryData();
fetchAreaData();
}
}}
loading={industryLoading || areaLoading || salaryLoading}
2025-05-26 11:28:13 +08:00
>
</Button>
</Space>
</div>
<Row gutter={[16, 16]}>
2025-05-30 14:26:32 +08:00
{params.analysisCategory !== 'area' && (
<Col span={24}>
<Card
title={
params.analysisCategory === 'industry'
? `${params.selectedIndustry || '请选择行业'}趋势 (${params.type})`
: `${params.selectedSalaryRange || '请选择薪资区间'}趋势 (${params.type})`
}
style={{ marginBottom: 24 }}
bodyStyle={{ padding: '24px 12px', height: 210 }}
>
<Spin spinning={params.analysisCategory === 'industry' ? industryLoading : salaryLoading}>
{currentData.length > 0 ? (
<Line {...chartConfig} />
) : (
<Empty
image={Empty.PRESENTED_IMAGE_SIMPLE}
description={
industryLoading || salaryLoading
? '数据加载中...'
: params.analysisCategory === 'industry'
? params.selectedIndustry
? '当前时间段无数据'
: '请先选择行业'
: params.selectedSalaryRange
? '当前时间段无数据'
: '请先选择薪资区间'
}
/>
)}
</Spin>
</Card>
</Col>
)}
<Col span={24}>
<Card
title="区域分析"
bodyStyle={{
2025-05-26 13:35:01 +08:00
padding: 12,
2025-05-30 14:26:32 +08:00
height: 400,
position: 'relative',
2025-05-26 13:35:01 +08:00
}}
>
2025-05-30 14:26:32 +08:00
{areaLoading ? (
<Spin tip="数据加载中..." size="large" />
) : areaData.length > 0 ? (
<div style={{ height: '100%', width: '100%' }}>
<Heatmap {...heatmapConfig} />
</div>
) : (
<Empty description="暂无区域数据" />
)}
2025-05-26 11:28:13 +08:00
</Card>
</Col>
</Row>
</Card>
</div>
);
};
export default IndustryTrendPage;