📚 refactor(dashboard): modularize dashboard page into reusable hooks and components
## Overview Refactored the monolithic dashboard page (~1200 lines) into a modular architecture following the project's global layout pattern. The main `Detail/index.js` is now simplified to match other page entry files like `Midjourney/index.js`. ## Changes Made ### 🏗️ Architecture Changes - **Before**: Single large file `pages/Detail/index.js` containing all dashboard logic - **After**: Modular structure with dedicated hooks, components, and helpers ### 📁 New Files Created - `hooks/dashboard/useDashboardData.js` - Core data management and API calls - `hooks/dashboard/useDashboardStats.js` - Statistics computation and memoization - `hooks/dashboard/useDashboardCharts.js` - Chart specifications and data processing - `constants/dashboard.constants.js` - UI config, time options, and chart defaults - `helpers/dashboard.js` - Utility functions for data processing and UI helpers - `components/dashboard/index.jsx` - Main dashboard component integrating all modules - `components/dashboard/modals/SearchModal.jsx` - Search modal component ### 🔧 Updated Files - `constants/index.js` - Added dashboard constants export - `helpers/index.js` - Added dashboard helpers export - `pages/Detail/index.js` - Simplified to minimal wrapper (~20 lines) ### 🐛 Bug Fixes - Fixed SearchModal DatePicker onChange to properly convert Date objects to timestamp strings - Added missing localStorage update for `data_export_default_time` persistence - Corrected data flow between search confirmation and chart updates - Ensured proper chart data refresh after search parameter changes ### ✨ Key Improvements - **Separation of Concerns**: Data, stats, and charts logic isolated into dedicated hooks - **Reusability**: Components and hooks can be easily reused across the application - **Maintainability**: Smaller, focused files easier to understand and modify - **Consistency**: Follows established project patterns for global folder organization - **Performance**: Proper memoization and callback optimization maintained ### 🎯 Functional Verification - ✅ All dashboard panels (model analysis, resource consumption, performance metrics) update correctly - ✅ Search functionality works with proper parameter validation - ✅ Chart data refreshes properly after search/filter operations - ✅ User interface remains identical to original implementation - ✅ All existing features preserved without regression ### 🔄 Data Flow ``` User Input → SearchModal → useDashboardData → API Call → useDashboardCharts → UI Update ``` ## Breaking Changes None. All existing functionality preserved. ## Migration Notes The refactored dashboard maintains 100% API compatibility and identical user experience while providing a cleaner, more maintainable codebase structure.
This commit is contained in:
314
web/src/helpers/dashboard.js
Normal file
314
web/src/helpers/dashboard.js
Normal file
@@ -0,0 +1,314 @@
|
||||
/*
|
||||
Copyright (C) 2025 QuantumNous
|
||||
|
||||
This program is free software: you can redistribute it and/or modify
|
||||
it under the terms of the GNU Affero General Public License as
|
||||
published by the Free Software Foundation, either version 3 of the
|
||||
License, or (at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU Affero General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU Affero General Public License
|
||||
along with this program. If not, see <https://www.gnu.org/licenses/>.
|
||||
|
||||
For commercial licensing, please contact support@quantumnous.com
|
||||
*/
|
||||
|
||||
import React from 'react';
|
||||
import { Progress, Divider, Empty } from '@douyinfe/semi-ui';
|
||||
import { IllustrationConstruction, IllustrationConstructionDark } from '@douyinfe/semi-illustrations';
|
||||
import { timestamp2string, timestamp2string1, copy, showSuccess } from './utils';
|
||||
import { STORAGE_KEYS, DEFAULT_TIME_INTERVALS, DEFAULTS, ILLUSTRATION_SIZE } from '../constants/dashboard.constants';
|
||||
|
||||
// ========== 时间相关工具函数 ==========
|
||||
export const getDefaultTime = () => {
|
||||
return localStorage.getItem(STORAGE_KEYS.DATA_EXPORT_DEFAULT_TIME) || 'hour';
|
||||
};
|
||||
|
||||
export const getTimeInterval = (timeType, isSeconds = false) => {
|
||||
const intervals = DEFAULT_TIME_INTERVALS[timeType] || DEFAULT_TIME_INTERVALS.hour;
|
||||
return isSeconds ? intervals.seconds : intervals.minutes;
|
||||
};
|
||||
|
||||
export const getInitialTimestamp = () => {
|
||||
const defaultTime = getDefaultTime();
|
||||
const now = new Date().getTime() / 1000;
|
||||
|
||||
switch (defaultTime) {
|
||||
case 'hour':
|
||||
return timestamp2string(now - 86400);
|
||||
case 'week':
|
||||
return timestamp2string(now - 86400 * 30);
|
||||
default:
|
||||
return timestamp2string(now - 86400 * 7);
|
||||
}
|
||||
};
|
||||
|
||||
// ========== 数据处理工具函数 ==========
|
||||
export const updateMapValue = (map, key, value) => {
|
||||
if (!map.has(key)) {
|
||||
map.set(key, 0);
|
||||
}
|
||||
map.set(key, map.get(key) + value);
|
||||
};
|
||||
|
||||
export const initializeMaps = (key, ...maps) => {
|
||||
maps.forEach(map => {
|
||||
if (!map.has(key)) {
|
||||
map.set(key, 0);
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
// ========== 图表相关工具函数 ==========
|
||||
export const updateChartSpec = (setterFunc, newData, subtitle, newColors, dataId) => {
|
||||
setterFunc(prev => ({
|
||||
...prev,
|
||||
data: [{ id: dataId, values: newData }],
|
||||
title: {
|
||||
...prev.title,
|
||||
subtext: subtitle,
|
||||
},
|
||||
color: {
|
||||
specified: newColors,
|
||||
},
|
||||
}));
|
||||
};
|
||||
|
||||
export const getTrendSpec = (data, color) => ({
|
||||
type: 'line',
|
||||
data: [{ id: 'trend', values: data.map((val, idx) => ({ x: idx, y: val })) }],
|
||||
xField: 'x',
|
||||
yField: 'y',
|
||||
height: 40,
|
||||
width: 100,
|
||||
axes: [
|
||||
{
|
||||
orient: 'bottom',
|
||||
visible: false
|
||||
},
|
||||
{
|
||||
orient: 'left',
|
||||
visible: false
|
||||
}
|
||||
],
|
||||
padding: 0,
|
||||
autoFit: false,
|
||||
legends: { visible: false },
|
||||
tooltip: { visible: false },
|
||||
crosshair: { visible: false },
|
||||
line: {
|
||||
style: {
|
||||
stroke: color,
|
||||
lineWidth: 2
|
||||
}
|
||||
},
|
||||
point: {
|
||||
visible: false
|
||||
},
|
||||
background: {
|
||||
fill: 'transparent'
|
||||
}
|
||||
});
|
||||
|
||||
// ========== UI 工具函数 ==========
|
||||
export const createSectionTitle = (Icon, text) => (
|
||||
<div className="flex items-center gap-2">
|
||||
<Icon size={16} />
|
||||
{text}
|
||||
</div>
|
||||
);
|
||||
|
||||
export const createFormField = (Component, props, FORM_FIELD_PROPS) => (
|
||||
<Component {...FORM_FIELD_PROPS} {...props} />
|
||||
);
|
||||
|
||||
// ========== 操作处理函数 ==========
|
||||
export const handleCopyUrl = async (url, t) => {
|
||||
if (await copy(url)) {
|
||||
showSuccess(t('复制成功'));
|
||||
}
|
||||
};
|
||||
|
||||
export const handleSpeedTest = (apiUrl) => {
|
||||
const encodedUrl = encodeURIComponent(apiUrl);
|
||||
const speedTestUrl = `https://www.tcptest.cn/http/${encodedUrl}`;
|
||||
window.open(speedTestUrl, '_blank', 'noopener,noreferrer');
|
||||
};
|
||||
|
||||
// ========== 状态映射函数 ==========
|
||||
export const getUptimeStatusColor = (status, uptimeStatusMap) =>
|
||||
uptimeStatusMap[status]?.color || '#8b9aa7';
|
||||
|
||||
export const getUptimeStatusText = (status, uptimeStatusMap, t) =>
|
||||
uptimeStatusMap[status]?.text || t('未知');
|
||||
|
||||
// ========== 监控列表渲染函数 ==========
|
||||
export const renderMonitorList = (monitors, getUptimeStatusColor, getUptimeStatusText, t) => {
|
||||
if (!monitors || monitors.length === 0) {
|
||||
return (
|
||||
<div className="flex justify-center items-center py-4">
|
||||
<Empty
|
||||
image={<IllustrationConstruction style={ILLUSTRATION_SIZE} />}
|
||||
darkModeImage={<IllustrationConstructionDark style={ILLUSTRATION_SIZE} />}
|
||||
title={t('暂无监控数据')}
|
||||
/>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
const grouped = {};
|
||||
monitors.forEach((m) => {
|
||||
const g = m.group || '';
|
||||
if (!grouped[g]) grouped[g] = [];
|
||||
grouped[g].push(m);
|
||||
});
|
||||
|
||||
const renderItem = (monitor, idx) => (
|
||||
<div key={idx} className="p-2 hover:bg-white rounded-lg transition-colors">
|
||||
<div className="flex items-center justify-between mb-1">
|
||||
<div className="flex items-center gap-2">
|
||||
<div
|
||||
className="w-2 h-2 rounded-full flex-shrink-0"
|
||||
style={{ backgroundColor: getUptimeStatusColor(monitor.status) }}
|
||||
/>
|
||||
<span className="text-sm font-medium text-gray-900">{monitor.name}</span>
|
||||
</div>
|
||||
<span className="text-xs text-gray-500">{((monitor.uptime || 0) * 100).toFixed(2)}%</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-2">
|
||||
<span className="text-xs text-gray-500">{getUptimeStatusText(monitor.status)}</span>
|
||||
<div className="flex-1">
|
||||
<Progress
|
||||
percent={(monitor.uptime || 0) * 100}
|
||||
showInfo={false}
|
||||
aria-label={`${monitor.name} uptime`}
|
||||
stroke={getUptimeStatusColor(monitor.status)}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
||||
return Object.entries(grouped).map(([gname, list]) => (
|
||||
<div key={gname || 'default'} className="mb-2">
|
||||
{gname && (
|
||||
<>
|
||||
<div className="text-md font-semibold text-gray-500 px-2 py-1">
|
||||
{gname}
|
||||
</div>
|
||||
<Divider />
|
||||
</>
|
||||
)}
|
||||
{list.map(renderItem)}
|
||||
</div>
|
||||
));
|
||||
};
|
||||
|
||||
// ========== 数据处理函数 ==========
|
||||
export const processRawData = (data, dataExportDefaultTime, initializeMaps, updateMapValue) => {
|
||||
const result = {
|
||||
totalQuota: 0,
|
||||
totalTimes: 0,
|
||||
totalTokens: 0,
|
||||
uniqueModels: new Set(),
|
||||
timePoints: [],
|
||||
timeQuotaMap: new Map(),
|
||||
timeTokensMap: new Map(),
|
||||
timeCountMap: new Map()
|
||||
};
|
||||
|
||||
data.forEach((item) => {
|
||||
result.uniqueModels.add(item.model_name);
|
||||
result.totalTokens += item.token_used;
|
||||
result.totalQuota += item.quota;
|
||||
result.totalTimes += item.count;
|
||||
|
||||
const timeKey = timestamp2string1(item.created_at, dataExportDefaultTime);
|
||||
if (!result.timePoints.includes(timeKey)) {
|
||||
result.timePoints.push(timeKey);
|
||||
}
|
||||
|
||||
initializeMaps(timeKey, result.timeQuotaMap, result.timeTokensMap, result.timeCountMap);
|
||||
updateMapValue(result.timeQuotaMap, timeKey, item.quota);
|
||||
updateMapValue(result.timeTokensMap, timeKey, item.token_used);
|
||||
updateMapValue(result.timeCountMap, timeKey, item.count);
|
||||
});
|
||||
|
||||
result.timePoints.sort();
|
||||
return result;
|
||||
};
|
||||
|
||||
export const calculateTrendData = (timePoints, timeQuotaMap, timeTokensMap, timeCountMap, dataExportDefaultTime) => {
|
||||
const quotaTrend = timePoints.map(time => timeQuotaMap.get(time) || 0);
|
||||
const tokensTrend = timePoints.map(time => timeTokensMap.get(time) || 0);
|
||||
const countTrend = timePoints.map(time => timeCountMap.get(time) || 0);
|
||||
|
||||
const rpmTrend = [];
|
||||
const tpmTrend = [];
|
||||
|
||||
if (timePoints.length >= 2) {
|
||||
const interval = getTimeInterval(dataExportDefaultTime);
|
||||
|
||||
for (let i = 0; i < timePoints.length; i++) {
|
||||
rpmTrend.push(timeCountMap.get(timePoints[i]) / interval);
|
||||
tpmTrend.push(timeTokensMap.get(timePoints[i]) / interval);
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
balance: [],
|
||||
usedQuota: [],
|
||||
requestCount: [],
|
||||
times: countTrend,
|
||||
consumeQuota: quotaTrend,
|
||||
tokens: tokensTrend,
|
||||
rpm: rpmTrend,
|
||||
tpm: tpmTrend
|
||||
};
|
||||
};
|
||||
|
||||
export const aggregateDataByTimeAndModel = (data, dataExportDefaultTime) => {
|
||||
const aggregatedData = new Map();
|
||||
|
||||
data.forEach((item) => {
|
||||
const timeKey = timestamp2string1(item.created_at, dataExportDefaultTime);
|
||||
const modelKey = item.model_name;
|
||||
const key = `${timeKey}-${modelKey}`;
|
||||
|
||||
if (!aggregatedData.has(key)) {
|
||||
aggregatedData.set(key, {
|
||||
time: timeKey,
|
||||
model: modelKey,
|
||||
quota: 0,
|
||||
count: 0,
|
||||
});
|
||||
}
|
||||
|
||||
const existing = aggregatedData.get(key);
|
||||
existing.quota += item.quota;
|
||||
existing.count += item.count;
|
||||
});
|
||||
|
||||
return aggregatedData;
|
||||
};
|
||||
|
||||
export const generateChartTimePoints = (aggregatedData, data, dataExportDefaultTime) => {
|
||||
let chartTimePoints = Array.from(
|
||||
new Set([...aggregatedData.values()].map((d) => d.time)),
|
||||
);
|
||||
|
||||
if (chartTimePoints.length < DEFAULTS.MAX_TREND_POINTS) {
|
||||
const lastTime = Math.max(...data.map((item) => item.created_at));
|
||||
const interval = getTimeInterval(dataExportDefaultTime, true);
|
||||
|
||||
chartTimePoints = Array.from({ length: DEFAULTS.MAX_TREND_POINTS }, (_, i) =>
|
||||
timestamp2string1(lastTime - (6 - i) * interval, dataExportDefaultTime),
|
||||
);
|
||||
}
|
||||
|
||||
return chartTimePoints;
|
||||
};
|
||||
@@ -26,3 +26,4 @@ export * from './log';
|
||||
export * from './data';
|
||||
export * from './token';
|
||||
export * from './boolean';
|
||||
export * from './dashboard';
|
||||
|
||||
Reference in New Issue
Block a user