## 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.
314 lines
9.1 KiB
JavaScript
314 lines
9.1 KiB
JavaScript
/*
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Copyright (C) 2025 QuantumNous
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU Affero General Public License as
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published by the Free Software Foundation, either version 3 of the
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License, or (at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU Affero General Public License for more details.
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You should have received a copy of the GNU Affero General Public License
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along with this program. If not, see <https://www.gnu.org/licenses/>.
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For commercial licensing, please contact support@quantumnous.com
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*/
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import React from 'react';
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import { Progress, Divider, Empty } from '@douyinfe/semi-ui';
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import { IllustrationConstruction, IllustrationConstructionDark } from '@douyinfe/semi-illustrations';
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import { timestamp2string, timestamp2string1, copy, showSuccess } from './utils';
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import { STORAGE_KEYS, DEFAULT_TIME_INTERVALS, DEFAULTS, ILLUSTRATION_SIZE } from '../constants/dashboard.constants';
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// ========== 时间相关工具函数 ==========
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export const getDefaultTime = () => {
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return localStorage.getItem(STORAGE_KEYS.DATA_EXPORT_DEFAULT_TIME) || 'hour';
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};
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export const getTimeInterval = (timeType, isSeconds = false) => {
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const intervals = DEFAULT_TIME_INTERVALS[timeType] || DEFAULT_TIME_INTERVALS.hour;
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return isSeconds ? intervals.seconds : intervals.minutes;
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};
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export const getInitialTimestamp = () => {
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const defaultTime = getDefaultTime();
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const now = new Date().getTime() / 1000;
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switch (defaultTime) {
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case 'hour':
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return timestamp2string(now - 86400);
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case 'week':
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return timestamp2string(now - 86400 * 30);
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default:
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return timestamp2string(now - 86400 * 7);
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}
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};
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// ========== 数据处理工具函数 ==========
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export const updateMapValue = (map, key, value) => {
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if (!map.has(key)) {
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map.set(key, 0);
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}
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map.set(key, map.get(key) + value);
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};
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export const initializeMaps = (key, ...maps) => {
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maps.forEach(map => {
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if (!map.has(key)) {
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map.set(key, 0);
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}
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});
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};
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// ========== 图表相关工具函数 ==========
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export const updateChartSpec = (setterFunc, newData, subtitle, newColors, dataId) => {
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setterFunc(prev => ({
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...prev,
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data: [{ id: dataId, values: newData }],
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title: {
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...prev.title,
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subtext: subtitle,
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},
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color: {
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specified: newColors,
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},
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}));
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};
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export const getTrendSpec = (data, color) => ({
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type: 'line',
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data: [{ id: 'trend', values: data.map((val, idx) => ({ x: idx, y: val })) }],
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xField: 'x',
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yField: 'y',
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height: 40,
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width: 100,
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axes: [
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{
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orient: 'bottom',
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visible: false
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},
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{
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orient: 'left',
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visible: false
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}
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],
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padding: 0,
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autoFit: false,
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legends: { visible: false },
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tooltip: { visible: false },
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crosshair: { visible: false },
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line: {
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style: {
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stroke: color,
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lineWidth: 2
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}
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},
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point: {
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visible: false
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},
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background: {
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fill: 'transparent'
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}
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});
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// ========== UI 工具函数 ==========
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export const createSectionTitle = (Icon, text) => (
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<div className="flex items-center gap-2">
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<Icon size={16} />
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{text}
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</div>
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);
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export const createFormField = (Component, props, FORM_FIELD_PROPS) => (
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<Component {...FORM_FIELD_PROPS} {...props} />
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);
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// ========== 操作处理函数 ==========
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export const handleCopyUrl = async (url, t) => {
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if (await copy(url)) {
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showSuccess(t('复制成功'));
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}
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};
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export const handleSpeedTest = (apiUrl) => {
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const encodedUrl = encodeURIComponent(apiUrl);
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const speedTestUrl = `https://www.tcptest.cn/http/${encodedUrl}`;
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window.open(speedTestUrl, '_blank', 'noopener,noreferrer');
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};
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// ========== 状态映射函数 ==========
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export const getUptimeStatusColor = (status, uptimeStatusMap) =>
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uptimeStatusMap[status]?.color || '#8b9aa7';
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export const getUptimeStatusText = (status, uptimeStatusMap, t) =>
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uptimeStatusMap[status]?.text || t('未知');
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// ========== 监控列表渲染函数 ==========
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export const renderMonitorList = (monitors, getUptimeStatusColor, getUptimeStatusText, t) => {
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if (!monitors || monitors.length === 0) {
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return (
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<div className="flex justify-center items-center py-4">
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<Empty
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image={<IllustrationConstruction style={ILLUSTRATION_SIZE} />}
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darkModeImage={<IllustrationConstructionDark style={ILLUSTRATION_SIZE} />}
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title={t('暂无监控数据')}
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/>
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</div>
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);
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}
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const grouped = {};
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monitors.forEach((m) => {
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const g = m.group || '';
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if (!grouped[g]) grouped[g] = [];
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grouped[g].push(m);
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});
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const renderItem = (monitor, idx) => (
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<div key={idx} className="p-2 hover:bg-white rounded-lg transition-colors">
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<div className="flex items-center justify-between mb-1">
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<div className="flex items-center gap-2">
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<div
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className="w-2 h-2 rounded-full flex-shrink-0"
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style={{ backgroundColor: getUptimeStatusColor(monitor.status) }}
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/>
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<span className="text-sm font-medium text-gray-900">{monitor.name}</span>
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</div>
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<span className="text-xs text-gray-500">{((monitor.uptime || 0) * 100).toFixed(2)}%</span>
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</div>
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<div className="flex items-center gap-2">
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<span className="text-xs text-gray-500">{getUptimeStatusText(monitor.status)}</span>
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<div className="flex-1">
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<Progress
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percent={(monitor.uptime || 0) * 100}
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showInfo={false}
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aria-label={`${monitor.name} uptime`}
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stroke={getUptimeStatusColor(monitor.status)}
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/>
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</div>
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</div>
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</div>
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);
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return Object.entries(grouped).map(([gname, list]) => (
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<div key={gname || 'default'} className="mb-2">
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{gname && (
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<>
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<div className="text-md font-semibold text-gray-500 px-2 py-1">
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{gname}
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</div>
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<Divider />
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</>
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)}
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{list.map(renderItem)}
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</div>
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));
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};
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// ========== 数据处理函数 ==========
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export const processRawData = (data, dataExportDefaultTime, initializeMaps, updateMapValue) => {
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const result = {
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totalQuota: 0,
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totalTimes: 0,
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totalTokens: 0,
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uniqueModels: new Set(),
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timePoints: [],
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timeQuotaMap: new Map(),
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timeTokensMap: new Map(),
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timeCountMap: new Map()
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};
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data.forEach((item) => {
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result.uniqueModels.add(item.model_name);
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result.totalTokens += item.token_used;
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result.totalQuota += item.quota;
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result.totalTimes += item.count;
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const timeKey = timestamp2string1(item.created_at, dataExportDefaultTime);
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if (!result.timePoints.includes(timeKey)) {
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result.timePoints.push(timeKey);
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}
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initializeMaps(timeKey, result.timeQuotaMap, result.timeTokensMap, result.timeCountMap);
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updateMapValue(result.timeQuotaMap, timeKey, item.quota);
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updateMapValue(result.timeTokensMap, timeKey, item.token_used);
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updateMapValue(result.timeCountMap, timeKey, item.count);
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});
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result.timePoints.sort();
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return result;
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};
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export const calculateTrendData = (timePoints, timeQuotaMap, timeTokensMap, timeCountMap, dataExportDefaultTime) => {
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const quotaTrend = timePoints.map(time => timeQuotaMap.get(time) || 0);
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const tokensTrend = timePoints.map(time => timeTokensMap.get(time) || 0);
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const countTrend = timePoints.map(time => timeCountMap.get(time) || 0);
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const rpmTrend = [];
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const tpmTrend = [];
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if (timePoints.length >= 2) {
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const interval = getTimeInterval(dataExportDefaultTime);
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for (let i = 0; i < timePoints.length; i++) {
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rpmTrend.push(timeCountMap.get(timePoints[i]) / interval);
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tpmTrend.push(timeTokensMap.get(timePoints[i]) / interval);
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}
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}
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return {
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balance: [],
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usedQuota: [],
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requestCount: [],
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times: countTrend,
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consumeQuota: quotaTrend,
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tokens: tokensTrend,
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rpm: rpmTrend,
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tpm: tpmTrend
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};
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};
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export const aggregateDataByTimeAndModel = (data, dataExportDefaultTime) => {
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const aggregatedData = new Map();
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data.forEach((item) => {
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const timeKey = timestamp2string1(item.created_at, dataExportDefaultTime);
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const modelKey = item.model_name;
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const key = `${timeKey}-${modelKey}`;
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if (!aggregatedData.has(key)) {
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aggregatedData.set(key, {
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time: timeKey,
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model: modelKey,
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quota: 0,
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count: 0,
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});
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}
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const existing = aggregatedData.get(key);
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existing.quota += item.quota;
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existing.count += item.count;
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});
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return aggregatedData;
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};
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export const generateChartTimePoints = (aggregatedData, data, dataExportDefaultTime) => {
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let chartTimePoints = Array.from(
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new Set([...aggregatedData.values()].map((d) => d.time)),
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);
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if (chartTimePoints.length < DEFAULTS.MAX_TREND_POINTS) {
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const lastTime = Math.max(...data.map((item) => item.created_at));
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const interval = getTimeInterval(dataExportDefaultTime, true);
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chartTimePoints = Array.from({ length: DEFAULTS.MAX_TREND_POINTS }, (_, i) =>
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timestamp2string1(lastTime - (6 - i) * interval, dataExportDefaultTime),
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);
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}
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return chartTimePoints;
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};
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