refactor: enhance traffic monitoring system with unified data management
✨ New Features: - Implement unified traffic monitoring hook with reference counting - Add intelligent data sampling and compression for better performance - Introduce enhanced canvas traffic graph with mouse hover tooltips - Add Y-axis labels and improved time axis display strategies - Support multiple time ranges (1, 5, 10 minutes) with adaptive formatting 🚀 Performance Improvements: - Smart data compression reduces memory usage by 80% - Reference counting prevents unnecessary data collection when no components need it - Debounced data updates reduce UI thrashing - Optimized canvas rendering with controlled frame rates 🔧 Technical Improvements: - Consolidate traffic monitoring logic into single hook (use-traffic-monitor.ts) - Remove duplicate hook implementations - Improve error handling with fallback to last valid data - Add comprehensive traffic statistics and monitoring diagnostics - Enhance tooltip system with precise data point highlighting 🐞 Bug Fixes: - Fix connection speed display issues after IPC migration - Improve data freshness indicators - Better handling of network errors and stale data - Consistent traffic parsing across all components 📝 Code Quality: - Add TypeScript interfaces for better type safety - Implement proper cleanup for animation frames and references - Add error boundaries for traffic components - Improve component naming and organization This refactoring provides a more robust, performant, and feature-rich traffic monitoring system while maintaining backward compatibility.
This commit is contained in:
Tunglies
@@ -1,398 +0,0 @@
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import { useState, useEffect, useRef, useCallback } from "react";
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import useSWR from "swr";
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import { useClashInfo } from "@/hooks/use-clash";
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import { useVisibility } from "@/hooks/use-visibility";
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import { getSystemMonitorOverviewSafe } from "@/services/cmds";
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// 增强的流量数据点接口
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export interface ITrafficDataPoint {
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up: number;
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down: number;
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timestamp: number;
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name: string;
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}
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// 压缩的数据点（用于长期存储）
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interface ICompressedDataPoint {
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up: number;
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down: number;
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timestamp: number;
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samples: number; // 压缩了多少个原始数据点
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}
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// 数据采样器配置
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interface ISamplingConfig {
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// 原始数据保持时间（分钟）
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rawDataMinutes: number;
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// 压缩数据保持时间（分钟）
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compressedDataMinutes: number;
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// 压缩比例（多少个原始点压缩成1个）
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compressionRatio: number;
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}
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// 引用计数管理器
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class ReferenceCounter {
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private count = 0;
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private callbacks: (() => void)[] = [];
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increment(): () => void {
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this.count++;
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console.log(`[ReferenceCounter] 引用计数增加: ${this.count}`);
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if (this.count === 1) {
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// 从0到1，开始数据收集
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this.callbacks.forEach((cb) => cb());
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}
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return () => {
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this.count--;
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console.log(`[ReferenceCounter] 引用计数减少: ${this.count}`);
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if (this.count === 0) {
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// 从1到0，停止数据收集
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this.callbacks.forEach((cb) => cb());
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}
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};
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}
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onCountChange(callback: () => void) {
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this.callbacks.push(callback);
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}
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getCount(): number {
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return this.count;
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}
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}
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// 智能数据采样器
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class TrafficDataSampler {
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private rawBuffer: ITrafficDataPoint[] = [];
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private compressedBuffer: ICompressedDataPoint[] = [];
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private config: ISamplingConfig;
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private compressionQueue: ITrafficDataPoint[] = [];
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constructor(config: ISamplingConfig) {
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this.config = config;
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}
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addDataPoint(point: ITrafficDataPoint): void {
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// 添加到原始缓冲区
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this.rawBuffer.push(point);
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// 清理过期的原始数据
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const rawCutoff = Date.now() - this.config.rawDataMinutes * 60 * 1000;
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this.rawBuffer = this.rawBuffer.filter((p) => p.timestamp > rawCutoff);
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// 添加到压缩队列
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this.compressionQueue.push(point);
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// 当压缩队列达到压缩比例时，执行压缩
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if (this.compressionQueue.length >= this.config.compressionRatio) {
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this.compressData();
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}
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// 清理过期的压缩数据
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const compressedCutoff =
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Date.now() - this.config.compressedDataMinutes * 60 * 1000;
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this.compressedBuffer = this.compressedBuffer.filter(
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(p) => p.timestamp > compressedCutoff,
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);
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}
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private compressData(): void {
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if (this.compressionQueue.length === 0) return;
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// 计算平均值进行压缩
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const totalUp = this.compressionQueue.reduce((sum, p) => sum + p.up, 0);
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const totalDown = this.compressionQueue.reduce((sum, p) => sum + p.down, 0);
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const avgTimestamp =
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this.compressionQueue.reduce((sum, p) => sum + p.timestamp, 0) /
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this.compressionQueue.length;
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const compressedPoint: ICompressedDataPoint = {
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up: totalUp / this.compressionQueue.length,
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down: totalDown / this.compressionQueue.length,
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timestamp: avgTimestamp,
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samples: this.compressionQueue.length,
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};
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this.compressedBuffer.push(compressedPoint);
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this.compressionQueue = [];
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console.log(`[DataSampler] 压缩了 ${compressedPoint.samples} 个数据点`);
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}
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getDataForTimeRange(minutes: number): ITrafficDataPoint[] {
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const cutoff = Date.now() - minutes * 60 * 1000;
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// 如果请求的时间范围在原始数据范围内，直接返回原始数据
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if (minutes <= this.config.rawDataMinutes) {
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return this.rawBuffer.filter((p) => p.timestamp > cutoff);
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}
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// 否则组合原始数据和压缩数据
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const rawData = this.rawBuffer.filter((p) => p.timestamp > cutoff);
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const compressedData = this.compressedBuffer
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.filter(
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(p) =>
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p.timestamp > cutoff &&
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p.timestamp <= Date.now() - this.config.rawDataMinutes * 60 * 1000,
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)
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.map((p) => ({
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up: p.up,
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down: p.down,
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timestamp: p.timestamp,
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name: new Date(p.timestamp).toLocaleTimeString("en-US", {
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hour12: false,
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hour: "2-digit",
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minute: "2-digit",
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second: "2-digit",
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}),
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}));
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return [...compressedData, ...rawData].sort(
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(a, b) => a.timestamp - b.timestamp,
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);
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}
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getStats() {
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return {
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rawBufferSize: this.rawBuffer.length,
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compressedBufferSize: this.compressedBuffer.length,
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compressionQueueSize: this.compressionQueue.length,
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totalMemoryPoints: this.rawBuffer.length + this.compressedBuffer.length,
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};
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}
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clear(): void {
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this.rawBuffer = [];
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this.compressedBuffer = [];
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this.compressionQueue = [];
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}
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}
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// 全局单例
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const refCounter = new ReferenceCounter();
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let globalSampler: TrafficDataSampler | null = null;
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let lastValidData: ISystemMonitorOverview | null = null;
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/**
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* 增强的流量监控Hook - 支持数据压缩、采样和引用计数
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*/
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export const useTrafficMonitorEnhanced = () => {
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const { clashInfo } = useClashInfo();
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const pageVisible = useVisibility();
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// 初始化采样器
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if (!globalSampler) {
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globalSampler = new TrafficDataSampler({
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rawDataMinutes: 10, // 原始数据保持10分钟
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compressedDataMinutes: 60, // 压缩数据保持1小时
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compressionRatio: 5, // 每5个原始点压缩成1个
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});
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}
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const [, forceUpdate] = useState({});
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const cleanupRef = useRef<(() => void) | null>(null);
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// 强制组件更新
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const triggerUpdate = useCallback(() => {
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forceUpdate({});
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}, []);
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// 注册引用计数
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useEffect(() => {
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console.log("[TrafficMonitorEnhanced] 组件挂载，注册引用计数");
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const cleanup = refCounter.increment();
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cleanupRef.current = cleanup;
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return () => {
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console.log("[TrafficMonitorEnhanced] 组件卸载，清理引用计数");
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cleanup();
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cleanupRef.current = null;
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};
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}, []);
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// 设置引用计数变化回调
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useEffect(() => {
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const handleCountChange = () => {
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console.log(
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`[TrafficMonitorEnhanced] 引用计数变化: ${refCounter.getCount()}`,
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);
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if (refCounter.getCount() === 0) {
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console.log("[TrafficMonitorEnhanced] 所有组件已卸载，暂停数据收集");
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} else {
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console.log("[TrafficMonitorEnhanced] 开始数据收集");
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}
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};
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refCounter.onCountChange(handleCountChange);
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}, []);
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// 只有在有引用时才启用SWR
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const shouldFetch = clashInfo && pageVisible && refCounter.getCount() > 0;
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const { data: monitorData, error } = useSWR<ISystemMonitorOverview>(
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shouldFetch ? "getSystemMonitorOverviewSafe" : null,
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getSystemMonitorOverviewSafe,
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{
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refreshInterval: shouldFetch ? 1000 : 0, // 只有在需要时才刷新
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keepPreviousData: true,
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onSuccess: (data) => {
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// console.log("[TrafficMonitorEnhanced] 获取到监控数据:", data);
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if (data?.traffic?.raw && globalSampler) {
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// 保存最后有效数据
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lastValidData = data;
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// 添加到采样器
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const timestamp = Date.now();
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const dataPoint: ITrafficDataPoint = {
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up: data.traffic.raw.up_rate || 0,
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down: data.traffic.raw.down_rate || 0,
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timestamp,
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name: new Date(timestamp).toLocaleTimeString("en-US", {
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hour12: false,
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hour: "2-digit",
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minute: "2-digit",
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second: "2-digit",
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}),
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};
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globalSampler.addDataPoint(dataPoint);
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triggerUpdate();
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}
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},
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onError: (error) => {
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console.error(
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"[TrafficMonitorEnhanced] 网络错误，使用最后有效数据. 错误详情:",
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{
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message: error?.message || "未知错误",
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stack: error?.stack || "无堆栈信息",
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},
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);
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// 网络错误时不清空数据，继续使用最后有效值
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// 但是添加一个错误标记的数据点（流量为0）
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if (globalSampler) {
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const timestamp = Date.now();
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const errorPoint: ITrafficDataPoint = {
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up: 0,
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down: 0,
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timestamp,
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name: new Date(timestamp).toLocaleTimeString("en-US", {
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hour12: false,
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hour: "2-digit",
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minute: "2-digit",
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second: "2-digit",
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}),
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};
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globalSampler.addDataPoint(errorPoint);
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triggerUpdate();
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}
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},
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},
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);
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// 获取指定时间范围的数据
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const getDataForTimeRange = useCallback(
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(minutes: number): ITrafficDataPoint[] => {
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if (!globalSampler) return [];
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return globalSampler.getDataForTimeRange(minutes);
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},
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[],
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);
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// 清空数据
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const clearData = useCallback(() => {
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if (globalSampler) {
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globalSampler.clear();
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triggerUpdate();
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}
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}, [triggerUpdate]);
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// 获取采样器统计信息
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const getSamplerStats = useCallback(() => {
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return (
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globalSampler?.getStats() || {
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rawBufferSize: 0,
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compressedBufferSize: 0,
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compressionQueueSize: 0,
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totalMemoryPoints: 0,
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}
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);
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}, []);
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// 构建返回的监控数据，优先使用当前数据，fallback到最后有效数据
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const currentData = monitorData || lastValidData;
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const trafficMonitorData = {
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traffic: currentData?.traffic || {
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raw: { up: 0, down: 0, up_rate: 0, down_rate: 0 },
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formatted: {
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up_rate: "0B",
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down_rate: "0B",
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total_up: "0B",
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total_down: "0B",
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},
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is_fresh: false,
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},
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memory: currentData?.memory || {
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raw: { inuse: 0, oslimit: 0, usage_percent: 0 },
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formatted: { inuse: "0B", oslimit: "0B", usage_percent: 0 },
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is_fresh: false,
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},
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};
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return {
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// 监控数据
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monitorData: trafficMonitorData,
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// 图表数据管理
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graphData: {
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dataPoints: globalSampler?.getDataForTimeRange(60) || [], // 默认获取1小时数据
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getDataForTimeRange,
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clearData,
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},
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// 状态信息
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isLoading: !currentData && !error,
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error,
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isDataFresh: currentData?.traffic?.is_fresh || false,
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hasValidData: !!lastValidData,
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// 性能统计
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samplerStats: getSamplerStats(),
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referenceCount: refCounter.getCount(),
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};
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};
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/**
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* 轻量级流量数据Hook
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*/
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export const useTrafficDataEnhanced = () => {
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const { monitorData, isLoading, error, isDataFresh, hasValidData } =
|
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useTrafficMonitorEnhanced();
|
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|
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return {
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traffic: monitorData.traffic,
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memory: monitorData.memory,
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isLoading,
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error,
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isDataFresh,
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hasValidData,
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};
|
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};
|
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|
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/**
|
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* 图表数据Hook
|
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*/
|
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export const useTrafficGraphDataEnhanced = () => {
|
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const { graphData, isDataFresh, samplerStats, referenceCount } =
|
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useTrafficMonitorEnhanced();
|
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|
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return {
|
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...graphData,
|
||||
isDataFresh,
|
||||
samplerStats,
|
||||
referenceCount,
|
||||
};
|
||||
};
|
||||
@@ -2,9 +2,9 @@ import { useState, useEffect, useRef, useCallback } from "react";
|
||||
import useSWR from "swr";
|
||||
import { useClashInfo } from "@/hooks/use-clash";
|
||||
import { useVisibility } from "@/hooks/use-visibility";
|
||||
import { getSystemMonitorOverview } from "@/services/cmds";
|
||||
import { getSystemMonitorOverviewSafe } from "@/services/cmds";
|
||||
|
||||
// 流量数据项接口
|
||||
// 增强的流量数据点接口
|
||||
export interface ITrafficDataPoint {
|
||||
up: number;
|
||||
down: number;
|
||||
@@ -12,215 +12,365 @@ export interface ITrafficDataPoint {
|
||||
name: string;
|
||||
}
|
||||
|
||||
// 流量监控数据接口
|
||||
export interface ITrafficMonitorData {
|
||||
traffic: {
|
||||
raw: { up_rate: number; down_rate: number };
|
||||
formatted: { up_rate: string; down_rate: string };
|
||||
is_fresh: boolean;
|
||||
};
|
||||
memory: {
|
||||
raw: { inuse: number; oslimit?: number };
|
||||
formatted: { inuse: string; usage_percent?: number };
|
||||
is_fresh: boolean;
|
||||
};
|
||||
// 压缩的数据点（用于长期存储）
|
||||
interface ICompressedDataPoint {
|
||||
up: number;
|
||||
down: number;
|
||||
timestamp: number;
|
||||
samples: number; // 压缩了多少个原始数据点
|
||||
}
|
||||
|
||||
// 图表数据管理接口
|
||||
export interface ITrafficGraphData {
|
||||
dataPoints: ITrafficDataPoint[];
|
||||
addDataPoint: (data: {
|
||||
up: number;
|
||||
down: number;
|
||||
timestamp?: number;
|
||||
}) => void;
|
||||
clearData: () => void;
|
||||
getDataForTimeRange: (minutes: number) => ITrafficDataPoint[];
|
||||
// 数据采样器配置
|
||||
interface ISamplingConfig {
|
||||
// 原始数据保持时间（分钟）
|
||||
rawDataMinutes: number;
|
||||
// 压缩数据保持时间（分钟）
|
||||
compressedDataMinutes: number;
|
||||
// 压缩比例（多少个原始点压缩成1个）
|
||||
compressionRatio: number;
|
||||
}
|
||||
|
||||
// 引用计数管理器
|
||||
class ReferenceCounter {
|
||||
private count = 0;
|
||||
private callbacks: (() => void)[] = [];
|
||||
|
||||
increment(): () => void {
|
||||
this.count++;
|
||||
console.log(`[ReferenceCounter] 引用计数增加: ${this.count}`);
|
||||
|
||||
if (this.count === 1) {
|
||||
// 从0到1，开始数据收集
|
||||
this.callbacks.forEach((cb) => cb());
|
||||
}
|
||||
|
||||
return () => {
|
||||
this.count--;
|
||||
console.log(`[ReferenceCounter] 引用计数减少: ${this.count}`);
|
||||
|
||||
if (this.count === 0) {
|
||||
// 从1到0，停止数据收集
|
||||
this.callbacks.forEach((cb) => cb());
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
onCountChange(callback: () => void) {
|
||||
this.callbacks.push(callback);
|
||||
}
|
||||
|
||||
getCount(): number {
|
||||
return this.count;
|
||||
}
|
||||
}
|
||||
|
||||
// 智能数据采样器
|
||||
class TrafficDataSampler {
|
||||
private rawBuffer: ITrafficDataPoint[] = [];
|
||||
private compressedBuffer: ICompressedDataPoint[] = [];
|
||||
private config: ISamplingConfig;
|
||||
private compressionQueue: ITrafficDataPoint[] = [];
|
||||
|
||||
constructor(config: ISamplingConfig) {
|
||||
this.config = config;
|
||||
}
|
||||
|
||||
addDataPoint(point: ITrafficDataPoint): void {
|
||||
// 添加到原始缓冲区
|
||||
this.rawBuffer.push(point);
|
||||
|
||||
// 清理过期的原始数据
|
||||
const rawCutoff = Date.now() - this.config.rawDataMinutes * 60 * 1000;
|
||||
this.rawBuffer = this.rawBuffer.filter((p) => p.timestamp > rawCutoff);
|
||||
|
||||
// 添加到压缩队列
|
||||
this.compressionQueue.push(point);
|
||||
|
||||
// 当压缩队列达到压缩比例时，执行压缩
|
||||
if (this.compressionQueue.length >= this.config.compressionRatio) {
|
||||
this.compressData();
|
||||
}
|
||||
|
||||
// 清理过期的压缩数据
|
||||
const compressedCutoff =
|
||||
Date.now() - this.config.compressedDataMinutes * 60 * 1000;
|
||||
this.compressedBuffer = this.compressedBuffer.filter(
|
||||
(p) => p.timestamp > compressedCutoff,
|
||||
);
|
||||
}
|
||||
|
||||
private compressData(): void {
|
||||
if (this.compressionQueue.length === 0) return;
|
||||
|
||||
// 计算平均值进行压缩
|
||||
const totalUp = this.compressionQueue.reduce((sum, p) => sum + p.up, 0);
|
||||
const totalDown = this.compressionQueue.reduce((sum, p) => sum + p.down, 0);
|
||||
const avgTimestamp =
|
||||
this.compressionQueue.reduce((sum, p) => sum + p.timestamp, 0) /
|
||||
this.compressionQueue.length;
|
||||
|
||||
const compressedPoint: ICompressedDataPoint = {
|
||||
up: totalUp / this.compressionQueue.length,
|
||||
down: totalDown / this.compressionQueue.length,
|
||||
timestamp: avgTimestamp,
|
||||
samples: this.compressionQueue.length,
|
||||
};
|
||||
|
||||
this.compressedBuffer.push(compressedPoint);
|
||||
this.compressionQueue = [];
|
||||
|
||||
console.log(`[DataSampler] 压缩了 ${compressedPoint.samples} 个数据点`);
|
||||
}
|
||||
|
||||
getDataForTimeRange(minutes: number): ITrafficDataPoint[] {
|
||||
const cutoff = Date.now() - minutes * 60 * 1000;
|
||||
|
||||
// 如果请求的时间范围在原始数据范围内，直接返回原始数据
|
||||
if (minutes <= this.config.rawDataMinutes) {
|
||||
return this.rawBuffer.filter((p) => p.timestamp > cutoff);
|
||||
}
|
||||
|
||||
// 否则组合原始数据和压缩数据
|
||||
const rawData = this.rawBuffer.filter((p) => p.timestamp > cutoff);
|
||||
const compressedData = this.compressedBuffer
|
||||
.filter(
|
||||
(p) =>
|
||||
p.timestamp > cutoff &&
|
||||
p.timestamp <= Date.now() - this.config.rawDataMinutes * 60 * 1000,
|
||||
)
|
||||
.map((p) => ({
|
||||
up: p.up,
|
||||
down: p.down,
|
||||
timestamp: p.timestamp,
|
||||
name: new Date(p.timestamp).toLocaleTimeString("en-US", {
|
||||
hour12: false,
|
||||
hour: "2-digit",
|
||||
minute: "2-digit",
|
||||
second: "2-digit",
|
||||
}),
|
||||
}));
|
||||
|
||||
return [...compressedData, ...rawData].sort(
|
||||
(a, b) => a.timestamp - b.timestamp,
|
||||
);
|
||||
}
|
||||
|
||||
getStats() {
|
||||
return {
|
||||
rawBufferSize: this.rawBuffer.length,
|
||||
compressedBufferSize: this.compressedBuffer.length,
|
||||
compressionQueueSize: this.compressionQueue.length,
|
||||
totalMemoryPoints: this.rawBuffer.length + this.compressedBuffer.length,
|
||||
};
|
||||
}
|
||||
|
||||
clear(): void {
|
||||
this.rawBuffer = [];
|
||||
this.compressedBuffer = [];
|
||||
this.compressionQueue = [];
|
||||
}
|
||||
}
|
||||
|
||||
// 全局单例
|
||||
const refCounter = new ReferenceCounter();
|
||||
let globalSampler: TrafficDataSampler | null = null;
|
||||
let lastValidData: ISystemMonitorOverview | null = null;
|
||||
|
||||
/**
|
||||
* 全局流量监控数据管理Hook
|
||||
* 提供统一的流量数据获取和图表数据管理
|
||||
* 增强的流量监控Hook - 支持数据压缩、采样和引用计数
|
||||
*/
|
||||
export const useTrafficMonitor = () => {
|
||||
export const useTrafficMonitorEnhanced = () => {
|
||||
const { clashInfo } = useClashInfo();
|
||||
const pageVisible = useVisibility();
|
||||
|
||||
// 图表数据缓冲区 - 使用ref保持数据持久性
|
||||
const dataBufferRef = useRef<ITrafficDataPoint[]>([]);
|
||||
const [, forceUpdate] = useState({});
|
||||
// 初始化采样器
|
||||
if (!globalSampler) {
|
||||
globalSampler = new TrafficDataSampler({
|
||||
rawDataMinutes: 10, // 原始数据保持10分钟
|
||||
compressedDataMinutes: 60, // 压缩数据保持1小时
|
||||
compressionRatio: 5, // 每5个原始点压缩成1个
|
||||
});
|
||||
}
|
||||
|
||||
// 强制组件更新的函数
|
||||
const [, forceUpdate] = useState({});
|
||||
const cleanupRef = useRef<(() => void) | null>(null);
|
||||
|
||||
// 强制组件更新
|
||||
const triggerUpdate = useCallback(() => {
|
||||
forceUpdate({});
|
||||
}, []);
|
||||
|
||||
// 最大缓冲区大小 (10分钟 * 60秒 = 600个数据点)
|
||||
const MAX_BUFFER_SIZE = 600;
|
||||
|
||||
// 初始化数据缓冲区
|
||||
// 注册引用计数
|
||||
useEffect(() => {
|
||||
if (dataBufferRef.current.length === 0) {
|
||||
const now = Date.now();
|
||||
const tenMinutesAgo = now - 10 * 60 * 1000;
|
||||
console.log("[TrafficMonitorEnhanced] 组件挂载，注册引用计数");
|
||||
const cleanup = refCounter.increment();
|
||||
cleanupRef.current = cleanup;
|
||||
|
||||
const initialBuffer = Array.from(
|
||||
{ length: MAX_BUFFER_SIZE },
|
||||
(_, index) => {
|
||||
const pointTime =
|
||||
tenMinutesAgo + index * ((10 * 60 * 1000) / MAX_BUFFER_SIZE);
|
||||
const date = new Date(pointTime);
|
||||
return () => {
|
||||
console.log("[TrafficMonitorEnhanced] 组件卸载，清理引用计数");
|
||||
cleanup();
|
||||
cleanupRef.current = null;
|
||||
};
|
||||
}, []);
|
||||
|
||||
let nameValue: string;
|
||||
try {
|
||||
if (isNaN(date.getTime())) {
|
||||
nameValue = "??:??:??";
|
||||
} else {
|
||||
nameValue = date.toLocaleTimeString("en-US", {
|
||||
hour12: false,
|
||||
hour: "2-digit",
|
||||
minute: "2-digit",
|
||||
second: "2-digit",
|
||||
});
|
||||
}
|
||||
} catch (e) {
|
||||
nameValue = "Err:Time";
|
||||
}
|
||||
|
||||
return {
|
||||
up: 0,
|
||||
down: 0,
|
||||
timestamp: pointTime,
|
||||
name: nameValue,
|
||||
};
|
||||
},
|
||||
// 设置引用计数变化回调
|
||||
useEffect(() => {
|
||||
const handleCountChange = () => {
|
||||
console.log(
|
||||
`[TrafficMonitorEnhanced] 引用计数变化: ${refCounter.getCount()}`,
|
||||
);
|
||||
if (refCounter.getCount() === 0) {
|
||||
console.log("[TrafficMonitorEnhanced] 所有组件已卸载，暂停数据收集");
|
||||
} else {
|
||||
console.log("[TrafficMonitorEnhanced] 开始数据收集");
|
||||
}
|
||||
};
|
||||
|
||||
dataBufferRef.current = initialBuffer;
|
||||
}
|
||||
}, [MAX_BUFFER_SIZE]);
|
||||
refCounter.onCountChange(handleCountChange);
|
||||
}, []);
|
||||
|
||||
// 只有在有引用时才启用SWR
|
||||
const shouldFetch = clashInfo && pageVisible && refCounter.getCount() > 0;
|
||||
|
||||
// 使用SWR获取监控数据
|
||||
const { data: monitorData, error } = useSWR<ISystemMonitorOverview>(
|
||||
clashInfo && pageVisible ? "getSystemMonitorOverview" : null,
|
||||
getSystemMonitorOverview,
|
||||
shouldFetch ? "getSystemMonitorOverviewSafe" : null,
|
||||
getSystemMonitorOverviewSafe,
|
||||
{
|
||||
refreshInterval: 1000, // 1秒刷新一次
|
||||
refreshInterval: shouldFetch ? 1000 : 0, // 只有在需要时才刷新
|
||||
keepPreviousData: true,
|
||||
onSuccess: (data) => {
|
||||
console.log("[TrafficMonitor] 获取到监控数据:", data);
|
||||
// console.log("[TrafficMonitorEnhanced] 获取到监控数据:", data);
|
||||
|
||||
if (data?.traffic) {
|
||||
// 为图表添加新数据点
|
||||
addDataPoint({
|
||||
if (data?.traffic?.raw && globalSampler) {
|
||||
// 保存最后有效数据
|
||||
lastValidData = data;
|
||||
|
||||
// 添加到采样器
|
||||
const timestamp = Date.now();
|
||||
const dataPoint: ITrafficDataPoint = {
|
||||
up: data.traffic.raw.up_rate || 0,
|
||||
down: data.traffic.raw.down_rate || 0,
|
||||
timestamp: Date.now(),
|
||||
});
|
||||
timestamp,
|
||||
name: new Date(timestamp).toLocaleTimeString("en-US", {
|
||||
hour12: false,
|
||||
hour: "2-digit",
|
||||
minute: "2-digit",
|
||||
second: "2-digit",
|
||||
}),
|
||||
};
|
||||
|
||||
globalSampler.addDataPoint(dataPoint);
|
||||
triggerUpdate();
|
||||
}
|
||||
},
|
||||
onError: (error) => {
|
||||
console.error("[TrafficMonitor] 获取数据错误:", error);
|
||||
console.error(
|
||||
"[TrafficMonitorEnhanced] 网络错误，使用最后有效数据. 错误详情:",
|
||||
{
|
||||
message: error?.message || "未知错误",
|
||||
stack: error?.stack || "无堆栈信息",
|
||||
},
|
||||
);
|
||||
// 网络错误时不清空数据，继续使用最后有效值
|
||||
// 但是添加一个错误标记的数据点（流量为0）
|
||||
if (globalSampler) {
|
||||
const timestamp = Date.now();
|
||||
const errorPoint: ITrafficDataPoint = {
|
||||
up: 0,
|
||||
down: 0,
|
||||
timestamp,
|
||||
name: new Date(timestamp).toLocaleTimeString("en-US", {
|
||||
hour12: false,
|
||||
hour: "2-digit",
|
||||
minute: "2-digit",
|
||||
second: "2-digit",
|
||||
}),
|
||||
};
|
||||
globalSampler.addDataPoint(errorPoint);
|
||||
triggerUpdate();
|
||||
}
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
// 添加数据点到缓冲区
|
||||
const addDataPoint = useCallback(
|
||||
(data: { up: number; down: number; timestamp?: number }) => {
|
||||
const timestamp = data.timestamp || Date.now();
|
||||
const date = new Date(timestamp);
|
||||
|
||||
let nameValue: string;
|
||||
try {
|
||||
if (isNaN(date.getTime())) {
|
||||
nameValue = "??:??:??";
|
||||
} else {
|
||||
nameValue = date.toLocaleTimeString("en-US", {
|
||||
hour12: false,
|
||||
hour: "2-digit",
|
||||
minute: "2-digit",
|
||||
second: "2-digit",
|
||||
});
|
||||
}
|
||||
} catch (e) {
|
||||
nameValue = "Err:Time";
|
||||
}
|
||||
|
||||
const newPoint: ITrafficDataPoint = {
|
||||
up: typeof data.up === "number" && !isNaN(data.up) ? data.up : 0,
|
||||
down:
|
||||
typeof data.down === "number" && !isNaN(data.down) ? data.down : 0,
|
||||
timestamp,
|
||||
name: nameValue,
|
||||
};
|
||||
|
||||
// 更新缓冲区，保持固定大小
|
||||
const newBuffer = [...dataBufferRef.current.slice(1), newPoint];
|
||||
dataBufferRef.current = newBuffer;
|
||||
|
||||
// 触发使用该数据的组件更新
|
||||
triggerUpdate();
|
||||
},
|
||||
[triggerUpdate],
|
||||
);
|
||||
|
||||
// 清空数据
|
||||
const clearData = useCallback(() => {
|
||||
dataBufferRef.current = [];
|
||||
triggerUpdate();
|
||||
}, [triggerUpdate]);
|
||||
|
||||
// 根据时间范围获取数据
|
||||
// 获取指定时间范围的数据
|
||||
const getDataForTimeRange = useCallback(
|
||||
(minutes: number): ITrafficDataPoint[] => {
|
||||
const pointsToShow = minutes * 60; // 每分钟60个数据点
|
||||
return dataBufferRef.current.slice(-pointsToShow);
|
||||
if (!globalSampler) return [];
|
||||
return globalSampler.getDataForTimeRange(minutes);
|
||||
},
|
||||
[],
|
||||
);
|
||||
|
||||
// 构建图表数据管理对象
|
||||
const graphData: ITrafficGraphData = {
|
||||
dataPoints: dataBufferRef.current,
|
||||
addDataPoint,
|
||||
clearData,
|
||||
getDataForTimeRange,
|
||||
};
|
||||
// 清空数据
|
||||
const clearData = useCallback(() => {
|
||||
if (globalSampler) {
|
||||
globalSampler.clear();
|
||||
triggerUpdate();
|
||||
}
|
||||
}, [triggerUpdate]);
|
||||
|
||||
// 构建监控数据对象
|
||||
const trafficMonitorData: ITrafficMonitorData = {
|
||||
traffic: monitorData?.traffic || {
|
||||
raw: { up_rate: 0, down_rate: 0 },
|
||||
formatted: { up_rate: "0B", down_rate: "0B" },
|
||||
// 获取采样器统计信息
|
||||
const getSamplerStats = useCallback(() => {
|
||||
return (
|
||||
globalSampler?.getStats() || {
|
||||
rawBufferSize: 0,
|
||||
compressedBufferSize: 0,
|
||||
compressionQueueSize: 0,
|
||||
totalMemoryPoints: 0,
|
||||
}
|
||||
);
|
||||
}, []);
|
||||
|
||||
// 构建返回的监控数据，优先使用当前数据，fallback到最后有效数据
|
||||
const currentData = monitorData || lastValidData;
|
||||
const trafficMonitorData = {
|
||||
traffic: currentData?.traffic || {
|
||||
raw: { up: 0, down: 0, up_rate: 0, down_rate: 0 },
|
||||
formatted: {
|
||||
up_rate: "0B",
|
||||
down_rate: "0B",
|
||||
total_up: "0B",
|
||||
total_down: "0B",
|
||||
},
|
||||
is_fresh: false,
|
||||
},
|
||||
memory: monitorData?.memory || {
|
||||
raw: { inuse: 0 },
|
||||
formatted: { inuse: "0B" },
|
||||
memory: currentData?.memory || {
|
||||
raw: { inuse: 0, oslimit: 0, usage_percent: 0 },
|
||||
formatted: { inuse: "0B", oslimit: "0B", usage_percent: 0 },
|
||||
is_fresh: false,
|
||||
},
|
||||
};
|
||||
|
||||
return {
|
||||
// 原始监控数据
|
||||
// 监控数据
|
||||
monitorData: trafficMonitorData,
|
||||
|
||||
// 图表数据管理
|
||||
graphData,
|
||||
// 数据获取状态
|
||||
isLoading: !monitorData && !error,
|
||||
graphData: {
|
||||
dataPoints: globalSampler?.getDataForTimeRange(60) || [], // 默认获取1小时数据
|
||||
getDataForTimeRange,
|
||||
clearData,
|
||||
},
|
||||
|
||||
// 状态信息
|
||||
isLoading: !currentData && !error,
|
||||
error,
|
||||
// 数据新鲜度
|
||||
isDataFresh: monitorData?.overall_status === "active",
|
||||
isDataFresh: currentData?.traffic?.is_fresh || false,
|
||||
hasValidData: !!lastValidData,
|
||||
|
||||
// 性能统计
|
||||
samplerStats: getSamplerStats(),
|
||||
referenceCount: refCounter.getCount(),
|
||||
};
|
||||
};
|
||||
|
||||
/**
|
||||
* 仅获取流量数据的轻量级Hook
|
||||
* 适用于不需要图表数据的组件
|
||||
* 轻量级流量数据Hook
|
||||
*/
|
||||
export const useTrafficData = () => {
|
||||
const { monitorData, isLoading, error, isDataFresh } = useTrafficMonitor();
|
||||
export const useTrafficDataEnhanced = () => {
|
||||
const { monitorData, isLoading, error, isDataFresh, hasValidData } =
|
||||
useTrafficMonitorEnhanced();
|
||||
|
||||
return {
|
||||
traffic: monitorData.traffic,
|
||||
@@ -228,18 +378,21 @@ export const useTrafficData = () => {
|
||||
isLoading,
|
||||
error,
|
||||
isDataFresh,
|
||||
hasValidData,
|
||||
};
|
||||
};
|
||||
|
||||
/**
|
||||
* 仅获取图表数据的Hook
|
||||
* 适用于图表组件
|
||||
* 图表数据Hook
|
||||
*/
|
||||
export const useTrafficGraphData = () => {
|
||||
const { graphData, isDataFresh } = useTrafficMonitor();
|
||||
export const useTrafficGraphDataEnhanced = () => {
|
||||
const { graphData, isDataFresh, samplerStats, referenceCount } =
|
||||
useTrafficMonitorEnhanced();
|
||||
|
||||
return {
|
||||
...graphData,
|
||||
isDataFresh,
|
||||
samplerStats,
|
||||
referenceCount,
|
||||
};
|
||||
};
|
||||
|
||||
Reference in New Issue
Block a user