├── public ├── robots.txt ├── favicon.ico ├── logo192.png ├── logo512.png ├── manifest.json └── index.html ├── src ├── types │ ├── flame-graph.ts │ └── js-self-profiling.ts ├── index.tsx ├── index.css ├── plugins │ └── MyPlugin.ts ├── utils │ └── samples.ts ├── core │ └── flame-graph-adaptor │ │ ├── index.ts │ │ ├── transfromSamplesToStack.ts │ │ └── transformStackToFlameChart.ts ├── components │ ├── chart-detail │ │ └── index.tsx │ ├── samples │ │ └── index.tsx │ ├── drag-bar │ │ └── index.tsx │ ├── flame-chart │ │ └── index.tsx │ └── header │ │ └── index.tsx ├── App.tsx └── test-data │ ├── pauseFunc.json │ ├── profiling-2025-07-20T06-35-22.json │ └── edit-three.json ├── index.html ├── .gitignore ├── tsconfig.json ├── package.json ├── README.md ├── 使用说明.md ├── server.js └── js-self-profiling-demo.html /public/robots.txt: -------------------------------------------------------------------------------- 1 | # https://www.robotstxt.org/robotstxt.html 2 | User-agent: * 3 | Disallow: 4 | -------------------------------------------------------------------------------- /public/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhangmingyuan666/js-self-profiling-frame-graph/HEAD/public/favicon.ico -------------------------------------------------------------------------------- /public/logo192.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhangmingyuan666/js-self-profiling-frame-graph/HEAD/public/logo192.png -------------------------------------------------------------------------------- /public/logo512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zhangmingyuan666/js-self-profiling-frame-graph/HEAD/public/logo512.png -------------------------------------------------------------------------------- /src/types/flame-graph.ts: -------------------------------------------------------------------------------- 1 | export interface IFlameGraphData { 2 | name?: string, 3 | start?: number, 4 | duration?: number, 5 | children?: IFlameGraphData[] 6 | } 7 | 8 | export interface IFlameGraphDataRoot { 9 | children?: IFlameGraphData[] 10 | } -------------------------------------------------------------------------------- /index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | Document 8 | 9 | 10 | 11 | 12 | 13 | 14 | -------------------------------------------------------------------------------- /src/index.tsx: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import ReactDOM from 'react-dom/client'; 3 | import './index.css'; 4 | import App from './App'; 5 | 6 | const root = ReactDOM.createRoot( 7 | document.getElementById('root') as HTMLElement 8 | ); 9 | root.render( 10 | // 11 | 12 | // 13 | ); 14 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. 2 | 3 | # dependencies 4 | /node_modules 5 | /.pnp 6 | .pnp.js 7 | 8 | # testing 9 | /coverage 10 | 11 | # production 12 | /build 13 | 14 | # misc 15 | .DS_Store 16 | .env.local 17 | .env.development.local 18 | .env.test.local 19 | .env.production.local 20 | 21 | npm-debug.log* 22 | yarn-debug.log* 23 | yarn-error.log* 24 | -------------------------------------------------------------------------------- /src/index.css: -------------------------------------------------------------------------------- 1 | body { 2 | margin: 0; 3 | font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 4 | 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', 5 | sans-serif; 6 | -webkit-font-smoothing: antialiased; 7 | -moz-osx-font-smoothing: grayscale; 8 | } 9 | 10 | code { 11 | font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New', 12 | monospace; 13 | } 14 | -------------------------------------------------------------------------------- /src/plugins/MyPlugin.ts: -------------------------------------------------------------------------------- 1 | import {UIPlugin} from 'flame-chart-js'; 2 | 3 | export class MyPlugin extends UIPlugin { 4 | constructor({name = 'myOwnPlugin'}) { 5 | super(name); 6 | } 7 | 8 | height = 100; // height of the plugin in pixels 9 | 10 | // this method will be called on each render 11 | override render() { 12 | // do something 13 | console.log(this); 14 | this.renderEngine.addRectToRenderQueue('red', 100, 0, 10); 15 | } 16 | } -------------------------------------------------------------------------------- /src/utils/samples.ts: -------------------------------------------------------------------------------- 1 | import {nanoid} from 'nanoid'; 2 | export function samplesFactory(name: string, data: any) { 3 | return { 4 | name, 5 | data, 6 | key: nanoid(), 7 | }; 8 | } 9 | 10 | export function initJSONSamples(json: any[]) { 11 | return json.map((jsonData: any, index: number) => { 12 | return samplesFactory(`test${index}`, jsonData); 13 | }); 14 | } 15 | 16 | export function getNumberWithToFixed(fixedNumber: number = 3) { 17 | return Number(fixedNumber.toFixed(3)); 18 | } 19 | -------------------------------------------------------------------------------- /public/manifest.json: -------------------------------------------------------------------------------- 1 | { 2 | "short_name": "React App", 3 | "name": "Create React App Sample", 4 | "icons": [ 5 | { 6 | "src": "favicon.ico", 7 | "sizes": "64x64 32x32 24x24 16x16", 8 | "type": "image/x-icon" 9 | }, 10 | { 11 | "src": "logo192.png", 12 | "type": "image/png", 13 | "sizes": "192x192" 14 | }, 15 | { 16 | "src": "logo512.png", 17 | "type": "image/png", 18 | "sizes": "512x512" 19 | } 20 | ], 21 | "start_url": ".", 22 | "display": "standalone", 23 | "theme_color": "#000000", 24 | "background_color": "#ffffff" 25 | } 26 | -------------------------------------------------------------------------------- /tsconfig.json: -------------------------------------------------------------------------------- 1 | { 2 | "compilerOptions": { 3 | "target": "es5", 4 | "lib": [ 5 | "dom", 6 | "dom.iterable", 7 | "esnext" 8 | ], 9 | "allowJs": true, 10 | "skipLibCheck": true, 11 | "esModuleInterop": true, 12 | "allowSyntheticDefaultImports": true, 13 | "strict": true, 14 | "forceConsistentCasingInFileNames": true, 15 | "noFallthroughCasesInSwitch": true, 16 | "module": "esnext", 17 | "moduleResolution": "node", 18 | "resolveJsonModule": true, 19 | "isolatedModules": true, 20 | "noEmit": true, 21 | "jsx": "react-jsx" 22 | }, 23 | "include": [ 24 | "src" 25 | ] 26 | } 27 | -------------------------------------------------------------------------------- /src/core/flame-graph-adaptor/index.ts: -------------------------------------------------------------------------------- 1 | import {IJsSelfProfilingJSON} from '../../types/js-self-profiling'; 2 | import {transformSamplesToFlameJsAdaptor} from './transformStackToFlameChart'; 3 | import {transfromSamplesToStack} from './transfromSamplesToStack'; 4 | 5 | export default function flameGraphAdaptor(sourceData: IJsSelfProfilingJSON) { 6 | // 做一层深拷贝，因为没有复杂数据，所以直接用这个方法进行 7 | sourceData = JSON.parse(JSON.stringify(sourceData)); 8 | const {samples: sourceDataWithStack} = transfromSamplesToStack(sourceData); 9 | // console.log(sourceDataWithStack); 10 | 11 | const ans = transformSamplesToFlameJsAdaptor(sourceDataWithStack); 12 | // console.log(ans); 13 | return ans; 14 | } 15 | -------------------------------------------------------------------------------- /src/types/js-self-profiling.ts: -------------------------------------------------------------------------------- 1 | export interface IFrame { 2 | column?: number; 3 | line?: number; 4 | name: string; 5 | resourceId?: number; 6 | } 7 | 8 | export interface IStack { 9 | frameId: number; 10 | parentId?: number; 11 | } 12 | 13 | export interface ISample { 14 | timestamp: number; 15 | index?: number; 16 | stackId?: number; 17 | stack?: IFrameRecordData[]; 18 | } 19 | 20 | export interface ISampleAfterTransformStack extends ISample { 21 | index: number; 22 | stackId: number; 23 | stack: IFrameRecordData[]; 24 | } 25 | 26 | export interface IJsSelfProfilingJSON { 27 | frames: IFrame[]; 28 | resources: string[]; 29 | samples: ISample[]; 30 | stacks: IStack[]; 31 | } 32 | 33 | export interface IFrameRecordData extends IFrame { 34 | name: string; 35 | resourceURI: string; 36 | } 37 | -------------------------------------------------------------------------------- /src/components/chart-detail/index.tsx: -------------------------------------------------------------------------------- 1 | import styled from 'styled-components' 2 | import {Card, Empty, Descriptions} from 'antd' 3 | 4 | const ChartDetail: React.FC = ({ 5 | data 6 | }) => { 7 | const { 8 | info, 9 | duration, 10 | start, 11 | } = data || {} 12 | const { 13 | column, line, name, resourceURI 14 | } = info || {} 15 | 16 | return 17 | {data ? 19 | {column} 20 | {line} 21 | {resourceURI} 22 | {name} 23 | {duration} 24 | {start} 25 | 26 | : } 27 | 28 | } 29 | 30 | export default ChartDetail 31 | 32 | const ChartDetailContainer = styled.div` 33 | height: 100%; 34 | .descContainer { 35 | margin-left: 10px; 36 | } 37 | ` -------------------------------------------------------------------------------- /src/components/samples/index.tsx: -------------------------------------------------------------------------------- 1 | import styled from 'styled-components' 2 | import {Divider, Tag, Space} from 'antd' 3 | interface ISamples { 4 | list: any 5 | onSetListIndex: any 6 | currentIndex: number 7 | } 8 | 9 | const Samples: React.FC = ({ 10 | onSetListIndex, 11 | currentIndex, 12 | list 13 | }) => { 14 | const onSelect = (index: number) => { 15 | onSetListIndex(index) 16 | } 17 | 18 | return 19 | DataList 20 | 21 | { 22 | list.map((item: any, index: number) => { 23 | return onSelect(index)} 27 | className="tags" 28 | > 29 | {item.name} 30 | 31 | }) 32 | } 33 | 34 | 35 | } 36 | 37 | export default Samples 38 | 39 | const SamplesContainer = styled.div` 40 | display: flex; 41 | flex-direction: column; 42 | 43 | .tags { 44 | display: flex; 45 | align-items: center; 46 | justify-content: center; 47 | height: 40px 48 | } 49 | ` -------------------------------------------------------------------------------- /src/App.tsx: -------------------------------------------------------------------------------- 1 | import FlameGraph from './components/flame-chart'; 2 | import Header from './components/header' 3 | import Samples from './components/samples' 4 | import styled from 'styled-components' 5 | import {useEffect, useState} from 'react'; 6 | import EditorTest from './test-data/editorTest.json' 7 | import PauseFunc from './test-data/pauseFunc.json' 8 | import EditFoo from './test-data/edit-foo.json' 9 | import EditTwo from './test-data/edit-two.json' 10 | import EditThree from './test-data/edit-three.json' 11 | import {initJSONSamples} from './utils/samples'; 12 | function App() { 13 | const [JSONSamples, setJSONSamples] = useState([]) 14 | const [currentIndex, setCurrentIndex] = useState(0) 15 | 16 | useEffect(() => { 17 | const ans: any = initJSONSamples([PauseFunc, EditorTest, EditFoo, EditTwo, EditThree]) 18 | setJSONSamples(ans) 19 | }, []) 20 | 21 | return ( 22 | 23 |
24 | 25 | { 26 | JSONSamples.length && 27 | } 28 | 29 | ); 30 | } 31 | 32 | export default App; 33 | 34 | const AppContainer = styled.div` 35 | min-width: 400px; 36 | padding: 0 20px; 37 | margin: 0 auto; 38 | ` 39 | -------------------------------------------------------------------------------- /package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "js-self-profiling-frame-graph", 3 | "version": "0.1.0", 4 | "private": true, 5 | "dependencies": { 6 | "@testing-library/jest-dom": "^5.16.5", 7 | "@testing-library/react": "^13.4.0", 8 | "@testing-library/user-event": "^13.5.0", 9 | "@types/jest": "^27.5.2", 10 | "@types/node": "^16.18.18", 11 | "@types/react": "^18.0.28", 12 | "@types/react-dom": "^18.0.11", 13 | "antd": "^5.3.3", 14 | "flame-chart-js": "^2.3.1", 15 | "nanoid": "^4.0.2", 16 | "react": "^18.2.0", 17 | "react-dom": "^18.2.0", 18 | "react-scripts": "5.0.1", 19 | "styled-components": "^5.3.9", 20 | "typescript": "^4.9.5", 21 | "use-resize-observer": "^9.1.0", 22 | "web-vitals": "^2.1.4" 23 | }, 24 | "scripts": { 25 | "start": "react-scripts start", 26 | "build": "react-scripts build", 27 | "test": "react-scripts test", 28 | "eject": "react-scripts eject" 29 | }, 30 | "eslintConfig": { 31 | "extends": [ 32 | "react-app", 33 | "react-app/jest" 34 | ] 35 | }, 36 | "browserslist": { 37 | "production": [ 38 | ">0.2%", 39 | "not dead", 40 | "not op_mini all" 41 | ], 42 | "development": [ 43 | "last 1 chrome version", 44 | "last 1 firefox version", 45 | "last 1 safari version" 46 | ] 47 | }, 48 | "devDependencies": { 49 | "@types/styled-components": "^5.1.26" 50 | } 51 | } 52 | -------------------------------------------------------------------------------- /public/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 12 | 13 | 17 | 18 | 27 | React App 28 | 29 | 30 | 31 |
32 | 42 | 43 | 44 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # js-self-profiling-frame-chart 2 | 3 | A frame chart which display js-self-profiling json data 4 | 5 | 用于将`js-self-profiling` 导出的`json`数据转化为火焰图 6 | 7 | ![img](https://img.shields.io/badge/npm-6.14.11-green.svg) 8 | ![img](https://img.shields.io/badge/node-14.16.0-green.svg) 9 | 10 | # 效果概览 11 | 12 | 查看预览效果(vercel) 13 | 14 | 您可以上传您的js-self-profiling json数据到如上vercel站点中 15 | 16 | 17 | 18 | # 如何使用 19 | 20 | 1. `npm i` 21 | 2. `npm start` 22 | 23 | # 如何加载数据？ 24 | 25 | 需要导入js-self-profiling的数据 26 | 27 | 将它在`src/components/flame-chart.ts`中引入，或者拖拽放入主项目即可即可 28 | 29 | ## Example 30 | 31 | ```tsx 32 | import EditorTest from '../../test-data/editorTest.json' 33 | 34 | const chartData = flameGraphAdaptor(EditorTest) 35 | ``` 36 | 37 | ## 如何获取到`js-self-profiling` 数据 38 | 39 | ### 让Chrome有使用`js-self-profiling`的权限 40 | 41 | 对于新兴API，在Chrome中默认禁止使用，而如果您想要开启这个功能，请在你项目的html响应的请求头中添加 42 | 43 | `Document-Policy: js-profiling` 44 | 45 | 如下静态代码即最小demo，您可以 46 | 47 | ```js 48 | // 当前文件路径dirname 49 | const folderPath = path.resolve(__dirname, "./static"); 50 | 51 | const server = http.createServer((req, res) => { 52 | // 收到 127.0.0.1:3000/index.html 我们返回index.html资源 53 | try { 54 | // 获取路径后缀 index.html 55 | const info = url.parse(req.url); 56 | 57 | // 文件夹路径 + 需要获取的资源路径 58 | const filePath = path.resolve(folderPath, "./" + info.path); 59 | 60 | // 流读取 61 | const fileStream = fs.createReadStream(filePath); 62 | 63 | // 设置响应头，以让chorme允许您采用js-self-profiling规范 64 | res.setHeader('Document-Policy', 'js-profiling') 65 | fileStream.pipe(res); 66 | } catch (err) { 67 | console.log('err'); 68 | } 69 | }); 70 | ``` 71 | 72 | 总而言之，只要想办法让您的项目中的html文件的网络响应具有此响应头，就可以使用`js-self-profiling` API 73 | 74 | ### 如何获取`js-self-profiling`数据 75 | 76 | ```tsx 77 | // start 78 | const profiler = new Profiler({ sampleInterval: 10, maxBufferSize: 10000 }); 79 | 80 | setTimeout(async () => { 81 | // select 82 | const trace = await profiler.stop(); 83 | const traceJson = JSON.stringify(trace); 84 | console.log(traceJson); 85 | }, 5000); 86 | ``` 87 | 88 | 此时`traceJson` 数据就是我们期望的`js-self-profiling`数据 89 | 90 | 将`traceJson`数据放入此项目中，即可实现基本的数据分析 91 | 92 | # 如果出现分析错误或存疑 93 | 94 | 联系 Email：`2369558390@qq.com` 95 | 96 | -------------------------------------------------------------------------------- /src/components/drag-bar/index.tsx: -------------------------------------------------------------------------------- 1 | import {useEffect, useRef, useState} from 'react' 2 | import styled from 'styled-components' 3 | 4 | enum STATUS { 5 | idle = 'idle', 6 | dragging = 'dragging' 7 | } 8 | 9 | interface IDragBar { 10 | containerRef: any 11 | setDragBar: any 12 | } 13 | 14 | const minLeft = 30; 15 | const minRight = 80; 16 | 17 | export const DragBar: React.FC = ({ 18 | containerRef, 19 | setDragBar 20 | }) => { 21 | const dragBarRef = useRef() 22 | const statusRef = useRef(STATUS.idle) 23 | const [, forceUpdate] = useState({}) 24 | 25 | useEffect(() => { 26 | if (containerRef.current) { 27 | containerRef.current.addEventListener('mousemove', (e: React.MouseEvent) => { 28 | e.preventDefault() 29 | if (statusRef.current === STATUS.dragging && containerRef.current) { 30 | const {x = 0, width = 0} = containerRef.current?.getBoundingClientRect() || {} 31 | const offsetWithPercentage = Math.floor((e.clientX - x) / width * 100) 32 | 33 | if (offsetWithPercentage < minLeft) { 34 | setDragBar(minLeft) 35 | return 36 | } 37 | if (offsetWithPercentage > minRight) { 38 | setDragBar(minRight) 39 | return 40 | } 41 | setDragBar(offsetWithPercentage) 42 | } 43 | }) 44 | 45 | containerRef.current.addEventListener('mouseup', (e: React.MouseEvent) => { 46 | e.preventDefault() 47 | statusRef.current = STATUS.idle; 48 | forceUpdate({}) 49 | }) 50 | } 51 | }, []) 52 | 53 | const onMouseDown = (e: React.MouseEvent) => { 54 | e.preventDefault() 55 | statusRef.current = STATUS.dragging 56 | } 57 | 58 | const onMouseUp = (e: React.MouseEvent) => { 59 | e.preventDefault() 60 | statusRef.current = STATUS.idle 61 | } 62 | 63 | return 67 |
68 | 69 |
70 | 71 | } 72 | 73 | export default DragBar 74 | 75 | const DragBarContainer = styled.div` 76 | width: 10px; 77 | transition: all 0.15s; 78 | 79 | .dragBar { 80 | height: 100%; 81 | display: flex; 82 | background: #ccc; 83 | flex-direction: column; 84 | transition: 0.5s all; 85 | 86 | &:hover { 87 | background: #000; 88 | } 89 | } 90 | 91 | .dragBar-active { 92 | background: #000; 93 | } 94 | ` 95 | 96 | -------------------------------------------------------------------------------- /src/core/flame-graph-adaptor/transfromSamplesToStack.ts: -------------------------------------------------------------------------------- 1 | /** 2 | * @author zhangmingyuan01 3 | * @description 提供将js-self-profiling的json数据转换为有stack属性的调用栈数据结构的数据结构 4 | * stack: [{fun1}, {fun2}, {fun3}] 呈现出调用栈 5 | */ 6 | 7 | import {getNumberWithToFixed} from '../../utils/samples'; 8 | import {IFrameRecordData, IJsSelfProfilingJSON, ISample} from '../../types/js-self-profiling'; 9 | 10 | /** 11 | * @description 入口函数，用于进行上述转换 12 | * @param sourceData js-self-profiling 导出的数据 13 | * @returns sourceData中的samples数组中，如果存在函数调用栈，那么都被添加上当前时间戳对应的所有函数调用栈(key: stack) 14 | */ 15 | export function transfromSamplesToStack(sourceData: IJsSelfProfilingJSON) { 16 | const { 17 | samples, // samples[i]函数执行时间下标，升序 18 | // resources, // resources[i]资源uri 19 | // frames, // frames[i] i下表下的函数对象，包含函数名和函数的line和col 20 | // stacks, // stacks[i] 调用栈记录 21 | } = sourceData; 22 | 23 | // 遍历samples，为存在stackId的sample添加stack数据结构 24 | samples.forEach((sample: ISample, i: number) => { 25 | const {stackId, timestamp} = sample; 26 | sample.timestamp = getNumberWithToFixed(timestamp); 27 | 28 | // 只有有函数调用栈的才需要被处理 29 | if (stackId) { 30 | handleStack(stackId, sample, sourceData, i); 31 | } 32 | }); 33 | 34 | // 因为需要把绝对时间转换为相对时间，所以必须加入一个虚拟的时间作为结尾，这个时间为10ms 35 | addLastSample(samples); 36 | 37 | return sourceData; 38 | } 39 | 40 | /** 41 | * @description 用于为每个samples依据自己的顶层stackId而计算出所有的调用栈，收集在stack数据结构里（dfs） 42 | * @param stackId 标识当前调用栈顶的id 43 | * @param sample js-self-profiling的samples数据，此时已经有了 44 | * @param sourceData js-self-profiling的全部数据 45 | * @param i 标识当前stack中的是在大samples哪个index中，日后方便查询，进行相对时间的计算(持续时间: t2-t1) 46 | */ 47 | function handleStack(stackId: number, sample: ISample, sourceData: IJsSelfProfilingJSON, i: number) { 48 | // frameId是当前stack中frame的下标；parentId是父亲的stack的下标 49 | const {frameId, parentId} = sourceData.stacks[stackId]; 50 | // 当前栈顶函数对应的frame 51 | const frame = sourceData.frames[frameId]; 52 | 53 | // 标识当前函数调用栈对应的资源 54 | let {resourceId} = frame; 55 | resourceId = resourceId ?? -1; 56 | const resource = resourceId >= 0 ? sourceData.resources[resourceId] : ''; // 当前地址 57 | 58 | // 记录当前数据，如果没有函数名视为是匿名函数 59 | const recordData: IFrameRecordData = { 60 | ...frame, 61 | name: frame.name || '(anonymous)', 62 | resourceURI: resource, 63 | }; 64 | 65 | // 为什么需要给他index? 后续需要将绝对时间转化为相对时间的计算，必要情况下需要进行index之间的时间记录 66 | sample.index = i; 67 | 68 | // 把每个函数调用栈中函数的对应信息记录在stack数组里 69 | sample.stack = sample.stack || []; 70 | sample.stack.unshift(recordData); 71 | 72 | // 如果有父调用栈，递归处理 73 | if (parentId) { 74 | handleStack(parentId, sample, sourceData, i); 75 | } 76 | } 77 | 78 | /** 79 | * @description 因为需要把绝对时间转换为相对时间，所以必须加入一个虚拟的时间作为结尾，这个时间为10ms 80 | * @param samples 81 | */ 82 | function addLastSample(samples: ISample[]) { 83 | const lastSample = samples[samples.length - 1]; 84 | const lastTimeStamp: ISample = { 85 | // 为最后一个 86 | timestamp: lastSample.timestamp + 10, 87 | }; 88 | 89 | samples.push(lastTimeStamp); 90 | } 91 | 92 | -------------------------------------------------------------------------------- /使用说明.md: -------------------------------------------------------------------------------- 1 | # JS Self Profiling 数据生成工具使用说明 2 | 3 | ## 概述 4 | 5 | 这个工具包含一个 HTML 页面和一个 HTTP 服务器，用于生成符合 `js-self-profiling` 规范的性能分析数据。生成的 JSON 数据可以直接导入到您的火焰图项目中进行分析。 6 | 7 | ## 文件说明 8 | 9 | - `js-self-profiling-demo.html` - 主要的演示页面，包含性能分析功能 10 | - `server.js` - HTTP 服务器，提供正确的响应头支持 11 | - `使用说明.md` - 本说明文档 12 | 13 | ## 使用步骤 14 | 15 | ### 1. 启动服务器 16 | 17 | ```bash 18 | node server.js 19 | ``` 20 | 21 | 服务器将在 `http://localhost:3000` 启动。 22 | 23 | ### 2. 访问演示页面 24 | 25 | 在 Chrome 浏览器中打开： 26 | 27 | ``` 28 | http://localhost:3000/js-self-profiling-demo.html 29 | ``` 30 | 31 | ### 3. 使用性能分析工具 32 | 33 | 1. **开始分析**：点击"开始分析"按钮启动性能分析器 34 | 2. **生成数据**：在分析期间执行以下操作： 35 | - 点击"执行计算任务"按钮 36 | - 在页面上进行交互 37 | - 滚动页面 38 | - 执行其他 JavaScript 操作 39 | 3. **停止分析**：点击"停止分析"按钮结束分析 40 | 4. **保存数据**： 41 | - 点击"下载数据"按钮保存 JSON 文件到本地 42 | - 点击"保存到项目"按钮将数据直接保存到项目的 `src/test-data` 目录 43 | 44 | ## 重要注意事项 45 | 46 | ### 浏览器要求 47 | 48 | - **必须使用 Chrome 浏览器**（js-self-profiling API 目前只在 Chrome 中实现） 49 | - 建议使用 Chrome 94 或更高版本 50 | 51 | ### 访问方式 52 | 53 | - **必须通过 HTTP 服务器访问**，不能直接打开 HTML 文件（file://协议） 54 | - 服务器会自动设置 `Document-Policy: js-profiling` 响应头 55 | 56 | ### API 支持检查 57 | 58 | 页面会自动检查浏览器是否支持 js-self-profiling API，如果不支持会显示错误信息。 59 | 60 | ## 生成的数据格式 61 | 62 | 下载的 JSON 文件包含以下主要字段： 63 | 64 | ```json 65 | { 66 | "samples": [...], // 性能样本数据 67 | "resources": [...], // 资源信息 68 | "frames": [...], // 函数帧信息 69 | "stacks": [...] // 调用栈信息 70 | } 71 | ``` 72 | 73 | ## 数据导入到火焰图项目 74 | 75 | ### 方式一：手动导入（下载数据） 76 | 77 | 1. 将下载的 JSON 文件复制到您的火焰图项目中 78 | 2. 在 `src/components/flame-chart.ts` 中导入数据： 79 | 80 | ```tsx 81 | import YourProfilingData from '../../path/to/your-data.json'; 82 | 83 | const chartData = flameGraphAdaptor(YourProfilingData); 84 | ``` 85 | 86 | ### 方式二：自动保存到项目（推荐） 87 | 88 | 1. 点击"保存到项目"按钮，数据会自动保存到 `src/test-data` 目录 89 | 2. 保存成功后，页面会显示导入代码示例 90 | 3. 直接复制显示的代码到您的项目中使用 91 | 92 | ## 故障排除 93 | 94 | ### 问题：API 不可用 95 | 96 | **解决方案**： 97 | 98 | 1. 确保使用 Chrome 浏览器 99 | 2. 确保通过 HTTP 服务器访问（http://localhost:3000） 100 | 3. 检查 Chrome 版本是否支持 js-self-profiling 101 | 102 | ### 问题：服务器启动失败 103 | 104 | **解决方案**： 105 | 106 | 1. 确保端口 3000 未被占用 107 | 2. 检查 Node.js 是否正确安装 108 | 3. 尝试使用其他端口（修改 server.js 中的 PORT 变量） 109 | 110 | ### 问题：下载的数据为空 111 | 112 | **解决方案**： 113 | 114 | 1. 确保在分析期间执行了足够的操作 115 | 2. 检查浏览器控制台是否有错误信息 116 | 3. 尝试延长分析时间 117 | 118 | ### 问题：保存到项目失败 119 | 120 | **解决方案**： 121 | 122 | 1. 确保服务器正在运行 123 | 2. 检查 `src/test-data` 目录是否存在且有写入权限 124 | 3. 查看浏览器控制台是否有网络错误 125 | 4. 确保数据已成功生成（先完成分析再保存） 126 | 127 | ## 技术细节 128 | 129 | ### 性能分析器配置 130 | 131 | ```javascript 132 | new Profiler({ 133 | sampleInterval: 10, // 采样间隔（毫秒） 134 | maxBufferSize: 10000, // 最大缓冲区大小 135 | }); 136 | ``` 137 | 138 | ### 响应头设置 139 | 140 | 服务器自动设置以下响应头： 141 | 142 | ``` 143 | Document-Policy: js-profiling 144 | ``` 145 | 146 | 这允许 Chrome 浏览器启用 js-self-profiling API。 147 | 148 | ### API 端点 149 | 150 | 服务器提供以下 API 端点： 151 | 152 | - `POST /api/save-data` - 保存性能分析数据到 `src/test-data` 目录 153 | - `GET /api/list-test-data` - 获取 `src/test-data` 目录中的文件列表 154 | 155 | ## 联系支持 156 | 157 | 如果遇到问题，请联系：`2369558390@qq.com` 158 | -------------------------------------------------------------------------------- /src/components/flame-chart/index.tsx: -------------------------------------------------------------------------------- 1 | import {FlameChart, FlameChartContainer, FlameChartPlugin, TimeGridPlugin} from 'flame-chart-js'; 2 | import {useCallback, useEffect, useRef, useState} from 'react'; 3 | import flameGraphAdaptor from '../../core/flame-graph-adaptor'; 4 | import {MyPlugin} from '../../plugins/MyPlugin'; 5 | import EditorTest from '../../test-data/editorTest.json' 6 | import PauseFunc from '../../test-data/pauseFunc.json' 7 | import useResizeObserver from 'use-resize-observer'; 8 | import ChartDetail from '../chart-detail'; 9 | import styled from 'styled-components' 10 | import {Divider, message} from 'antd' 11 | import DragBar from '../drag-bar'; 12 | 13 | interface IFlameGraph { 14 | currentSamples: any, 15 | currentIndex: number 16 | } 17 | 18 | const DEFAULT_OFFSET = 70; 19 | const WIDTH_OF_DRAGBAR = 10; 20 | 21 | const FlameGraph: React.FC = ({ 22 | currentSamples, 23 | currentIndex 24 | }) => { 25 | const chartRef = useRef(); //拿到canvas容器 26 | const boxRef = useRef(); // 拿到container容器 27 | const chartShadowRef = useRef(); 28 | const detailBoxRef = useRef(); 29 | const containerRef = useRef() 30 | const [selectInfo, setSelectInfo] = useState(null) 31 | const {data} = currentSamples 32 | 33 | const [offset, setOffset] = useState(DEFAULT_OFFSET); 34 | 35 | const leftCalc = `calc(${offset}% - ${WIDTH_OF_DRAGBAR}px)` 36 | const rightCalc = `calc(100% - ${offset}% - ${WIDTH_OF_DRAGBAR}px)` 37 | 38 | const initialize = useCallback(() => { 39 | try { 40 | if (chartRef.current && boxRef.current) { 41 | const {width = 0, height = 0} = boxRef.current.getBoundingClientRect(); 42 | 43 | chartRef.current.width = width; 44 | chartRef.current.height = height - 3; 45 | 46 | const chartData = flameGraphAdaptor(data) 47 | const canvas = chartRef.current 48 | 49 | const flameChart = new FlameChart({ 50 | canvas, // mandatory 51 | //timeseries: [/* ... */], 52 | timeframeTimeseries: [/* ... */], 53 | data: [ 54 | chartData as any, 55 | ], 56 | settings: { 57 | options: { 58 | timeUnits: 'ms', 59 | }, 60 | }, 61 | }); 62 | flameChart.on('select', (element: any) => { 63 | const {node} = element || {} 64 | if (node) { 65 | const {source} = node 66 | if (source) { 67 | setSelectInfo(source) 68 | } 69 | } 70 | }); 71 | chartShadowRef.current = flameChart 72 | } 73 | } catch (err) { 74 | message.error("Please upload data in json-self-profiling format") 75 | } 76 | }, [data, chartRef]); 77 | 78 | useEffect(() => { 79 | initialize() 80 | }, [initialize]) 81 | 82 | useResizeObserver({ 83 | ref: boxRef, 84 | onResize: ({width = 0, height = 0}) => { 85 | chartShadowRef.current?.resize(width, height - 3) 86 | }, 87 | }); 88 | 89 | 90 | return 91 | Chart 92 |
93 |
96 | 97 |
98 | 99 |
102 | 103 |
104 |
105 | 106 | } 107 | 108 | export default FlameGraph 109 | 110 | const ChartContainer = styled.div` 111 | .board { 112 | height: 600px; 113 | display: flex; 114 | .boxContainer { 115 | height: 100%; 116 | } 117 | 118 | .detailBox { 119 | height: 100%; 120 | } 121 | } 122 | 123 | ` -------------------------------------------------------------------------------- /src/components/header/index.tsx: -------------------------------------------------------------------------------- 1 | import styled from 'styled-components' 2 | import {Button, message} from 'antd' 3 | import React, {useRef, useState} from 'react'; 4 | import {samplesFactory} from '../../utils/samples'; 5 | 6 | interface IHeader { 7 | setList: any 8 | list: any[] 9 | } 10 | const Header: React.FC = ({setList, list}) => { 11 | function App() { 12 | const [isDragging, setIsDragging] = useState(false); 13 | const uploadFileRef = useRef() 14 | 15 | function handleDragEnter(event: React.DragEvent) { 16 | event.preventDefault(); 17 | setIsDragging(true); 18 | } 19 | 20 | function handleDragLeave(event: React.DragEvent) { 21 | event.preventDefault(); 22 | setIsDragging(false); 23 | } 24 | 25 | function handleDrop(event: React.DragEvent) { 26 | event.preventDefault(); 27 | setIsDragging(false); 28 | const files = event.dataTransfer.files; 29 | handleFiles(files); 30 | } 31 | 32 | function onchange(event: any) { 33 | if (uploadFileRef.current) { 34 | handleFiles(uploadFileRef.current.files) 35 | } 36 | } 37 | 38 | function handleFiles(files: any) { 39 | for (const file of files) { 40 | // 在这里处理文件内容 41 | const {name, type} = file 42 | if (type !== "application/json") { 43 | message.error("Please upload data in json-self-profiling format") 44 | continue 45 | } 46 | const reader = new FileReader(); 47 | reader.onload = () => { 48 | const data = JSON.parse(reader.result as string); 49 | const sample = samplesFactory(name, data) 50 | setList((prev: any) => { 51 | return [...prev, sample] 52 | }) 53 | }; 54 | reader.readAsText(file); 55 | } 56 | } 57 | 58 | return ( 59 | 76 | ); 77 | } 78 | 79 | 80 | return 81 |
82 |
js-self-profiling-frame-graph
83 |
A framework that parses the JSON exported by js-self-profiling-api into a flame graph
84 |
85 |
86 | 87 |
88 | 89 | } 90 | 91 | const HeaderContainer = styled.div` 92 | display:flex; 93 | justify-content: space-between; 94 | align-items: center; 95 | height: 60px; 96 | margin-bottom: 10px; 97 | border-bottom: 1px solid #ccc; 98 | 99 | .header-logo { 100 | .header-title { 101 | font-size: 16px; 102 | } 103 | 104 | .header-desc { 105 | font-size: 12px; 106 | color: rgb(113 105 105); 107 | } 108 | } 109 | 110 | /* 隐藏默认的文件选择按钮 */ 111 | input[type="file"] { 112 | display: none; 113 | } 114 | 115 | /* 自定义文件选择按钮 */ 116 | .upload-btn { 117 | display: inline-block; 118 | width: 100%; 119 | height: 100%; 120 | cursor: pointer; 121 | } 122 | 123 | 124 | /* 将自定义按钮与文件名称组合在一起 */ 125 | .upload-container { 126 | position: relative; 127 | display: inline-block; 128 | width: 100%; 129 | height: 100%; 130 | } 131 | 132 | .upload-container input[type="file"] { 133 | position: absolute; 134 | left: 0; 135 | top: 0; 136 | opacity: 0; 137 | cursor: pointer; 138 | width: 100%; 139 | height: 100%; 140 | } 141 | ` 142 | 143 | export default Header -------------------------------------------------------------------------------- /server.js: -------------------------------------------------------------------------------- 1 | const http = require('http'); 2 | const fs = require('fs'); 3 | const path = require('path'); 4 | const url = require('url'); 5 | 6 | const PORT = 3000; 7 | const TEST_DATA_DIR = path.join(__dirname, 'src', 'test-data'); 8 | 9 | // 创建HTTP服务器 10 | const server = http.createServer((req, res) => { 11 | try { 12 | // 解析请求URL 13 | const parsedUrl = url.parse(req.url); 14 | let filePath = parsedUrl.pathname; 15 | 16 | // 处理保存数据的API请求 17 | if (filePath === '/api/save-data' && req.method === 'POST') { 18 | handleSaveData(req, res); 19 | return; 20 | } 21 | 22 | // 处理获取test-data目录文件列表的API请求 23 | if (filePath === '/api/list-test-data' && req.method === 'GET') { 24 | handleListTestData(req, res); 25 | return; 26 | } 27 | 28 | // 默认提供HTML文件 29 | if (filePath === '/') { 30 | filePath = '/js-self-profiling-demo.html'; 31 | } 32 | 33 | // 构建完整的文件路径 34 | const fullPath = path.join(__dirname, filePath); 35 | 36 | // 检查文件是否存在 37 | if (!fs.existsSync(fullPath)) { 38 | res.writeHead(404, { 'Content-Type': 'text/plain' }); 39 | res.end('文件未找到'); 40 | return; 41 | } 42 | 43 | // 读取文件 44 | const fileStream = fs.createReadStream(fullPath); 45 | 46 | // 设置响应头 47 | // 关键：设置Document-Policy响应头以允许js-self-profiling API 48 | res.setHeader('Document-Policy', 'js-profiling'); 49 | 50 | // 根据文件扩展名设置Content-Type 51 | const ext = path.extname(fullPath); 52 | let contentType = 'text/plain'; 53 | 54 | switch (ext) { 55 | case '.html': 56 | contentType = 'text/html'; 57 | break; 58 | case '.js': 59 | contentType = 'application/javascript'; 60 | break; 61 | case '.css': 62 | contentType = 'text/css'; 63 | break; 64 | case '.json': 65 | contentType = 'application/json'; 66 | break; 67 | } 68 | 69 | res.setHeader('Content-Type', contentType); 70 | 71 | // 流式传输文件内容 72 | fileStream.pipe(res); 73 | 74 | } catch (err) { 75 | console.error('服务器错误:', err); 76 | res.writeHead(500, { 'Content-Type': 'text/plain' }); 77 | res.end('服务器内部错误'); 78 | } 79 | }); 80 | 81 | // 处理保存数据的API 82 | function handleSaveData(req, res) { 83 | let body = ''; 84 | 85 | req.on('data', chunk => { 86 | body += chunk.toString(); 87 | }); 88 | 89 | req.on('end', () => { 90 | try { 91 | const data = JSON.parse(body); 92 | const timestamp = new Date().toISOString().slice(0, 19).replace(/:/g, '-'); 93 | const filename = `profiling-${timestamp}.json`; 94 | const filepath = path.join(TEST_DATA_DIR, filename); 95 | 96 | // 确保test-data目录存在 97 | if (!fs.existsSync(TEST_DATA_DIR)) { 98 | fs.mkdirSync(TEST_DATA_DIR, { recursive: true }); 99 | } 100 | 101 | // 写入文件 102 | fs.writeFileSync(filepath, JSON.stringify(data, null, 2)); 103 | 104 | res.writeHead(200, { 105 | 'Content-Type': 'application/json', 106 | 'Access-Control-Allow-Origin': '*', 107 | 'Access-Control-Allow-Methods': 'POST, OPTIONS', 108 | 'Access-Control-Allow-Headers': 'Content-Type' 109 | }); 110 | res.end(JSON.stringify({ 111 | success: true, 112 | message: '数据保存成功', 113 | filename: filename, 114 | filepath: filepath 115 | })); 116 | 117 | console.log(`✅ 数据已保存到: ${filepath}`); 118 | 119 | } catch (error) { 120 | console.error('保存数据时出错:', error); 121 | res.writeHead(500, { 122 | 'Content-Type': 'application/json', 123 | 'Access-Control-Allow-Origin': '*' 124 | }); 125 | res.end(JSON.stringify({ 126 | success: false, 127 | message: '保存数据失败: ' + error.message 128 | })); 129 | } 130 | }); 131 | } 132 | 133 | // 处理获取test-data目录文件列表的API 134 | function handleListTestData(req, res) { 135 | try { 136 | if (!fs.existsSync(TEST_DATA_DIR)) { 137 | res.writeHead(200, { 138 | 'Content-Type': 'application/json', 139 | 'Access-Control-Allow-Origin': '*' 140 | }); 141 | res.end(JSON.stringify({ files: [] })); 142 | return; 143 | } 144 | 145 | const files = fs.readdirSync(TEST_DATA_DIR) 146 | .filter(file => file.endsWith('.json')) 147 | .map(file => ({ 148 | name: file, 149 | path: `src/test-data/${file}`, 150 | size: fs.statSync(path.join(TEST_DATA_DIR, file)).size, 151 | modified: fs.statSync(path.join(TEST_DATA_DIR, file)).mtime 152 | })); 153 | 154 | res.writeHead(200, { 155 | 'Content-Type': 'application/json', 156 | 'Access-Control-Allow-Origin': '*' 157 | }); 158 | res.end(JSON.stringify({ files })); 159 | 160 | } catch (error) { 161 | console.error('获取文件列表时出错:', error); 162 | res.writeHead(500, { 163 | 'Content-Type': 'application/json', 164 | 'Access-Control-Allow-Origin': '*' 165 | }); 166 | res.end(JSON.stringify({ 167 | success: false, 168 | message: '获取文件列表失败: ' + error.message 169 | })); 170 | } 171 | } 172 | 173 | // 启动服务器 174 | server.listen(PORT, () => { 175 | console.log(`🚀 服务器已启动在 http://localhost:${PORT}`); 176 | console.log(`📄 访问 js-self-profiling 演示页面: http://localhost:${PORT}/js-self-profiling-demo.html`); 177 | console.log(`⚠️ 重要提示:`); 178 | console.log(` 1. 确保使用 Chrome 浏览器访问`); 179 | console.log(` 2. 服务器已设置 Document-Policy: js-profiling 响应头`); 180 | console.log(` 3. 如果API不可用，请检查Chrome版本是否支持js-self-profiling`); 181 | console.log(`\n按 Ctrl+C 停止服务器`); 182 | }); 183 | 184 | // 优雅关闭 185 | process.on('SIGINT', () => { 186 | console.log('\n🛑 正在关闭服务器...'); 187 | server.close(() => { 188 | console.log('✅ 服务器已关闭'); 189 | process.exit(0); 190 | }); 191 | }); -------------------------------------------------------------------------------- /src/core/flame-graph-adaptor/transformStackToFlameChart.ts: -------------------------------------------------------------------------------- 1 | /** 2 | * @author zhangmingyuan01 3 | * @description 将已经带着stack的samples们转化成火焰图的数据结构 4 | * 关键 -> stack的纵向结构转化为横向的数据结构 5 | */ 6 | 7 | import {getNumberWithToFixed} from '../../utils/samples'; 8 | import {IFlameGraphData, IFlameGraphDataRoot} from '../../types/flame-graph'; 9 | import {ISample, ISampleAfterTransformStack} from '../../types/js-self-profiling'; 10 | 11 | /** 12 | * @description 入口函数，主要做了两件事情 13 | * 1. 明确有持续函数调用的区间，分而治之（快慢指针） 14 | * 2. 将有持续函数调用的区间通过处理（回溯算法+快慢指针），将纵向的stack数据结构转化为横向的火焰图数据结构 15 | * @param samples 已经有stack数据结构的samples 16 | * @returns 返回横向的火焰图数据结构 17 | */ 18 | export function transformSamplesToFlameJsAdaptor(samples: ISample[]) { 19 | const n = samples.length; 20 | const duplicateSamples: ISampleAfterTransformStack[][] = []; 21 | 22 | // 1. 明确有持续函数调用的区间，分而治之（快慢指针） 23 | duplicateSamplesAction(0, n, samples, duplicateSamples); 24 | 25 | const ans: IFlameGraphDataRoot = { 26 | children: [], 27 | }; 28 | 29 | for (let i = 0; i < duplicateSamples.length; i++) { 30 | // 此部分区间的samples，我们需要单独进行组装 31 | const partialSamples = duplicateSamples[i]; 32 | const childrenData: IFlameGraphData = {}; 33 | handleChildrenOfEachLevel(0, partialSamples.length, partialSamples, childrenData, 0, samples); 34 | if (childrenData.children) { 35 | ans.children!.push(childrenData.children[0]); 36 | } 37 | } 38 | 39 | return ans; 40 | } 41 | 42 | /** 43 | * 44 | * @param slow 慢指针 45 | * @param n 总样本量 46 | * @param samples 待有stack的samples 47 | * @param ans 收集结果的数组 ISampleAfterTransformStack[][] 此数据结构的每个元素都具有stack 可以确定有调用栈持续 48 | * @param currentStackIndex 当前深度，由于我们只有对于函数是否存在的需求，所以只需要知道有没有stack就行，我们拿0即可（代表第一层） 49 | */ 50 | function duplicateSamplesAction(slow: number, n: number, 51 | samples: ISample[], ans: ISampleAfterTransformStack[][], currentStackIndex: number = 0) { 52 | while (slow < n) { 53 | // 获取当前慢指针所对应的stack 54 | const currentSample = samples[slow]; 55 | const currentStack = currentSample.stack; 56 | 57 | // 如果当前函数没有调用栈，那么不需要进行标记 58 | if (!currentStack) { 59 | slow++; 60 | continue; 61 | } 62 | 63 | // 获取当前stack的 currentStackIndex:深度 的函数名 64 | const currentStackName = currentStack[currentStackIndex].name; 65 | 66 | // 收集连续区间的数组 67 | const partialStack: ISampleAfterTransformStack[] = []; 68 | 69 | for (let fast = slow; fast < n; fast++) { 70 | // 获取快指针所对应的sample 71 | const currentTargetSample = samples[fast]; 72 | const {stack: currentTargetSampleStack} = currentTargetSample; 73 | 74 | /** 75 | * 如果快指针所对应的samples出现以下情况 76 | * 1. 没有stack了 77 | * 2. 函数名改变了（或者是其他指标改变了） 78 | * 反正可以证明当前函数终止 79 | * 那么此时说明，当前底层函数调用阻塞（火焰图的底层调用栈）结束 80 | * 1. 终止本次循环 81 | * 2. 把慢指针放到快指针的位置，如下同理 82 | */ 83 | if (!currentTargetSampleStack || 84 | currentTargetSampleStack[currentStackIndex].name !== currentStackName) { 85 | slow = fast; 86 | break; 87 | } 88 | 89 | // 如果可以走到这一步，那么可以证明当前这个区间是有函数执行区间的，所以可以用 ISampleAfterTransformStack 类型进行标识 90 | // 将当前栈和当前栈的对应信息放入当前区间 91 | partialStack.push(currentTargetSample as ISampleAfterTransformStack); 92 | 93 | // 此时fast快指针已经到了最后一个元素，查看是否可以通过下方检测 94 | if (fast === n - 1) { 95 | slow = fast; 96 | break; 97 | } 98 | } 99 | 100 | // 收集当前区间，并放入ans中，然后继续计算下一个区间 101 | ans.push(partialStack); 102 | slow++; 103 | } 104 | } 105 | 106 | /** 107 | * @description 核心函数：将有函数调用栈的samples区间转化为火焰图的数据结构 108 | * 首先进行本层遍历，直到出现函数名改变或者空调用栈，此时进行DFS收集数据 109 | * 随后收集至没有子调用栈了，回到本层继续遍历，继续手机 110 | * @param slow 慢指针 111 | * @param n 当前区间的总长度 112 | * @param samples 具有stack的所有samples 113 | * @param flameResultData 当前这一层的数据结构（最为最终数据结构的一个子数据结构） 114 | * @param depth 当前深度 115 | * @param allSamples 所有samples 116 | */ 117 | function handleChildrenOfEachLevel(slow: number, n: number, samples: ISampleAfterTransformStack[], 118 | flameResultData: IFlameGraphData, depth = 0, allSamples: ISample[] 119 | ) { 120 | while (slow < n) { 121 | // 此时慢指针对应的的sample一定有stack，但是stack数组的currentStackIndex深度中不保证有调用栈 122 | let currentSample = samples[slow]; 123 | let currentStack = currentSample.stack; 124 | 125 | // 如果currentStackIndex深度下没有调用栈了，那么推进慢指针，拦截处理 126 | if (!currentStack[depth]) { 127 | slow++; 128 | continue; 129 | } 130 | 131 | // 如果currentStackIndex深度下没有调用栈了，那么推进慢指针，拦截处理 132 | for (let fast = slow; fast < n; fast++) { 133 | // 推进当前快指针 134 | const currentTargetSample = samples[fast]; 135 | const currentTargetSampleStack = currentTargetSample.stack; 136 | // 如果j出现了空，那么进行dfs 137 | /** 138 | * 如果快指针所对应的samples出现以下情况 139 | * 1. 没有stack了 140 | * 2. 函数名改变了（或者是其他指标改变了） 141 | * 反正可以证明当前函数终止 142 | * 那么此时说明，当前底层函数调用阻塞（火焰图的底层调用栈）结束 143 | * 1. 终止本次循环 144 | * 2. 把慢指针放到快指针的位置，如下同理 145 | */ 146 | if (!currentTargetSampleStack[depth] 147 | || currentTargetSampleStack[depth].name !== currentSample.stack[depth].name) { 148 | 149 | // 记录当前区间的数据到最终数据结构里 150 | const currentFlameResultData = handleCurrentStackToFlameChildren( 151 | currentSample, 152 | samples[fast - 1], 153 | allSamples, 154 | depth, 155 | flameResultData 156 | ); 157 | 158 | // 递归继续处理子调用栈 159 | handleChildrenOfEachLevel(slow, fast, 160 | samples, currentFlameResultData, depth + 1, allSamples); 161 | 162 | // DFS的完后回到本层，需要保持本层的状态，因此需要将慢指针继续推进至有调用栈，如下 163 | slow = fast; 164 | while (slow < n && !samples[slow].stack[depth]) { 165 | slow++; 166 | } 167 | 168 | currentSample = samples[slow] || {}; 169 | currentStack = currentSample.stack || []; 170 | fast = slow; 171 | continue; 172 | } 173 | 174 | if (fast === n - 1) { 175 | // 此时j已经到了最后一个元素，仍然可以通过上方监测 176 | // 记录当前区间的数据到最终数据结构里 177 | const currentFlameResultData = handleCurrentStackToFlameChildren( 178 | currentSample, 179 | samples[fast], 180 | allSamples, 181 | depth, 182 | flameResultData 183 | ); 184 | 185 | // 递归继续处理子调用栈 186 | handleChildrenOfEachLevel(slow, fast + 1, 187 | samples, currentFlameResultData, depth + 1, allSamples); 188 | 189 | slow = fast; 190 | continue; 191 | } 192 | } 193 | 194 | slow++; 195 | } 196 | } 197 | 198 | /** 199 | * @description 用于计算相对时间（t2-t1），封装当前调用栈信息，放入flameResultData容器中，作为children(子火焰图) 200 | * @param startSample 起始sample 201 | * @param endSample 结束sample 202 | * @param allSamples 所有samples 203 | * @param depth 当前深度 204 | * @param flameResultData 本层火焰图数据结构容器 205 | * @returns 206 | */ 207 | function handleCurrentStackToFlameChildren( 208 | startSample: ISampleAfterTransformStack, 209 | endSample: ISampleAfterTransformStack, 210 | allSamples: ISample[], 211 | depth: number, 212 | flameResultData: IFlameGraphData 213 | ) { 214 | 215 | flameResultData.children = flameResultData.children || []; 216 | // 获取前后时间戳 217 | const {timestamp: startTime} = startSample; 218 | const {timestamp: endTime} = allSamples[endSample.index + 1]; 219 | const diffTime = getNumberWithToFixed(endTime - startTime); 220 | 221 | // 获取当前stack的深度中，到底函数的信息 222 | const currentFunctionInfo = startSample.stack[depth]; 223 | const {name} = currentFunctionInfo; 224 | 225 | const remarkData = { 226 | name, 227 | info: currentFunctionInfo, 228 | type: name, 229 | start: startTime, 230 | duration: diffTime, 231 | children: [], 232 | }; 233 | flameResultData.children.push(remarkData); 234 | 235 | return remarkData; 236 | } 237 | -------------------------------------------------------------------------------- /js-self-profiling-demo.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | JS Self Profiling Demo 8 | 141 | 142 | 143 | 144 |
145 |

JS Self Profiling 性能分析工具

146 | 147 |
148 | 状态: 准备就绪 - 点击"开始分析"按钮开始性能分析 149 |
150 | 151 |
152 | 153 | 154 | 155 | 156 |
157 | 158 |
159 |

模拟工作负载

160 |

在分析期间，您可以执行以下操作来生成性能数据：

161 |
    162 |
  • 点击"执行计算任务"按钮
    • 163 |
  • 在页面上进行交互
    • 164 |
  • 滚动页面
    • 165 |
166 | 167 |
168 |
169 |
170 |
171 | 172 |
173 |

分析结果

174 |
等待开始分析...
175 |
176 |
177 | 178 | 423 | 424 | 425 | -------------------------------------------------------------------------------- /src/test-data/pauseFunc.json: -------------------------------------------------------------------------------- 1 | { 2 | "frames": [ 3 | { 4 | "column": 24, 5 | "line": 14, 6 | "name": "init", 7 | "resourceId": 0 8 | }, 9 | { 10 | "column": 11, 11 | "line": 11, 12 | "name": "", 13 | "resourceId": 0 14 | }, 15 | { 16 | "column": 14, 17 | "line": 3287, 18 | "name": "LRUCache", 19 | "resourceId": 1 20 | }, 21 | { 22 | "column": 16, 23 | "line": 1906, 24 | "name": "3", 25 | "resourceId": 1 26 | }, 27 | { 28 | "column": 39, 29 | "line": 6, 30 | "name": "__webpack_require__", 31 | "resourceId": 1 32 | }, 33 | { 34 | "column": 16, 35 | "line": 498, 36 | "name": "12", 37 | "resourceId": 1 38 | }, 39 | { 40 | "column": 16, 41 | "line": 11322, 42 | "name": "9", 43 | "resourceId": 1 44 | }, 45 | { 46 | "column": 37, 47 | "line": 2837, 48 | "name": "", 49 | "resourceId": 1 50 | }, 51 | { 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