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This article mainly introduces you to the relevant information about implementing a pixel comparison service based on casperjs and resemble.js. The article introduces it in detail through the example code. It has certain reference learning value for everyone's study or work. It needs Friends, come and study together.
Preface
This time I share a node service that provides pixel comparison between the design draft and the front-end page, aiming to provide testing or The front-end personnel complete an auxiliary test themselves. Believe me, under the comparison at the pixel level, the degree of restoration of the design draft on the web page will immediately become apparent. Not much to say below, let’s take a look at the detailed introduction.
Effect preview
## Pre-knowledge
the whole idea
From the picture above, we should be able to sort out a rough process:
Implementation details
const MIME_TYPE = { "css": "text/css", "gif": "image/gif", "html": "text/html", "ico": "image/x-icon", "jpeg": "image/jpeg", "jpg": "image/jpg", "js": "text/javascript", "json": "application/json", "pdf": "application/pdf", "png": "image/png", "svg": "image/svg+xml", "swf": "application/x-shockwave-flash", "tiff": "image/tiff", "txt": "text/plain", "wav": "audio/x-wav", "wma": "audio/x-ms-wma", "wmv": "video/x-ms-wmv", "xml": "text/xml" } function sendFile(filePath, res) { fs.open(filePath, 'r+', function(err){ //根据路径打开文件 if(err){ send404(res) }else{ let ext = path.extname(filePath) ext = ext ? ext.slice(1) : 'unknown' let contentType = MIME_TYPE[ext] || "text/plain" //匹配文件类型 fs.readFile(filePath,function(err,data){ if(err){ send500(res) }else{ res.writeHead(200,{'content-type':contentType}) res.end(data) } }) } }) }Parse the form and store the pictures into the images folder
const multiparty = require('multiparty') //解析表单 let form = new multiparty.Form() form.parse(req, function (err, fields, files) { let filename = files['file'][0].originalFilename, targetPath = __dirname + '/images/' + filename, if(filename){ fs.createReadStream(files['file'][0].path).pipe(fs.createWriteStream(targetPath)) ... } })The uploaded image can be saved by creating a readable stream to read the file content, and then writing it to the specified path through pipe.
Run casperjs
const { spawn } = require('child_process') spawn('casperjs', ['casper.js', filename, captureUrl, selector, id]) casperjs.stdout.on('data', (data) => { ... })You can create a child process through spawn to start casperjs, you can also use exec etc.
Take a screenshot and submit the data to form.html
const system = require('system') const host = 'http://10.2.45.110:3033' const casper = require('casper').create({ // 浏览器窗口大小 viewportSize: { width: 1920, height: 4080 } }) const fileName = decodeURIComponent(system.args[4]) const url = decodeURIComponent(system.args[5]) const selector = decodeURIComponent(system.args[6]) const id = decodeURIComponent(system.args[7]) const time = new Date().getTime() casper.start(url) casper.then(function() { console.log('正在截图请稍后') this.captureSelector('./images/casper'+ id + time +'.png', selector) }) casper.then(function() { casper.start(host + '/form.html', function() { this.fill('form#contact-form', { 'diff': './images/casper'+ id + time +'.png', 'point': './images/' + fileName, 'id': id }, true) }) }) casper.run()The code is relatively simple, the main process Just open a page, then pass your operation in then, and finally execute run. During this process, I didn't quite know how to communicate with the node service, so I chose to open another page. . If you want to study in depth, you can check out the official website of casperjs which is very detailed!
Perform pixel comparison and return data through resemble.js
function complete(data) { let imgName = 'diff'+ new Date().getTime() +'.png', imgUrl, analysisTime = data.analysisTime, misMatchPercentage = data.misMatchPercentage, resultUrl = './images/' + imgName fs.writeFileSync(resultUrl, data.getBuffer()) imgObj = { ... } let resEnd = resObj[id] // 找回最开始的res返回给页面数据 resEnd.writeHead(200, {'Content-type':'application/json'}) resEnd.end(JSON.stringify(imgObj)) } let result = resemble(diff).compareTo(point).ignoreColors().onComplete(complete)
这其中涉及到了一个点,即我现在所得到的结果要返回给最初的请求里,而从一开始的请求到现在我已经中转了多次,导致我现在找不到我最初的返回体res了。想了很久只能暂时采用了设定全局对象,在接收最初的请求后将请求者的ip和时间戳设定为唯一id存为该对象的key,value为当前的res。同时整个中转流程中时刻传递id,最后通过调用resObj[id]来得到一开始的返回体,返回数据。这个方法我不认为是最优解,但是鉴于我现在想不出来好方法为了跑通整个服务不得已。。如果有新的思路请务必告知!!
部署
安装PhantomJS(osx)
官网下载: phantomjs-2.1.1-macosx.zip
解压路径:/User/xxx/phantomjs-2.1.1-macosx
添加环境变量:~/.bash_profile 文件中添加
export PATH="$PATH:/Users/xxx/phantomjs-2.1.1-macosx/bin"
terminal输入:phantomjs --version
能看到版本号即安装成功
安装casperjs
brew update && brew install casperjs
安装resemble.js
cnpm i resemblejs //已写进packjson可不用安装 brew install pkg-config cairo libpng jpeg giflib cnpm i canvas //node内运行canvas
node服务
git clone https://github.com/Aaaaaaaty/gui-auto-test.git cd gui-auto-test cnpm i cd pxdiff nodemon server.js
打开http://localhost:3033/index.html
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