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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallGitHub Actions mein BackstopJS chalane ke liye repository mein .github/workflows/backstop.yml workflow banayein. Workflow ko pull request ya push par trigger karein, Node.js set up karein, lockfile ke mutabik dependencies install karein, phir backstop test chalayein. BackstopJS config mein kam-se-kam ek viewport aur ek valid scenario hona chahiye. HTML report, CI report aur test screenshots ko artifacts ke roop mein upload karein, taaki failure ke baad unka review ho sake.
GitHub Actions workflow banayein
Yeh workflow ek starting pattern hai, tested ya har repository ke liye ready-made configuration nahi. Node.js version ko apne project ke supported version se milayein, aur npm run backstop:test ko apne package.json script ke mutabik rakhein.
name: Visual regression
on:
pull_request:
push:
branches: [main]
permissions:
contents: read
jobs:
backstop:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: actions/setup-node@v7
with:
# Apne project ke supported Node version se milayein.
node-version: '22'
cache: npm
- run: npm ci
- run: npm run backstop:test
- name: Upload BackstopJS output
if: always()
uses: actions/upload-artifact@v4
with:
name: backstop-output
path: |
backstop_data/html_report
backstop_data/ci_report
backstop_data/bitmaps_test
if-no-files-found: ignoreGitHub Actions workflow YAML files .github/workflows mein rakhi jaati hain. Upar diye action versions ko apnane se pehle GitHub ki current action documentation aur apne project ki Node.js compatibility verify karein. Agar backstop:test script maujood nahi hai, to local binary seedhe chala sakte hain: ./node_modules/.bin/backstop test.
Dependencies lockfile se install karein
npm ci tab istemal karein jab repository mein compatible package-lock.json ho. Isse CI lockfile mein darj dependencies install karta hai. BackstopJS ko project dependency ke roop mein pin karne se workflow global latest install par nirbhar nahi rahega aur local development aur CI ke versions ko ek jaisa rakhna aasaan hoga.
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Misal ke taur par, package.json mein script yeh ho sakti hai:
{
"scripts": {
"backstop:test": "backstop test"
}
}BackstopJS config taiyar karein
Agar project mein config nahi hai, local environment mein backstop init chalayein aur banayi gayi files ko review karein. Init scaffolding banata hai aur maujooda files overwrite kar sakta hai, isliye ise existing repository root par bina jaanch ke na chalayein. Default config file backstop.json hai; alternate JSON ya JavaScript config dene ke liye --config use kiya ja sakta hai.
Config mein viewports aur scenarios arrays honi chahiye. Har scenario ko label aur url chahiye. URL us page ya test environment par point kare jise CI runner access kar sakta ho. Agar workflow ko pehle local app build aur start karni hai, to BackstopJS command se pehle apne framework ke hisab se app-start step aur server-ready hone ka intezar jodein; uska exact command project ke scripts par nirbhar karega.
Teen mukhya commands ka kaam
backstop initconfig aur scaffolding taiyar karta hai.backstop testnayi screenshots banakar unki reference screenshots se tulna karta hai.backstop approvehaal ki test captures ko reference set mein promote karta hai, jise aage ke tests baseline banate hain.
Normal pull-request workflow mein automatic taur par test chalayein, approve nahi. Approve karne se comparison baseline badal jaata hai; visual diff review karne ke baad reviewer ya maintainer ko hi use chalana chahiye.
Reports aur screenshots ko artifacts mein rakhein
BackstopJS config mein report: ["CI"] se CI/JUnit report enable ki ja sakti hai. Browser report chahiye to report mein browser bhi shamil karein. Report locations ko config ke paths section se aur CI report filename ko ci.testReportFileName se apne repository layout ke mutabik set karein.
Workflow ke artifact step mein HTML report, CI report aur test bitmap directories shamil karein. if: always() ka uddeshya test failure ke baad bhi output upload karne ki koshish karna hai. Artifact action ka behavior aur apne istemal kiye gaye version ke niyam current GitHub documentation mein check karein. Agar files bani hi nahi hain, if-no-files-found: ignore upload step ko unki gair-maujoodgi par fail hone se rokta hai.
Rendering ko consistent rakhein
BackstopJS Puppeteer ko default engine ke roop mein batata hai aur Playwright support bhi document karta hai. Playwright use karne par config mein engine aur usse sambandhit scripts/options ko bhi sahi tarah badlein. Project Docker rendering ko alag environments ke beech rendering variation ghatane ke ek tareeqe ke roop mein document karta hai.
Agar CI mein unexpected visual diff dikhe, test aur reference capture ke setup ko compare karein: browser engine, viewport dimensions, fonts aur test data/state. Docker mode par tab vichar karein jab local aur CI renderer ke beech fark ho. Docker mein localhost kis machine ko refer karta hai, yeh badal sakta hai; container se host app tak pahunchne ke liye BackstopJS ke Docker notes ke mutabik host address set karna pad sakta hai.
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Pull request security aur permissions
Aam taur par pull_request sahi trigger hai jab workflow PR code ko test karta hai aur use secrets ki zaroorat nahi. Workflow mein permissions ko sirf zaroori adhikar tak seemit karein. Jaise, contents: read repository checkout ke liye read access deta hai; jab permissions mein kuch permissions set ki jaati hain, to baaki unspecified permissions none hoti hain.
pull_request_target ko bina security review ke substitute na karein. Is event ka privileged context secrets ya adhik permissions de sakta hai. GitHub ki guidance ke mutabik, untrusted PR code ko aise context mein checkout, build ya run karna khatarnak hai. Backstop job project code aur dependencies execute karti hai, isliye fork PRs ke liye bhi least-privilege design rakhein.
Troubleshooting: aam failures aur unke hal
- Command nahi milta: Agar
backstopcommand resolve nahi hoti, dependency install hui hai ya nahi dekhein. Local package ke liye./node_modules/.bin/backstop testchalayein yapackage.jsonscript ko verify karein. - npm ci ruk jaata hai: Repository mein
package-lock.jsonhona aur manifest se compatible hona chahiye. Lockfile update karke commit karein; CI mein ise nazarandaz karke alag dependency versions install na karein. - Page load nahi hota: Scenario URL runner se accessible hai ya nahi jaanchein. Agar app workflow ke andar chalti hai, BackstopJS se pehle server start karein aur test shuru karne se pehle uske ready hone ka intezar karein.
- Config ya scenario error: Config file ka path,
viewportsarray, aur har scenario kelabelaururlko check karein. Alternate config use kar rahe hon to command mein sahi--configpath dein. - Artifact upload mein files nahi: BackstopJS output paths aur config ke report paths ko artifact step ke paths se milayein. Test failure se pehle output generate hua tha ya nahi, run logs mein dekhein.
- Har run mein be-wajah diff: Browser engine, viewport, fonts, application state aur test data ko reference banane wale environment se milayein. Local aur CI rendering mein sthayi antar ho to Docker-based rendering par vichar karein.
- Docker mein app tak pahunch nahi: Container ke andar
localhostcontainer ko hi dikhata ho sakta hai, host machine ko nahi. BackstopJS Docker configuration ke mutabik host ka reachable address istemal karein.
Or skip the browser setup
BackstopJS local browser captures ko approved reference images se compare karta hai; ScreenshotNeo ek website screenshot API hai, isliye yeh us visual-regression comparison ya approval baseline ka badal nahi hai. Agar aapko sirf kisi URL ka screenshot chahiye, ek GET request se image le sakte hain. ScreenshotNeo API documentation mein options dekhein.
Quick Recap
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpScreenshotNeo capture se pehle cookie/consent banners accept karta hai aur 60 se zyada pehchane gaye consent platforms, newsletter popups aur chat widgets hata sakta hai; in steps ko alag-alag band bhi kiya ja sakta hai. Bot checks/CAPTCHAs, blank pages, timeouts, failed loads aur cache hits ke liye charge nahi hota, aur response X-Page-Verdict aur X-Billed headers mein result batata hai. Iska MCP server AI agents ko screenshot lene ke tools deta hai. Free plan mein bina card ke 1,000 screenshots mahina shamil hain; paid plans $5 mein 3,000 screenshots se shuru hote hain. ScreenshotNeo ke baare mein jaaniye ya free sign up karein.
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