دمج Lighthouse في CI/CD
أتم فحوصات Lighthouse ضمن مسارات التكامل والنشر المستمرين لاكتشاف تراجعات الأداء مبكرًا
دمج Lighthouse في CI/CD درس مجاني في Web Performance Optimization & Lighthouse على CoddyKit. هذا هو الدرس 3 من أصل 4. يمكنك قراءة الدرس كاملاً أدناه مجاناً — ثم تمرن عليه مباشرة في المتصفح باستخدام محرر أكواد مدمج ومدرس ذكاء اصطناعي متاح 24/7. هذا الدرس جزء من مسار التعلم في Web Performance Optimization & Lighthouse، وتقدمك يتزامن عبر الويب وتطبيق CoddyKit. تتضمن دورة Web Performance Optimization & Lighthouse 4 دروس في المجموع.
بعض أجزاء هذا الدرس لم تُترجم بعد وتظهر باللغة الإنجليزية.
What is CI/CD?
CI/CD stands for Continuous Integration and Continuous Delivery/Deployment. It's a modern approach to software development that focuses on automating various stages of the software lifecycle.
- Continuous Integration (CI): Developers frequently merge code into a central repository. Automated builds and tests run to detect issues early.
- Continuous Delivery (CD): After CI, code is automatically prepared for release, ensuring it's always in a deployable state.
- Continuous Deployment (CD): Takes CD a step further by automatically deploying every change to production, provided all tests pass.
CI/CD helps teams deliver updates faster and more reliably.
Why CI/CD for Performance?
Integrating performance checks into your CI/CD pipeline is crucial for maintaining a fast website. Here's why:
- Catch Regressions Early: Automatically detect performance drops with every code change, before they reach users.
- Consistent Feedback: Get objective performance scores on every build, ensuring teams stay aware of their impact.
- Enforce Standards: Use performance budgets to fail builds if metrics fall below acceptable thresholds.
- Save Time: Automate manual auditing, freeing up developer time.
Meet Lighthouse CI (LHCI)
While you can run Lighthouse manually, Lighthouse CI (LHCI) is a dedicated tool designed to make automated performance auditing in CI/CD pipelines easy and effective.
LHCI provides a set of tools to:
- Collect Lighthouse reports across different branches and commits.
- Assert performance budgets against these reports.
- Display historical performance data.
- Integrate with various CI providers like GitHub Actions, GitLab CI, and Jenkins.
LHCI: Collect & Assert
LHCI works through a command-line interface (CLI). You'll typically use two main commands:
lhci collect: Runs Lighthouse audits on specified URLs and collects the results.lhci assert: Checks the collected results against predefined performance budgets and rules.
First, you usually install it globally or as a dev dependency:
npm install -g @lhci/cliConfiguring LHCI
LHCI uses a configuration file, often named lighthouserc.js or lighthouserc.json, to define how it should run. This file lives at the root of your project.
Here's a basic structure for lighthouserc.js, specifying where to run audits:
module.exports = {
ci: {
collect: {
url: ['http://localhost:3000'],
startServerCommand: 'npm run start',
numberOfRuns: 3,
},
upload: {
target: 'temporary-public-storage',
},
},
};Enforcing Performance Budgets
A key feature of LHCI is enforcing performance budgets. These are thresholds for metrics (like score, total byte weight, or largest contentful paint) that your site must meet.
You define budgets in the assert section of your lighthouserc.js. If any budget is violated, LHCI can fail your CI build.
module.exports = {
ci: {
collect: { /* ... */ },
assert: {
assertions: {
'performance-score': ['error', { minScore: 0.90 }],
'first-contentful-paint': ['error', { maxNumericValue: 1500 }],
'total-byte-weight': ['warn', { maxNumericValue: 1000000 }], // 1MB
},
},
upload: { /* ... */ },
},
};LHCI with GitHub Actions
GitHub Actions is a popular CI/CD platform integrated directly into GitHub repositories. You can easily add LHCI to your GitHub Actions workflow.
You'll create a YAML file (e.g., .github/workflows/lighthouse.yml) that defines the steps to run LHCI when certain events occur, like a pull request or a push to the main branch.
This allows automated checks before merging code.
GitHub Actions Workflow Example
Here's a simplified GitHub Actions workflow that sets up Node.js, installs LHCI, starts a server (if needed), collects audits, and asserts against budgets.
This workflow runs on every pull request to the main branch.
name: Lighthouse CI
on: [pull_request]
jobs:
lighthouse:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@v3
with:
node-version: 18
- name: Install dependencies
run: npm ci
- name: Run Lighthouse CI
run: npm install -g @lhci/cli && lhci collect && lhci assertReviewing CI/CD Results
After LHCI runs in your CI/CD pipeline, it provides output directly in the build log. If budgets are set, the build will pass or fail accordingly.
- Passed: All performance budgets and assertions were met.
- Failed: One or more budgets were exceeded, indicating a performance regression.
For more detailed historical data and trend analysis, you can configure LHCI to upload reports to an LHCI server (either self-hosted or a cloud service).
Quick Check
You've learned how Lighthouse CI helps automate performance checks. Which of the following are key benefits of integrating Lighthouse CI into your CI/CD pipeline?
Recap & Next Steps
Great job! In this lesson, we explored how to integrate Lighthouse into your CI/CD pipeline.
- We understood the importance of automating performance checks to prevent regressions.
- We learned about Lighthouse CI (LHCI) and its role in collecting audits and asserting budgets.
- We saw examples of configuring LHCI and integrating it with GitHub Actions.
By automating performance, you ensure your web projects remain fast and user-friendly over time. Keep exploring how to fine-tune your CI/CD setup for optimal results!
الأسئلة الشائعة
هل درس «دمج Lighthouse في CI/CD» مجاني؟
نعم — نص درس «دمج Lighthouse في CI/CD» كامل متاح مجاناً هنا على الويب. لتمرينه بشكل تفاعلي (محرر أكواد مدمج ومدرس ذكاء اصطناعي متاح 24/7) وفتح باقي دورة Web Performance Optimization & Lighthouse، انتقل إلى CoddyKit PRO. تتضمن دورة Web Performance Optimization & Lighthouse 4 دروس في المجموع.
ماذا ستتعلم في «دمج Lighthouse في CI/CD»؟
أتم فحوصات Lighthouse ضمن مسارات التكامل والنشر المستمرين لاكتشاف تراجعات الأداء مبكرًا تتمرن على Web Performance Optimization & Lighthouse مع أكواد عملية تشغلها مباشرة في المتصفح، ومدرس ذكاء اصطناعي متاح 24/7 يجيب على أسئلتك أثناء عملك.
هل أحتاج إلى خبرة سابقة لأبدأ Web Performance Optimization & Lighthouse؟
لا تُشترط خبرة سابقة. Web Performance Optimization & Lighthouse على CoddyKit منظم للمبتدئين حتى المتقدمين، لذا يمكنك البدء من هنا أو من البداية والتقدم بسرعتك الخاصة. هذا هو الدرس 3 من أصل 4.
كم من الوقت يستغرق درس «دمج Lighthouse في CI/CD»؟
معظم دروس CoddyKit تستغرق حوالي 5–10 دقائق. كل منها موجز وتفاعلي، لذا تحرز تقدماً مستمراً وتستأنف من حيث توقفت عبر الويب والتطبيق.
هل يمكنني كتابة وتشغيل أكواد في درس Web Performance Optimization & Lighthouse هذا؟
نعم. كل درس في Web Performance Optimization & Lighthouse يتضمن محرر أكواد مدمج، لذا تكتب وتشغل أكواداً حقيقية مباشرة في متصفحك وتحصل على تعليقات فورية من الذكاء الاصطناعي — بدون إعداد محلي.
جميع الدروس في هذه الدورة
- Lighthouse عبر CLI وبرمجيًا
- عمليات التدقيق والتأكيدات المخصّصة
- دمج Lighthouse في CI/CD
- ميزانيات الأداء باستخدام Lighthouse