Performance Audits with Lighthouse CI & GitHub Actions
Tags: javascript, webdev, performance, tutorial
Published: 2023-06-05 09:03:23

Performance is an area in software development that is important no matter what application you are building. Delivering a great experience to users is crucial for having a great software product, and performance is one of the key values of it.

If you are interested into learning more about what you can do to improve performance of your website, check out my other article [here](https://dev.to/jacobandrewsky/frontend-web-performance-checklist-2o9j) which is in a form of a useful checklist.

These recommendations should increase the performance of your application but to make sure that these any other future site features will improve the performance you have to constantly measure it. 

## Lighthouse

You will need to install and authorise the Lighthouse CI application for Github. Make sure to copy the generated `LHCI_GITHUB_APP_TOKEN` as we will need it later.
https://github.com/apps/lighthouse-ci

![Github Lighthouse authorisation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/enxlpscmximvrg0fz2ql.png)

After authorisation you should see a page like this:

![Github Lighthouse authorisation with token](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/s6twr15cw8ldnxy73yph.png)
 
Install @lhci/cli package

```
yarn add -D @lhci/cli
```

Add Lighthouse CI commands to your package.json (for CI and local testing)

```json
// package.json

...
  "scripts": {
    ...
    "lhci:mobile": "lhci autorun",
    "lhci:desktop": "lhci autorun --collect.settings.preset=desktop"
  },
```

Create `lighthouserc.json` with configuration for Lighthouse CI

```json
// lighthouserc.json

{
  "ci": {
    "collect": {
      "startServerCommand": "yarn build && yarn start",
      "url": ["http://localhost:3000/"],
      "numberOfRuns": 3
    },
    "upload": {
      "target": "temporary-public-storage"
    }
  }
}
```

Let's stop for a second here to explain how we are configuring the lighthouse to conduct audits.

collect:
* `startServerCommand` - a command that we want Lighthouse 
to use in order to start testing.
* `url` - An url address that we want Lighthouse to 
conduct audits on. For the sake of this tutorial we will 
be using `http://localhost:3000/` to test just the 
homepage but you can also setup other routes here like 
`http://localhost:3000/categories`
* `numberOfRuns` - A number that defines how many times 
Lighthouse should test the selected url and create a 
median out of these results.

upload:
* `target` - where do we want to upload the result of our 
Lighthouse audit report. By default is set to `temporary- 
public-storage`

Test if the Lighthouse audit is working as expected
```bash
yarn lhci:desktop
```

The command should log following result:

![Lighthouse result](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/afzihh9b0wmnz8fup3tt.png)

And when we visit the link that was created by Lighthouse in the terminal we should see something like this:

![Lighthouse report](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/h7ta70t7l755hpaq23xk.png)
 
Well done! Now you have successfully conducted Lighthouse audit locally. As our final step, we will create a Github workflow to run Lighthouse CI on every pull request to `main` branch.

```yml
name: CI
on:
  pull_request:
    branches:
      - main
jobs:
  lighthouse:
    name: Lighthouse CI
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
        with:
          ref: ${{ github.event.pull_request.head.sha }}

      - name: Install dependencies
        run: yarn

      - name: lighthouse mobile audit
        run: yarn lhci:mobile
        env:
          LHCI_GITHUB_APP_TOKEN: ${{ secrets.LHCI_GITHUB_APP_TOKEN }}

      - name: lighthouse desktop audit
        run: yarn lhci:desktop
        env:
          LHCI_GITHUB_APP_TOKEN: ${{ secrets.LHCI_GITHUB_APP_TOKEN }}
```

Now, whenever we create a pull request to `main` branch with this workflow implemented we will automatically trigger a Github Action that will be conducting Lighthouse audits.

Remember the step about authorising Lighthouse application for Github? If you do not have a secret in your repository you would still be able to trigger Github Action but you will not get a nice looking status check from Lighthouse with all metrics. No worries, you would still be able to see the report but you would have to go to the details of the action and go to the link directly.

![Lighthouse Github Action](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/g1lvze0lvsuxhvgfdfbg.png)
 
When we add a token in repository settings it should be visible like this:

![Github secrets for Lighthouse](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9wzqoquaf45sa6ogpelz.png)

To confirm that we did all steps correctly we should see a status report from Lighthouse directly in the pull Github Actions output of a pull request

![Lighthouse Github report status](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7s3b3wkv4fwibed8o6ge.png)
 
** Keep in mind that the status report from Lighthouse application for Github will provide only one status report even though we have done two tests (for desktop and mobile devices) so you would have to check the second report manually. If you have found a way to display multiple status reports please let me know in the comments and I will update the article accordingly :)

## Summary

You have successfully implemented Lighthouse CI auditing that can be triggered both locally and as a Github Action.  

This approach would suit most of the cases however to achieve more accurate performance audits you should be conducting Lighthouse tests on a dedicated server to avoid results being affected by the machine capabilities. In other words, if you are running Lighthouse audits on a repository where there are several pull requests/workflows/pushes going on, the result of this audit may not be accurate and this is what we want to avoid. For that you would need a separate machine with [Lighthouse Server](https://github.com/GoogleChrome/lighthouse-ci/blob/main/docs/server.md) installed on it. So on a pull request you would trigger this machine to conduct a performance audit and return response to your repository.
 

## Bonus: Using Github Action instead of npm package

Instead of using npm package you could use a Github Action that would esentially do the same thing but wi. The downside to that approach is that you won't be able to test your project locally with lighthouse (unless you are using local github actions package like https://github.com/nektos/act)

```yml
name: CI
on: 
  pull_request:
    branches:
      - main
jobs:
  lighthouse:
    runs-on: ubuntu-latest
    needs: deploy
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
        with:
          ref: ${{ github.event.pull_request.head.sha }}

      - name: Install dependencies
        run: yarn

      - name: Build and start the project
        run: yarn build && yarn start

      - uses: actions/checkout@v2
      - name: Audit URLs using Lighthouse
        uses: treosh/lighthouse-ci-action@v7
        with:
          urls: http://localhost:3000
          uploadArtifacts: true # save results as an action artifacts
          temporaryPublicStorage: true # upload lighthouse audits to google temporary storage
```