jest-extended VS lighthouse-ci

I recently came across a workaround for this issue by using the expect.toBeOneOf() matcher from the jest-extended library. This matcher allows you to check whether a value matches one of the expected values, including null and undefined.

Yes, a standardized expect would be nice, but care has to be taken to not bloat it.

Currently I use vitest and https://github.com/jest-community/jest-extended which gets you a reasonable amount of usable matchers.

Jest-Extended: Additional Jest matchers

- referred to https://github.com/GoogleChrome/lighthouse/issues/6512 but didnt see network.disable error - added staticdistdir as per https://github.com/GoogleChrome/lighthouse-ci/blob/main/docs/configuration.md,

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 installed on it. So on a pull request you would trigger this machine to conduct a performance audit and return response to your repository.

And finally, Lighthouse has a CI version you can run in your continuous integration. We’ll use this method to schedule periodical benchmarks.

TLDR; I use the Google Chrome Lighthouse CI with a .lighthouserc json configuration to test next start. The Lighthouse CI GitHub app is used to return a pass or fail status check in a PR.

You should also incorporate performance checks into your CI/CD pipeline. Use Lighthouse CI to run a synthetic Lighthouse test on each PR (PS: Learn why you shouldn't believe the Lighthouse score alone) and bundlesize package to raise alerts if your bundle size exceeds a certain threshold. For more nuanced data you should use WebPageTest.

You can also run Google’s Lighthouse CI tool against multiple URLs, and then hook that up to their self-hosted dashboard service: https://github.com/GoogleChrome/lighthouse-ci

You can also set up lighthouse-ci as a github action to evaluate the web vitals on push or in pull requests.

You can have more consistent results if you set up Lighthouse CI in an external environment to test your page or use tools like SpeedCurve, but if you need to quickly inspect a website, I suggest taking a look at Page Speed Insights.

This name is already self-explanatory, and developers just need to run Lighthouse or its CI.

They also have a powerful CI tool (https://github.com/GoogleChrome/lighthouse-ci) with custom timelines, may look to implement it at some point