Playwright Can Do This?

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Guaranteeing that your application doesn't break while constantly shipping new features is tough. Obviously, with a continually growing app or site, you can't test everything manually all the time!

Test automation and monitoring are crucial to avoiding shipping broken apps and sites. But what functionality should you test? When should you run your tests? And aren't complex test suites super slow?

In this session, we'll get our hands on Playwright, the end-to-end testing framework, and learn how to automate headless browsers to ensure that you confidently ship new features.

FAQ

Playwright is a comprehensive testing solution that supports all major browsers like Chromium, WebKit, and Gecko Firefox, and runs on different operating systems such as Mac, Windows, and Linux. It enables writing tests primarily in JavaScript and TypeScript, and also supports .NET, Python, and Java. Key features include auto-waiting, web-first assertions, parallel test execution, and integration with VS Code through a dedicated extension.

Playwright enhances test efficiency by enabling parallelization of tests, which significantly reduces the waiting time traditionally required in end-to-end testing. It also incorporates features like auto-waiting and web-first assertions, which streamline the testing process by eliminating the need for manual delays and arbitrary waits.

Yes, Playwright supports visual regression testing by allowing testers to take screenshots of specific components and compare these screenshots over time. This functionality is built into the framework and can be utilized with minimal code, making it easy to detect and track changes in visual elements of a web application.

The VS Code extension for Playwright enhances productivity by allowing developers to create, debug, and run Playwright tests directly within the VS Code editor. This integration provides a seamless experience for developers, making it easier to manage and execute tests without leaving the development environment.

Playwright handles asynchronous testing scenarios by incorporating built-in waiting mechanisms that automatically manage the timing of test steps. This feature ensures that tests proceed only when web elements are ready, thereby avoiding issues related to timing and synchronization in tests.

Stefan Jueris recommends using short, idempotent scripts for testing, which should be designed to clean up after themselves to allow for repeated execution. He also suggests pairing end-to-end tests with low-level API calls for resource cleanup, and emphasizes the importance of treating UI components with the same rigor as APIs for reliable uptime statistics.

 Stefan Judis
Stefan Judis
23 min
03 Nov, 2022

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Video Summary and Transcription

Playwright is a powerful tool for end-to-end testing, offering support for all major browsers and platforms. It provides features like parallelization, built-in waiting, and assertions. Playwright allows for running tests on multiple browsers with a single command and has functionality for generating tests and performing visual regression testing. It also enables the manipulation of the network layer and loading internals of web pages. Best practices include using short and idempotent scripts, splitting user account flows into separate tests, and cleaning up after each test case.

Available in Español: ¿Playwright puede hacer esto?

1. Introduction to Playwright and End-to-End Testing

Short description:

Hello, TestJS Summit. It's time for another Playwright session. Playwright can do this. I'm Stefan from Berlin, Germany, even though I'm in Greece right now. I do front-end development, JavaScript development, for quite a little bit. And I work for a company that is called checkly, and we do API and end-to-end monitoring in the cloud.

Hello, TestJS Summit. It's time for another Playwright session. Playwright can do this.

And before we get started, let me quickly introduce myself. I'm Stefan from Berlin, Germany, even though I'm in Greece right now. I do front-end development, JavaScript development, for quite a little bit. And I work for a company that is called checkly, and we do API and end-to-end monitoring in the cloud. So if you want to maybe control and run Playwright on a schedule, in the cloud, to make sure that all your products are up and running at all times, you can have a look at checkly. And I'm sure you will find that interesting.

And let me tell you that I started testing over 10 years ago, and these were the technologies, the technology choices that I started playing around with. So my first UI and end-to-end test were written in Selenium. And then at some point, Phantom JS showed up, this new fancy JavaScript-driven framework or library to control headless WebKit. And then later on, there was Casper JS. So we had a thing with ghosts at the time, which was a testing framework on top of Phantom JS. And let me tell you that from the beginning, from the first possibilities to control a browser to test that the stuff that I actually put online works, I was a big fan of this approach because the idea of end-to-end testing was always appealing to me. Because you can test your websites and applications really from end-to-end, starting at the browser and maybe ending at the database and testing and covering all the things in between. Let it be APIs, web servers, or whatever you're building.

2. Challenges with End-to-End Testing

Short description:

When I wrote my first end-to-end test, it was a terrible experience. The test suite was slow, flaky, and we didn't enjoy writing tests. Waiting for green lights and dealing with false positives made it even worse. We invested a lot of time but realized it's not worth it. Running tests on-demand is not enough. We want tests running all the time, on commits, on deploys.

When I wrote my first end-to-end test, though, it was a terrible experience. I spent, for example, sprint over sprint over sprint with my colleagues and my team to come up with a good end-to-end test coverage, only to create a test suite that was slow, we didn't enjoy writing tests, and was flaky. It was the absolute worst-case scenario to end up with a slow test suite so that you have to wait 30, 40, 50 minutes to get a green light to maybe deploy a typo fix, but then also get false positives results so that you re-run your end-to-end tests to make sure that well, maybe the tests just were not right, and then they paced later on, you probably have been there. This is just the worst-case scenario that when you cannot rely on your test suite, and it is also slow. So we were there, we invested a lot of time, and at some point we decided that it's not worth it, and we went for, hey, let's run the tests on-demand, right? And maybe you have been there, too, but this is the moment when you pretty much give up on end-to-end testing, because what you want to do is you want to have your tests running all the time, on commits, on deploys, you want them to be on your radar at all times. And when you run them on-demand, well, that is probably not often enough, so that you will end up with an outdated test suite very, very quickly, because you forgot about it, and it's kind of negating all the effort that you put into place. And this is exactly what happened to me.

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