Reasons to Love Jest: The Test Framework
Reasons to Love Jest: The Test Framework
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We had Tape, Mocha, Ava, and now Jest. Let’s see what this is all about!
I enjoy writing tests, but Jest takes it to a whole new level. It’s like I get up in the morning and ask myself:
What new app am I going to build today? I need something to write some Jest tests for...
I love Jest for many reasons and this is the first of several posts where I’ll share why I really like it. So let’s get started.
Jest follows the #0CJS practices for Zero Configuration, where even though it is extendible with many configuration variables, it just works out of the box and you don’t need to configure anything special.
Think Webpack 4, Parcel, Create React App — this is a practice that many projects have been following recently so it shouldn’t be news and Jest embraces it whole heartedly.
What #0CJS boils down to:
- One dependency — just install Jest.
- Mocking is built in; no need to install test double libraries like Proxyquire, Sinon, Testdouble, or others.
- Assertions are built in; no need to install Chai, Should.js, or others. Jest ships with a good basis of what it refers to as Matchers to assert expectations.
- Code coverage? Built-in.
Fast Like Ava, Sane Like the Rest
Oh Ava, my love!
I jumped from Mocha to Ava.js a few years back and it has been an interesting ride. With Ava, it’s not about the tooling but rather the philosophy and test practices it promotes — no shared state between any tests.
This is, however, not an easy task to follow.
Let’s see a crude example . Say your app behaves differently depending on an environment variable like
NODE_ENV (not a far fetched example) and you want to test it in different conditions:
See the pitfall?
With Ava, the two test cases are executed concurrently, which will lead to a situation where, by the time the first test case enters the service promise, the second test case already ran and changed the global variable’s value to production.
Some of these pitfalls are not uncommon across test code—global variables, singletons, which are the basis for Node.js module system, or integration tests where managing state between test cases is part of a flow.
All of these are bad test patterns and should be avoided as Ava encourages, but we often find ourselves in these situations.
There’s a great talk about Jest as a Platform by Rogelio Guzman from ReactiveConf 2017 which I highly recommend you to watch.
But without diving into the internals of the Jest project and how the platform is built, I'd just like to give a quick overview.
Jest’s matchers (assertions, such as
expect().toBe(1)) are easily extendible and help make your code more readable and concise without requiring you to use any of the language constructs.
For example, while Jest matchers give you out of the box things like:
With the jest-extended package installed you also get the following matchers:
Numbers or Objects
More ecosystem extensions at jest-extended
Imagine you have an existing code base written in one test framework and you want to move to another framework. How would you do it?
Codemods are programs that help you automate work for transforming your code base, and can largely be categorized in the following levels of maturity:
- Search and replace.
- Apply regular expressions for smarter search and replace.
- Apply Abstract Syntax Tree (AST) transformations from one language syntax to another.
Codemods aren't really specific to Jest but they make the job easy when you need to migrate existing projects.
I wrote an article that documented this process on a small project if you're about to venture into the same kind of process.
And of course the jest-codemods repoistory is a great resource that will get you going.
I'd be happy to hear about why you love Jest. There's a second part that I'll share soon — "Reasons to Love Jest: Developer Experience."
Published at DZone with permission of Liran Tal . See the original article here.
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