✨ What is
In this post we will look at using
uvu for TypeScript API testing.
uvu is a lightweight and lightning fast test runner . It is bare-boned though has enough functionality to run unit and integration tests on your app's backend. Being so fast you can merge it into your continuous integration process. This means you can run tests before every push to your git repo. On top it works well with test driven development, where you write tests first to define expected behaviour and then implement your feature.
🧱 What App are we Working On?
We won't build an app as we normally do in these posts. I have created a basic GraphQL API coded in TypeScript and using Fastify and Apollo server though. So you can clone that from the git repo to follow along or check out details we don't have time to go into here. Although that code uses Fastify, you can use
The API just has two available GraphQL queries — enough to see how uvu works.
We also have a utility function which we will test.
`SuperTest` is helpful for testing the GraphQL endpoints . We can use it to send HTTP requests and make assertions on the responses. If you are working on a Fastify project, as we will see, you use inbuilt Fastify functionality and don't need to add `supertest`.
uvu is pretty simple to set up for
node. Assuming you already have
ts-node installed in your TypeScript project, you just need to install
uvu itself. We also install
Next up we can add a script to run our tests in
test script registers
ts-node then looks for tests to run in the
tests directory. Change this directory name if you like to put tests in another location.
That's all the setup we need. Next we'll code up a unit test so we can run our first test.
Let's start by testing our utility function:
goodbyeResponse. This function just takes a name as a string input and returns a farewell greeting as a string:
We set the test script in
package.json to look for tests in the
tests folder at the root of our project so let's create a test file. Let's paste the code below into
6 we are just printing out the test name before each test. This is not necessary, though I like to do it as it helps spot which test is failing when there is an error. You can see this in the image below where a red “×” appears alongside the name of the failed test.
Unit Test Code
Carrying on down the previous code block, you see in lines
13 we have the actual first test.
uvu defines tests within functions, like many other test runners. The first argument to the
test function is a name for the test.
uvu has an assert module which we use here (imported in line
2), though this is optional. You can settle for node's assert if you want to strip things back even more. Here we assert our function does indeed have a function type. Then we check we get the expected response back for a given input.
Finally, in the last line, we trigger the tests by calling
test.run(). To run this test from the terminal:
npm test or equivalent
yarn command if you prefer. Next we will look at integration testing, first with the
supertest package and then using Fastify built in functionality for sending requests to our GraphQL endpoints.
Integration Testing with SuperTest
Here we will check our GraphQL endpoints give the expected responses. Although we focus on queries, you can also run mutations and make assertions on the state of a test database (for example).
The main difference, compared to the unit test above, is that we need to spin up our Fastify server before running the tests. Previously we used a
test.before.each function which ran before every test. We only need to start the server once, then run all tests. In this case, we can use
test.before. Let's see the code:
This code will differ slightly if you are using Express instead of Fastify, but most of it will remain unchanged. You will still need to import your
app in line
6, but the type and mechanisms for spinning it up and tearing down (lines
19) will be slightly different.
In this file we are testing the GraphQL endpoints. We send the GraphQL queries as JSON objects (see the recent post on SvelteKit GraphQL Queries using fetch only for more detail on structuring the request).
uvu being so lightweight, there is no built-in mechanism for creating and updating snapshots, like you have in Jest, for example. However, as you see in line
36 we can still compare a returned value against a snapshot string.
supertest code can be used on Express and other node servers. If you are using Fastify, you may prefer to use inbuilt functionality to send test GraphQL queries. Let's see how to do that next.
Integration Testing with Fastify Inject
Fastify has a built-in
inject method. We can use that to send GraphQL queries to our endpoints. There are a couple of subtle differences in the code, though it is still closely related to the
As before, you can test the tests by running
pnpm test in the terminal.
🔥 Husky CI Integration
Finally, for this post on using
uvu for TypeScript API testing, let's also add automatic testing into the app. This will run before each push, to reduce the likelihood of us pushing broken code to our repo. We will use
husky to add this functionality.
As a first step, initialise a
git repo in your project, if you have not yet done so:
Next initialise and install husky:
Finally, we need to add add a trigger to run the test script before each push:
🙌🏽 Using uvu for TypeScript API Testing: Wrapup
In this post we saw:
how handy using
uvufor TypeScript API testing can be,
a couple of ways to send GraphQL requests to you API endpoints,
how you can integrate testing into your continuous integration workflow.
I hope you have found this useful. If you are not familiar, with Fastify or TypeScript take a look at the code in the repo to help you level-up before you try your own project. The full code for the example app is on the Rodney Lab GitHub repo . Keen to hear feedback on the post as it is a little different to the usual style.
uvu for TypeScript API Testing: Feedback
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