A unit test is one of the most basic tests when we create our application. It is to test each component or function as a unit - given an input, insert input to the function, and assert the output. However, we encounter much complexity within a unit test that has to do with complex IO or side effects.

A good rule of thumb is to create a mock of that side effect that returns the value that we want. However, by doing so, we need to extract out a single component to a function to mock that operation. It can be cumbersome.

In this blog, I would like to share about how you can test asynchronous code with a single few tweaks in your function - abstracting it over type constructor.

Let’s dive into an example to illustrate what I mean.

Note: We use category type classes and cats library later in the code if you are not familiar with category type classes here is a brief description of what it is.

## Problem

Imagine we have a DBClient, and we want to have a DBService to do some operation that has an interaction with Database, using DBClient.

Here is DBClient implementation:

trait DBClient {
def get(url:String):Future[Int]
}


Here is the DBService implementation:

class DBService(dbClient:DBClient) {
def sumAllPrice(urls:List[String]): Future[Int] = Future.traverse(urls)(dbClient.get).map(_.sum)
}


Now, if we want to test sumAllPrice we can create a stub of DBClient.

class TestDBClient extends DBClient {
override def get(url:String): Future[Int] = Future.successful{1}
}


How can we test sumAllPrice in the unit test?

Since it is asynchronous, we need to either have a test case that can receive the asynchronous result, however, if there is also a way to mitigate this problem by making the DBClient more generic and abstract it out to a type constructor.

## Action

We can solve this in a couple of ways. The first one is to refactor the code into a type constructor. In the second one, I want to change the code to a type class pattern.

## Abstracting Over Type Constructor

We make DBClient to receive a type constructor F[_] type.

trait DBClient[F[_]] {
def get(url:String):F[Int]
}



Note: You need to import Higher Kinded Types in your application.

It means that get(url:String) returns any constructor type. It can be Future[Int] or a List[Int].

We use Cats library to generate an asynchronous code for the production version and synchronous code for the test version.

Cats library has a Monad type id which allow types to wraps into a type constructor without changing their meaning:

package cats

type Id[A] = A


We have TestDBClient trait which uses for unit testing, and ProdDBClient trait which uses for the main code:

import cats.Id
trait TestDBClient extends DBClient[Id]

trait ProdDBClient extends DBClient[Future]


Then, we abstract the DBService over type constructor too.

import cats.implicits._

class DBService[F[_]:Applicative](dbClient:DBClient[F]) {
def sumAllPrice(urls:List[String]): F[Int] = urls.traverse(dbClient.get).map(_.sum)
}


F[_]: Applicative is syntactic sugar, context-bound, for having an implicit value of ap: Applicative[F].

The above function is the same as class DBService[F[_]](dbClient:DBClient[F])(implicit ap:Applicative[F])

Here we make the type constructor be an Applicative because traverse only works on a sequence of values that has an Applicative. In the context of Future it has an Applicative, and it results in List[Future[Int]]. However, by abstracting over type constructor, List[F[Int]], we need to prove to the compiler that the value has an Applicative when passing into the function.

In this case, we make the type constructor in DBClient to not bound to any specific context so that it can easily use in other services. However, we restrict the context of DBService because it needs to have Applicative to do traverse operation.

The second method is abstracting over type constructor but using type class pattern.

## Using Type Class

There are 3 things that we need to do to define a Type class:

1. Type Class
2. Type Instances
3. Interface Syntax, Interface Object

WTF is a Type Class?

We will define DBClient as a type class:

trait DBClient[F[_]] {
def get(url:String): F[Int]
}


Then we will defined the instances. The instance object is where we put the ProdDBClient and TestDBClient.

object DBClientInstances {
implicit val getFutureInstance: DBClient[Future] = new DBClient[Future] {
override def get(url: String): Future[Int] = ???
}

implicit val getIdInstance:DBClient[Id] = new DBClient[Id] {
override def get(url: String): Id[Int] = ???
}
}


Lastly, we create interface object, DBService and inject our instances in the sumAllPrice:

object DBService {
def sumAllPrice[F[_]:Applicative](urls:List[String])(implicit dbClient:DBClient[F]): F[Int] = urls.traverse(dbClient.get).map(_.sum)
}


We also restrict our type constructor to have an Applicative to use traverse.

Why didn’t we use Monad over here and Applicative instead? It is because Monad is more restricted, the subtype of Applicative, in the type class hierarchy, and for the current function Applicative can do the job. We don’t need to restrict the incoming element to Monad as we can have a broader range of behavior with Applicative, and fewer laws to obey (no flatMap). Therefore, the caller can make a broader range of behavior when implementing DBService.

## Takeaway

• We can test asynchronous code by abstracting our application with a type constructor.
• When abstracting your application with type constructor, it is an excellent practice to make the type constructor have a minimal restriction for behavior that needed for the current implementation. For instance, DBClient is not restricted to having any context, whereas DBService is restricted to have Applicative because we want to be able to use traverse in the type constructor.

All the source code in this tutorial are here.

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