Learn how to implement data models for the impure service.

We'll cover the following

Initial implementation

Refine types

Product model

Initial implementation

First, we’ll implement our models, which are simple and straightforward. Let’s create a class to store a single translation.

1

final case class Translation(lang: String, name: String)

Translation model

This method works, but we can definitely do better.

Using Option[String] is of no use because both fields have to be set. But a String can always be null and contain a lot of unexpected things (literally anything).

This is where refined types come to the rescue!

Refine types

Let’s define some refined types, which we can use later on. We need two things: a language code that obeys the restrictions of ISO-639-1, and a stronger definition for a product name. For the former, we use a regular expression, and for the latter, we simply expect a non-empty String.

12

type LanguageCode = String Refined MatchesRegex[W.`"^[a-z]{2}$"`.T]

type ProductName = String Refined NonEmpty

Refined types for models

Now, we can give our translation model another try.

1

final case class Translation(lang: LanguageCode, name: ProductName)

Translation model using refined types

Much better! While we’re at it, we can also write the JSON codecs using the refined module of the Circe library. We put them into the companion object of the model.