The fixture-ktx is a tool that helps generate class instances with random data to facilitate unit testing. It supports a variety of property types, including strings, numbers, booleans, enums, sealed classes, and exceptions.

Add it in your root settings.gradle or build.gradle at the end of repositories:

dependencyResolutionManagement {
    repositoriesMode.set(RepositoriesMode.FAIL_ON_PROJECT_REPOS)
    repositories {
        google()
        mavenCentral()
        maven("https://jitpack.io")
    }
}

Add the Fixture Library dependency to your build configuration file. For example, if you're using Gradle, add the following to your build.gradle file:

dependencies {
    implementation 'com.github.heroesofcode:fixture-ktx:$version'
}

To generate an instance of a class with random data, use the fixtureOf method.

import io.heroesofcode.Fixture.fixtureOf

val user = fixtureOf<User>()

To generate a list of class instances with random data, use the fixtureListOf method.

import io.heroesofcode.Fixture.fixtureListOf

val users = fixtureListOf<User>()

Let's consider the following User class as an example:

data class User(
    val name: String,
    val age: Int,
    val email: String,
    val isActive: Boolean,
    val accountBalance: Double
)

fun main() {
    val user: User = fixtureOf()
    println(user)

    val users: List<User> = fixtureListOf(size = 5)
    users.forEach { println(it) }
}

The fixture-ktx currently supports the following property types:

• String: Generates a random string.
• Int: Generates a random integer.
• Boolean: Generates a random boolean value.
• Double: Generates a random double value.
• Float: Generates a random float value.
• Enum: Randomly selects a value from an enumeration.
• Sealed Classes: Randomly selects a subclass of a sealed class.
• Exceptions: Generates instances of exceptions with a default message.
• List: Generates a list of random values of a specified type.
• Array: Generates an array of random values of a specified type.
• Set: Generates a set of random values of a specified type.

The library leverages the Kotlin-Faker library to generate realistic fake data, providing a closer match to real-world scenarios.

Contributions are welcome! Feel free to open an issue or submit a pull request on the project's repository.