Welcome to the world of Fixture Monkey, where testing becomes a breeze! Fixture Monkey is an innovative tool designed to generate arbitrary instances effortlessly, making your testing process not only easy but also highly efficient. Let’s dive into how you can harness this power and ensure your tests are robust!

What is Fixture Monkey?

Think of Fixture Monkey as a master chef in a kitchen, cooking up test instances that are tailored to your needs. Just like a chef can whip up various dishes using the same fundamental ingredients, Fixture Monkey provides you with the ability to reuse configurations across multiple tests. It helps you write tests for a vast array of scenarios, including edge cases, using just one instance of the FixtureMonkey type.

Getting Started with Fixture Monkey

To get started with Fixture Monkey, follow these simple steps for installation and set up the necessary environment:

Requirements

• JDK 1.8 or higher
• Jqwik 1.7.3
• Kotlin 1.8 or higher
• kotest-property 5.6.2

Installation

Install Fixture Monkey in your Java or Kotlin projects using Gradle or Maven.

Gradle

dependencies {
    // For Java
    testImplementation 'com.navercorp.fixturemonkey:fixture-monkey-starter:1.0.26'
    
    // For Kotlin
    testImplementation 'com.navercorp.fixturemonkey:fixture-monkey-starter-kotlin:1.0.26'
}

Maven

<dependency>
    <groupId>com.navercorp.fixturemonkey</groupId>
    <artifactId>fixture-monkey-starter</artifactId>
    <version>1.0.26</version>
    <scope>test</scope>
</dependency>

<dependency>
    <groupId>com.navercorp.fixturemonkey</groupId>
    <artifactId>fixture-monkey-starter-kotlin</artifactId>
    <version>1.0.26</version>
    <scope>test</scope>
</dependency>

Creating Your First Test

Now, let’s put Fixture Monkey to work with an example. We’ll look at a sample Java and Kotlin implementation to give you a clear understanding.

Java Implementation

import org.junit.jupiter.api.Test;
import static org.assertj.core.api.Assertions.*;

public class OrderTest {
    @Value
    public class Order {
        Long id;
        String orderNo;
        String productName;
        int quantity;
        long price;
        List items;
        Instant orderedAt;
    }

    @Test
    void sampleOrder() {
        FixtureMonkey sut = FixtureMonkey.builder()
            .objectIntrospector(ConstructorPropertiesArbitraryIntrospector.INSTANCE)
            .build();

        Order actual = sut.giveMeBuilder(Order.class)
            .set(javaGetter(Order::getOrderNo), 1)
            .set(javaGetter(Order::getProductName), "Line Sally")
            .minSize(javaGetter(Order::getItems), 1)
            .sample();

        then(actual.getOrderNo()).isEqualTo(1);
        then(actual.getProductName()).isEqualTo("Line Sally");
        then(actual.getItems()).hasSizeGreaterThanOrEqualTo(1);
    }
}

Kotlin Implementation

import org.junit.jupiter.api.Test
import kotlin.test.assertEquals

data class Order(
    val id: Long,
    val orderNo: String,
    val productName: String,
    val quantity: Int,
    val price: Long,
    val items: List,
    val orderedAt: Instant
)

class OrderTest {
    @Test
    fun sampleOrder() {
        val sut = FixtureMonkey.builder()
            .plugin(KotlinPlugin())
            .build()

        val actual = sut.giveMeBuilder(Order::class.java)
            .setExp(Order::orderNo, 1)
            .setExp(Order::productName, "Line Sally")
            .minSizeExp(Order::items, 1)
            .sample()

        assertEquals(1, actual.orderNo)
        assertEquals("Line Sally", actual.productName)
        assertTrue { actual.items.size >= 1 }
    }
}

Troubleshooting Your Setup

If you encounter issues during the setup, consider the following troubleshooting steps:

• Ensure you have the correct versions of JDK, Jqwik, Kotlin, and kotest-property installed.
• Double-check your Gradle or Maven configurations for any typos or misconfigurations.
• Consult the [Fixture Monkey Documentation](https://naver.github.io/fixture-monkey) for detailed guidance.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

With Fixture Monkey, you can streamline your testing process, reduce boilerplate code, and improve the quality of your tests. It’s like having a Swiss Army knife for all your testing needs!

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.