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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

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1. Introduction

In this tutorial, we’ll give a brief introduction to AutoFactory, from by Google.

This is a source-level code generator that helps generate factories.

2. Maven Setup

Before we begin, let’s add the following dependency to the pom.xml:

<dependency>
    <groupId>com.google.auto.factory</groupId>
    <artifactId>auto-factory</artifactId>
    <version>1.0-beta5</version>
</dependency>

The latest version can be found here.

3. Quickstart

Let’s now take a quick look at what AutoFactory can do and create a simple Phone class.

So, when we annotate the Phone class with @AutoFactory and its constructor parameter with @Provided, we get:

@AutoFactory
public class Phone {

    private final Camera camera;

    private final String otherParts;

    PhoneAssembler(@Provided Camera camera, String otherParts) {
        this.camera = camera;
        this.otherParts = otherParts;
    }

    //...

}

We only used two annotations: @AutoFactory and @Provided. When we need a factory generated for our class, we can annotate it with @AutoFactory, whereas @Provided applies to constructor parameters of this class, and it means that the annotated parameter should be provided by an injected Provider.

In the snippet above, we expect the Camera to be provided by any camera producer and AutoFactory will help generate the following code:

@Generated("com.google.auto.factory.processor.AutoFactoryProcessor")
public final class PhoneFactory {

    private final Provider<Camera> cameraProvider;
    
    @Inject
    PhoneAssemblerFactory(Provider<Camera> cameraProvider) {
        this.cameraProvider = checkNotNull(cameraProvider, 1);
    }
    
    PhoneAssembler create(String otherParts) {
      return new PhoneAssembler(
        checkNotNull(cameraProvider.get(), 1),
        checkNotNull(otherParts, 2));
    }
    
    // ...

}

Now we have a PhoneFactory generated automatically by AutoFactory at compile time, and we can use it to produce phone instances:

PhoneFactory phoneFactory = new PhoneFactory(
  () -> new Camera("Unknown", "XXX"));
Phone simplePhone = phoneFactory.create("other parts");

The @AutoFactory annotation can be applied to constructors as well:

public class ClassicPhone {

    private final String dialpad;
    private final String ringer;
    private String otherParts;

    @AutoFactory
    public ClassicPhone(
      @Provided String dialpad, @Provided String ringer) {
        this.dialpad = dialpad;
        this.ringer = ringer;
    }

    @AutoFactory
    public ClassicPhone(String otherParts) {
        this("defaultDialPad", "defaultRinger");
        this.otherParts = otherParts;
    }

    //...

}

In the snippet above, we applied @AutoFactory to both constructors. AutoFactory will simply generate two creation methods for us accordingly:

@Generated(value = "com.google.auto.factory.processor.AutoFactoryProcessor")
public final class ClassicPhoneFactory {
    private final Provider<String> java_lang_StringProvider;

    @Inject
    public ClassicPhoneFactory(Provider<String> java_lang_StringProvider) {
        this.java_lang_StringProvider =
          checkNotNull(java_lang_StringProvider, 1);
    }

    public ClassicPhone create() {
        return new ClassicPhone(
          checkNotNull(java_lang_StringProvider.get(), 1),
          checkNotNull(java_lang_StringProvider.get(), 2));
    }

    public ClassicPhone create(String otherParts) {
        return new ClassicPhone(checkNotNull(otherParts, 1));
    }

    //...

}

AutoFactory also supports parameters annotated with @Provided, but only for JSR-330 annotations.

For example, if we want the cameraProvider to be “Sony”, we can change the Phone class to:

@AutoFactory
public class Phone {

    PhoneAssembler(
      @Provided @Named("Sony") Camera camera, String otherParts) {
        this.camera = camera;
        this.otherParts = otherParts;
    }

    //...

}

AutoFactory will retain the @Named @Qualifier so that we can make use of it, for example, when using Dependency Injection frameworks:

@Generated("com.google.auto.factory.processor.AutoFactoryProcessor")
public final class PhoneFactory {

    private final Provider<Camera> cameraProvider;
    
    @Inject
    PhoneAssemblerFactory(@Named("Sony") Provider<Camera> cameraProvider) {
      this.cameraProvider = checkNotNull(cameraProvider, 1);
    }

    //...

}

4. Customized Code Generation

There are several attributes we can use with the @AutoFactory annotation to customize the generated code.

4.1. Custom Class Name

The name of the generated factory class can be set with className:

@AutoFactory(className = "SamsungFactory")
public class SmartPhone {

    //...

}

With the configuration above, we’ll create a class named SamsungFactory:

@Generated("com.google.auto.factory.processor.AutoFactoryProcessor")
public final class SamsungFactory {

    //...

}

4.2. non-final Factories

Note that the generated factory class is marked final by default, so we can alter this behavior by setting the allowSubclasses attribute to true:

@AutoFactory(
  className = "SamsungFactory", 
  allowSubclasses = true)
public class SmartPhone {

    //...

}

Now we have:

@Generated("com.google.auto.factory.processor.AutoFactoryProcessor")
public class SamsungFactory {

    //...

}

4.3. More Capabilities

Additionally, we can specify a list of interfaces for the generated factory to implement using the implementing” parameter.

Here we need the SamsungFactory to produce smartphones with customizable storage:

public interface CustomStorage {
    SmartPhone customROMInGB(int romSize);
}

Note that methods in the interface should return instances of the base class SmartPhone.

Then, to generate a factory class with the interface above implemented, AutoFactory requires relevant constructors in the base class:

@AutoFactory(
  className = "SamsungFactory",
  allowSubclasses = true,
  implementing = CustomStorage.class)
public class SmartPhone {

    public SmartPhone(int romSize){
        //...
    }

    //...

}

Thus, AutoFactory will generate the following code:

@Generated("com.google.auto.factory.processor.AutoFactoryProcessor")
public class SamsungFactory implements CustomStorage {

    //...

    public SmartPhone create(int romSize) {
        return new SmartPhone(romSize);
    }
  
    @Override
    public SmartPhone customROMInGB(int romSize) {
        return create(romSize);
    }
}

4.4. Factories With Extensions

Since AutoFactory can generate interface implementations, it’s natural to expect it to be able to extend classes as well and this is possible indeed:

public abstract class AbstractFactory {
    abstract CustomPhone newInstance(String brand);
}

@AutoFactory(extending = AbstractFactory.class)
public class CustomPhone {

    private final String brand;

    public CustomPhone(String brand) {
        this.brand = brand;
    }
}

Here, we extended the AbstractFactory class using extending. Also, we should note that each abstract method in the base abstract class (AbstractFactory) should have a corresponding constructor in the concrete class (CustomPhone).

Finally, we can see the following generated code:

@Generated("com.google.auto.factory.processor.AutoFactoryProcessor")
public final class CustomPhoneFactory extends AbstractFactory {
 
    @Inject
    public CustomPhoneFactory() {
    }

    public CustomPhone create(String brand) {
        return new CustomPhone(checkNotNull(brand, 1));
    }

    @Override
    public CustomPhone newInstance(String brand) {
        return create(brand);
    }

    //...

}

We can see that AutoFactory is smart enough to make use of the constructor to implement the corresponding abstract method – great features like this in AutoFactory surely will save us lots of time and code.

5. AutoFactory With Guice

As we mentioned earlier in this article, AutoFactory supports JSR-330 annotations, so we can integrate existing dependency injection framework with it.

First, let’s add Guice to the pom.xml:

<dependency>
    <groupId>com.google.inject</groupId>
    <artifactId>guice</artifactId>
    <version>4.2.0</version>
</dependency>

The latest version of Guice can be found here.

Now, we’ll demonstrate how well AutoFactory integrates with Guice.

As we expect “Sony” to be the camera provider, we need to inject a SonyCameraProvider to PhoneFactory‘s constructor:

@Generated("com.google.auto.factory.processor.AutoFactoryProcessor")
public final class PhoneFactory {
 
    private final Provider<Camera> cameraProvider;

    @Inject
    public PhoneFactory(@Named("Sony") Provider<Camera> cameraProvider) {
        this.cameraProvider = checkNotNull(cameraProvider, 1);
    }

    //...

}

Finally, we’ll make the binding in a Guice module:

public class SonyCameraModule extends AbstractModule {

    private static int SONY_CAMERA_SERIAL = 1;

    @Named("Sony")
    @Provides
    Camera cameraProvider() {
        return new Camera(
          "Sony", String.format("%03d", SONY_CAMERA_SERIAL++));
    }

}

And we set the camera provider annotated with @Named(“Sony”) in SonyCameraModule to match PhoneFactory‘s constructor parameter.

Now we can see that Guice is managing dependency injection for our generated factory:

Injector injector = Guice.createInjector(new SonyCameraModule());
PhoneFactory injectedFactory = injector.getInstance(PhoneFactory.class);
Phone xperia = injectedFactory.create("Xperia");

6. Under the Hood

All annotations provided by AutoFactory are processed in the compilation stage, as we have explained in detail in the article: how the source-level annotation processing works.

7. Conclusion

In this article, we’ve introduced how to use AutoFactory, and how to integrate it with Guice – writing factories can be repetitive and error-prone – code generation tools like AutoFactory and AutoValue can save us lots of time and free us from subtle bugs.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

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