In a previous post we saw how we can use Spring Boot in a Ratpack application. But the integration can also be the other way around: using Ratpack in a Spring Boot application. This way we can use Ratpack’s power to handle requests sent to our Spring Boot application and still use all Spring Boot features in our application. The easiest way to add Ratpack to a Spring Boot application is adding a Ratpack dependency and use the @EnableRatpack annotation. With this annotation a RatpackServer instance is created and started along with configuration options.

Let’s see an example Spring Boot application with Ratpack enabled. First we add Ratpack as dependency to our Spring Boot application. In our example we also add Ratpack’s Dropwizard module as dependency. We use Gradle in our example:

When we start a Spring Boot application and pass arguments to the application, Spring Boot will capture those arguments and creates a Spring bean of type ApplicationArguments and puts it in the application context. We can use this Spring bean to access the arguments passed to the application. We could for example auto wire the bean in another bean and use the provided argument values. The ApplicationArguments interface has methods to get arguments values that are options and plain argument values. An option argument is prefixed with --, for example --format=xml is a valid option argument. If the argument value is not prefixed with -- it is a plain argument.

In the following example application we have a Spring Boot application with a Spring bean that implements CommandLineRunner. When we define the CommandLineRunner implementation we use the ApplicationArguments bean that is filled by Spring Boot:

When we write a Spring Boot application a lot of things are done for us. For example when an exception in the application occurs when we start our application, Spring Boot will exit the application with exit code 1. If everything goes well and the we stop the application the exit code is 0. When we use the run method of SpringApplication and an exception is not handled by our code, Spring Boot will catch it and will check if the exception implements the ExitCodeGenerator interface. The ExitCodeGenerator interface has one method getExitCode() which must return a exit code value. This value is used as input argument for the method System.exit() that is invoke by Spring Boot to stop the application.

In the following example application we write a Spring Boot command line application that can throw an exception on startup. The exception class implements the ExitCodeGenerator interface:

Testing a Ratpack application is not difficult. Ratpack has excellent support for writing unit and integration tests. When we create the fixture MainClassApplicationUnderTest we can override the method addImpositions to add mock objects to the application. We can add them using the ImpositionsSpec object. When the application starts with the test fixture the provided mock objects are used instead of the original objects. For a Groovy based Ratpack application we can do the same thing when we create the fixture GroovyRatpackMainApplicationUnderTest.

We start with a simple Java Ratpack application. The application adds an implementation of a NumberService interface to the registry. A handler uses this implementation for rendering some output.

We have several options to define a Ratpack application. We can use a Java syntax to set up the bindings and handlers. Or we can use the very nice Groovy DSL. It turns out we can use both together as well. For example we can define the handlers with the Groovy DSL and the rest of the application definition is written in Java. To combine both we start with the Java configuration and use the bindings and handlers method of the Groovy.Script class to inject the files with the Groovy DSL.

We start with a sample application where we use Java configuration to set up our Ratpack application:

One of the very nice features of Ratpack is the Groovy DSL to define our application. We get a nice DSL to set up the registry, to define handlers and more. Because of clever use of the @DelegateTo annotation we get good code completion in our IDE. We can also add static compilation of our Groovy DSL when we start our Ratpack application. With static compilation the script is type checked at compile time so we get earlier feedback on possible errors in the script. To configure static compilation we must invoke the app method of the Groovy.Script class with the argument true.

We start with a Groovy DSL for an application that serves recipes. Notice the Closure arguments are all typed, so with type checking there are no errors.

Ratpack uses renderers to render output. We can create our own renderer by implementing the Renderer interface. The renderer class needs to implement a render method that has the object we want to render as argument. Alternatively we can add the logic to render a object to the class definition of that object. So instead of having a separate renderer class for a class, we add the render logic to the class itself. To achieve this we must implement the Renderable interface for our class. Ratpack provides a RenderableRenderer in the registry that knows how to render classes that implement the Renderable interface.

In the following example we have a Recipe class that implements the Renderable interface:

We can open a Gradle project in IntelliJ IDEA and get support for Gradle inside IntelliJ. Sometimes we need to refresh the project in IntelliJ IDEA, for example when we add a new dependency or plugin in our Gradle build file. We need to refresh the Gradle project so IntelliJ IDEA can work with the changes. The Gradle tool window has an icon to Refresh all Gradle projects. But this means a mouse action and we want to have a shortcut key so we can leave our hands on the keyboard.

The action Refresh all Gradle projects is actually the action Refresh all external projects. We can add keyboard shortcut key via Preferences | Keymap. We use the search box to search for Refresh all external projects.

Ratpack has parsers to parse a request with a JSON body or a HTML form. We simply use the parse method of Context and Ratpack will check if there is a compliant parser in the registry. If there is a parser for that type available then Ratpack will parse the request and return a Promise with the value. To write a new parser we need to implement the Parser interface. The easiest way to implement this interface is by writing a class that extends ParserSupport. Using the ParserSupport class we can also work with an options object that a user can pass on to the parse method of Context. If we don’t need options we can also extend the NoOptParserSupport class.

Let’s write a custom parser that can parse a request with a hex or base64 encoded value. The parser returns a String object with the decoded value. In our example we also want the user to provide an optional options object of type StringParserOpts which denotes the type of decoding:

Ratpack uses renderers to render objects with the render method of the Context class. Ratpack has several renderers that are available automatically. One of those renderers is the OptionalRenderer. When we want to render an Optional object this renderer is selected by Ratpack. If the Optional instance has a value the value is passed to the render method. If the value is not present a 404 client error is returned.

In the following example application we have a RecipeRepository class with a findRecipeByName method. This method returns Promise<Optional<Recipe>>:

In a previous post we learned about Spring Cloud Contract. We saw how we can use contracts to implement the server side of the contract. But Spring Cloud Contract also creates a stub based on the contract. The stub server is implemented with Wiremock and Spring Boot. The server can match incoming requests with the contracts and send back the response as defined in the contract. Let’s write an application that is invoking HTTP requests on the server application we wrote before. In the tests that we write for this client application we use the stub that is generated by Spring Cloud Contract. We know the stub is following the contract of the actual server.

First we create the stub in our server project with the Gradle task verifierStubsJar. The tests in the client application need these stub and will fetch it as dependency from a Maven repository or the local Maven repository. For our example we use the local Maven repository. We add the maven-publish plugin to the server project and run the task publishToMavenLocal.

Spring Cloud Contract is a project that allows to write a contract for a service using a Groovy DSL. In the contract we describe the expected requests and responses for the service. From this contract a stub is generated that can be used by a client application to test the code that invokes the service. Spring Cloud Contract also generates tests based on the contract for the service implementation. Let’s see how we can use the generated tests for the service implementation for a Ratpack application.

Spring Cloud Contract comes with a Gradle plugin. This plugin adds the task generateContractTests that creates tests based on the contract we write. There are also tasks to create the stub for a client application, but here we focus on the server implementation. In the following Gradle build file for our Ratpack application we use the Spring Cloud Contract Gradle plugin. We configure the plugin to use Spock as framework for the generated tests.