Archive: 2017

Ratpacked: Render Optional Type Instance

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Hubert Klein Ikkink

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>>:

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Ratpacked: Using Spring Cloud Contract As Client

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Hubert Klein Ikkink

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.

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Ratpacked: Using Spring Cloud Contract To Implement Server

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Hubert Klein Ikkink

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.

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Ratpacked: Easy URI Creation With HttpUrlBUillder

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Hubert Klein Ikkink

When we need to create a URI object in Ratpack we can use the HttpUrlBuilder class. We use several methods to build up a complete URI object in an easy way. This is very useful when we for example use Ratpack’s HttpClient object and we need to pass an URI to do a request.

In the following example specification we see several usages of the HttpUrlBuilder class:

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Gradle Goodness: Skip Task When Input Empty Using @SkipWhenEmpty Annotation

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Hubert Klein Ikkink

Gradle has excellent incremental build support. This means that Gradle can determine if a task needs to be executed based on the input and output of that task. If for example nothing changed in one of the input and output files, then the task can be skipped. We can add incremental build support for our custom tasks by defining the input and output of the task. We can also define that a task can be skipped when a collection of files or a directory that is the input of the task are empty or not exists. Gradle offers the @SkipWhenEmpty annotation we can apply on the input of our task.

In the next example we have a task DisplayTask that prints the contents of files in a directory. We want to skip the task when the directory is empty.

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Grails Goodness: Custom JSON and Markup Views For Default REST Resources

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Hubert Klein Ikkink

In Grails we can use the @Resource annotation to make a domain class a REST resource. The annotation adds a controller as URL endpoint for the domain class. Values for the domain class properties are rendered with a default renderer. We can use JSON and markup views to customize the rendering of the domain class annotated with a @Resource annotation. First we must make sure we include views plugin in our build configuration. Then we must create a directory in the grails-app/views directory with the same name as our domain class name. Inside the directory we can add JSON and markup views with names that correspond with the controller actions. For example a file index.gson or index.gml for the index action. We can also create a template view that is automatically used for a resource instance by adding a view with the name of the domain class prefixed with an underscore (_).

In the next example application we create a custom view for the Book domain class that is annotated with the @Resource annotation:

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Grails Goodness: Using Domain Classes Without Persistence

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Hubert Klein Ikkink

Normally when we create a domain class in Grails we rely on GORM for all the persistence logic. But we can use the static property mapWith with the value none to instruct Grails the domain class is not persisted. This can be useful for example if we want to use a RestfulController for a resource and use the default data binding support in the RestfulController. The resource must be a domain class to make it work, but we might have a custom persistence implementation that is not GORM. By using the mapWith property we can still have benefits from the RestfulController and implement our own persistence mechanism.

In the following example we have a simple Book resource. We define it as a domain class, but tell Grails the persistence should not be handled by GORM:

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Release NPM package with git-flow

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Willem Cheizoo

Having an NPM package in an enterprise environment and wanting to release that package using the git-flow model? Then using the [node-generate-release](https://ift.tt/28QYo7d) can be very helpful. This blog shows how to execute an integrated git flow release from your NPM package, even if your master and develop branches are protected.

Let’s assume we have all changes in the develop branch and we would like to create a release with all the current changes in develop. With the git-flow release the result will be that all changes will be merged into master and a tag for the release version is created with correct version. Before we can finish the release the correct version in NPM package.json needs to be set. This can all be nicely done with node-generate-release plugin.

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Groovy Goodness: Using The Call Operator ()

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Hubert Klein Ikkink

In Groovy we can add a method named call to a class and then invoke the method without using the name call. We would simply just type the parentheses and optional arguments on an object instance. Groovy calls this the call operator: (). This can be especially useful in for example a DSL written with Groovy. We can add multiple call methods to our class each with different arguments. The correct method is invoked at runtime based on the arguments.

In the following example we have User class with three call method implementations. Next we see how we invoke the call methods, but without typing the method name and just use the parenthesis and arguments:

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Groovy Goodness: Creating Root JSON Array With JsonBuilder

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Hubert Klein Ikkink

To create JSON output with Groovy is easy using JsonBuilder and StreamingJsonBuilder. In the samples mentioned in the links we create a JSON object with a key and values. But what if we want to create JSON with a root JSON array using JsonBuilder or StreamingJsonBuilder? It turns out to be very simple by passing a list of values using the constructor or using the implicit method call.

In the following example we use JsonBuilder to create a root JSON array:

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Gradle Goodness: Check Operating System In Build Scripts

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Hubert Klein Ikkink

Sometimes we want to check which operating system is used in our build script. For example we have tasks that need to run if the operating system is Windows and not for other operating systems. Gradle has an internal class org.gradle.nativeplatform.platform.internal.DefaultOperatingSystem, but we should not use this class in our build scripts. The class is used internally by Gradle and can change without warning. If we would depend on this class and it changes we break our build scripts. But we can use a class from Ant that is already in Gradle’s class path: org.apache.tools.ant.taskdefs.condition.Os. The class has several methods and constants to check the operating system name, version and architecture. The values are based on the Java system properties os.name, os.version and os.arch.

In the following example build script we use import static to include the Os class, so we can directly invoke the methods and refer to the constants in the Os class. We add some tasks that have a condition check with onlyIf so the task only runs when the condition in the closure is true. The task osInfo simply shows values from the Os class:

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