Jetty webapp osgi way

I will show how to expose simple Jetty OSGi service and use it to register hello world webapp. This app will serve static content from OSGi bundle and implement sample request handler under ServiceMix 4.Code is available here: http://github.com/rafalrusin/jetty-service
Alternative solutions are: using standard OSGi HTTP service http://www.osgi.org/javadoc/r4v42/org/osgi/service/http/HttpService.htmlto register servlet; and wrap existing WAR application using PAX WEB http://wiki.ops4j.org/display/paxweb/Pax+Web.I won’t consider those two, since Jetty itself provides flexible way to handle webapps (including registering servlets). So those two are unnecessary overhead and are less flexible. Anyway those two are usually implemented on top of Jetty.
So the first thing to do is to create Jetty OSGi service. Basicly it will be a Spring Bean exposed to OSGi. Following snippet does the job:

<bean id="jetty-service" class="org.apache.jetty.service.JettyServiceImpl" init-method="init" destroy-method="destroy"/>
<osgi:service id="jetty-service-osgi" ref="jetty-service" interface="org.apache.jetty.service.api.JettyService" />

This will expose jetty-service to OSGi. All other components, which connect to it will wait automaticly until it’s registered.Exposed interface has following methods:

public Handler registerApp(String name, Handler handler) throws Exception;
public void unregisterApp(Handler handler) throws Exception;

Those will be invoked to register Hello World application. JettyServiceImpl on the other hand, starts embedded Jetty Server and handles apps registration.
package org.apache.jetty.service;

import org.apache.jetty.service.api.JettyService;
import org.mortbay.jetty.Handler;
import org.mortbay.jetty.Server;
import org.mortbay.jetty.handler.ContextHandler;
import org.mortbay.jetty.handler.ContextHandlerCollection;

public class JettyServiceImpl implements JettyService {
    private Server server;
    private ContextHandlerCollection rootContext;

    public void init() throws Exception {
        server = new Server(8080);
        rootContext = new ContextHandlerCollection();
        server.setHandler(rootContext);
        server.start();
    }

    public void destroy() throws Exception {
        server.stop();
    }

    public Handler registerApp(String name, Handler handler) throws Exception {
        server.stop();
        ContextHandler h = rootContext.addContext("/" + name, name);
        h.setHandler(handler);
        server.start();
        return h;
    }

    public void unregisterApp(Handler handler) throws Exception {
        server.stop();
        rootContext.removeHandler(handler);
        server.start();
    }
}

Next step is to implement sample web app. First, we need to connect jetty-service bean to make it visible in our app.

  <osgi:reference id="jetty-service" interface="org.apache.jetty.service.api.JettyService" bean-name="jetty-service"/>

<bean class=“org.apache.jetty.service.example.HelloWorld” init-method=“init” destroy-method=“destroy”>
<property name=“jettyService” ref=“jetty-service”/>
Then, we need to implement sample app.

package org.apache.jetty.service.example;

import java.io.IOException;
import javax.servlet.ServletException;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

import org.apache.jetty.service.api.JettyService;
import org.apache.jetty.service.util.BundleResource;
import org.mortbay.jetty.Handler;
import org.mortbay.jetty.HttpConnection;
import org.mortbay.jetty.Request;
import org.mortbay.jetty.handler.AbstractHandler;
import org.mortbay.jetty.handler.ContextHandler;
import org.mortbay.jetty.handler.ContextHandlerCollection;
import org.mortbay.jetty.handler.ResourceHandler;

public class HelloWorld {
    private JettyService jettyService;
    private Handler registered;

    public void setJettyService(JettyService jettyService) {
        this.jettyService = jettyService;
    }

    public void init() throws Exception {
        ContextHandlerCollection handler = new ContextHandlerCollection();

        handler.addContext("/app", "app").setHandler(new AbstractHandler() {
            public void handle(String target, HttpServletRequest request,
                               HttpServletResponse response, int arg3) throws IOException,
                    ServletException {
                response.setContentType("text/html");
                response.setStatus(HttpServletResponse.SC_OK);
                response.getWriter().println(
                    "Hello World from Java"
                    + request.getParameterMap()
                );

                Request base_request = (request instanceof Request) ? (Request) request : HttpConnection.getCurrentConnection().getRequest();
                base_request.setHandled(true);
            }
        });

        ResourceHandler resourceHandler = new ResourceHandler();
        resourceHandler.setBaseResource(new BundleResource(getClass().getResource("/static")));
        ContextHandler contextHandler = handler.addContext("", "");
        contextHandler.setHandler(resourceHandler);

        registered = jettyService.registerApp("helloWorld", handler);
    }

    public void destroy() throws Exception {
        jettyService.unregisterApp(registered);
    }
}

Here, we register sample request handler at ‘app’ sub path and serve static content from jar using BundleResource. Last thing is registering app using jettyService under ‘helloWorld’ context. So our application will be exposed under http://localhost:8080/helloWorld/ address.
ServiceMix has also so called features. This is the way to collect multiple dependencies under a single name. So we have to create features.xml file, like this:

<features>
    <feature name="jetty-service" version="${project.version}">
        <bundle>mvn:org.apache.jetty.service/service/${project.version}bundle> feature>

<feature name=“example-jetty-service-helloworld” version=“${project.version}”>
<feature version=“${project.version}”>jettyservicefeature>
<bundle>mvn:org.apache.jetty.service/examplehelloworld/${project.version}bundle>
feature>
features>

Basicly, we can provide particular dependencies for our project.
Next, we do ‘mvn install’ on our project and run apache-servicemix-4.2.0-fuse-01-00/bin/servicemix karaf console. On the console, we need to type following commands:

features:addUrl mvn:org.apache.jetty.service/service-karaf/0.1.0-SNAPSHOT/xml/features
features:install example-jetty-service-helloworld
osgi:list
[ 230] [Active ] [ ] [Started] [ 60] Unnamed – org.apache.jetty.service:service:bundle:0.1.0-SNAPSHOT (0.1.0.SNAPSHOT)
[ 231] [Active ] [ ] [Started] [ 60] Unnamed – org.apache.jetty.service:example-helloworld:bundle:0.1.0-SNAPSHOT (0.1.0.SNAPSHOT)
Now, we can enter http://localhost:8080/helloWorld/ to test our app.
And that’s it. OSGi and ServiceMix 4 features enable easy way to use dynamic modules in web apps. For example, it’s veryeasy to build simple web framework with loadable components on page (something like mini implementation of Portlets).

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Integration testing custom validation constraints in Jersey 2

I recently joined a team trying to switch a monolithic legacy system into set of RESTful services in Java. They decided to use latest 2.x version of Jersey as a REST container which was not a first choice for me, since I’m not a big fan of JSR-* specs. But now I must admit that JAX-RS 2.x is doing things right: requires almost zero boilerplate code, support auto-discovery of features and prefers convention over configuration like other modern frameworks. Since the spec is still young, it’s hard to find good tutorials and kick-off projects with some working code. I created jersey2-starter project on GitHub which can be used as starting point for your own production-ready RESTful service. In this post I’d like to cover how to implement and integration test your own validation constraints of REST resources.

Custom constraints

One of the issues which bothers me when coding REST in Java is littering your class model with annotations. Suppose you want to build a simple Todo list REST service, when using Jackson, validation and Spring Data, you can easily end up with this as your entity class:

@Document
public class Todo {
    private Long id;
    @NotNull
    private String description;
    @NotNull
    private Boolean completed;
    @NotNull
    private DateTime dueDate;

    @JsonCreator
    public Todo(@JsonProperty("description") String description, @JsonProperty("dueDate") DateTime dueDate) {
        this.description = description;
        this.dueDate = dueDate;
        this.completed = false;
    }
    // getters and setters
}

Your domain model is now effectively blured by messy annotations almost everywhere. Let’s see what we can do with validation constraints (@NotNulls). Some may say that you could introduce some DTO layer with own validation rules, but it conflicts for me with pure REST API design, which stands that you operate on resources which should map to your domain classes. On the other hand - what does it mean that Todo object is valid? When you create a Todo you should provide a description and due date, but what when you’re updating? You should be able to change any of description, due date (postponing) and completion flag (marking as done) - but you should provide at least one of these as valid modification. So my idea is to introduce custom validation constraints, different ones for creation and modification:

@Target({TYPE, PARAMETER})
@Retention(RUNTIME)
@Constraint(validatedBy = ValidForCreation.Validator.class)
public @interface ValidForCreation {
    //...
    class Validator implements ConstraintValidator<ValidForCreation, Todo> {
    /...
        @Override
        public boolean isValid(Todo todo, ConstraintValidatorContext constraintValidatorContext) {
            return todo != null
                && todo.getId() == null
                && todo.getDescription() != null
                && todo.getDueDate() != null;
        }
    }
}

@Target({TYPE, PARAMETER})
@Retention(RUNTIME)
@Constraint(validatedBy = ValidForModification.Validator.class)
public @interface ValidForModification {
    //...
    class Validator implements ConstraintValidator<ValidForModification, Todo> {
    /...
        @Override
        public boolean isValid(Todo todo, ConstraintValidatorContext constraintValidatorContext) {
            return todo != null
                && todo.getId() == null
                && (todo.getDescription() != null || todo.getDueDate() != null || todo.isCompleted() != null);
        }
    }
}

And now you can move validation annotations to the definition of a REST endpoint:

@POST
@Consumes(APPLICATION_JSON)
public Response create(@ValidForCreation Todo todo) {...}

@PUT
@Consumes(APPLICATION_JSON)
public Response update(@ValidForModification Todo todo) {...}

And now you can remove those NotNulls from your model.

Integration testing

There are in general two approaches to integration testing:

  • test is being run on separate JVM than the app, which is deployed on some other integration environment
  • test deploys the application programmatically in the setup block.

Both of these have their pros and cons, but for small enough servoces, I personally prefer the second approach. It’s much easier to setup and you have only one JVM started, which makes debugging really easy. You can use a generic framework like Arquillian for starting your application in a container environment, but I prefer simple solutions and just use emdedded Jetty. To make test setup 100% production equivalent, I’m creating full Jetty’s WebAppContext and have to resolve all runtime dependencies for Jersey auto-discovery to work. This can be simply achieved with Maven resolved from Shrinkwrap - an Arquillian subproject:

    WebAppContext webAppContext = new WebAppContext();
    webAppContext.setResourceBase("src/main/webapp");
    webAppContext.setContextPath("/");
    File[] mavenLibs = Maven.resolver().loadPomFromFile("pom.xml")
                .importCompileAndRuntimeDependencies()
                .resolve().withTransitivity().asFile();
    for (File file: mavenLibs) {
        webAppContext.getMetaData().addWebInfJar(new FileResource(file.toURI()));
    }
    webAppContext.getMetaData().addContainerResource(new FileResource(new File("./target/classes").toURI()));

    webAppContext.setConfigurations(new Configuration[] {
        new AnnotationConfiguration(),
        new WebXmlConfiguration(),
        new WebInfConfiguration()
    });
    server.setHandler(webAppContext);

(this Stackoverflow thread inspired me a lot here)

Now it’s time for the last part of the post: parametrizing our integration tests. Since we want to test validation constraints, there are many edge paths to check (and make your code coverage close to 100%). Writing one test per each case could be a bad idea. Among the many solutions for JUnit I’m most convinced to the Junit Params by Pragmatists team. It’s really simple and have nice concept of JQuery-like helper for creating providers. Here is my tests code (I’m also using builder pattern here to create various kinds of Todos):

@Test
@Parameters(method = "provideInvalidTodosForCreation")
public void shouldRejectInvalidTodoWhenCreate(Todo todo) {
    Response response = createTarget().request().post(Entity.json(todo));

    assertThat(response.getStatus()).isEqualTo(BAD_REQUEST.getStatusCode());
}

private static Object[] provideInvalidTodosForCreation() {
    return $(
        new TodoBuilder().withDescription("test").build(),
        new TodoBuilder().withDueDate(DateTime.now()).build(),
        new TodoBuilder().withId(123L).build(),
        new TodoBuilder().build()
    );
}

OK, enough of reading, feel free to clone the project and start writing your REST services!

I recently joined a team trying to switch a monolithic legacy system into set of RESTful services in Java. They decided to use latest 2.x version of Jersey as a REST container which was not a first choice for me, since I’m not a big fan of JSR-* specs. But now I must admit that JAX-RS 2.x is doing things right: requires almost zero boilerplate code, support auto-discovery of features and prefers convention over configuration like other modern frameworks. Since the spec is still young, it’s hard to find good tutorials and kick-off projects with some working code. I created jersey2-starter project on GitHub which can be used as starting point for your own production-ready RESTful service. In this post I’d like to cover how to implement and integration test your own validation constraints of REST resources.

Custom constraints

One of the issues which bothers me when coding REST in Java is littering your class model with annotations. Suppose you want to build a simple Todo list REST service, when using Jackson, validation and Spring Data, you can easily end up with this as your entity class:

@Document
public class Todo {
    private Long id;
    @NotNull
    private String description;
    @NotNull
    private Boolean completed;
    @NotNull
    private DateTime dueDate;

    @JsonCreator
    public Todo(@JsonProperty("description") String description, @JsonProperty("dueDate") DateTime dueDate) {
        this.description = description;
        this.dueDate = dueDate;
        this.completed = false;
    }
    // getters and setters
}

Your domain model is now effectively blured by messy annotations almost everywhere. Let’s see what we can do with validation constraints (@NotNulls). Some may say that you could introduce some DTO layer with own validation rules, but it conflicts for me with pure REST API design, which stands that you operate on resources which should map to your domain classes. On the other hand - what does it mean that Todo object is valid? When you create a Todo you should provide a description and due date, but what when you’re updating? You should be able to change any of description, due date (postponing) and completion flag (marking as done) - but you should provide at least one of these as valid modification. So my idea is to introduce custom validation constraints, different ones for creation and modification:

@Target({TYPE, PARAMETER})
@Retention(RUNTIME)
@Constraint(validatedBy = ValidForCreation.Validator.class)
public @interface ValidForCreation {
    //...
    class Validator implements ConstraintValidator<ValidForCreation, Todo> {
    /...
        @Override
        public boolean isValid(Todo todo, ConstraintValidatorContext constraintValidatorContext) {
            return todo != null
                && todo.getId() == null
                && todo.getDescription() != null
                && todo.getDueDate() != null;
        }
    }
}

@Target({TYPE, PARAMETER})
@Retention(RUNTIME)
@Constraint(validatedBy = ValidForModification.Validator.class)
public @interface ValidForModification {
    //...
    class Validator implements ConstraintValidator<ValidForModification, Todo> {
    /...
        @Override
        public boolean isValid(Todo todo, ConstraintValidatorContext constraintValidatorContext) {
            return todo != null
                && todo.getId() == null
                && (todo.getDescription() != null || todo.getDueDate() != null || todo.isCompleted() != null);
        }
    }
}

And now you can move validation annotations to the definition of a REST endpoint:

@POST
@Consumes(APPLICATION_JSON)
public Response create(@ValidForCreation Todo todo) {...}

@PUT
@Consumes(APPLICATION_JSON)
public Response update(@ValidForModification Todo todo) {...}

And now you can remove those NotNulls from your model.

Integration testing

There are in general two approaches to integration testing:

  • test is being run on separate JVM than the app, which is deployed on some other integration environment
  • test deploys the application programmatically in the setup block.

Both of these have their pros and cons, but for small enough servoces, I personally prefer the second approach. It’s much easier to setup and you have only one JVM started, which makes debugging really easy. You can use a generic framework like Arquillian for starting your application in a container environment, but I prefer simple solutions and just use emdedded Jetty. To make test setup 100% production equivalent, I’m creating full Jetty’s WebAppContext and have to resolve all runtime dependencies for Jersey auto-discovery to work. This can be simply achieved with Maven resolved from Shrinkwrap - an Arquillian subproject:

    WebAppContext webAppContext = new WebAppContext();
    webAppContext.setResourceBase("src/main/webapp");
    webAppContext.setContextPath("/");
    File[] mavenLibs = Maven.resolver().loadPomFromFile("pom.xml")
                .importCompileAndRuntimeDependencies()
                .resolve().withTransitivity().asFile();
    for (File file: mavenLibs) {
        webAppContext.getMetaData().addWebInfJar(new FileResource(file.toURI()));
    }
    webAppContext.getMetaData().addContainerResource(new FileResource(new File("./target/classes").toURI()));

    webAppContext.setConfigurations(new Configuration[] {
        new AnnotationConfiguration(),
        new WebXmlConfiguration(),
        new WebInfConfiguration()
    });
    server.setHandler(webAppContext);

(this Stackoverflow thread inspired me a lot here)

Now it’s time for the last part of the post: parametrizing our integration tests. Since we want to test validation constraints, there are many edge paths to check (and make your code coverage close to 100%). Writing one test per each case could be a bad idea. Among the many solutions for JUnit I’m most convinced to the Junit Params by Pragmatists team. It’s really simple and have nice concept of JQuery-like helper for creating providers. Here is my tests code (I’m also using builder pattern here to create various kinds of Todos):

@Test
@Parameters(method = "provideInvalidTodosForCreation")
public void shouldRejectInvalidTodoWhenCreate(Todo todo) {
    Response response = createTarget().request().post(Entity.json(todo));

    assertThat(response.getStatus()).isEqualTo(BAD_REQUEST.getStatusCode());
}

private static Object[] provideInvalidTodosForCreation() {
    return $(
        new TodoBuilder().withDescription("test").build(),
        new TodoBuilder().withDueDate(DateTime.now()).build(),
        new TodoBuilder().withId(123L).build(),
        new TodoBuilder().build()
    );
}

OK, enough of reading, feel free to clone the project and start writing your REST services!