This project is a sample implementation of the Restbucks application described in the book REST in Practice by Jim Webber, Savas Parastatidis and Ian Robinson. It's a showcase for bringing different Spring eco-system technologies together to implement a REST web service. The application uses HAL as the primary representation format.

From the command line do:

git clone https://github.com/olivergierke/spring-restbucks.git
cd spring-restbucks
mvn clean package
java -jar target/*.jar

The application ships with the HAL browser embedded, so simply browsing to http://localhost:8080/browser/index.html will allow you to explore the web service.

Note, that the curie links in the representations are currently not backed by any documents served but they will be in the future. Imagine simple HTML pages being served documenting the individual relation types.

For the usage inside an IDE do the following:

1. Make sure you have an Eclipse with m2e installed (preferably STS).

2. Install Lombok.

   1. Download it from the project page.
   2. Run the JAR (double click or java -jar …).
   3. Point it to your Eclipse installation, run the install.
   4. Restart Eclipse.

3. Import the checked out code through File > Import > Existing Maven Project…

The project uses:

• Spring Boot
• Spring (MVC)
• Spring Data JPA
• Spring Data REST
• Spring HATEOAS
• Spring Plugin
• Spring Security
• Spring Session

The implementation consists of mainly two parts, the order and the payment part. The Orders are exposed as REST resources using Spring Data RESTs capability to automatically expose Spring Data JPA repositories contained in the application. The Payment process and the REST application protocol described in the book are implemented manually using a Spring MVC controller (PaymentController).

Here's what the individual projects used contribute to the sample in from a high-level point of view:

The Spring Data repository mechanism is used to reduce the effort to implement persistence for the domain objects to the declaration of an interface per aggregate root. See OrderRepository and PaymentRepository for example. Beyond that, using the repository abstract enables the Spring Data REST module to do its work.

We're using Spring Data REST to expose the OrderRepository as REST resource without additional effort.

Spring HATEOAS provides a generic Resource abstraction that we leverage to create hypermedia-driven representations. Spring Data REST also leverages this abstraction so that we can deploy ResourceProcessor implementations (e.g. PaymentorderResourceProcessor) to enrich the representations for Order instance with links to the PaymentController. Read more on that below in the Hypermedia section.

The final important piece is the EntityLinks abstraction that allows to create Link instance in a type-safe manner avoiding the repetition of URI templates and parts all over the place. See PaymentLinks for example usage.

The Spring Plugin library provides means to collect Spring beans by type and exposing them for selection based on a selection criterion. It basically forms the foundation for the EntityLinks mechanism provided in Spring HATEOAS and our custom extension RestResourceEntityLinks.

Spring Boot's default way of packaging creates an uber-JAR containing all dependencies to run the app standalone. This usually doesn't matter much but if you're continuously building your application and deploy them to a repository, this can easily add up a lot of space as you re-package the same dependencies over and over.

The Thin Launcher extension to the Spring Boot Maven plugin changes that to just write an index file of the dependencies needed and resolving them via Maven Central on first application run. This allows the artifact size to reduce dramatically, ~65kB for RESTBucks. To see how this works, do the following:

$ git checkout thin-launcher
$ mvn clean package

You should see the JAR file be created in target and see that it's under 100kB in size. The app can now be run as usual:

$ java -jar target/*.jar

The dependencies are resolved at first run and installed into your local Maven repository by default. Read more about various flags to tweak that behaviour in the Thin Launcher's readme. An easy way to just list the classpath is running this command.

$ java -jar --thin.classpath target/*.jar

This will print the classpath instead of running the application.

The spring-session branch contains additional configuration to secure the service using Spring Security, HTTP Basic authentication and Spring Session's HTTP header based session strategy to allow clients to obtain a security token via the X-Auth-Token header and using that for subsequent requests.

If you check out the branch and run the sample you should be able to follow this interaction (I am using HTTPie here)

$ http :8080
HTTP/1.1 401 Unauthorized
…
WWW-Authenticate: Basic realm="Spring RESTBucks"

You can now authenticate using the default credentials (the password password is configured in application.properties).

$ http :8080 --auth=user:password
HTTP/1.1 200 OK
Content-Type: application/hal+json;charset=UTF-8
–
X-Auth-Token: ef005d62-b69b-4675-b920-d340a238e857

Now you can use the presented auth token in further requests:

$ http :8080 X-Auth-Token:ef005d62-b69b-4675-b920-d340a238e857
HTTP/1.1 200 OK
Content-Type: application/hal+json;charset=UTF-8
–

The restdocs branch contains the test for the order payment process augmented with setup to generate Asciidoctor snippets documenting the executed requests and expectations on the responses. These snippets are included from the general Asciidoctor documents in src/main/asciidoc, turned into HTML and packaged into the application itself during the build (run mvn clean package). The docs are then pointed to by a CURIE link in the HAL response (see Restbucks.curieProvider()) so that they appear in the docs column in the HAL browser (run mvn spring-boot:run and browse to http://localhost:8080) the service ships.

The use of the Spring Cloud Contract extension also causes WireMock stubs to be generated by those tests and placed into generated-snippets/stubs/…. The pay-order subfolder for the indivdual setups:

• How to package the stubs up so that they can be used by a client project?
• How do the client tests select a particular flow to be used for stubbing?
• How to make sure WireMock "understands" the state transitions, i.e. responses to requests to a resource changing based on intermediate requests?
• How to set up WireMock so that the client doesn't necessarily have to select a particular flow to operate against?

The project uses Lombok to reduce the amount of boilerplate code to be written for Java entities and value objects.

A core focus of this sample app is to demonstrate how easy resources can be modeled in a hypermedia driven way. There are two major aspects to this challenge in Java web-frameworks:

1. Creating links and especially the target URL in a clean and concise way, trying to avoid the usage of Strings to define URI mappings and targets and especially the repetition of those. On the server side, we'd essentially like to express "link to the resource that manages Order instances" or "link to the resource that manages a single Order instance.

2. Cleanly separate resource functionality implementation but still allowing to leverage hypermedia to advertise new functionality for resources as the service implementation evolves. This essentially boils down to an enrichment of resource representations with links.

In our sample the core spot these challenges occur is the payment subsystem and the PaymentController in particular.

The repository currently contains an alps branch that is based on a feature branch of Spring Data REST to automatically expose resources that server ALPS metadata for teh resources exposed.

git checkout alps
mvn spring-boot:run
curl http://localhost:8080

This will return:

{
  "_links" : {
    …
    "profile" : {
      "href" : "http://localhost:8080/alps"
    }
  }
}

You can then follow the profile link to access all available ALPS resources, such as the one for orders, a link relation also listed in the response for the root resource.

TODO - complete