gatesn / barista

an opinionated java server library

barista

An opinionated library to simplify making Java services and helping developers focus on business logic instead of server configuration and setup. By default, Barista listens on port 8443 and enables TLS, using var/security/key.pem as the private key and var/security/trust.pem as the trust store and CA certificates.

Depend on barista via Maven Central at coordinates com.markelliot.barista:barista:<version>.

Endpoints

Barista serves HTTP endpoints that:

• use an HTTP method that's one of GET, PUT, POST, DELETE
• serve requests on a path-like HTTP route
• support path, querystring, header, and cookie parameters
• support enforced user authentication

Generally, users of Barista use a code generator to make endpoint implementation, and Barista comes with a built-in code generator. The built-in system works using Java's annotation processors.

To configure the annotation processor in Gradle:

dependencies {
    implementation "com.markelliot.barista:barista-annotations"
    annotationProcessor "com.markelliot.barista:barista-annotations"
    annotationProcessor "com.markelliot.barista:barista-processor"
}

Then, use one of @Http.{Get, Put, Post, Delete} to label any method in any class. Labeled methods from the same class will produce a class in the same package with the name <OriginalClassName>Endpoints that implements com.markelliot.barista.endpoints.Endpoints and collects labeled methods from OriginalClassName. <OriginalClassName>Endpoints comes with a single, public constructor that accepts an implementation of OriginalClassName.

To register these endpoints with Barista, construct <OriginalClassName>Endpoints, pass it an instance of OriginalClassName, and then call Server.builder()...endpoints(<instanceOfEndpoints>).

Customize endpoint function by:

• HTTP method: select the matching annotation

• Require authentication: include a method argument with type VerifiedAuthToken

• Use a path parameter: specify path parameters in the route using {placeholder}, name arguments to the method with names that correspond to placeholder.

• Use a querystring, header or cookie parameter: specify additional arguments to the method and annotate the arguments with @Query("queryParamName") String param, @Header or @Cookie. Use Optional<String> to allow these parameters to be optional and String to require the presence of the parameters.

  (Note: today, querystring, header and cookie parameters may only be of type String)

• Use up to one unannotated non-path parameter as the body; Barista's code-generator will attempt to deserialize incoming requests to the type of this parameter.

  (Generics are not presently supported. InputStream is not presently supported.)

• The return type of the method dictates behavior of the endpoint:

  • HttpRedirect: redirect according to the logic encoded by an instance of HttpRedirect
  • void: send an empty response with HTTP status 201 if the method does not error when executed
  • any concrete T: serialize the response with status code 200

  Future contemplated return types include:

  • HttpResponse: a richer return format that includes a body, headers and cookies
  • InputStream: a producer of raw bytes to write into the response

Some endpoint examples may be found in the processor tests.

An example that returns the JSON string "Hello, world!":

final class GreeterResource {
    /** To greet by name, call GET /greet?name=Your+Name */
    @Http.Get("/greet")
    String greet(@Query Optional<String> name) {
        return "Hello, " + name.orElse("world") + "!";
    }
}

Integrating with Conjure

Barista is compatible with Conjure, and conjure-undertow generated endpoint classes. To use Conjure endpoints, take an additional dependency on barista-conjure:

dependencies {
    implementation "com.markelliot.barista:barista-conjure"
}

And use the ConjureAdapter class to go from conjure-undertow generated classes to Barista-compatible endpoints:

UndertowRuntime conjureRuntime = ConjureUndertowRuntime.builder().build();
Endpoints endpoints = ConjureAdapter.adapt(
        SampleServiceEndpoints.of(new DefaultSampleService()), conjureRuntime);
Server.builder()
        .endpoints(endpoints)
        ...

Creating and Starting the Server

Then, to create and start the server, one can use the Server builder to register the endpoint, correctly set allowed CORS origins and then ultimately start the server:

Authz authz = Authz.denyAll(); // not using authz, so this is a no-op implementation
Server.builder()
    .authz(authz)
    .endpoints(new GreeterResourceEndpoints(new GreeterResource()))
    .allowOrigin("https://example.com")
    .allowOrigin("http://localhost:8080") // for development
    .start();