/axon-labs-chat-application

Axoniq labs chat application getting started's solution

Primary LanguageJava

Axon Lab - Getting Started

So, you're new to Axon and want to get started. Awesome!

Application overview

The main application is called ChatGettingStartedApplication. It's a Spring Boot application with the following main dependencies:

  • Axon (Spring Boot starter)
  • Spring Data JPA
  • Freemarker
  • Web
  • Reactor
  • H2 (Embedded Database)
  • Spring Boot Test
  • Axon Test

There are a few test cases. One will check if the application can start, while the others validate the Aggregate's behavior. They should all fail, as most of the stuff needs yet to be implemented.

Application layout

The application's logic is divided among a number of packages.

  • io.axoniq.labs.chat
    The main package. Contains the Application class with the configuration.
  • io.axoniq.labs.chat.commandmodel
    Contains the Command Model. In our case, just the ChatRoom Aggregate that has been provided to make the project compile.
  • io.axoniq.labs.chat.coreapi
    The so called core api. This is where we put the Commands, Events and Queries. Since commands, events and queries are immutable, we have used Kotlin to define them. Kotlin allows you to concisely define each event, command and query on a single line.
    To make sure you don't waste your precious time, we've implemented these Commands, Events and Queries for you.
  • io.axoniq.labs.chat.query.rooms.messages
    Contains the Projections (also called View Model or Query Model) for the Messages that have been broadcast in a specific room. This package contains both the Event Handlers for updating the Projections, as well as the Query Handlers to read the data.
  • io.axoniq.labs.chat.query.rooms.participants
    Contains the Projection to serve the list of participants in a given Chat Room.
  • io.axoniq.labs.chat.query.rooms.summary
    Contains the Projection to serve a list of available chat rooms and the number of participants.
  • io.axoniq.labs.chat.restapi
    This is the REST Command and Query API to change and read the application's state. API calls here are translated into Commands and Queries for the application to process.

Swagger UI

The application has 'Swagger' enabled. You can use Swagger to send requests.

Visit: http://localhost:8080/swagger-ui/

Note: The Swagger UI does not support the 'Subscription Query' further on in the assignment, as Swagger does not support streaming results. Issuing a regular curl operation, or something along those lines, is recommended to check the Subscription Query.

Note 2: If you are on Intellij IDEA, you can also use the command-request.http and query-request.http files in this project to send requests directly from your IDE. Several defaults have been provided, but feel free to play around here!

H2 Console

The application has the 'H2 Console' configured, so you can peek into the database's contents.

Visit: http://localhost:8080/h2-console
Enter JDBC URL: jdbc:h2:mem:testdb:some_random_string_from_console Check out the run console.
Leave other values to defaults and click 'connect'.

Preparation

Axon Framework works best with AxonServer, and in this sample project we assume that you are using it. AxonServer needs to be downloaded separately. You can run AxonServer as a docker container by running:

docker run -d -p 8024:8024 -p 8124:8124 -p 8224:8224 --name axonserver axoniq/axonserver

Our goal

Basically, the goal is simple: make the tests pass!

But testing isn't the ultimate goal: we want to have an application that we can take into production.

Exercises

Implement the Command Model

First of all, we're going to implement the Command Model. In this application, there is a single Aggregate: ChatRoom. This aggregate processes Commands and produces Events as a result.

The expected behavior has been described in the ChatRoomTest class, using the Axon Test Fixtures.

To make these tests pass, you will need to implement the following command handlers:

  1. The handler for the CreateRoomCommand creates a new instance of a ChatRoom. Therefore, this command handler is a constructor, instead of a regular method. The method should apply (static method on AggregateLifecycle) a RoomCreatedEvent.

    Axon requires a no-arg constructor, we will also need to create one.

    Axon requires one field to be present: the aggregate's identifier. Create a field called roomId of type String, and annotate it with @AggregateIdentifier.

    We will also need to set this field to the correct value. As we are using event sourcing, we must do so in an @EventSourcingHandler. Create one that reacts to the RoomCreatedEvent and sets the roomId to the correct value.

  2. The handler for the JoinRoomCommand should apply a ParticipantJoinedRoomEvent, but only if the joining participant hasn't already joined this room. Otherwise, nothing happens. To do this, we will need to maintain some state. We do this in @EventSourcingHandler, remember? Create the required handlers.

  3. The handler for the LeaveRoomCommand should apply a ParticipantLeftRoomEvent, but only if the leaving participant has joined the room. Otherwise, again, nothing happens. Don't forget to update state in the right location.

  4. Finally, implement the handler for the PostMessageCommand. A participant may only post messages to rooms he/she has joined. Otherwise, an exception is thrown.

    Now, there is only one thing left to do:

  5. We need to tell Axon that we want to configure this class as an Aggregate. Annotate it with @Aggregate to have the Axon Spring Boot Auto-Configuration module configure the necessary components to work with this aggregate.

That's it. All tests should pass now. If not, implement the missing behavior and try again...

Connect the REST API to the Command Bus

We've got a component that can handle commands now. Now, it's time to allow external components to trigger these commands. The CommandController class defines some API endpoints that should trigger commands to be sent.

In Axon, we can use either the Command Bus or the CommandGateway to send commands. The latter has a friendlier API, so we've decided to use that one.

  1. Implement the TODOs in the CommandController class to forward Commands to the Command Bus. Note that the API Endpoint methods declare a return type of Future<...>. The CommandGateway.send() method also returns a Future. This is a nice way to prepare the API layer for asynchronous execution of commands (perhaps later).

  2. The CreateChatRoom API declares an ID as part of the HTTP Entity it expects. Although we generally favor client-generated identifiers, Javascript is notoriously bad at generating random values. Therefore, we would want the roomId to default to a proper randomly generated UUID (use UUID.randomUUID().toString()).

    Note that this API Endpoint returns a Future<String> (as opposed to Future<Void>). Axon returns the identifier of an Aggregate as a result of a Command creating a new Aggregate instance.

That's it! Once you're done, you should be able to start the application and send messages. Remember that Swagger is in place to help with this. Additionally, if you are on Intellij IDEA you can use the command-request.http file to execute some REST operations too.

Note that the queries are not implemented yet. That's fixed in the next step.

Implement the Projections

Now that the application is able to change state, it would be nice to expose that state. This is done in projections.

We need to implement three projections for this application:

  1. The ChatMessageProjection exposes the list of messages for a given chat room. Implement an @EventHandler for the MessagePostedEvent.

    Note that the ChatMessage Entity expects a timestamp. Axon attaches information to Events, which you can access in the Event Handlers. Add an extra parameter: @Timestamp Instant timestamp. Axon will automatically inject the timestamp at which the message was originally created. Use timestamp.toEpochMilli() to convert it to milliseconds-since-epoch.

  2. Implement the @EventHandlers for the RoomParticipantProjection. This projection keeps track of all the participants in each chatroom. You will need to implement an @EventHandler for each of the Events that describe a change in the participants of a room...

  3. The last projection, the RoomSummaryProjection, gives us a summary of all the available chat rooms. The summary contains the name of the room, and the number of participants in it. It's up to you to implement it.

  4. Implement the @QueryHandlers needed to extract data from all the projections. You will need to implement a
    @QueryHandler for each Query defined in core api. So, implement an AllRoomsQuery handler in RoomSummaryProjection, a RoomParticipantsQuery handler in RoomParticipantProjection, and a RoomMessagesQuery handler in ChatMessageProjection.

  5. The projection ChatMessageProjection gives us a list of all the messages in a chat rooms. In order to support a 'Subscription Query' we will need to use the QueryUpdateEmitter in the @EventHandler to send an update for each new chat message.

Connect the REST API to the Query Bus

We've got a component that can handle queries now. Now, it's time to allow external components to trigger these queries. The QueryController class defines some API endpoints that should trigger queries to be sent.

We can use either the QueryBus or the QueryGateway to send queries. The latter has a friendlier API, so we've decided to use that one.

  1. Implement the TODOs in the QueryController class to forward Queries to the QueryBus. Note that the API Endpoint methods declare a return type of Future<...>. The QueryGateway.query() method also returns a Future.
  2. Note that subscribeRoomMessages() endpoint declares a return type of Flux<...>. In this service you can send a Subscription Query, by using the QueryGateway#subscriptionQuery(...) method, instead of a regular query in order to be notified about new messages sent into the room.

When you think you're done, give the application a spin and see what happens... Remember, you can use Swagger or the query-request.http (if you use Intellij IDEA) to test the new endpoints.

Done! Hurrah!