Copyright (c) 2023 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved. SPDX-License-Identifier: 0BSD
This is an example of how a Java application would use the Java Binding library to connect to and exercise a DAML model running on a ledger. Since there are three levels of interface available, this example builds a similar application with all three levels.
The application is a simple PingPong
application, which consists of:
- a DAML model with two contract templates,
Ping
andPong
- two parties,
Alice
andBob
The logic of the application is the following:
- The application injects a contract of type
Ping
forAlice
. Alice
sees this contract and exercises the consuming choiceRespondPong
to create a contract of typePong
forBob
.Bob
sees this contract and exercises the consuming choiceRespondPing
to create a contract of typePing
forAlice
.- Points 1 and 2 are repeated until the maximum number of contracts defined in the DAML is reached.
To set a project up:
If you do not have it already, install the DAML SDK by running:
curl https://get.daml.com | sh -s 2.7.0
Use the start script for starting a ledger & the java application:
./start.sh
The code for this example is in the package examples.pingpong.codegen.
The entry point for the Java code is the main class PingPongMain. Look at this class to see:
- how to connect to and interact with the DAML Ledger via the Java Binding library
- how to use the gRPC layer to build an automation for both parties.
- how to streamline interactions with the ledger types by using auto generated data layer.
The main function:
- creates an instance of a
ManagedChannel
connecting to an existing ledger - fetches the ledgerID and packageId from the ledger
- creates
Identifiers
for the Ping and Pong templates - creates and starts instances of PingPongProcessor that contain the logic of the automation
- injects the initial contracts to start the process
The core of the application is the method PingPongProcessor.runIndefinitely().
This method retrieves a gRPC streaming endpoint using the GetTransactionsRequest
request, and then creates a `RxJava <The Underlying Library: RxJava_>`_ StreamObserver
, providing implementations of the onNext
, onError
and onComplete
observer methods. RxJava
arranges that these methods receive stream events asynchronously.
The method onNext is the main driver, extracting the transaction list from each GetTransactionResponse
, and passing in to processTransaction()
for processing. This method, and the method processTransaction()
implements the application logic.
processTransaction() extracts all creation events from the the transaction and passes them to processEvent()
. This produces a list of commands to be sent to the ledger to further the workflow, and these are packages up in a Commands
request and sent to the ledger.
processEvent() takes a transaction event and turns it into a stream of commands to be sent back to the ledger. To do this, it examines the event for the correct package and template (it's a create of a Ping
or Pong
template) and then looks at the receiving part to decide if this processor should respond. If so, an exercise command for the correct choice is created and returned in a Stream
.
In all other cases, an empty Stream
is returned, indication no action is required.
The application prints statements similar to these:
Bob is exercising RespondPong on #1:0 in workflow Ping-Alice-1 at count 0
Alice is exercising RespondPing on #344:1 in workflow Ping-Alice-7 at count 9
The first line shows that:
Bob
is exercising theRespondPong
choice on the contract with ID#1:0
for the workflowPing-Alice-1
.- Count
0
means that this is the first choice after the initialPing
contract. - The workflow ID
Ping-Alice-1
conveys that this is the workflow triggered by the second initialPing
contract that was created byAlice
.
The second line is analogous to the first one.
The codegen
variant of the client application is similar to its grpc
counterpart. Both are written in
a traditional imperative style. What sets them apart is the usage of the generated data layer in the former.
This layer simplifies construction of the ledger api calls and the analysis of the return values.
PingPongMain.createInitialContracts
creates a strongly typed instance of a Ping contract and then embeds it in an equally strongly typedCommandsSubmission
. Then, it uses the built intoProto
methods to convert the request into a wire-readyprotobuf
structure.PingPongProcessor.runIndefinitely
creates a per party inclusive filter by invoking a series of class constructors. Contrast this with the intricate process of defining a filter in the analogous method in thegrpc
variant of the application.PingPongProcessor.processEvent
starts off by extracting common data fields from thegrpc
version of the received events, to be later used for logging purposes. Events are then converted to the corresponding data layer format and passed to the individual template handlers.PingPongProcessor.processPingPong
creates a strongly typed representation of the daml contracts by means of the daml contract companions. A strongly typed instance can be used to create a command representing a desired choice exercise.PingPongProcessor.processTransaction
is responsible for creating a ledger request enveloping the choice exercises and submitting it to the ledger.