Welcome to dogecoindarkj

The dogecoindarkj library is a Java implementation of the DogecoinDark protocol, which allows it to maintain a wallet and send/receive transactions without needing a local copy of the DogecoinDark Core Wallet. It comes with full documentation and some example apps showing how to use it. This is a port of bitcoinj. All credits for the hard work goes to the bitcoinj team. The DogecoinDark developer (sunerok) did the adaption to the DogecoinDark protocol.

Technologies

• Java 6 for the core modules, Java 8 for everything else
• Maven 3+ - for building the project
• Orchid - for secure communications over TOR
• Google Protocol Buffers - for use with serialization and hardware communications

Getting started

To get started, it is best to have the latest JDK and Maven installed. The HEAD of the master branch contains the latest development code and various production releases are provided on feature branches.

Building from the command line

To perform a full build use

mvn clean package

You can also run

mvn site:site

to generate a website with useful information like JavaDocs.

The outputs are under the target directory.

Building from an IDE

Alternatively, just import the project using your IDE. IntelliJ has Maven integration built-in and has a free Community Edition. Simply use File | Import Project and locate the pom.xml in the root of the cloned project source tree.

Example applications

These are found in the examples module.

Forwarding service

This will download the block chain and eventually print a DogecoinDark address that it has generated.

If you send coins to that address, it will forward them on to the address you specified.

  cd examples
  mvn exec:java -Dexec.mainClass=com.dogecoindark.dogecoindarkj.examples.ForwardingService -Dexec.args="<insert a dogecoindark address here>"

Note that this example app does not use checkpointing, so the initial chain sync will be pretty slow. You can make an app that starts up and does the initial sync much faster by including a checkpoints file; see the documentation for more info on this technique.

Where next?

Now you are ready to follow the tutorial.

Feel free to donate to development!

DOGED: DPNC2H2pYUCSebQ992GyeRTRuWw3hCTBwD

BTC: 1N8fxvJTzDNpANGoV8JMQABoVnymnQFK92