P4J strives to provide a clean and full wrapping of the Pterodactyl REST API for Java.
P4J fully wraps the application and the client API for the Pterodactyl panel.
NOTE: This is an unofficial wrapper. Do not expect the Pterodactyl community to provide support for this wrapper.
⚠️ My Discord account was unexpectedly disabled. While I work to regain access, you can find me on Telegram here.
Please make sure you are verifying that commits from my GitHub user are signed using my GPG key.
Creating the PteroApplication or PteroClient object is done via the PteroBuilder class. Depending on your use case, the PteroApplication/PteroClient object is created by calling createApplication or createClient. Make sure to set your application URL and token as necessary.
Application Example:
PteroApplication api = PteroBuilder.createApplication("https://pterodactyl.app", "abc123");Client Example:
PteroClient api = PteroBuilder.createClient("https://pterodactyl.app", "xyz321");Reading all the users:
public class UserReader
{
public static void main(String[] args)
{
PteroApplication api = PteroBuilder.createApplication("https://pterodactyl.app", "abc123");
api.retrieveUsers().forEachAsync(user ->
{
System.out.println(user.getFullName());
return true;
});
}
}Creating a server:
public class ServerCreator
{
public static void main(String[] args)
{
PteroApplication api = PteroBuilder.createApplication("https://pterodactyl.app", "abc123");
Nest nest = api.retrieveNestById("1").execute();
Location location = api.retrieveLocationById("1").execute();
ApplicationEgg egg = api.retrieveEggById(nest, "3").execute();
Map<String, EnvironmentValue<?>> map = new HashMap<>();
map.put("SERVER_JARFILE", EnvironmentValue.of("server.jar"));
map.put("VERSION", EnvironmentValue.of("1.8.8"));
PteroAction<ApplicationServer> action = api.createServer()
.setName("My Server")
.setDescription("Super awesome wrapper")
.setOwner(api.retrieveUserById("1").execute())
.setEgg(egg)
.setLocation(location)
.setAllocations(1L)
.setDatabases(0L)
.setCPU(0L)
.setDisk(3L, DataType.GB)
.setMemory(1L, DataType.GB)
.setDockerImage("quay.io/pterodactyl/core:java")
.setPort(25565)
.startOnCompletion(false)
.setEnvironment(map);
ApplicationServer server = action.execute();
}
}Reading live console output:
public class MyApp extends ClientSocketListenerAdapter
{
public static void main(String[] args)
{
PteroClient api = PteroBuilder.createClient("https://pterodactyl.app", "xyz321");
// if there isn't another thread running, this won't execute. you'll need to grab the server synchronously
api.retrieveServerByIdentifier("39f09a87").map(ClientServer::getWebSocketBuilder)
.map(builder -> builder.addEventListeners(new MyApp())).executeAsync(WebSocketBuilder::build);
}
@Override
public void onAuthSuccess(AuthSuccessEvent event)
{
// if the server is running, this will trigger wings to send the entire console history from the current session
event.getWebSocketManager().request(WebSocketManager.RequestAction.LOGS);
}
@Override
public void onOutput(OutputEvent event)
{
// this will output everything from the console
System.out.println(event.getLine());
}
@Override
public void onConsoleOutput(ConsoleOutputEvent event)
{
// this will output everything from the console related to the game
System.out.println(event.getLine());
}
@Override
public void onInstallOutput(InstallOutputEvent event)
{
// this will output everything from the console related to the egg install/docker
System.out.println(event.getLine());
}
@Override
public void onStatsUpdate(StatsUpdateEvent event)
{
System.out.println(String.format("Memory Usage: %s/%s", event.getMemoryFormatted(DataType.MB), event.getMaxMemoryFormatted(DataType.MB)));
}
}Starting a server:
public class ServerStarter
{
public static void main(String[] args)
{
PteroClient api = PteroBuilder.createClient("https://pterodactyl.app", "xyz321");
api.retrieveServerByIdentifier("39f09a87").flatMap(ClientServer::start).executeAsync();
}
}PteroAction is designed to make request handling simple.
It provides lazy request handling by offering asynchronous callbacks and synchronous execution.
This gives the user with a variety of patterns to use when making a request. The recommended approach is to use the asynchronous methods whenever possible.
The interface also supports several operators to improve quality of life:
mapAllows you to convert the result of a PteroAction to a different valueflatMapAllows you to chain another PteroAction on the result of the previous onedelayDelays execution of the previous PteroAction
Example:
public void startServer(String identifier) {
System.out.println("Starting server in 5 seconds...")
client.retrieveServerByIdentifier(identifier) // retrieve the client server
.delay(5, TimeUnit.SECONDS) // wait 5 seconds
.flatMap(ClientServer::start) // start the server
.executeAsync(__ -> System.out.println("Starting server " + identifier + " now"));
}P4J handles rate limiting from Pterodactyl by keeping track of requests, pausing execution when the limit is hit, and finishing the remaining requests when the limit is lifted.
P4J can do this by keeping a queue of requests that are waiting to be executed. When P4J is not being rate limited, it will continue to poll requests and execute.
When queuing requests with execute(), there can only be one request in the queue concurrently.
Each of the following requests will be handled in order.
However, requests queued with executeAsync() will be handled unordered due to the asychronous nature.
With this approach, there can be an "unlimited" number of pending requests waiting
to be handled when it is convenient for P4J.
Queuing requests asynchronously is generally faster than a synchronous approach, which is why the former is preferred to the latter.
Latest Version:
Be sure to replace the VERSION key below with the one of the versions shown above!
Maven
<dependency>
<groupId>com.mattmalec</groupId>
<artifactId>Pterodactyl4J</artifactId>
<version>VERSION</version>
</dependency><repository>
<id>mattmalec-repo</id>
<url>https://repo.mattmalec.com/repository/releases</url>
</repository>
Gradle
dependencies {
implementation 'com.mattmalec:Pterodactyl4J:VERSION'
}
repositories {
maven {
url = 'https://repo.mattmalec.com/repository/releases'
}
}The builds are distributed using a Nexus instance
Pterodactyl4J uses SLF4J to log its messages.
That means you should add some SLF4J implementation to your build path in addition to P4J. If no implementation is found, following message will be printed to the console on startup:
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
P4J currently offers a fallback logger if no SLF4J implementation is present. I strongly recommend you use one though, as it improves speed and allows you to customize the output.
The most popular implementations are Log4j 2 and Logback
For general troubleshooting, you can view some troubleshooting steps in the examples (this will be soon moved to the wiki).
If you need help, or just want to talk with myself and other developers, you can join the Pterodactyl4J Discord server.
Alternatively, if you need help outside of P4J, you can join the Pterodactyl Discord server.
The docs are currently incomplete, but will have everything you need to know in order to use the wrapper once they are finished.
You can find them on Jenkins or they can be accessed directly here.
If you want to contribute to Pterodactyl4J, make sure to base your branch off the develop branch and create your PR into that same branch.
It is recommended to get in touch with myself before opening Pull Requests (either through an issue or on Discord).
This project requires Java 8.
All dependencies are managed automatically by Gradle.
- OkHttp
- Version: 3.13.0
- Github
- Maven Repository
- org.json
- Version: 20160810
- Github
- Maven Repository
- slf4j-api
- Version: 1.7.32
- Website
- Maven Repository
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent