5.7 KiB
Spark Development Guidelines
Architecture
Root is a Maven multi-module project:
corecontains the main Spark desktop app and startup logic.plugins/*are optional runtime extensions that Spark provides by default.emoticonscontains the smiles packs (zip artifacts).distributionhas the InstallJ installer/distribution packaging configuration.
Main entry point is org.jivesoftware.launcher.Startup defined in core/pom.xml manifest.
Internationalization
New localized strings should be added to src/main/resources/i18n/spark_i18n.properties.
Use SparkRes class for accessing localized strings and images.
Technology Stack
The project is written for Java 11 as a baseline. Most of the XMPP logic is handled by the Smack library. UI code is Swing-based and styled with FlatLaf. It uses some legacy SwingX components that should be avoided in new code. Do not refactor the UI into a different framework.
Build and Configuration
Environment Requirements
- JDK: Java 11 or newer.
- Maven: 3.9.x or newer.
Building and Test
Spark is a multi-module Maven project. To build the entire project from the root:
- Run a full build from repo root:
mvn clean verify - Run the main application from core:
cd core && mvn exec:java - Build and package only the
core:cd core && mvn clean verify - Run core tests:
cd core && mvn test
Testing
This is primarily a GUI project, so many changes may not need heavy unit testing. However, add tests for any non-trivial logic, formatting helpers, data transformations, and bug fixes. Run tests for related code changes and before committing after larger changes.
Running Tests
Tests are primarily located in the core module. To run all tests in the core module:
mvn test -pl core
To run a specific test class:
mvn test -Dtest=JavaVersionTest -pl core
Adding New Tests
- Place tests in the corresponding package under
core/src/test/java. - Use JUnit 4 (the project's current testing framework).
- Example test structure:
package org.jivesoftware.spark.util;
import org.junit.Test;
import static org.junit.Assert.assertTrue;
public class MyNewTest {
@Test
public void testSomething() {
assertTrue(true);
}
}
Code Style
Use Java 11 language features.
Avoid using var in new code unless it clearly improves readability.
Prefer explicit types for public APIs and complex expressions.
Preserve existing package structure under org.jivesoftware.spark because it is an API used by plugins.
Plugin packages should be prefixed with com.jivesoftware.spark.plugin e.g. package com.jivesoftware.spark.plugin.myplugin;
Code Formatting
The project has legacy code formatted with tabs, use of final for local variables and parameters.
Use modern code formatting conventions for new code and when changing an existing code reformat the method that is changed.
Then gradually the code is easier to read and maintain.
If after formatting there was more that 40% of the code changed, then it is worth reformatting the whole method,
and commit it with commit message ClassName.methodName: reformat.
After that, apply the new changes so in the commit history it would be easier to determine where it was reformat or refactoring and where it was functional changes.
Follow these formatting rules:
- Indentation: 4 spaces.
- Braces: Opening and closing braces for classes and methods are usually placed on the same line.
public void myMethod() { // ... } - Naming: Standard Java naming conventions (PascalCase for classes, camelCase for methods/variables).
- Final Variables: don't use
finalfor local variables or parameters when they are effectively final.
JavaDocs
Keep JavaDocs concise.
If a method already has an obvious description, refine it and remove unnecessary @param and @return tags.
Before:
/**
* Gets the {@link PreferenceManager} instance.
*
* @return the PreferenceManager instance.
*/
public static PreferenceManager getPreferenceManager() {
return preferenceManager;
}
After:
/**
* Get the {@link PreferenceManager} instance.
*/
public static PreferenceManager getPreferenceManager() {
return preferenceManager;
}
Use SparkManager when possible
The SparkManager has many useful methods.
Use it to get global singletons and managers such as connection and MultiUserChatManager, etc.
Before:
var mucManager = MultiUserChatManager.getInstanceFor(SparkManager.getConnection());
After:
var mucManager = SparkManager.getMucManager();
Logging
Use the org.jivesoftware.spark.util.log.Log class for logging:
Log.error("The operation failed", e);
Log.debug("Debug message");
Optimizations
Try to use more optimized code even if this may reduce readability.
If we have in the same method multiple calls to the same method that returns the same value
e.g. SparkManager.getSessionManager() then call it only once and save the result to a variable:
Before:
SparkManager.getConnection().addAsyncStanzaListener(packetListener, presenceFilter);
SparkManager.getConnection().removeAsyncStanzaListener(packetListener);
After:
Connection connection = SparkManager.getConnection();
connection.addAsyncStanzaListener(packetListener, presenceFilter);
connection.removeAsyncStanzaListener(packetListener);
Plugin Development
Spark has a robust plugin system. Each plugin is located in the plugins/ directory and contains its own pom.xml and plugin.xml metadata.
Refer to the Sparkplug Development Guide for more details.
Plugins should use their own Res class to load resources: translations and icons.