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The core library that many of the ODK tools are built around. It's written in Java, implements the ODK XForms spec, and runs on mobile devices and cloud servers. βœ¨πŸ—βœ¨

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ODK JavaRosa

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JavaRosa is a Java library for rendering forms that are compliant with ODK XForms spec. It is at the heart of many of the ODK tools. ODK JavaRosa is a fork of JavaRosa 1.0 that has been modified to NOT run on J2ME devices. The key differences are:

  • Regularly updated to ensure spec compliance
  • KoBo additional instance defn. and filter paths
  • remember all bind attributes and any additional attributes on <input>, <select>, <group>, etc. statements
  • numerous enhancements and contributions from SurveyCTO and others.
  • J2ME sub-projects removed

ODK JavaRosa is part of ODK, a free and open-source set of tools which help organizations author, field, and manage mobile data collection solutions. Learn more about the ODK project and its history here and read about example ODK deployments here.

Setting up your development environment

  1. Fork the javarosa project (why and how to fork)

  2. Clone your fork of the project locally. At the command line:

     git clone https://github.com/YOUR-GITHUB-USERNAME/javarosa
    

We recommend using IntelliJ IDEA for development. On the welcome screen, click Import Project, navigate to your javarosa folder, and select the build.gradle file. Use the defaults through the wizard. Once the project is imported, IntelliJ may ask you to update your remote Maven repositories. Follow the instructions to do so.

Building the project

To build the project, go to the View menu, then Tool Windows > Gradle. build will be in javarosa > Tasks > build > build. Double-click build to package the application. This Gradle task will now be the default action in your Run menu.

To package a jar, use the jar Gradle task.

Running benchmarks

JavaRosa can be used to parse and fill very large forms on inexpensive devices and so it's important to keep an eye on performance. Benchmarks using JMH and the JMH Gradle plugin have been introduced to compare relative performance as code changes are made. We have found that running these benchmarks with the jmh Gradle task or through IntelliJ can produce inconsistent results. The most reliable way we have found to run them is to first build a jar with the jmhJar Gradle task and then to run the jar:

    java -jar build/libs/javarosa-jmh.jar ChildVaccination

This also makes it easy to selectively run a subset of benchmarks by including a regular expression as an argument. In the example above, only benchmarks that include the text "ChildVaccination" will be executed. Run java -jar build/libs/javarosa-jmh.jar -h to see other JMH configuration options.

While benchmarks can help identify relative performance improvements or regressions, they are not always a reliable proxy for how code will perform in a realistic context. Profiling is helpful for identifying parts of the code that are worth analyzing and optimizing as well as to validate that any performance changes have the intended effects.

Contributing code

Any and all contributions to the project are welcome. ODK JavaRosa is used across the world primarily by organizations with a social purpose so you can have real impact!

If you're ready to contribute code, see the contribution guide.

Downloading builds

Per-commit debug builds can be found on CircleCI. Login with your GitHub account, click the build you'd like, then find the JAR in the Artifacts tab under $CIRCLE_ARTIFACTS.

Publishing the jar to OSSRH and Maven Central

Project maintainers have the private keys to upload signed jars to Sonatype's OSS Repository Hosting (OSSRH) service which is then synced to Maven's Central Repository. This process is outlined here.

While Gradle is the default build tool for all ODK tools (including this one), Maven is used for for publishing the jar because OSSRH's Gradle support is unreliable (e.g., snapshots don't always update). This means version and dependency changes must be made in both build.gradle and pom.xml.

Deviations from OSSRH's documentation are that maintainers use gpg2 v2.1 and greater (not gpg), the latest versions of the Maven plugins in pom.xml, and a secrets.xml file that include the GPG home directory, key name, and pass phrase. All that is needed in the GPG home directory is private-keys-v1.d and pubring.gpg.

<!-- secrets.xml -->
<settings>
    <servers>
        <server>
            <id>ossrh</id>
            <username>getodk</username>
            <password>very-secure-password</password>
        </server>
    </servers>
    <profiles>
        <profile>
            <id>ossrh</id>
            <activation>
                <activeByDefault>true</activeByDefault>
            </activation>
            <properties>
                <gpg.executable>/path/to/gpg2</gpg.executable>
                <gpg.homedir>/path/to/javarosa/gpg/folder</gpg.homedir>
                <gpg.keyname>1234ABCD</gpg.keyname>
                <gpg.passphrase>very-secure-passphrase</gpg.passphrase>
            </properties>
        </profile>
    </profiles>
</settings>

Official releases are built by @yanokwa using AdoptOpenJDK v1.8.x.

To generate official signed releases, you'll need the GPG folder, GPG passwords, a configured secrets.xml file.

  1. Update the version in build.gradle and pom.xml and merge the changes to master.
    • Use x.x.x-SNAPSHOT for snapshots releases and x.x.x for production releases.
  2. Run mvn -v to confirm the Java version and vendor used to build the release.
  3. In the repo folder, run mvn -s secrets.xml clean deploy to publish.
    • If successful, both snapshots and production releases will appear in OSSRH here.
    • Production releases are automatically synced to Central here a few hours later.

Don't forget to update the build.gradle files in any downstream tools (e.g., ODK Collect, ODK Briefcase) to the newest version!

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The core library that many of the ODK tools are built around. It's written in Java, implements the ODK XForms spec, and runs on mobile devices and cloud servers. βœ¨πŸ—βœ¨

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