The runtimes are built using Gradle. The file settings.gradle lists the images that are build by default. To build all those images, run the following command.
You can optionally build a specific image by modifying the Gradle command. For example:
The build will produce Docker images such as
actionloop-python-v3.7 and will also tag the same image with the
whisk/ prefix. The latter is a convenience, which if you're testing with a local OpenWhisk stack, allows you to skip pushing the image to Docker Hub.
The image will need to be pushed to Docker Hub if you want to test it with a hosted OpenWhisk installation.
The Gradle build parameters
dockerRegistry can be configured for your Docker Registery. Make usre you are logged in first with the
docker CLI to login. The following assume you will substitute
$DOCKER_USER with an appropriate value.
docker login --username $DOCKER_USER
Now build, tag and push the image accordingly.
./gradlew distDocker -PdockerImagePrefix=$DOCKER_USER -PdockerRegistry=docker.io
You can now use this image as an OpenWhisk action. For example, to use the image
actionloop-python-v3.7 as an action runtime, you would run the following command.
wsk action update myAction myAction.py --docker $DOCKER_USER/actionloop-python-v3.7
There are suites of tests that are generic for all runtimes, and some that are specific to a runtime version. To run all tests, there are two steps.
First, you need to create an OpenWhisk snapshot release. Do this from your OpenWhisk home directory.
Now you can build and run the tests in this repository.
Gradle allows you to selectively run tests. For example, the following command runs tests which match the given pattern and excludes all others.
./gradlew :tests:test --tests *ActionLoopContainerTests*
This action runtime enables developers to create AI Services with OpenWhisk. It comes with preinstalled libraries useful for running machine learning and deep learning inferences. Read more about this runtime here.
Follow these steps to import the project into your IntelliJ IDE.