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WildFly Cloud Testsuite

Cloud test suite for WildFly

Usage

Prerequisites

As mentioned in the run the tests section, we have two sets of tests. One targeting Kubernetes, and the other targeting OpenShift.

Prerequisites for Kubernetes

  • Install docker or podman and kubectl.

  • If you are using podman you first need to configure it :

    systemctl --user enable --now podman.socket

    and check the status

    systemctl status --user podman.socket

    This should return the socket path that you need to specify for minikube to start: something like /run/user/${GUID}/podman/podman.sock. You need to set the environement variable DOCKER_HOST to the proper URL (don't forget une unix:// prefix).

    export DOCKER_HOST=unix:///run/user/1000/podman/podman.sock

    Also until at least until Minikube v1.26, podman is ran using sudo (cf. Minikube podman page).

    Thus you need to add your current user to the /etc/sudoers file by appending the following line to it: ${usernamme} ALL=(ALL) NOPASSWD: /usr/bin/podman.

  • Install and start minikube, making sure it has enough memory

    minikube start --memory='4gb'

    If you are using podman you should specify the driver like this

    minikube start --memory='4gb' --driver=podman

  • Install Minikube registry

    minikube addons enable registry

  • In order to push to the minikube registry and expose it on localhost:5000:

    # On Mac:
docker run --rm -it --network=host alpine ash -c "apk add socat && socat TCP-LISTEN:5000,reuseaddr,fork TCP:$(minikube ip):5000"

# On Linux:
kubectl port-forward --namespace kube-system service/registry 5000:80 &

# On Windows:
kubectl port-forward --namespace kube-system service/registry 5000:80
docker run --rm -it --network=host alpine ash -c "apk add socat && socat TCP-LISTEN:5000,reuseaddr,fork TCP:host.docker.internal:5000"

    On linux you might need to add this registry as an insecure one by editing the file /etc/containers/registries.conf and adding the following lines:

    [[registry]]
location="localhost:5000"
insecure=true
Fedora 37+ Set Up

The following steps should get you up and running on Fedora:

  • Install podman
dnf install podman podman-docker
  • Edit the /etc/containers/registries.conf and add the following:
[[registry]]
location="localhost:5000"
insecure=true
  • Start minikube
minikube start --container-runtime=containerd
  • Enable addons in minikube
minikube addons enable registry
  • Expose port 5000 for the tests
kubectl port-forward --namespace kube-system service/registry 5000:80
  • Run the tests
mvn clean verify

Prerequisites for Openshift

  • Install oc
  • Set up an OpenShift instance (Note: This is currently only tested on the sandbox on https://developers.redhat.com)
  • Log in to the OpenShift instance via oc login and create/select the project you want to use.
  • Run the following steps. We will need the OPENSHIFT_IMAGE_REGISTRY and OPENSHIFT_NS environment variables later.
# Get the project
export OPENSHIFT_NS=$(oc project -q)

# Log in to the registry
oc registry login

# Grab the route to the registry
OPENSHIFT_IMAGE_REGISTRY=$(oc registry info)

# Log in to the docker registry (brownie points to whoever can explain why the above 'oc registry login' won't suffice)
docker login -u openshift -p $(oc whoami -t)  $OPENSHIFT_IMAGE_REGISTRY

Run the tests

There are two maven profiles, which are run independently:

  • kubernetes-tests - This is active by default, and runs the tests tagged with @Tag(WildFlyTags.KUBERNETES). These tests target Kubernetes, running on Minikube as outlined above.
  • openshift-tests - Runs the tests tagged with @Tag(WildFlyTags.OPENSHIFT). These tests target OpenShift.

NOTE! Since logging in to OpenShift via oc overwrites the kubectl login configuration, it is impossible to run both of these profiles at the same time. You will get errors!

To log out of OpenShift and back in to Kubernetes, execute the following steps:

  • oc logout
  • If minikube is running, execute minikube stop
  • Then start minikube. If you have set up minikube before, this is simply minikube start. Otherwise, you need to
    follow the steps from above.

How to run the Openshift tests, builds on how to run the Kubernetes tests.

Kubernetes tests

mvn -Pimages clean install

By default, the tests assume that you are connecting to a registry on localhost:5000, which we set up earlier. If you wish to override the registry, you can use the following system properties:

  • wildfly.cloud.test.docker.host - to override the host
  • wildfly.cloud.test.docker.port - to override the port
  • dekorate.docker.registry - to override the whole <host>:<port> in one go.

-Pimages causes the images defined in the /images sub-directories to be built. To save time, when developing locally, once you have built your images, omit -Pimages.

See the Adding images section for more details about the creation of the images.

Openshift tests

This is much the same as running the Kubernetes tests, but now we need to specify the openshift-tests profile and use the dekorate.docker.registry system property to point to the OpenShift registry (I am unaware of any sensible defaults) we determined earlier. Also, we need to use dekorate.docker.group to specify the project we are logged into:

mvn clean install -Popenshift-tests -Ddekorate.docker.registry=$OPENSHIFT_IMAGE_REGISTRY -Ddekorate.docker.group=$OPENSHIFT_NS

Obtaining pod logs and standalone.xml contents

You may want to see the logs of the pods involved in the test. If you specify

  • -Dwildfly.test.print.logs - the logs of all pods for all tests will be printed to the console
  • -Dwildfly.test.print.logs=MyTest1,MyTest2 - the logs for all pods for the two specified test classes will be printed to the console. The simple name of the class is used. Logs for pods for other test classes will not be printed to the console.

Similarly, you can obtain the standalone.xnl from the main WildFly pod:

  • -Dwildfly.test.print.server-config - outputs the standalone.xml for all tests
  • -Dwildfly.test.print.server-config=MyTest1,MyTest2 - outputs the standalone.xml for the listed tests.
  • The simple name of the class is used. Logs for pods for other test classes will not be printed to the console.

Note that if a failure happens in a test, we will always attempt to display the logs and the server configuration.

Adding tests

Adding tests for OpenShift is more or less identical to adding tests for Kubernetes. The only difference is the names of the annotations used. We will go more into depth for how to add Kubernetes tests, and then cover how the OpenShift tests differ.

NOTE! If possible to test on Kubernetes, that option should be used. We presently only want to test on OpenShift if the test/application needs functionality that is not available on Kubernetes.

Adding Kubernetes tests

To add a test, at present, you need to create a new Maven module under tests. Note that we use a few levels of folders to group tests according to area of functionality.

We use the Failsafe plugin to run these tests. Thus:

  • the src/main/java, src/main/resources and src/main/webapp folders will contain the application being tested.
  • the src/test/java folder contains the test, which works as a client test (similar to @RunAsClient in Arquillian).

Note that we use the dekorate.io framework with some extensions for the tests. This means using @KubernetesApplication to define the application. dekorate.io's annotation processor will create the relevant YAML files to deploy the application to Kubernetes. To see the final result that will be deployed to Kubernetes, it is saved in target/classes/META-INF/dekorate/kubernetes.yml

A minimum @KubernetesApplication is:

@KubernetesApplication(imagePullPolicy = Always)

Out of the box the application processor of the WildFly Cloud Tests framework adds the typical WildFly ports 8080 and 9990. So, the above trimmed down example results in an effective configuration of

@KubernetesApplication(
        ports = {
                @Port(name = "web", containerPort = 8080),
                @Port(name = "admin", containerPort = 9990)
        },
        imagePullPolicy = Always)

Of course more ports and environment variables can be added as needed, but it is not necssary to add the above ones.

The @KubernetesApplication annotation is used as input for the generated kubernetes.yml.

On the test side, we use dekorate.io's Junit 5 test based framework to run the tests. To enable this, add the @WildFlyKubernetesIntegrationTest annotation to your test class. This contains the same values as dekorate.io's @KubernetesIntegrationTest as well as some more fields for additional control. These include:

  • namespace - the namespace to install the application into, if the default namespace is not desired. This applies to both the namespace used for the application, as well as any additional resources needed. Additional resources are covered later in this document.
  • kubernetesResources - locations of other Kubernetes resources. See this section for more details.

The framework will generate a Dockerfile from the provided information at target/docker/Dockerfile. You must select the name of the image to use (see Adding Images) and set it in a property called wildfly.cloud.test.base.image.name in the pom for the Maven module containing your test.

The @Tag(KUBERNETES) is needed on the test class, to make sure it runs when running the kubernetes-tests profile.

Note that at the moment, due to dekorateio/dekorate#1000, you need to add a Dockerfile to the root of the Maven module containing the test. This can be empty.

dekorate.io allows you to inject KubernetesClient, KubernetesList (for Kubernetes resources) and Pod instances into your test.

Additionally, the WildFly Cloud Tests framework, allows you to inject an instance of TestHelper initialised for the test being run. This contains methods to run actions such as REST calls using port forwarding to the relevant pods. It also contains methods to invoke CLI commands (via bash) in the pod, as well as read the contents of files, and execute Bash commands.

The WildFlyCloudTestCase base class is set up to have the TestHelper injected, and also waits for the server to properly start.

Further customisation of test images

The above works well for simple tests. However, we might need to add config maps, secrets, other pods running a database, operators and so on. Also, we might need to run a CLI script when preparing the runtime server before we start it.

Adding a CLI script on startup

Some tests need to adjust the server configuration. To do this add a CLI script at src/main/cli-script/init.cli and it will be included in the created Docker image and run when launching the server.

Adding additional 'simple' Kubernetes resources

What we have seen so far creates an image for the application. If we want to add more resources, we need to specify those ourselves. If these are simple resources which are installed right away, we can leverage dekorate's built in mechanism.

We do this in two steps:

  • First we create a src/main/resources/kubernetes/kubernetes.yml file containing the Kubernetes resources we want to add. Some examples will follow.
  • Next we need to point dekorate to the kubernetes.yml by specifying @GeneratorOptions(inputPath = "kubernetes") on the application class. The kubernetes in this case refers to the folder under the src/resources directory. ** As mentioned previously, for OpenShift tests you need to name this file openshift.yml instead of kubernetes.yml.

If you do these steps, the contents of the src/main/resources/kubernetes/kubernetes.yml will be merged with what is output from the dekorate annotations on your test application. To see the final result that will be deployed to Kubernetes, it is saved in target/classes/META-INF/dekorate/kubernetes.yml as mentioned previously.

The following examples show the contents of src/main/resources/kubernetes/kubernetes.yml to add commonly needed resources.

Note that if you have more than one resource, you need to wrap them in a Kubernetes list. There is a bug in the dekorate parser which prevents us from using the --- separator which is often used to define several resources in the yaml file without wrapping in a list.

An example of a Kubernetes list to specify multiple resources:

apiVersion: v1
kind: List
items:
  # First resource
  - apiVersion: v1
    kind: ...
    ...
  # Second resource
  - apiVersion: v1
    kind: ...
    ...

Adding additional 'complex' Kubernetes resources

We sometimes need to install operators, or other complicated yaml to provide functionality needed by our tests. Due to the need to wrap these resources in a Kubernetes List, reworking these, often third-party, yaml files is not really practical. When using these 'complex' resources, the WildFly Cloud Test framework deals with deploying them, so there is no need to wrap the resources in a Kubernetes list.

In other cases, we need to make sure that these other resources are up and running before we deploy our application.

An example of defining additional 'complex' resources for your test follows:

@WildFlyKubernetesIntegrationTest(
  kubernetesResources = {
    @KubernetesResource(definitionLocation = "https://example.com/an-operator.yaml"),
    @KubernetesResource(
      definitionLocation = "src/test/container/my-resources.yml",
      additionalResourcesCreated = {
        @Resource(
          type = ResourceType.DEPLOYMENT, 
          name = "installed-behind-the-scenes")
      }
   )
})
public class MyTestIT {
    //...
}

The above installs two resources. The location can either be a URL or a file relative to the root of the maven module containing the test.

When deploying each yaml file, it waits for all pods and deployments contained in the file to be brought up before deploying the next. The test application is deployed once all the additional resources have been deployed and are ready.

The @KubernetesResource.additionalResourcesCreated attribute used in the second entry covers a corner case where the yaml file doesn't explicitly list everything that provides the full functionality of what is being installed. In this case, the resources contained in the yaml install a deployment called installed-behind-the-scenes which we need to wait for before this set of resources can be considered ready for use.

Adding config maps

The contents of the config map are specified in src/main/resources/kubernetes/kubernetes.yml. @GeneratorOptions(inputPath = "kubernetes") specifies the directory under src/main/resources/. For Kubernetes the file must be called kubernetes.yml and for OpenShift the file must be called openshift.yml.

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-config-map
data:
  ordinal: 500
  config.map.property: "From config map"

To mount the config map as a directory, you need the following additions to the @KubernetesApplication annotation on your application class:

@KubernetesApplication(
        ...
        configMapVolumes = {@ConfigMapVolume(configMapName = "my-config-map", volumeName = "my-config-map", defaultMode = 0666)},
        mounts = {@Mount(name = "my-config-map", path = "/etc/config/my-config-map")})
@GeneratorOptions(inputPath = "kubernetes")

This sets up a config map volume, and mounts it under /etc/config/my-config-map. If you don't want to do this you can e.g. bind the config map entries to environment variables. See the dekorate documentation for more details.

Adding secrets

The contents of the secret are specified in src/main/resources/kubernetes/kubernetes.yml. @GeneratorOptions(inputPath = "kubernetes") specifies the directory under src/main/resources/. For Kubernetes the file must be called kubernetes.yml and for OpenShift the file must be called openshift.yml.

apiVersion: v1
kind: Secret
metadata:
  name: my-secret
type: Opaque
data:
  secret.property: RnJvbSBzZWNyZXQ=

The value of secret.property is specified by base64 encoding it:

$echo -n 'From secret' | base64
RnJvbSBzZWNyZXQ=

To mount the secret as a directory, you need the following additions to the @KubernetesApplication annotation on your application class:

@KubernetesApplication(
        ...
        secretVolumes = {@SecretVolume(secretName = "my-secret", volumeName = "my-secret", defaultMode = 0666)},
        mounts = {@Mount(name = "my-secret", path = "/etc/config/my-secret")})
@GeneratorOptions(inputPath = "kubernetes")

This sets up a secret volume, and mounts it under /etc/config/my-secret. If you don't want to do this you can e.g. bind the secret entries to environment variables. See the dekorate documentation for more details.

Config Placeholder Replacement

In some cases we don't have the full set of information needed at compile time. We can deal with this with placeholders and using an implementation of ConfigPlaceholderReplacer to deal with the replacement.

Example use:

// Add an env var with a placeholder
@KubernetesApplication(
        envVars = {
                @Env(name = "POD_URL", value = "$URL$")
        },
        imagePullPolicy = Always)
@ApplicationPath("")
public class EnvVarsOverrideApp extends Application {
}


// Add a config placeholder replacement in the test
@WildFlyKubernetesIntegrationTest(
    placeholderReplacements = {
        @ConfigPlaceholderReplacement(
            placeholder = "$URL$", 
            replacer = SimpleReplacer.class)})
public class MyTestCaseIT extends WildFlyCloudTestCase {
    ...

The placeholderReplacements will inspect every line of both the generated target/classes/META-INF/dekorate/kubernetes.yml as well as any resources specified via @WildFlyKubernetesIntegrationTest.kubernetesResources and call an instance of SimpleReplacer when performing the replacement.

An example implementation of a replacer:

import io.dekorate.testing.WithKubernetesClient;
import io.fabric8.kubernetes.client.KubernetesClient;
import org.junit.jupiter.api.extension.ExtensionContext;
import org.wildfly.test.cloud.common.ConfigPlaceholderReplacer;

public class SimpleReplacer implements ConfigPlaceholderReplacer, WithKubernetesClient {
    @Override
    public String replace(ExtensionContext context, String placeholder, String line) {
        if (line.contains("$URL$")) {
            KubernetesClient client = getKubernetesClient(context);
            String url = client.getMasterUrl().toExternalForm();
            line = line.replace("$URL$", url);
        }
        return line;
    }
}

In this case it will replace the $URL$ placeholder we used for the value of the POD_URL environment variable with a value determined by the Kubernetes client. The WithKubernetesClient.getKubernetesClient() method gets the client for us in this case.

'Manual' tests

The tests in the tests/manual folder will not run automatically, as they need external systems to be set up before running. Still, they are good to verify our images work before doing releases of them.

See the README for each test for how to run them. Of course if you add such a test, add a README! Link all tests to the tests/manual/README.md file, along with the profile required to run it. tests/manual/README.md contains some further instructions about how to run these tests on CI.

Ideally, each 'manual' test will be runnable on CI. Add instruhctions for setting up secrets and whatever else is needed to a 'CI Setup' section in the test README, and modify the .github/workflows/wildfly-cloud-tests-callable.yml workflow file to include the test.

Adding OpenShift Tests

Adding OpenShift tests is the same as adding Kubernetes tests. The only difference is the annotations used. The below table shows the mappings between the two.

Kubernetes OpenShift Description
@KubernetesApplication @OpenshiftApplication Add to the 'application' class in src/main/java
@WildFlyKubernetesIntegrationTest @WildFlyOpenshiftIntegrationTest Add to the test class in src/test/java
@Tag(WildFlyTags.KUBERNETES @Tag(WildFlyTags.OPENSHIDT Add to the test class in src/test/java. This is used to pick it out for the kubernetes-tests or openshift-tests profile respectively

Adding images

If you need a server with different layers from the already existing ones, you need to add a new Maven module under the images/ directory. Simply choose the layers you wish to provision your server with in the wildfly-maven-plugin plugin section in the module pom.xml, and the images parent pom will take care of the rest. See any of the existing poms under images/ for a fuller example.

The name of the image becomes wildfly-cloud-test-image/<artifact-id>:latest where <artifact-id> is the Maven artifactId of the pom creating the image. The image simply contains an empty server, with no deployments. The tests create images containing the deployments being tested from this image.

Once you have added a new image, add it to:

  • The dependencyManagement section of the root pom
  • The dependencies section of tests/pom.xml

The above ensures that the image will be built before running the tests.

The current philosophy is to have images providing a minimal amount of layers needed for the tests. In other words, we will probably/generally not want to provision the full WildFly server.

By default the created images are based on quay.io/wildfly/wildfly-runtime:latest. If you wish to use another image (e.g. to prevalidate a staged runtime image) you can do that by passing in the image.name.wildfly.runtime system property.

Testing new runtime images

To test a new runtime image (for example one that is staged before a release), simply pass in the name of the image in the image.name.wildfly.runtime system property.

Also, the GitHub Actions CI job allows you to pass this in as a parameter when manually triggering the workflow. You will likely need to run such custom jobs in your own fork of the repository since only admins can trigger workflows.