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Preflight Usage Examples

Below are detailed examples on how to run preflight in various environments.

Operator Policy

These examples are shown using the Operator policy against an operator bundle (e.g. preflight check operator <bundle>).

You will also need an index image containing your bundle for each of these approaches. See DOCS

As a Binary on Your Workstation

To run preflight on your workstation, you'll first need to download and install the binary to your path.

You will also need:

  • Your bundle image published to a container registry,
  • An Index Image containing your operator's new bundle published to a container registry.
  • A Kubeconfig for a user with cluster-admin privileges to an OpenShift 4.5+ Cluster running Operator Lifecycle Manager.

The preflight tool will use the above to execute the Operator policy against your test asset. With the above in hand, you can execute preflight against your test asset by executing the following.

export KUBECONFIG=/path/to/your/kubeconfig 
export PFLT_INDEXIMAGE=registry.example.org/your-namespace/your-index-image:sometag
preflight check operator registry.example.org/your-namespace/your-bundle-image:sometag

Using Podman (or Docker)

Running preflight in a Podman or Docker container is very similar to running it on your workstation, but you will likely want to leverage a few volume mounts to pass through various artifacts back to your host system for review at a later time.

The below example has had its container-tool abstraced out, but you should be able to run this with either Podman or Docker without issue.

Here, we explicitly set the location in the container where we would like artifacts and logfiles to be written by using the PFLT_ARTIFACTS and PFLT_LOGFILE environment variables. Then we bind host volumes to these locations so that the data will be preserved when the container completes (the container will be deleted after completion due to the --rm flag).

CONTAINER_TOOL=podman
$CONTAINER_TOOL run \
  -it \
  --rm \
  --security-opt=label=disable \
  --env KUBECONFIG=/kubeconfig \
  --env PFLT_LOGLEVEL=trace \
  --env PFLT_INDEXIMAGE=registry.example.org/your-namespace/your-index-image:sometag \
  --env PFLT_ARTIFACTS=/artifacts \
  --env PFLT_CHANNEL=beta \
  --env PFLT_LOGFILE=/artifacts/preflight.log \
  -v /some/path/on/your/host/artifacts:/artifacts \
  -v /some/path/on/your/host/kubeconfig:/kubeconfig:ro \
  quay.io/opdev/preflight:stable check operator registry.example.org/your-namespace/your-bundle-image:sometag

As a Job In OpenShift (or Kubernetes)

You should be able to run preflight as a job in OpenShift without requiring additional privileges or security context constraints.

As with previous examples, you will need to provide preflighta Kubeconfig mapping a user with cluster-admin privileges to an OpenShift cluster that can be used for tests.

In the namespace you will be creating this job, provision a secret with the Kubeconfig:

oc create secret generic test-cluster-kubeconfig --from-file=kubeconfig=/some/path/on/your/host/kubeconfig

Then, create a Job manifest on your system. Note that you will need to substitute:

  • your bundle path in the command array
  • your index image in the env array
  • the volume type for the outputdir volume (if you want to use an alternate storage provider)
echo >> preflight.yaml <<EOF
apiVersion: batch/v1
kind: Job
metadata:
  name: preflight
spec:
  template:
    spec:
      containers:
      - name: preflight
        image: "quay.io/opdev/preflight:stable"
        command: ["preflight", "check", "operator", "registry.example.org/your-namespace/your-bundle-image:sometag"]
        env:
          - name: KUBECONFIG
            value: "/creds/kubeconfig"
          - name: PFLT_LOGLEVEL
            value: trace
          - name: PFLT_INDEXIMAGE
            value: "registry.example.org/your-namespace/your-index-image:sometag"
          - name: PFLT_LOGFILE
            value: "/artifacts/preflight.log"
          - name: PFLT_ARTIFACTS
            value: "/artifacts"
          - name: PFLT_CHANNEL
            value: "beta"
        volumeMounts:
          - name: "outputdir"
            mountPath: "/artifacts"
          - name: "kubeconfig"
            mountPath: "/creds"
      restartPolicy: Never
      volumes:
        - name: "outputdir"
          emptyDir:
            medium: ""
        - name: kubeconfig
          secret:
            secretName: test-cluster-kubeconfig
            optional: false
  backoffLimit: 2
EOF
oc apply -f preflight.yaml

Container Policy

These examples are shown using the Container policy against a container image (e.g. preflight check container <image>). Container policy only runs as a binary on your workstation. Check the latest release for the binary that matches your operating system.

You will also need:

  • Your container image published to a container registry
    • An example would be quay.io/repo-name/container-name:version
  • A Certification Project ID of the project that was set up in Red Hat Partner Connect
    • This value can be obtained from the Overview page's URL
      • For the following example Overview URL of https://connect.redhat.com/projects/1234567890aabbccddeeffgg/overview
        • The Certification Project ID would be: 1234567890aabbccddeeffgg
    • Required for submit
  • A Partner Connect API Key
    • An API Key can be created in Red Hat Partner Connect at the following URL
    • Required for submit
  • A Docker Auth file, can be specified multiple ways
    • If PFLT_DOCKERCONFIG envvar is set, or --docker-config is passed on the command line, this will be used to pull images. If also submitting, the file specified will be sent to Red Hat. If the image under test is on a public registry, there is no need to pass this parameter.

Testing a Container

Running container policy checks against a container iteratively until all tests pass.

preflight check container registry.example.org/your-namespace/your-image:sometag

Submitting a Container's Test Results to Red Hat

Running container policy checks against a container that has passed all tests and results need to be submitted to Red Hat.

preflight check container registry.example.org/your-namespace/your-image:sometag \
--submit \
--pyxis-api-token=abcdefghijklmnopqrstuvwxyz123456 \
--certification-project-id=1234567890a987654321bcde \
--docker-config=/path/to/your/dockerconfig

Testing Container and Passing Parameters in the Config File

To avoid displaying the Pyxis token in the console, you may pass it in the config file. First, add config.yaml in the directory with the Preflight binary

$ cat config.yaml
dockerConfig: path/to/config.json
loglevel: trace
logfile: artifacts/preflight.log
artifacts: artifacts
junit: true
certification_project_id: my_nice_project_id
pyxis_api_token: my_nice_token

and then run Preflight.

preflight \
check container \
your-image:sometag \
--submit

Using Podman on a RHEL host

Here, we explicitly set the location in the container where we would like artifacts and logfiles to be written by using the PFLT_ARTIFACTS and PFLT_LOGFILE environment variables. Then we bind host volumes to these locations so that the data will be preserved when the container completes (the container will be deleted after completion due to the --rm flag). We also make the assumption that the user would like to submit results to Red Hat; meaning PFLT_CERTIFICATION_PROJECT_ID, PFLT_PYXIS_API_TOKEN and PFLT_DOCKERCONFIG need to be provided. Note: The docker config provided to the PFLT_DOCKERCONFIG environment should be from the following command: podman login --username [USERNAME] --password [PASSWORD] --authfile ./temp-authfile.json [REGISTRY]

CONTAINER_TOOL=podman
$CONTAINER_TOOL run \
  -it \
  --rm \
  --security-opt=label=disable \
  --env PFLT_LOGLEVEL=trace \
  --env PFLT_ARTIFACTS=/artifacts \
  --env PFLT_LOGFILE=/artifacts/preflight.log \
  --env PFLT_CERTIFICATION_PROJECT_ID=1234567890a987654321bcde \
  --env PFLT_PYXIS_API_TOKEN=abcdefghijklmnopqrstuvwxyz123456 \
  --env PFLT_DOCKERCONFIG=/temp-authfile.json \
  -v /some/path/on/your/host/artifacts:/artifacts \
  -v ./temp-authfile.json:/temp-authfile.json:ro \
  quay.io/opdev/preflight:stable check container registry.example.org/your-namespace/your-bundle-image:sometag --submit