tekton.dev_v1alpha1_task_kf-ready.yaml

apiVersion: tekton.dev/v1alpha1
kind: Task
metadata:
  annotations:
    sidecar.istio.io/inject: "false"
  name: kf-ready
  namespace: kf-ci
spec:
  inputs:
    params:
    - description: Cluster pattern to select the KF cluster to run on Default to be from master branch.
      name: testing-cluster-pattern
      type: string
    - description: Location to search for test clusters e.g. us-central1 or us-central1-f
      name: testing-cluster-location
      type: string
    - default: kf-ready
      description: Name to give the test results file.
      name: test-name
      type: string
    - description: GCS bucket and directory artifacts will be uploaded to. Should be in the form of 'gs://'
      name: artifacts-gcs
      type: string
    - default: gcr.io/kubeflow-ci/test-worker-py3@sha256:a749d7fa4d77466c892a206d3adf0909e86717da898dbd12378e6cbed59ffbd3
      description: The docker image to run the tests in. Should contain a version of kubeflow/testing/py in /srcCache that we want to use.
      name: test-image
      type: string
    resources:
    - name: kfctl-repo
      type: git
  steps:
  - args:
    - -m
    - kubeflow.testing.get_kf_testing_cluster
    - get-credentials
    - --pattern=$(inputs.params.testing-cluster-pattern)
    - --location=$(inputs.params.testing-cluster-location)
    - --output=/workspace/cluster.info.yaml
    command:
    - python
    env:
    - name: PYTHONPATH
      value: /workspace/$(inputs.resources.kfctl-repo.name)/py:/srcCache/kubeflow/testing/py
    image: $(inputs.params.test-image)
    name: get-credential
  - env:
    - name: PYTHONPATH
      value: /workspace/$(inputs.resources.kfctl-repo.name)/py:/srcCache/kubeflow/testing/py
    image: $(inputs.params.test-image)
    name: kf-ready
    script: |
      #!/usr/bin/env bash
      set -x
      # Get the name of the cluster
      export KFNAME=$(yq r /workspace/cluster.info.yaml cluster.name)
      # I think -s mean stdout/stderr will print out to aid in debugging.
      # Failures still appear to be captured and stored in the junit file.
      # Test suite name needs to be unique based on parameters
      pytest kf_is_ready_test.py \
        -s \
        --log-cli-level=info \
        --log-cli-format='%(levelname)s|%(asctime)s|%(pathname)s|%(lineno)d| %(message)s' \
        --junitxml=/workspace/artifacts/junit_kf-ready.xml \
        --app_name=$(KFNAME) \
        --timeout=180 \
        -o junit_suite_name=test_kf_ready_blueprint
      echo test finished.
    workingDir: /workspace/$(inputs.resources.kfctl-repo.name)/py/kubeflow/kfctl/testing/pytests
  - args:
    - -m
    - kubeflow.testing.tekton_client
    - junit-parse-and-upload
    - --artifacts_dir=/workspace/artifacts
    - --output_gcs=$(inputs.params.artifacts-gcs)
    command:
    - python
    env:
    - name: PYTHONPATH
      value: /workspace/$(inputs.resources.kfctl-repo.name)/py:/srcCache/kubeflow/testing/py
    image: $(inputs.params.test-image)
    name: copy-artifacts