dspa_all_fields.yaml

# This file should not be used to deploy a DataSciencePipelinesApplication
# It's main purpose is to show all possible fields that can be configured
# Note that you cannot specify all fields, some are mutually exclusive
# For example, you can only specify either a miniodb deployment or
# externalstorage connection, but not both
apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: sample
  namespace: data-science-project
spec:
  apiServer:
    deploy: true
    image: quay.io/modh/odh-ml-pipelines-api-server-container:v1.18.0-8
    applyTektonCustomResource: true
    archiveLogs: false
    artifactImage: quay.io/modh/odh-ml-pipelines-artifact-manager-container:v1.18.0-8
    cacheImage: registry.access.redhat.com/ubi8/ubi-minimal
    moveResultsImage: busybox
    injectDefaultScript: true
    stripEOF: true
    terminateStatus: Cancelled
    trackArtifacts: true
    dbConfigConMaxLifetimeSec: 120
    collectMetrics: true
    autoUpdatePipelineDefaultVersion: true
    resources:
      requests:
        cpu: 250m
        memory: 500Mi
      limits:
        cpu: 500m
        memory: 1Gi
    # optional (default is: ds-pipeline-artifact-script-${metadata.name})
    # apiserver deployment will fail if the specified custom config does not exist
    # if default name is used, the configmap will be over-written by the operator:

    #  artifactScriptConfigMap:
    #    name: YourConfigMapName
    #    key: "artifact_script"
  persistenceAgent:
    deploy: true
    image: quay.io/modh/odh-ml-pipelines-persistenceagent-container:v1.18.0-8
    numWorkers: 2  # Number of worker for sync job.
    resources:
      requests:
        cpu: 120m
        memory: 500Mi
      limits:
        cpu: 250m
        memory: 1Gi
  scheduledWorkflow:
    deploy: true
    image: quay.io/modh/odh-ml-pipelines-scheduledworkflow-container:v1.18.0-8
    cronScheduleTimezone: UTC
    resources:
      requests:
        cpu: 120m
        memory: 100Mi
      limits:
        cpu: 250m
        memory: 250Mi
  mlpipelineUI:
    deploy: true
    image: quay.io/opendatahub/odh-ml-pipelines-frontend-container:beta-ui
    resources:
      limits:
        cpu: 100m
        memory: 256Mi
      requests:
        cpu: 100m
        memory: 256Mi
    # requires this configmap to be created before hand,
    # otherwise operator will not deploy DSPA
    configMap: ds-pipeline-ui-configmap
  database:
    disableHealthCheck: false
    mariaDB:   # mutually exclusive with externalDB
      deploy: true
      image: registry.redhat.io/rhel8/mariadb-103:1-188
      username: mlpipeline
      pipelineDBName: randomDBName
      pvcSize: 20Gi
      resources:
        requests:
          cpu: 300m
          memory: 800Mi
        limits:
          cpu: "1"
          memory: 1Gi
      # requires this configmap to be created before hand,
      # otherwise operator will not deploy DSPA
      passwordSecret:
        name: ds-pipelines-db-sample
        key: password
#    externalDB:
#      host: mysql:3306
#      port: "8888"
#      username: root
#      pipelineDBName: randomDBName
#      passwordSecret:
#        name: somesecret
#        key: somekey
  objectStorage:
    disableHealthCheck: false
    minio:  # mutually exclusive with externalStorage
      deploy: true
      image: quay.io/opendatahub/minio:RELEASE.2019-08-14T20-37-41Z-license-compliance
      bucket: mlpipeline
      pvcSize: 10Gi
      resources:
        requests:
          cpu: 200m
          memory: 100Mi
        limits:
          cpu: 250m
          memory: 1Gi
      # requires this configmap to be created before hand,
      # otherwise operator will not deploy DSPA
      s3CredentialsSecret:
        secretName: somesecret-sample
        accessKey: AWS_ACCESS_KEY_ID
        secretKey: AWS_SECRET_ACCESS_KEY
#    externalStorage:
#      host: minio.com
#      port: "9092"
#      bucket: mlpipeline
#      scheme: https
#      s3CredentialsSecret:
#        secretName: somesecret-db-sample
#        accessKey: somekey
#        secretKey: somekey
  mlmd:  # Deploys an optional ML-Metadata Component
    deploy: true
    envoy:
      image: quay.io/opendatahub/ds-pipelines-metadata-envoy:1.7.0
      resources:
        limits:
          cpu: 100m
          memory: 256Mi
        requests:
          cpu: 100m
          memory: 256Mi
    grpc:
      image: quay.io/opendatahub/ds-pipelines-metadata-grpc:1.0.0
      port: "8080"
      resources:
        limits:
          cpu: 100m
          memory: 256Mi
        requests:
          cpu: 100m
          memory: 256Mi
    writer:
      image: quay.io/opendatahub/ds-pipelines-metadata-writer:1.1.0
      resources:
        limits:
          cpu: 100m
          memory: 256Mi
        requests:
          cpu: 100m
          memory: 256Mi
status:
  # Reports True iff:
  # * ApiServerReady, PersistenceAgentReady, ScheduledWorkflowReady, DatabaseReady, ObjectStorageReady report True
  # AND
  # * MLPIpelinesUIReady is (Ready: True) OR is (Ready: False && DeploymentDisabled)
  conditions:
    - type: Ready
      status: "True"
      observedGeneration: 4
      lastTransitionTime: '2023-02-02T21:00:00Z'
      reason: MinimumReplicasAvailable
      message: 'some message'
    - type: ApiServerReady
      status: "True"
      observedGeneration: 4
      lastTransitionTime: '2023-02-02T21:00:00Z'
      reason: MinimumReplicasAvailable
      message: 'some message'
    - type: UserInterfaceReady
      status: "True"
      observedGeneration: 4
      lastTransitionTime: '2023-02-02T21:00:00Z'
      reason: MinimumReplicasAvailable
      message: 'some message'
    - type: PersistenceAgentReady
      status: "True"
      observedGeneration: 4
      lastTransitionTime: '2023-02-02T21:00:00Z'
      reason: MinimumReplicasAvailable
      message: 'some message'
    - type: ScheduledWorkflowReady
      status: "True"
      observedGeneration: 4
      lastTransitionTime: '2023-02-02T21:00:00Z'
      reason: MinimumReplicasAvailable
      message: 'some message'
    # Do we need to do this?? API Server application already
    # checks for db/storage connectivity, and pod will fail to come up
    # in such a case.
    - type: DatabaseReady
      status: "True"
      observedGeneration: 4
      lastTransitionTime: '2023-02-02T21:00:00Z'
      reason: DataBaseReady
      message: ''
    - type: ObjectStorageReady
      status: "True"
      observedGeneration: 4
      lastTransitionTime: '2023-02-02T21:00:00Z'
      reason: ObjectStorageReady
      message: ''