UPSTREAM: <carry>: add ability to filter by pipeline id/ver

[HumairAK]

Internal slack for more context:

• https://redhat-internal.slack.com/archives/C05U1Q749PV/p1704481478720589

Relevant:
opendatahub-io/data-science-pipelines-operator#467

[openshift-ci]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: HumairAK

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• OWNERS [HumairAK]

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[dsp-developers]

A set of new images have been built to help with testing out this PR:
API Server: quay.io/opendatahub/ds-pipelines-api-server:pr-9
DSP DRIVER: quay.io/opendatahub/ds-pipelines-driver:pr-9
DSP LAUNCHER: quay.io/opendatahub/ds-pipelines-launcher:pr-9
Persistence Agent: quay.io/opendatahub/ds-pipelines-persistenceagent:pr-9
Scheduled Workflow Manager: quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-9
MLMD Server: quay.io/opendatahub/ds-pipelines-metadata-grpc:pr-9
MLMD Envoy Proxy: quay.io/opendatahub/ds-pipelines-metadata-envoy:pr-9
UI: quay.io/opendatahub/ds-pipelines-frontend:pr-9

[dsp-developers]

An OCP cluster where you are logged in as cluster admin is required.

The Data Science Pipelines team recommends testing this using the Data Science Pipelines Operator. Check here for more information on using the DSPO.

To use and deploy a DSP stack with these images (assuming the DSPO is deployed), first save the following YAML to a file named dspa.pr-9.yaml:

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: pr-9
spec:
  dspVersion: v2
  apiServer:
    image: "quay.io/opendatahub/ds-pipelines-api-server:pr-9"
    argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-9"
    argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-9"
  persistenceAgent:
    image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-9"
  scheduledWorkflow:
    image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-9"
  mlmd:  
    deploy: true  # Optional component
    grpc:
      image: "quay.io/opendatahub/ds-pipelines-metadata-grpc:pr-9"
    envoy:
      image: "quay.io/opendatahub/ds-pipelines-metadata-envoy:pr-9"
  mlpipelineUI:
    deploy: true  # Optional component 
    image: "quay.io/opendatahub/ds-pipelines-frontend:pr-9"
  objectStorage:
    minio:
      deploy: true
      image: 'quay.io/opendatahub/minio:RELEASE.2019-08-14T20-37-41Z-license-compliance'

Then run the following:

cd $(mktemp -d)
git clone [email protected]:opendatahub-io/data-science-pipelines.git
cd data-science-pipelines/
git fetch origin pull/9/head
git checkout -b pullrequest db5b90c662668968f528ece7748c67870a6e99b4
oc apply -f dspa.pr-9.yaml

More instructions here on how to deploy and test a Data Science Pipelines Application.

[HumairAK]

example of request in postman: