Cherry-pick of (#11714): Ignore empty PULL_NUMBER environment variables in SDK tests

[mprahl]

Description of your changes:

Cherry-pick of kubeflow@a7ec34f.

On pushes to the master branch, PULL_NUMBER was an empty string.

Checklist:

• You have signed off your commits
• The title for your pull request (PR) should follow our title convention. Learn more about the pull request title convention used in this repository.

[mprahl]

/cc @hbelmiro

[hbelmiro]

/lgtm

[openshift-ci]

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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-146
DSP DRIVER: quay.io/opendatahub/ds-pipelines-driver:pr-146
DSP LAUNCHER: quay.io/opendatahub/ds-pipelines-launcher:pr-146
Persistence Agent: quay.io/opendatahub/ds-pipelines-persistenceagent:pr-146
Scheduled Workflow Manager: quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-146
MLMD Server: quay.io/opendatahub/mlmd-grpc-server:latest
MLMD Envoy Proxy: registry.redhat.io/openshift-service-mesh/proxyv2-rhel8:2.3.9-2
UI: quay.io/opendatahub/ds-pipelines-frontend:pr-146

[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-146.yaml:

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: pr-146
spec:
  dspVersion: v2
  apiServer:
    image: "quay.io/opendatahub/ds-pipelines-api-server:pr-146"
    argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-146"
    argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-146"
  persistenceAgent:
    image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-146"
  scheduledWorkflow:
    image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-146"
  mlmd:  
    deploy: true  # Optional component
    grpc:
      image: "quay.io/opendatahub/mlmd-grpc-server:latest"
    envoy:
      image: "registry.redhat.io/openshift-service-mesh/proxyv2-rhel8:2.3.9-2"
  mlpipelineUI:
    deploy: true  # Optional component 
    image: "quay.io/opendatahub/ds-pipelines-frontend:pr-146"
  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 git@github.com:opendatahub-io/data-science-pipelines.git
cd data-science-pipelines/
git fetch origin pull/146/head
git checkout -b pullrequest f455c53d9030a1ef4f7b5380b82dfa99f8da883a
oc apply -f dspa.pr-146.yaml

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