fix(backend): fixes "cannot save parameter" error message. Fixes #9678 (#10459)

[hbelmiro]

Resolves https://issues.redhat.com/browse/RHOAIENG-1629

Cherry picked from kubeflow#10459

How to test

Deploy and run https://github.com/opendatahub-io/data-science-pipelines-operator/blob/main/config/samples/v2/dspa-simple/dspa_simple.yaml with the quay.io/opendatahub/ds-pipelines-driver:pr-20 driver image.

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: sample
spec:
  dspVersion: v2
  objectStorage:
    minio:
      deploy: true
      image: 'quay.io/opendatahub/minio:RELEASE.2019-08-14T20-37-41Z-license-compliance'
  mlpipelineUI:
    image: quay.io/opendatahub/ds-pipelines-frontend:latest
  apiServer:
    argoDriverImage: quay.io/opendatahub/ds-pipelines-driver:pr-20

[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-20
DSP DRIVER: quay.io/opendatahub/ds-pipelines-driver:pr-20
DSP LAUNCHER: quay.io/opendatahub/ds-pipelines-launcher:pr-20
Persistence Agent: quay.io/opendatahub/ds-pipelines-persistenceagent:pr-20
Scheduled Workflow Manager: quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-20
MLMD Server: quay.io/opendatahub/ds-pipelines-metadata-grpc:pr-20
MLMD Envoy Proxy: quay.io/opendatahub/ds-pipelines-metadata-envoy:pr-20
UI: quay.io/opendatahub/ds-pipelines-frontend:pr-20

[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-20.yaml:

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: pr-20
spec:
  dspVersion: v2
  apiServer:
    image: "quay.io/opendatahub/ds-pipelines-api-server:pr-20"
    argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-20"
    argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-20"
  persistenceAgent:
    image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-20"
  scheduledWorkflow:
    image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-20"
  mlmd:  
    deploy: true  # Optional component
    grpc:
      image: "quay.io/opendatahub/ds-pipelines-metadata-grpc:pr-20"
    envoy:
      image: "quay.io/opendatahub/ds-pipelines-metadata-envoy:pr-20"
  mlpipelineUI:
    deploy: true  # Optional component 
    image: "quay.io/opendatahub/ds-pipelines-frontend:pr-20"
  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/20/head
git checkout -b pullrequest 90a92f9394cf04df339c3e3775cf621b78c65f22
oc apply -f dspa.pr-20.yaml

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

[DharmitD]

/lgtm

[gregsheremeta]

/lgtm

/approve

[openshift-ci]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: gregsheremeta, hbelmiro

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