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Stable #81

Merged
merged 7 commits into from
Sep 30, 2024
Merged

Stable #81

merged 7 commits into from
Sep 30, 2024

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HumairAK
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openshift-ci bot commented Sep 30, 2024

[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by:
Once this PR has been reviewed and has the lgtm label, please ask for approval from humairak. For more information see the Kubernetes Code Review Process.

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@HumairAK HumairAK merged commit 4fd0b09 into opendatahub-io:stable Sep 30, 2024
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@dsp-developers
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Commit Checker results:

**NOTE**: These are the results of the commit checker scans. 
If these are not commits from upstream kfp, then please ensure
you adhere to the commit checker formatting
commitchecker verson unknown
Validating 0 commits between 0f96e42b1bd0968e898f6912a7b23f0a1285c6db...93be5817ad7cf36a10373cc070866ef43edb3c4d

1 similar comment
@dsp-developers
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Commit Checker results:

**NOTE**: These are the results of the commit checker scans. 
If these are not commits from upstream kfp, then please ensure
you adhere to the commit checker formatting
commitchecker verson unknown
Validating 0 commits between 0f96e42b1bd0968e898f6912a7b23f0a1285c6db...93be5817ad7cf36a10373cc070866ef43edb3c4d

@dsp-developers
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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-81
DSP DRIVER: quay.io/opendatahub/ds-pipelines-driver:pr-81
DSP LAUNCHER: quay.io/opendatahub/ds-pipelines-launcher:pr-81
Persistence Agent: quay.io/opendatahub/ds-pipelines-persistenceagent:pr-81
Scheduled Workflow Manager: quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-81
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-81

@dsp-developers
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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-81.yaml:

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: pr-81
spec:
  dspVersion: v2
  apiServer:
    image: "quay.io/opendatahub/ds-pipelines-api-server:pr-81"
    argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-81"
    argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-81"
  persistenceAgent:
    image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-81"
  scheduledWorkflow:
    image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-81"
  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-81"
  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/81/head
git checkout -b pullrequest 93be5817ad7cf36a10373cc070866ef43edb3c4d
oc apply -f dspa.pr-81.yaml

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

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3 participants