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WIP: PR GHAction attempt 2 #6
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A set of new images have been built to help with testing out this PR: The Data Science Pipelines team recommends testing this using the Data Science Pipelines Operator. To use and deploy a DSP stack with these images using this Operator, after deploying the DSPO above, apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
name: pr-6
spec:
apiServer:
image: "quay.io/gmfrasca/ds-pipelines-api-server:pr-6"
artifactImage: "quay.io/gmfrasca/ds-pipelines-artifact-manager:pr-6"
persistenceAgent:
image: "quay.io/gmfrasca/ds-pipelines-persistenceagent:pr-6"
scheduledWorkflow:
image: "quay.io/gmfrasca/ds-pipelines-scheduledworkflow:pr-6"
crdViewer:
deploy: true # Optional component
image: "quay.io/gmfrasca/ds-pipelines-viewercontroller:pr-6"
mlmd:
deploy: true # Optional component
grpc:
image: "quay.io/gmfrasca/ds-pipelines-metadata-grpc:pr-6"
envoy:
image: "quay.io/gmfrasca/ds-pipelines-metadata-envoy:pr-6"
writer:
image: "quay.io/gmfrasca/ds-pipelines-metadata-writer:pr-6"
mlpipelineUI:
deploy: true # Optional component
image: "quay.io/gmfrasca/ds-pipelines-frontend:pr-6"
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/6/head
git checkout -b pullrequest 59ab33bb737414c8adfba11ee2706e762d6c036d
oc apply -f dspa.pr-6.yaml More instructions here on how to deploy and test a Data Science Pipelines Application. |
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Change to PR detected. A new PR build was completed. |
PR was re-opened. |
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 apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
name: pr-6
spec:
apiServer:
image: "quay.io/gmfrasca/ds-pipelines-api-server:pr-6"
artifactImage: "quay.io/gmfrasca/ds-pipelines-artifact-manager:pr-6"
persistenceAgent:
image: "quay.io/gmfrasca/ds-pipelines-persistenceagent:pr-6"
scheduledWorkflow:
image: "quay.io/gmfrasca/ds-pipelines-scheduledworkflow:pr-6"
crdViewer:
deploy: true # Optional component
image: "quay.io/gmfrasca/ds-pipelines-viewercontroller:pr-6"
mlmd:
deploy: true # Optional component
grpc:
image: "quay.io/gmfrasca/ds-pipelines-metadata-grpc:pr-6"
envoy:
image: "quay.io/gmfrasca/ds-pipelines-metadata-envoy:pr-6"
writer:
image: "quay.io/gmfrasca/ds-pipelines-metadata-writer:pr-6"
mlpipelineUI:
deploy: true # Optional component
image: "quay.io/gmfrasca/ds-pipelines-frontend:pr-6"
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/6/head
git checkout -b pullrequest 62be4c1d0f45d5f5c09bd893332665bd9d370b59
oc apply -f dspa.pr-6.yaml More instructions here on how to deploy and test a Data Science Pipelines Application. |
Change to PR detected. A new PR build was completed. |
PR was re-opened. |
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 apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
name: pr-6
spec:
apiServer:
image: "quay.io/gmfrasca/ds-pipelines-api-server:pr-6"
artifactImage: "quay.io/gmfrasca/ds-pipelines-artifact-manager:pr-6"
persistenceAgent:
image: "quay.io/gmfrasca/ds-pipelines-persistenceagent:pr-6"
scheduledWorkflow:
image: "quay.io/gmfrasca/ds-pipelines-scheduledworkflow:pr-6"
crdViewer:
deploy: true # Optional component
image: "quay.io/gmfrasca/ds-pipelines-viewercontroller:pr-6"
mlmd:
deploy: true # Optional component
grpc:
image: "quay.io/gmfrasca/ds-pipelines-metadata-grpc:pr-6"
envoy:
image: "quay.io/gmfrasca/ds-pipelines-metadata-envoy:pr-6"
writer:
image: "quay.io/gmfrasca/ds-pipelines-metadata-writer:pr-6"
mlpipelineUI:
deploy: true # Optional component
image: "quay.io/gmfrasca/ds-pipelines-frontend:pr-6"
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/6/head
git checkout -b pullrequest 942ffb40f7726f80acfebecb9bfb696f06a93f75
oc apply -f dspa.pr-6.yaml More instructions here on how to deploy and test a Data Science Pipelines Application. |
Change to PR detected. A new PR build was completed. |
attempt 2