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Fix ml pipeline access from kfp step #2795
Fix ml pipeline access from kfp step #2795
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…yaml Signed-off-by: Krzysztof Romanowski <[email protected]>
…esn't have auth header Signed-off-by: Krzysztof Romanowski <[email protected]>
Thank you for the PR, I think the changes here should also trigger https://github.com/kubeflow/manifests/blob/master/.github/workflows/pipeline_run_from_notebook.yaml. |
Signed-off-by: juliusvonkohout <[email protected]>
/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: juliusvonkohout The full list of commands accepted by this bot can be found here. The pull request process is described here
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@@ -90,11 +90,14 @@ jobs: | |||
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while True: | |||
status = client.get_run(run_id=run_id).state | |||
if status not in ["SUCCEEDED", "FAILED", "ERROR"]: | |||
if status in ["PENDING", "RUNNING"]: |
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@kromanow94 a bit late to request this change, but could we not have the python code directly on the GH action but convert to a .py
file, and use that from the action?
This will allow users to also run the tests locally if they want
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I think it makes a lot of sense. Do you mind if I do it next week?
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just want to say I also vote for moving to a .py
file.
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I think this is a part of a wider topic to reorganize tests. I created an issue for that:
* fail gh action if pipeline failed in .github/workflows/pipeline_test.yaml Signed-off-by: Krzysztof Romanowski <[email protected]> * allow access to ml-pipeline when using trusted requestPrincipal or doesn't have auth header Signed-off-by: Krzysztof Romanowski <[email protected]> * add more triggers for the workflow Signed-off-by: juliusvonkohout <[email protected]> --------- Signed-off-by: Krzysztof Romanowski <[email protected]> Signed-off-by: juliusvonkohout <[email protected]> Co-authored-by: Krzysztof Romanowski <[email protected]> Co-authored-by: juliusvonkohout <[email protected]> Signed-off-by: hansinikarunarathne <[email protected]>
Fix ml pipeline access from kfp step
✏️ A brief description of the changes
I changed the:
.github/workflows/pipeline_test.yaml
to fail if the KF Pipeline Run has failed,AuthorizationPolicy/ml-pipeline
to allow access for both scenarios:kubeflow-userid
header to allow access from KFP Steps📦 List any dependencies that are required for this change
N/A
🐛 If this PR is related to an issue, please put the link to the issue here.
#2794
✅ Contributor checklist
DCO
check)cla/google
check)@kimwnasptd , @juliusvonkohout