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Failed to call kfp.Client()
in jupyter notebook
#153
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I got this to finally work the last thing we need to do is remove the EnvoyFilter logic we had for KF 1.2 which will fix us getting access denied in KF 1.3. - when:
- key: 'request.headers[kubeflow-userid]'
notValues:
- '*'
selector:
matchLabels:
app: ml-pipeline https://github.com/StatCan/aaw-kubeflow-controller/blob/master/istio.go#L17 |
What is this snippet from? Were there other modifications made to the manifests? |
Its comes from kubeflow and we need to remove our personalized envoy filters which force add kubeflow-userid so it never passes RBAC. |
Performed the following steps: a) Removed the legacy logic that breaks in KF 1.3 b) Removed all the created envoyfilters of name "kubeflow-pipelines" in dev cluster |
Cleanup in prod performed with the following command: kubectl get all envoyfilter -o json | jq -r '.items[] | select(.metadata.name == "kubeflow-pipelines") | "kubectl -n \(.metadata.namespace) delete envoyfilter \(.metadata.name) --wait=false"' | xargs -n1 -d "\n" -- bash -c |
Unable to call kfp.Client()
We would have to use access-ml-pipeline PodDefault (canonical/bundle-kubeflow#423)
Using PodDefault https://www.kubeflow.org/docs/components/pipelines/sdk/connect-api/#multi-user-mode
Waiting for https://github.com/kubeflow/pipelines/pull/6629/files to be merged (pipelines-profile-controller needs PodDefault updates)
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