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Periodically run KF ready tests against auto deployments #52
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* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
Getting a weird kubernetes client issue when running the tests.
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Here's the full stacktrace
It looks like the version of |
Issue-Label Bot is automatically applying the labels:
Please mark this comment with 👍 or 👎 to give our bot feedback! |
* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
Dashboard: Tests are running regularly but some of the tests are failing. |
@Bobgy The test is passing can we close this? |
looks like kf_is_ready and metadata_is_ready tests are not passing yet, did you see them? |
Or is this issue just for setting up the test, then I have no objection |
* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
* For workload identity binding tests the permissions were all wrong * We no longer download service account keys * cloud-endpoints-controller should be in the kubeflow namespace not istio-system namespace Related to GoogleCloudPlatform/kubeflow-distribution#52 Related to GoogleCloudPlatform/kubeflow-distribution#73
* For workload identity binding tests the permissions were all wrong * We no longer download service account keys * cloud-endpoints-controller should be in the kubeflow namespace not istio-system namespace Related to GoogleCloudPlatform/kubeflow-distribution#52 Related to GoogleCloudPlatform/kubeflow-distribution#73
* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
* For workload identity binding tests the permissions were all wrong * We no longer download service account keys * cloud-endpoints-controller should be in the kubeflow namespace not istio-system namespace Related to GoogleCloudPlatform/kubeflow-distribution#52 Related to GoogleCloudPlatform/kubeflow-distribution#73
* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
* For workload identity binding tests the permissions were all wrong * We no longer download service account keys * cloud-endpoints-controller should be in the kubeflow namespace not istio-system namespace Related to GoogleCloudPlatform/kubeflow-distribution#52 Related to GoogleCloudPlatform/kubeflow-distribution#73
/area gcp-blueprints |
/priority p2 |
* kf_is_ready_test.py currently assumes we have access to the KFDef and can use that to determine the platform and trigger platform specific tests. * With blueprints and when running against auto deployed clusters we won't have the KFDef; so in this case just set platform = "" and don't trigger platform specific logic. * Related to GoogleCloudPlatform/kubeflow-distribution#52
* For workload identity binding tests the permissions were all wrong * We no longer download service account keys * cloud-endpoints-controller should be in the kubeflow namespace not istio-system namespace Related to GoogleCloudPlatform/kubeflow-distribution#52 Related to GoogleCloudPlatform/kubeflow-distribution#73
Follow on to #42
We should setup a periodic test that runs the tests that the kubeflow applications were correctly deployed.
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