Andrei Vishniakov

Facing same issue, how deletion of artifacts can be achieved in Kubeflow 1.0? Reproduction: ``` curl http://metadata-service.kubeflow:8080/api/v1alpha1/artifact_types/kubeflow.org/alpha/model/artifacts/1 {"artifact":{"id":"1","type_id":"4","uri":"s3://my-bucket/model_test.pickle","properties":{"__ALL_META__":{"string_value":"{\"workspace\": null, \"name\": \"model_test_as\", \"description\": \"test desc\", \"owner\": \"dummy\", \"uri\": \"s3://my-bucket/model_test.pickle\", \"version\": \"2020-06-10\",...

We experience same issues on 2.3.2. Would be cool to have it reported as failed and also get logs of that back in the run.

@coderabbitai review

Hey @mbspng , thanks for reporting this! I'll take care from here.

Hi @mbspng , I prepared a fix for this, once merged and released issue should be gone. Worth mentioning that if you need more granular roles and permissions, consider exploring...

You need to remove ```python # TODO: remove this temporary disabling of the test for Python 3.9 and 3.10 # once the MLflow issue is resolved if sys.platform != "darwin"...

@coderabbitai review

Thanks for reporting @ngohoanganh96 ! We will need to have a closer look.

Hello @PriyanshBhardwaj , sorry about the delay! As I learned from the info provided you install `mlflow` using pip directly, which might not work well with zenml due to version...

Hey @Adiii1436 , sorry about the delay. I analyzed the information you provided and cannot see any leads right away, unfortunately. I would be glad to analyze it further, but...