def METHOD_NAME(rundb_mock):
    # Create a temp directory:
    output_path = tempfile.TemporaryDirectory()
    # Run the plot production and logging:
    train_run = mlrun.new_function().run(
        artifact_path=output_path.name,
        handler=plot_produce,
    )
    # Print the outputs for manual validation:
    print(json.dumps(train_run.outputs, indent=4))
    # Validate the artifact was logged:
    assert len(train_run.status.artifacts) == 1
    # Check the plot was saved properly (only the drift table plot should appear):
    artifact_directory_content = os.listdir(
        os.path.dirname(train_run.status.artifacts[0]["spec"]["target_path"])
    )
    assert len(artifact_directory_content) == 1
    assert artifact_directory_content[0] == "drift_table_plot.html"
    # Clean up the temporary directory:
    output_path.cleanup()