@@ -189,6 +189,67 @@ def test_pip_install_cowsay_runs(self, image: str):
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finally :
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docker_utils .NotebookContainer (container ).stop (timeout = 0 )
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+ # There are two ways how the image is being updated
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+ # 1. A change to the image is being done (e.g. package update, Dockerfile update etc.). This is what this test does.
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+ # In this case, we need to check the size of the build image that contains these updates. We're checking the compressed image size.
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+ # 2. A change is done to the params.env file or runtimes images definitions, where we update manifest references to a new image.
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+ # Check for this scenario is being done in 'ci/[check-params-env.sh|check-runtime-images.sh]'.
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+ size_treshold : int = 100 # in MBs
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+ percent_treshold : int = 10
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+ def test_image_size_change (self , image : str ):
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+ """Checks the image size didn't change extensively - treshold is 10% or XXX MB."""
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+
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+ # Map of image label names with expected size in MBs.
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+ expected_image_name_size_map = {
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+ "odh-notebook-base-centos-stream9-python-3.11" : 1350 ,
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+ "odh-notebook-base-ubi9-python-3.11" : 1262 ,
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+ "odh-notebook-cuda-c9s-python-3.11" : 11519 ,
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+ "odh-notebook-cuda-ubi9-python-3.11" : 9070 , # TODO
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+ "odh-notebook-jupyter-datascience-ubi9-python-3.11" : 2845 ,
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+ "odh-notebook-jupyter-minimal-ubi9-python-3.11" : 1472 , # gpu 9070; rocm 26667 ???
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+ "odh-notebook-jupyter-pytorch-ubi9-python-3.11" : 15444 ,
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+ "odh-notebook-cuda-jupyter-tensorflow-ubi9-python-3.11" : 15218 ,
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+ "odh-notebook-jupyter-trustyai-ubi9-python-3.11" : 8613 ,
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+ "odh-notebook-jupyter-rocm-pytorch-ubi9-python-3.11" : 33001 ,
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+ "odh-notebook-jupyter-rocm-tensorflow-ubi9-python-3.11" : 30241 ,
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+ "odh-notebook-rstudio-server-c9s-python-3.11" : 13201 , # 3221 ??
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+ "odh-notebook-runtime-datascience-ubi9-python-3.11" : 2518 ,
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+ "odh-notebook-runtime-minimal-ubi9-python-3.11" : 1362 ,
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+ "odh-notebook-runtime-pytorch-ubi9-python-3.11" : 7487 ,
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+ "odh-notebook-cuda-runtime-tensorflow-ubi9-python-3.11" : 14572 ,
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+ "odh-notebook-runtime-rocm-pytorch-ubi9-python-3.11" : 32682 ,
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+ "odh-notebook-rocm-runtime-tensorflow-ubi9-python-3.11" : 29805 ,
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+ "odh-notebook-code-server-ubi9-python-3.11" : 2598 ,
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+ "odh-notebook-rocm-python-3.11" : 26667 , # TODO
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+ }
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+
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+ import docker
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+ client = testcontainers .core .container .DockerClient ()
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+ try :
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+ image_metadata = client .client .images .get (image )
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+ except docker .errors .ImageNotFound :
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+ image_metadata = client .client .images .pull (image )
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+ assert isinstance (image_metadata , docker .models .images .Image )
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+
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+ actual_img_size = image_metadata .attrs ["Size" ]
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+ actual_img_size = round (actual_img_size / 1024 / 1024 )
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+ logging .info (f"The size of the image is { actual_img_size } MBs." )
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+ logging .debug (f"The image metadata: { image_metadata } " )
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+
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+ img_label_name = image_metadata .labels ["name" ]
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+ if img_label_name in expected_image_name_size_map :
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+ expected_img_size = expected_image_name_size_map [img_label_name ]
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+ logging .debug (f"Expected size of the '{ img_label_name } ' image is { expected_img_size } MBs." )
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+ else :
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+ pytest .fail (f"Image name label '{ img_label_name } ' is not in the expected image size map { expected_image_name_size_map } " )
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+
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+ # Check the size change constraints now
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+ # 1. Percentual size change
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+ abs_percent_change = abs (actual_img_size / expected_img_size * 100 - 100 )
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+ assert abs_percent_change < self .percent_treshold , f"Image size of '{ img_label_name } ' changed by { abs_percent_change } % (expected: { expected_img_size } MB; actual: { actual_img_size } MB; treshold: { self .percent_treshold } %)."
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+ # 2. Absolute size change
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+ abs_size_difference = abs (actual_img_size - expected_img_size )
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+ assert abs_size_difference < self .size_treshold , f"Image size of '{ img_label_name } ' changed by { abs_size_difference } MB (expected: { expected_img_size } MB; actual: { actual_img_size } MB; treshold: { self .size_treshold } MB)."
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def encode_python_function_execution_command_interpreter (python : str , function : Callable [..., Any ], * args : list [Any ]) -> list [str ]:
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"""Returns a cli command that will run the given Python function encoded inline.
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