def main()

in src/main.py [0:0]
54 lines of code
42 McCabe index (conditional complexity)

def main():
    parser = argparse.ArgumentParser(description="Program to build docker images")
    parser.add_argument("--buildspec", type=str)
    parser.add_argument("--framework", type=str)
    parser.add_argument("--device_types", type=str, default=constants.ALL)
    parser.add_argument("--image_types", type=str, default=constants.ALL)
    parser.add_argument("--py_versions", type=str, default=constants.ALL)

    args = parser.parse_args()

    device_types = args.device_types.split(",") if not args.device_types == constants.ALL else args.device_types
    image_types = args.image_types.split(",") if not args.image_types == constants.ALL else args.image_types
    py_versions = args.py_versions.split(",") if not args.py_versions == constants.ALL else args.py_versions
    # create the empty json file for images
    build_context = os.getenv("BUILD_CONTEXT")
    ei_dedicated = os.getenv("EIA_DEDICATED", "false").lower() == "true"
    neuron_dedicated = os.getenv("NEURON_DEDICATED", "false").lower() == "true"
    graviton_dedicated = os.getenv("GRAVITON_DEDICATED", "false").lower() == "true"
    habana_dedicated = os.getenv("HABANA_DEDICATED", "false").lower() == "true"

    # Get config value options
    frameworks_to_skip = parse_dlc_developer_configs("build", "skip_frameworks")
    ei_build_mode = parse_dlc_developer_configs("dev", "ei_mode")
    neuron_build_mode = parse_dlc_developer_configs("dev", "neuron_mode")
    graviton_build_mode = parse_dlc_developer_configs("dev", "graviton_mode")
    habana_build_mode = parse_dlc_developer_configs("dev", "habana_mode")

    # Write empty dict to JSON file, so subsequent buildspec steps do not fail in case we skip this build
    utils.write_to_json_file(constants.TEST_TYPE_IMAGES_PATH, {})

    # Skip tensorflow-1 PR jobs, as there are no longer patch releases being added for TF1
    # Purposefully not including this in developer config to make this difficult to enable
    # TODO: Remove when we remove these jobs completely
    build_arn = utils.get_codebuild_build_arn()
    if build_context == "PR":
        tf_1_build_regex = re.compile(r"dlc-pr-tensorflow-1:")
        if tf_1_build_regex.search(build_arn):
            return

    # A general will work if in non-EI, non-NEURON and non-GRAVITON mode and its framework not been disabled
    general_builder_enabled = (
        not ei_dedicated
        and not neuron_dedicated
        and not graviton_dedicated
        and not habana_dedicated
        and not ei_build_mode
        and not neuron_build_mode
        and not graviton_build_mode
        and not habana_build_mode
        and args.framework not in frameworks_to_skip
    )
    # An EI dedicated builder will work if in EI mode and its framework not been disabled
    ei_builder_enabled = ei_dedicated and ei_build_mode and args.framework not in frameworks_to_skip

    # A NEURON dedicated builder will work if in NEURON mode and its framework has not been disabled
    neuron_builder_enabled = neuron_dedicated and neuron_build_mode and args.framework not in frameworks_to_skip

    # A GRAVITON dedicated builder will work if in GRAVITON mode and its framework has not been disabled
    graviton_builder_enabled = graviton_dedicated and graviton_build_mode and args.framework not in frameworks_to_skip

    # A HABANA dedicated builder will work if in HABANA mode and its framework has not been disabled
    habana_builder_enabled = habana_dedicated and habana_build_mode and args.framework not in frameworks_to_skip

    # A builder will always work if it is in non-PR context
    if (
        general_builder_enabled
        or ei_builder_enabled
        or neuron_builder_enabled
        or graviton_builder_enabled
        or habana_builder_enabled
        or build_context != "PR"
    ):
        utils.build_setup(
            args.framework, device_types=device_types, image_types=image_types, py_versions=py_versions,
        )
        image_builder(args.buildspec)