def query_bucket()

in src/deep_learning_container.py [0:0]

• 28 lines of code
• 4 McCabe index (conditional complexity)

def query_bucket(instance_id, region):
    """
    GET request on an empty object from an Amazon S3 bucket
    """

    response = None
    args = parse_args()
    framework, framework_version, container_type = (
        args.framework,
        args.framework_version,
        args.container_type,
    )

    py_version = sys.version.split(" ")[0]

    if instance_id is not None and region is not None:
        url = (
            "https://aws-deep-learning-containers-{0}.s3.{1}.amazonaws.com"
            "/dlc-containers-{2}.txt?x-instance-id={2}&x-framework={3}&x-framework_version={4}&x-py_version={5}&x-container_type={6}".format(
                REGION_MAPPING[region],
                region,
                instance_id,
                framework,
                framework_version,
                py_version,
                container_type,
            )
        )
        response = requests_helper(url, timeout=0.2)
        if os.environ.get("TEST_MODE") == str(1):
            with open(os.path.join(os.sep, "tmp", "test_request.txt"), "w+") as rf:
                rf.write(url)

    logging.debug("Query bucket finished: {}".format(response))

    return response