def query_bucket()

in deep_learning_container.py [0:0]

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

def query_bucket():
    """
    GET request on an empty object from an Amazon S3 bucket
    """
    response = None
    instance_id = _retrieve_instance_id()
    region = _retrieve_instance_region()
    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.{0}.amazonaws.com"
            "/dlc-containers-{1}.txt?x-instance-id={1}&x-framework={2}&x-framework_version={3}&x-py_version={4}&x-container_type={5}".format(
                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