def input_handler()

in code/inference.py [0:0]

• 8 lines of code
• 3 McCabe index (conditional complexity)

def input_handler(data, context):
    """ Pre-process request input before it is sent to TensorFlow Serving REST API

    Args:
        data (obj): the request data stream
        context (Context): an object containing request and configuration details

    Returns:
        (dict): a JSON-serializable dict that contains request body and headers
    """

    if context.request_content_type == 'application/x-image':
        image = Image.open(io.BytesIO(data.read()))
        #image = Image.open(io.BytesIO(open(data, 'rb').read()))
        image_np = np.asarray(image)
        instance = image_np[np.newaxis, ...]
        return json.dumps({"instances": instance.tolist()})
    else:
        _return_error(415, 'Unsupported content type "{}"'.format(context.request_content_type or 'Unknown'))