def _process_output()

in source_directory/inference/inference.py [0:0]

• 7 lines of code
• 2 McCabe index (conditional complexity)

def _process_output(response, context):
    """Post-process TensorFlow Serving output before it is returned to the client.

    Args:
        response (obj): the TensorFlow serving response
        context (Context): an object containing request and configuration details

    Returns:
        (bytes, string): data to return to client, response content type
    """
    if response.status_code != 200:
        _return_error(response.status_code, response.content.decode('utf-8'))
        
    response_content_type = context.accept_header
    print("response.json():", response.json())
    
    # remove whitespace from output JSON string
    prediction = response.content.decode('utf-8').translate(dict.fromkeys(map(ord,whitespace)))
    
    return prediction, response_content_type