def input_handler()

in inference/inference.py [0:0]

• 13 lines of code
• 6 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, in format of dict or string
        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/json':
        ip = json.loads(data.read().decode('utf-8'))
        ip_mod = cleanup(list(ip))
        d = json.dumps({"instances": fitandtokenize(ip_mod).tolist()}) 
        return d if len(ip) else ''

    if context.request_content_type == 'text/csv':
        d = json.dumps({
            'instances': [fitandtokenize(x) for x in data.read().decode('utf-8').split(',')]
        })
        return d 

    raise ValueError('{{"error": "unsupported content type {}"}}'.format(
        "whatever" or "unknown"))