GCP Serving - Features required not used in model

[mshearer0]

After deploying model to GCP i found predictions required features 'company' and 'timely response' although these are not used in model. The other features below were also required but 'state' and 'zipcode' were not.

exampledict = {'product': 'Bank account or service', 'sub_product': 'Savings account', 'timely_response': 'No', 'company_response': 'Closed with monetary relief' ,'issue':'Cash advance','company':'test','consumer_complaint_narrative':'happy with the service' }
featuredict = {}

for key,value in exampledict.items():
featuredict[key]=tf.train.Feature(bytes_list=tf.train.BytesList(value=[value.encode('utf-8')])),

example = tf.train.Example(
features=tf.train.Features(feature=featuredict)
)

input_data_json = {
"signature_name":"serving_default",
"instances":[
{
"examples":{"b64": base64.b64encode(example.SerializeToString()).decode('utf-8')}
}
]
}

request = ml_resource.predict(name=model_path, body=input_data_json)
response = request.execute()
if "error" in response:
raise RuntimeError(response["error"])
for pred in response["predictions"]:
print(pred)

[0.123692594]

[mshearer0]

In addition to the above the following predicts locally using saved_model_cli (pg 140) - replace model number:

cli_input="examples=" + repr([example.SerializeToString()]).replace("'", "\"")
!saved_model_cli run --dir ../../interactive-pipeline/serving_model_dir/1600007776/ \
--tag_set serve \
--signature_def serving_default \
--input_exprs='{cli_input}'

[mshearer0]

Certain values, eg 'sub_product': 'Savings account', cause local prediction to fail but GCP works fine.

Difference seems to be those value Serialize to include a " character causing:

SyntaxError: unexpected character after line continuation character