score_drum.py

from pprint import pprint
def score(data, port = "6789"):
    b_buf = BytesIO()
    b_buf.write(data.to_csv(index=False).encode("utf-8"))
    b_buf.seek(0)
  
    url = "http://localhost:{}/predict/".format(port)
    files = [
        ('X', b_buf)
    ]
    response = requests.request("POST", url, files = files, timeout=None, verify=False)
    return response

scoring_data = pd.read_csv("/content/mlops-examples/MLOps_DRUM/data/boston_housing_test.csv")
predictions = score(scoring_data).json() ## score entire dataset but only show first 5 records
pprint(predictions)