Sample Python client for Azure AutoML Model Endpoint

automl_bank_client.py

import requests
import json
import pandas as pd


# URL for the web service
scoring_uri = 'http://SOME ID.centralus.azurecontainer.io/score'
# If the service is authenticated, set the key or token
key = 'SOME KEY'

"""
Example payload

data = {
    "data":
        [
            {'age': 57, 'job': 'technician', 'marital': 'married', 'education': 'high.school', 'default': 'no',
             'housing': 'no', 'loan': 'yes', 'contact': 'cellular', 'month': 'may', 'duration': 371, 'campaign': 1,
             'pdays': 999, 'previous': 1, 'poutcome': 'failure', 'emp.var.rate': -1.8, 'cons.price.idx': 92.893,
             'cons.conf.idx': -46.2, 'euribor3m': 1.299, 'nr.employed': 5099.1}
        ]
}

"""

if __name__ == '__main__':

    # read the bankmarketing_train.csv file and randomly select records to use in the test client
    df = pd.read_csv("./bankmarketing_train.csv")
    print(df.head())

    # Grad 10 random samples and predict on this data
    # caveat - I realize we should not test on data the model was training on but I want to see the actual answers.
    for row in df.sample(n=10).values:
        predict_record = {}
        y_value = None
        for k,v in zip(df.columns, row):
            if k == 'day_of_week':
                continue
            if k != 'y':
                predict_record[k]=v
            else:
                y_value = v

        data = {
            "data":[predict_record]
        }
        print(f"Prediction Record: \n{json.dumps(data, indent=2)}")

        # Convert to JSON string
        input_data = json.dumps(data)

        # Set the content type
        headers = {'Content-Type': 'application/json'}
        # If authentication is enabled, set the authorization header
        headers['Authorization'] = f'Bearer {key}'

        # Make the request and display the response
        resp = requests.post(scoring_uri, input_data, headers=headers)
        print(f"Expected Value: {y_value}")
        pred = json.loads(resp.json())["result"][0]
        print(f"Predicted: {pred}")
        print("--------------------")