test_API.py

import json
import urllib.request as urllib
from pprint import pprint
from credentials import azure_ml_api_key


def getRecommendation(NRIC: str):
    data = {
        "Inputs": {
            "NRIC, page_id, time_spent": {
                "ColumnNames": ["NRIC", "page_id", "time_spent"],
                "Values": [[NRIC, "0", "0"], [NRIC, "0", "0"],],
            },
        },
        "GlobalParameters": {},
    }

    body = str.encode(json.dumps(data))

    url = "https://ussouthcentral.services.azureml.net/workspaces/49a173e4ed7442fb8716f551a483e358/services/88d9184b914a4a9c800fe44265ae553c/execute?api-version=2.0&details=true"
    api_key = azure_ml_api_key  # Replace this with the API key for the web service
    headers = {
        "Content-Type": "application/json",
        "Authorization": ("Bearer " + api_key),
    }

    req = urllib.Request(url, body, headers)

    try:
        response = urllib.urlopen(req)
        result = response.read().decode("utf-8")

        pprint(json.loads(result)["Results"]["Recommendations"]["value"]["Values"][0])
    except urllib.HTTPError as error:
        print("The request failed with status code: " + str(error.code))

        # Print the headers - they include the requert ID and the timestamp, which are useful for debugging the failure
        print(error.info())

        print(json.loads(error.read()))


if __name__ == "__main__":
    getRecommendation("S7115029W")