microsoft_nlp_api.py

import requests
import os
import sys
import json
import time
from datetime import timedelta
import argparse


#We need to get our API credentials in the code for authentication that we have stored as Environment Variables locally
Ocp_Apim_Subscription_Key = os.environ.get("KEY_NLP")


#Following line is used to save all the console output into a text file
sys.stdout = open('nlp_api_output.txt', 'a')

start_time = time.monotonic()


def input_file(text_file_path):
    global text
    if os.path.isfile(text_file_path):
        with open(text_file_path, 'r') as text_file:
            text = text_file.read()
    else:
        print("File doesn't exist in the directory!")


def analyze_text():
    headers = {
        # NOTE: Replace the "Ocp-Apim-Subscription-Key" value with a valid subscription key.
        'Ocp-Apim-Subscription-Key': Ocp_Apim_Subscription_Key,
    }

    urls = ['https://eastus2.api.cognitive.microsoft.com/text/analytics/v2.0/languages', 'https://eastus2.api.cognitive.microsoft.com/text/analytics/v2.0/sentiment', 'https://eastus2.api.cognitive.microsoft.com/text/analytics/v2.0/keyPhrases']

    documents = { 'documents': [
        { 'id': '1', 'language': 'en', 'text': text }]}

    try:
        # NOTE: You must use the same location in your REST call as you used to obtain your subscription keys.
        #   For example, if you obtained your subscription keys from westus, replace "eastus2" in the
        #   URLs above with "westus".
        for url in urls:
            response = requests.post(url = url,
                                 headers = headers,
                                 data = (json.dumps(documents)).encode('utf-8'))
            data = response.json()
            print(data)
        print('\n')
    except Exception as e:
        print('Error: ', e)


if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        description = __doc__,
        formatter_class = argparse.RawDescriptionHelpFormatter)
    parser.add_argument(
        'text_file_path',
        help = 'The complete file path of the text file you want to analyze.')
    args = parser.parse_args()

    input_file(args.text_file_path)
    analyze_text()


end_time = time.monotonic()
print("Execution_Time:", timedelta(seconds = end_time - start_time))
print('\n')