text: # coding: utf-8
  
  # -------------------------------------------------------------------------
  # Copyright (c) Microsoft Corporation. All rights reserved.
  # Licensed under the MIT License. See License.txt in the project root for
  # license information.
  # --------------------------------------------------------------------------
  
  """
  FILE: sample_authentication_async.py
  
  DESCRIPTION:
      This sample demonstrates how to authenticate to the Text Analytics service.
  
      There are two supported methods of authentication:
      1) Use a Cognitive Services/Text Analytics API key with AzureKeyCredential from azure.core.credentials
      2) Use a token credential from azure-identity to authenticate with Azure Active Directory
  
      See more details about authentication here:
      https://docs.microsoft.com/azure/cognitive-services/authentication
  
  USAGE:
      python sample_authentication_async.py
  
      Set the environment variables with your own values before running the sample:
      1) AZURE_TEXT_ANALYTICS_ENDPOINT - the endpoint to your Cognitive Services resource.
      2) AZURE_TEXT_ANALYTICS_KEY - your Cognitive Services/Text Analytics API key
      3) AZURE_CLIENT_ID - the client ID of your active directory application.
      4) AZURE_TENANT_ID - the tenant ID of your active directory application.
      5) AZURE_CLIENT_SECRET - the secret of your active directory application.
  """
  
  import os
  import asyncio
  
  
  async def sample_authentication_with_api_key_credential_async():
      print("\n.. authentication_with_api_key_credential_async")
      # [START create_ta_client_with_key_async]
      from azure.core.credentials import AzureKeyCredential
      from azure.ai.textanalytics.aio import TextAnalyticsClient
      endpoint = os.environ["AZURE_TEXT_ANALYTICS_ENDPOINT"]
      key = os.environ["AZURE_TEXT_ANALYTICS_KEY"]
  
      text_analytics_client = TextAnalyticsClient(endpoint, AzureKeyCredential(key))
      # [END create_ta_client_with_key_async]
  
      doc = [
          """
          I need to take my cat to the veterinarian. She's been coughing for a while and I thought it was just a hairball,
          but now I'm now worried it might be something else. She's still very healthy so I'm not too worried though.
          """
      ]
      async with text_analytics_client:
          result = await text_analytics_client.detect_language(doc)
  
      print("Language detected: {}".format(result[0].primary_language.name))
      print("Confidence score: {}".format(result[0].primary_language.confidence_score))
  
  
  async def sample_authentication_with_azure_active_directory_async():
      """DefaultAzureCredential will use the values from these environment
      variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET
      """
      print("\n.. authentication_with_azure_active_directory_async")
      # [START create_ta_client_with_aad_async]
      from azure.ai.textanalytics.aio import TextAnalyticsClient
      from azure.identity.aio import DefaultAzureCredential
  
      endpoint = os.environ["AZURE_TEXT_ANALYTICS_ENDPOINT"]
      credential = DefaultAzureCredential()
  
      text_analytics_client = TextAnalyticsClient(endpoint, credential=credential)
      # [END create_ta_client_with_aad_async]
  
      doc = [
          """
          I need to take my cat to the veterinarian. She's been coughing for a while and I thought it was just a hairball,
          but now I'm now worried it might be something else. She's still very healthy so I'm not too worried though.
          """
      ]
      async with text_analytics_client:
          result = await text_analytics_client.detect_language(doc)
  
      print("Language detected: {}".format(result[0].primary_language.name))
      print("Confidence score: {}".format(result[0].primary_language.confidence_score))
  
  
  async def main():
      await sample_authentication_with_api_key_credential_async()
      await sample_authentication_with_azure_active_directory_async()
  
  if __name__ == '__main__':
      loop = asyncio.get_event_loop()
      loop.run_until_complete(main())
  