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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_delete_trained_model_async.py
DESCRIPTION:
This sample demonstrates how to delete a trained model from a Conversation Authoring project (async).
USAGE:
python sample_delete_trained_model_async.py
REQUIRED ENV VARS (for AAD / DefaultAzureCredential):
AZURE_CONVERSATIONS_AUTHORING_ENDPOINT
AZURE_CLIENT_ID
AZURE_TENANT_ID
AZURE_CLIENT_SECRET
NOTE:
If you want to use AzureKeyCredential instead, set:
- AZURE_CONVERSATIONS_AUTHORING_ENDPOINT
- AZURE_CONVERSATIONS_AUTHORING_KEY
OPTIONAL ENV VARS:
PROJECT_NAME # defaults to "<project-name>"
TRAINED_MODEL # defaults to "<trained-model-label>"
"""
# [START conversation_authoring_delete_trained_model_async]
import os
import asyncio
from azure.identity import DefaultAzureCredential
from azure.ai.language.conversations.authoring.aio import ConversationAuthoringClient
async def sample_delete_trained_model_async():
# settings
endpoint = os.environ["AZURE_CONVERSATIONS_AUTHORING_ENDPOINT"]
project_name = os.environ.get("PROJECT_NAME", "<project-name>")
trained_model_label = os.environ.get("TRAINED_MODEL", "<trained-model-label>")
credential = DefaultAzureCredential()
async with ConversationAuthoringClient(endpoint, credential=credential) as client:
project_client = client.get_project_client(project_name)
captured = {}
def capture_response(pipeline_response):
# capture the raw HTTP response status code
captured["status_code"] = pipeline_response.http_response.status_code
# delete trained model
await project_client.trained_model.delete_trained_model(
trained_model_label,
raw_response_hook=capture_response,
)
# print response
status = captured.get("status_code")
print(f"Delete Trained Model Response Status: {status}")
# [END conversation_authoring_delete_trained_model_async]
async def main():
await sample_delete_trained_model_async()
if __name__ == "__main__":
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
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