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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_deploy_project.py
DESCRIPTION:
This sample demonstrates how to deploy a trained model to a deployment slot
in a Conversation Authoring project.
USAGE:
python sample_deploy_project.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>"
DEPLOYMENT_NAME # defaults to "<deployment-name>"
TRAINED_MODEL # defaults to "<trained-model-label>"
"""
# [START conversation_authoring_deploy_project]
import os
from azure.identity import DefaultAzureCredential
from azure.core.exceptions import HttpResponseError
from azure.ai.language.conversations.authoring import ConversationAuthoringClient
from azure.ai.language.conversations.authoring.models import CreateDeploymentDetails
def sample_deploy_project():
# settings
endpoint = os.environ["AZURE_CONVERSATIONS_AUTHORING_ENDPOINT"]
project_name = os.environ.get("PROJECT_NAME", "<project-name>")
deployment_name = os.environ.get("DEPLOYMENT_NAME", "<deployment-name>")
trained_model_label = os.environ.get("TRAINED_MODEL", "<trained-model-label>")
# create a client with AAD
credential = DefaultAzureCredential()
client = ConversationAuthoringClient(endpoint, credential=credential)
project_client = client.get_project_client(project_name)
# build deployment request
details = CreateDeploymentDetails(trained_model_label=trained_model_label)
# start deploy (long-running operation)
poller = project_client.deployment.begin_deploy_project(
deployment_name=deployment_name,
body=details,
)
try:
poller.result()
print("Deploy completed.")
print(f"done: {poller.done()}")
print(f"status: {poller.status()}")
except HttpResponseError as e:
print(f"Operation failed: {e.message}")
print(e.error)
# [END conversation_authoring_deploy_project]
def main():
sample_deploy_project()
if __name__ == "__main__":
main()
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