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# pylint: disable=line-too-long,useless-suppression
import functools
import pytest
from devtools_testutils import EnvironmentVariableLoader, AzureRecordedTestCase
from devtools_testutils.aio import recorded_by_proxy_async
from azure.core.credentials import AzureKeyCredential
from azure.core.exceptions import HttpResponseError
from azure.ai.language.conversations.authoring.aio import ConversationAuthoringClient
from azure.ai.language.conversations.authoring.models import CreateDeploymentDetails, DeploymentState
ConversationsPreparer = functools.partial(
EnvironmentVariableLoader,
"authoring",
authoring_endpoint="https://Sanitized.cognitiveservices.azure.com/",
authoring_key="fake_key",
)
class TestConversationsAsync(AzureRecordedTestCase):
async def create_client(self, endpoint: str, key: str) -> ConversationAuthoringClient:
return ConversationAuthoringClient(endpoint, AzureKeyCredential(key))
class TestConversationsDeployProjectAsync(TestConversationsAsync):
@ConversationsPreparer()
@recorded_by_proxy_async
@pytest.mark.asyncio
async def test_deploy_project_async(self, authoring_endpoint, authoring_key):
client = await self.create_client(authoring_endpoint, authoring_key)
async with client:
project_name = "EmailApp"
deployment_name = "0828Deployment"
trained_model_label = "Model1"
project_client = client.get_project_client(project_name)
# Build request body for deployment
details = CreateDeploymentDetails(trained_model_label=trained_model_label)
# Act: begin deploy and wait for completion
poller = await project_client.deployment.begin_deploy_project(
deployment_name=deployment_name,
body=details,
)
try:
await poller.result()
except HttpResponseError as e:
print(f"Operation failed: {e.message}")
print(e.error)
raise
# If we get here, the deploy succeeded
print(f"Deploy project completed. done={poller.done()} status={poller.status()}")
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