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# pylint: disable=line-too-long,useless-suppression
import functools
import pytest
from devtools_testutils import AzureRecordedTestCase, EnvironmentVariableLoader
from devtools_testutils.aio import recorded_by_proxy_async
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.conversations.authoring.aio import ConversationAuthoringClient
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 TestConversationsDeleteTrainedModelAsync(TestConversationsAsync):
@ConversationsPreparer()
@recorded_by_proxy_async
@pytest.mark.asyncio
async def test_delete_trained_model_async(self, authoring_endpoint, authoring_key):
client = await self.create_client(authoring_endpoint, authoring_key)
try:
project_name = "Test-data-labels"
trained_model_label = "MyModel"
project_client = client.get_project_client(project_name)
captured = {}
def capture_response(pipeline_response):
captured["status_code"] = pipeline_response.http_response.status_code
# Act
await project_client.trained_model.delete_trained_model(
trained_model_label,
raw_response_hook=capture_response,
)
# Print & Assert
status = captured.get("status_code")
print(f"Delete Trained Model Response Status: {status}")
assert status == 204, f"Expected 204, got {status}"
finally:
await client.close()
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