File: test_delete_trained_model_async.py

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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.textanalytics.authoring.aio import TextAuthoringClient

ConversationsPreparer = functools.partial(
    EnvironmentVariableLoader,
    "authoring",
    authoring_endpoint="https://Sanitized.cognitiveservices.azure.com/",
    authoring_key="fake_key",
)


class TestConversations(AzureRecordedTestCase):
    def create_client(self, endpoint, key):
        return TextAuthoringClient(endpoint, AzureKeyCredential(key))  # type: ignore[arg-type]


class TestConversationsDeleteTrainedModelAsync(TestConversations):
    @ConversationsPreparer()
    @recorded_by_proxy_async
    @pytest.mark.asyncio
    async def test_delete_trained_model_async(self, authoring_endpoint, authoring_key):
        async with TextAuthoringClient(authoring_endpoint, AzureKeyCredential(authoring_key)) as client:
            project_name = "single-class-project"
            trained_model_label = "model01"

            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}"