chore: import upstream snapshot with attribution

python/tests/integration/audio_to_text/audio_to_text_test_base.py

@@ -0,0 +1,31 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import os
+
+import pytest
+from azure.identity import AzureCliCredential
+
+from semantic_kernel.connectors.ai.audio_to_text_client_base import AudioToTextClientBase
+from semantic_kernel.connectors.ai.open_ai import AzureAudioToText, OpenAIAudioToText
+from tests.utils import is_service_setup_for_testing
+
+# There is only the whisper model available on Azure OpenAI for audio to text. And that model is
+# only available in the North Switzerland region. Therefore, the endpoint is different than the one
+# we use for other services.
+azure_setup = is_service_setup_for_testing(["AZURE_OPENAI_AUDIO_TO_TEXT_ENDPOINT"])
+
+
+class AudioToTextTestBase:
+    """Base class for testing audio-to-text services."""
+
+    @pytest.fixture(scope="module")
+    def services(self) -> dict[str, AudioToTextClientBase]:
+        """Return audio-to-text services."""
+        return {
+            "openai": OpenAIAudioToText(),
+            "azure_openai": AzureAudioToText(
+                endpoint=os.environ["AZURE_OPENAI_AUDIO_TO_TEXT_ENDPOINT"], credential=AzureCliCredential()
+            )
+            if azure_setup
+            else None,
+        }

python/tests/integration/audio_to_text/test_audio_to_text.py

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+# Copyright (c) Microsoft. All rights reserved.
+
+import os
+
+import pytest
+
+from semantic_kernel.connectors.ai.audio_to_text_client_base import AudioToTextClientBase
+from semantic_kernel.contents import AudioContent
+from tests.integration.audio_to_text.audio_to_text_test_base import AudioToTextTestBase, azure_setup
+
+pytestmark = pytest.mark.parametrize(
+    "service_id, audio_content, expected_text",
+    [
+        pytest.param(
+            "openai",
+            AudioContent.from_audio_file(os.path.join(os.path.dirname(__file__), "../../", "assets/sample_audio.mp3")),
+            ["hi", "how", "are", "you", "doing"],
+            id="openai",
+        ),
+        pytest.param(
+            "azure_openai",
+            AudioContent.from_audio_file(os.path.join(os.path.dirname(__file__), "../../", "assets/sample_audio.mp3")),
+            ["hi", "how", "are", "you", "doing"],
+            marks=pytest.mark.skipif(not azure_setup, reason="Azure Audio to Text not setup."),
+            id="azure_openai",
+        ),
+    ],
+)
+
+
+class TestAudioToText(AudioToTextTestBase):
+    """Test audio-to-text services."""
+
+    async def test_audio_to_text(
+        self,
+        services: dict[str, AudioToTextClientBase],
+        service_id: str,
+        audio_content: AudioContent,
+        expected_text: list[str],
+    ) -> None:
+        """Test audio-to-text services.
+
+        Args:
+            services: Audio-to-text services.
+            service_id: Service ID.
+            audio_content: Audio content.
+            expected_text: Expected text, list of words.
+        """
+
+        service = services[service_id]
+        if not service:
+            pytest.mark.xfail("Azure Audio to Text not setup.")
+        result = await service.get_text_content(audio_content)
+
+        for word in expected_text:
+            assert word in result.text.lower(), (
+                f"Expected word '{word}' not found in result text: {result.text.lower()}"
+            )