WIP: basic tests on OpenAI streaming compatibility

api/src/services/audio.py

@@ -62,10 +62,10 @@ class AudioService:
                 logger.info("Writing to WAV format...")
                 # Always include WAV header for WAV format
                 sf.write(buffer, normalized_audio, sample_rate, format="WAV", subtype='PCM_16')
-            elif output_format in ["mp3", "aac"]:
+            elif output_format == "mp3":
-                logger.info(f"Converting to {output_format.upper()} format...")
+                logger.info("Converting to MP3 format...")
                 # Use lower bitrate for streaming
-                sf.write(buffer, normalized_audio, sample_rate, format=output_format.upper())
+                sf.write(buffer, normalized_audio, sample_rate, format="MP3")
             elif output_format == "opus":
                 logger.info("Converting to Opus format...")
                 # Use lower bitrate and smaller frame size for streaming
@@ -75,6 +75,11 @@ class AudioService:
                 # Use smaller block size for streaming
                 sf.write(buffer, normalized_audio, sample_rate, format="FLAC",
                         subtype='PCM_16')
+            else:
+                if output_format == "aac":
+                    raise ValueError(
+                        "Format aac not supported. Supported formats are: wav, mp3, opus, flac, pcm."
+                    )
                 else:
                     raise ValueError(
                         f"Format {output_format} not supported. Supported formats are: wav, mp3, opus, flac, pcm."

api/tests/test_endpoints.py

@@ -1,13 +1,21 @@
 from unittest.mock import Mock
 
 import pytest
+import pytest_asyncio
 from fastapi.testclient import TestClient
+from httpx import AsyncClient
 
 from ..src.main import app
 
 # Create test client
 client = TestClient(app)
 
+# Create async client fixture
+@pytest_asyncio.fixture
+async def async_client():
+    async with AsyncClient(app=app, base_url="http://test") as ac:
+        yield ac
+
 
 # Mock services
 @pytest.fixture
@@ -34,12 +42,12 @@ def mock_tts_service(monkeypatch):
 
 @pytest.fixture
 def mock_audio_service(monkeypatch):
-    def mock_convert(*args):
+    mock_service = Mock()
-        return b"converted mock audio data"
+    mock_service.convert_audio.return_value = b"converted mock audio data"
-
     monkeypatch.setattr(
-        "api.src.routers.openai_compatible.AudioService.convert_audio", mock_convert
+        "api.src.routers.openai_compatible.AudioService", mock_service
     )
+    return mock_service
 
 
 def test_health_check():
@@ -153,3 +161,87 @@ def test_combine_voices_error(mock_tts_service):
 
     assert response.status_code == 500
     assert "Combination failed" in response.json()["detail"]["message"]
+
+
+@pytest.mark.asyncio
+async def test_openai_speech_pcm_streaming(mock_tts_service, async_client):
+    """Test streaming PCM audio for real-time playback"""
+    test_request = {
+        "model": "kokoro",
+        "input": "Hello world",
+        "voice": "af",
+        "response_format": "pcm",
+    }
+    
+    # Mock streaming response
+    async def mock_stream():
+        yield b"chunk1"
+        yield b"chunk2"
+    mock_tts_service.generate_audio_stream.return_value = mock_stream()
+    
+    # Add streaming header
+    headers = {"x-raw-response": "stream"}
+    response = await async_client.post("/v1/audio/speech", json=test_request, headers=headers)
+    
+    assert response.status_code == 200
+    assert response.headers["content-type"] == "audio/pcm"
+    # Just verify status and content type
+    assert response.status_code == 200
+    assert response.headers["content-type"] == "audio/pcm"
+
+
+@pytest.mark.asyncio
+async def test_openai_speech_streaming_mp3(mock_tts_service, async_client):
+    """Test streaming MP3 audio to file"""
+    test_request = {
+        "model": "kokoro",
+        "input": "Hello world",
+        "voice": "af",
+        "response_format": "mp3",
+    }
+    
+    # Mock streaming response
+    async def mock_stream():
+        yield b"mp3header"
+        yield b"mp3data"
+    mock_tts_service.generate_audio_stream.return_value = mock_stream()
+    
+    # Add streaming header
+    headers = {"x-raw-response": "stream"}
+    response = await async_client.post("/v1/audio/speech", json=test_request, headers=headers)
+    
+    assert response.status_code == 200
+    assert response.headers["content-type"] == "audio/mpeg"
+    assert response.headers["content-disposition"] == "attachment; filename=speech.mp3"
+    # Just verify status and content type
+    assert response.status_code == 200
+    assert response.headers["content-type"] == "audio/mpeg"
+    assert response.headers["content-disposition"] == "attachment; filename=speech.mp3"
+
+
+@pytest.mark.asyncio
+async def test_openai_speech_streaming_generator(mock_tts_service, async_client):
+    """Test streaming with async generator"""
+    test_request = {
+        "model": "kokoro",
+        "input": "Hello world",
+        "voice": "af",
+        "response_format": "pcm",
+    }
+    
+    # Mock streaming response
+    async def mock_stream():
+        yield b"chunk1"
+        yield b"chunk2"
+    
+    mock_tts_service.generate_audio_stream.return_value = mock_stream()
+    
+    # Add streaming header
+    headers = {"x-raw-response": "stream"}
+    response = await async_client.post("/v1/audio/speech", json=test_request, headers=headers)
+    
+    assert response.status_code == 200
+    assert response.headers["content-type"] == "audio/pcm"
+    # Just verify status and content type
+    assert response.status_code == 200
+    assert response.headers["content-type"] == "audio/pcm"

api/tests/test_main.py

@@ -1,6 +1,6 @@
 """Tests for FastAPI application"""
 
-from unittest.mock import MagicMock, patch
+from unittest.mock import MagicMock, patch, call
 
 import pytest
 from fastapi.testclient import TestClient
@@ -39,8 +39,12 @@ async def test_lifespan_successful_warmup(mock_logger, mock_tts_model):
 
     # Verify the expected logging sequence
     mock_logger.info.assert_any_call("Loading TTS model and voice packs...")
-    mock_logger.info.assert_any_call("Model loaded and warmed up on cuda")
+    
-    mock_logger.info.assert_any_call("3 voice packs loaded successfully")
+    # Check for the startup message containing the required info
+    startup_calls = [call[0][0] for call in mock_logger.info.call_args_list]
+    startup_msg = next(msg for msg in startup_calls if "Model loaded and warmed up on" in msg)
+    assert "Model loaded and warmed up on cuda" in startup_msg
+    assert "3 voice packs loaded successfully" in startup_msg
 
     # Verify model setup was called
     mock_tts_model.setup.assert_called_once()