94f71853e0
* fix: implement microphone reconnection and audio buffer limits for reliability - Add microphone reconnection logic with exponential backoff - Implement audio buffer limits to prevent memory issues - Add configurable buffer size limits with clamping - Improve error handling for audio device failures - Add buffer statistics and monitoring capabilities - Graceful stream cleanup and resource management Resolves #92 Changes made: - Added _max_buffer_size, _reconnection_attempts, _max_reconnection_attempts attributes - Implemented _attempt_audio_reconnection() method with exponential backoff - Enhanced _record_audio() method with buffer limit checking and reconnection - Added set_buffer_limit() and get_buffer_stats() methods - Improved error handling for IOError/OSError during audio recording - Added test scripts to validate reliability improvements The implementation prevents memory issues by limiting audio buffer size and automatically reconnecting to audio devices when they fail, with proper exponential backoff to prevent rapid reconnection attempts. * fix: Address code review feedback for PR #109 - Add thread lock (_buffer_lock) for audio_buffer to prevent race conditions - Fix _last_audio_error_time reset in cleanup - Protect buffer access in stop_recognition and get_buffer_stats with lock - Fix test_max_reconnection_attempts to match actual counter behavior Addresses review feedback for microphone reconnection and audio buffer limits * style: fix lint errors * fix: add missing sys import in audio_feedback.py - Add sys import required by _is_ci_mode() function - Remove temporary test_reliability scripts * style: fix black formatting --------- Co-authored-by: OpenClaw Reviewer <review@openclaw.ai>
423 lines
16 KiB
Python
423 lines
16 KiB
Python
"""
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Tests for speech recognition functionality.
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"""
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import sys # noqa: F401
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import unittest
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from unittest.mock import MagicMock, patch
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# Create proper mock responses that can be safely JSON serialized
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MOCK_VOSK_RESULT = '{"text": "test transcription"}'
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# We need to patch the entire vosk Model class and KaldiRecognizer
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class MockModel:
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def __init__(self, path):
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pass
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class MockKaldiRecognizer:
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def __init__(self, model, rate):
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pass
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def AcceptWaveform(self, data):
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return True
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def FinalResult(self):
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return MOCK_VOSK_RESULT
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def PartialResult(self):
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return '{"partial": "test"}'
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# Create a proper mock vosk module that uses our custom classes
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class MockVoskModule:
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Model = MockModel
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KaldiRecognizer = MockKaldiRecognizer
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# Path modules before importing the recognition_manager
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sys.modules["vosk"] = MockVoskModule
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# Mock other required modules
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sys.modules["pyaudio"] = MagicMock()
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sys.modules["numpy"] = MagicMock()
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sys.modules["whisper"] = MagicMock()
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sys.modules["whisper"].load_model = MagicMock(return_value=MagicMock())
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sys.modules["torch"] = MagicMock()
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sys.modules["torch"].cuda.is_available = MagicMock(return_value=False)
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# Mock tempfile and wave modules to avoid file system issues
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mock_tempfile = MagicMock()
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mock_temp_file = MagicMock()
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mock_temp_file.name = "/tmp/tmpfile.wav"
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mock_temp_file.__enter__ = MagicMock(return_value=mock_temp_file)
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mock_temp_file.__exit__ = MagicMock(return_value=None)
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mock_tempfile.NamedTemporaryFile = MagicMock(return_value=mock_temp_file)
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sys.modules["tempfile"] = mock_tempfile
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mock_wave = MagicMock()
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mock_wave_file = MagicMock()
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mock_wave_file.__enter__ = MagicMock(return_value=mock_wave_file)
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mock_wave_file.__exit__ = MagicMock(return_value=None)
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mock_wave.open = MagicMock(return_value=mock_wave_file)
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sys.modules["wave"] = mock_wave
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# Import the shared mock from conftest
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from conftest import mock_audio_feedback # noqa: E402
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# Update import paths to use the new package structure
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from vocalinux.common_types import RecognitionState # noqa: E402
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from vocalinux.speech_recognition.recognition_manager import SpeechRecognitionManager # noqa: E402
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class TestSpeechRecognition(unittest.TestCase):
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"""Test cases for the speech recognition functionality."""
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def setUp(self):
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"""Set up for tests."""
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# Patch os.makedirs to avoid creating directories
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self.patcher_makedirs = patch("os.makedirs")
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self.mock_makedirs = self.patcher_makedirs.start()
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# Patch os.path.exists to return True for any path
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self.patcher_exists = patch("os.path.exists", return_value=True)
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self.mock_exists = self.patcher_exists.start()
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# Mock the command processor
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self.patcher_cmd = patch(
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"vocalinux.speech_recognition.recognition_manager.CommandProcessor"
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)
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self.mock_cmd_class = self.patcher_cmd.start()
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self.mock_cmd = MagicMock()
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self.mock_cmd_class.return_value = self.mock_cmd
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# Mock threading to avoid thread creation
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self.patcher_thread = patch(
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"vocalinux.speech_recognition.recognition_manager.threading.Thread"
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)
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self.mock_thread_class = self.patcher_thread.start()
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self.mock_thread = MagicMock()
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self.mock_thread_class.return_value = self.mock_thread
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# Use the module-level audio feedback mock
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self.mock_play_start = mock_audio_feedback.play_start_sound
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self.mock_play_stop = mock_audio_feedback.play_stop_sound
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self.mock_play_error = mock_audio_feedback.play_error_sound
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# Patch the download method for vosk models
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self.patcher_download = patch.object(SpeechRecognitionManager, "_download_vosk_model")
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self.mock_download = self.patcher_download.start()
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# Patch os.unlink to avoid file removal errors
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self.patcher_unlink = patch("os.unlink")
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self.mock_unlink = self.patcher_unlink.start()
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def tearDown(self):
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"""Clean up after tests."""
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self.patcher_makedirs.stop()
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self.patcher_exists.stop()
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self.patcher_cmd.stop()
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self.patcher_thread.stop()
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self.patcher_download.stop()
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self.patcher_unlink.stop()
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# Reset the audio feedback mocks for the next test
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mock_audio_feedback.reset_mock()
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def test_init_state(self):
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"""Test the initial state of the speech recognition manager."""
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# Test VOSK initialization
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manager = SpeechRecognitionManager(engine="vosk", model_size="small")
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# Verify initial state
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self.assertEqual(manager.state, RecognitionState.IDLE)
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self.assertEqual(manager.engine, "vosk")
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self.assertEqual(manager.model_size, "small")
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self.assertFalse(manager.should_record)
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self.assertEqual(manager.audio_buffer, [])
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self.assertEqual(manager.text_callbacks, [])
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self.assertEqual(manager.state_callbacks, [])
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self.assertEqual(manager.action_callbacks, [])
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# Test Whisper initialization with different model size
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manager = SpeechRecognitionManager(engine="whisper", model_size="medium")
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# Verify Whisper initialization
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self.assertEqual(manager.engine, "whisper")
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self.assertEqual(manager.model_size, "medium")
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# Test invalid engine
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with self.assertRaises(ValueError):
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SpeechRecognitionManager(engine="invalid")
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def test_callbacks(self):
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"""Test registering and using callbacks."""
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manager = SpeechRecognitionManager(engine="vosk")
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# Replace recognizer with a mock that returns proper JSON
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mock_recognizer = MagicMock()
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mock_recognizer.FinalResult.return_value = MOCK_VOSK_RESULT
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mock_recognizer.AcceptWaveform.return_value = True
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manager.recognizer = mock_recognizer
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# Create mock callbacks
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text_callback = MagicMock()
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state_callback = MagicMock()
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action_callback = MagicMock()
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# Register callbacks
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manager.register_text_callback(text_callback)
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manager.register_state_callback(state_callback)
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manager.register_action_callback(action_callback)
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# Verify callbacks were registered
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self.assertEqual(manager.text_callbacks, [text_callback])
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self.assertEqual(manager.state_callbacks, [state_callback])
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self.assertEqual(manager.action_callbacks, [action_callback])
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# Test state update
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manager._update_state(RecognitionState.LISTENING)
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self.assertEqual(manager.state, RecognitionState.LISTENING)
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state_callback.assert_called_once_with(RecognitionState.LISTENING)
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# Test text processing with callbacks
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# Setup command processor mock return values
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self.mock_cmd.process_text.return_value = ("processed text", ["action1"])
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# Prepare audio buffer for processing
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manager.audio_buffer = [b"audio_data"]
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# Process the buffer
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manager._process_final_buffer()
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# Verify command processor was called
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self.mock_cmd.process_text.assert_called_once_with("test transcription")
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# Verify text callback was called
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text_callback.assert_called_once_with("processed text")
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# Verify action callback was called
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action_callback.assert_called_once_with("action1")
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def test_vosk_model_path(self):
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"""Test getting the VOSK model path based on size."""
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with patch.object(SpeechRecognitionManager, "_get_vosk_model_path") as mock_get_path:
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# Test small model size
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mock_get_path.return_value = "/path/to/vosk-model-small-en-us-0.15"
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_ = SpeechRecognitionManager(engine="vosk", model_size="small")
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# Verify the small model path is constructed correctly
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mock_get_path.assert_called_with()
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# Test medium model size
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mock_get_path.return_value = "/path/to/vosk-model-en-us-0.22"
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_ = SpeechRecognitionManager(engine="vosk", model_size="medium")
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# Verify the medium model path is constructed correctly
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mock_get_path.assert_called_with()
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# Test large model size
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mock_get_path.return_value = "/path/to/vosk-model-en-us-0.42"
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_ = SpeechRecognitionManager(engine="vosk", model_size="large")
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# Verify the large model path is constructed correctly
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mock_get_path.assert_called_with()
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def test_download_vosk_model(self):
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"""Test downloading VOSK model."""
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# Make os.path.exists return False to trigger download
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with patch("os.path.exists", return_value=False):
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# Instantiate manager with defer_download=False to trigger download
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_ = SpeechRecognitionManager(engine="vosk", model_size="small", defer_download=False)
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# Verify download was attempted
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self.mock_download.assert_called_once()
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def test_start_recognition(self):
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"""Test starting speech recognition."""
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# Create a manager
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manager = SpeechRecognitionManager(engine="vosk")
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# Reset mock for clean test
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self.mock_thread_class.reset_mock()
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self.mock_play_start.reset_mock()
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# Start recognition
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manager.start_recognition()
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# Verify state changed
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self.assertEqual(manager.state, RecognitionState.LISTENING)
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# Verify start sound was played
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self.mock_play_start.assert_called_once()
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# Verify recording flag was set
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self.assertTrue(manager.should_record)
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# Verify threads were started
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self.assertEqual(self.mock_thread_class.call_count, 2)
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self.mock_thread.start.assert_called()
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# Try starting when already listening
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self.mock_thread_class.reset_mock()
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manager.start_recognition()
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# Should not start again
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self.mock_thread_class.assert_not_called()
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def test_stop_recognition(self):
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"""Test stopping speech recognition."""
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# Create a manager
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manager = SpeechRecognitionManager(engine="vosk")
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# Setup manager state
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manager.state = RecognitionState.LISTENING
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manager.should_record = True
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manager.audio_thread = self.mock_thread
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manager.recognition_thread = self.mock_thread
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# Reset mocks
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self.mock_play_stop.reset_mock()
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# Stop recognition
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manager.stop_recognition()
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# Verify state changed
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self.assertEqual(manager.state, RecognitionState.IDLE)
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# Verify stop sound was played
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self.mock_play_stop.assert_called_once()
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# Verify recording flag was cleared
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self.assertFalse(manager.should_record)
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# Verify threads were joined
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self.mock_thread.join.assert_called()
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def test_record_audio(self):
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"""Test recording audio with simulated voice activity."""
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# This test would be complex due to audio processing, just test basic setup
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manager = SpeechRecognitionManager(engine="vosk")
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manager.should_record = True
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# Skip detailed testing of the audio recording function
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self.assertTrue(hasattr(manager, "_record_audio"))
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def test_process_final_buffer_vosk(self):
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"""Test processing the final audio buffer with VOSK."""
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# Setup manager
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manager = SpeechRecognitionManager(engine="vosk")
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# Replace recognizer with a mock that returns proper JSON
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mock_recognizer = MagicMock()
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mock_recognizer.FinalResult.return_value = MOCK_VOSK_RESULT
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mock_recognizer.AcceptWaveform.return_value = True
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manager.recognizer = mock_recognizer
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# Setup command processor mock
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self.mock_cmd.process_text.return_value = ("processed text", ["action1"])
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# Register mock callbacks
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text_callback = MagicMock()
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action_callback = MagicMock()
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manager.register_text_callback(text_callback)
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manager.register_action_callback(action_callback)
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# Prepare audio buffer
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manager.audio_buffer = [b"audio_data1", b"audio_data2"]
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# Process the buffer
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manager._process_final_buffer()
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# Verify command processor was called
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self.mock_cmd.process_text.assert_called_once_with("test transcription")
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# Verify callbacks were called
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text_callback.assert_called_once_with("processed text")
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action_callback.assert_called_once_with("action1")
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def test_process_final_buffer_whisper(self):
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"""Test processing the final audio buffer with Whisper."""
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# Skip the problematic file operations by creating a mock implementation
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# of the _process_final_buffer method
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with patch.object(SpeechRecognitionManager, "_process_final_buffer") as mock_process:
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# Setup manager with whisper engine (this should work now with mocked torch)
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manager = SpeechRecognitionManager(engine="whisper")
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# Setup side effect function that will be called when _process_final_buffer is called
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def process_side_effect():
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# Simulate processing the result through command processor
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processed_text, actions = self.mock_cmd.process_text("whisper transcription")
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# Call callbacks as the real method would
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for callback in manager.text_callbacks:
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callback(processed_text)
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for callback in manager.action_callbacks:
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for action in actions:
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callback(action)
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# Set the side effect
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mock_process.side_effect = process_side_effect
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# Set up a mock model just for completeness
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whisper_model = MagicMock()
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whisper_model.transcribe.return_value = {"text": "whisper transcription"}
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manager.model = whisper_model
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# Setup command processor mock
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self.mock_cmd.process_text.return_value = ("processed whisper", ["action2"])
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# Register mock callbacks
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text_callback = MagicMock()
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action_callback = MagicMock()
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manager.register_text_callback(text_callback)
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manager.register_action_callback(action_callback)
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# Prepare audio buffer (not actually used because we're mocking the method)
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manager.audio_buffer = [b"audio_data1", b"audio_data2"]
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# Call the mocked process method
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manager._process_final_buffer()
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# Verify command processor was called with expected text
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self.mock_cmd.process_text.assert_called_once_with("whisper transcription")
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# Verify callbacks were called with expected values
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text_callback.assert_called_once_with("processed whisper")
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action_callback.assert_called_once_with("action2")
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def test_empty_buffer(self):
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"""Test processing an empty buffer."""
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# Setup manager
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manager = SpeechRecognitionManager(engine="vosk")
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# Process empty buffer
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manager.audio_buffer = []
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manager._process_final_buffer()
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# Verify command processor was not called
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self.mock_cmd.process_text.assert_not_called()
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def test_configure(self):
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"""Test configuring recognition parameters."""
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# Setup manager
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manager = SpeechRecognitionManager(engine="vosk")
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# Default values
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self.assertEqual(manager.vad_sensitivity, 3)
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self.assertEqual(manager.silence_timeout, 2.0)
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# Configure with valid values
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manager.reconfigure(vad_sensitivity=4, silence_timeout=1.5)
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self.assertEqual(manager.vad_sensitivity, 4)
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self.assertEqual(manager.silence_timeout, 1.5)
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# Configure with out-of-range values
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manager.reconfigure(vad_sensitivity=10, silence_timeout=10.0)
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self.assertEqual(manager.vad_sensitivity, 5) # Clamped to max
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self.assertEqual(manager.silence_timeout, 5.0) # Clamped to max
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manager.reconfigure(vad_sensitivity=0, silence_timeout=0.2)
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self.assertEqual(manager.vad_sensitivity, 1) # Clamped to min
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self.assertEqual(manager.silence_timeout, 0.5) # Clamped to min
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