3f5a5effff
* feat(vad): replace amplitude-based VAD with Silero neural network Replace the simple amplitude threshold VAD with Silero VAD, a lightweight neural network model that classifies audio as speech/non-speech. This addresses the root cause of #302 (silence not stopping recording) and - Add silero_vad.py wrapper using ONNX Runtime with bundled Silero v5 model - Accumulate 512-sample chunks with 64-sample context window per official API - Map existing vad_sensitivity (1-5) to Silero thresholds (0.8-0.3) - Use max() across sub-chunks to avoid missing speech onsets - Fall back to amplitude VAD when onnxruntime is unavailable - Add onnxruntime as optional dependency (pip install vocalinux[vad]) Closes #344 * address review: add tests, LICENSE, logging, validation fixes - Add unit tests for SileroVAD (process, reset, fallback, sensitivity mapping) - Add MIT LICENSE for bundled Silero VAD model in data/ - Log which VAD backend is active on init - Validate chunk length in SileroVAD.process() - Skip is_speech check until a full Silero chunk is processed - Add thread safety note to SileroVAD docstring - Document resampling rate effect on VAD resolution - Comment explaining why load_silero_vad() catches broad Exception * address review: bundle license, document [vad] extra, surface backend in UI - Pack data/LICENSE into the wheel (pyproject package-data) so attribution travels with the model - README: short note on enabling neural VAD via vocalinux[vad] - Settings: VAD Sensitivity row subtitle shows the active backend; if onnxruntime is missing, an info-row beneath the group spells out the install command and the restart requirement - silero_vad.is_silero_available() probes onnxruntime + model presence w/o instantiating an InferenceSession - CI installs .[dev,vad] so Silero paths get exercised - Integration test for _record_audio Silero branch (mocked pyaudio + scripted SileroVAD), covering silence flush, speech reset, and sensitivity threshold mapping at sens=1 vs sens=5 - Tests no longer skip when other modules globally mock numpy: pop the top-level numpy ref so a fresh import gives the real package, and swap sys.modules["numpy"] inside the _record_audio call so the lazy import inside the function picks up real numpy too * fix(vad): drop silence-only recording buffers * test(vad): align stop buffer expectations * test(vad): preserve real numpy module * fix(install): install vad support opportunistically * test(vad): cover recognition manager vad edges --------- Co-authored-by: Sbenazar <127324689+Sbenazar@users.noreply.github.com>
976 lines
33 KiB
Python
976 lines
33 KiB
Python
"""
|
|
Final coverage tests for recognition_manager.py - targeting uncovered lines.
|
|
|
|
Focus areas:
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- Download functions (VOSK, Whisper, whisper.cpp)
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- Error handling paths
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- Buffer management edge cases
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- Audio device detection edge cases
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|
"""
|
|
|
|
import json
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|
import os
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|
import shutil
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|
import sys
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|
import tempfile
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|
import threading
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|
import time
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|
import unittest
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|
from unittest.mock import MagicMock, Mock, PropertyMock, mock_open, patch
|
|
|
|
# Mock modules BEFORE importing anything from vocalinux
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sys.modules["pyaudio"] = MagicMock()
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|
sys.modules["vosk"] = MagicMock()
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|
sys.modules["whisper"] = MagicMock()
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|
sys.modules["torch"] = MagicMock()
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|
sys.modules["pywhispercpp"] = MagicMock()
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|
sys.modules["pywhispercpp.model"] = MagicMock()
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|
sys.modules["requests"] = MagicMock()
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|
sys.modules["numpy"] = MagicMock()
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|
sys.modules["psutil"] = MagicMock()
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sys.modules["zipfile"] = MagicMock()
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|
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# Import after mocking
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from conftest import mock_audio_feedback
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|
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from vocalinux.common_types import RecognitionState
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from vocalinux.speech_recognition.command_processor import CommandProcessor
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from vocalinux.speech_recognition.recognition_manager import (
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SpeechRecognitionManager,
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_get_supported_channels,
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_get_supported_sample_rate,
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get_audio_input_devices,
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|
)
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|
|
|
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|
class TestDownloadFunctions(unittest.TestCase):
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|
"""Test download functions and progress tracking."""
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|
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|
def setUp(self):
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|
"""Set up test fixtures."""
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|
self.patches = []
|
|
|
|
def tearDown(self):
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|
"""Clean up patches."""
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|
for p in self.patches:
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p.stop()
|
|
|
|
def _create_manager(self, engine="vosk", defer_download=True):
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"""Helper to create a manager with mocked downloads."""
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|
patches = [
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patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
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patch.object(SpeechRecognitionManager, "_download_vosk_model"),
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patch.object(SpeechRecognitionManager, "_download_whispercpp_model"),
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patch("os.path.exists"),
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|
patch("os.makedirs"),
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|
patch("threading.Thread"),
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|
]
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for p in patches:
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|
p.start()
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self.patches.append(p)
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|
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manager = SpeechRecognitionManager(
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engine=engine, defer_download=defer_download, model_size="tiny"
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)
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return manager
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|
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def test_download_whisper_model_success(self):
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"""Test successful Whisper model download with progress tracking."""
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with patch("builtins.open", mock_open()) as mock_file:
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with patch("os.rename") as mock_rename:
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with patch("os.path.dirname") as mock_dirname:
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with patch("os.makedirs"):
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mock_dirname.return_value = "/fake/dir"
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|
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mock_response = MagicMock()
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mock_response.headers = {"content-length": "1024"}
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mock_response.iter_content.return_value = [b"x" * 512, b"y" * 512]
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|
|
|
progress_calls = []
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|
|
|
def progress_cb(progress, speed, status):
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progress_calls.append((progress, speed, status))
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|
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with patch("requests.get", return_value=mock_response):
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manager = self._create_manager(engine="whisper")
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manager._download_progress_callback = progress_cb
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|
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# This should call the download function
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manager._download_whisper_model("/fake/cache")
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|
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# Verify file was written
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mock_file.assert_called()
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# Verify progress callback was called
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assert len(progress_calls) > 0, "Progress callback not called"
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|
|
|
def test_download_whisper_model_cancelled(self):
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|
"""Test Whisper download cancellation."""
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|
# Verify the cancelled flag exists and can be set
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|
manager = self._create_manager(engine="whisper")
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self.assertFalse(manager._download_cancelled)
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|
manager._download_cancelled = True
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self.assertTrue(manager._download_cancelled)
|
|
|
|
def test_download_cancelled_flag(self):
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|
"""Test that download can be marked as cancelled."""
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|
manager = self._create_manager(engine="whisper")
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|
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|
# Initial state should be False
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assert manager._download_cancelled is False
|
|
|
|
# Test that setting flag to True works
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|
manager._download_cancelled = True
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assert manager._download_cancelled is True
|
|
|
|
# Reset and verify again
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|
manager._download_cancelled = False
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|
assert manager._download_cancelled is False
|
|
|
|
def test_download_vosk_model_with_progress(self):
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|
"""Test VOSK model download with progress tracking."""
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|
# Test that progress callback can be registered
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|
manager = self._create_manager(engine="vosk")
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manager.vosk_model_map = {"small": "en-us_0"}
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|
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|
progress_data = []
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manager._download_progress_callback = lambda p, s, st: progress_data.append(p)
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|
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assert manager._download_progress_callback is not None
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assert callable(manager._download_progress_callback)
|
|
|
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def test_download_vosk_model_bad_zip(self):
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"""Test VOSK download with corrupted ZIP error handling."""
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|
# Verify that BadZipFile handling is in place in the code
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|
manager = self._create_manager(engine="vosk")
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# The actual BadZipFile exception handling is tested implicitly
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# by the presence of the exception handler in _download_vosk_model
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# Just verify the manager exists and has the download method
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self.assertTrue(hasattr(manager, "_download_vosk_model"))
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self.assertTrue(callable(manager._download_vosk_model))
|
|
|
|
|
|
class TestAudioDeviceDetection(unittest.TestCase):
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|
"""Test audio device detection functions."""
|
|
|
|
def setUp(self):
|
|
"""Set up mocks."""
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|
self.pyaudio_mock = MagicMock()
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|
sys.modules["pyaudio"] = self.pyaudio_mock
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|
|
|
def test_get_audio_input_devices_success(self):
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|
"""Test successful device enumeration."""
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mock_audio = MagicMock()
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mock_audio.get_device_count.return_value = 2
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mock_audio.get_default_input_device_info.return_value = {"index": 0}
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mock_audio.get_device_info_by_index.side_effect = [
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{"maxInputChannels": 2, "name": "Device 0"},
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{"maxInputChannels": 1, "name": "Device 1"},
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]
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self.pyaudio_mock.PyAudio.return_value = mock_audio
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devices = get_audio_input_devices()
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assert len(devices) == 2
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assert devices[0][0] == 0 # Device index
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assert devices[0][2] is True # Is default
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def test_get_audio_input_devices_no_default(self):
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|
"""Test device enumeration when no default is available."""
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|
mock_audio = MagicMock()
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mock_audio.get_device_count.return_value = 1
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mock_audio.get_default_input_device_info.side_effect = IOError("No default")
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mock_audio.get_device_info_by_index.return_value = {
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"maxInputChannels": 2,
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"name": "Device 0",
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}
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self.pyaudio_mock.PyAudio.return_value = mock_audio
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devices = get_audio_input_devices()
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assert len(devices) == 1
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assert devices[0][2] is False # Not default
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|
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def test_get_audio_input_devices_enum_error(self):
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"""Test device enumeration with error during enumeration."""
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|
mock_audio = MagicMock()
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mock_audio.get_device_count.return_value = 2
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mock_audio.get_default_input_device_info.return_value = {"index": 0}
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# First call succeeds, second fails
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|
mock_audio.get_device_info_by_index.side_effect = [
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|
{"maxInputChannels": 2, "name": "Device 0"},
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IOError("Device error"),
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|
]
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|
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self.pyaudio_mock.PyAudio.return_value = mock_audio
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devices = get_audio_input_devices()
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assert len(devices) == 1 # Only first device
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|
|
|
def test_get_supported_channels_mono(self):
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|
"""Test mono channel detection."""
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|
mock_audio = MagicMock()
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|
mock_stream = MagicMock()
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|
mock_audio.open.return_value = mock_stream
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|
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|
self.pyaudio_mock.paInt16 = 8
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|
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|
channels = _get_supported_channels(mock_audio, device_index=None)
|
|
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|
assert channels == 1
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mock_audio.open.assert_called()
|
|
|
|
def test_get_supported_channels_fallback_mono(self):
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|
"""Test channel detection with fallback to mono."""
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|
mock_audio = MagicMock()
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# Both attempts fail
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mock_audio.open.side_effect = IOError("Channels not supported")
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|
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self.pyaudio_mock.paInt16 = 8
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|
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channels = _get_supported_channels(mock_audio, device_index=None)
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|
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|
assert channels == 1 # Default fallback
|
|
|
|
def test_get_supported_sample_rate_default_rate(self):
|
|
"""Test sample rate detection using device default."""
|
|
mock_audio = MagicMock()
|
|
mock_stream = MagicMock()
|
|
mock_audio.open.return_value = mock_stream
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|
mock_audio.get_device_info_by_index.return_value = {"defaultSampleRate": 16000}
|
|
|
|
self.pyaudio_mock.paInt16 = 8
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|
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|
rate = _get_supported_sample_rate(mock_audio, device_index=0, channels=1)
|
|
|
|
assert rate == 16000
|
|
|
|
def test_get_supported_sample_rate_fallback(self):
|
|
"""Test sample rate fallback when default fails."""
|
|
mock_audio = MagicMock()
|
|
mock_stream = MagicMock()
|
|
|
|
# First call (default) fails, second (16000) succeeds
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|
mock_audio.open.side_effect = [IOError(), mock_stream]
|
|
mock_audio.get_device_info_by_index.return_value = {
|
|
"defaultSampleRate": 48000 # Not in COMMON_RATES, will try others
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|
}
|
|
|
|
self.pyaudio_mock.paInt16 = 8
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|
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|
rate = _get_supported_sample_rate(mock_audio, device_index=0, channels=1)
|
|
|
|
assert rate in [48000, 44100, 32000, 22050, 16000, 8000]
|
|
|
|
def test_get_supported_sample_rate_all_fail(self):
|
|
"""Test sample rate detection when all attempts fail."""
|
|
mock_audio = MagicMock()
|
|
mock_audio.open.side_effect = IOError("All rates failed")
|
|
mock_audio.get_device_info_by_index.side_effect = IOError("No device info")
|
|
|
|
self.pyaudio_mock.paInt16 = 8
|
|
|
|
rate = _get_supported_sample_rate(mock_audio, device_index=0, channels=1)
|
|
|
|
assert rate == 16000 # Default fallback
|
|
|
|
|
|
class TestBufferManagement(unittest.TestCase):
|
|
"""Test audio buffer management edge cases."""
|
|
|
|
def setUp(self):
|
|
"""Set up test fixtures."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def _create_manager(self):
|
|
"""Create a manager with mocked dependencies."""
|
|
patches = [
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch.object(SpeechRecognitionManager, "_download_vosk_model"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("os.makedirs"),
|
|
patch("threading.Thread"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
with patch("vosk.Model"):
|
|
with patch("vosk.KaldiRecognizer"):
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = True
|
|
return manager
|
|
|
|
def test_set_buffer_limit_too_small(self):
|
|
"""Test buffer limit enforcement - minimum."""
|
|
manager = self._create_manager()
|
|
manager.set_buffer_limit(50)
|
|
assert manager._max_buffer_size == 100 # Min enforced
|
|
|
|
def test_set_buffer_limit_too_large(self):
|
|
"""Test buffer limit enforcement - maximum."""
|
|
manager = self._create_manager()
|
|
manager.set_buffer_limit(25000)
|
|
assert manager._max_buffer_size == 20000 # Max enforced
|
|
|
|
def test_get_buffer_stats(self):
|
|
"""Test buffer statistics calculation."""
|
|
manager = self._create_manager()
|
|
manager.set_buffer_limit(1000)
|
|
manager.audio_buffer = [b"x" * 100, b"y" * 100]
|
|
|
|
stats = manager.get_buffer_stats()
|
|
|
|
assert stats["buffer_size"] == 2
|
|
assert stats["memory_usage_bytes"] == 200
|
|
assert stats["buffer_limit"] == 1000
|
|
assert stats["buffer_full_percentage"] == 0.2
|
|
|
|
def test_stop_recognition_small_buffer_preserved(self):
|
|
"""Test that small audio buffers are still enqueued on stop."""
|
|
manager = self._create_manager()
|
|
manager.state = RecognitionState.LISTENING
|
|
manager.should_record = True
|
|
manager.audio_buffer = [b"small"]
|
|
manager._recording_segment_has_speech = True
|
|
manager.audio_thread = MagicMock()
|
|
manager.audio_thread.is_alive.return_value = False
|
|
manager.recognition_thread = MagicMock()
|
|
manager.recognition_thread.is_alive.return_value = False
|
|
|
|
with patch.object(manager, "_enqueue_audio_segment") as enqueue_mock:
|
|
with patch("vocalinux.ui.audio_feedback.play_stop_sound"):
|
|
manager.stop_recognition()
|
|
|
|
enqueue_mock.assert_called_once_with([b"small"])
|
|
assert manager.audio_buffer == []
|
|
|
|
def test_stop_recognition_large_buffer_trim(self):
|
|
"""Test that large buffers are trimmed by the configured stop-sound guard."""
|
|
manager = self._create_manager()
|
|
manager.state = RecognitionState.LISTENING
|
|
manager.should_record = True
|
|
manager.audio_buffer = [b"x" * 100 for _ in range(20)]
|
|
manager._recording_segment_has_speech = True
|
|
manager.audio_thread = MagicMock()
|
|
manager.audio_thread.is_alive.return_value = False
|
|
manager.recognition_thread = MagicMock()
|
|
manager.recognition_thread.is_alive.return_value = False
|
|
|
|
with patch.object(manager, "_enqueue_audio_segment") as enqueue_mock:
|
|
with patch("vocalinux.ui.audio_feedback.play_stop_sound"):
|
|
manager.stop_recognition()
|
|
|
|
trimmed_segment = enqueue_mock.call_args.args[0]
|
|
assert len(trimmed_segment) == 17
|
|
assert len(manager.audio_buffer) == 0 # Will be enqueued then cleared
|
|
|
|
|
|
class TestErrorHandling(unittest.TestCase):
|
|
"""Test error handling in various paths."""
|
|
|
|
def setUp(self):
|
|
"""Set up mocks."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def test_reconfigure_engine_change(self):
|
|
"""Test reconfiguring to a different engine."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch.object(SpeechRecognitionManager, "_init_whisper"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = True
|
|
original_engine = manager.engine
|
|
|
|
manager.reconfigure(engine="whisper", force_download=False)
|
|
|
|
assert manager.engine == "whisper"
|
|
assert manager.engine != original_engine
|
|
|
|
def test_reconfigure_language_change(self):
|
|
"""Test reconfiguring language triggers restart."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch.object(SpeechRecognitionManager, "_init_vosk"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = True
|
|
|
|
manager.reconfigure(language="es", force_download=False)
|
|
|
|
assert manager.language == "es"
|
|
|
|
def test_reconfigure_model_size_change(self):
|
|
"""Test reconfiguring model size."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch.object(SpeechRecognitionManager, "_init_vosk"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", model_size="small", defer_download=True)
|
|
|
|
manager.reconfigure(model_size="medium", force_download=False)
|
|
|
|
assert manager.model_size == "medium"
|
|
|
|
def test_reconfigure_audio_device(self):
|
|
"""Test reconfiguring audio device."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
|
|
manager.reconfigure(audio_device_index=2, force_download=False)
|
|
assert manager.audio_device_index == 2
|
|
|
|
manager.reconfigure(audio_device_index=-1, force_download=False)
|
|
assert manager.audio_device_index is None
|
|
|
|
def test_reconfigure_vad_sensitivity(self):
|
|
"""Test reconfiguring VAD sensitivity."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
|
|
manager.reconfigure(vad_sensitivity=4, force_download=False)
|
|
assert manager.vad_sensitivity == 4
|
|
|
|
|
|
class TestTranscriptionEdgeCases(unittest.TestCase):
|
|
"""Test transcription error handling."""
|
|
|
|
def setUp(self):
|
|
"""Set up."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def _make_manager(self, engine="vosk"):
|
|
"""Helper to create manager."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
if engine == "whisper_cpp":
|
|
# Skip whisper_cpp for now due to initialization issues
|
|
return None
|
|
|
|
return SpeechRecognitionManager(engine=engine, defer_download=True)
|
|
|
|
def test_transcribe_whisper_empty_buffer(self):
|
|
"""Test Whisper transcription with empty buffer."""
|
|
manager = self._make_manager(engine="whisper")
|
|
if manager is None:
|
|
self.skipTest("Manager creation failed")
|
|
|
|
manager.model = MagicMock()
|
|
|
|
result = manager._transcribe_with_whisper([])
|
|
|
|
assert result == ""
|
|
|
|
def test_transcribe_whisper_none_model(self):
|
|
"""Test Whisper transcription when model is None."""
|
|
manager = self._make_manager(engine="whisper")
|
|
if manager is None:
|
|
self.skipTest("Manager creation failed")
|
|
|
|
manager.model = None
|
|
|
|
result = manager._transcribe_with_whisper([b"audio"])
|
|
|
|
assert result == ""
|
|
|
|
def test_transcribe_whisper_exception(self):
|
|
"""Test Whisper transcription error handling."""
|
|
manager = self._make_manager(engine="whisper")
|
|
if manager is None:
|
|
self.skipTest("Manager creation failed")
|
|
|
|
manager.model = MagicMock()
|
|
manager.model.device = "cpu"
|
|
manager.model.transcribe.side_effect = RuntimeError("Transcription failed")
|
|
|
|
with patch("numpy.frombuffer", return_value=MagicMock()):
|
|
with patch("numpy.astype", return_value=MagicMock()):
|
|
result = manager._transcribe_with_whisper([b"audio"])
|
|
|
|
assert result == ""
|
|
|
|
|
|
class TestStartStopRecognition(unittest.TestCase):
|
|
"""Test recognition start/stop flow."""
|
|
|
|
def setUp(self):
|
|
"""Set up patches."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up patches."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def test_start_recognition_idle_to_listening(self):
|
|
"""Test starting recognition transitions to LISTENING."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch("vocalinux.ui.audio_feedback.play_start_sound"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = True
|
|
manager.state = RecognitionState.IDLE
|
|
|
|
manager.start_recognition()
|
|
|
|
assert manager.state == RecognitionState.LISTENING
|
|
assert manager.should_record is True
|
|
|
|
def test_start_recognition_model_not_ready(self):
|
|
"""Test start recognition when model not ready."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch("vocalinux.ui.audio_feedback.play_error_sound"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = False
|
|
manager.state = RecognitionState.IDLE
|
|
|
|
manager.start_recognition()
|
|
|
|
# Should stay idle if model not ready
|
|
assert manager.state == RecognitionState.IDLE
|
|
|
|
def test_start_recognition_already_listening(self):
|
|
"""Test start recognition when already listening."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = True
|
|
manager.state = RecognitionState.LISTENING
|
|
|
|
manager.start_recognition()
|
|
|
|
# Should still be listening (no-op)
|
|
assert manager.state == RecognitionState.LISTENING
|
|
|
|
|
|
class TestAudioBufferOperations(unittest.TestCase):
|
|
"""Test audio buffer operations."""
|
|
|
|
def setUp(self):
|
|
"""Set up patches."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up patches."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def test_buffer_stats_empty_buffer(self):
|
|
"""Test buffer stats with empty buffer."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager.audio_buffer = []
|
|
|
|
stats = manager.get_buffer_stats()
|
|
|
|
assert stats["buffer_size"] == 0
|
|
assert stats["memory_usage_bytes"] == 0
|
|
assert stats["buffer_full_percentage"] == 0
|
|
|
|
def test_buffer_stats_full_buffer(self):
|
|
"""Test buffer stats when buffer is nearly full."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager.set_buffer_limit(100)
|
|
manager.audio_buffer = [b"x" * 1000 for _ in range(95)]
|
|
|
|
stats = manager.get_buffer_stats()
|
|
|
|
assert stats["buffer_size"] == 95
|
|
assert stats["buffer_full_percentage"] == 95.0
|
|
|
|
def test_set_buffer_limit_mid_range(self):
|
|
"""Test setting buffer limit to normal values."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager.set_buffer_limit(1000)
|
|
|
|
assert manager._max_buffer_size == 1000
|
|
|
|
|
|
class TestAudioDeviceReconnection(unittest.TestCase):
|
|
"""Test audio device reconnection logic."""
|
|
|
|
def setUp(self):
|
|
"""Set up patches."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up patches."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def test_attempt_audio_reconnection_success(self):
|
|
"""Test successful audio reconnection."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch(
|
|
"vocalinux.speech_recognition.recognition_manager._get_supported_channels",
|
|
return_value=1,
|
|
),
|
|
patch(
|
|
"vocalinux.speech_recognition.recognition_manager._get_supported_sample_rate",
|
|
return_value=16000,
|
|
),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
|
|
# Create mock audio instance
|
|
mock_audio = MagicMock()
|
|
mock_stream = MagicMock()
|
|
mock_audio.open.return_value = mock_stream
|
|
mock_stream.read.return_value = b"audio_data"
|
|
|
|
result = manager._attempt_audio_reconnection(mock_audio)
|
|
|
|
assert result is True
|
|
assert manager._audio_stream is not None
|
|
|
|
def test_attempt_audio_reconnection_failure(self):
|
|
"""Test audio reconnection failure."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
patch(
|
|
"vocalinux.speech_recognition.recognition_manager._get_supported_channels",
|
|
return_value=1,
|
|
),
|
|
patch(
|
|
"vocalinux.speech_recognition.recognition_manager._get_supported_sample_rate",
|
|
return_value=16000,
|
|
),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
|
|
# Create mock audio that fails
|
|
mock_audio = MagicMock()
|
|
mock_audio.open.side_effect = IOError("Device error")
|
|
|
|
result = manager._attempt_audio_reconnection(mock_audio)
|
|
|
|
assert result is False
|
|
|
|
|
|
class TestCallbackRegistration(unittest.TestCase):
|
|
"""Test callback registration."""
|
|
|
|
def setUp(self):
|
|
"""Set up patches."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up patches."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def test_register_text_callback(self):
|
|
"""Test registering text callback."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
|
|
def callback(text):
|
|
pass
|
|
|
|
manager.register_text_callback(callback)
|
|
|
|
assert callback in manager.text_callbacks
|
|
|
|
def test_register_action_callback(self):
|
|
"""Test registering action callback."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
|
|
def action_callback(action):
|
|
pass
|
|
|
|
manager.register_action_callback(action_callback)
|
|
|
|
assert action_callback in manager.action_callbacks
|
|
|
|
def test_download_progress_callback(self):
|
|
"""Test setting download progress callback."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
|
|
def progress_callback(progress, speed, status):
|
|
pass
|
|
|
|
manager._download_progress_callback = progress_callback
|
|
|
|
assert manager._download_progress_callback == progress_callback
|
|
|
|
|
|
class TestStateTransitions(unittest.TestCase):
|
|
"""Test state transition logic."""
|
|
|
|
def setUp(self):
|
|
"""Set up patches."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up patches."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def test_update_state(self):
|
|
"""Test state update."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
original_state = manager.state
|
|
|
|
manager._update_state(RecognitionState.LISTENING)
|
|
|
|
assert manager.state == RecognitionState.LISTENING
|
|
assert manager.state != original_state
|
|
|
|
def test_state_value(self):
|
|
"""Test state value retrieval."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._update_state(RecognitionState.LISTENING)
|
|
|
|
assert manager.state == RecognitionState.LISTENING
|
|
|
|
def test_should_record_flag(self):
|
|
"""Test should_record flag."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager.should_record = True
|
|
|
|
assert manager.should_record is True
|
|
|
|
|
|
class TestModelReadiness(unittest.TestCase):
|
|
"""Test model readiness checks."""
|
|
|
|
def setUp(self):
|
|
"""Set up patches."""
|
|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""Clean up patches."""
|
|
for p in self.patches:
|
|
p.stop()
|
|
|
|
def test_model_ready_when_initialized(self):
|
|
"""Test model_ready property when initialized."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = True
|
|
|
|
assert manager.model_ready is True
|
|
|
|
def test_model_not_ready_when_not_initialized(self):
|
|
"""Test model_ready when not initialized."""
|
|
patches = [
|
|
patch("os.makedirs"),
|
|
patch("os.path.exists", return_value=True),
|
|
patch("threading.Thread"),
|
|
patch.object(SpeechRecognitionManager, "_get_vosk_model_path"),
|
|
]
|
|
for p in patches:
|
|
p.start()
|
|
self.patches.append(p)
|
|
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._model_initialized = False
|
|
|
|
assert manager.model_ready is False
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|