* fix(audio): bound capture reads and support cancellation * fix(recognition): bound and serialize capture shutdown * fix(recognition): cancel retries and report stalled microphones * fix(audio): prefer pulse when the ALSA default is unavailable * fix(recognition): guard late callbacks and finalize capture tests * docs(audio): explain input selection and stall recovery * fix(speech): enforce auto-pause across buffered reload timeouts * fix(speech): recover auto-resume after reload timeout * test(speech): fix auto-pause follow-up test regressions * fix(speech): retain auto-resume after reconfigure timeout * fix(tray): preserve auto-pause recovery across suspend * test(capture-shutdown): give the bare tray the suspend path's shortcut managers _on_system_suspend now releases the main and per-language hotkey listeners before sleep (#1025); the fixture builds TrayIndicator without __init__, so it needs the two attributes present. * fix(tray): release hotkey listeners on suspend even while auto-paused Merging #1025's suspend cleanup with this branch's auto-pause handoff left an early return that skipped shortcut_manager.stop() whenever a configured game was active, keeping EVIOCGRABs held through sleep. The paused branch now only owns the model-lifecycle work; listener release and stopping active recognition run for every suspend. * fix(tray): hold the apply lock only around the download's verify and save Wrapping the whole recommended-model download in _apply_settings_lock blocked every GTK-thread settings apply (e.g. Test Dictation) for the length of the transfer. The engine already serializes reconfigures, so the lock only needs to cover verifying the download still owns the receipt and saving it; an apply that lands mid-download now proceeds instead of freezing the app. --------- Co-authored-by: Jatin K Malik <jatinkrmalik@gmail.com>
1355 lines
48 KiB
Python
1355 lines
48 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 contextlib import ExitStack
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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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import vocalinux.speech_recognition.recognition_manager as recognition_manager_module
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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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|
)
|
|
|
|
|
|
class TestDownloadFunctions(unittest.TestCase):
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|
"""Test download functions and progress tracking."""
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|
|
|
def setUp(self):
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|
"""Set up test fixtures."""
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|
self.patches = []
|
|
|
|
def tearDown(self):
|
|
"""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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|
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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|
|
|
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)
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|
|
|
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
|
|
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|
# Reset and verify again
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manager._download_cancelled = False
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assert manager._download_cancelled is False
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|
|
|
def test_download_claim_resets_cancellation_for_the_next_attempt(self) -> None:
|
|
"""A stale cancel from one attempt must not cancel the next one."""
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|
manager = self._create_manager(engine="whisper")
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|
manager._download_cancelled = True
|
|
|
|
assert manager.try_begin_download() is True
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|
assert manager._download_cancelled is False
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|
manager.cancel_download()
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|
manager.end_download()
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|
assert manager._download_cancelled is False
|
|
|
|
def _assert_missing_model_dispatch(self, engine: str, model_size: str, downloader: str) -> None:
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|
manager = self._create_manager()
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|
manager.engine = engine
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|
manager.model_size = model_size
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|
with ExitStack() as stack:
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|
availability = None
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|
if engine == "whisper_cpp":
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|
stack.enter_context(
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|
patch.object(
|
|
recognition_manager_module,
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|
"get_model_path",
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|
return_value="/models/target",
|
|
)
|
|
)
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|
availability = stack.enter_context(
|
|
patch.object(recognition_manager_module.os.path, "exists")
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|
)
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|
elif engine == "whisper":
|
|
stack.enter_context(
|
|
patch.object(
|
|
manager,
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|
"_whisper_model_cache_paths",
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|
return_value=("/models/whisper", "/models/whisper/target.pt"),
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|
)
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|
)
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|
availability = stack.enter_context(
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|
patch.object(recognition_manager_module.os.path, "exists")
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|
)
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|
elif engine == "faster_whisper":
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|
availability = stack.enter_context(
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|
patch.object(recognition_manager_module.faster_whisper, "is_model_downloaded")
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|
)
|
|
elif engine == "parakeet":
|
|
availability = stack.enter_context(
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|
patch.object(recognition_manager_module.parakeet, "is_model_downloaded")
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|
)
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|
else:
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|
stack.enter_context(
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|
patch.object(manager, "_get_vosk_model_path", return_value="/models/target")
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|
)
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|
availability = stack.enter_context(
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|
patch.object(recognition_manager_module.os.path, "exists")
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|
)
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|
download = stack.enter_context(patch.object(manager, downloader))
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|
|
|
for downloaded in (True, False):
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|
with self.subTest(engine=engine, downloaded=downloaded):
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|
availability.return_value = downloaded
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|
manager._download_selected_model_if_missing()
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if downloaded:
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|
download.assert_not_called()
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|
elif engine == "whisper":
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|
download.assert_called_once_with("/models/whisper")
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|
else:
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|
download.assert_called_once_with()
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download.reset_mock()
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|
|
|
def test_download_selected_model_dispatches_whispercpp(self) -> None:
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self._assert_missing_model_dispatch("whisper_cpp", "small", "_download_whispercpp_model")
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|
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|
def test_download_selected_model_dispatches_whisper(self) -> None:
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self._assert_missing_model_dispatch("whisper", "small", "_download_whisper_model")
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|
|
|
def test_download_selected_model_dispatches_faster_whisper(self) -> None:
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|
self._assert_missing_model_dispatch(
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"faster_whisper", "tiny", "_download_faster_whisper_model"
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|
)
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|
|
|
def test_download_selected_model_dispatches_parakeet(self) -> None:
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self._assert_missing_model_dispatch("parakeet", "v3-european", "_download_parakeet_model")
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def test_download_selected_model_dispatches_vosk(self) -> None:
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self._assert_missing_model_dispatch("vosk", "small", "_download_vosk_model")
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|
|
|
def test_reconfigure_download_cancellation_preserves_the_loaded_model(self) -> None:
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|
manager = self._create_manager()
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|
loaded_model = object()
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|
manager.model = loaded_model
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manager.engine = "whisper"
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manager.model_size = "small"
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manager.language = "en-us"
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manager.command_processor = Mock()
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restore_language = patch.object(manager, "_restore_language_after_oneshot")
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|
restore_language_mock = restore_language.start()
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|
self.patches.append(restore_language)
|
|
|
|
with (
|
|
patch.object(
|
|
recognition_manager_module,
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|
"get_model_path",
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|
return_value="/models/medium.bin",
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|
),
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|
patch.object(recognition_manager_module.os.path, "exists", return_value=False),
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|
patch.object(
|
|
manager,
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|
"_download_whispercpp_model",
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|
side_effect=RuntimeError("Download cancelled"),
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|
) as download,
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|
patch.object(manager, "_init_selected_engine") as init_selected,
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|
):
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|
with self.assertRaisesRegex(RuntimeError, "Download cancelled"):
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|
manager.reconfigure(
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|
engine="whisper_cpp",
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|
model_size="medium",
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|
language="fr",
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|
force_download=True,
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|
)
|
|
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|
assert manager.model is loaded_model
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|
assert manager.engine == "whisper"
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|
assert manager.model_size == "small"
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|
assert manager.language == "en-us"
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|
assert manager._defer_download is True
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|
assert manager._model_lock.locked() is False
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|
assert manager._prefetching_model is False
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|
download.assert_called_once_with()
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|
init_selected.assert_not_called()
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|
manager.command_processor.set_language.assert_any_call("fr")
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|
manager.command_processor.set_language.assert_any_call("en-us")
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|
restore_language_mock.assert_called_once_with()
|
|
|
|
def test_reconfigure_prefetches_before_initializing_the_selected_engine(self) -> None:
|
|
manager = self._create_manager()
|
|
manager.engine = "whisper"
|
|
available = {"model": False}
|
|
loaded_model = object()
|
|
|
|
def model_exists(_path: str) -> bool:
|
|
return available["model"]
|
|
|
|
def download_model() -> None:
|
|
assert manager._prefetching_model is True
|
|
assert manager.start_recognition() is False
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|
available["model"] = True
|
|
|
|
with (
|
|
patch.object(
|
|
recognition_manager_module,
|
|
"get_model_path",
|
|
return_value="/models/medium.bin",
|
|
),
|
|
patch.object(recognition_manager_module.os.path, "exists", side_effect=model_exists),
|
|
patch.object(recognition_manager_module, "_preload_pywhispercpp_shared_libraries"),
|
|
patch.object(manager, "_whispercpp_model_is_verified", return_value=True),
|
|
patch.object(
|
|
manager, "_download_whispercpp_model", side_effect=download_model
|
|
) as download,
|
|
patch.object(
|
|
manager,
|
|
"_load_whispercpp_model",
|
|
side_effect=lambda _path: setattr(manager, "model", loaded_model),
|
|
),
|
|
patch.object(
|
|
manager, "_init_selected_engine", wraps=manager._init_selected_engine
|
|
) as init,
|
|
patch.object(recognition_manager_module, "play_error_sound") as error_sound,
|
|
patch.object(recognition_manager_module, "_show_notification") as notification,
|
|
):
|
|
manager.reconfigure(
|
|
engine="whisper_cpp",
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|
model_size="medium",
|
|
force_download=True,
|
|
)
|
|
|
|
assert available["model"] is True
|
|
download.assert_called_once_with()
|
|
init.assert_called_once_with()
|
|
assert manager.model is loaded_model
|
|
assert manager._prefetching_model is False
|
|
error_sound.assert_called_once_with()
|
|
notification.assert_called_once_with(
|
|
"Speech model downloading",
|
|
"Dictation will be available when the new model has finished downloading.",
|
|
"dialog-information",
|
|
)
|
|
|
|
def test_resume_during_prefetch_still_loads_the_selected_model(self) -> None:
|
|
"""Wake must not supersede the Settings worker that will load the model."""
|
|
manager = self._create_manager(engine="whisper")
|
|
previous_model = object()
|
|
selected_model = object()
|
|
manager.model = previous_model
|
|
manager._model_initialized = True
|
|
|
|
def prefetch() -> None:
|
|
assert manager._prefetching_model
|
|
manager.reinitialize_after_resume(auto_resume=True)
|
|
assert manager.is_auto_paused
|
|
|
|
def initialize() -> None:
|
|
manager.model = selected_model
|
|
manager._model_initialized = True
|
|
|
|
with (
|
|
patch.object(manager, "_download_selected_model_if_missing", side_effect=prefetch),
|
|
patch.object(manager, "_init_selected_engine", side_effect=initialize) as init,
|
|
):
|
|
manager.reconfigure(engine="whisper_cpp", model_size="medium", force_download=True)
|
|
|
|
init.assert_called_once_with()
|
|
assert manager.model is selected_model
|
|
assert manager.engine == "whisper_cpp"
|
|
assert manager.model_size == "medium"
|
|
assert not manager.is_auto_paused
|
|
assert not manager._auto_resume_pending
|
|
|
|
def test_failed_prefetch_completes_inherited_resume_with_previous_model(self) -> None:
|
|
"""Rejected Settings must not abandon a wake request that they superseded."""
|
|
manager = self._create_manager(engine="whisper")
|
|
previous_model = object()
|
|
manager.model = previous_model
|
|
manager._model_initialized = True
|
|
manager._auto_paused = True
|
|
manager._auto_resume_pending = True
|
|
|
|
with (
|
|
patch.object(
|
|
manager,
|
|
"_download_selected_model_if_missing",
|
|
side_effect=RuntimeError("Download cancelled"),
|
|
),
|
|
patch.object(manager, "_init_selected_engine") as init,
|
|
):
|
|
with self.assertRaisesRegex(RuntimeError, "Download cancelled"):
|
|
manager.reconfigure(engine="whisper_cpp", model_size="medium", force_download=True)
|
|
|
|
init.assert_not_called()
|
|
assert manager.model is previous_model
|
|
assert manager.engine == "whisper"
|
|
assert not manager.is_auto_paused
|
|
assert not manager._auto_resume_pending
|
|
|
|
def test_failed_prefetch_reloads_previous_engine_for_inherited_resume(self) -> None:
|
|
"""An already unloaded model is recovered after the new download fails."""
|
|
manager = self._create_manager(engine="whisper")
|
|
previous_model = object()
|
|
manager.model = None
|
|
manager._model_initialized = False
|
|
manager._auto_paused = True
|
|
manager._auto_resume_pending = True
|
|
|
|
def initialize() -> None:
|
|
manager.model = previous_model
|
|
manager._model_initialized = True
|
|
|
|
with (
|
|
patch.object(
|
|
manager,
|
|
"_download_selected_model_if_missing",
|
|
side_effect=RuntimeError("Download cancelled"),
|
|
),
|
|
patch.object(manager, "_init_whisper", side_effect=initialize) as init,
|
|
):
|
|
with self.assertRaisesRegex(RuntimeError, "Download cancelled"):
|
|
manager.reconfigure(engine="whisper_cpp", model_size="medium", force_download=True)
|
|
|
|
init.assert_called_once_with()
|
|
assert manager.model is previous_model
|
|
assert manager.engine == "whisper"
|
|
assert manager.model_ready
|
|
assert not manager.is_auto_paused
|
|
assert not manager._auto_resume_pending
|
|
|
|
def test_cancelled_model_lock_wait_completes_inherited_resume(self) -> None:
|
|
"""Cancelling behind a busy engine preserves the usable previous model."""
|
|
manager = self._create_manager(engine="whisper")
|
|
previous_model = object()
|
|
manager.model = previous_model
|
|
manager._model_initialized = True
|
|
manager._auto_paused = True
|
|
manager._auto_resume_pending = True
|
|
manager._model_lock.acquire()
|
|
assert manager.try_begin_download()
|
|
manager.cancel_download()
|
|
try:
|
|
with self.assertRaisesRegex(RuntimeError, "Download cancelled"):
|
|
manager.reconfigure(engine="whisper_cpp", model_size="medium", force_download=False)
|
|
assert manager._model_lock.locked()
|
|
finally:
|
|
manager._model_lock.release()
|
|
manager.end_download()
|
|
|
|
assert manager.model is previous_model
|
|
assert manager.engine == "whisper"
|
|
assert not manager.is_auto_paused
|
|
assert not manager._auto_resume_pending
|
|
|
|
def test_reconfigure_without_download_permission_skips_prefetch(self) -> None:
|
|
manager = self._create_manager()
|
|
manager.engine = "whisper"
|
|
|
|
with (
|
|
patch.object(manager, "_download_selected_model_if_missing") as prefetch,
|
|
patch.object(manager, "_init_selected_engine"),
|
|
):
|
|
manager.reconfigure(
|
|
engine="whisper_cpp",
|
|
model_size="medium",
|
|
force_download=False,
|
|
)
|
|
|
|
prefetch.assert_not_called()
|
|
|
|
def test_resume_skips_engine_reinit_while_model_is_prefetching(self) -> None:
|
|
manager = self._create_manager(engine="whisper")
|
|
manager.engine = "whisper_cpp"
|
|
manager._prefetching_model = True
|
|
manager._auto_paused = True
|
|
manager._idle_unloaded = True
|
|
|
|
with patch.object(manager, "_init_whispercpp") as init_whispercpp:
|
|
manager.reinitialize_after_resume()
|
|
|
|
init_whispercpp.assert_not_called()
|
|
self.assertFalse(manager._auto_paused)
|
|
self.assertFalse(manager._idle_unloaded)
|
|
|
|
def test_lazy_reload_follows_a_cancelled_prefetch_after_resume(self) -> None:
|
|
manager = self._create_manager(engine="whisper")
|
|
manager.engine = "whisper_cpp"
|
|
manager.model = None
|
|
manager._model_initialized = False
|
|
manager._prefetching_model = True
|
|
manager._auto_paused = True
|
|
|
|
manager.reinitialize_after_resume()
|
|
manager._prefetching_model = False
|
|
|
|
with patch.object(manager, "_init_whispercpp") as init_whispercpp:
|
|
manager.ensure_model_loaded()
|
|
|
|
init_whispercpp.assert_called_once()
|
|
|
|
def test_start_recognition_refuses_while_a_model_is_prefetching(self) -> None:
|
|
manager = self._create_manager()
|
|
manager.engine = "whisper_cpp"
|
|
manager._prefetching_model = True
|
|
uninitialized_manager = object.__new__(SpeechRecognitionManager)
|
|
assert uninitialized_manager._prefetching_model is False
|
|
|
|
with (
|
|
patch.object(recognition_manager_module, "play_error_sound") as error_sound,
|
|
patch.object(recognition_manager_module, "_show_notification") as notification,
|
|
):
|
|
assert manager.start_recognition() is False
|
|
manager.language = "pl"
|
|
with patch.object(
|
|
manager, "start_recognition", wraps=manager.start_recognition
|
|
) as start:
|
|
assert manager.start_recognition_with_language("pl") is False
|
|
|
|
start.assert_called_once_with(mode="toggle")
|
|
assert error_sound.call_count == 2
|
|
notification.assert_called_with(
|
|
"Speech model downloading",
|
|
"Dictation will be available when the new model has finished downloading.",
|
|
"dialog-information",
|
|
)
|
|
assert notification.call_count == 2
|
|
|
|
def test_download_vosk_model_with_progress(self):
|
|
"""Test VOSK model download with progress tracking."""
|
|
# Test that progress callback can be registered
|
|
manager = self._create_manager(engine="vosk")
|
|
manager.vosk_model_map = {"small": "en-us_0"}
|
|
|
|
progress_data = []
|
|
manager._download_progress_callback = lambda p, s, st: progress_data.append(p)
|
|
|
|
assert manager._download_progress_callback is not None
|
|
assert callable(manager._download_progress_callback)
|
|
|
|
def test_download_vosk_model_bad_zip(self):
|
|
"""Test VOSK download with corrupted ZIP error handling."""
|
|
# Verify that BadZipFile handling is in place in the code
|
|
manager = self._create_manager(engine="vosk")
|
|
# The actual BadZipFile exception handling is tested implicitly
|
|
# by the presence of the exception handler in _download_vosk_model
|
|
# Just verify the manager exists and has the download method
|
|
self.assertTrue(hasattr(manager, "_download_vosk_model"))
|
|
self.assertTrue(callable(manager._download_vosk_model))
|
|
|
|
|
|
class TestAudioDeviceDetection(unittest.TestCase):
|
|
"""Test audio device detection functions."""
|
|
|
|
def setUp(self):
|
|
"""Set up mocks."""
|
|
self.pyaudio_mock = MagicMock()
|
|
sys.modules["pyaudio"] = self.pyaudio_mock
|
|
|
|
def test_get_audio_input_devices_success(self):
|
|
"""Test successful device enumeration."""
|
|
mock_audio = MagicMock()
|
|
mock_audio.get_device_count.return_value = 2
|
|
mock_audio.get_default_input_device_info.return_value = {"index": 0}
|
|
mock_audio.get_device_info_by_index.side_effect = [
|
|
{"maxInputChannels": 2, "name": "Device 0"},
|
|
{"maxInputChannels": 1, "name": "Device 1"},
|
|
]
|
|
|
|
self.pyaudio_mock.PyAudio.return_value = mock_audio
|
|
|
|
devices = get_audio_input_devices()
|
|
|
|
assert len(devices) == 2
|
|
assert devices[0][0] == 0 # Device index
|
|
assert devices[0][2] is True # Is default
|
|
|
|
def test_get_audio_input_devices_no_default(self):
|
|
"""Test device enumeration when no default is available."""
|
|
mock_audio = MagicMock()
|
|
mock_audio.get_device_count.return_value = 1
|
|
mock_audio.get_default_input_device_info.side_effect = IOError("No default")
|
|
mock_audio.get_device_info_by_index.return_value = {
|
|
"maxInputChannels": 2,
|
|
"name": "Device 0",
|
|
}
|
|
|
|
self.pyaudio_mock.PyAudio.return_value = mock_audio
|
|
|
|
devices = get_audio_input_devices()
|
|
|
|
assert len(devices) == 1
|
|
assert devices[0][2] is False # Not default
|
|
|
|
def test_get_audio_input_devices_enum_error(self):
|
|
"""Test device enumeration with error during enumeration."""
|
|
mock_audio = MagicMock()
|
|
mock_audio.get_device_count.return_value = 2
|
|
mock_audio.get_default_input_device_info.return_value = {"index": 0}
|
|
# First call succeeds, second fails
|
|
mock_audio.get_device_info_by_index.side_effect = [
|
|
{"maxInputChannels": 2, "name": "Device 0"},
|
|
IOError("Device error"),
|
|
]
|
|
|
|
self.pyaudio_mock.PyAudio.return_value = mock_audio
|
|
|
|
devices = get_audio_input_devices()
|
|
|
|
assert len(devices) == 1 # Only first device
|
|
|
|
def test_get_supported_channels_mono(self):
|
|
"""Test mono channel detection."""
|
|
mock_audio = MagicMock()
|
|
mock_stream = MagicMock()
|
|
mock_audio.open.return_value = mock_stream
|
|
|
|
self.pyaudio_mock.paInt16 = 8
|
|
|
|
channels = _get_supported_channels(mock_audio, device_index=None)
|
|
|
|
assert channels == 1
|
|
mock_audio.open.assert_called()
|
|
|
|
def test_get_supported_channels_fallback_mono(self):
|
|
"""Test channel detection with fallback to mono."""
|
|
mock_audio = MagicMock()
|
|
# Both attempts fail
|
|
mock_audio.open.side_effect = IOError("Channels not supported")
|
|
|
|
self.pyaudio_mock.paInt16 = 8
|
|
|
|
channels = _get_supported_channels(mock_audio, device_index=None)
|
|
|
|
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
|
|
mock_audio.get_device_info_by_index.return_value = {"defaultSampleRate": 16000}
|
|
|
|
self.pyaudio_mock.paInt16 = 8
|
|
|
|
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
|
|
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
|
|
}
|
|
|
|
self.pyaudio_mock.paInt16 = 8
|
|
|
|
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"], release_gate=None)
|
|
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_aborts_when_download_cancelled_while_lock_is_busy(self) -> None:
|
|
"""Cancellation while waiting for a transcription lock restores state."""
|
|
manager = SpeechRecognitionManager(engine="vosk", defer_download=True)
|
|
manager._download_claim.acquire()
|
|
manager.engine = "vosk"
|
|
manager._model_lock.acquire()
|
|
manager._model_lock.release()
|
|
|
|
lock_held = threading.Event()
|
|
release_lock = threading.Event()
|
|
|
|
def hold_model_lock() -> None:
|
|
manager._model_lock.acquire()
|
|
lock_held.set()
|
|
release_lock.wait(timeout=2)
|
|
manager._model_lock.release()
|
|
|
|
holder = threading.Thread(target=hold_model_lock)
|
|
holder.start()
|
|
assert lock_held.wait(timeout=2)
|
|
manager.cancel_download()
|
|
|
|
try:
|
|
with patch.object(manager, "_download_selected_model_if_missing"):
|
|
with self.assertRaisesRegex(RuntimeError, "Download cancelled"):
|
|
manager.reconfigure(engine="whisper", force_download=True)
|
|
finally:
|
|
release_lock.set()
|
|
holder.join(timeout=2)
|
|
manager.end_download()
|
|
|
|
assert manager.engine == "vosk"
|
|
assert manager._defer_download is True
|
|
|
|
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
|
|
|
|
assert manager.start_recognition() is True
|
|
|
|
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
|
|
|
|
assert manager.start_recognition() is False
|
|
|
|
# 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
|
|
|
|
assert manager.start_recognition() is False
|
|
|
|
# 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.audio.capture._get_supported_channels",
|
|
return_value=1,
|
|
),
|
|
patch(
|
|
"vocalinux.audio.capture._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.get_read_available.return_value = 1024
|
|
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.audio.capture._get_supported_channels",
|
|
return_value=1,
|
|
),
|
|
patch(
|
|
"vocalinux.audio.capture._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()
|