* feat(speech_recognition): add EngineType enum and Engine Protocol Introduce a typed EngineType enum and an Engine Protocol in common_types.py, plus an engines/ registry so new speech recognition backends can be plugged in without scattering string comparisons across the manager. * feat(speech_recognition): add faster-whisper engine backend Add a faster-whisper engine implementation using CTranslate2/INT8 for fast CPU inference. Includes model metadata utility, wiring through the recognition manager, CLI, settings UI, config, optional dependency, and unit tests. Also updates the suspend-handler test fixture for the new engine attribute. * style(ui): format faster-whisper imports for isort 8 * test(speech_recognition): expand faster-whisper coverage for codecov * test(speech_recognition): fix failing faster-whisper coverage tests - Import missing get_compute_type helper - Add tests for English-only detection, cache exceptions, and import-error registry path - Clear _has_torch_cuda lru_cache around exception test to avoid cached True - Replace broad builtins.__import__ patch with a fake engine module for registry test - Restore registry module state after test * test(speech_recognition): add coverage for faster-whisper edge cases Cover previously missing lines in: - faster_whisper_model_info.py: HF cache path/none, hf_hub lookup, fallback traversal, torch CUDA true, psutil exception - faster_whisper_engine.py: model None guard after is_ready() - engine registry import-error path * feat(install): add faster_whisper engine option to install.sh - Add faster_whisper to --engine help text and examples - Add faster-whisper as interactive option 5 with description - Install faster-whisper package and verify import at install time - Add fallback to whisper.cpp if faster-whisper installation fails - Add smoke test for faster-whisper import - Update welcome message engine display name - Note: faster-whisper models download automatically on first use * refactor(faster_whisper): apply ponytail review cleanups - Inline FASTER_WHISPER_MODEL_INFO dict literal; drop unused AVAILABLE_MODELS/MODEL_SIZES - Reuse _has_torch_cuda() in FasterWhisperEngine.device property - Remove redundant model None guard after is_ready() verification - Shrink faster-whisper default config in install.sh to engine + model_size - Update device tests to manage _has_torch_cuda lru_cache - Remove test for deleted dead-code guard * fix(faster_whisper): integrate optional engine with current main Keep whisper_cpp as default and Parakeet as an extra. Put engine selection in the Advanced island, install faster-whisper via the optional extra, and refuse unpinned Hugging Face downloads until model_checksums.txt pins them. * fix(faster_whisper): download verified models and refresh uv.lock Settings already opened a download dialog for uncached faster-whisper, but init only raised ChecksumError. Wire a Parakeet-style downloader that stores bundles under models_dir, verifies each file against model_checksums.txt, and loads WhisperModel from that path. Regenerate uv.lock for the optional faster-whisper extra, pin digests for all eleven Systran models, and add the missing -> None return annotations. * fix(faster_whisper): clear engine on unload and fix auto-pause fixture Auto-pause tests stub __init__, so they never set _faster_whisper_engine. reinitialize_after_resume then AttributeErrors once Test Python runs. Mirror the suspend-handler fixture, and release the faster-whisper engine inside unload_model the same way resume already does. * fix(faster_whisper): restore previous engine after a failed switch reconfigure() selected the new engine and released the live model before init. A failed faster-whisper download then left the manager in ERROR on the new backend while Settings reverted the pickers to the saved engine, so dictation stayed dead until restart. Reload the previous engine from disk (no download) before re-raising so the UI and live manager agree. * fix(speech_recognition): restore all live settings after failed switch Failed reconfigure already put the previous engine back, but VAD, device, remote API, and whisper.cpp knobs stayed on the attempted values while config on disk did not. Snapshot every field reconfigure writes and restore the lot before reloading the old backend. Also bind the real _init_selected_engine onto the MagicMock in the force_reinit test. * fix(speech_recognition): restore every live field after failed reconfigure A failed engine switch already reloaded the previous backend, but Greptile could still miss that VAD, audio device, remote API, and whisper.cpp knobs were part of the snapshot. Keep one explicit attr list for snapshot/restore, including the derived voice-commands flag, so live state matches persisted config after a failed Settings apply. * chore(speech_recognition): sign tip after rollback follow-up
495 lines
19 KiB
Python
495 lines
19 KiB
Python
"""Tests for offering the recommended model when dictation finds none."""
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import importlib
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import sys
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from unittest.mock import MagicMock, Mock, patch
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import pytest
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import vocalinux.ui
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def _load(module_name, extra_bases=()):
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"""Import a GTK module with real base classes so its methods stay callable.
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conftest swaps gi for a MagicMock, which would leave every ``class X(Gtk.Y)``
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as a mock and make its methods unreachable.
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Reimporting rebinds the module both in ``sys.modules`` and as an attribute
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on its package. Leaving those two pointing at different objects breaks any
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later test that patches the module by name, so the caller restores both;
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doing this at collection time is what desynced test_model_deletion in #686.
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"""
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repository = sys.modules["gi.repository"]
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names = ("Box", "ListBoxRow", "Dialog") + tuple(extra_bases)
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bases = {name: type(name, (), {}) for name in names}
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attribute = module_name.rsplit(".", 1)[1]
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saved_module = sys.modules.pop(module_name, None)
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saved_attribute = getattr(vocalinux.ui, attribute, None)
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try:
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with patch.object(repository, "Gtk", MagicMock(**bases)):
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yield importlib.import_module(module_name)
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finally:
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sys.modules.pop(module_name, None)
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if saved_module is not None:
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sys.modules[module_name] = saved_module
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if saved_attribute is not None:
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setattr(vocalinux.ui, attribute, saved_attribute)
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elif hasattr(vocalinux.ui, attribute):
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delattr(vocalinux.ui, attribute)
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@pytest.fixture(scope="module")
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def settings_dialog():
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yield from _load("vocalinux.ui.settings_dialog")
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@pytest.fixture(scope="module")
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def tray_indicator(settings_dialog):
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yield from _load("vocalinux.ui.tray_indicator")
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@pytest.fixture
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def TrayIndicator(tray_indicator):
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return tray_indicator.TrayIndicator
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@pytest.fixture
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def recommendation(settings_dialog):
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return settings_dialog.ModelRecommendation(
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model_id="small.en", reason="Vulkan GPU", display_name="Small EN", size_label="466 MB"
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)
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def _tray_stub():
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tray = Mock()
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tray._model_download_active = False
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tray.config_manager.get_str.return_value = "en-us"
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tray.speech_engine.model_ready = True
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return tray
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class TestRecommendedModelForEngine:
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"""The offer must name the model the picker stars, not a fixed one."""
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def test_whisper_cpp_follows_the_hardware_recommendation(self, settings_dialog):
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with patch.object(
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settings_dialog,
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"get_recommended_whispercpp_model",
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return_value=("small", "Vulkan GPU"),
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):
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result = settings_dialog.recommended_model_for_engine("whisper_cpp", "de")
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assert result.model_id == "small"
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assert "Vulkan GPU" in result.reason
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assert result.size_label
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def test_english_selection_gets_the_english_only_variant(self, settings_dialog):
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with patch.object(
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settings_dialog,
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"get_recommended_whispercpp_model",
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return_value=("small", "Vulkan GPU"),
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):
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result = settings_dialog.recommended_model_for_engine("whisper_cpp", "en-us")
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assert result.model_id == "small.en"
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def test_vosk_uses_its_own_recommendation(self, settings_dialog):
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with patch.object(
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settings_dialog, "_get_recommended_vosk_model", return_value=("medium", "8GB RAM")
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):
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result = settings_dialog.recommended_model_for_engine("vosk", "en-us")
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assert result.model_id == "medium"
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def test_remote_api_has_nothing_to_download(self, settings_dialog):
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assert settings_dialog.recommended_model_for_engine("remote_api", "auto") is None
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class TestOffer:
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"""What the notification carries."""
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def _show(self, tray_indicator, tray, engine, rec, supports_actions):
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"""Show the offer notification, return the notifications mock."""
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with patch.object(tray_indicator, "notifications") as mock_notifications:
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mock_notifications.supports_actions.return_value = supports_actions
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tray_indicator.TrayIndicator._show_model_offer(tray, engine, rec)
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return mock_notifications
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def test_offer_is_handed_to_the_main_loop(self, tray_indicator, TrayIndicator, recommendation):
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"""Dictation can start on the shortcut thread, which must not touch the UI."""
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tray = _tray_stub()
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with patch.object(tray_indicator, "GLib") as glib:
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with patch.object(
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tray_indicator, "recommended_model_for_engine", return_value=recommendation
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):
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handled = TrayIndicator._offer_recommended_model(tray, "whisper_cpp")
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assert handled is True
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glib.idle_add.assert_called_once_with(tray._show_model_offer, "whisper_cpp", recommendation)
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def test_offer_carries_a_download_button(self, tray_indicator, recommendation):
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tray = _tray_stub()
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mock_notifications = self._show(
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tray_indicator, tray, "whisper_cpp", recommendation, supports_actions=True
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)
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action = mock_notifications.notify.call_args.kwargs["action"]
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assert action[0] == "Download Small EN (466 MB)"
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assert "from this notification" in mock_notifications.notify.call_args.args[1]
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# The button downloads exactly what was offered.
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action[1]()
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tray._download_recommended_model.assert_called_once_with("whisper_cpp", recommendation)
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def test_offer_without_server_action_support_is_still_shown(
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self, tray_indicator, settings_dialog
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):
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"""No button means the body must not tell the user to click one."""
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tray = _tray_stub()
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rec = settings_dialog.ModelRecommendation(
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model_id="small", reason="8GB RAM", display_name="Small", size_label="466 MB"
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)
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mock_notifications = self._show(tray_indicator, tray, "vosk", rec, supports_actions=False)
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body = mock_notifications.notify.call_args.args[1]
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assert mock_notifications.notify.call_args.kwargs["action"] is None
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assert "Settings" in body
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assert "from this notification" not in body
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class _RestartGatedEngine:
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"""A speech engine that gates re-init the way reconfigure() really does.
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Only engine, model and language changes set restart_needed, and
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force_download is read during that re-init — so a caller asking for the
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model it is already configured for downloads nothing unless it also asks
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for the re-init.
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"""
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def __init__(self, engine, model_size, language):
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self.engine = engine
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self.model_size = model_size
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self.language = language
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self.model_ready = False
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self.reinits = 0
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self.state = None
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def set_download_progress_callback(self, callback):
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pass
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def try_begin_download(self):
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return True
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def end_download(self):
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pass
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def reconfigure(
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self,
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engine=None,
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model_size=None,
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language=None,
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force_download=True,
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force_reinit=False,
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**kwargs,
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):
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restart_needed = force_reinit
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if engine is not None and engine != self.engine:
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self.engine = engine
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restart_needed = True
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if model_size is not None and model_size != self.model_size:
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self.model_size = model_size
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restart_needed = True
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if language is not None and language != self.language:
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self.language = language
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restart_needed = True
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if restart_needed and force_download:
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self.reinits += 1
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self.model_ready = True
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class TestDownload:
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"""What the button does once clicked."""
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def _run(self, tray_indicator, tray, rec, progress=None):
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with patch.object(tray_indicator, "notifications"):
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with patch.object(tray_indicator, "GLib") as glib:
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glib.idle_add.side_effect = lambda func, *args: func(*args)
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tray_indicator.TrayIndicator._run_recommended_model_download(
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tray, "whisper_cpp", rec, progress or object()
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)
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def test_successful_download_is_saved_for_that_engine(
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self, tray_indicator, tray, recommendation
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):
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self._run(tray_indicator, tray, recommendation)
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tray.speech_engine.reconfigure.assert_called_once_with(
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engine="whisper_cpp",
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model_size="small.en",
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force_download=True,
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force_reinit=True,
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)
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tray.config_manager.set_model_size_for_engine.assert_called_once_with(
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"whisper_cpp", "small.en"
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)
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tray.config_manager.save_config.assert_called_once()
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assert tray._model_download_active is False
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def test_the_model_already_configured_is_still_fetched(
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self, tray_indicator, tray, recommendation
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):
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"""The case that breaks the feature: recommendation == configured model.
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First-run defaults are whisper_cpp + tiny, and tiny is exactly what a
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CPU-only machine is recommended, so nothing about the request differs
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from what the engine already holds. Without asking for the re-init the
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click downloads nothing and still reports the model as ready.
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"""
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tray.speech_engine = _RestartGatedEngine("whisper_cpp", recommendation.model_id, "en-us")
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self._run(tray_indicator, tray, recommendation)
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assert tray.speech_engine.reinits == 1
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assert tray.speech_engine.model_ready is True
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tray.config_manager.set_model_size_for_engine.assert_called_once_with(
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"whisper_cpp", recommendation.model_id
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)
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tray.config_manager.save_config.assert_called_once()
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def test_a_model_that_did_not_load_is_not_reported_as_ready(
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self, tray_indicator, tray, recommendation
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):
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"""reconfigure() returning without raising is not proof of a model."""
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tray.speech_engine.model_ready = False
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with patch.object(tray_indicator, "notifications") as mock_notifications:
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with patch.object(tray_indicator, "GLib") as glib:
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glib.idle_add.side_effect = lambda func, *args: func(*args)
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tray_indicator.TrayIndicator._run_recommended_model_download(
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tray, "whisper_cpp", recommendation, object()
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)
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tray.config_manager.set_model_size_for_engine.assert_not_called()
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tray.config_manager.save_config.assert_not_called()
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titles = [call.args[0] for call in mock_notifications.notify.call_args_list]
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assert "Model download failed" in titles
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assert "Speech model ready" not in titles
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def test_failed_download_is_not_saved(self, tray_indicator, tray, recommendation):
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tray.speech_engine.reconfigure.side_effect = RuntimeError("network down")
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self._run(tray_indicator, tray, recommendation)
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tray.config_manager.set_model_size_for_engine.assert_not_called()
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# The engine must not keep reporting progress to a finished download.
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tray.speech_engine.set_download_progress_callback.assert_called_with(None)
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assert tray._model_download_active is False
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def test_the_first_notification_is_created_on_the_main_loop(
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self, tray_indicator, tray, recommendation
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):
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"""libnotify is not thread-safe, so the worker only gets a handle."""
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with patch.object(tray_indicator, "notifications") as mock_notifications:
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with patch.object(tray_indicator.threading, "Thread") as thread:
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tray_indicator.TrayIndicator._download_recommended_model(
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tray, "whisper_cpp", recommendation
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)
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mock_notifications.notify.assert_called_once()
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assert mock_notifications.notify.call_args.args[0] == "Downloading speech model"
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handle = mock_notifications.notify.return_value
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assert thread.call_args.kwargs["args"] == ("whisper_cpp", recommendation, handle)
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def test_main_loop_callbacks_do_not_ask_to_run_again(
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self, tray_indicator, tray, recommendation
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):
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"""GLib.idle_add repeats a callback that returns truthy, so ours must not.
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The notification helpers return handles and success flags; handing them
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to idle_add directly would re-show the notification on every idle cycle.
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"""
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results = []
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def fake_reconfigure(**kwargs):
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# Progress arrives while the download inside reconfigure() runs.
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on_progress = tray.speech_engine.set_download_progress_callback.call_args[0][0]
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on_progress(0.5, 10.0, "50%")
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tray.speech_engine.reconfigure.side_effect = fake_reconfigure
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with patch.object(tray_indicator, "notifications") as mock_notifications:
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mock_notifications.update.return_value = True
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with patch.object(tray_indicator, "GLib") as glib:
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glib.idle_add.side_effect = lambda func, *args: results.append(func(*args))
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tray_indicator.TrayIndicator._run_recommended_model_download(
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tray, "whisper_cpp", recommendation, object()
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)
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assert results, "expected callbacks scheduled on the main loop"
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assert all(not result for result in results)
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def test_a_second_click_does_not_start_a_second_download(self, tray_indicator):
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tray = _tray_stub()
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tray._model_download_active = True
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with patch.object(tray_indicator.threading, "Thread") as thread:
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tray_indicator.TrayIndicator._download_recommended_model(tray, "vosk", Mock())
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thread.assert_not_called()
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@pytest.fixture
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def tray():
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return _tray_stub()
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@pytest.mark.parametrize("handler_result", [True, False])
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def test_engine_defers_to_the_registered_handler(handler_result):
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"""The engine only shows its own notification when nobody handled it."""
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from vocalinux.speech_recognition.recognition_manager import SpeechRecognitionManager
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manager = Mock()
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manager._model_missing_handler = Mock(return_value=handler_result)
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manager.engine = "whisper_cpp"
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assert SpeechRecognitionManager._notify_model_missing(manager) is handler_result
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manager._model_missing_handler.assert_called_once_with("whisper_cpp")
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def test_engine_without_a_handler_keeps_its_own_notification():
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from vocalinux.speech_recognition.recognition_manager import SpeechRecognitionManager
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manager = Mock()
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manager._model_missing_handler = None
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assert SpeechRecognitionManager._notify_model_missing(manager) is False
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def _reconfigure_manager():
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from vocalinux.speech_recognition.recognition_manager import SpeechRecognitionManager
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manager_class = SpeechRecognitionManager
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manager = MagicMock()
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manager.engine = "whisper_cpp"
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manager.model_size = "tiny"
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manager.language = "en-us"
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manager._defer_download = True
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# reconfigure() dispatches through _init_selected_engine(); bind the real
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# method so force_reinit still reaches _init_whispercpp on this mock.
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manager._init_selected_engine = lambda: manager_class._init_selected_engine(manager)
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manager._snapshot_reconfigure_state = lambda: manager_class._snapshot_reconfigure_state(manager)
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manager._restore_reconfigure_state = lambda previous: manager_class._restore_reconfigure_state(
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manager, previous
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)
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return manager_class, manager
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def test_force_reinit_reinitializes_an_engine_that_did_not_change():
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"""The production contract behind the offer: force_download needs a re-init.
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Downloads only happen while the engine re-initializes, and that is gated on
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engine, model or language actually changing.
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"""
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manager_class, manager = _reconfigure_manager()
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seen = {}
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manager._init_whispercpp.side_effect = lambda: seen.update(defer=manager._defer_download)
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manager_class.reconfigure(
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manager,
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engine="whisper_cpp",
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model_size="tiny",
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language="en-us",
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force_download=True,
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force_reinit=True,
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)
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manager._init_whispercpp.assert_called_once()
|
|
assert seen["defer"] is False
|
|
|
|
|
|
def test_an_unchanged_reconfigure_still_does_nothing_by_default():
|
|
"""Callers that only tweak VAD must not pay for a re-init."""
|
|
manager_class, manager = _reconfigure_manager()
|
|
|
|
manager_class.reconfigure(
|
|
manager,
|
|
engine="whisper_cpp",
|
|
model_size="tiny",
|
|
language="en-us",
|
|
force_download=True,
|
|
)
|
|
|
|
manager._init_whispercpp.assert_not_called()
|
|
|
|
|
|
class TestOneDownloadAtATime:
|
|
"""The tray and Settings share one engine, so only one of them downloads."""
|
|
|
|
def _run(self, tray_indicator, tray, rec):
|
|
with patch.object(tray_indicator, "notifications"):
|
|
with patch.object(tray_indicator, "GLib") as glib:
|
|
glib.idle_add.side_effect = lambda func, *args: func(*args)
|
|
tray_indicator.TrayIndicator._run_recommended_model_download(
|
|
tray, "whisper_cpp", rec, object()
|
|
)
|
|
|
|
def test_tray_refuses_when_another_download_holds_the_engine(self, tray_indicator):
|
|
tray = _tray_stub()
|
|
tray.speech_engine.try_begin_download.return_value = False
|
|
|
|
with patch.object(tray_indicator, "notifications") as mock_notifications:
|
|
with patch.object(tray_indicator.threading, "Thread") as thread:
|
|
tray_indicator.TrayIndicator._download_recommended_model(tray, "vosk", Mock())
|
|
|
|
thread.assert_not_called()
|
|
assert tray._model_download_active is False
|
|
assert mock_notifications.notify.call_args.args[0] == "Download already in progress"
|
|
|
|
def test_tray_releases_the_engine_when_the_download_ends(
|
|
self, tray_indicator, tray, recommendation
|
|
):
|
|
self._run(tray_indicator, tray, recommendation)
|
|
|
|
tray.speech_engine.end_download.assert_called_once_with()
|
|
|
|
def test_tray_releases_the_engine_when_the_download_fails(
|
|
self, tray_indicator, tray, recommendation
|
|
):
|
|
tray.speech_engine.reconfigure.side_effect = RuntimeError("boom")
|
|
|
|
self._run(tray_indicator, tray, recommendation)
|
|
|
|
tray.speech_engine.end_download.assert_called_once_with()
|
|
|
|
def test_download_claim_is_exclusive_until_released(self):
|
|
import threading
|
|
|
|
from vocalinux.speech_recognition.recognition_manager import SpeechRecognitionManager
|
|
|
|
manager = MagicMock()
|
|
manager._download_claim = threading.Lock()
|
|
|
|
assert SpeechRecognitionManager.try_begin_download(manager) is True
|
|
assert SpeechRecognitionManager.try_begin_download(manager) is False
|
|
assert SpeechRecognitionManager.download_in_progress.fget(manager) is True
|
|
|
|
SpeechRecognitionManager.end_download(manager)
|
|
|
|
assert SpeechRecognitionManager.download_in_progress.fget(manager) is False
|
|
assert SpeechRecognitionManager.try_begin_download(manager) is True
|
|
|
|
def test_releasing_an_unclaimed_engine_is_harmless(self):
|
|
import threading
|
|
|
|
from vocalinux.speech_recognition.recognition_manager import SpeechRecognitionManager
|
|
|
|
manager = MagicMock()
|
|
manager._download_claim = threading.Lock()
|
|
|
|
SpeechRecognitionManager.end_download(manager) # must not raise
|