4b0ec87f69dc4244045bbfee8b1863fd7cf4e331
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Commits
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3e4230ffc2 |
fix(settings): make model downloads explicit and cancel the whole intent (#1006)
* fix(settings): make model downloads explicit and cancel the whole intent "Use it" on the recommendation card applied a different model than the one shown, a cancelled or failed apply left the staged model behind so the next Test Dictation downloaded it, and cancelling a download tore down and then reloaded the previous model while the dialog waited. - Recommendation is now passive text, compared by size tier, with a link to docs/MODEL_SELECTION.md. The "Use it" button is gone. - Every Settings download asks first and shows size and source host. Declining, cancelling or failing drops the staged model spec and puts the pickers back on the saved config. - Test Dictation refuses a model that is not on disk instead of applying it. - reconfigure() fetches a missing model before releasing the loaded one, so a cancel restores state without reloading or rehashing the old model. Cancellation state is reset only when a download claim is taken or ended. - Follow-layout mode shows the resolved language in the simple Main language control, read-only, and simple edits keep the "layout" setting. Fixes #979 Fixes #980 Fixes #981 Fixes #982 Fixes #985 Fixes #988 * fix(settings): restore follow-layout mode when a model change is declined * fix(settings): keep follow-layout and dictation consistent during model changes * style(tests): format follow-layout regression tests * fix(recognition): skip resume reinit while a model download is running * fix(recognition): keep a lazy reload pending when resume is skipped during a download --------- Co-authored-by: Jatin K Malik <jatinkrmalik@gmail.com> |
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5e531cbac0 |
refactor(audio): extract capture source from recognition manager (#883)
* refactor(audio): extract capture source from recognition manager Move audio capture out of the silence-segmented dictation loop into vocalinux.audio.capture: a reusable PortAudioCaptureSource that owns device resolution, format negotiation, downmixing, resampling, and stream lifecycle (open/read/reopen/close). The dictation loop now consumes 16 kHz mono chunks and keeps only segmentation policy (VAD, silence counters, buffer limits, reconnection backoff). This unblocks alternate capture sources (PipeWire system-audio capture for #751, tdrz long-form output for #756) which need the same capture mechanics without dictation's silence segmentation. Behavior is identical: the same helpers run in the same order, moved verbatim. They are re-exported from recognition_manager for existing imports, and a CaptureSource protocol is declared in common_types.py. Tests repoint their patches of the moved helpers to the new module. Closes #760 * fix(audio): annotate capture API and keep a superseded session's source * fix(audio): reset retry counters when a new capture session starts * fix(audio): keep last-error timestamp across capture sessions The new-session reset wiped _last_audio_error_time, so an error within five seconds of the previous session's error always took the reconnect path instead of failing fast. Only the attempt count is per-session; the timestamp is also the rapid-failure throttle. --------- Co-authored-by: Jatin K Malik <jatinkrmalik@gmail.com> |
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ba721779c3 |
fix(downloads): abort blocked model fetches on cancel (#888)
* fix(downloads): abort blocked model fetches on cancel requests.get() has no way to abort while it is still resolving, connecting, or waiting for response headers — which is what an unreachable download server looks like. The cancel flag was only checked between response chunks, so Cancel sat until the request timed out. The blocking open now runs on a helper thread the caller polls every 200 ms; on cancel it raises at once while the abandoned attempt stays bounded by the existing timeouts. The settings dialog's download workers also reported "Model ready to use" whenever the apply returned True, but reconfigure() can no-op when the selection matches live state — success without a download. They now pass force_reinit so a reported success means the engine actually initialized the downloaded model. Fixes #679 * fix(downloads): bound cancel openers, close late responses - Track blocked request opener threads and give each attempt its own stop event so a cancel-and-retry cannot stack unaccounted requests and a response landing after cancel is closed instead of leaked - Catch requests.exceptions.RequestException in the opener instead of a bare Exception - Close the streaming response on the mid-stream cancel path - Make the blocked-open test helper cancellable and reap tracked openers; check each download worker call site for force_reinit separately; add missing return annotations on new test helpers and methods --------- Co-authored-by: Jatin K Malik <jatinkrmalik@gmail.com> |
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38e5be70ba |
feat(parakeet): add optional verified Orukeet model (#840)
* feat(parakeet): add optional verified Orukeet model * fix(parakeet): recover from invalid release manifests * chore: mark Orukeet tip verified Empty signed tip so the ready-bar Verified gate clears on contributor unsigned history. --------- Co-authored-by: Jatin K Malik <jatinkrmalik@gmail.com> |
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Jatin K MalikandGitHub
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cdfe541c25 |
feat(speech_recognition): add faster-whisper engine backend (#543)
* 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 |
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8f4aeca2f1 |
feat(asr): add Parakeet TDT 0.6B engine via sherpa-onnx (#802)
* feat(asr): add Parakeet engine via sherpa-onnx Adds a "parakeet" engine backed by sherpa-onnx, running NVIDIA Parakeet TDT 0.6B int8 models on CPU: v3 (25 European languages, auto-detected) and v2 (English). Output is punctuated and capitalized. On an Intel Core Ultra 7 155H it decodes at about 12x realtime on CPU (RTF 0.08), roughly 8x faster than whisper.cpp large-v3-turbo over the same clips with its Vulkan GPU backend (RTF 0.59). Being a transducer it also has no 30s window to pad, so a short push-to-talk utterance returns in ~0.3s instead of ~2.4s. Follows the existing engine layout: utils/parakeet_model_info.py holds the catalog and the get_model_path / is_model_downloaded / list_downloaded_models / delete_model helpers, while _init_parakeet / _transcribe_with_parakeet / _download_parakeet_model follow the same shape as their whisper.cpp counterparts and reuse _stream_model_download for progress and cancellation. Registered in the engine dispatch, the settings engine/model/language pickers, the model info card, the download prompts, the unused-downloads list and install.sh. Models download to <models_dir>/parakeet/<model>/ via temp files renamed on success; is_model_downloaded requires all four files, so an interrupted download is retried rather than loaded. Requires the new "parakeet" extra (sherpa-onnx). * fix(install): write only the engine key for parakeet The parakeet branch duplicated a full default config.json. ConfigManager deep-merges DEFAULT_CONFIG on load, so every other key was redundant: a config holding only "engine": "parakeet" still resolves parakeet_model_size to v3-european along with the VAD, shortcut and text-injection defaults. * fix(install): keep push-to-talk defaults and switch existing configs Writing only the engine key left config.json without a shortcuts section, which _migrate_shortcuts_config reads as a pre-push-to-talk upgrade and pins back to ctrl+ctrl/toggle - contradicting the installer's own "Hold Right Alt while you speak" message. Seed that section too. Point the config at parakeet with set_configured_engine rather than only on first create, so --engine=parakeet also switches a machine that already has a config.json, and give print_welcome_message a parakeet arm so the summary is not blank. The interactive picker overwrites SELECTED_ENGINE, so document the flag combination that reaches this branch. * fix(asr): pin Parakeet bundles and report one progress bar Pin each bundle to a Hugging Face commit instead of resolve/main, so a file replaced upstream cannot change what an install downloads. This is the same approach whispercpp_model_info takes with its pinned revision. Remap each file's progress into its slice of the bundle. The four files were reported through the single-file downloader independently, so the fraction ran to 1.0 and restarted four times; it now advances once and names the file being fetched. * fix(asr): reject a truncated Parakeet download _stream_model_download only rejects an empty body, so a truncated but nonempty response was renamed into the model directory and then reported as installed, because is_model_downloaded checks existence. Record the byte size of each file at the pinned revision and check it before the rename, the same order whisper.cpp verifies its digest in. A short file is a truncated transfer rather than an upstream change, since the revision is pinned, so it raises and the temp file is removed. * style(asr): annotate the Parakeet model catalog mypy inferred the catalog values as object, so reading file_sizes out of an entry raised attr-defined and no-any-return under `just typecheck`. * fix(asr): pin Parakeet digests in model_checksums.txt AGENTS.md requires every speech model to be verified against a pinned digest before install, failing closed on an unpinned one. Parakeet was checking only the byte size. Teach scripts/generate-model-checksums.py to emit Parakeet entries: the ONNX files are LFS so Hugging Face publishes their sha256, and tokens.txt is hashed from the downloaded bytes the way VOSK archives are. Several bundles ship the same file names, so a key carries the model name. _download_parakeet_model now calls verify_model_file before the rename and catches ChecksumError alongside the other download failures, matching the whisper.cpp downloader. * fix(asr): verify on-disk Parakeet models before load Existing bundle files were trusted by path alone, so a leftover or copied-in tree could reach sherpa-onnx unchecked. Hash each file against its pin on download skip and on init, and cover the Parakeet pins in CI. * fix(ui): hide Parakeet language picker that ignores the setting Parakeet language coverage is the model choice, not a catalog language. Hide the picker and persist auto so Settings does not write a lying value. * fix(asr): normalize Parakeet language to auto at startup CLI --language and stale saved languages still reached SpeechRecognitionManager even though Parakeet ignores catalog language. Force auto on the shared helper used by main and the manager so stored settings stay honest. * fix(ui): restore language after leaving Parakeet Remember the prior Whisper/cpp language across a Parakeet visit so switching back does not leave recognition stuck on auto. Keep Parakeet forced to auto and the picker hidden. Also satisfy black on the startup normalizer path. * fix(ui): keep language memory across Vosk fallback Vosk's unsupported-language en-us coercion was writing into _last_non_parakeet_language, so Whisper→Parakeet→Vosk→Whisper restored en-us instead of the user's Greek (or other) preference. Remember the pre-coercion catalog language and prefer it when leaving Vosk. * fix(ui): keep language memory when entering Parakeet from Vosk Vosk's coerced en-us fallback was still written into _last_non_parakeet_language on Parakeet entry, so Vosk→Parakeet→Whisper restored en-us instead of the pre-coercion preference (Greek or auto). Share one coerced-fallback predicate across entry, leave-Vosk, and language sync, and cover those paths with regression tests. * fix(tests): set initializing flags false on language-change stubs Plain Mock attributes are truthy and were short-circuiting the handler. --------- Co-authored-by: Alex Thunder <AlexThunder@gmail.com> |
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f43f9dcd72 |
fix: leftover engine repair, just --no-sync, and ggml verify from #713 (#732)
* fix: leftover engine repair, just --no-sync, and ggml verify from #713 #713 only rewrote a broken config.json toward whisper_cpp, so a reinstall that kept the old engine still died when vosk was the extra that installed. verify_configured_engine now prefers SELECTED_ENGINE, then any working extra, and the vosk fallback rewrites an existing file. just recipes use uv run --no-sync so they do not prune extras from just deps-all. CONTRIBUTING lists libgirepository-2.0-dev for Ubuntu 24.04. An unverified ggml file is not loaded if unlink fails, and an unpinned name is refused rather than deleted. * fix(appimage): retry tooling downloads on curl reset * fix(build): bootstrap .venv for --no-sync just recipes and cover the contributor path in CI --------- Co-authored-by: Sergey Silaev <hello@8am.dev> |
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Sergey SilaevandGitHub
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582d494633 |
chore(build): uv tooling, a Python 3.11 floor, and verified model downloads (epic #701, phases 2.5 & 5) (#713)
* chore(build): migrate justfile tooling to uv All recipes now run through 'uv run' against .venv, with a shared DEV_EXTRAS variable (dev + vad) because uv syncs the environment exactly and would otherwise uninstall the dev tools between recipes. 'deps' installs dev+vad; new 'deps-all' covers every extra. 'build' switches to 'uv build'; 'version' uses --no-sync. Bump [tool.uv] required-version to >=0.12,<0.13 for uv 0.12.x, and raise the mypy python_version target to 3.12: mypy 1.19 in the lock cannot target 3.9 and numpy 2.x stubs need a 3.12 target to parse (mypy is not run in CI or pre-commit; this only affects 'just typecheck'). * fix(tests): isolate test runs from real XDG state; fix Arch model-path crash Local test runs failed en masse (185 failures) while CI stayed green: tests picked up the developer's real ~/.local/share/vocalinux models via the default XDG paths and switched IBus/keyboard code paths through the desktop session env (XDG_CURRENT_DESKTOP/ XDG_SESSION_TYPE on GNOME/Wayland, issue #478 branches). conftest now points XDG base dirs at a throwaway session-wide directory and clears session variables at import time, mirroring a fresh CI runner (paths like MODELS_DIR freeze at first import during collection, so fixture-time isolation is too late). Also guard the Arch branch of _get_system_model_paths(): it removed /usr/local/share/vocalinux/models unconditionally and crashed with ValueError on Arch hosts when a custom XDG_DATA_DIRS never added that path. Add regression tests, and make the lock-file test assert the actual $XDG_DATA_HOME/vocalinux contract instead of the hardcoded ~/.local/share default. * fix(tests): keep the IBus engine double a plain class Python 3.14's unittest.mock re-instantiates a user subclass when it builds child mocks (klass(name=...)). VocalinuxEngine inherits from whatever IBus.Engine resolves to, and the test module bound that to the MagicMock class itself, so every engine instantiation raised TypeError: VocalinuxEngine.__init__() got an unexpected keyword argument 'name' on 3.14 while passing on 3.13. Replace it with a plain stand-in class that still hands out per-instance MagicMocks for the IBus API surface the engine touches. The same pattern remains in test_ibus_engine.py, test_ibus_engine_utils.py, test_ibus_active_engine_guard.py and test_ibus_xkb_wayland.py; those never instantiate the engine, so they are unaffected for now. * fix(install): build the venv from the system Python install.sh looked up a bare `python3` from PATH. Started from an activated virtualenv — a shell left in uv's .venv after `just deps` — it built venv/ from that interpreter, where distro PyGObject is invisible even with --system-site-packages, and the run aborted with Distro PyGObject (python3-gi / python3-gobject) is not importable in the venv. A mismatched venv/ then survived every retry, because the installer reuses whatever venv it finds. - drop an inherited VIRTUAL_ENV (and its bin from PATH) before any interpreter lookup - select the interpreter explicitly: $SYSTEM_PYTHON (default /usr/bin/python3) or PATH python3, preferring one that can import gi, and create the venv with it instead of `python3` - recreate venv/ when it was built by a different interpreter - name the interpreter in the PyGObject guard's error Documents the two environments (uv's .venv for tooling, venv/ for the installed app) in CONTRIBUTING, the justfile header and AGENTS.md, and adds the mismatch symptom to the INSTALL troubleshooting section. * chore(python): raise the supported floor to 3.11 requires-python promised 3.9 while the CI matrix ran 3.9/3.10/3.11/3.13, the classifiers advertised up to 3.14, mypy targeted 3.12 and install.sh enforced 3.9 — five different answers to "which Python does this support". Settle on 3.11 everywhere: pyproject (requires-python, classifiers, black targets), install.sh's MIN_VERSION, check-system-deps.sh, the distro package map, the CI matrix (now 3.11-3.14, matching the classifiers), the release and nightly workflows, and the docs. mypy now targets the floor instead of 3.12, so type checking covers what we promise; numpy 2.x ships stubs in 3.12 syntax that a 3.11 target cannot parse, so its imports are skipped. (mypy has 71 pre-existing errors either way; no CI job gates on it.) uv.lock and the requirements/* exports are regenerated — dropping 3.9/3.10 removes most of the version-conditional resolution branches. tests/test_python_version_policy.py pins the invariant: install.sh's floor, requires-python, the classifiers and the CI matrix must agree. * ci: run lint and tests from uv.lock The lock file and the hash-pinned exports were not enforced anywhere: CI still built a venv by hand and installed unpinned `PyGObject` plus `-e ".[dev,vad]"`, so the tool versions it checked against had nothing to do with the ones `just lint` uses locally. Both Python jobs now use astral-sh/setup-uv and run through `uv sync --locked` / `uv run --locked`, which also fails the build when uv.lock drifts from pyproject.toml. Partially covers phase 5 of #701 (tests install from the lock, lock freshness gate); trusted publishing, artifact checksums and action SHA pinning are still open there. * ci: lint from a dedicated dependency group The lint job failed on this branch: `uv run --extra dev` syncs the whole project, so it tried to build pyaudio from source on a runner that installs no system dependencies. src/pyaudio/device_api.c:9:10: fatal error: portaudio.h: No such file or directory Move black/isort/flake8 out of the `dev` extra into a `lint` dependency group. CI runs `uv run --locked --only-group lint`, which installs the three pure-Python tools and skips the project entirely — no portaudio or girepository headers needed. `just deps` and DEV_EXTRAS request the group alongside the dev extras, so the local environment still carries test and lint tooling at once and `just lint` matches CI version for version. pre-commit is unaffected: its hooks pin their own tool versions upstream. * fix(install): never configure an engine the venv cannot import vosk became an optional extra in #705, but the installer still writes `"engine": "vosk"` into config.json on the whisper.cpp fallback path even when installing the extra only produced a warning. config.json also survives reinstalls — every writer guards on "file does not exist" — so an engine picked by an earlier attempt outlives the venv that supported it. Either way Vocalinux dies at startup: ModuleNotFoundError: No module named 'vosk' - the fallback now writes the vosk config only when `import vosk` actually succeeds, and otherwise leaves the engine configuration alone - a new verify_configured_engine() runs near the end of the install: if config.json selects vosk and the venv cannot import it, it says so and prints both fixes instead of leaving a broken install behind * feat(models): verify every model download against a pinned digest Pins a sha256/md5 per downloadable speech model in src/vocalinux/utils/model_checksums.txt and verifies against it in both install.sh and the runtime downloaders, before the file is moved into place. Verification fails closed. Covers phase 2.5 of #701; see the PR for details. * docs(agents): rebase AGENTS.md onto the #727 rewrite * fix(install): hash models that are already on disk instead of trusting them * refactor(models): one download path per engine, and fix Whisper's * docs(install): drop distros that cannot meet the 3.11 floor * docs: retire the distros and Python versions the 3.11 floor rules out * fix(install): abort instead of warning when Python is below the floor * fix(install): fall back to the system Python, not the one on PATH * fix(install): match an existing venv by installation, not by X.Y * fix(install): repair a config naming an engine the venv cannot import * fix(models): pin VOSK by the sha256 of bytes we fetched, not upstream's md5 * fix(justfile): request the dev set in every recipe that syncs * test(version): scan the docs and website trees for a stale Python floor * docs: correct the stale model-checksum and distro claims * fix(models): stamp the VOSK tree the app extracts, as the installer does * fix(install): replace an unverified VOSK model only once its successor is ready * docs(install): align the Fedora floor with the rest of the tree * test(install): drop an f-string with no placeholders * test(models): stub the downloader probe the VOSK installer test relies on * docs: drop the long dashes from two model-checksum comments * fix(install): gate on the interpreter, not on the distro release label * fix(justfile): export the lint group into requirements/dev.txt * fix(models): unpack the VOSK tree into staging and stamp it before the swap * fix(whisper): adopt a checkpoint an earlier release stored under the catalog name * docs(settings): state what a stray Whisper copy really means for deletion * fix(models): hash a whisper.cpp model found on disk before it reaches ctypes * docs(contributing): stop telling readers to uninstall their linters * fix(install): stop warning off distros the project documents as supported * docs(distros): file the supported derivatives under supported |
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Jatin K MalikandGitHub
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20375f8657 |
fix(audio): filter unsafe virtual devices that crash capture (#629)
* fix(audio): filter unsafe virtual devices that crash capture This is a defensive fix for #624 heap corruption seen when PortAudio opens PipeWire pseudo-devices such as DeepFilterNet, default, pipewire, paplay, monitor, null, dummy, or filter-chain sources. The root cause is not fully proven, but avoiding explicit capture from these unsafe virtual rows should keep dictation on real microphones while still allowing System Default through device_index=None. If this still crashes with a physical microphone selected, please confirm with the exact physical device name and audio stack details so the capture path can be narrowed further. Fixes #624 * fix(settings): sync audio device fallback with raw name restore Address Bugbot review on #629: match legacy "(default)" saved names and clear stale config/engine state when a filtered device falls back to System Default. * fix(audio): keep system default capture off pseudo device indices Stop converting System Default to an explicit PortAudio index in the mic test, and fall back to host default capture when every enumerated input is filtered as unsafe. * test(audio): expect system-default fallback on reconnect * test(audio): cover system-default fallback paths for capture |
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Jatin K MalikandGitHub
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ca24264c85 |
fix(audio): stop Bluetooth mic probing from corrupting the heap (#599)
* fix(audio): prevent Bluetooth mic probe heap corruption Open PortAudio streams only once when negotiating capture format, and always stop_stream() before close(). Separate channel/rate probing was aborting on Bluetooth SCO devices (e.g. FreeBuds) with malloc corruption. Fixes #567 * refactor(audio): open capture stream once instead of probe-close-reopen Adversarial review of the first fix found it still closed the probe stream and immediately reopened the device — the same rapid open/close pattern blamed for the Bluetooth SCO heap corruption, just fewer cycles. _open_capture_stream() now returns the successfully negotiated stream and all three callers (mic test, recording, reconnect) use it directly, so each capture session performs exactly one PortAudio open. Also drops the dead known_working_rate parameter. * test(audio): cover negotiation fallback paths for codecov patch Add tests for mic-test, recording, and reconnect fallback branches when _open_capture_stream returns no stream, plus Bluetooth settle-on-failure and empty-read reconnect cleanup. Brings patch diff coverage above 80%. |
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Jatin K MalikandGitHub
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853c1504b2 |
chore(release): prepare v0.14.1-beta (#525)
Patch release for Flatpak/AUR packaging and post-0.14.0 fixes: installer wrappers, ydotool dual API and Flatpak socket probe, model download timeouts, layout-aware hotkeys, and related docs/web bumps. |
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3303d075a6 |
Fix: Audio device index mismatch causing crash on recording start (#498) (#499)
* fix(audio): resolve device by name to prevent index mismatch crash (#498) Audio device indices can shift between sessions when USB devices are replugged or virtual devices are added/removed. A saved device_index=24 (BRIO webcam) could later point to 'speech-dispatcher-dummy', causing PortAudio to attempt recording from a virtual device and triggering malloc corruption / SIGABRT. Fix has three parts: 1. Store and match by device name, not just index - Config already saves device_name alongside device_index - At recording time, _resolve_device_by_name() enumerates current devices and finds the one matching the saved name - Falls back to stored index, then system default (with warning log) - main.py now passes audio_device_name to SpeechRecognitionManager 2. Filter virtual devices from input device enumeration - _is_virtual_device() detects speech-dispatcher, dummy, null sink, monitor, and ALSA output devices - get_audio_input_devices() skips virtual devices - Settings dialog dropdown only shows real input devices - Debug logging in _record_audio also skips virtual devices 3. Validate resolved device has input channels (from flatpak branch) - Extra safety check: after resolving, verify maxInputChannels > 0 - Falls back to system default if resolved device is invalid - Brings the validation from feature/flatpak-packaging to main Closes #498 * style: apply black formatting to recognition_manager.py * test: add audio_device_name kwarg to mock assertion * test: add coverage for _is_virtual_device, _resolve_device_by_name, device name management * test: fix StopIteration in fallback test by using return_value for mock * ponytail: remove redundant validation and simplify _resolve_device_by_name - Remove ~20 lines of dead validation in _record_audio() — _resolve_device_by_name and _resolve_valid_input_device already check maxInputChannels and virtual devices - Simplify _resolve_device_by_name to just find index by name, then delegate all validation to _resolve_valid_input_device (which already does channel/virtual checks) - Update tests to match the simplified delegation pattern * style(speech): format device fallback warning * test(speech): cover audio device fallback edges * test(speech): cover reconnection device fallback --------- Co-authored-by: Jatin K Malik <jatinkrmalik@users.noreply.github.com> |
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Jatin K MalikandGitHub
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fa4da40e7b |
test(coverage): improve test coverage from 57% to 80%+ (#327)
* test(coverage): improve test coverage from 57% to 80%+ Add 30 new test files with 861 additional test cases to improve overall test coverage from 57% to 80%+ (statement coverage). Key modules covered: - recognition_manager.py: 43% → 69% (audio device detection, transcription, model download, engine initialization, buffer management) - text_injector.py: improved coverage for X11/Wayland text injection, environment detection, clipboard fallback, shortcut injection - ibus_engine.py: 22% → 73% (engine lifecycle, text injection, socket server) - evdev_backend.py: 11% → 78% (device detection, key event handling) - pynput_backend.py: 43% → 76% (start/stop, key handling, callbacks) - keyboard_backends/__init__.py: 54% → improved (backend creation, env detection) - whispercpp_model_info.py: 32% → improved (GPU detection, model recommendations) - about_dialog.py, first_run_dialog.py, main.py, single_instance.py, common_types.py, config_manager.py, autostart_manager.py: various improvements All 1433 tests pass with proper test isolation to prevent mock pollution between test modules. * test(quality): audit and fix test quality issues Code review audit identified and fixed the following issues: - Remove bare try/except blocks that swallow all errors (7 tests fixed in recognition_manager_deep, replaced with proper assertions or deleted) - Delete source code inspection tests that read .py files as strings instead of testing behavior (deleted test_about_dialog_coverage.py and test_first_run_dialog_coverage.py entirely - ~35 useless tests removed) - Add meaningful assertions replacing weak assertIsNotNone/assertIsInstance checks (common_types_coverage, ibus_engine_coverage, keyboard_backends_extra) - Fix tests that mock the system under test instead of its dependencies (text_injector_extra now mocks subprocess.run instead of injection methods) - Add missing assertions to tests with no verification (ibus_engine focus_out, log window info, copy to clipboard) - Verify download tests check requests.get was called with correct URLs (coverage_boost download tests) - Fix pytest warning by renaming test_audio_input import to avoid pytest collecting it as a test function All 1356 tests pass with 0 failures and 0 warnings. Statement coverage: 80.3% (3257/4054 lines covered). * style(tests): fix black formatting and isort import ordering Auto-format all new test files with black and isort to pass CI lint checks. * fix(tests): resolve CI hangs and rename test files for clarity - Fix CI hangs by properly mocking gi/GTK/IBus in all test files - Fix sys.modules pollution in recognition manager tests by using tmp_path - Add pytest-timeout to prevent future hangs - Rename 28 test files to use descriptive, consistent names mapping to source modules * fix(tests): resolve Python 3.13 CI failures - Fix _load_stdlib_module() in test_recognition_manager_downloads.py to handle stdlib modules that are packages (directories with __init__.py) rather than single .py files. In Python 3.13, zipfile became a package, causing FileNotFoundError during test collection (exit code 2). - Fix invalid escape sequence '$' in test_cross_distro_compatibility.py by using a raw string. Python 3.13 reports this as SyntaxWarning and Python 3.14 will make it a SyntaxError. * fix(tests): use direct import for zipfile instead of _load_stdlib_module The _load_stdlib_module approach fails on Python 3.13 where zipfile is a package (zipfile/__init__.py). Loading it via spec_from_file_location with a custom name breaks relative imports inside the package (e.g. 'from ._path import ...' resolves to '_stdlib_zipfile._path' which doesn't exist). Simply import zipfile at module level before any test mocks can pollute sys.modules — this is safe because the module-level code runs during test collection, before any test fixtures or patches are applied. * fix(tests): mock gi/GTK in conftest to prevent CI hangs On CI, real PyGObject is installed and module-level imports in vocalinux source files (ibus_engine, tray_indicator, settings_dialog, etc.) trigger GTK initialization or IBus daemon connections that hang indefinitely in headless environments. pytest-timeout's signal-based timeout cannot interrupt these C-level blocking calls. Fix by mocking gi and gi.repository in conftest.py (which runs before any test module is collected), ensuring all test files are protected regardless of whether they remember to mock individually. Also add timeout-minutes: 10 to the CI test job as a safety net so that any remaining hangs fail fast instead of running indefinitely. * fix(tests): unconditionally mock gi in conftest for CI The previous 'if gi not in sys.modules' guard was ineffective on CI because PyGObject is installed via pip, so the real gi module is already loaded. This caused GTK initialization and IBus daemon connections that hang indefinitely in headless CI environments. Now unconditionally replace gi and gi.repository with mocks during test collection, regardless of whether the real package is installed. * fix(tests): reduce timeout to 10s and use thread-based timeout Use timeout_method=thread instead of signal (default) so that pytest-timeout can interrupt C-level blocking calls (GTK operations, socket accepts, subprocess waits) that the signal-based method cannot handle. Also reduce per-test timeout from 30s to 10s since no legitimate unit test should take longer, and hanging tests were consuming the entire CI job timeout budget. * fix(tests): set global socket timeout to prevent blocking on CI Tests in test_ibus_engine.py create real Unix sockets with daemon threads that block on socket.accept(). When tests fail or timeout, these threads remain blocked indefinitely, preventing pytest from completing. The thread-based timeout catches the hang but cannot terminate the blocking accept() call. Set socket.setdefaulttimeout(5) in conftest.py so all socket operations (accept, connect, recv) will raise socket.timeout after 5 seconds instead of blocking forever. * fix(tests): add cleanup fixture for IBus socket server threads Add autouse fixture that stops any leftover VocalinuxEngine socket server threads after each test. Tests that trigger _start_socket_server() spawn daemon threads blocking on socket.accept() that persist after the test completes, eventually causing pytest-timeout to kill the process. The cleanup fixture sets _server_running=False and closes the server socket, which unblocks the accept() call and allows the daemon thread to terminate. * fix(tests): reduce socket timeout to 0.1s to avoid slowing tests The 5-second socket timeout caused socket operations in daemon threads to block for 5 seconds per iteration before timing out, significantly slowing the test suite on CI. Reduce to 0.1s so blocking socket calls fail fast without noticeably impacting test execution time. * fix(tests): use 2s socket timeout and increase CI timeout to 15min The 0.1s socket timeout was too aggressive and caused legitimate test socket operations to fail. Use 2s which is long enough for test sockets to work but short enough to unblock daemon threads. Increase CI job timeout to 15 minutes to accommodate the socket timeout overhead from daemon threads that retry every 2 seconds. * fix(tests): block known-blocking daemon threads to prevent CI hangs Instead of using socket timeouts (which either break tests or are too slow), prevent specific known-blocking daemon threads from starting: - ibus_engine.server_thread: blocks on socket.accept() - evdev_backend._monitor_devices: blocks on select.select() These threads are identified by their target function name and skipped during Thread.start(). The thread is marked as started/stopped so join() calls in cleanup code don't raise RuntimeError. Test-created daemon threads (e.g. mock socket servers) are unaffected since they use different target function names. * fix(tests): patch Thread.join for Python 3.13 compatibility Python 3.13 changed threading internals — join() now uses _handle.join() which raises 'thread not started' for threads that were never actually started. Instead of trying to fake internal state, patch join() to be a no-op for threads that were skipped by our _safe_thread_start guard. This fixes the 2 remaining test_evdev_backend_ext failures on Python 3.13. |