9b5cdf686fe096cb9c70b787ddb218180afeb5dc
15
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Jatin K MalikandGitHub
|
9b5cdf686f |
fix(dictation-pad): keep Test Dictation results and move pad routing to Settings (#1005)
* fix(dictation-pad): keep Test Dictation results and move pad routing to Settings Keep late recognition callbacks on the test path. Move Dictation Pad routing to Settings. Fixes #983 Fixes #986 * fix(recognition): ignore stop sentinels in pending transcription Ignore stop signals when checking queued transcription work. Add regression coverage for a real stop path leaving a sentinel behind. Fixes #983 * fix(recognition): don't count orphaned queued audio as pending transcription * fix(recognition): count superseded workers as pending transcription * test(auto-pause): give the bare manager its worker-tracking state |
||
|
|
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> |
||
|
|
4d78246174 |
fix(recognition): queue long dictation segments before the buffer cap (#976)
* fix(recognition): queue long dictation segments before the buffer cap A held push-to-talk key (or a toggle session with no pause) keeps a single segment growing until the 5000-chunk safety cap discards its oldest 25%. The cap is a chunk count, not a duration, so the effective limit depends on the capture format: at 16 kHz a chunk is 64 ms (5 min 20 s), but a device that negotiates 44.1 kHz feeds 23 ms chunks and the same cap is 1 min 56 s. A 3-minute hold therefore lost ~87 s of speech before transcription, with only a log warning to show for it. Flush the current segment onto the existing transcription queue once it reaches _max_segment_seconds (90 s), or 75% of the chunk budget when chunks are shorter, so the destructive trim can never fire on buffered speech. Recording continues while queued segments are transcribed in order; reload sessions keep the existing hold-until-reload behaviour. Adds tests for the mid-hold flush, the buffer headroom, and the reload path. * fix(recognition): hold push-to-talk text until the key is released Text injection while PTT is held can release or modify the key. * fix(recognition): hold PTT text without blocking the recognition worker c7b9bd6 held transcribed text by waiting on the release gate inside _process_audio_buffer, on the single recognition worker. Later segments then sat in the 32-slot queue for the rest of the hold instead of being transcribed: memory grows with every queued segment, and once 32 are waiting (~48 min of 90 s segments) _enqueue_audio_segment starts dropping the oldest speech. Buffer the processed text instead. Every segment is transcribed as it arrives; while the key is down its result is appended to a held list, and the held results are delivered in capture order once the gate opens. The final buffer carries the session gate too, so it cannot overtake text that was transcribed before release. Held text is flushed when the worker exits, at the end of stop_recognition, and after the reload drain. An empty mid-hold result no longer flushes the held text early. Tests assert that every queued segment is transcribed before release and delivered in capture order afterwards. * fix(recognition): transcribe held push-to-talk segments ahead of release Keep transcription running during long push-to-talk holds while retaining each result until key release. Text injection during a hold can release or modify the PTT key. * test(recognition): cover cross-session held text isolation The per-session release gate must release only its own held text: a slow worker from an earlier session finishing after a new push-to-talk session starts must not deliver the new session's text while its key is down. --------- Co-authored-by: Muhannad Abo Hajia <muhannadabohajia@gmail.com> Co-authored-by: Jatin K Malik <jatinkrmalik@gmail.com> |
||
|
Jatin K MalikandGitHub
|
65de3427fb |
perf: faster Settings, typing and dictation; mypy in CI, engine interface, architecture docs (#968)
* fix(perf): reduce startup and inference overhead * fix(perf): report effective whisper.cpp fallback settings * fix(injection): add opt-in X11 paste for long dictations * perf(vad): lower default silence timeout to 1.2s * fix(types): resolve mypy errors across application source * ci: run mypy in the lint job * ci: include mypy in lint dependency group * fix(types): narrow evdev timestamp comparison * refactor(recognition): add SpeechEngine protocol and engine dispatch table * refactor(settings): move About section and engine tables out of settings_dialog * docs: add ARCHITECTURE.md and refresh docs index and AGENTS layout * fix(settings): preserve GTK dialog compatibility after extraction * style: format touched Python modules * fix(types): keep local typecheck from syncing dependencies * test(vad): align main startup expectation with new default * style: sort engine registry and protocol test imports * test(settings): follow extracted About builder attribute alias * test(settings): isolate GTK dialog base in About test * test(settings): isolate About color scheme build test * test(settings): restore GTK base after About scheme test * test(settings): isolate About scheme check from GTK mocks * test(settings): support extracted dialog mixin methods * docs: add before/after performance benchmark charts * fix(injection): type instead of pasting when the clipboard holds non-text data |
||
|
|
5c031e64fb |
feat(settings): bilingual dictation support with deferred settings edits (#424)
* feat: add configurable Whisper language candidates * fix(settings): defer language candidate edits and tolerate list config The candidates entry applied settings on every keystroke, restarting the whisper.cpp model per character, and edits typed while an apply held the guard were dropped so the saved value could differ from the entry. Defer application like the initial prompt: mark edits dirty and apply on page change or close; _finish_auto_apply re-applies edits that landed mid-apply, and _persist_pending_text_edits saves them if the dialog closed first. A JSON list in config also crashed the dialog on open because Gtk.Entry.set_text needs a string; populate the entry through the engine's _normalize_language_candidates so both stored forms render the same text. * fix(recognition): validate whisper.cpp language candidates before selection auto_detect_language's probability map names every language the model can return, but candidate selection scored configured codes against it with a 0.0 default, so a typo or "auto" could still win the max() and reach transcription. Only codes present in the probability map are eligible now; unsupported codes are logged and skipped, and when none qualify the unrestricted detection result is used instead of forcing a code the model never scored. Also add the missing input annotation on _normalize_language_candidates. * fix(settings): persist deferred text edits off the GTK main loop _finish_auto_apply runs on the main loop and called _persist_pending_text_edits synchronously, so reconfigure() restarted the model in-process and froze the UI when the dialog closed mid-apply. Run the reconfigure + config save on a worker thread, matching the normal apply path. Also annotate _on_language_candidates_changed's signature. * fix(settings): guard deferred saves and annotate new candidate tests * fix(settings): reconcile the engine to winning settings after a mid-restart apply * fix(settings): drop superseded deferred edits instead of saving them A dialog closed mid-apply stashes its pending text edits for a worker to persist after the running apply finishes. The worker's mtime check could not tell the in-flight apply from a newer one started in a reopened dialog, so the older snapshot could reconfigure the shared engine and save over the settings that won. Serialize applies and the deferred persist on a shared lock and order them with a generation counter bumped when an apply begins. The worker now skips reconfigure and the save entirely when a newer apply has begun, and skips the restart when the running apply already landed the same values. * fix(settings): merge deferred text edits per key instead of dropping them Closing the dialog mid-apply stashes the typed prompt/candidate values with the apply's generation. When a reopened dialog applies newer settings first, the generation check used to discard the whole stash — losing the closed dialog's edits even where the newer apply never touched those keys. Persist keeps a pre-edit baseline per key: after a newer apply lands, only keys it actually changed are dropped; the rest still reconfigure the engine and save, so a stale value can never reach the shared engine while untouched edits are no longer lost. * refactor(settings): narrow deferred-edit persist exception with context * chore: retrigger ci --------- Co-authored-by: Jatin K Malik <jatinkrmalik@gmail.com> |
||
|
Jatin K MalikandGitHub
|
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 |
||
|
Jatin K MalikandGitHub
|
dcd8d06077 |
fix(asr): keep Parakeet recognition alive after decode errors (#803)
* fix(asr): keep Parakeet recognition alive after decode errors sherpa-onnx create/decode exceptions were escaping the recognition thread. Catch them like whisper.cpp, annotate the Parakeet helpers, and cover create_stream failure. * fix(asr): narrow Parakeet transcription exception handling Keep create_stream/decode survival, but stop swallowing unrelated bugs. Same RuntimeError/OSError/ValueError tuple as Whisper. |
||
|
|
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> |
||
|
Sergey SilaevandGitHub
|
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 |
||
|
Jatin K MalikandGitHub
|
c39f9ce431 |
fix(recognition): play stop sound after audio thread joins to prevent capture on short recordings (#436)
Moves play_stop_sound() to after audio_thread.join() but before the final buffer processing. This closes the race where the audio thread's in-flight chunk could capture the stop cue for short (≤ ~192 ms) recordings, while still feeling immediate compared to the original placement after all recognition cleanup. |
||
|
juanfradbandGitHub
|
a267f500dd | fix: play stop sound immediately on release (#426) | ||
|
Jatin K MalikandGitHub
|
0556d169b3 |
feat(settings): add Advanced tab with whisper.cpp anti-hallucination parameters (#415)
* feat(settings): add Advanced tab with whisper.cpp anti-hallucination parameters Add a new Advanced settings tab that exposes whisper.cpp decoding parameters to help users reduce hallucinations and tune recognition behavior. Parameters exposed: - No Timestamps (default: on) - Suppress Non-Speech Tokens (default: on) - No Context (default: on) - Initial Prompt (default: empty) - Temperature (default: 0.0) - Temperature Increment (default: -1.0, disables fallback) - Entropy Threshold (default: 2.4) - Logprob Threshold (default: -1.0) - No-Speech Threshold (default: 0.6) All parameters are saved under the advanced config section and are only active when the whisper.cpp engine is selected. The UI grays out these settings and shows an explanatory note when another engine is active. Changes: - config_manager.py: add whisper.cpp keys to DEFAULT_CONFIG[advanced] - recognition_manager.py: read params from kwargs/config, pass to Model() - main.py: pass advanced settings from config to SpeechRecognitionManager - settings_dialog.py: new Advanced tab with switches, spin buttons, entry - tests: update test_main.py assertions, add whispercpp_advanced_defaults and whispercpp_advanced_persistence tests Fixes #363 * fix(whispercpp): gracefully filter unsupported params for pywhispercpp 1.4.1 pywhispercpp 1.4.1 does not expose no_timestamps or suppress_non_speech_tokens to Python even though they exist in the underlying whisper.cpp C struct. This causes AttributeError on startup. Add _load_model_with_compatible_params() which catches AttributeError, identifies the unsupported param from the error message, removes it, and retries until the model loads successfully or a non-AttributeError occurs. Also refactor _build_whispercpp_model_kwargs() from _load_whispercpp_model() for testability. Fixes local startup crash reported during PR testing. * fix(whispercpp): persist advanced settings correctly * chore(config): add advanced power-user default Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent) * feat(settings): gate advanced controls behind power-user opt-in Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent) * fix(whispercpp): prefilter unsupported native params * fix(settings): polish advanced whispercpp controls |
||
|
jatinkrmalikandFakhareddine
|
d04947374f |
fix(recognition): preserve final speech on stop (fixes #401)
Replace hard-coded stop tail trim with configurable stop_sound_guard_ms (default 200ms) so quick key release no longer clips the final spoken word in push-to-talk mode. Co-authored-by: Fakhareddine <fe.sabbari@claranet.com> |
||
|
Jatin K MalikandGitHub
|
be0614010d |
refactor: systematic code quality improvements across 20 dimensions (#377)
* refactor: improve code quality across multiple dimensions Code quality improvements identified and driven by desloppify analysis: **action_handler.py** - Replace 9 repetitive shortcut forwarding methods with data-driven _SHORTCUT_ACTIONS class-level dispatch table - Add _make_shortcut_handler() factory for shortcut closures - Add explicit type annotation for action_handlers dict **config_manager.py** - Move 'import copy' from __init__ to module level (stdlib best practice) - Add _VALID_SECTIONS frozenset for section name validation in set() - Narrow broad Exception catch to (KeyError, TypeError) in set() - Add deprecation warning to save_settings() guiding toward save_config() **tray_indicator.py** - Consolidate all imports at module top level - Remove noqa E402 suppressions for mid-file imports - Move ResourceManager import alongside other local imports **recognition_manager.py** - Narrow broad 'except Exception' to 'except OSError' for audio device enumeration errors - Narrow 'except Exception' to 'except (FileNotFoundError, OSError)' for notification subprocess errors **Tests** - Update test assertions to use specific exception types matching narrowed catches (OSError, FileNotFoundError instead of Exception/RuntimeError) * refactor: improve type safety, callback contracts, and method decomposition **main.py** — Mid-level elegance - Document callback wiring contract: text_callback, action_callback, state_callback with threading context, argument types, and behavior - Add return type annotations to nested callback functions - Reorder: define callbacks before registration for readability **config_manager.py** — Type safety, error consistency - Add typed accessors: get_str(), get_bool(), get_int(), get_float(), get_optional_int() eliminating Any returns for common access patterns - Narrow load_config exception to (json.JSONDecodeError, OSError) - Narrow save_config exception to (OSError, TypeError) **recognition_manager.py** — Low-level elegance - Decompose _init_whispercpp (141 lines) into three focused methods: - _init_whispercpp: validation and download gating (35 lines) - _load_whispercpp_model: backend detection and model loading (55 lines) - _handle_gpu_fallback: GPU incompatibility recovery (40 lines) - Narrow exception catch from broad Exception to specific types **tray_indicator.py, settings_dialog.py** — Type safety - Migrate config access from untyped get() to typed get_str(), get_bool(), get_optional_int() across 8 call sites * refactor: narrow 11 more broad Exception catches to specific types Systematically replaced broad 'except Exception' with specific exception types across recognition_manager.py: - test_audio_input: (OSError, ValueError) for audio read errors - test_audio_input outer: (OSError, ValueError, RuntimeError) for unexpected - _init_whisper: (RuntimeError, OSError) for engine init failures - _transcribe_with_whisper: (RuntimeError, OSError, ValueError) for transcription - _download_whispercpp_model: (OSError, RuntimeError, ValueError) for downloads - _download_vosk_model: (OSError, RuntimeError, ValueError) for downloads - _download_whisper_model: (OSError, RuntimeError, ValueError) for downloads This brings the total narrowed exception catches to 18+ across the codebase, improving error consistency and making failure modes more predictable. * style: fix black formatting issues Auto-format with black to fix CI lint failures in recognition_manager.py, settings_dialog.py, and test_settings_shortcuts.py. * test: add coverage for typed config accessors Add TestTypedAccessors class with 15 tests covering: - get_str(): string values, defaults, non-string conversion, None handling - get_bool(): boolean values, defaults - get_int(): integer values, invalid input fallback, missing key defaults - get_float(): float values, invalid input fallback - get_optional_int(): int values, None values, missing keys, invalid input Fixes codecov/patch coverage requirement for new typed accessor methods. |
||
|
Jatin K MalikandGitHub
|
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. |