da97b676a70e373b04ce63fcba197faa4cd78293
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Commits
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ea7be5f111 |
feat(identity): rename user-visible identity to voculinux with one-time legacy import
The fork takes its own name everywhere a user can see it: binaries (voculinux, voculinux-gui), desktop entry, autostart, tray, D-Bus namespace (com.voculinux.Voculinux, no alias for the old name), config/data/cache dirs, single-instance lock, IBus engine identity, tray icons, resource prefixes, VOCULINUX_* environment names, and the update-checker user agent. The internal Python module stays vocalinux and the distribution metadata keeps the upstream URLs as provenance. On first run a previous Vocalinux install's config.json, custom dictionary, and portal restore token are copied once into the new locations (new config always wins, no merge, no write-back); models re-resolve through the pinned-checksum download path. An offline naming-sweep test proves no old-name strings remain on user-visible surfaces outside the allowlist. Refs #18 |
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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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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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fa17b88f74 |
chore: bump minimum Python from 3.8 to 3.9 (#336)
* chore: bump minimum Python from 3.8 to 3.9 and adopt PEP 585 builtins - Update requires-python, classifiers, mypy target, and black target in pyproject.toml - Replace Python 3.8 with 3.9 in CI matrix and nightly workflow - Replace typing.List/Dict/Tuple/Set with builtin list/dict/tuple/set (PEP 585) - Update all 3.8 version references in README, docs, website, and install.sh - Fix test_wayland_no_tools to mock IBus availability - Remove List from common_types re-exports and update test * style: reformat test files for Black 26.x and pin version in CI Black 26.x introduced parenthesized context manager formatting. Reformat 7 test files and pin Black>=26,<27 in CI to prevent future drift from unpinned version upgrades. |
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58b635b8b9 |
feat: detect incompatible Intel GPUs and fallback to CPU (#239)
* feat: detect incompatible Intel GPUs and fallback to CPU Implements two-layer protection for users with older Intel GPUs that lack VK_KHR_16bit_storage support required by whisper.cpp Vulkan backend. Affected GPUs: Intel Gen7 and older (Ivy Bridge, Haswell, Sandy Bridge) - Intel HD Graphics 2500/4000 (Ivy Bridge) - Intel HD Graphics 4400/4600 (Haswell) Layer 1: Install-Time Detection (Prevention) - New check_vulkan_gpu_compatibility() function in install.sh - Parses GPU name from vulkaninfo output - Checks against known incompatible patterns - Shows clear warning and recommends CPU backend - Updates detect_whispercpp_backends() to skip Vulkan for incompatible GPUs Layer 2: Runtime Fallback (Safety Net) - Added error handling in recognition_manager.py _init_whispercpp() - Catches RuntimeError with "16-bit storage" or "Unsupported device" - Automatically disables Vulkan/CUDA and retries with CPU - Shows desktop notification explaining the fallback Fixes #238 * fix(gpu): improve compatibility detection and add tests |
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94f71853e0 |
reliability: Microphone Reconnection and Audio Buffer Limits (#109)
* fix: implement microphone reconnection and audio buffer limits for reliability - Add microphone reconnection logic with exponential backoff - Implement audio buffer limits to prevent memory issues - Add configurable buffer size limits with clamping - Improve error handling for audio device failures - Add buffer statistics and monitoring capabilities - Graceful stream cleanup and resource management Resolves #92 Changes made: - Added _max_buffer_size, _reconnection_attempts, _max_reconnection_attempts attributes - Implemented _attempt_audio_reconnection() method with exponential backoff - Enhanced _record_audio() method with buffer limit checking and reconnection - Added set_buffer_limit() and get_buffer_stats() methods - Improved error handling for IOError/OSError during audio recording - Added test scripts to validate reliability improvements The implementation prevents memory issues by limiting audio buffer size and automatically reconnecting to audio devices when they fail, with proper exponential backoff to prevent rapid reconnection attempts. * fix: Address code review feedback for PR #109 - Add thread lock (_buffer_lock) for audio_buffer to prevent race conditions - Fix _last_audio_error_time reset in cleanup - Protect buffer access in stop_recognition and get_buffer_stats with lock - Fix test_max_reconnection_attempts to match actual counter behavior Addresses review feedback for microphone reconnection and audio buffer limits * style: fix lint errors * fix: add missing sys import in audio_feedback.py - Add sys import required by _is_ci_mode() function - Remove temporary test_reliability scripts * style: fix black formatting --------- Co-authored-by: OpenClaw Reviewer <review@openclaw.ai> |
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1dc1d44665 |
feat: Alpha Launch v0.2.0 - Complete UX Overhaul 🚀🎤 (#39)
* feat: prepare for v0.2.0-alpha release * feat: prepare for v0.2.0-alpha release * chore: remove CHANGELOG.md, use GitHub Releases instead * refactor: use existing About dialog instead of Settings section * style: enhance About dialog UI readability * style: fix formatting with black and isort * feat: show VAD and silence timeout settings for Whisper engine - Renamed 'VOSK Settings' to 'Recognition Settings' - VAD Sensitivity and Silence Timeout now apply to both engines - Added tooltips explaining each setting - VOSK-specific model info only shown when VOSK selected * fix: resolve overlapping UI elements in settings dialog * fix: save VAD and silence timeout settings for both engines Previously these settings were only saved when VOSK was selected. Now they persist correctly for Whisper as well. * fix: show download progress when selecting undownloaded model Previously when auto-applying settings, models would download silently in the background without showing the progress dialog. Now: - Download progress dialog appears for undownloaded models - Model icons update correctly after download completes * feat: add download progress, speed, ETA and cancel button - Show real download progress percentage for VOSK models - Display download speed (MB/s) and estimated time remaining - Add Cancel button to abort downloads - Update status during extraction phase - Whisper downloads still pulse (uses internal downloader) * fix: defer model download until needed, don't block startup - App now starts instantly even if models aren't downloaded - Models are downloaded on-demand when selected in Settings - If user tries to dictate without a model, plays error sound - Added model_ready property to check if engine is usable * fix: improve first-run UX without downloaded models - Settings dialog now defaults to smallest available model, not saved config - Only show saved model if it's actually downloaded - Add desktop notification when trying to dictate without a model - Prevents auto-downloading large models on first launch * feat: add download progress tracking for Whisper models - Implement custom Whisper model download with progress/speed/ETA - Uses OpenAI's CDN URLs directly instead of whisper.load_model() - Progress callback works the same as VOSK downloads - Supports cancellation during download * fix: enable download progress callback for Whisper models Progress callback was only being set for VOSK downloads, not Whisper. Now both engines show real-time progress, speed, and ETA. * fix: update tests for defer_download and config manager mocking - test_main: Mock ConfigManager to prevent saved config from overriding test values - test_settings_dialog: Mock ModelDownloadDialog to prevent GTK init errors - test_speech_recognition: Use proper MockVoskModule class instead of MagicMock, pass defer_download=False for download test - test_whisper_support: Pass defer_download=False to trigger model loading in test * fix: resolve test failures for CI - test_main: Fix ConfigManager patch path to use source module - test_settings_dialog: Mock _is_vosk_model_downloaded and _is_whisper_model_downloaded to skip download flow, add missing dialog attributes - test_speech_recognition: Replace recognizer with properly configured mock that returns valid JSON, fixing test isolation issues when running all tests together * fix: mock _download_whisper_model in whisper test to avoid requests exception handling issue * fix: add gir1.2-girepository-2.0 dep for PyGObject on Ubuntu 24.04 - Add missing girepository-2.0 package for newer Ubuntu runners - Use --no-build-isolation for PyGObject to use system packages * fix: skip PyGObject pip install, use system python3-gi package - Use --no-deps for editable install to skip PyGObject - Install other deps explicitly without PyGObject - Add python3-gi-cairo for complete GTK support - Removes problematic girepository-2.0 build requirement * fix: install PyGObject via pip with proper build deps - Remove python3-gi/python3-gi-cairo (doesn't work with setup-python) - Install PyGObject from pip after installing build dependencies - Simplify venv setup without --system-site-packages hack * Fix GObject * fix: set GI_TYPELIB_PATH for pip-installed PyGObject to find AppIndicator3 |
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917510d3f4 |
feat: Enhance Whisper Support & Improve Settings UI (#38)
* feat: Implement comprehensive Whisper speech recognition support 🎯 Complete Whisper Implementation: - Proper model size validation and mapping (small->base, medium->small, large->medium) - GPU/CPU device detection and automatic model placement - Efficient in-memory audio processing (no temporary files) - Custom model cache directory for organized storage - Enhanced error handling with detailed logging - Optimized transcription parameters for better accuracy 🔧 Technical Improvements: - Replace temporary file approach with direct tensor processing - Add torch.no_grad() context for efficient inference - Implement proper audio normalization and padding - Add comprehensive error handling and recovery - Support for both CPU and CUDA acceleration 📦 Installation Integration: - Add --with-whisper flag to installation script - Update setup.py with correct openai-whisper dependencies - Include torch and torchaudio in whisper extras - Automatic and manual installation options 🧪 Testing & Validation: - Add comprehensive test suite for Whisper functionality - Test model size mapping, initialization, and transcription - Mock-based testing for environments without Whisper installed - Integration with existing test infrastructure 💡 Performance Optimizations: - Efficient audio buffer processing without file I/O - GPU acceleration when available - Optimized Whisper parameters for real-time usage - Memory-efficient model loading and caching 🔄 Backward Compatibility: - Maintains full compatibility with existing VOSK implementation - Graceful fallback when Whisper dependencies are missing - No breaking changes to existing API This implementation provides a production-ready Whisper integration that significantly improves transcription accuracy while maintaining the performance characteristics needed for real-time voice dictation. * feat: Add comprehensive Whisper installation support and error handling 🎯 Enhanced User Experience: - Add intelligent Whisper import error detection in settings dialog - Show helpful installation instructions when Whisper is missing - Automatically revert to VOSK when Whisper selection fails - Provide multiple installation methods and troubleshooting tips 📋 New Installation Helper: - Create install-whisper.sh script for dedicated Whisper installation - Support multiple installation methods (standard, trusted hosts, break-system-packages) - Comprehensive error handling and fallback options - Clear instructions for SSL issues and alternative approaches 🔧 Improved Error Handling: - Detect Whisper import errors specifically in settings dialog - Show user-friendly dialog with installation instructions - Graceful fallback to VOSK when Whisper unavailable - Detailed logging for troubleshooting 💡 User Guidance: - Step-by-step installation instructions in error dialog - Multiple installation options for different environments - Clear explanation of disk space and time requirements - Troubleshooting tips for common SSL issues 🛠️ Technical Features: - Automatic virtual environment detection - Installation verification and model listing - SSL issue detection and workarounds - Comprehensive error reporting and recovery This addresses the immediate issue where users get cryptic errors when trying to use Whisper without proper installation, providing clear guidance and multiple solutions for different scenarios. * feat: Enhance Whisper support and improve Settings UI ## Whisper Implementation Fixes - Fix Whisper transcription by removing unnecessary audio padding - Fix API usage: pass numpy array directly instead of torch tensor - Remove confusing model size remapping (users select exact model names) - Add fp16=False for CPU to prevent warnings - Fix missing 'import torch' in install-whisper.sh verification ## Audio System Improvements - Add ALSA error handler to suppress noisy warnings - Process remaining audio buffer when stopping recognition (fixes test button) ## Settings Dialog UI Enhancements - Add model metadata display (download status, size, recommendations) - Show ✓ for downloaded models, ↓ for pending downloads, ★ for recommended - Add system-based model recommendations (based on RAM/GPU) - Implement auto-apply settings on change (remove Apply button) - Fix VOSK settings visibility when Whisper is selected - Add VOSK model info panel with same features as Whisper - Fix test recognition to show results in dialog instead of injecting text - Fix race condition in test result display ## Startup Improvements - Load saved config on startup (engine/model now persists correctly) - Settings are remembered between app restarts ## Code Quality - Add get_text_callbacks/set_text_callbacks methods for test isolation - Update tests with proper mocking |