Make the existing Application automation rule (foreground app -> activate
scene) work on the Android-TV build. A Kotlin ForegroundAppBridge reads the
foreground app via UsageStatsManager and lists launchable apps via LauncherApps;
PlatformDetector bridges it in (ahead of the Windows-only ctypes guard) so the
existing AutomationEngine / ApplicationRule / storage / deactivation modes are
unchanged. New /system/installed-apps + /system/info endpoints feed an app picker
that stores package names (vs process names on desktop); on Android the editor
hides the match-type selector since the foreground app is the only obtainable
signal. PACKAGE_USAGE_STATS is granted via an on-device button + a web-UI banner
(no blanket prompt at capture start); detection degrades gracefully until granted.
Zero new Python/Gradle deps (UsageStatsManager + LauncherApps are in-platform;
matching only string-compares the package name, so no QUERY_ALL_PACKAGES).
assembleDebug + 1897 pytest + ruff + tsc + npm build all green; independent final
review (0 blockers) + security review (no critical issues).
Add on-device webcam capture to the experimental Android-TV build. Desktop
captures webcams via OpenCV (no Chaquopy/Android wheel); this adds a push-based
AndroidCameraEngine that plugs into the same selection path desktop uses
(capture template engine_type="android_camera" + display_index, HAS_OWN_DISPLAYS).
A Kotlin CameraBridge (Camera2) enumerates cameras and opens them on demand —
only while a capture source is active, driven Python->Kotlin via a guarded jclass
singleton (BleBridge pattern) — converts each frame YUV_420_888->RGB, and pushes
RGB bytes into a module-level queue mirroring mediaprojection_engine.py. Cameras
surface as selectable displays like the desktop OpenCV engine; the data-driven
capture-template UI is unchanged. No new Python deps; no new Gradle deps
(Camera2 is in-platform).
Engine: ENGINE_PRIORITY=0 (never auto-selected over MediaProjection=100; explicit
engine_type only). Single-camera ownership is serialized with a lock + ref-count
(same-camera streams attach, different-camera refused, last release stops),
mirroring the desktop CameraEngine guard.
Permission: CAMERA requested at capture-start, gated on FEATURE_CAMERA_ANY so
camera-less TV boxes never prompt; graceful degradation when denied. The service
is promoted with the camera FGS type (+ FOREGROUND_SERVICE_CAMERA) only when
CAMERA is already granted, so backgrounded capture keeps working without risking
a failed startForeground on camera-less boxes (camera can't ride the
MediaProjection token the way audio playback capture does).
Reviewed via multi-agent adversarial pass (13 findings -> 4 fixed: device leak on
session-failure, multi-stream collision, camera FGS type, i18n key; 9 refuted).
Tests: 18 new desktop-CI tests (no device needed); full suite 1883 passed.
Verified: assembleDebug BUILD SUCCESSFUL, ruff clean.
Docs: ANDROID-REVIEW/android-webcam-capture-plan.md (design), updated
android-missing-functionality.md + README feature table + en/ru/zh locales.
Add an Android backend to os_notification_listener.py so notifications on the
experimental Android-TV build drive the existing NotificationColorStripSource
LED effects (flash/pulse/sweep, per-app colors + sounds) at app-name parity
with the Windows/Linux backends.
A Kotlin NotificationListenerService forwards the posting app's display label
across the Chaquopy JNI boundary into a new push-based _AndroidBackend +
module-level push_notification() receiver; the existing color-strip pipeline,
per-app colors/filters, and history endpoint are reused unchanged.
- Python: _AndroidBackend (probed first), push_notification() receiver,
_LinuxBackend.probe() hardened with is_linux() to exclude Android (which
also reports platform.system() == "Linux").
- Android: LedGrabNotificationListener NLS — serial single-thread executor,
full crash isolation around Python.getInstance(), label-only forwarding
(never notification title/body), ongoing/group-summary/self-package noise
filtering. Manifest service exported + gated by
BIND_NOTIFICATION_LISTENER_SERVICE (no new uses-permission).
- UX: prompt-once notification-access + manual "Grant notification access"
button wired into the D-pad focus chain (computed from visible controls);
en/ru/zh strings.
- Tests: 11 isolated unit tests — module-global + tmp_path history isolation,
push routing contract, callback-exception swallowing, None app-name, and a
desktop-regression lock on backend selection order.
- Docs: README OS-support Android column (notification + audio cells),
ANDROID-REVIEW status flipped to Implemented.
Zero new Python deps; no build.gradle.kts / Chaquopy pip changes.
README: add free & open-source (MIT) framing; add a Platforms table (Windows/Linux/macOS/Docker supported, Android-TV build marked experimental, scrcpy phone-capture retained); expand the LED device list to ~20 protocols; correct storage to SQLite, the auth model, and resource names (Output Targets, Automations); add a prebuilt-download section; remove the Architecture and Acknowledgments sections; embed dashboard, channels, live-preview, and device-picker screenshots.
docs/API.md: full rewrite from the live route modules — all 253 endpoints across 34 modules, grouped by resource with REST + WebSocket tables, accurate auth model and WS handshake, worked examples, and sensitive-endpoint markers. Replaces the stale v0.1.0 stub.
server/CLAUDE.md: storage is now SQLite (BaseSqliteStore / ledgrab.db / LEDGRAB_DATA_DIR / data_migrations.py); fix the auth description (loopback anonymous, LAN rejected with 401 — not all endpoints open); router registration happens in api/__init__.py.
- Replace URL-based image_source/url fields with image_asset_id/video_asset_id
on StaticImagePictureSource and VideoCaptureSource (clean break, no migration)
- Resolve asset IDs to file paths at runtime via AssetStore.get_file_path()
- Add EntitySelect asset pickers for image/video in stream editor modal
- Add notification sound configuration (global sound + per-app overrides)
- Unify per-app color and sound overrides into single "Per-App Overrides" section
- Persist notification history between server restarts
- Add asset management system (upload, edit, delete, soft-delete)
- Replace emoji buttons with SVG icons throughout UI
- Various backend improvements: SQLite stores, auth, backup, MQTT, webhooks
- PWA manifest, service worker (stale-while-revalidate for static assets,
network-only for API), and app icons for installability
- Root-scoped /manifest.json and /sw.js routes in FastAPI
- New mobile.css with responsive breakpoints at 768/600/400px:
fixed bottom tab bar on phones, single-column cards, full-screen modals,
compact header toolbar, touch-friendly targets
- Fix modal-content-wide min-width overflow on small screens
- Update README with Camera, OpenRGB, and PWA features
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rewritten from scratch as "LED Grab" with organized feature sections,
full architecture tree, actual config examples, and comprehensive API listing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Replace segment-based calibration with core parameters (leds_top/right/bottom/left);
segments are now derived at runtime via lookup tables
- Fix clockwise/counterclockwise edge traversal order for all 8 start_position/layout
combinations (e.g. bottom_left+clockwise now correctly goes up-left first)
- Add pixel layout preview overlay with color-coded edges, LED index labels,
direction arrows, and start position marker
- Move "Add New Device" form into a modal dialog triggered by "+" button
- Add display index selector to device settings modal
- Migrate from requirements.txt to pyproject.toml for dependency management
- Update Dockerfile and docs to use `pip install .`
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This is a complete WLED ambient lighting controller that captures screen border pixels
and sends them to WLED devices for immersive ambient lighting effects.
## Server Features:
- FastAPI-based REST API with 17+ endpoints
- Real-time screen capture with multi-monitor support
- Advanced LED calibration system with visual GUI
- API key authentication with labeled tokens
- Per-device brightness control (0-100%)
- Configurable FPS (1-60), border width, and color correction
- Persistent device storage (JSON-based)
- Comprehensive Web UI with dark/light themes
- Docker support with docker-compose
- Windows monitor name detection via WMI (shows "LG ULTRAWIDE" etc.)
## Web UI Features:
- Device management (add, configure, remove WLED devices)
- Real-time status monitoring with FPS metrics
- Settings modal for device configuration
- Visual calibration GUI with edge testing
- Brightness slider per device
- Display selection with friendly monitor names
- Token-based authentication with login/logout
- Responsive button layout
## Calibration System:
- Support for any LED strip layout (clockwise/counterclockwise)
- 4 starting position options (corners)
- Per-edge LED count configuration
- Visual preview with starting position indicator
- Test buttons to light up individual edges
- Smart LED ordering based on start position and direction
## Home Assistant Integration:
- Custom HACS integration
- Switch entities for processing control
- Sensor entities for status and FPS
- Select entities for display selection
- Config flow for easy setup
- Auto-discovery of devices from server
## Technical Stack:
- Python 3.11+
- FastAPI + uvicorn
- mss (screen capture)
- httpx (async WLED client)
- Pydantic (validation)
- WMI (Windows monitor detection)
- Structlog (logging)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
alexei.dolgolyov