Emulates hardware brightness by multiplying pixel values before serial
send. Stored per-device and persisted across restarts.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Baud rate is now a first-class device field, passed through the full
stack: Device model → API schemas → routes → ProcessorManager →
AdalightClient. The frontend shows a baud rate dropdown (115200–2M)
for Adalight devices in both Add Device and Settings modals, with a
live "Max FPS ≈ N" hint computed from LED count and baud rate.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduce abstract LEDClient base class with factory pattern so new
LED controller types can plug in alongside WLED. ProcessorManager is
now fully type-agnostic — all device-specific logic (health checks,
state snapshot/restore, fast send) lives behind the LEDClient interface.
- New led_client.py: LEDClient ABC, DeviceHealth, factory functions
- WLEDClient inherits LEDClient, encapsulates WLED health checks and state management
- device_type field on Device storage model (defaults to "wled")
- Rename target_type "wled" → "led" with backward-compat migration
- Frontend: "WLED" tab → "LED", device type badge, type selector in
add-device modal, device type shown in target device dropdown
- All wled_* API fields renamed to device_* for generic naming
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Skip redundant processing/DDP sends when screen is static using object
identity comparison. Add configurable standby interval to periodically
resend last frame keeping WLED in live mode. Track frames skipped,
keepalive count, and current FPS (rolling 1-second send count). Always
use DDP regardless of LED count. Compact metrics grid with label-value
rows and remove Skipped from UI display.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduce Pattern Template entity as a reusable rectangle layout that
Key Colors targets reference via pattern_template_id. This replaces
inline rectangle storage with a shared template system.
Backend:
- New PatternTemplate data model, store (JSON persistence), CRUD API
- KC targets now reference pattern_template_id instead of inline rectangles
- ProcessorManager resolves pattern template at KC processing start
- Picture source test endpoint supports capture_duration=0 for single frame
- Delete protection: 409 when template is referenced by a KC target
Frontend:
- Pattern Templates section in Key Colors sub-tab with card UI
- Visual canvas editor with drag-to-move, 8-point resize handles
- Background capture from any picture source for visual alignment
- Precise coordinate list synced bidirectionally with canvas
- Resizable editor container, viewport-constrained modal
- KC target editor uses pattern template dropdown instead of inline rects
- Localization (en/ru) for all new UI elements
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduce a new "key_colors" target type alongside WLED targets, enabling
real-time color extraction from configurable screen rectangles with
average/median/dominant modes, temporal smoothing, and WebSocket streaming.
- Split WledPictureTarget into its own module, add KeyColorsPictureTarget
- Add KC target lifecycle to ProcessorManager (register, start/stop, processing loop)
- Extend API routes and schemas for KC targets (CRUD, settings, state, metrics, colors)
- Add WebSocket endpoint for real-time color updates with auth
- Add KC sub-tab in Targets UI with editor modal and live color swatches
- Add EN and RU translations for all key colors strings
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add PictureTarget entity that bridges PictureSource to output device,
separating processing settings from device connection/calibration state.
This enables future target types (Art-Net, E1.31) and cleanly decouples
"what to stream" from "where to stream."
- Add PictureTarget/WledPictureTarget dataclasses and storage
- Split ProcessorManager into DeviceState (health) + TargetState (processing)
- Add /api/v1/picture-targets endpoints (CRUD, start/stop, settings, metrics)
- Simplify device API (remove processing/settings/metrics endpoints)
- Auto-migrate existing device settings to picture targets on first startup
- Add Targets tab to WebUI with target cards and editor modal
- Add en/ru locale keys for targets UI
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add BetterCam capture engine (DXGI Desktop Duplication, priority 4)
- Fix missing picture_stream_id in get_device endpoint
- Fix template delete validation to check streams instead of devices
- Add description field to capture engine template UI
- Default template name changed to "Default" with descriptive text
- Display picker highlights selected display instead of primary
- Fix modals closing when dragging text selection outside dialog
- Rename "Engine Configuration" to "Configuration", hide when empty
- Rename "Run Test" to "Run" across all test buttons
- Always reserve space for vertical scrollbar
- Redesign Stream Settings info panel with pill-style props
- Fix processed stream showing internal ID instead of stream name
- Update en/ru locale files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduces a new "static_image" stream type that loads a frame from a URL
or local file path, enabling LED testing with known images or displaying
static content. Includes validate-image API endpoint, auto-validation on
blur/enter/paste with caching, capture template names on stream cards,
and conditional test stats display for single-frame results.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace hardcoded gamma/saturation/brightness fields with a flexible
filter pipeline architecture. Templates now contain an ordered list of
filter instances, each with its own options schema. Filters operate on
full images before border extraction.
- Add filter framework: base class, registry, image pool, filter instance
- Implement 6 built-in filters: brightness, saturation, gamma, downscaler, pixelate, auto crop
- Move smoothing from PP templates to device stream settings (temporal, not spatial)
- Add GET /api/v1/filters endpoint for available filter types
- Dynamic filter UI in template modal with add/remove/reorder/collapse
- Replace camera icon with display icon for screen capture streams
- Legacy migration: existing templates auto-convert flat fields to filter list
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduce Picture Stream abstraction that separates the capture pipeline into
composable layers: raw streams (display + capture engine + FPS) and processed
streams (source stream + postprocessing template). Devices reference a picture
stream instead of managing individual capture settings.
- Add PictureStream and PostprocessingTemplate data models and stores
- Add CRUD API endpoints for picture streams and postprocessing templates
- Add stream chain resolution in ProcessorManager for start_processing
- Add picture stream test endpoint with postprocessing preview support
- Add Stream Settings modal with border_width and interpolation_mode controls
- Add stream test modal with capture preview and performance metrics
- Add full frontend: Picture Streams tab, Processing Templates tab, stream
selector on device cards, test buttons on stream cards
- Add localization keys for all new features (en, ru)
- Migrate existing devices to picture streams on startup
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Move delete button to cross (✕) at top-right corner of custom template cards
- Display template config as table instead of raw JSON
- Add engine_type to TemplateUpdate schema so engine changes are saved
- Fix editTemplate crash on missing template-test-results element
- Fix get_template route to catch ValueError for 404 responses
- Move device URL to pill badge next to device name
- Remove display index indicator from device cards
- Remember last used display in Test Capture via localStorage
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Generate default templates (MSS, DXcam, WGC) in memory from EngineRegistry at startup
- Only persist user-created templates to JSON, skip defaults on load/save
- Add capture_template_id to Device model and DeviceCreate schema
- Remember last used template in localStorage, use it for new devices with fallback
- Split Device Settings dialog into General Settings and Capture Settings
- Add capture settings button (🎬) to device card
- Separate default and custom templates with visual separator in Templates tab
- Add capture engine integration to ProcessorManager
- Add CLAUDE.md with git commit/push policy and server restart instructions
- Add en/ru localization for all new UI elements
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add engine.initialize() call in test endpoint to fix "Engine not initialized" error for MSS and DXcam
- Create template.py with CaptureTemplate dataclass for template data model
- Create template_store.py with TemplateStore class for template CRUD operations
- TemplateStore loads from capture_templates.json and provides get_all, create, get, update, delete methods
Fixes MSS capture test failing with "Engine not initialized" error. WGC worked because it auto-initializes in capture_display(), but MSS and DXcam require explicit initialization.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Add background health checks (GET /json/info) with configurable interval per device
- Auto-detect LED count from WLED device on add (remove led_count from create API)
- Add calibration test mode: toggle edges on/off with colored LEDs via PUT endpoint
- Show WLED firmware version badge and LED count badge on device cards
- Add modal dirty tracking with discard confirmation on close/backdrop click
- Fix layout jump when modals open by compensating for scrollbar width
- Add state_check_interval to settings API and UI
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>
