- Move startup banner into main.py so it shows the actual configured
port instead of a hardcoded 8080 in the launcher scripts
- Wrap tkinter import in try/except so embedded Python (which lacks
tkinter) logs a warning instead of crashing the overlay thread
- Add Color Strip Processing Template (CSPT) entity: reusable filter chains
for 1D LED strip postprocessing (backend, storage, API, frontend CRUD)
- Add "processed" color strip source type that wraps another CSS source and
applies a CSPT filter chain (dataclass, stream, schema, modal, cards)
- Add Reverse filter for strip LED order reversal
- Add CSPT and processed CSS nodes/edges to visual graph editor
- Add CSPT test preview WS endpoint with input source selection
- Add device settings CSPT template selector (add + edit modals with hints)
- Use icon grids for palette quantization preset selector in filter lists
- Use EntitySelect for template references and test modal source selectors
- Fix filters.css_filter_template.desc missing localization
- Fix icon grid cell height inequality (grid-auto-rows: 1fr)
- Rename "Processed" subtab to "Processing Templates"
- Localize all new strings (en/ru/zh)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Reduces transfer sizes by ~75% (e.g. graph-editor.js 74KB→16KB,
en.json 92KB→22KB), significantly improving page load times.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add entity type toggle pills and running/stopped filter to graph filter bar
- DataCache: return cached data if fresh, skip redundant fetches on page load
- Entity events: use force-fetch instead of invalidate+fetch to avoid stale gap
- Add no-cache middleware for static JS/CSS/JSON to prevent stale browser cache
- Reduces API calls on page load from ~70 to ~30
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Polls Windows notifications via winsdk UserNotificationListener API
and fires matching notification CSS streams with os_listener=True.
Includes history API endpoint for tracking captured notifications.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rename all Python modules, classes, API endpoints, config keys, frontend
fetch URLs, and Home Assistant integration URLs from picture-targets to
output-targets. Store loads both new and legacy JSON keys for backward
compatibility with existing data files.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add `startup` automation condition type that activates on server boot,
replacing the per-target `auto_start` flag
- Remove `auto_start` field from targets, scene snapshots, and all API layers
- Remove auto-start UI section and star buttons from dashboard and target cards
- Remove `color` field from scene presets (backend, API, modal, frontend)
- Add card color support to scene preset cards (color picker + border style)
- Show localStorage-backed card colors on all dashboard cards (targets,
automations, sync clocks, scene presets)
- Fix card color picker updating wrong card when duplicate data attributes
exist by using closest() from picker wrapper instead of global querySelector
- Add sync clocks step to Sources tab tutorial
- Bump SW cache v9 → v10
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduces Synchronization Clocks — shared, controllable time bases
that CSS sources can optionally reference for synchronized animation.
Backend:
- New SyncClock dataclass, JSON store, Pydantic schemas, REST API
- Runtime clock with thread-safe pause/resume/reset and speed control
- Ref-counted runtime pool with eager creation for API control
- clock_id field on all ColorStripSource types
- Stream integration: clock time/speed replaces source-local values
- Paused clock skips rendering (saves CPU + stops frame pushes)
- Included in backup/restore via STORE_MAP
Frontend:
- Sync Clocks tab in Streams section with cards and controls
- Clock dropdown in CSS editor (hidden speed slider when clock set)
- Clock crosslink badge on CSS source cards (replaces speed badge)
- Targets tab uses DataCache for picture/audio sources and sync clocks
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
Rename the "profiles" entity to "automations" throughout the entire
codebase for clarity. Updates Python models, storage, API routes/schemas,
engine, frontend JS modules, HTML templates, CSS classes, i18n keys
(en/ru/zh), dashboard, tutorials, and command palette.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Profiles now activate scene presets instead of individual targets, with
configurable deactivation behavior (none/revert/fallback scene). The
target checklist UI is replaced by a searchable combobox for scene
selection that scales well with many scenes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Feature 1 — Profile Conditions: time-of-day, system idle (Win32
GetLastInputInfo), and display state (GUID_CONSOLE_DISPLAY_STATE)
condition types for automatic profile activation.
Feature 2 — Scene Presets: snapshot/restore system that captures target
running states, device brightness, and profile enables. Server-side
capture with 5-step activation order. Dedicated Scenes tab with
CardSection-based card grid, command palette integration, and dashboard
quick-activate section.
Feature 3 — MQTT Integration: MQTTService singleton with aiomqtt,
MQTTLEDClient device provider for pixel output, MQTT profile condition
type with topic/payload matching, and frontend support for MQTT device
type and condition editor.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
DDP uses fire-and-forget UDP, so when a WiFi device becomes overwhelmed
by sustained traffic, sends appear successful while the device is
actually unreachable. This adds:
- HTTP liveness probe (GET /json/info, 2s timeout) every 10s during
streaming, exposed as device_streaming_reachable in target state
- Adaptive FPS (opt-in): exponential backoff when device is unreachable,
gradual recovery when it stabilizes — finds sustainable send rate
- Honest health checks: removed the lie that forced device_online=true
during streaming; now runs actual health checks regardless
- Target editor toggle, FPS display shows effective rate when throttled,
health dot reflects streaming reachability, red highlight when
unreachable
- Auto-backup scheduling support in settings modal
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduces an engine+template abstraction for audio capture, mirroring the
existing screen capture engine pattern. This enables multiple audio backends
(WASAPI for Windows, sounddevice for cross-platform) with per-source
engine configuration via reusable templates.
Backend:
- AudioCaptureEngine ABC with WasapiEngine and SounddeviceEngine implementations
- AudioEngineRegistry for engine discovery and factory creation
- AudioAnalyzer class decouples FFT/RMS/beat analysis from engine-specific capture
- ManagedAudioStream wraps engine stream + analyzer in background thread
- AudioCaptureTemplate model and AudioTemplateStore with JSON CRUD
- AudioCaptureManager keyed by (engine_type, device_index, is_loopback)
- Auto-migration: default template created on startup, assigned to existing sources
- Full REST API: CRUD for audio templates + engine listing with availability flags
- audio_template_id added to MultichannelAudioSource model and API schemas
Frontend:
- Audio template cards in Streams > Audio tab with engine badge and config details
- Audio template editor modal with engine selector and dynamic config fields
- Audio template dropdown in multichannel audio source editor
- Template name crosslink badge on multichannel audio source cards
- Confirm modal z-index fix (always stacks above editor modals)
- i18n keys for EN and RU
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add auto_start boolean field to PictureTarget model (persisted per-target)
- Wire auto_start through API schemas, routes, and store
- Auto-start targets on server boot in main.py lifespan
- Add star toggle button on target cards (next to delete button)
- Add auto-start section on dashboard between performance and profiles
- Remove auto-start section from profiles tab
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduces a new Value Source entity that produces a scalar float (0.0-1.0)
for dynamic brightness modulation. Three subtypes: Static (constant),
Animated (sine/triangle/square/sawtooth waveform), and Audio-reactive
(RMS/peak/beat from mono audio source). Value sources can be optionally
attached to LED targets to control brightness each frame.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Audio sources moved to separate tab with dedicated CRUD API, store, and editor modal
- New "mapped" color strip source type: assigns different CSS sources to distinct LED sub-ranges (zones)
- Mapped stream runtime with per-zone sub-streams, auto-sizing, hot-update support
- Target editor auto-collapses segments UI when mapped CSS is selected
- Delete protection for CSS sources referenced by mapped zones
- Compact header/footer layout
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
LED skip: set first N and last M LEDs to black on a target. Color sources
(static, gradient, effect, color cycle) render across only the active
(non-skipped) LEDs. Processor pads with blacks before sending to device.
Rename standby_interval → keepalive_interval across all Python, API
schemas, and JS. from_dict falls back to old key for existing configs.
Remove legacy migration functions (_migrate_devices_to_targets,
_migrate_targets_to_color_strips) and legacy fields from target model.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove static/idle color from entire stack (storage, API, processing, UI, CSS, locales)
- Simplify device power button to turn-off only (send black frame, no toggle)
- Send black frame on serial port close (AdalightClient.close)
- Fix settings modal serial port dropdown showing WLED devices due to stale deviceType
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Extracts color processing and calibration out of WledPictureTarget into a
new PictureColorStripSource entity, enabling multiple LED targets to share
one capture/processing pipeline.
New entities & processing:
- storage/color_strip_source.py: ColorStripSource + PictureColorStripSource models
- storage/color_strip_store.py: JSON-backed CRUD store (prefix css_)
- core/processing/color_strip_stream.py: ColorStripStream ABC + PictureColorStripStream (runs border-extract → map → smooth → brightness/sat/gamma in background thread)
- core/processing/color_strip_stream_manager.py: ref-counted shared stream manager
Modified storage/processing:
- WledPictureTarget simplified to device_id + color_strip_source_id + standby_interval + state_check_interval
- Device model: calibration field removed
- WledTargetProcessor: acquires ColorStripStream from manager instead of running its own pipeline
- ProcessorManager: wires ColorStripStreamManager into TargetContext
API layer:
- New routes: GET/POST/PUT/DELETE /api/v1/color-strip-sources, PUT calibration/test
- Removed calibration endpoints from /devices
- Updated /picture-targets CRUD for new target structure
Frontend:
- New color-strips.js module with CSS editor modal and card rendering
- Calibration modal extended with CSS mode (css-id hidden field + device picker)
- targets.js: Color Strip Sources section added to LED tab; target editor/card updated
- app.js: imports and window globals for CSS + showCSSCalibration
- en.json / ru.json: color_strip.* and targets.section.color_strips keys added
Data migration runs at startup: existing WledPictureTargets are converted to
reference a new PictureColorStripSource created from their old settings.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
ProcessorManager: replace all isinstance checks with property-based
dispatch via base TargetProcessor (device_id, led_client,
get_display_index, update_device, update_calibration).
Remove gamma/saturation from ProcessingSettings, ColorCorrection
schema, serialization, and migration — these were never used in the
processing pipeline and are handled by postprocessing template filters.
Delete dead apply_color_correction() function.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace isinstance checks with polymorphic methods on PictureTarget
hierarchy: register_with_manager, sync_with_manager, update_fields,
and has_picture_source property.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Profiles monitor running processes and foreground windows to
automatically start/stop targets when conditions are met.
Includes profile engine, platform detector (WMI), REST API,
process browser endpoint, and calibration persistence fix.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add `static_color` capability to Adalight provider with `set_color()` method
- Add `static_color` field to Device model, DeviceState, and API schemas
- Add GET/PUT `/devices/{id}/color` API endpoints
- Change auto-shutdown behavior: restore device to idle state instead of
powering off (WLED uses snapshot/restore, Adalight sends static color
or black frame)
- Rename `_auto_shutdown_device_if_idle` to `_restore_device_idle_state`
- Add inline color picker on device cards for devices with static_color
- Add auto_shutdown toggle to device settings modal
- Update labels from "Auto Shutdown" to "Auto Restore" (en + ru)
- Remove backward-compat KC aliases from ProcessorManager
- Align card action buttons to bottom with flex column layout
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
- Eliminate 5 numpy↔tuple conversions per frame in processing hot path:
map_border_to_leds returns ndarray, inline numpy smoothing with integer
math, send_pixels_fast accepts ndarray directly
- Fix numpy boolean bug in keepalive check (use `is not None`)
- Add per-stage pipeline timing (extract/map/smooth/send) to metrics API
and UI with color-coded breakdown bar
- Expose device_fps from WLED health check in API schemas
- Auto-sync LED count from WLED device: health check detects changes and
updates storage, calibration, and active targets automatically
- Use integer math for brightness scaling (uint16 * brightness >> 8)
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>
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>
- Rename "WLED Grab" to "LED Grab" across all files (title, logs, locales)
- Merge Devices and Targets into a single Targets tab with WLED sub-tab
containing Devices and Targets sections (like Sources tab pattern)
- Make target card source name label full-width
- Render engine template config as two-column key-value grid
- Update CLAUDE.md: no server restart needed for frontend-only changes
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>
- Merge Capture Templates and Processing Templates main tabs into Picture
Streams sub-tabs (Screen Capture shows streams + engine templates,
Processed shows streams + filter templates)
- Rename "Capture Templates" to "Engine Templates" and "Processing
Templates" to "Filter Templates" across all locale strings
- Rename "Picture Streams" tab to "Streams" throughout UI and locales
- Rename "WLED Screen Controller" to "WLED Grab" across all files
- Add subtab section headers and styling for merged template views
- Remove add card labels, keeping only plus icon for cleaner UI
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>
- 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 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>
