19ddaf2dde
MVP Phase 8 feature: headless Chromium snapshot URL → PNG → existing icon
overlay infrastructure. Use case — Grafana dashboard, web chat, любой
HTML widget с transparent background поверх video composite.
Архитектура:
BrowserRenderer launches один shared Chromium instance, per-dashboard
page. Loop:
page.reload (для свежих данных — Grafana auto-refresh не triggers
в headless mode без user interaction)
page.add_style_tag (re-inject transparent CSS — reload teryает styles)
page.wait_for_selector (если selector задан)
page.screenshot(omit_background=True) или locator(selector).screenshot
save PNG к icon_dir
dispatcher._reload_icon → filter re-reads atlas
Config (dynamic_overlays.dashboards в controller.yaml):
id, target_instance, cell, url, x, y, w_px, h_px,
refresh_sec (default 2.0s, min 0.5s — frequent reload bad см. stutter memory),
inject_css (default — transparent background + zero margins),
selector (optional CSS selector — экспортить только конкретный element),
viewport_w/h (override page viewport, default = w_px/h_px;
полезно при selector чтобы page layout не collapsed),
wait_until, page_timeout_ms, opacity, z_order.
Dockerfile:
+ pip install playwright
+ playwright install --with-deps chromium (~170MB Chromium + ~150MB system libs)
Если dashboards не нужны — можно убрать оба install'а (playwright
import lazy, BrowserRenderer.start() graceful no-op без playwright).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
cuda-grid-controller
Control-plane sidecar для vf_cuda_grid FFmpeg filter. Transforms
MQTT / HTTP REST commands от Home Assistant / Node-RED / custom apps
в FFmpeg process_command через ZeroMQ. Publishes state + events наружу
для bidirectional integration.
Статус: Phase 3 work-in-progress — basic skeleton + HA Discovery + ZMQ command bridge. Phase 4+ добавит overlays, audio orchestration.
Что умеет (Phase 3)
- ✅ MQTT subscribe
cuda_grid/cmd/<instance>/layout/set→ ZMQ send → FFmpeg layout switch - ✅ MQTT publish
cuda_grid/state/<instance>/layout(retained) +cuda_grid/event/.../layout_switched - ✅ HA MQTT Discovery —
select.layout+sensor.current_layout+binary_sensor.onlineper instance - ✅ HTTP REST API:
/health,/layouts,/state,POST /layout/{instance}/set - ✅ Multi-instance (несколько FFmpeg pipelines с разными ZMQ endpoints)
- ✅ Auto-reconnect MQTT, LWT для availability tracking
Использование
pip install -e .
export MQTT_USERNAME=mqtt
export MQTT_PASSWORD=secret
cuda-grid-controller --config examples/controller.yaml
FFmpeg side — как подключить cuda_grid + zmq filter
ffmpeg -i cam1.mp4 -i cam2.mp4 -i cam3.mp4 -i cam4.mp4 \
-filter_complex "
[0:v][1:v][2:v][3:v]cuda_grid=layout=quad,
zmq=bind_address=tcp\\\\://127.0.0.1\\\\:5555
" \
-c:v h264_nvenc out.mp4
(После этого controller с zmq_endpoint: tcp://127.0.0.1:5555 сможет
переключать layout командой cuda_grid@... layout six_grid.)
HA dashboard
После startup controller'а — в Home Assistant появятся entities:
select.cuda_grid_<instance>_layout— dropdown с layoutssensor.cuda_grid_<instance>_current_layout— текущий выбранныйbinary_sensor.cuda_grid_controller_online— online/offline
Roadmap
| Phase | Что |
|---|---|
| 3 (this) | Basic skeleton + HA Discovery + ZMQ bridge для layout switching |
| 4 | Overlay API (rect/text/icon через side data) |
| 5 | Rich overlays (image/dim/graph/chat) + privacy filtering |
| 6 | Audio orchestration (state machine, domofon use case) |
Полный design: docs/design.md.