gx
37232ae1b9
cuda-grid-controller (Python 3.11+) — control plane между HA/MQTT/HTTP
и FFmpeg's vf_cuda_grid filter через ZMQ.
Modules (~700 LOC Python):
- config.py — Pydantic schema (broker, instances[], ha_discovery, http, log) + YAML loader
- layouts.py — registry известных layouts (sync с vf_cuda_grid.c Phase 2)
- ha_discovery.py — HA MQTT Discovery payloads (select.layout, sensor.current_layout,
binary_sensor.online per instance + global device entry)
- zmq_client.py — async ZMQ REQ socket к FFmpeg zmq filter
(target command args → reply parsing)
- state.py — in-memory ControllerState (active_layout per instance, asyncio.Lock)
- mqtt_loop.py — aiomqtt async loop: subscribe cuda_grid/cmd/<inst>/+/+,
publish cuda_grid/state/* (retained) + cuda_grid/event/*, LWT, HA status reconnect
- dispatch.py — CommandDispatcher: layout.set action → ZMQ send_command + state update + events
- http_api.py — FastAPI: /health, /layouts, /state, POST /layout/{inst}/set
- __main__.py — typer CLI, asyncio.gather(mqtt_loop, uvicorn.server)
Examples + Dockerfile:
- examples/controller.yaml — 2 instances (livingroom_tv, public_stream)
- Dockerfile — python:3.11-slim, ENTRYPOINT cuda-grid-controller
- README — overview, usage, FFmpeg side filter graph
End-to-end flow ready:
HA dashboard → MQTT → controller → ZMQ → FFmpeg process_command → layout switch
↓
state публикуется обратно в MQTT → HA UI обновляется
Phase 3 deliverable per gx/vf-cuda-grid#1. Phase 4 = overlays (rect/text/icon).
34 lines
662 B
YAML
34 lines
662 B
YAML
# Sample config для cuda-grid-controller.
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broker:
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host: localhost
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port: 1883
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client_id: cuda-grid-controller
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username_env: MQTT_USERNAME
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password_env: MQTT_PASSWORD
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keepalive_sec: 30
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instances:
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- name: livingroom_tv
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zmq_endpoint: tcp://127.0.0.1:5555
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default_layout: quad
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filter_target: Parsed_cuda_grid_0
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- name: public_stream
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zmq_endpoint: tcp://127.0.0.1:5556
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default_layout: dual_horizontal
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filter_target: Parsed_cuda_grid_0
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ha_discovery:
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enabled: true
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prefix: homeassistant
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device_name: CUDA Grid Composer
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device_identifier: cuda_grid_controller
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http:
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host: 0.0.0.0
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port: 8080
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log:
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level: INFO
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