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
746 B
Docker
34 lines
746 B
Docker
# cuda-grid-controller — Python sidecar для vf_cuda_grid filter.
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FROM python:3.11-slim AS base
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1
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WORKDIR /app
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# Install deps первым layer — пересборка только при изменении pyproject.toml
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COPY pyproject.toml ./
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RUN pip install --no-cache-dir \
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fastapi \
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"uvicorn[standard]" \
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pydantic \
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pydantic-settings \
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aiomqtt \
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pyzmq \
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pyyaml \
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structlog \
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typer \
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sse-starlette
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# Source code
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COPY cuda_grid_controller ./cuda_grid_controller
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COPY examples ./examples
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RUN pip install --no-cache-dir -e .
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EXPOSE 8080
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ENTRYPOINT ["cuda-grid-controller"]
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CMD ["--config", "/app/controller.yaml"]
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