56 lines
2.3 KiB
YAML
56 lines
2.3 KiB
YAML
version: "3.9"
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services:
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sensing-server:
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build:
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context: ..
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dockerfile: docker/Dockerfile.rust
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image: ruvnet/wifi-densepose:latest
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ports:
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- "3000:3000" # REST API
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- "3001:3001" # WebSocket
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# ESP32 UDP. On Linux/macOS this works with multiple ESP32 nodes out of
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# the box. On Docker Desktop for Windows, multi-source UDP is collapsed
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# to one source IP at the WSL/Hyper-V boundary, so all-but-one node's
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# frames are silently dropped (issue #374, #386).
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#
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# Windows workaround: change this to "5006:5005/udp" and run the host
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# relay so every datagram arrives from the same loopback source:
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#
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# python scripts/udp-relay.py --listen-port 5005 --forward-port 5006
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#
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# See docs/TROUBLESHOOTING.md §9 for details.
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- "5005:5005/udp"
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environment:
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- RUST_LOG=info
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# Secure default: docker-entrypoint.sh refuses to bind the sensing
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# server on 0.0.0.0 unless a token is configured, or unauthenticated
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# trusted-LAN mode is explicitly acknowledged.
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- RUVIEW_API_TOKEN=${RUVIEW_API_TOKEN:-}
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# Uncomment only for intentionally trusted LAN deployments:
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# - RUVIEW_ALLOW_UNAUTH_LAN=1
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# CSI_SOURCE controls the data source for the sensing server.
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# Options: auto (default) — probe for ESP32 UDP then fall back to simulation
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# esp32 — receive real CSI frames from an ESP32 on UDP port 5005
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# wifi — use host Wi-Fi RSSI/scan data (Windows netsh)
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# simulated — generate synthetic CSI data (no hardware required)
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- CSI_SOURCE=${CSI_SOURCE:-auto}
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# MODELS_DIR controls where the server scans for .rvf model files.
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# Mount a host directory and set this to make models visible:
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# volumes: ["/path/to/models:/app/models"]
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# MODELS_DIR=/app/models
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- MODELS_DIR=${MODELS_DIR:-data/models}
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# No explicit command needed — docker-entrypoint.sh uses CSI_SOURCE.
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# Override with: command: ["--source", "esp32", "--tick-ms", "500"]
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python-sensing:
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build:
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context: ..
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dockerfile: docker/Dockerfile.python
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image: ruvnet/wifi-densepose:python
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ports:
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- "8765:8765" # WebSocket
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- "8080:8080" # UI
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environment:
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- PYTHONUNBUFFERED=1
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