mirror of
https://github.com/ruvnet/RuView
synced 2026-06-09 10:13:17 +00:00
ruv
2154b6931c
Three changes: 1. Dockerfile.rust now builds sensing-server with `--features mqtt` (ADR-115 HA-DISCO publisher) and also builds + ships the cog-ha-matter binary (ADR-116 Home Assistant + Matter cog with mDNS, embedded broker, RuVector-backed thresholds, Ed25519 witness). Adds EXPOSE 1883 for the embedded MQTT broker. 2. docker-entrypoint.sh routes `docker run <image> cog-ha-matter ...` (or `ha-matter`) to /app/cog-ha-matter, defaulting --sensing-url to http://127.0.0.1:3000 so a docker-compose deployment works out of the box. The default entrypoint (no first arg) still launches sensing-server unchanged. 3. Workflow path filter now also fires on changes to v2/crates/wifi-densepose-bfld/** and v2/crates/cog-ha-matter/** so future iteration on those crates rebuilds the image. DOCKERHUB_TOKEN rotated separately (was expired since 2026-05-13, which is why the last 5 workflow runs failed at the Docker Hub login step and `latest` on Docker Hub has stayed amd64-only despite #631 being merged). With this commit + rotated token, the next CI run should land a multi-arch `:latest` with HA-DISCO + cog-ha-matter + BFLD support. Reproduced kutayozdur's pull failure on ruv-mac-mini (Apple Silicon, Darwin arm64) via Tailscale before fixing. Refs #794, #631, ADR-115, ADR-116, ADR-118. Co-Authored-By: claude-flow <ruv@ruv.net>
93 lines
3.6 KiB
Docker
93 lines
3.6 KiB
Docker
# WiFi-DensePose Rust Sensing Server
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# Includes RuVector signal intelligence crates
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# Multi-stage build for minimal final image
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# Stage 1: Build
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FROM rust:1.85-bookworm AS builder
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WORKDIR /build
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# Copy workspace files
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COPY v2/Cargo.toml v2/Cargo.lock ./
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COPY v2/crates/ ./crates/
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# Copy vendored RuVector crates
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COPY vendor/ruvector/ /build/vendor/ruvector/
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# Build release binaries:
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# - sensing-server with `mqtt` feature so the HA-DISCO MQTT publisher
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# (ADR-115) is wired in (auto-discovery topics flow to Home Assistant)
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# - cog-ha-matter, the ADR-116 Cognitum cog that wraps HA-DISCO +
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# HA-MIND + mDNS + embedded broker for Home Assistant / Matter
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RUN cargo build --release -p wifi-densepose-sensing-server --features mqtt 2>&1 \
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&& cargo build --release -p cog-ha-matter 2>&1 \
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&& strip target/release/sensing-server target/release/cog-ha-matter
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# Stage 2: Runtime
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FROM debian:bookworm-slim
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Copy binaries
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COPY --from=builder /build/target/release/sensing-server /app/sensing-server
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COPY --from=builder /build/target/release/cog-ha-matter /app/cog-ha-matter
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# Copy UI assets
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COPY ui/ /app/ui/
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# Sanity-check the assets the runtime actually serves (regression guard for
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# #520/#514 — the published image must include the observatory and pose-fusion
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# dashboards, not just the legacy `index.html` set). Build fails if any of
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# these are missing, so a stale image can't be silently pushed.
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RUN set -e; \
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for f in /app/ui/index.html /app/ui/observatory.html /app/ui/pose-fusion.html /app/ui/viz.html; do \
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test -f "$f" || { echo "FATAL: missing UI asset $f"; exit 1; }; \
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done; \
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for d in /app/ui/observatory /app/ui/pose-fusion /app/ui/components /app/ui/services; do \
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test -d "$d" || { echo "FATAL: missing UI directory $d"; exit 1; }; \
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done; \
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test -x /app/sensing-server || { echo "FATAL: /app/sensing-server is not executable"; exit 1; }; \
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test -x /app/cog-ha-matter || { echo "FATAL: /app/cog-ha-matter is not executable"; exit 1; }; \
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echo "image assets OK"
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# Optional bearer-token auth on /api/v1/*: leave unset for LAN-mode (default),
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# set to enforce `Authorization: Bearer <token>` (see bearer_auth module, #443).
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# docker run -e RUVIEW_API_TOKEN=$(openssl rand -hex 32) ...
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ENV RUVIEW_API_TOKEN=
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# HTTP API
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EXPOSE 3000
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# WebSocket
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EXPOSE 3001
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# ESP32 UDP
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EXPOSE 5005/udp
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# MQTT broker (cog-ha-matter embedded broker — Home Assistant + Matter)
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EXPOSE 1883
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ENV RUST_LOG=info
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# CSI_SOURCE controls which data source the sensing server uses at startup.
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# auto — probe UDP port 5005 for an ESP32 first; fall back to simulation (default)
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# esp32 — receive real CSI frames from an ESP32 device over UDP port 5005
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# wifi — use host Wi-Fi RSSI/scan data (Windows netsh; not available in containers)
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# simulated — generate synthetic CSI frames (no hardware required)
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# Override at runtime: docker run -e CSI_SOURCE=esp32 ...
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ENV 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 here to make models visible to the API:
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# docker run -v /path/to/models:/app/models -e MODELS_DIR=/app/models ...
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ENV MODELS_DIR=data/models
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COPY docker/docker-entrypoint.sh /app/docker-entrypoint.sh
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# Exec-form ENTRYPOINT so Docker appends user arguments correctly.
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# Pass flags directly: docker run <image> --source esp32 --tick-ms 500
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# Or use env vars: docker run -e CSI_SOURCE=esp32 <image>
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ENTRYPOINT ["/app/docker-entrypoint.sh"]
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CMD []
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