docker-compose.yml

# PipeRouter compute backend. Run on the GPU workstation:
#   docker compose up --build -d
# The Omniverse extension (on the host) writes voxel grids into
# /dev/shm/piperouter/<session>/ and calls the solver at http://localhost:8000.
services:
  solver:
    build: ./services/solver
    image: piperouter-solver
    container_name: piperouter-solver
    ports:
      - "${PIPEROUTER_PORT:-8000}:8000"
    environment:
      - PIPEROUTER_GRID_DIR=/dev/shm/piperouter
      - WIRE_TYPES_PATH=/app/wire_types.json
      # Build the routing graph on the GPU (cupy) and hand it to cuGraph zero-copy —
      # ~2x faster route_all, no CPU->GPU edge transfer. Falls back to numpy if cupy is
      # unavailable. (Smoothing stays CPU; set PIPEROUTER_GPU_SMOOTH=1 to also GPU that.)
      - PIPEROUTER_GPU_BUILD=1
    volumes:
      # shared grid handoff: same tmpfs path on host and container
      - /dev/shm/piperouter:/dev/shm/piperouter
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    healthcheck:
      test:
        - CMD
        - python3
        - -c
        - "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://localhost:8000/health').status==200 else 1)"
      interval: 10s
      timeout: 5s
      retries: 10