docker-compose.yml

version: '3.2'
services:
 foundation:
  command: echo nop
  image: synerbi/jupyter:foundation-cpu
  build:
   context: docker/docker-stacks/images/docker-stacks-foundation
   args:
    ROOT_CONTAINER: ubuntu:22.04
    PYTHON_VERSION: "3.10"
 base:
  command: echo nop
  image: synerbi/jupyter:base-cpu
  build:
   context: docker/docker-stacks/images/base-notebook
   args: {BASE_CONTAINER: synerbi/jupyter:foundation-cpu}
 minimal:
  command: echo nop
  image: synerbi/jupyter:minimal-cpu
  build:
   context: docker/docker-stacks/images/minimal-notebook
   args: {BASE_CONTAINER: synerbi/jupyter:base-cpu}
 scipy:
  command: echo nop
  image: synerbi/jupyter:scipy-cpu
  build:
   context: docker/docker-stacks/images/scipy-notebook
   args: {BASE_CONTAINER: synerbi/jupyter:minimal-cpu}
 sirf-build:
  # convenience volume & command to copy image::/opt/ccache to localhost::./docker/devel/.ccache
  # (executed in ./docker/compose.sh by `docker compose up sirf-build`)
  volumes: [./docker/devel/.ccache:/ccache]
  command: "bash -c 'cp -r /opt/ccache/* /ccache/'"
  image: synerbi/jupyter:sirf-build-cpu
  build:
   context: .
   target: build
   args:
    BASE_CONTAINER: synerbi/jupyter:scipy-cpu
    Gadgetron_USE_CUDA: "OFF"
    BUILD_GPU: 0
 sirf:
  container_name: sirf  # for scaling, comment this out https://github.com/docker/compose/issues/3729
  image: synerbi/sirf:latest
  build:
   context: .
   args:
    BASE_CONTAINER: synerbi/jupyter:scipy-cpu
    Gadgetron_USE_CUDA: "OFF"
    BUILD_GPU: 0
   cache_from: [synerbi/jupyter:sirf-build-cpu]
  stdin_open: true
  tty: true
  # Probably requires `export USER_ID UID` to work.
  # Alternatively replace with the output of `id -u`.
  user: ${USER_ID:-${UID:-${USER:-1000}}}
  group_add: [users]
  environment:
    # CLI arguments for https://github.com/SyneRBI/SIRF-Exercises/blob/master/scripts/download_data.sh
    SIRF_DOWNLOAD_DATA_ARGS: ''
  volumes: [./docker/devel:/home/jovyan/work]
  restart: unless-stopped
  ports:
  - "9002:9002"  # gadgetron
  - "9999:8888"  # jupyter
  # for scaling, use this instead for random port assignment
  # (https://github.com/docker/compose/issues/2260):
  #- "9000-9099:9002"
  #- "8800-8899:8888"