docker-compose.yml

version: '3.7'

services:
  app:
    container_name: highres_seg_demo
    build: .
    command: 'gunicorn -b 0.0.0.0:8075 --reload app:server'
    environment:
      DATA_TILED_URI: '${DATA_TILED_URI}'
      DATA_TILED_API_KEY: '${DATA_TILED_API_KEY}'
      MASK_TILED_URI: '${MASK_TILED_URI}'
      MASK_TILED_API_KEY: '${MASK_TILED_API_KEY}'
      SEG_TILED_URI: '${SEG_TILED_URI}'
      SEG_TILED_API_KEY: '${SEG_TILED_API_KEY}'
      USER_NAME: '${USER_NAME}'
      USER_PASSWORD: '${USER_PASSWORD}'
      # The application itself finds the local results directory as mounted below
      RESULTS_DIR: "/app/work/results"
      PREFECT_API_URL: '${PREFECT_API_URL}'
      FLOW_NAME: '${FLOW_NAME}'
      TIMEZONE: "${TIMEZONE}"
      FLOW_TYPE: "${FLOW_TYPE}"
      IMAGE_NAME: "${IMAGE_NAME}"
      IMAGE_TAG: "${IMAGE_TAG}"
      CONTAINER_NETWORK: "${CONTAINER_NETWORK}"
      # When scheduling flows through docker/podman, the container needs to
      # mount the local results directory
      MOUNT_RESULTS_DIR: "${RESULTS_DIR}"
      TRAIN_SCRIPT_PATH: "${TRAIN_SCRIPT_PATH}"
      SEGMENT_SCRIPT_PATH: "${SEGMENT_SCRIPT_PATH}"
    volumes:
      - ./app.py:/app/app.py
      - ./constants.py:/app/constants.py
      - ./callbacks:/app/callbacks
      - ./components:/app/components
      - ./utils:/app/utils
      - ${RESULTS_DIR}:/app/work/results
    ports:
      - '127.0.0.1:8075:8075'
    networks:
      mlex_tomo_framework_mle_net:


networks:
  mlex_tomo_framework_mle_net:
    driver: bridge
    external: true