services:
  server:
    build:
      context: .
      dockerfile: Dockerfile
      args:
        CUDA_TAG: ${CUDA_TAG:-cu128}
    user: "${UID:-1000}:${GID:-1000}"
    ports:
      - "8000:8000"
    volumes:
      - ./params:/app/params:ro
    command: python -m scripts.tools.server --port 8000 --device cuda
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s
    restart: unless-stopped

  server-cpu:
    profiles: [cpu]
    build:
      context: .
      dockerfile: Dockerfile
      args:
        CUDA_TAG: ${CUDA_TAG:-cu128}
    user: "${UID:-1000}:${GID:-1000}"
    ports:
      - "8000:8000"
    volumes:
      - ./params:/app/params:ro
    command: python -m scripts.tools.server --port 8000 --device cpu
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 120s
    restart: unless-stopped

  trainer:
    profiles: [train]
    build:
      context: .
      dockerfile: Dockerfile
      args:
        CUDA_TAG: ${CUDA_TAG:-cu128}
    init: true
    user: "${UID:-1000}:${GID:-1000}"
    volumes:
      - ${TRAIN_DATA_DIR:-./data}:/data:ro
      - ${TRAIN_MODEL_DIR:-./params}:/models/base:ro
      - ${TRAIN_CHECKPOINT_DIR:-./checkpoints}:/checkpoints
    environment:
      - TRAIN_JOB_NAME=${TRAIN_JOB_NAME:-astrai-train}
      - TRAIN_CONFIG=${TRAIN_CONFIG:-}
      - BASE_MODEL=${BASE_MODEL:-/models/base}
      - CHECKPOINT_ROOT=/checkpoints
      - TRAIN_GPU_COUNT=${TRAIN_GPU_COUNT:-all}
      - CUDA_VISIBLE_DEVICES
    entrypoint: ["bash", "/app/scripts/docker/train-entrypoint.sh"]
    ipc: ${TRAIN_IPC_MODE:-host}
    stop_grace_period: ${TRAIN_STOP_GRACE_PERIOD:-10m}
    restart: "no"
    logging:
      driver: json-file
      options:
        max-size: ${TRAIN_LOG_MAX_SIZE:-100m}
        max-file: ${TRAIN_LOG_MAX_FILES:-5}
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: ${TRAIN_GPU_COUNT:-all}
              capabilities: [gpu]