SpatialML_Population/docker-compose.yml at main · AndreWal/SpatialML_Population · GitHub

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services:
  pipeline:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: spatial-predictions
    volumes:
      # Mount raw data so it persists outside the container
      - ./data/raw:/project/data/raw:ro
      # Mount output directories for persistence
      - ./data/final:/project/data/final
      - ./data/intermediate:/project/data/intermediate
      # Mount targets store for caching between runs
      - ./_targets:/project/_targets
      # Mount logs and models
      - ./logs:/project/logs
      - ./models:/project/models
    command: ["R", "-q", "-e", "targets::tar_make()"]

  test:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: spatial-predictions-test
    command: >
      R -q -e "testthat::test_dir('tests/testthat')"
    profiles:
      - test

  mlflow:
    image: ghcr.io/mlflow/mlflow:v2.22.0
    container_name: spatial-predictions-mlflow
    ports:
      - "5000:5000"
    volumes:
      - ./mlruns:/mlflow/mlruns
    command: >
      mlflow server
        --host 0.0.0.0
        --port 5000
        --backend-store-uri sqlite:///mlflow/mlruns/mlflow.db
        --default-artifact-root /mlflow/mlruns/artifacts
    profiles:
      - ml