docker-compose.yml

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_DB: ohio_credit
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: postgres
    # Host port 5433 (a native Postgres already owns localhost:5432 for other
    # projects); container stays on 5432, so in-network service names are
    # unaffected. Host clients use DATABASE_URL=...localhost:5433.
    ports:
      - "5433:5432"
    volumes:
      - pgdata:/var/lib/postgresql/data
      - ./infra/rds_init.sql:/docker-entrypoint-initdb.d/init.sql
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres -d ohio_credit"]
      interval: 5s
      timeout: 5s
      retries: 10

  mlflow:
    image: ghcr.io/mlflow/mlflow:v2.11.1
    # Host port 5001 (macOS Control Center occupies 5000); container stays on 5000.
    ports:
      - "5001:5000"
    # psycopg2-binary installed at startup — the official MLflow image ships
    # without a Postgres driver, required for the postgres backend store.
    # --serve-artifacts proxies artifact upload/download through the server, so
    # host clients never touch the container-local /mlflow path (which is
    # read-only from the Mac). Artifacts land in the mlflow_artifacts volume.
    entrypoint: >
      /bin/bash -c "pip install psycopg2-binary --quiet &&
      mlflow server
      --host 0.0.0.0
      --port 5000
      --backend-store-uri postgresql://postgres:postgres@postgres:5432/ohio_credit
      --serve-artifacts
      --artifacts-destination /mlflow/artifacts
      --default-artifact-root mlflow-artifacts:/"
    volumes:
      - mlflow_artifacts:/mlflow/artifacts
    depends_on:
      postgres:
        condition: service_healthy

  api:
    build:
      context: .
      dockerfile: api/Dockerfile
    ports:
      - "8000:8000"
    env_file: .env
    environment:
      - POSTGRES_HOST=postgres
      - MLFLOW_TRACKING_URI=http://mlflow:5000
    depends_on:
      postgres:
        condition: service_healthy
      mlflow:
        condition: service_started
    volumes:
      - ./ml/encoders:/app/ml/encoders
      - ./data/synthetic:/app/data/synthetic

  frontend:
    build:
      context: .
      dockerfile: frontend/Dockerfile
    ports:
      - "3000:3000"
    depends_on:
      - api

volumes:
  pgdata:
  mlflow_artifacts: