docker-compose.yml

services:
  app:
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "3000:3000"
    env_file: .env
    environment:
      # Override .env values so the app reaches postgres via the Docker network
      - DATABASE_URL=postgresql://ascent:ascent@postgres:5432/ascent
      - DIRECT_URL=postgresql://ascent:ascent@postgres:5432/ascent
      # When running with --profile ollama, route AI calls to the ollama service
      - OLLAMA_BASE_URL=http://ollama:11434
    depends_on:
      postgres:
        condition: service_healthy

  postgres:
    image: postgres:16-alpine
    environment:
      POSTGRES_USER: ascent
      POSTGRES_PASSWORD: ascent
      POSTGRES_DB: ascent
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ascent"]
      interval: 5s
      timeout: 5s
      retries: 5

  # Ollama — local LLM inference. Start with: docker compose --profile ollama up
  # After starting, pull a model: docker compose exec ollama ollama pull llama3.2
  # Then set AI_PROVIDER=ollama in .env (no API key required)
  ollama:
    profiles: ["ollama"]
    image: ollama/ollama:latest
    ports:
      - "11434:11434"
    volumes:
      - ollama_data:/root/.ollama
    # Uncomment to enable GPU acceleration (requires NVIDIA Container Toolkit):
    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: all
    #           capabilities: [gpu]

volumes:
  postgres_data:
  ollama_data: