# GraphLLM Docker Compose Configuration
# Simple standalone deployment with persistent storage

version: '3.8'

services:
  # Main GraphLLM Application
  graphllm:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: graphllm
    image: graphllm:latest
    ports:
      - "8000:8000"
    volumes:
      # Persistent storage for data, uploads, and logs
      - graphllm-data:/app/data
      - graphllm-uploads:/app/uploads
      - graphllm-logs:/app/logs
      - graphllm-cache:/app/cache
    environment:
      # Gemini API Configuration
      - GEMINI_API_KEY=${GEMINI_API_KEY}
      - GEMINI_MODEL=${GEMINI_MODEL:-gemini-1.5-flash}

      # Application Settings
      - ENVIRONMENT=${ENVIRONMENT:-production}
      - LOG_LEVEL=${LOG_LEVEL:-INFO}
      - DEBUG=false

      # LLM Settings
      - LLM_TEMPERATURE=${LLM_TEMPERATURE:-0.7}
      - LLM_MAX_TOKENS=${LLM_MAX_TOKENS:-2048}

      # Embedding Settings
      - EMBEDDING_MODEL=${EMBEDDING_MODEL:-all-MiniLM-L6-v2}
      - EMBEDDING_BATCH_SIZE=${EMBEDDING_BATCH_SIZE:-128}

      # API Settings
      - API_HOST=0.0.0.0
      - API_PORT=8000
      - MAX_FILE_SIZE_MB=${MAX_FILE_SIZE_MB:-50}

    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s
    networks:
      - graphllm-network

volumes:
  # Named volumes for persistent storage
  graphllm-data:
    driver: local
  graphllm-uploads:
    driver: local
  graphllm-logs:
    driver: local
  graphllm-cache:
    driver: local

networks:
  graphllm-network:
    driver: bridge