# Sage RAG Recommendation System - Docker Compose
#
# Usage:
#   1. Copy .env.example to .env and fill in your API keys
#   2. Run: docker-compose up
#   3. Hit: http://localhost:8000/health
#
# This brings up:
#   - Sage API (FastAPI) on port 8000
#   - Qdrant (vector DB) on port 6333
#
# For Qdrant Cloud instead of local Qdrant:
#   Set QDRANT_URL and QDRANT_API_KEY in .env
#   Local Qdrant still starts but is unused; API connects to cloud

services:
  # ==========================================================================
  # Sage API - FastAPI recommendation service
  # ==========================================================================
  sage:
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "${PORT:-8000}:${PORT:-8000}"
    env_file:
      - .env
    environment:
      - PORT=${PORT:-8000}
      # Use local Qdrant if QDRANT_URL not set in .env
      - QDRANT_URL=${QDRANT_URL:-http://qdrant:6333}
    depends_on:
      qdrant:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-sf", "http://localhost:${PORT:-8000}/health"]
      interval: 30s
      timeout: 5s
      start_period: 90s  # Models take ~60s to load
      retries: 3
    restart: unless-stopped

  # ==========================================================================
  # Qdrant - Vector database for embeddings
  # ==========================================================================
  qdrant:
    image: qdrant/qdrant:v1.7.4
    ports:
      - "6333:6333"
      - "6334:6334"  # gRPC
    volumes:
      # Persist vectors across container restarts
      - qdrant_data:/qdrant/storage
    environment:
      - QDRANT__SERVICE__GRPC_PORT=6334
    healthcheck:
      test: ["CMD", "curl", "-sf", "http://localhost:6333/readyz"]
      interval: 10s
      timeout: 5s
      start_period: 10s
      retries: 3
    restart: unless-stopped

volumes:
  qdrant_data:
    driver: local