docker-compose.yml

# Docker Compose for local development — PostgreSQL only.
# Cloud deployments (HF Spaces) use Supabase instead.
#
# Usage:
#   docker compose up -d postgres
#   # Then set DATABASE_URL=postgresql://novel_reader:changeme@localhost:5432/novel_reader in .env

services:
  postgres:
    image: postgres:17-alpine
    environment:
      POSTGRES_DB: ${POSTGRES_DB:-novel_reader}
      POSTGRES_USER: ${POSTGRES_USER:-novel_reader}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-changeme}
    ports:
      - "${POSTGRES_PORT:-5432}:5432"
    volumes:
      - pgdata:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-novel_reader}"]
      interval: 5s
      timeout: 5s
      retries: 5
    restart: unless-stopped

  # Qdrant vector database for the temporal-aware RAG layer.
  # The main app reaches it at http://localhost:6333 (or http://qdrant:6333
  # from inside the compose network). For a managed cluster instead, leave this
  # service stopped and set QDRANT_URL / QDRANT_API_KEY in .env.
  qdrant:
    image: qdrant/qdrant:latest
    ports:
      - "${QDRANT_PORT:-6333}:6333"
      - "${QDRANT_GRPC_PORT:-6334}:6334"
    volumes:
      - qdrant_data:/qdrant/storage
    restart: unless-stopped

  # Chatterbox-Turbo TTS microservice (GPU).
  # Requires the NVIDIA Container Toolkit on the host.
  # Build context is the repo root so the image can install the local
  # chatterbox package; the main app reaches it at http://localhost:8070
  # (or http://tts:8070 from inside the compose network).
  tts:
    build:
      context: .
      dockerfile: tts_service/Dockerfile
    ports:
      - "${TTS_PORT:-8070}:8070"
    environment:
      TTS_DEVICE: ${TTS_DEVICE:-cuda}
      VOICE_SAMPLES_DIR: /voice_samples
      TTS_CACHE_DIR: /data/tts_cache
      HF_HOME: /data/hf
    volumes:
      - ./voice_samples:/voice_samples:ro
      - ./data/tts_cache:/data/tts_cache
      - ./data/hf:/data/hf
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    restart: unless-stopped

volumes:
  pgdata:
  qdrant_data: