# Standalone GPU host for Reflector — transcription, diarization, translation.
#
# Usage: ./scripts/setup-gpu-host.sh [--domain DOMAIN] [--custom-ca PATH] [--api-key KEY] [--cpu]
#   or:  docker compose -f docker-compose.gpu-host.yml --profile gpu [--profile caddy] up -d
#
# Processing mode (pick ONE — mutually exclusive, both bind port 8000):
#   --profile gpu      NVIDIA GPU container (requires nvidia-container-toolkit)
#   --profile cpu      CPU-only container (no GPU required, slower)
#
# Optional:
#   --profile caddy    Caddy reverse proxy with HTTPS
#
# This file is checked into the repo. The setup script generates:
#   - .env.gpu-host            (HF_TOKEN, API key, port config)
#   - Caddyfile.gpu-host       (Caddy config, only with --domain)
#   - docker-compose.gpu-ca.yml (CA cert mounts, only with --custom-ca)

services:
  # ===========================================================
  # GPU service — NVIDIA GPU accelerated
  # Activated with: --profile gpu
  # ===========================================================

  gpu:
    build:
      context: ./gpu/self_hosted
      dockerfile: Dockerfile
    profiles: [gpu]
    restart: unless-stopped
    ports:
      - "${GPU_HOST_PORT:-8000}:8000"
    environment:
      HF_TOKEN: ${HF_TOKEN:-}
      REFLECTOR_GPU_APIKEY: ${REFLECTOR_GPU_APIKEY:-}
    volumes:
      - gpu_cache:/root/.cache
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/docs"]
      interval: 15s
      timeout: 5s
      retries: 10
      start_period: 120s
    networks:
      default:
        aliases:
          - transcription

  # ===========================================================
  # CPU service — no GPU required, uses Dockerfile.cpu
  # Activated with: --profile cpu
  # Mutually exclusive with gpu (both bind port 8000)
  # ===========================================================

  cpu:
    build:
      context: ./gpu/self_hosted
      dockerfile: Dockerfile.cpu
    profiles: [cpu]
    restart: unless-stopped
    ports:
      - "${GPU_HOST_PORT:-8000}:8000"
    environment:
      HF_TOKEN: ${HF_TOKEN:-}
      REFLECTOR_GPU_APIKEY: ${REFLECTOR_GPU_APIKEY:-}
    volumes:
      - gpu_cache:/root/.cache
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/docs"]
      interval: 15s
      timeout: 5s
      retries: 10
      start_period: 120s
    networks:
      default:
        aliases:
          - transcription

  # ===========================================================
  # Caddy — reverse proxy with HTTPS (optional)
  # Activated with: --profile caddy
  # Proxies to "transcription" network alias (works for both gpu and cpu)
  # ===========================================================

  caddy:
    image: caddy:2-alpine
    profiles: [caddy]
    restart: unless-stopped
    ports:
      - "80:80"
      - "${CADDY_HTTPS_PORT:-443}:443"
    volumes:
      - ./Caddyfile.gpu-host:/etc/caddy/Caddyfile:ro
      - caddy_data:/data
      - caddy_config:/config

volumes:
  gpu_cache:
  caddy_data:
  caddy_config: