#!/usr/bin/env bash
# 在带 NVIDIA 显卡的 Linux 机器上安装 OCR Worker
set -euo pipefail

ROOT="$(cd "$(dirname "$0")" && pwd)"
VENV="${ROOT}/.venv"
PORT="${OCR_PORT:-23567}"

echo "==> OCR Worker 安装目录: ${ROOT}"

if ! command -v python3 >/dev/null; then
  echo "错误: 请先安装 python3"
  exit 1
fi

if [[ -d "${VENV}" ]]; then
  echo "==> 已有虚拟环境，跳过 python3 -m venv"
else
  python3 -m venv "${VENV}"
fi

# shellcheck disable=SC1091
source "${VENV}/bin/activate"
pip install -U pip wheel

install_paddle() {
  if command -v nvidia-smi >/dev/null 2>&1; then
    local cuda_major
    cuda_major="$(nvidia-smi 2>/dev/null | sed -n 's/.*CUDA Version: \([0-9]*\)\.[0-9]*/\1/p' | head -1)"
    cuda_major="${cuda_major:-11}"
    echo "==> 检测到 NVIDIA GPU，CUDA 主版本: ${cuda_major}"
    if [[ "${cuda_major}" -ge 12 ]]; then
      echo "==> 安装 paddlepaddle-gpu (CUDA 12.x)…"
      pip install paddlepaddle-gpu==2.6.2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/ \
        || pip install paddlepaddle-gpu==2.6.2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
    else
      echo "==> 安装 paddlepaddle-gpu (CUDA 11.x)…"
      pip install paddlepaddle-gpu==2.6.2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
    fi
  else
    echo "==> 未检测到 GPU，安装 CPU 版 paddlepaddle…"
    pip install paddlepaddle==2.6.2
  fi
}

install_paddle
pip install -r "${ROOT}/requirements.txt"

echo ""
echo "==> 验证依赖…"
python3 -c "import fastapi, uvicorn, paddle; print('paddle', paddle.__version__, 'OK')"

cat <<EOF

安装完成。

【重要】你已经在目录 ${ROOT} 时，不要再 cd deploy/ocr-worker，直接：

  cd ${ROOT}
  OCR_USE_GPU=true bash start.sh

另开终端测试（服务启动后）:
  curl -s http://127.0.0.1:${PORT}/health

应返回: {"status":"ok","gpu":true}

注册为 systemd 服务（推荐，后台常驻）:
  sudo bash ${ROOT}/install-service.sh

诊断:
  bash ${ROOT}/check.sh

EOF