#!/bin/bash

echo "药店销售预测系统 - 依赖库安装脚本"
echo "=================================="
echo ""

echo "请选择要安装的版本:"
echo "1. CPU版本（适用于没有NVIDIA GPU的计算机）"
echo "2. GPU版本 - CUDA 12.8（适用于最新的NVIDIA GPU）"
echo "3. GPU版本 - CUDA 11.8（适用于较旧的NVIDIA GPU）"
echo ""

read -p "请输入选项 (1/2/3): " choice

if [ "$choice" = "1" ]; then
    echo "正在安装CPU版本依赖..."
    pip install -r requirements.txt
elif [ "$choice" = "2" ]; then
    echo "正在安装GPU版本(CUDA 12.1)依赖..."
    echo "首先安装基础依赖..."
    pip install -r requirements-gpu.txt --no-deps
    echo "安装除PyTorch以外的其他依赖..."
    pip install numpy==2.3.0 pandas==2.3.0 matplotlib==3.10.3 scikit-learn==1.7.0 tqdm==4.67.1 openpyxl==3.1.5
    echo "从PyTorch官方源安装CUDA 12.1版本的PyTorch..."
    pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
elif [ "$choice" = "3" ]; then
    echo "正在安装GPU版本(CUDA 11.8)依赖..."
    echo "首先安装基础依赖..."
    pip install -r requirements-gpu-cu118.txt --no-deps
    echo "安装除PyTorch以外的其他依赖..."
    pip install numpy==2.3.0 pandas==2.3.0 matplotlib==3.10.3 scikit-learn==1.7.0 tqdm==4.67.1 openpyxl==3.1.5
    echo "从PyTorch官方源安装CUDA 11.8版本的PyTorch..."
    pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
else
    echo "无效的选项！请重新运行脚本并选择正确的选项。"
    exit 1
fi

echo ""
echo "依赖库安装完成！"
echo ""
echo "验证PyTorch GPU支持状态..."
python -c "import torch; print('CUDA是否可用:', torch.cuda.is_available()); print('PyTorch版本:', torch.__version__); print('GPU数量:', torch.cuda.device_count()); print('GPU名称:', torch.cuda.get_device_name(0) if torch.cuda.is_available() else '无GPU')"