#!/bin/bash
# K8S 智能诊断平台 - 环境安装脚本
set -e
cd "$(dirname "$0")"

echo "========================================="
echo "  K8S 智能诊断平台 - 环境安装"
echo "========================================="
echo ""

# 1. 检查 Node.js
echo "[1/5] 检查 Node.js ..."
if ! command -v node &>/dev/null; then
    echo "  → 未找到 Node.js，正在安装 20.x ..."
    curl -fsSL https://deb.nodesource.com/setup_20.x | bash -
    apt-get install -y nodejs
fi
echo "  ✅ Node.js $(node -v), npm $(npm -v)"
echo ""

# 2. 安装前端依赖
echo "[2/5] 安装前端依赖 (npm install) ..."
echo "  → 如果速度慢，可 Ctrl+C 后手动执行:"
echo "    cd frontend && npm install --include=dev --registry=https://registry.npmmirror.com"
echo ""
cd frontend
npm install --include=dev
cd ..
echo "  ✅ 前端依赖安装完成"
echo ""

# 3. 安装 Python 依赖
echo "[3/5] 安装 Python 依赖 (pip3 install) ..."
if command -v pip3 &>/dev/null; then
    pip3 install fastapi uvicorn kubernetes httpx python-dotenv
elif command -v pip &>/dev/null; then
    pip install fastapi uvicorn kubernetes httpx python-dotenv
else
    echo "  → pip 未找到，正在安装 python3-pip ..."
    apt-get install -y python3-pip
    pip3 install fastapi uvicorn kubernetes httpx python-dotenv
fi
echo "  ✅ Python 依赖安装完成"
echo ""

# 4. 构建前端
echo "[4/5] 构建前端 (vite build) ..."
cd frontend && npm run build && cd ..
echo "  ✅ 前端构建完成 → frontend/dist/"
echo ""

# 5. 创建 .env
echo "[5/5] 检查配置文件 ..."
if [ ! -f .env ]; then
    cat > .env << 'EOF'
# AI 分析接口 (OpenAI 兼容格式)
AI_API_BASE=http://localhost:8648/v1
AI_API_KEY=hermes
AI_MODEL=qwen3.8-max-preview

# 服务端口
PORT=8900

# Kubeconfig 路径 (留空使用默认 ~/.kube/config)
KUBECONFIG_PATH=
EOF
    echo "  ✅ 已创建 .env (请按需修改 AI_API_BASE 和 AI_API_KEY)"
else
    echo "  ✅ .env 已存在，跳过"
fi

echo ""
echo "========================================="
echo "  ✅ 安装完成！"
echo "  启动服务: ./start.sh"
echo "  访问地址: http://localhost:8900"
echo "========================================="