47 lines
1.7 KiB
Bash
47 lines
1.7 KiB
Bash
#!/bin/bash
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# ==========================================
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# To_Docx 环境安装脚本 (setup_env.sh)
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# 用于自动化创建 Conda 环境并安装依赖
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# ==========================================
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CONDA_ENV="to_docx"
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ROOT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
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echo "------------------------------------------"
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echo "🛠️ 开始配置 To_Docx 运行环境..."
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echo "------------------------------------------"
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# 1. 检查 Conda 是否安装
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if ! command -v conda &> /dev/null; then
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echo "❌ 错误: 未检测到 conda，请先安装 Miniconda 或 Anaconda。"
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exit 1
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fi
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# 2. 创建 Conda 环境 (如果不存在)
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if conda info --envs | grep -q "$CONDA_ENV"; then
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echo "ℹ️ 环境 '$CONDA_ENV' 已存在，跳过创建步骤。"
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else
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echo "📦 正在创建 Conda 环境: $CONDA_ENV (Python 3.10)..."
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conda create -n $CONDA_ENV python=3.10 -y
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fi
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# 3. 安装后端 Python 依赖
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echo "🐍 正在安装后端依赖..."
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if [ -f "$ROOT_DIR/server/requirements.txt" ]; then
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conda run -n $CONDA_ENV pip install -r "$ROOT_DIR/server/requirements.txt"
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else
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# 回退方案：手动安装
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conda run -n $CONDA_ENV pip install fastapi uvicorn pypandoc python-docx pydantic "python-jose[cryptography]" "passlib[bcrypt]" bcrypt
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fi
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# 4. 检查系统依赖提示
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echo "------------------------------------------"
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echo "✅ Python 环境配置完成！"
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echo ""
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echo "💡 额外提醒:"
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echo "1. 请确保系统已安装 Pandoc (Debian: sudo apt install pandoc)"
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echo "2. 如果需要运行前端，请确保已安装 Node.js 并在 client 目录执行 npm install"
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echo "3. 现在您可以运行 ./run_dev.sh 启动项目了。"
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echo "------------------------------------------"
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