0a48c633cd
Implement comprehensive configuration management system with: **Core Components:** - config/config.schema.yaml: Configuration metadata (single source of truth) - scripts/lib/generate_from_schema.py: Schema → local.yaml generator - scripts/lib/generate_env.py: local.yaml → .env converter - scripts/setup.sh: One-click configuration initialization **Key Features:** - Deep merge logic preserves existing values - Auto-generation of secrets (32-char random strings) - Type inference for configuration values - Nested YAML → flat environment variables - Git-safe: local.yaml and .env excluded from version control **Configuration Coverage:** - Trilingual entity extractor (Chinese/English/Swedish) - LightRAG API, database, vector DB settings - LLM provider configuration - Entity/relation extraction settings - Security and performance tuning **Documentation:** - docs/ConfigurationGuide-zh.md: Complete usage guide with examples **Usage:** ```bash ./scripts/setup.sh # Generate config/local.yaml and .env ``` This enables centralized configuration management with automatic secret generation and safe handling of sensitive data.
87 lines
2.5 KiB
Bash
Executable file
87 lines
2.5 KiB
Bash
Executable file
#!/bin/bash
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# LightRAG 配置初始化脚本
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# 从 config.schema.yaml 自动生成 config/local.yaml 和 .env
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set -e # 遇到错误立即退出
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# 获取脚本所在目录
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PROJECT_ROOT="$(cd "${SCRIPT_DIR}/.." && pwd)"
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echo "======================================================================"
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echo " LightRAG 配置初始化"
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echo "======================================================================"
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echo ""
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# 检查 Python 版本
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echo "🔍 检查 Python 环境..."
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if ! command -v python3 &> /dev/null; then
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echo "❌ 错误: 未找到 python3"
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echo " 请先安装 Python 3.7 或更高版本"
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exit 1
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fi
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python_version=$(python3 --version 2>&1 | awk '{print $2}')
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echo " Python 版本: $python_version"
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# 检查必要的 Python 包
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echo ""
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echo "🔍 检查 Python 依赖..."
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if ! python3 -c "import yaml" 2>/dev/null; then
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echo " ⚠️ 未找到 PyYAML，正在安装..."
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pip install pyyaml
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else
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echo " ✓ PyYAML 已安装"
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fi
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# 检查 Schema 文件
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echo ""
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echo "🔍 检查配置 Schema..."
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SCHEMA_FILE="${PROJECT_ROOT}/config/config.schema.yaml"
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if [ ! -f "$SCHEMA_FILE" ]; then
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echo "❌ 错误: 未找到 $SCHEMA_FILE"
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exit 1
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fi
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echo " ✓ Schema 文件存在: config/config.schema.yaml"
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# 生成 config/local.yaml
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echo ""
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echo "📝 生成本地配置..."
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python3 "${SCRIPT_DIR}/lib/generate_from_schema.py"
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# 检查生成是否成功
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if [ ! -f "${PROJECT_ROOT}/config/local.yaml" ]; then
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echo "❌ 错误: config/local.yaml 生成失败"
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exit 1
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fi
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# 生成 .env
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echo ""
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echo "📝 生成环境变量..."
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python3 "${SCRIPT_DIR}/lib/generate_env.py"
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# 检查生成是否成功
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if [ ! -f "${PROJECT_ROOT}/.env" ]; then
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echo "❌ 错误: .env 生成失败"
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exit 1
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fi
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echo ""
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echo "======================================================================"
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echo " ✅ 配置初始化完成"
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echo "======================================================================"
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echo ""
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echo "生成的文件:"
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echo " - config/local.yaml (本地配置文件)"
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echo " - .env (环境变量文件)"
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echo ""
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echo "下一步:"
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echo " 1. 编辑 config/local.yaml 修改配置（可选）"
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echo " 2. 重新运行 ./scripts/setup.sh 更新 .env（如果修改了配置）"
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echo " 3. 启动 LightRAG 服务"
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echo ""
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echo "提示:"
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echo " - 这两个文件已添加到 .gitignore，不会提交到 Git"
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echo " - 密钥已自动生成，请妥善保管"
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echo " - 修改配置后重新运行此脚本即可更新"
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echo ""
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