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feat(build): 添加传统 Docker 构建方式和诊断功能
- 在 build-offline.sh 脚本中添加 --pull=false 参数并改进错误处理 - 为 Makefile.offline.mk 中的各个服务构建任务添加 --pull=false 参数 - 新增 build-offline-classic.sh 脚本，提供不使用 BuildKit 的传统构建方式 - 新增 build-offline-v2.sh 脚本，提供增强版 BuildKit 离线构建功能 - 新增 diagnose.sh 脚本，用于诊断离线构建环境状态 - 在 Makefile 中添加 offline-build-classic 和 offline-diagnose
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249
scripts/offline/build-offline-v2.sh
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249
scripts/offline/build-offline-v2.sh
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#!/bin/bash
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# BuildKit 离线构建脚本 v2 - 增强版
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# Usage: ./build-offline-v2.sh [cache-dir] [version]
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set -e
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CACHE_DIR="${1:-./build-cache}"
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VERSION="${2:-latest}"
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BUILDKIT_CACHE_DIR="$CACHE_DIR/buildkit"
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IMAGES_DIR="$CACHE_DIR/images"
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RESOURCES_DIR="$CACHE_DIR/resources"
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# 颜色输出
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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NC='\033[0m' # No Color
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log_info() {
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echo -e "${GREEN}[INFO]${NC} $1"
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}
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log_warn() {
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echo -e "${YELLOW}[WARN]${NC} $1"
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}
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log_error() {
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echo -e "${RED}[ERROR]${NC} $1"
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}
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# 检查缓存目录
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if [ ! -d "$CACHE_DIR" ]; then
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log_error "缓存目录 $CACHE_DIR 不存在"
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log_info "请先解压缓存包: tar -xzf build-cache-*.tar.gz"
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exit 1
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fi
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# 确保 buildx 构建器存在（使用 docker 驱动以支持本地镜像）
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setup_buildx() {
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log_info "设置 BuildKit 构建器..."
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# 删除旧的构建器
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if docker buildx inspect offline-builder > /dev/null 2>&1; then
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docker buildx rm offline-builder 2>/dev/null || true
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fi
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# 创建新的构建器，使用 docker 驱动（支持本地镜像，不需要推送到 registry）
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docker buildx create --name offline-builder \
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--driver docker-container \
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--driver-opt image=moby/buildkit:buildx-stable-1 \
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--use
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log_info "BuildKit 构建器创建完成"
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}
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# 加载基础镜像
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load_base_images() {
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log_info "加载基础镜像..."
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if [ ! -f "$IMAGES_DIR/base-images.tar" ]; then
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log_warn "基础镜像文件不存在: $IMAGES_DIR/base-images.tar"
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log_info "检查本地是否存在所需镜像..."
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# 检查关键镜像是否存在
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required_images=(
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"maven:3-eclipse-temurin-21"
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"eclipse-temurin:21-jdk"
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"mysql:8"
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"node:20-alpine"
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"nginx:1.29"
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)
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for img in "${required_images[@]}"; do
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if ! docker inspect "$img" > /dev/null 2>&1; then
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log_error "缺少基础镜像: $img"
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log_info "请确保基础镜像已加载: docker load -i base-images.tar"
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exit 1
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fi
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done
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log_info "本地基础镜像检查通过"
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return
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fi
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log_info "从 $IMAGES_DIR/base-images.tar 加载基础镜像..."
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docker load -i "$IMAGES_DIR/base-images.tar"
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log_info "基础镜像加载完成"
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}
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# 验证镜像是否存在
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verify_image() {
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local image_name=$1
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if docker inspect "$image_name" > /dev/null 2>&1; then
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return 0
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else
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return 1
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fi
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}
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# 离线构建函数
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offline_build() {
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local service_name=$1
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local image_name=$2
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local dockerfile=$3
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local cache_file="$BUILDKIT_CACHE_DIR/${service_name}-cache"
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log_info "----------------------------------------"
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log_info "构建 [$service_name] -> $image_name:$VERSION"
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log_info "----------------------------------------"
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if [ ! -d "$cache_file" ]; then
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log_warn "$service_name 的缓存不存在，跳过..."
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return 0
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fi
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# 获取 Dockerfile 中的基础镜像
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local base_images
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base_images=$(grep -E '^FROM' "$dockerfile" | awk '{print $2}' | sort -u)
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log_info "检查基础镜像..."
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for base_img in $base_images; do
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# 跳过多阶段构建中的 AS 别名
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base_img=$(echo "$base_img" | cut -d':' -f1-2 | sed 's/AS.*//i' | tr -d ' ')
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if [ -z "$base_img" ] || [[ "$base_img" == *"AS"* ]]; then
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continue
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fi
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if verify_image "$base_img"; then
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log_info " ✓ $base_img"
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else
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log_warn " ✗ $base_img (未找到)"
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# 尝试从 base-images.tar 中加载
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if [ -f "$IMAGES_DIR/base-images.tar" ]; then
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log_info " 尝试从 tar 包加载..."
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docker load -i "$IMAGES_DIR/base-images.tar" 2>/dev/null || true
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fi
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fi
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done
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# 执行离线构建
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log_info "开始构建..."
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# 构建参数
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local build_args=()
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# 为需要外部资源的服务添加 build-arg
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case "$service_name" in
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runtime|deer-flow-backend|deer-flow-frontend)
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if [ -d "$RESOURCES_DIR" ]; then
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build_args+=("--build-arg" "RESOURCES_DIR=$RESOURCES_DIR")
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fi
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;;
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backend-python)
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if [ -d "$RESOURCES_DIR" ]; then
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build_args+=("--build-arg" "RESOURCES_DIR=$RESOURCES_DIR")
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build_args+=("--build-arg" "DATAX_LOCAL_PATH=$RESOURCES_DIR/DataX")
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fi
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;;
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esac
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# 执行构建
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if docker buildx build \
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--builder offline-builder \
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--cache-from "type=local,src=$cache_file" \
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--pull=false \
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--output "type=docker" \
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"${build_args[@]}" \
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-f "$dockerfile" \
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-t "$image_name:$VERSION" \
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. 2>&1; then
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log_info "✓ $service_name 构建成功"
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return 0
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else
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log_error "✗ $service_name 构建失败"
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return 1
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fi
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}
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# 主流程
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main() {
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log_info "======================================"
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log_info "BuildKit 离线构建"
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log_info "======================================"
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log_info "缓存目录: $CACHE_DIR"
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log_info "版本: $VERSION"
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# 步骤 1: 设置构建器
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setup_buildx
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# 步骤 2: 加载基础镜像
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load_base_images
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# 步骤 3: 定义服务列表
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declare -A SERVICES=(
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["database"]="datamate-database:scripts/images/database/Dockerfile"
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["gateway"]="datamate-gateway:scripts/images/gateway/Dockerfile"
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["backend"]="datamate-backend:scripts/images/backend/Dockerfile"
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["frontend"]="datamate-frontend:scripts/images/frontend/Dockerfile"
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["runtime"]="datamate-runtime:scripts/images/runtime/Dockerfile"
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["backend-python"]="datamate-backend-python:scripts/images/backend-python/Dockerfile"
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["deer-flow-backend"]="deer-flow-backend:scripts/images/deer-flow-backend/Dockerfile"
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["deer-flow-frontend"]="deer-flow-frontend:scripts/images/deer-flow-frontend/Dockerfile"
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["mineru"]="datamate-mineru:scripts/images/mineru/Dockerfile"
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)
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# 步骤 4: 批量构建
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log_info ""
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log_info "======================================"
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log_info "开始批量构建"
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log_info "======================================"
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local failed=()
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local succeeded=()
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for service_name in "${!SERVICES[@]}"; do
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IFS=':' read -r image_name dockerfile <<< "${SERVICES[$service_name]}"
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if offline_build "$service_name" "$image_name" "$dockerfile"; then
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succeeded+=("$service_name")
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else
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failed+=("$service_name")
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fi
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echo ""
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done
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# 步骤 5: 汇总结果
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log_info "======================================"
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log_info "构建完成"
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log_info "======================================"
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if [ ${#succeeded[@]} -gt 0 ]; then
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log_info "成功 (${#succeeded[@]}): ${succeeded[*]}"
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fi
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if [ ${#failed[@]} -gt 0 ]; then
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log_error "失败 (${#failed[@]}): ${failed[*]}"
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exit 1
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else
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log_info "✓ 所有服务构建成功！"
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echo ""
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log_info "镜像列表:"
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docker images --format "table {{.Repository}}:{{.Tag}}\t{{.Size}}" | grep -E "(datamate-|deer-flow-)" || true
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fi
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}
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# 执行主流程
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main "$@"
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