From f501320d9574ac275f84fbc489b128e86620bf59 Mon Sep 17 00:00:00 2001 From: Nuget Ninja Date: Wed, 25 Feb 2026 11:02:10 +0000 Subject: [PATCH] Auto csproj fix and update by bot. --- .gitlab-ci.yml | 25 ++++++------------------- 1 file changed, 6 insertions(+), 19 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index c4cbf12..55a59e1 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -125,37 +125,24 @@ deploy_docker_all: - if [ "$CI_COMMIT_REF_NAME" = "master" ]; then TAG="latest"; else TAG="$CI_COMMIT_REF_NAME"; fi - if [ "$CI_PROJECT_NAMESPACE" = "anduin" ]; then HUB_NAMESPACE="anduin2019"; else HUB_NAMESPACE="$CI_PROJECT_NAMESPACE"; fi - # 准备目标镜像名称 - LOCAL_TARGET_COM="hub.aiursoft.com/$CI_PROJECT_NAMESPACE/$CI_PROJECT_NAME:$TAG" - LOCAL_TARGET_CN="hub.aiursoft.cn/$CI_PROJECT_NAMESPACE/$CI_PROJECT_NAME:$TAG" - PUBLIC_TARGET="$HUB_NAMESPACE/$CI_PROJECT_NAME:$TAG" - # 1. 集中进行所有的登录操作 + # 1. 登录所有环境 - echo "$LOCAL_DOCKER_PASSWORD" | docker login hub.aiursoft.com -u "$LOCAL_DOCKER_USERNAME" --password-stdin - echo "$CN_DOCKER_PASSWORD" | docker login hub.aiursoft.cn -u "$CN_DOCKER_USERNAME" --password-stdin - echo "$DOCKER_PASSWORD" | docker login -u "$DOCKER_USERNAME" --password-stdin - # 2. 全程使用我们强大的全局多架构 Builder + # 2. 全程绑定极其现代且聪明的全局 Builder,它没有 Zot Bug! - docker buildx use aiur-global-builder - # ========================================== - # 步骤 1: 编译单架构 -> 导出 tar -> regctl 推送私服 (绕过 Zot 鉴权 Bug) - # ========================================== - - echo "Building single-arch (amd64) and exporting to tarball..." - # 使用 aiur-global-builder,它原生支持直接导出 tar - - docker buildx build . --platform linux/amd64 -t $LOCAL_TARGET_COM -o type=docker,dest=image.tar - - - echo "Pushing to internal Zot registries using regctl..." - # 用 regctl 读取刚才导出的 tar 并推送到两个内网节点 - - regctl image import $LOCAL_TARGET_COM image.tar - - regctl image import $LOCAL_TARGET_CN image.tar - - rm -f image.tar + # 3. 单架构编译并直接推送到内网 Zot (BuildKit 负责安全推送) + - echo "Building and pushing single-arch (amd64) to internal hubs..." + - docker buildx build . --platform linux/amd64 -t $LOCAL_TARGET_COM -t $LOCAL_TARGET_CN --push - # ========================================== - # 步骤 2: 编译多架构 -> 原生推送到 Docker Hub - # ========================================== + # 4. 双架构编译并推送到公网 Docker Hub (完美复用刚才 AMD64 的层缓存) - echo "Building and pushing multi-arch to Docker Hub..." - # 此时环境里已经有了 amd64 的超强缓存,这一步它只会去编译 ARM64 然后合并推送 - docker buildx build . --platform linux/amd64,linux/arm64 -t $PUBLIC_TARGET --push rules: