docker.io/wechatopenai/weknora-app:main linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main  docker.io/wechatopenai/weknora-app:main

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main  docker.io/wechatopenai/weknora-app:main

Shell快速替换命令

sed -i 's#wechatopenai/weknora-app:main#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main  docker.io/wechatopenai/weknora-app:main'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main  docker.io/wechatopenai/weknora-app:main'

镜像构建历史

# 2025-12-16 12:27:21  0.00B 设置默认要执行的命令
CMD ["./WeKnora"]
                        
# 2025-12-16 12:27:21  0.00B 指定运行容器时使用的用户
USER appuser
                        
# 2025-12-16 12:27:21  0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
                        
# 2025-12-16 12:27:21  0.00B 执行命令并创建新的镜像层
RUN |1 APK_MIRROR_ARG=mirrors.tencent.com /bin/sh -c chmod +x ./scripts/*.sh # buildkit
                        
# 2025-12-16 12:27:21  90.33MB 复制新文件或目录到容器中
COPY /app/WeKnora . # buildkit
                        
# 2025-12-15 20:36:10  11.18KB 复制新文件或目录到容器中
COPY /app/dataset/samples ./dataset/samples # buildkit
                        
# 2025-12-15 20:36:10  55.36KB 复制新文件或目录到容器中
COPY /app/migrations ./migrations # buildkit
                        
# 2025-12-15 20:36:10  55.08KB 复制新文件或目录到容器中
COPY /app/scripts ./scripts # buildkit
                        
# 2025-12-15 20:36:10  27.03KB 复制新文件或目录到容器中
COPY /app/config ./config # buildkit
                        
# 2025-12-15 20:36:10  20.84MB 复制新文件或目录到容器中
COPY /app/yanyiwu/ /go/pkg/mod/github.com/yanyiwu/ # buildkit
                        
# 2025-12-15 20:36:10  8.40MB 复制新文件或目录到容器中
COPY /go/bin/migrate /usr/local/bin/ # buildkit
                        
# 2025-12-15 20:36:10  0.00B 执行命令并创建新的镜像层
RUN |1 APK_MIRROR_ARG=mirrors.tencent.com /bin/sh -c mkdir -p /data/files &&     chown -R appuser:appuser /app /data/files # buildkit
                        
# 2025-12-15 20:36:10  623.58MB 执行命令并创建新的镜像层
RUN |1 APK_MIRROR_ARG=mirrors.tencent.com /bin/sh -c if [ -n "$APK_MIRROR_ARG" ]; then         sed -i "s@dl-cdn.alpinelinux.org@${APK_MIRROR_ARG}@g" /etc/apk/repositories;     fi &&     apk update && apk upgrade &&     apk add --no-cache build-base postgresql-client mysql-client ca-certificates tzdata sed curl bash vim wget         python3 py3-pip python3-dev libffi-dev openssl-dev &&     python3 -m pip install --break-system-packages --upgrade pip setuptools wheel &&     apk add --no-cache nodejs-current npm &&     mkdir -p /home/appuser/.local/bin &&     curl -LsSf https://astral.sh/uv/install.sh | CARGO_HOME=/home/appuser/.cargo UV_INSTALL_DIR=/home/appuser/.local/bin sh &&     chown -R appuser:appuser /home/appuser &&     ln -sf /home/appuser/.local/bin/uvx /usr/local/bin/uvx &&     chmod +x /usr/local/bin/uvx # buildkit
                        
# 2025-12-15 20:33:44  3.03KB 执行命令并创建新的镜像层
RUN |1 APK_MIRROR_ARG=mirrors.tencent.com /bin/sh -c id -u appuser >/dev/null 2>&1 || adduser -D -g '' appuser # buildkit
                        
# 2025-12-15 20:33:44  0.00B 定义构建参数
ARG APK_MIRROR_ARG=mirrors.tencent.com
                        
# 2025-12-12 20:32:13  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-12-04 03:30:18  0.00B 设置默认要执行的命令
CMD ["/bin/sh"]
                        
# 2025-12-04 03:30:18  8.44MB 复制文件或目录到容器中
ADD alpine-minirootfs-3.23.0-x86_64.tar.gz / # buildkit
                        
                    

镜像信息

{
    "Id": "sha256:7eb4fa76728db8b54095ef628aaef504f2ca8651ba58871023fe263e6cb6ccbe",
    "RepoTags": [
        "wechatopenai/weknora-app:main",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-app:main"
    ],
    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-16T04:27:21.537879966Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "appuser",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8080/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
        ],
        "Cmd": [
            "./WeKnora"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-12-16T04:24:46.355Z",
            "org.opencontainers.image.description": "LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.",
            "org.opencontainers.image.licenses": "NOASSERTION",
            "org.opencontainers.image.revision": "495a306d0dc18083dbb00d38eac23751086bc759",
            "org.opencontainers.image.source": "https://github.com/Tencent/WeKnora",
            "org.opencontainers.image.title": "WeKnora",
            "org.opencontainers.image.url": "https://github.com/Tencent/WeKnora",
            "org.opencontainers.image.version": "main"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 751742863,
    "GraphDriver": {
        "Data": {
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