ghcr.io/conardli/easy-dataset:1.7.0 linux/amd64

ghcr.io/conardli/easy-dataset:1.7.0 - 国内下载镜像源 浏览次数:12

这是一个名为 ghcr.io/conardli/easy-dataset 的 Docker 镜像。 该镜像的具体描述信息需要查看镜像的文档或标签说明才能获得。 我没有访问外部资源的能力,因此无法提供该镜像的详细描述。

源镜像 ghcr.io/conardli/easy-dataset:1.7.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0
镜像ID sha256:9df8e2ee03c0aefcfb63e400d59fc5f86f59f14cba96e76d585edadb4415dc1a
镜像TAG 1.7.0
大小 2.90GB
镜像源 ghcr.io
CMD pnpm start
启动入口 /usr/local/bin/docker-entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 12 次
贡献者 ya**********0@163.com
镜像创建 2026-01-13T02:45:03.443334383Z
同步时间 2026-01-15 15:56
更新时间 2026-01-15 22:06
开放端口
1717/tcp
环境变量
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NODE_VERSION=20.19.6 YARN_VERSION=1.22.22 NODE_ENV=production
镜像标签
2026-01-13T02:38:48.055Z: org.opencontainers.image.created A powerful tool for creating fine-tuning datasets for LLM: org.opencontainers.image.description NOASSERTION: org.opencontainers.image.licenses 2d008706f6fcef18f453dd6c84b33f0c59e94d70: org.opencontainers.image.revision https://github.com/ConardLi/easy-dataset: org.opencontainers.image.source easy-dataset: org.opencontainers.image.title https://github.com/ConardLi/easy-dataset: org.opencontainers.image.url 1.7.0: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0  ghcr.io/conardli/easy-dataset:1.7.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0  ghcr.io/conardli/easy-dataset:1.7.0

Shell快速替换命令

sed -i 's#ghcr.io/conardli/easy-dataset:1.7.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0  ghcr.io/conardli/easy-dataset:1.7.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0  ghcr.io/conardli/easy-dataset:1.7.0'

镜像构建历史


# 2026-01-13 10:45:03  0.00B 设置默认要执行的命令
CMD ["pnpm" "start"]
                        
# 2026-01-13 10:45:03  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/bin/docker-entrypoint.sh"]
                        
# 2026-01-13 10:45:03  0.00B 声明容器运行时监听的端口
EXPOSE [1717/tcp]
                        
# 2026-01-13 10:45:03  0.00B 设置环境变量 NODE_ENV
ENV NODE_ENV=production
                        
# 2026-01-13 10:45:03  2.42KB 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /usr/local/bin/docker-entrypoint.sh # buildkit
                        
# 2026-01-13 10:45:03  2.42KB 复制新文件或目录到容器中
COPY docker-entrypoint.sh /usr/local/bin/ # buildkit
                        
# 2026-01-13 10:45:03  345.35KB 复制新文件或目录到容器中
COPY /app/prisma /app/prisma-template # buildkit
                        
# 2026-01-13 10:45:03  36.20KB 复制新文件或目录到容器中
COPY /app/electron ./electron # buildkit
                        
# 2026-01-13 10:45:03  15.44MB 复制新文件或目录到容器中
COPY /app/public ./public # buildkit
                        
# 2026-01-13 10:45:03  1.63GB 复制新文件或目录到容器中
COPY /app/.next ./.next # buildkit
                        
# 2026-01-13 10:44:57  1.06GB 复制新文件或目录到容器中
COPY /app/node_modules ./node_modules # buildkit
                        
# 2026-01-13 10:38:55  5.52KB 复制新文件或目录到容器中
COPY package.json .env ./ # buildkit
                        
# 2026-01-13 10:38:55  33.74MB 执行命令并创建新的镜像层
RUN /bin/sh -c apk add --no-cache     cairo     pango     jpeg     giflib     librsvg     pixman # buildkit
                        
# 2026-01-13 10:38:53  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-01-13 10:38:53  26.94MB 执行命令并创建新的镜像层
RUN /bin/sh -c npm install -g pnpm@9 # buildkit
                        
# 2025-12-18 08:39:45  0.00B 设置默认要执行的命令
CMD ["node"]
                        
# 2025-12-18 08:39:45  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["docker-entrypoint.sh"]
                        
# 2025-12-18 08:39:45  388.00B 复制新文件或目录到容器中
COPY docker-entrypoint.sh /usr/local/bin/ # buildkit
                        
# 2025-12-18 08:39:45  5.36MB 执行命令并创建新的镜像层
RUN /bin/sh -c apk add --no-cache --virtual .build-deps-yarn curl gnupg tar   && export GNUPGHOME="$(mktemp -d)"   && for key in     6A010C5166006599AA17F08146C2130DFD2497F5   ; do     { gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$key" && gpg --batch --fingerprint "$key"; } ||     { gpg --batch --keyserver keyserver.ubuntu.com --recv-keys "$key" && gpg --batch --fingerprint "$key"; } ;   done   && curl -fsSLO --compressed "https://yarnpkg.com/downloads/$YARN_VERSION/yarn-v$YARN_VERSION.tar.gz"   && curl -fsSLO --compressed "https://yarnpkg.com/downloads/$YARN_VERSION/yarn-v$YARN_VERSION.tar.gz.asc"   && gpg --batch --verify yarn-v$YARN_VERSION.tar.gz.asc yarn-v$YARN_VERSION.tar.gz   && gpgconf --kill all   && rm -rf "$GNUPGHOME"   && mkdir -p /opt   && tar -xzf yarn-v$YARN_VERSION.tar.gz -C /opt/   && ln -s /opt/yarn-v$YARN_VERSION/bin/yarn /usr/local/bin/yarn   && ln -s /opt/yarn-v$YARN_VERSION/bin/yarnpkg /usr/local/bin/yarnpkg   && rm yarn-v$YARN_VERSION.tar.gz.asc yarn-v$YARN_VERSION.tar.gz   && apk del .build-deps-yarn   && yarn --version   && rm -rf /tmp/* # buildkit
                        
# 2025-12-18 08:39:42  0.00B 设置环境变量 YARN_VERSION
ENV YARN_VERSION=1.22.22
                        
# 2025-12-18 08:39:42  120.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c addgroup -g 1000 node     && adduser -u 1000 -G node -s /bin/sh -D node     && apk add --no-cache         libstdc++     && apk add --no-cache --virtual .build-deps         curl     && ARCH= OPENSSL_ARCH='linux*' && alpineArch="$(apk --print-arch)"       && case "${alpineArch##*-}" in         x86_64) ARCH='x64' CHECKSUM="a371d92fafee1b20ede35c3df747ca1c8b25fcb2e14d3a4c36b41166faae707f" OPENSSL_ARCH=linux-x86_64;;         x86) OPENSSL_ARCH=linux-elf;;         aarch64) OPENSSL_ARCH=linux-aarch64;;         arm*) OPENSSL_ARCH=linux-armv4;;         ppc64le) OPENSSL_ARCH=linux-ppc64le;;         s390x) OPENSSL_ARCH=linux-s390x;;         *) ;;       esac   && if [ -n "${CHECKSUM}" ]; then     set -eu;     curl -fsSLO --compressed "https://unofficial-builds.nodejs.org/download/release/v$NODE_VERSION/node-v$NODE_VERSION-linux-$ARCH-musl.tar.xz";     echo "$CHECKSUM  node-v$NODE_VERSION-linux-$ARCH-musl.tar.xz" | sha256sum -c -       && tar -xJf "node-v$NODE_VERSION-linux-$ARCH-musl.tar.xz" -C /usr/local --strip-components=1 --no-same-owner       && ln -s /usr/local/bin/node /usr/local/bin/nodejs;   else     echo "Building from source"     && apk add --no-cache --virtual .build-deps-full         binutils-gold         g++         gcc         gnupg         libgcc         linux-headers         make         python3         py-setuptools     && export GNUPGHOME="$(mktemp -d)"     && for key in       5BE8A3F6C8A5C01D106C0AD820B1A390B168D356       DD792F5973C6DE52C432CBDAC77ABFA00DDBF2B7       CC68F5A3106FF448322E48ED27F5E38D5B0A215F       8FCCA13FEF1D0C2E91008E09770F7A9A5AE15600       890C08DB8579162FEE0DF9DB8BEAB4DFCF555EF4       C82FA3AE1CBEDC6BE46B9360C43CEC45C17AB93C       108F52B48DB57BB0CC439B2997B01419BD92F80A       A363A499291CBBC940DD62E41F10027AF002F8B0     ; do       { gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$key" && gpg --batch --fingerprint "$key"; } ||       { gpg --batch --keyserver keyserver.ubuntu.com --recv-keys "$key" && gpg --batch --fingerprint "$key"; } ;     done     && curl -fsSLO --compressed "https://nodejs.org/dist/v$NODE_VERSION/node-v$NODE_VERSION.tar.xz"     && curl -fsSLO --compressed "https://nodejs.org/dist/v$NODE_VERSION/SHASUMS256.txt.asc"     && gpg --batch --decrypt --output SHASUMS256.txt SHASUMS256.txt.asc     && gpgconf --kill all     && rm -rf "$GNUPGHOME"     && grep " node-v$NODE_VERSION.tar.xz\$" SHASUMS256.txt | sha256sum -c -     && tar -xf "node-v$NODE_VERSION.tar.xz"     && cd "node-v$NODE_VERSION"     && ./configure     && make -j$(getconf _NPROCESSORS_ONLN) V=     && make install     && apk del .build-deps-full     && cd ..     && rm -Rf "node-v$NODE_VERSION"     && rm "node-v$NODE_VERSION.tar.xz" SHASUMS256.txt.asc SHASUMS256.txt;   fi   && rm -f "node-v$NODE_VERSION-linux-$ARCH-musl.tar.xz"   && find /usr/local/include/node/openssl/archs -mindepth 1 -maxdepth 1 ! -name "$OPENSSL_ARCH" -exec rm -rf {} \;   && apk del .build-deps   && node --version   && npm --version   && rm -rf /tmp/* # buildkit
                        
# 2025-12-18 08:39:42  0.00B 设置环境变量 NODE_VERSION
ENV NODE_VERSION=20.19.6
                        
# 2025-12-18 08:12:29  0.00B 设置默认要执行的命令
CMD ["/bin/sh"]
                        
# 2025-12-18 08:12:29  8.44MB 复制文件或目录到容器中
ADD alpine-minirootfs-3.23.2-x86_64.tar.gz / # buildkit
                        
                    

镜像信息

{
    "Id": "sha256:9df8e2ee03c0aefcfb63e400d59fc5f86f59f14cba96e76d585edadb4415dc1a",
    "RepoTags": [
        "ghcr.io/conardli/easy-dataset:1.7.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/conardli/easy-dataset:1.7.0"
    ],
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-01-13T02:45:03.443334383Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
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        "Domainname": "",
        "User": "",
        "AttachStdin": false,
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
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            "org.opencontainers.image.revision": "2d008706f6fcef18f453dd6c84b33f0c59e94d70",
            "org.opencontainers.image.source": "https://github.com/ConardLi/easy-dataset",
            "org.opencontainers.image.title": "easy-dataset",
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2903039315,
    "GraphDriver": {
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}

更多版本

ghcr.io/conardli/easy-dataset:1.3.6

linux/amd64 ghcr.io2.24GB2025-06-07 13:41
290

ghcr.io/conardli/easy-dataset:latest

linux/amd64 ghcr.io2.57GB2025-07-11 20:39
463

ghcr.io/conardli/easy-dataset:latest

linux/arm64 ghcr.io2.54GB2025-07-31 14:50
174

ghcr.io/conardli/easy-dataset:1.7.0

linux/amd64 ghcr.io2.90GB2026-01-15 15:56
11