docker.io/clusterzx/paperless-ai:nightly linux/amd64

docker.io/clusterzx/paperless-ai:nightly - 国内下载镜像源 浏览次数:12
源镜像 docker.io/clusterzx/paperless-ai:nightly
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly
镜像ID sha256:b74ad519c0f3c5c98d23d783f201fc420a909bf45959b485089d6ed3af12e345
镜像TAG nightly
大小 8.57GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD ./start-services.sh
启动入口 docker-entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 12 次
贡献者
镜像创建 2025-12-19T00:19:14.22476229Z
同步时间 2025-12-20 00:39
更新时间 2025-12-20 02:25
开放端口
3000/tcp
目录挂载
/app/data
环境变量
PATH=/app/venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NODE_VERSION=22.21.1 YARN_VERSION=1.22.22 NODE_ENV=production
镜像标签
2025-12-19T00:16:37.945Z: org.opencontainers.image.created An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.: org.opencontainers.image.description MIT: org.opencontainers.image.licenses 0eee0c69d5da3b2a4d2fb4e0fdcd71242567e3ba: org.opencontainers.image.revision https://github.com/clusterzx/paperless-ai: org.opencontainers.image.source paperless-ai: org.opencontainers.image.title https://github.com/clusterzx/paperless-ai: org.opencontainers.image.url nightly: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly  docker.io/clusterzx/paperless-ai:nightly

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly  docker.io/clusterzx/paperless-ai:nightly

Shell快速替换命令

sed -i 's#clusterzx/paperless-ai:nightly#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly#' 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/clusterzx/paperless-ai:nightly && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly  docker.io/clusterzx/paperless-ai:nightly'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/clusterzx/paperless-ai:nightly  docker.io/clusterzx/paperless-ai:nightly'

镜像构建历史


# 2025-12-19 08:19:14  0.00B 设置默认要执行的命令
CMD ["./start-services.sh"]
                        
# 2025-12-19 08:19:14  0.00B 设置环境变量 NODE_ENV
ENV NODE_ENV=production
                        
# 2025-12-19 08:19:14  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl -f http://localhost:${PAPERLESS_AI_PORT:-3000}/health || exit 1"] "30s" "30s" "5s" "0s" '\x03'}
                        
# 2025-12-19 08:19:14  0.00B 声明容器运行时监听的端口
EXPOSE [3000/tcp]
                        
# 2025-12-19 08:19:14  0.00B 创建挂载点用于持久化数据或共享数据
VOLUME [/app/data]
                        
# 2025-12-19 08:19:14  724.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x start-services.sh # buildkit
                        
# 2025-12-19 08:19:14  3.74MB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-12-19 08:19:13  182.85MB 执行命令并创建新的镜像层
RUN /bin/sh -c npm ci --only=production && npm cache clean --force # buildkit
                        
# 2025-12-19 08:19:00  208.41KB 复制新文件或目录到容器中
COPY package*.json ./ # buildkit
                        
# 2025-12-19 08:18:59  7.74GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --upgrade pip && pip install --no-cache-dir -r requirements.txt # buildkit
                        
# 2025-12-19 08:18:59  0.00B 设置环境变量 PATH
ENV PATH=/app/venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-12-19 08:17:07  21.62MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m venv /app/venv # buildkit
                        
# 2025-12-19 08:17:05  202.00B 复制新文件或目录到容器中
COPY requirements.txt /app/ # buildkit
                        
# 2025-12-19 08:17:05  41.96MB 执行命令并创建新的镜像层
RUN /bin/sh -c npm install pm2 -g # buildkit
                        
# 2025-12-19 08:17:00  351.41MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends     python3     python3-pip     python3-dev     python3-venv     make     g++     curl     wget &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-12-19 08:16:44  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-12-09 07:15:45  0.00B 设置默认要执行的命令
CMD ["node"]
                        
# 2025-12-09 07:15:45  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["docker-entrypoint.sh"]
                        
# 2025-12-09 07:15:45  388.00B 复制新文件或目录到容器中
COPY docker-entrypoint.sh /usr/local/bin/ # buildkit
                        
# 2025-12-09 07:15:45  7.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -ex   && savedAptMark="$(apt-mark showmanual)"   && apt-get update && apt-get install -y ca-certificates curl wget gnupg dirmngr --no-install-recommends   && rm -rf /var/lib/apt/lists/*   && export GNUPGHOME="$(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   && apt-mark auto '.*' > /dev/null   && { [ -z "$savedAptMark" ] || apt-mark manual $savedAptMark > /dev/null; }   && find /usr/local -type f -executable -exec ldd '{}' ';'     | awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); print so }'     | sort -u     | xargs -r dpkg-query --search     | cut -d: -f1     | sort -u     | xargs -r apt-mark manual   && apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false   && yarn --version   && rm -rf /tmp/* # buildkit
                        
# 2025-12-09 07:15:32  0.00B 设置环境变量 YARN_VERSION
ENV YARN_VERSION=1.22.22
                        
# 2025-12-09 07:15:32  144.65MB 执行命令并创建新的镜像层
RUN /bin/sh -c ARCH= OPENSSL_ARCH= && dpkgArch="$(dpkg --print-architecture)"     && case "${dpkgArch##*-}" in       amd64) ARCH='x64' OPENSSL_ARCH='linux-x86_64';;       ppc64el) ARCH='ppc64le' OPENSSL_ARCH='linux-ppc64le';;       s390x) ARCH='s390x' OPENSSL_ARCH='linux*-s390x';;       arm64) ARCH='arm64' OPENSSL_ARCH='linux-aarch64';;       armhf) ARCH='armv7l' OPENSSL_ARCH='linux-armv4';;       i386) ARCH='x86' OPENSSL_ARCH='linux-elf';;       *) echo "unsupported architecture"; exit 1 ;;     esac     && set -ex     && apt-get update && apt-get install -y ca-certificates curl wget gnupg dirmngr xz-utils libatomic1 --no-install-recommends     && rm -rf /var/lib/apt/lists/*     && 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$NODE_VERSION-linux-$ARCH.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$NODE_VERSION-linux-$ARCH.tar.xz\$" SHASUMS256.txt | sha256sum -c -     && tar -xJf "node-v$NODE_VERSION-linux-$ARCH.tar.xz" -C /usr/local --strip-components=1 --no-same-owner     && rm "node-v$NODE_VERSION-linux-$ARCH.tar.xz" SHASUMS256.txt.asc SHASUMS256.txt     && find /usr/local/include/node/openssl/archs -mindepth 1 -maxdepth 1 ! -name "$OPENSSL_ARCH" -exec rm -rf {} \;     && apt-mark auto '.*' > /dev/null     && find /usr/local -type f -executable -exec ldd '{}' ';'       | awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); print so }'       | sort -u       | xargs -r dpkg-query --search       | cut -d: -f1       | sort -u       | xargs -r apt-mark manual     && apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false     && ln -s /usr/local/bin/node /usr/local/bin/nodejs     && node --version     && npm --version     && rm -rf /tmp/* # buildkit
                        
# 2025-12-09 07:15:32  0.00B 设置环境变量 NODE_VERSION
ENV NODE_VERSION=22.21.1
                        
# 2025-12-09 07:15:11  8.90KB 执行命令并创建新的镜像层
RUN /bin/sh -c groupadd --gid 1000 node   && useradd --uid 1000 --gid node --shell /bin/bash --create-home node # buildkit
                        
# 2025-12-08 08:00:00  74.81MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1765152000'
                        
                    

镜像信息

{
    "Id": "sha256:b74ad519c0f3c5c98d23d783f201fc420a909bf45959b485089d6ed3af12e345",
    "RepoTags": [
        "clusterzx/paperless-ai:nightly",
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-19T00:19:14.22476229Z",
    "Container": "",
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    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
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        "ExposedPorts": {
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        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "YARN_VERSION=1.22.22",
            "NODE_ENV=production"
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        "Cmd": [
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        "Healthcheck": {
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            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.revision": "0eee0c69d5da3b2a4d2fb4e0fdcd71242567e3ba",
            "org.opencontainers.image.source": "https://github.com/clusterzx/paperless-ai",
            "org.opencontainers.image.title": "paperless-ai",
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    "Os": "linux",
    "Size": 8571256732,
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}

更多版本

docker.io/clusterzx/paperless-ai:nightly

linux/amd64 docker.io8.57GB2025-12-20 00:39
11