docker.io/wechatopenai/weknora-docreader:v0.2.1 linux/amd64

docker.io/wechatopenai/weknora-docreader:v0.2.1 - 国内下载镜像源 浏览次数:12
源镜像 docker.io/wechatopenai/weknora-docreader:v0.2.1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1
镜像ID sha256:cb209251985223063ea8a70f5ff86dc838eb842f9ea19c492fc4fd6cc16a50e2
镜像TAG v0.2.1
大小 5.46GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD uv run -m docreader.main
启动入口
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 2025-12-05T10:07:25.164840271Z
同步时间 2025-12-14 12:40
更新时间 2025-12-14 21:11
开放端口
50051/tcp
环境变量
PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.10.18 PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f VIRTUAL_ENV=/app/.venv
镜像标签
2025-12-08T11:58:17.104Z: org.opencontainers.image.created LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.: org.opencontainers.image.description NOASSERTION: org.opencontainers.image.licenses da904f40b5e6d39f3752cae97f4043c4785ccb30: org.opencontainers.image.revision https://github.com/Tencent/WeKnora: org.opencontainers.image.source WeKnora: org.opencontainers.image.title https://github.com/Tencent/WeKnora: org.opencontainers.image.url v0.2.1: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1  docker.io/wechatopenai/weknora-docreader:v0.2.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1  docker.io/wechatopenai/weknora-docreader:v0.2.1

Shell快速替换命令

sed -i 's#wechatopenai/weknora-docreader:v0.2.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1#' 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-docreader:v0.2.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1  docker.io/wechatopenai/weknora-docreader:v0.2.1'

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-docreader:v0.2.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1  docker.io/wechatopenai/weknora-docreader:v0.2.1'

镜像构建历史


# 2025-12-05 18:07:25  0.00B 设置默认要执行的命令
CMD ["uv" "run" "-m" "docreader.main"]
                        
# 2025-12-05 18:07:25  0.00B 声明容器运行时监听的端口
EXPOSE [50051/tcp]
                        
# 2025-12-05 18:07:25  1.05MB 复制新文件或目录到容器中
COPY /app/docreader docreader # buildkit
                        
# 2025-12-05 18:07:25  734.35KB 复制新文件或目录到容器中
COPY docreader/pyproject.toml docreader/uv.lock ./ # buildkit
                        
# 2025-12-05 15:26:43  122.22MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c python -m playwright install-deps webkit # buildkit
                        
# 2025-12-05 15:26:14  286.08MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c python -m playwright install webkit # buildkit
                        
# 2025-12-05 15:26:08  18.03MB 复制新文件或目录到容器中
COPY /root/.paddleocr /root/.paddleocr # buildkit
                        
# 2025-12-05 15:26:08  59.77MB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2025-12-05 15:26:07  0.00B 设置环境变量 PATH
ENV PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-12-05 15:26:07  2.14GB 复制新文件或目录到容器中
COPY /app/.venv /app/.venv # buildkit
                        
# 2025-10-15 11:51:48  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/.venv
                        
# 2025-10-15 11:51:48  11.46MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c GRPC_HEALTH_PROBE_VERSION=v0.4.24 &&     case ${TARGETARCH} in         "amd64") ARCH="amd64" ;;         "arm64") ARCH="arm64" ;;         "arm") ARCH="arm" ;;         *) echo "Unsupported architecture: ${TARGETARCH}" && exit 1 ;;     esac &&     wget -qO/bin/grpc_health_probe https://github.com/grpc-ecosystem/grpc-health-probe/releases/download/${GRPC_HEALTH_PROBE_VERSION}/grpc_health_probe-linux-${ARCH} &&     chmod +x /bin/grpc_health_probe # buildkit
                        
# 2025-10-15 11:51:48  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-10-15 11:51:48  1.82GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y     libjpeg62-turbo     libpq5     wget     gnupg     libgl1     libglib2.0-0     antiword     vim     tar     dpkg     libxinerama1     libfontconfig1     libdbus-glib-1-2     libcairo2     libcups2     libglu1-mesa     libsm6     libreoffice     curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-15 11:49:27  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-10-15 11:49:27  473.00B 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i 's@http://deb.debian.org@https://mirrors.tuna.tsinghua.edu.cn@g' /etc/apt/sources.list.d/debian.sources &&     sed -i 's@http://security.debian.org@https://mirrors.tuna.tsinghua.edu.cn@g' /etc/apt/sources.list.d/debian.sources # buildkit
                        
# 2025-08-09 02:20:34  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-08-09 02:20:34  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2025-08-09 02:20:34  55.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		bin="$(readlink -ve /usr/local/bin/python3)"; 	dir="$(dirname "$bin")"; 	mkdir -p "/usr/share/gdb/auto-load/$dir"; 	cp -vL Tools/gdb/libpython.py "/usr/share/gdb/auto-load/$bin-gdb.py"; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==65.5.1' 		'wheel<0.46' 	; 	pip3 --version # buildkit
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.18
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-08-09 02:20:34  17.78MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		libbluetooth-dev 		tk-dev 		uuid-dev 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-01-09 09:14:25  587.78MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -ex; 	apt-get update; 	apt-get install -y --no-install-recommends 		autoconf 		automake 		bzip2 		default-libmysqlclient-dev 		dpkg-dev 		file 		g++ 		gcc 		imagemagick 		libbz2-dev 		libc6-dev 		libcurl4-openssl-dev 		libdb-dev 		libevent-dev 		libffi-dev 		libgdbm-dev 		libglib2.0-dev 		libgmp-dev 		libjpeg-dev 		libkrb5-dev 		liblzma-dev 		libmagickcore-dev 		libmagickwand-dev 		libmaxminddb-dev 		libncurses5-dev 		libncursesw5-dev 		libpng-dev 		libpq-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		libtool 		libwebp-dev 		libxml2-dev 		libxslt-dev 		libyaml-dev 		make 		patch 		unzip 		xz-utils 		zlib1g-dev 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-01-09 09:14:25  177.16MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		git 		mercurial 		openssh-client 		subversion 				procps 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-05-11 07:29:59  48.40MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		curl 		gnupg 		netbase 		sq 		wget 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-05-11 07:29:59  116.54MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1759104000'
                        
                    

镜像信息

{
    "Id": "sha256:cb209251985223063ea8a70f5ff86dc838eb842f9ea19c492fc4fd6cc16a50e2",
    "RepoTags": [
        "wechatopenai/weknora-docreader:v0.2.1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.2.1"
    ],
    "RepoDigests": [
        "wechatopenai/weknora-docreader@sha256:9b0d3df863b5d3151ff0c3c9f68aa54b92a180111b80a621e45f35a91c452a07",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader@sha256:e29f27afe6d7da8456b87008686eb36304183ecb59644e68fe78b7f88067243c"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-05T10:07:25.164840271Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "50051/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.10.18",
            "PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f",
            "VIRTUAL_ENV=/app/.venv"
        ],
        "Cmd": [
            "uv",
            "run",
            "-m",
            "docreader.main"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-12-08T11:58:17.104Z",
            "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": "da904f40b5e6d39f3752cae97f4043c4785ccb30",
            "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": "v0.2.1"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 5457302922,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/659780dfa59797cc885da987d02fc13f2145144b1d89d199045301b9c5eba859/diff:/var/lib/docker/overlay2/9577125a84e1ff6cf9ab529bf693fd303ba588facc142af278008c077190f362/diff:/var/lib/docker/overlay2/071f19892d61889285f0a793e2fb1a5aa6903b8570df63c4b8e938693bee4a86/diff:/var/lib/docker/overlay2/1e566fca994e833b78aaf39f44ad74471efc31b2ac3d9dfd4db53f7491eb43e8/diff:/var/lib/docker/overlay2/e1c9a52e2d00d41a24d5acc6facc2c2fb0160bf5d7551dd88d19198b1e559800/diff:/var/lib/docker/overlay2/84d2a55fe898f7a0ab45c679d1837c0312984e044cd1e0024206ec46b0a7c2ae/diff:/var/lib/docker/overlay2/334995954c6d828088fd01f8502f5791ad31d11027d73dd05d7045bf2ec63999/diff:/var/lib/docker/overlay2/26ee09ae346f87745b57450c8c38e959035efc045336dece77925cc1aec32cf4/diff:/var/lib/docker/overlay2/81a95e00f805fa14811bee1d3ef7a303a167c2711771ac4e1412bc95a3662681/diff:/var/lib/docker/overlay2/bab07474a9834d54b4105be8b8ec93b76546461bfd47ea8a8a915271535d2065/diff:/var/lib/docker/overlay2/e64ffbca6620b6790b8f97766a82d5210e7cb775ef420f8805e05e8a9ce29908/diff:/var/lib/docker/overlay2/e99e754113e76db86e0de8bbcbf1ed5295494dc11573a7ab972a8890ff1598a6/diff:/var/lib/docker/overlay2/a09a9ba642a15dbd4ef3e9263851e38dab7121f64819118d6d72b0041ba5ba1f/diff:/var/lib/docker/overlay2/491cb9acd7e2bfac2c0461ba9c5fc1a5c5089ef0fca679a005b0ba54b783990c/diff:/var/lib/docker/overlay2/3271dbd60b325a5f87041899ae19af213bbe1558ca5860ce521eaac97052c5cc/diff:/var/lib/docker/overlay2/6671943050ffd27ded08a76f296ca04e98c271ea57ab83f20692cd1655bc9014/diff:/var/lib/docker/overlay2/c994ae4ffd5555435819c2214914433712a8bc0c7bfcdc69e4b6a1114ea540da/diff",
            "MergedDir": "/var/lib/docker/overlay2/0226d62da3f360deebb94b150e590333fc4e89b31e863b74b80bf0c94ec4bd71/merged",
            "UpperDir": "/var/lib/docker/overlay2/0226d62da3f360deebb94b150e590333fc4e89b31e863b74b80bf0c94ec4bd71/diff",
            "WorkDir": "/var/lib/docker/overlay2/0226d62da3f360deebb94b150e590333fc4e89b31e863b74b80bf0c94ec4bd71/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:3b385b8d2549f221564f3f6aae76bab67aa91e58ba61aaf39bbd993f2ef7a64e",
            "sha256:3f1630e3667fa3aab806eb43a53f678067f676608a99de8ead90270b5fb246cf",
            "sha256:060ee1077a8d8a43f7c216de1ffa4079b79dc5ca6ffe678aa9d0b1f25d68ba21",
            "sha256:1bd72b14925918d0296097021acb3f2c90ed841f180b8312f4226a6d084f88a6",
            "sha256:4da526b8d35a33b6fdb5cef5a04eaeeb679252b2d959e0e3f8b6d44a94f5f872",
            "sha256:4d12a84a1071c394ba692ce122a03fd9fb6a69ffc90df7c92e4712a376f99c8e",
            "sha256:2fc57789fca716d826925a110e0957ccf799a36cb247b0188796c3647675374c",
            "sha256:41b11d0fb1ac528876b47e6da02a29fe05f815f73351aec56f83a9102ec69d18",
            "sha256:749c820a50b3621de8531a90edff2bd8df8136e98e1b2fe329db1694d0fc4997",
            "sha256:1b95251a276b69e1d0d22f9556bb4460ff455e05a187e63319dea0e3ca433b63",
            "sha256:a2295c9d3f0c72dcdd81bbb27fe7f3f4864db0daa1b90ee0756bcea24f3849e4",
            "sha256:122a38deed4a2bd2bbf68b7f1b7314c368b7c22c2f04a96c30d3bd9cffaf33a9",
            "sha256:68d7f4f51fec75b03b5b028f6cffe53ca3b1832335cf857c0e6e3941144bb588",
            "sha256:6c827d5df257c1ae671ea246a6d2d8f1764b8bca69a9250691071b60b02d5744",
            "sha256:2a6c9c0ebff5fc3e8fce0bb45f1ccdf6cc1d069fd378eef11ca508ab50feb1fc",
            "sha256:3dc45bf96b028fa0b713364161dec3e8f4df5eab6d3567b6f66441cca2975e22",
            "sha256:88b557702d615b72be6d4554646f3fb55c65323b416845fbbf4f7eb45814aa2f",
            "sha256:a24a699aa1749bb92e754011ed369e8b61964233f4368ea81bda92922ad4a665"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-12-14T12:37:03.788756397+08:00"
    }
}

更多版本

docker.io/wechatopenai/weknora-docreader:latest

linux/amd64 docker.io5.17GB2025-09-02 01:43
463

docker.io/wechatopenai/weknora-docreader:v0.2.1

linux/amd64 docker.io5.46GB2025-12-14 12:40
11