Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0  docker.io/wechatopenai/weknora-docreader:v0.9.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0  docker.io/wechatopenai/weknora-docreader:v0.9.0

Shell快速替换命令

sed -i 's#wechatopenai/weknora-docreader:v0.9.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0#' 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:v0.9.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0  docker.io/wechatopenai/weknora-docreader:v0.9.0'

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:v0.9.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0  docker.io/wechatopenai/weknora-docreader:v0.9.0'

镜像构建历史

# 2026-10-29 14:30:23  0.00B 设置默认要执行的命令
CMD ["/app/.venv/bin/python" "-m" "docreader.main"]
                        
# 2026-10-29 14:30:23  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/app/.venv/bin/python" "-m" "docreader.container_entrypoint"]
                        
# 2026-10-29 14:30:23  0.00B 声明容器运行时监听的端口
EXPOSE [50051/tcp]
                        
# 2026-10-29 14:30:23  0.00B 执行命令并创建新的镜像层
RUN |4 APT_MIRROR= TARGETARCH=amd64 PLAYWRIGHT_DOWNLOAD_HOST= PLAYWRIGHT_WEBKIT_DOWNLOAD_HOST= /bin/sh -c mkdir -p /tmp/docreader # buildkit
                        
# 2026-10-29 14:30:23  1.50MB 复制新文件或目录到容器中
COPY /app/docreader docreader # buildkit
                        
# 2026-10-29 14:30:23  479.98KB 复制新文件或目录到容器中
COPY docreader/pyproject.toml docreader/uv.lock ./ # buildkit
                        
# 2026-10-29 14:30:23  138.52MB 执行命令并创建新的镜像层
RUN |4 APT_MIRROR= TARGETARCH=amd64 PLAYWRIGHT_DOWNLOAD_HOST= PLAYWRIGHT_WEBKIT_DOWNLOAD_HOST= /bin/sh -c python -m playwright install-deps webkit # buildkit
                        
# 2026-10-29 14:30:14  286.07MB 执行命令并创建新的镜像层
RUN |4 APT_MIRROR= TARGETARCH=amd64 PLAYWRIGHT_DOWNLOAD_HOST= PLAYWRIGHT_WEBKIT_DOWNLOAD_HOST= /bin/sh -c if [ -n "$PLAYWRIGHT_WEBKIT_DOWNLOAD_HOST" ]; then         PLAYWRIGHT_WEBKIT_DOWNLOAD_HOST="$PLAYWRIGHT_WEBKIT_DOWNLOAD_HOST" python -m playwright install webkit;     elif [ -n "$PLAYWRIGHT_DOWNLOAD_HOST" ]; then         PLAYWRIGHT_DOWNLOAD_HOST="$PLAYWRIGHT_DOWNLOAD_HOST" python -m playwright install webkit;     else         python -m playwright install webkit;     fi # buildkit
                        
# 2026-10-29 14:30:10  0.00B 定义构建参数
ARG PLAYWRIGHT_WEBKIT_DOWNLOAD_HOST=
                        
# 2026-10-29 14:30:10  0.00B 定义构建参数
ARG PLAYWRIGHT_DOWNLOAD_HOST=
                        
# 2026-10-29 14:30:10  43.52MB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-10-29 14:30:10  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
                        
# 2026-10-29 14:30:10  774.19MB 复制新文件或目录到容器中
COPY /app/.venv /app/.venv # buildkit
                        
# 2026-10-29 14:30:07  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/.venv
                        
# 2026-10-29 14:30:07  11.46MB 执行命令并创建新的镜像层
RUN |2 APT_MIRROR= TARGETARCH=amd64 /bin/sh -c if [ -z "$TARGETARCH" ]; then         case $(uname -m) in             "x86_64") TARGETARCH="amd64" ;;             "aarch64") TARGETARCH="arm64" ;;             "armv7l") TARGETARCH="arm" ;;             *) echo "Unsupported architecture: $(uname -m)" && exit 1 ;;         esac;         echo "[自动检测] 架构: $TARGETARCH";     else         echo "[BuildKit] 架构: $TARGETARCH";     fi &&     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
                        
# 2026-10-29 14:30:06  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-10-29 14:30:06  1.86GB 执行命令并创建新的镜像层
RUN |1 APT_MIRROR= /bin/sh -c apt-get update && apt-get install -y     libjpeg62-turbo     wget     gnupg     openjdk-17-jre-headless     libgl1     libglib2.0-0     antiword     tar     dpkg     libxinerama1     libfontconfig1     libdbus-glib-1-2     libcairo2     libcups2     libglu1-mesa     libsm6     libreoffice     curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-10-29 14:28:39  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-10-29 14:28:39  0.00B 执行命令并创建新的镜像层
RUN |1 APT_MIRROR= /bin/sh -c if [ -n "$APT_MIRROR" ]; then         sed -i "s@http://deb.debian.org@${APT_MIRROR}@g" /etc/apt/sources.list.d/debian.sources &&         sed -i "s@http://security.debian.org@${APT_MIRROR}@g" /etc/apt/sources.list.d/debian.sources;     fi # buildkit
                        
# 2026-10-29 14:28:39  0.00B 定义构建参数
ARG APT_MIRROR=
                        
# 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": "sha256:8ce30838b94de852cb2c81cc5262e4518ee5ea1df16df6eeda00ba3d5d020d09",
    "RepoTags": [
        "wechatopenai/weknora-docreader:v0.9.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.9.0"
    ],
    "RepoDigests": [
        "wechatopenai/weknora-docreader@sha256:8c71ec3cc2e291829c3938d2c7dc5f921c1d10551c8774bf844c83bc4aa3cb84",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader@sha256:ebdc14c37a9edc46791101296f8c1e674112fc3437a59da75dd3e0bba00fda64"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-10-29T06:30:23.876379273Z",
    "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": [
            "/app/.venv/bin/python",
            "-m",
            "docreader.main"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "/app/.venv/bin/python",
            "-m",
            "docreader.container_entrypoint"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2026-10-29T07:04:02.842Z",
            "org.opencontainers.image.description": "Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.",
            "org.opencontainers.image.licenses": "NOASSERTION",
            "org.opencontainers.image.revision": "f17ee8a8da901bd658a4cb25f40b5fd41adbfdd7",
            "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": "v0.9.0"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 4116337121,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/c43ad799a63f15ac41402fef1e3b0c6474cd5e631573bf6525994cb279fa7d1a/diff:/var/lib/docker/overlay2/bd160aca2a08c0ccbb779eadd3636ebeb49ae54643bfddc9498bb513663b011f/diff:/var/lib/docker/overlay2/4c931b164909834cc7a1d5389bdbbf48e650ac184e53154360c55bfa7a1f34b0/diff:/var/lib/docker/overlay2/7cdf857aeea92e91c9a016a68eaf8803d046b60c0a35680758044b8be2107768/diff:/var/lib/docker/overlay2/4f4ccb6f50394b313058dae633b00d143cc31471ca50bdd223af972a7103888a/diff:/var/lib/docker/overlay2/f1f591dafad1a4b3f17686de59a3b33801b851659c1ad131e91df45aefe22e6c/diff:/var/lib/docker/overlay2/4870997ffe89546dafd0b06a42dcd09d137d4229341ab24907ff7b4e542f8ffe/diff:/var/lib/docker/overlay2/7f6423099d775e46937f3dc8180fb32a7b4596081a021e12e85325970599634a/diff:/var/lib/docker/overlay2/7def9c23fc91fb175733da1335efbe114ea4c5a6997ab078bc5b8678983601f4/diff:/var/lib/docker/overlay2/798c14a3d4e6464ce476711afceaa97a6b54a325dda66e77085e12224d460818/diff:/var/lib/docker/overlay2/2abf90b3d08a71b03619f51067f1d64b291c9486499dde776dfaa781b3bb7b6c/diff:/var/lib/docker/overlay2/16970dc14eddbbdbaebecd245118e2f64ebdc599847d7bf5a3f6f94b75597472/diff:/var/lib/docker/overlay2/f5a4637ebbb4242a926906c58553402854199367285c9f56851e1f17763a8451/diff:/var/lib/docker/overlay2/b700ddf2d0b2adc20aa7039efd8066a26c3c64e99f99b101b0820c59eba22a82/diff:/var/lib/docker/overlay2/90f29e8ba4814bc815c367dfe35667a12904ccf17967aecfb9462fb678979476/diff:/var/lib/docker/overlay2/c192e30f9d4040568d31b57d8d5716063712f51e76043b61909f87c447abc49f/diff:/var/lib/docker/overlay2/1ea2486c79e4d920358881ff2976c01fcc87abcd2ddbe36c8bff3261849cf3e4/diff",
            "MergedDir": "/var/lib/docker/overlay2/8168b878076dad8381a5867e1320a3b0585c9693819bd57380e3c44a78cc758e/merged",
            "UpperDir": "/var/lib/docker/overlay2/8168b878076dad8381a5867e1320a3b0585c9693819bd57380e3c44a78cc758e/diff",
            "WorkDir": "/var/lib/docker/overlay2/8168b878076dad8381a5867e1320a3b0585c9693819bd57380e3c44a78cc758e/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:3b385b8d2549f221564f3f6aae76bab67aa91e58ba61aaf39bbd993f2ef7a64e",
            "sha256:3f1630e3667fa3aab806eb43a53f678067f676608a99de8ead90270b5fb246cf",
            "sha256:060ee1077a8d8a43f7c216de1ffa4079b79dc5ca6ffe678aa9d0b1f25d68ba21",
            "sha256:1bd72b14925918d0296097021acb3f2c90ed841f180b8312f4226a6d084f88a6",
            "sha256:4da526b8d35a33b6fdb5cef5a04eaeeb679252b2d959e0e3f8b6d44a94f5f872",
            "sha256:4d12a84a1071c394ba692ce122a03fd9fb6a69ffc90df7c92e4712a376f99c8e",
            "sha256:2fc57789fca716d826925a110e0957ccf799a36cb247b0188796c3647675374c",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:603efc59b542a2121b40ebd6991e7b9543cf8bc8dec99ac62d9d655be47ed324",
            "sha256:236506a77457044ab66e3010547227b6090912f1fe1e0b53bde848240b382850",
            "sha256:d8d2b9213be99eec7ebbfa8e42905c8daee696583b10ec57f690fd659a72b2ab",
            "sha256:737243f7845bd5a49a653fbb688193365c86badc6fdd0d2b52142778f7e3067f",
            "sha256:b2882c284e1f5391245d31f5ff8e53de444f905ba2485998531d1a91c5a557e6",
            "sha256:bfc6717d4b09d4c67aa4bee927af035f3a9cb8b2db65d52c651d8ca7f9931ac3",
            "sha256:45ca83d6f5ec4152c58dd45e1869bf31bac70189cb8600ae3052cf127c365c70",
            "sha256:6aece64b59f80689b8c93db25a83b1e7af87babaac805059bf17561d8db366f2",
            "sha256:a3fa4e6c2fbffab2a130553842da95ee55b61f36de53f25035cae81067780165",
            "sha256:94457885e93e3bf7b23978e0e3656699d45053cc773eb7c753a5ee239c52d902"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-10-30T02:33:45.456868215+08:00"
    }
}