镜像构建历史
# 2025-07-09 14:09:06 0.00B 设置默认要执行的命令
CMD ["python3" "app.py"]
# 2025-07-09 14:09:06 0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl -f http://localhost:8888/docs || exit 1"] "30s" "10s" "1m0s" "0s" '\x03'}
# 2025-07-09 14:09:06 0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
# 2025-07-09 14:09:06 8.22KB 执行命令并创建新的镜像层
RUN |5 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 PREDOWNLOAD_MODELS=false /bin/sh -c rm -f requirements-active.txt && apt-get clean && python3 -c "import site; print(site.getsitepackages())" | xargs -I {} find {} -name "*.pyc" -delete 2>/dev/null || true # buildkit
# 2025-07-09 14:09:05 0.00B 设置环境变量 INSTALL_TYPE
ENV INSTALL_TYPE=core
# 2025-07-09 14:09:05 0.00B 设置环境变量 MINERU_MODEL_SOURCE
ENV MINERU_MODEL_SOURCE=modelscope
# 2025-07-09 14:09:05 0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/app
# 2025-07-09 14:09:05 0.00B 执行命令并创建新的镜像层
RUN |5 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 PREDOWNLOAD_MODELS=false /bin/sh -c if [ "$PREDOWNLOAD_MODELS" = "true" ] && [ "$INSTALL_TYPE" = "core" ]; then echo "Pre-downloading pipeline models..."; export MINERU_MODEL_SOURCE=modelscope; mineru-models-download -s modelscope -m pipeline || echo "Pipeline model download failed, will download on first use"; else echo "Skipping model pre-download for faster build. Models will be downloaded on first use."; fi # buildkit
# 2025-07-09 14:09:05 0.00B 定义构建参数
ARG PREDOWNLOAD_MODELS=false
# 2025-07-09 14:09:05 826.00B 执行命令并创建新的镜像层
RUN |4 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 /bin/sh -c chmod +x start_services.sh # buildkit
# 2025-07-09 14:09:05 2.80MB 复制新文件或目录到容器中
COPY . . # buildkit
# 2025-07-09 14:09:05 6.10GB 执行命令并创建新的镜像层
RUN |4 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 /bin/sh -c uv pip install --system -r requirements-active.txt # buildkit
# 2025-07-09 14:07:45 57.00B 执行命令并创建新的镜像层
RUN |4 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 /bin/sh -c if [ "$INSTALL_TYPE" = "core" ]; then echo "Installing core dependencies for basic version..."; if [ -f "requirements-core.txt" ]; then cp requirements-core.txt requirements-active.txt; else echo "mineru[pipeline]==2.1.0" > requirements-active.txt; echo "fastapi" >> requirements-active.txt; echo "uvicorn" >> requirements-active.txt; echo "python-multipart" >> requirements-active.txt; fi else echo "Installing full dependencies..."; cp requirements.txt requirements-active.txt; fi # buildkit
# 2025-07-09 14:07:45 58.00B 复制新文件或目录到容器中
COPY requirements*.txt ./ # buildkit
# 2025-07-09 14:07:45 0.00B 设置工作目录为/app
WORKDIR /app
# 2025-07-09 14:07:45 55.32MB 执行命令并创建新的镜像层
RUN |4 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 /bin/sh -c pip3 install --upgrade pip uv # buildkit
# 2025-07-09 14:07:39 117.00B 执行命令并创建新的镜像层
RUN |4 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 /bin/sh -c pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && pip3 config set global.trusted-host pypi.tuna.tsinghua.edu.cn && pip3 config set global.timeout 60 # buildkit
# 2025-07-09 14:07:38 564.23MB 执行命令并创建新的镜像层
RUN |4 INSTALL_TYPE=core http_proxy= https_proxy= TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends python3 python3-pip python3-dev git wget curl build-essential pkg-config libgl1-mesa-glx libglib2.0-0 libgomp1 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-07-09 14:06:57 0.00B 设置环境变量 https_proxy
ENV https_proxy=
# 2025-07-09 14:06:57 0.00B 设置环境变量 http_proxy
ENV http_proxy=
# 2025-07-09 14:06:57 0.00B 定义构建参数
ARG TARGETARCH=amd64
# 2025-07-09 14:06:57 0.00B 定义构建参数
ARG https_proxy
# 2025-07-09 14:06:57 0.00B 定义构建参数
ARG http_proxy
# 2025-07-09 14:06:57 0.00B 定义构建参数
ARG INSTALL_TYPE=core
# 2025-07-09 14:06:57 47.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # buildkit
# 2025-07-09 14:06:57 0.00B 设置环境变量 TZ
ENV TZ=Asia/Shanghai
# 2023-11-10 14:42:37 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 14:42:37 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 14:42:37 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 14:42:37 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-10 14:42:37 260.16KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 14:42:36 2.41GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:42:36 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:42:36 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
# 2023-11-10 14:42:36 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
# 2023-11-10 14:37:16 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 14:37:16 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 14:37:16 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 14:37:16 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 14:37:16 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2023-11-10 14:37:16 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2023-11-10 14:37:16 150.67MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:37:01 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
# 2023-11-10 14:37:01 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:37:01 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:37:01 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:37:01 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
# 2023-11-10 14:37:01 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
# 2023-11-10 14:37:01 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
# 2023-11-10 14:37:01 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-05 15:33:32 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-05 15:33:32 77.82MB
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:e18b48b46661866e8edee44e57330e57814d66d249229914dc9250d11dd6d2c4",
"RepoTags": [
"zxwei/mineru-api:2.1.0",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api:2.1.0"
],
"RepoDigests": [
"zxwei/mineru-api@sha256:e889cf657f758180543e0edbc8344e97db928ba1e341c195cabafb76f326f3b0",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/zxwei/mineru-api@sha256:c88859cc4d6fd89e45fb746bf7cba7b2cbd25fb22b250db46535e21c6c7a2a12"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-07-09T06:09:06.082190022Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"8888/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=11.8 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471",
"NV_CUDA_CUDART_VERSION=11.8.89-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
"CUDA_VERSION=11.8.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=11.8.0-1",
"NV_NVTX_VERSION=11.8.86-1",
"NV_LIBNPP_VERSION=11.8.0.86-1",
"NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1",
"NV_LIBCUSPARSE_VERSION=11.7.5.86-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8",
"NV_LIBCUBLAS_VERSION=11.11.3.6-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1",
"NCCL_VERSION=2.15.5-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8",
"NVIDIA_PRODUCT_NAME=CUDA",
"TZ=Asia/Shanghai",
"http_proxy=",
"https_proxy=",
"PYTHONPATH=/app",
"MINERU_MODEL_SOURCE=modelscope",
"INSTALL_TYPE=core"
],
"Cmd": [
"python3",
"app.py"
],
"Healthcheck": {
"Test": [
"CMD-SHELL",
"curl -f http://localhost:8888/docs || exit 1"
],
"Interval": 30000000000,
"Timeout": 10000000000,
"StartPeriod": 60000000000,
"Retries": 3
},
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/app",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "22.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 9373994697,
"GraphDriver": {
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"UpperDir": "/var/lib/docker/overlay2/9a57759a19023e712259405c3af69237476b4cae5ae8db0c943dcbf0f57a320c/diff",
"WorkDir": "/var/lib/docker/overlay2/9a57759a19023e712259405c3af69237476b4cae5ae8db0c943dcbf0f57a320c/work"
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