ghcr.io/biosoft-self/edta-docker:main linux/amd64

ghcr.io/biosoft-self/edta-docker:main - 国内下载镜像源 浏览次数:67
```html

该镜像 ghcr.io/biosoft-self/edta-docker 缺乏公开的描述信息。 要获取描述信息,需要访问镜像仓库 (例如GitHub Container Registry) 并查看该镜像的具体页面。

```
源镜像 ghcr.io/biosoft-self/edta-docker:main
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main
镜像ID sha256:c1a7b5eddaa81e068d80d71aaa9e2fd684a0a5538797d11d5ca2251e8d3ac1eb
镜像TAG main
大小 10.18GB
镜像源 ghcr.io
CMD /bin/bash
启动入口
工作目录 /EDTA
OS/平台 linux/amd64
浏览量 67 次
贡献者
镜像创建 2024-12-18T16:09:04.677982985Z
同步时间 2024-12-20 01:11
更新时间 2025-02-20 17:27
环境变量
PATH=/opt/conda/envs/env/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 LC_ALL=C.UTF-8
镜像标签
Anaconda, Inc: maintainer 2024-12-18T16:04:40.718Z: org.opencontainers.image.created A full environment for EDTA: org.opencontainers.image.description : org.opencontainers.image.licenses 461baa7ba3a6df793cc8c03fc479fc4206c6049f: org.opencontainers.image.revision https://github.com/Biosoft-Self/EDTA-docker: org.opencontainers.image.source EDTA-docker: org.opencontainers.image.title https://github.com/Biosoft-Self/EDTA-docker: org.opencontainers.image.url main: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: debian 12.8 扫描引擎: Trivy 扫描时间: 2024-12-20 01:15

低危漏洞:192 中危漏洞:88 高危漏洞:53 严重漏洞:5

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main  ghcr.io/biosoft-self/edta-docker:main

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main  ghcr.io/biosoft-self/edta-docker:main

Shell快速替换命令

sed -i 's#ghcr.io/biosoft-self/edta-docker:main#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main#' 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/biosoft-self/edta-docker:main && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main  ghcr.io/biosoft-self/edta-docker:main'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/biosoft-self/edta-docker:main  ghcr.io/biosoft-self/edta-docker:main'

镜像构建历史


# 2024-12-19 00:09:04  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2024-12-19 00:09:04  3.32KB 执行命令并创建新的镜像层
RUN /bin/bash -c echo "kernel.pid_max = 4194304" >> /etc/sysctl.conf &&     echo "fs.file-max = 1000000">> /etc/sysctl.conf &&     echo "net.core.somaxconn = 32768">> /etc/sysctl.conf &&     echo "net.ipv4.tcp_tw_recycle = 0">> /etc/sysctl.conf &&     echo "net.ipv4.tcp_syncookies = 0">> /etc/sysctl.conf &&     echo "vm.overcommit_memory = 1">> /etc/sysctl.conf &&     echo "vm.swappiness = 0">> /etc/sysctl.conf &&     echo "ulimit -n 65535" >> /etc/profile &&     echo "sysctl -p" >> /etc/profile # buildkit
                        
# 2024-12-19 00:09:03  9.38GB 执行命令并创建新的镜像层
RUN /bin/bash -c apt update && apt install -yqq unzip openjdk-17-jre &&     rm -rf /var/lib/apt/lists/* && rm -rf /tmp/* &&     echo "name: EDTA2" >> EDTA_2.2.x.yml &&     echo "y"|conda env create -f EDTA_2.2.x.yml >/dev/null 2>&1 &&     conda init && source ~/.bashrc &&     conda activate EDTA2 &&     echo "y"|conda install -c conda-forge -c bioconda -c r annosine2 biopython cd-hit coreutils genericrepeatfinder genometools-genometools glob2 tir-learner ltr_finder_parallel ltr_retriever mdust multiprocess muscle openjdk perl perl-text-soundex r-base r-dplyr regex repeatmodeler r-ggplot2 r-here r-tidyr tesorter samtools bedtools LTR_HARVEST_parallel HelitronScanner >/dev/null 2>&1 &&     conda clean --all -y &&     rm -rf /tmp/* # buildkit
                        
# 2024-12-19 00:04:59  0.00B 
SHELL [/bin/bash -c]
                        
# 2024-12-19 00:04:59  0.00B 设置工作目录为/EDTA
WORKDIR /EDTA
                        
# 2024-12-19 00:04:59  192.03MB 复制文件或目录到容器中
ADD EDTA /EDTA # buildkit
                        
# 2024-12-19 00:04:59  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/envs/env/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-12-18 00:27:42  353.86MB 执行命令并创建新的镜像层
RUN |6 INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.11.1-0-Linux-x86_64.sh SHA256SUM_LINUX64=636b209b00b6673471f846581829d4b96b9c3378679925a59a584257c3fef5a3 INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.11.1-0-Linux-s390x.sh SHA256SUM_S390X=105bce6b0137f574147b8fdfd5e3a7d6c92f3ea9fbf3e0de61331ea43586e9af INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.11.1-0-Linux-aarch64.sh SHA256SUM_AARCH64=9180a2f1fab799fd76e9ef914643269dcf5bad9d455623b905b87f5d39ae140f /bin/sh -c set -x &&     UNAME_M="$(uname -m)" &&     if [ "${UNAME_M}" = "x86_64" ]; then         INSTALLER_URL="${INSTALLER_URL_LINUX64}";         SHA256SUM="${SHA256SUM_LINUX64}";     elif [ "${UNAME_M}" = "s390x" ]; then         INSTALLER_URL="${INSTALLER_URL_S390X}";         SHA256SUM="${SHA256SUM_S390X}";     elif [ "${UNAME_M}" = "aarch64" ]; then         INSTALLER_URL="${INSTALLER_URL_AARCH64}";         SHA256SUM="${SHA256SUM_AARCH64}";     fi &&     wget "${INSTALLER_URL}" -O miniconda.sh -q &&     echo "${SHA256SUM} miniconda.sh" > shasum &&     sha256sum --check --status shasum &&     mkdir -p /opt &&     bash miniconda.sh -b -p /opt/conda &&     rm miniconda.sh shasum &&     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh &&     echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc &&     echo "conda activate base" >> ~/.bashrc &&     find /opt/conda/ -follow -type f -name '*.a' -delete &&     find /opt/conda/ -follow -type f -name '*.js.map' -delete &&     /opt/conda/bin/conda clean -afy # buildkit
                        
# 2024-12-18 00:27:27  0.00B 定义构建参数
ARG SHA256SUM_AARCH64=9180a2f1fab799fd76e9ef914643269dcf5bad9d455623b905b87f5d39ae140f
                        
# 2024-12-18 00:27:27  0.00B 定义构建参数
ARG INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.11.1-0-Linux-aarch64.sh
                        
# 2024-12-18 00:27:27  0.00B 定义构建参数
ARG SHA256SUM_S390X=105bce6b0137f574147b8fdfd5e3a7d6c92f3ea9fbf3e0de61331ea43586e9af
                        
# 2024-12-18 00:27:27  0.00B 定义构建参数
ARG INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.11.1-0-Linux-s390x.sh
                        
# 2024-12-18 00:27:27  0.00B 定义构建参数
ARG SHA256SUM_LINUX64=636b209b00b6673471f846581829d4b96b9c3378679925a59a584257c3fef5a3
                        
# 2024-12-18 00:27:27  0.00B 定义构建参数
ARG INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.11.1-0-Linux-x86_64.sh
                        
# 2024-12-18 00:27:27  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2024-12-18 00:27:27  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-12-18 00:27:27  176.68MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -q &&     apt-get install -q -y --no-install-recommends         bzip2         ca-certificates         git         libglib2.0-0         libsm6         libxext6         libxrender1         mercurial         openssh-client         procps         subversion         wget     && apt-get clean     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-12-18 00:27:27  0.00B 设置环境变量 LANG LC_ALL
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
                        
# 2024-12-18 00:27:27  0.00B 添加元数据标签
LABEL maintainer=Anaconda, Inc
                        
# 2024-12-02 08:00:00  74.82MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1733097600'
                        
                    

镜像信息

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    "Id": "sha256:c1a7b5eddaa81e068d80d71aaa9e2fd684a0a5538797d11d5ca2251e8d3ac1eb",
    "RepoTags": [
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    ],
    "RepoDigests": [
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-12-18T16:09:04.677982985Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/envs/env/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "LC_ALL=C.UTF-8"
        ],
        "Cmd": [
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        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/EDTA",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "Anaconda, Inc",
            "org.opencontainers.image.created": "2024-12-18T16:04:40.718Z",
            "org.opencontainers.image.description": "A full environment for EDTA",
            "org.opencontainers.image.licenses": "",
            "org.opencontainers.image.revision": "461baa7ba3a6df793cc8c03fc479fc4206c6049f",
            "org.opencontainers.image.source": "https://github.com/Biosoft-Self/EDTA-docker",
            "org.opencontainers.image.title": "EDTA-docker",
            "org.opencontainers.image.url": "https://github.com/Biosoft-Self/EDTA-docker",
            "org.opencontainers.image.version": "main"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 10175225077,
    "GraphDriver": {
        "Data": {
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            "MergedDir": "/var/lib/docker/overlay2/6ad51e9b0e89d70205a77adff05b9d3894822e5fad76d6e79a172864c10aab56/merged",
            "UpperDir": "/var/lib/docker/overlay2/6ad51e9b0e89d70205a77adff05b9d3894822e5fad76d6e79a172864c10aab56/diff",
            "WorkDir": "/var/lib/docker/overlay2/6ad51e9b0e89d70205a77adff05b9d3894822e5fad76d6e79a172864c10aab56/work"
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        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
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    }
}

更多版本

ghcr.io/biosoft-self/edta-docker:main

linux/amd64 ghcr.io10.18GB2024-12-20 01:11
66