更新以及优化推送预处理镜像脚本

script/harbor/autodl-workspace-push.sh

+#!/bin/bash
+#wangtingwei
+harbor_host=192.168.1.32:5000
+harbor_passwd=admin
+image_path=/root/workspace_image
+for image in `ls $image_path`
+do 
+echo "开始导入镜像到本地"
+#docker load -i $image_path/$image
+done
+echo "开始给镜像打tag"
+image_name=(
+autodl/tensorflow:1.8.0-py3 
+hb.seetatech.com/autodl-workspace/pytorch:cpu-py3-v1.2.0 
+hb.seetatech.com/autodl-workspace/pytorch:cuda10.0-py3-v1.2.0 
+hb.seetatech.com/autodl-workspace/pytorch:cpu-py3-v0.4.1 
+hb.seetatech.com/autodl-workspace/pytorch:cuda9.2-py3-v0.4.1
+hb.seetatech.com/autodl-workspace/tensorflow:cpu-py3-v1.5.0
+hb.seetatech.com/autodl-workspace/tensorflow:gpu-py3-v1.5.0
+hb.seetatech.com/autodl-workspace/tensorflow:cpu-py3-v1.8.0
+hb.seetatech.com/autodl-workspace/tensorflow:gpu-py3-v1.8.0
+hb.seetatech.com/autodl-workspace/tensorflow:cpu-py3-v1.14.0
+hb.seetatech.com/autodl-workspace/tensorflow:gpu-py3-v1.14.0
+)
+for i in ${image_name[@]}
+do
+z=`echo $i |awk -F / '{print $3}'`
+echo $z
+#docker tag $i $harbor_host/autodl-workspace/$z
+#docker login $harbor_host -u admin -p $harbor_passwd
+#docker push $harbor_host/autodl-workspace/$z
+done
+

script/harbor/harbor-install.sh

+#!/bin/bash
+harbor_host=192.168.1.32:5000
+echo "解压harbor到/usr/local/目录"
+tar -xvzf /root/k8s/package/harbor_aly.tar.gz -C /usr/local/
+cd /usr/local/harbor/ && sed -i s/harbor_host/$harbor_host/g harbor.cfg && ./prepare && ./install.sh
+
+

script/harbor/k8s-internal-service-push.sh

+#!/bin/bash
+#王庭威
+#用于推送k8s以及业务pod所需的基础镜像，这些镜像一般更新频率很低，所以放在gitlab上做归档。需要部署直接git clone下载镜像执行脚本即可。
+harbor_host=192.168.1.32:5000
+harbor_passwd=admin
+image_path=/root/k8s/images
+for image in `ls $image_path`
+do 
+echo "开始导入镜像到本地"
+docker load -i $image_path/$image
+done
+echo "开始给镜像打tag"
+docker tag autodl/image-proxy:v0.9.0 $harbor_host/k8s/image-proxy:v0.9.0
+docker tag autodl/ubuntu-basic:16.04 $harbor_host/k8s/ubuntu-basic:16.04
+docker tag coredns/coredns:1.5.0 $harbor_host/k8s/coredns:1.5.0
+docker tag nvidia/k8s-device-plugin:1.10 $harbor_host/k8s/k8s-device-plugin:1.10
+docker tag busybox:1.28.3 $harbor_host/k8s/busybox:1.28.3
+docker tag registry.cn-hangzhou.aliyuncs.com/google-containers/pause-amd64:3.0 $harbor_host/k8s/pause-amd64:3.0
+docker tag nginx:latest $harbor_host/k8s/nginx:latest
+docker tag nvidia/cuda:10.0-base-ubuntu16.04 $harbor_host/k8s/cuda:10.0-base-ubuntu16.04
+echo "开始推送镜像到harbor"
+docker login $harbor_host -u admin -p $harbor_passwd
+docker push $harbor_host/k8s/image-proxy:v0.9.0 
+docker push $harbor_host/k8s/ubuntu-basic:16.04
+docker push $harbor_host/k8s/coredns:1.5.0
+docker push $harbor_host/k8s/k8s-device-plugin:1.10
+docker push $harbor_host/k8s/busybox:1.28.3
+docker push $harbor_host/k8s/pause-amd64:3.0
+docker push $harbor_host/k8s/nginx:latest
+docker push $harbor_host/k8s/cuda:10.0-base-ubuntu16.04
+

script/harbor/seetaas-operator-pull-push.sh

+#!/bin/bash
+#王庭威
+# pull参数用于下载更新预处理器镜像以及导出镜像为压缩包、push参数为tag镜像以及推送镜像到私有仓库
+# 如果预处理不需要支持jupter，则除了operator镜像外，其他镜像文件注释。
+harbor_host=192.168.1.56:5000
+harbor_passwd=admin
+image_path=/root/operater-images
+base_url=hb.seetatech.com/k8s
+image_name=(
+operator:0.1.13
+#operator-python:0.0.1
+#seetaas/dragon:0.3.0.dev20191121-cuda10.0-ubuntu16.04
+#autodl-workspace/pytorch:cuda9.2-py3-v0.4.1
+#autodl-workspace/pytorch:cuda10.0-py3-v1.2.0
+#autodl-workspace/tensorflow:gpu-py3-v1.14.0
+#autodl-workspace/tensorflow:gpu-py3-v1.5.0
+autodl-workspace/tensorflow:gpu-py3-v1.8.0
+)
+####################################################
+pull_save() {
+echo "开始下载列表镜像"
+for image in ${image_name[@]}
+do
+docker pull $base_url/$image
+done
+echo "开始导出镜像"
+test -d $image_path || mkdir -pv $image_path
+for img in ${image_name[@]} 
+do
+docker save $base_url/$img -o $image_path/$img.tar.gz
+done
+}
+#####################################################
+tag_push() {
+for image in `ls $image_path`
+do 
+echo "开始导入镜像到本地"
+docker load -i $image_path/$image
+done
+echo "开始给镜像打tag"
+for i in ${image_name[@]}
+do
+echo $i
+docker tag hb.seetatech.com/k8s/$i $harbor_host/k8s/$i
+echo "开始仓库登录"
+docker login $harbor_host -u admin -p $harbor_passwd
+echo "开始推送镜像到私有部署仓库"
+docker push $harbor_host/k8s/$i
+done
+}
+#####################################################
+case $1 in
+push)
+  tag_push
+  ;;
+pull)
+  pull_save
+  ;;
+*)
+  echo "please input (pull|push)"
+esac
+
+