自动创建harbor项目目录

config/create_harbor_project.json

+{
+  "project_name": "k8s",
+
+  "public": 1
+}

script/k8s/add_node.sh

@@ -169,3 +169,10 @@ kubectl get csr|grep 'Pending' | awk 'NR>0{print $1}'| xargs kubectl certificate
 #######################开机启动#############################################################
 #######################开机启动#############################################################
 ansible new_node -m shell -a "systemctl enable kubelet.service"
 ansible new_node -m shell -a "systemctl enable kubelet.service"
 ansible new_node -m shell -a "systemctl enable kube-proxy.service"
 ansible new_node -m shell -a "systemctl enable kube-proxy.service"
+######################为新添加节点设置lable#################################################
+echo "分发kubectl以及kubeconfig，使node节点可以执行kubectl命令"
+ansible new_node -m copy -a "src=/usr/bin/kubectl dest=/usr/bin/kubectl mode-777"
+ansible new_node -m shell -a "mkdir /root/.kube/ -pv"
+ansible new_node -m copy -a "src=/root/.kube/config  dest=/root/.kube/config mode=777"
+echo "根据自己的节点类型通过kubectl打标签"
+ansible new_node -m shell -a 'if [ `lspci  |grep -i nvidia|wc -l` -gt 0 ]; then echo "本机是gpu节点，开始打标签" && kubectl label node `hostname`; else echo "cpu节点安装docker"&& apt install docker-ce --allow-unauthenticated  -y ; fi'

script/k8s/deploy-gpu-k8s.sh

@@ -13,6 +13,17 @@ interface=eno1 #本机内网IP的物理网卡名称，用于flannel的配置。
 image_list=`cat $image_path/image_list.txt`
 image_list=`cat $image_path/image_list.txt`
 image_list_ksy=`cat $image_path/image_list_ksy.txt`
 image_list_ksy=`cat $image_path/image_list_ksy.txt`
 host_name=`hostname`
 host_name=`hostname`
+harbor_user_name=admin
+harbor_passwd=admin
+harbor_auth_token=$(echo -n "${harbor_user_name}:${harbor_passwd}"| base64
+harbor_project_list=(
+k8s
+kpl_k8s
+core
+seetaas
+autodl
+autodl_workspace
+)
 #############################单节点nfs，则nfs server和nfs path配置一致，如果是三节点nfs，则配置nfs真实信息################
 #############################单节点nfs，则nfs server和nfs path配置一致，如果是三节点nfs，则配置nfs真实信息################
 NFS_SERVER=192.168.1.53
 NFS_SERVER=192.168.1.53
 NFS_PATH=/opt/registry/
 NFS_PATH=/opt/registry/
@@ -427,8 +438,13 @@ ansible master -m shell -a "service docker restart"
 echo "解压harbor到/usr/local/目录"
 echo "解压harbor到/usr/local/目录"
 tar -xvzf /root/k8s/package/harbor_aly.tar.gz -C /usr/local/
 tar -xvzf /root/k8s/package/harbor_aly.tar.gz -C /usr/local/
 cd /usr/local/harbor/ && sed -i s/harbor_host/$harbor_host/g harbor.cfg && ./prepare && ./install.sh && echo "harbor安装成功"
 cd /usr/local/harbor/ && sed -i s/harbor_host/$harbor_host/g harbor.cfg && ./prepare && ./install.sh && echo "harbor安装成功"
-echo "您的harbor服务器访问地址为:$harbor_host,请创建harbor所项目目录:k8s kpl_k8s    core   autodl   seetaas  autodl-workspace 您有90s的时间"
-sleep 90
+echo "自动创建harbor项目目录" && sleep 3
+for project in ${harbor_project_list[@]}
+do
+curl -k -X POST -H "Authorization: Basic ${harbor_auth_token}" "http://${harbor_host}/api/projects" -H "accept: application/json" -H "Content-Type: application/json" -d '{"project_name": "'${project}'" ,"public": 1}'
+done
+echo "您的harbor服务器访问地址为:$harbor_host,已经自动创建harbor所项目目录:k8s 、kpl_k8s 、core 、autodl、seetaas、autodl-workspace"
+sleep 4
 docker login $harbor_host -uadmin -p$harbor_passwd
 docker login $harbor_host -uadmin -p$harbor_passwd
 ###########################推送私有镜像到harbor仓库#######
 ###########################推送私有镜像到harbor仓库#######
 echo "####################开始执行镜像导入###########################"
 echo "####################开始执行镜像导入###########################"