108 lines
3.3 KiB
Django/Jinja
108 lines
3.3 KiB
Django/Jinja
#!/bin/bash
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source ./common.sh
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echo "[INFO] === 初始化 Master 节点 ==="
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cat <<CFG > kubeadm-config.yaml
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apiVersion: kubeadm.k8s.io/v1beta3
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kind: ClusterConfiguration
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kubernetesVersion: v{{ cluster.kubernetes_version }}
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controlPlaneEndpoint: "{{ cluster.api_server_ip }}:6443"
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networking:
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podSubnet: "{{ cluster.pod_cidr }}"
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serviceSubnet: "{{ cluster.service_cidr }}"
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imageRepository: {{ registry.ip }}:{{ registry.port }}
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---
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apiVersion: kubelet.config.k8s.io/v1beta1
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kind: KubeletConfiguration
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cgroupDriver: systemd
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CFG
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# 预先检查
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kubeadm init phase preflight --config kubeadm-config.yaml --ignore-preflight-errors=all
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# 正式初始化
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# 注意：因为我们已经手动导入了镜像，不需要 kubeadm pull
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kubeadm init --config kubeadm-config.yaml --upload-certs | tee kubeadm-init.log
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mkdir -p $HOME/.kube
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cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
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chown $(id -u):$(id -g) $HOME/.kube/config
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echo "[INFO] 部署网络插件 (Calico)..."
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kubectl apply -f "$BUNDLE_ROOT/manifests/calico.yaml"
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NAMESPACE="default"
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LOCAL_REGISTRY="{{ registry.ip }}:{{ registry.port }}"
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echo "[INFO] 5. 导入离线镜像..."
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if [ -d "$IMAGES_DIR" ]; then
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for tarfile in "$IMAGE_DIR"/*.tar; do
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[ -e "$tarfile" ] || continue
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echo ""
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echo ">>> Processing $tarfile"
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# 1️⃣ 导入镜像
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ctr -n "$NAMESPACE" images import "$tarfile"
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# 2️⃣ 获取最新导入镜像（兼容老版本 ctr）
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ORIGIN_IMG=$(ctr -n "$NAMESPACE" images ls -q | head -n1)
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if [[ -z "$ORIGIN_IMG" ]]; then
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echo "❌ Failed to detect original image name, skipping..."
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continue
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fi
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echo "Original image: $ORIGIN_IMG"
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# 3️⃣ 根据 tar 文件名生成本地 registry 镜像名
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# 文件名示例：docker.io_calico_cni_v3.26.1.tar
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BASENAME=$(basename "$tarfile" .tar)
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BASENAME=${BASENAME#*_} # 去掉 registry 前缀: calico_cni_v3.26.1
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NAME_TAG=${BASENAME}
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NAME=${NAME_TAG%_*} # calico_cni
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TAG=${NAME_TAG##*_} # v3.26.1
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NEW_IMG="${LOCAL_REGISTRY}/${NAME}:${TAG}"
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echo "Retag as: $NEW_IMG"
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# 4️⃣ 打 tag
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ctr -n "$NAMESPACE" images tag "$ORIGIN_IMG" "$NEW_IMG"
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# 5️⃣ 推送到本地 registry
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ctr -n "$NAMESPACE" images push --plain-http "$NEW_IMG"
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echo "✅ Done: $NEW_IMG"
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done
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fi
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echo "[INFO] 部署本地 Registry 容器..."
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mkdir -p /opt/registry-data
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ctr images import $IMAGES_DIR/registry_2.tar
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ctr container create \
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--net-host \
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--mount type=bind,src=/opt/registry-data,dst=/var/lib/registry,options=rbind:rw \
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docker.io/library/registry:2 \
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registry-local
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nohup ctr task start registry-local &
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echo "[INFO] 部署 Storage & Virtualization..."
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# 安装 Helm
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cp "$BUNDLE_ROOT/bin/helm" /usr/local/bin/
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# NFS
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"$BUNDLE_ROOT/bin/helm" install nfs-subdir-provisioner "$BUNDLE_ROOT/charts/nfs-subdir-external-provisioner" \
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--set nfs.server={{ storage.nfs_server }} \
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--set nfs.path={{ storage.nfs_path }} \
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--set storageClass.defaultClass=true
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# KubeVirt
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kubectl apply -f "$BUNDLE_ROOT/manifests/kubevirt-operator.yaml"
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kubectl apply -f "$BUNDLE_ROOT/manifests/kubevirt-cr.yaml"
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# Multus
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kubectl apply -f "$BUNDLE_ROOT/manifests/multus-daemonset.yaml"
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echo "[INFO] 生成 Worker 加入脚本..."
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kubeadm token create --print-join-command > ../../output/join_cluster.sh
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chmod +x ../../output/join_cluster.sh
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echo "Master 部署完成！请检查 kubectl get nodes"
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