forked from xiaohei/taiji-AI-PAD
131 lines
3.9 KiB
Bash
Executable File
131 lines
3.9 KiB
Bash
Executable File
#!/bin/bash
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# AKS 部署脚本
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# 使用方法: ./deploy.sh <ACR_NAME> <AKS_RESOURCE_GROUP> <AKS_CLUSTER_NAME>
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set -e
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# 颜色输出
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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NC='\033[0m' # No Color
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# 检查参数
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if [ $# -lt 3 ]; then
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echo -e "${RED}错误: 缺少参数${NC}"
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echo "使用方法: $0 <ACR_NAME> <AKS_RESOURCE_GROUP> <AKS_CLUSTER_NAME>"
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echo "示例: $0 myregistry myresourcegroup myakscluster"
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exit 1
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fi
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ACR_NAME=$1
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AKS_RESOURCE_GROUP=$2
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AKS_CLUSTER_NAME=$3
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echo -e "${GREEN}开始部署到 AKS...${NC}"
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echo "ACR 名称: $ACR_NAME"
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echo "资源组: $AKS_RESOURCE_GROUP"
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echo "AKS 集群: $AKS_CLUSTER_NAME"
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# 检查 kubectl 是否安装
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if ! command -v kubectl &> /dev/null; then
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echo -e "${RED}错误: kubectl 未安装${NC}"
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exit 1
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fi
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# 检查 az 是否安装
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if ! command -v az &> /dev/null; then
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echo -e "${RED}错误: Azure CLI 未安装${NC}"
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exit 1
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fi
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# 获取 AKS 凭据
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echo -e "${YELLOW}获取 AKS 集群凭据...${NC}"
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az aks get-credentials --resource-group $AKS_RESOURCE_GROUP --name $AKS_CLUSTER_NAME --overwrite-existing
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# 检查是否已连接到集群
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if ! kubectl cluster-info &> /dev/null; then
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echo -e "${RED}错误: 无法连接到 AKS 集群${NC}"
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exit 1
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fi
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# 创建命名空间
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echo -e "${YELLOW}创建命名空间...${NC}"
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kubectl apply -f namespace.yaml
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# 创建 ACR 拉取密钥（如果需要）
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echo -e "${YELLOW}配置 ACR 访问...${NC}"
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# 检查 AKS 是否已附加 ACR
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ACR_ATTACHED=$(az aks show -n $AKS_CLUSTER_NAME -g $AKS_RESOURCE_GROUP --query "servicePrincipalProfile" -o tsv)
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if [ -z "$ACR_ATTACHED" ]; then
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echo "附加 ACR 到 AKS..."
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az aks update -n $AKS_CLUSTER_NAME -g $AKS_RESOURCE_GROUP --attach-acr $ACR_NAME
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else
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echo "ACR 已附加，跳过..."
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fi
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# 创建 Secret（提示用户）
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echo -e "${YELLOW}请确保已创建 Secret:${NC}"
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echo " kubectl create secret generic taiji-secrets --from-literal=... --namespace=taiji-ai"
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echo " 或使用 Azure Key Vault Provider"
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read -p "是否已创建 Secret? (y/n) " -n 1 -r
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echo
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if [[ ! $REPLY =~ ^[Yy]$ ]]; then
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echo -e "${RED}请先创建 Secret 后再继续${NC}"
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exit 1
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fi
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# 替换配置文件中的变量
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echo -e "${YELLOW}替换配置变量...${NC}"
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export ACR_NAME=$ACR_NAME
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# 应用 ConfigMap
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echo -e "${YELLOW}应用 ConfigMap...${NC}"
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kubectl apply -f configmap.yaml
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# 应用所有部署配置
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echo -e "${YELLOW}部署 NATS...${NC}"
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envsubst < nats-deployment.yaml | kubectl apply -f -
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echo -e "${YELLOW}部署 Model Gateway...${NC}"
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envsubst < model-gateway-deployment.yaml | kubectl apply -f -
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echo -e "${YELLOW}部署 Data Ingestion...${NC}"
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envsubst < data-ingestion-deployment.yaml | kubectl apply -f -
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echo -e "${YELLOW}部署 MCP Server...${NC}"
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envsubst < mcp-server-deployment.yaml | kubectl apply -f -
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echo -e "${YELLOW}部署监控服务...${NC}"
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kubectl apply -f monitoring-deployment.yaml
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# 等待部署完成
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echo -e "${YELLOW}等待部署就绪...${NC}"
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kubectl wait --for=condition=available --timeout=300s deployment/nats -n taiji-ai || true
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kubectl wait --for=condition=available --timeout=300s deployment/litellm-gateway -n taiji-ai || true
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kubectl wait --for=condition=available --timeout=300s deployment/data-ingestion -n taiji-ai || true
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kubectl wait --for=condition=available --timeout=300s deployment/mcp-server -n taiji-ai || true
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# 应用 Ingress（可选）
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read -p "是否部署 Ingress? (y/n) " -n 1 -r
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echo
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if [[ $REPLY =~ ^[Yy]$ ]]; then
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echo -e "${YELLOW}部署 Ingress...${NC}"
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kubectl apply -f ingress.yaml
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fi
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# 显示部署状态
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echo -e "${GREEN}部署完成！${NC}"
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echo ""
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echo "查看部署状态:"
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echo " kubectl get pods -n taiji-ai"
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echo " kubectl get services -n taiji-ai"
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echo " kubectl get ingress -n taiji-ai"
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echo ""
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echo "查看日志:"
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echo " kubectl logs -f deployment/mcp-server -n taiji-ai"
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echo " kubectl logs -f deployment/litellm-gateway -n taiji-ai"
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echo " kubectl logs -f deployment/data-ingestion -n taiji-ai"
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