init

vw-agentic-rag/deploy/prd/deploy.sh

@@ -0,0 +1,33 @@
+
+# login AKS
+az cloud set --name AzureCloud   # Switch CLI to Azure cloud
+# az login                              # Log in to Azure China account (browser or device code flow)
+az account set -s 079d8bd8-b4cc-4892-9307-aa6dedf890e9 #! set subs
+az aks get-credentials -g rg-aiflow-lab -n aks-aiflow-lab --overwrite-existing --file ~/.kube/config
+####
+kubectl config use-context aks-aiflow-lab
+kubectl config current-context
+
+docker build . -t agentic-rag:1.0.16
+docker tag agentic-rag:1.0.16 acrsales2caiprd.azurecr.cn/agentic-rag:1.0.16
+docker push acrsales2caiprd.azurecr.cn/agentic-rag:1.0.16
+
+# kubectl create namespace knowledge-agent
+
+kubectl delete configmap agentic-rag-config -n knowledge-agent
+kubectl create configmap agentic-rag-config -n knowledge-agent --from-file=./deploy/prd/config.yaml --from-file=llm_prompt.yaml
+
+kubectl delete deployment agentic-rag -n knowledge-agent
+# kubectl delete ingress agentic-rag-ingress -n knowledge-agent  # 注释掉，不要删除生产 Ingress
+kubectl apply -f deploy/prd/k8s-manifest.yml -n knowledge-agent
+
+# restart deployment
+kubectl rollout restart deployment agentic-rag -n knowledge-agent
+
+kubectl rollout status deployment/agentic-rag -n knowledge-agent
+kubectl get deployment agentic-rag -o wide -n knowledge-agent
+kubectl get pods -l app=agentic-rag -o wide -n knowledge-agent
+
+# Monitor logs
+kubectl logs -f deployment/agentic-rag  -n knowledge-agent
+