installation_script.tftpl

#!/bin/bash
az aks get-credentials --resource-group ${resourceGroup} --name ${aksName} --overwrite-existing
az acr build --registry ${registry} --image chatbot:latest ./../sample-application

az identity federated-credential create --name chatbotfederatedidentity --identity-name chatbot --resource-group ${resourceGroup} --issuer ${oidc_url} --subject system:serviceaccount:chatbot:chatbot

# Install Grafana and Grafana Tempo in the default namespace
helm repo add grafana https://grafana.github.io/helm-charts
helm repo update
helm upgrade -f microservices-tempo-values.yaml --install tempo grafana/tempo-distributed
helm upgrade -f microservices-grafana-values.yaml --install grafana grafana/grafana

kubectl create namespace chatbot --dry-run=client -o yaml | kubectl apply -f -
kubectl apply -f - <<EOF
---
apiVersion: v1
kind: ServiceAccount
metadata:
  annotations:
    azure.workload.identity/client-id: "${clientid}"
  labels:
    azure.workload.identity/use: "true"
  name: chatbot
  namespace: chatbot
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: chatbot-config
  namespace: chatbot
data:
  .env: |
    OPENAI_API_TYPE=azuread
    OPENAI_API_VERSION=2023-05-15
    OPENAI_API_BASE=${endpoint}
    CHAT_MODEL_NAME=${chat_model_name}
---
apiVersion: v1
kind: Pod
metadata:
  labels:
    run: chatbot
    azure.workload.identity/use: "true"
  name: chatbot
  namespace: chatbot
spec:
  serviceAccountName: chatbot
  containers:
  - image: ${registry}.azurecr.io/chatbot:latest
    imagePullPolicy: Always
    name: chatbot
    ports:
    - containerPort: 8501
      protocol: TCP
    volumeMounts:
    - mountPath: /app/.env
      name: chatbot-config
      subPath: .env
  volumes:
  - name: chatbot-config
    configMap:
      name: chatbot-config
---
apiVersion: v1
kind: Service
metadata:
  name: chatbot
  namespace: chatbot
spec:
  ports:
  - port: 80
    protocol: TCP
    targetPort: 8501
  selector:
    run: chatbot
  type: LoadBalancer
EOF