deploy-waf.yml

name: Validate WAF Deployment v4

permissions:
  id-token: write
  contents: read
  actions: read
on:
  push:
    branches:
      - main
    paths:
      - 'src/**'
      - 'infra/**'
      - 'azure.yaml'
      - 'azure_custom.yaml'
      - '.github/workflows/deploy-waf.yml'
  schedule:
    - cron: "0 11,23 * * *" # Runs at 11:00 AM and 11:00 PM GMT

jobs:
  deploy:
    runs-on: ubuntu-latest
    environment: production
    env:
      GPT_MIN_CAPACITY: 1
      O4_MINI_MIN_CAPACITY: 1
      GPT41_MINI_MIN_CAPACITY: 1
    steps:
      - name: Checkout Code
        uses: actions/checkout@v4

      - name: Login to Azure
        uses: azure/login@v2
        with:
          client-id: ${{ secrets.AZURE_CLIENT_ID }}
          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}

      - name: Run Quota Check
        id: quota-check
        env:
          AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
          GPT_MIN_CAPACITY: ${{ env.GPT_MIN_CAPACITY }}
          O4_MINI_MIN_CAPACITY: ${{ env.O4_MINI_MIN_CAPACITY }}
          GPT41_MINI_MIN_CAPACITY: ${{ env.GPT41_MINI_MIN_CAPACITY }}
          AZURE_REGIONS: ${{ vars.AZURE_REGIONS }}
        run: |
          chmod +x infra/scripts/checkquota.sh
          if ! infra/scripts/checkquota.sh; then
            # If quota check fails due to insufficient quota, set the flag
            if grep -q "No region with sufficient quota found" infra/scripts/checkquota.sh; then
              echo "QUOTA_FAILED=true" >> $GITHUB_ENV
            fi
            exit 1  # Fail the pipeline if any other failure occurs
          fi

      - name: Send Notification on Quota Failure
        if: env.QUOTA_FAILED == 'true'
        run: |
          RUN_URL="https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"
          EMAIL_BODY=$(cat <<EOF
          {
            "body": "<p>Dear Team,</p><p>The quota check has failed, and the pipeline cannot proceed.</p><p><strong>Build URL:</strong> ${RUN_URL}</p><p>Please take necessary action.</p><p>Best regards,<br>Your Automation Team</p>"
          }
          EOF
          )

          curl -X POST "${{ secrets.AUTO_LOGIC_APP_URL }}" \
            -H "Content-Type: application/json" \
            -d "$EMAIL_BODY" || echo "Failed to send notification"

      - name: Fail Pipeline if Quota Check Fails
        if: env.QUOTA_FAILED == 'true'
        run: exit 1

      - name: Set Deployment Region
        run: |
          echo "Selected Region: $VALID_REGION"
          echo "AZURE_LOCATION=$VALID_REGION" >> $GITHUB_ENV

      - name: Install Bicep CLI
        run: az bicep install

      - name: Generate Resource Group Name
        id: generate_rg_name
        run: |
          echo "Generating a unique resource group name..."
          ACCL_NAME="macae"  # Account name as specified
          SHORT_UUID=$(uuidgen | cut -d'-' -f1)
          UNIQUE_RG_NAME="arg-${ACCL_NAME}-${SHORT_UUID}"
          echo "RESOURCE_GROUP_NAME=${UNIQUE_RG_NAME}" >> $GITHUB_ENV
          echo "Generated Resource_GROUP_PREFIX: ${UNIQUE_RG_NAME}"

      - name: Check and Create Resource Group
        id: check_create_rg
        run: |
          set -e  
          echo "Checking if resource group exists..."
          rg_exists=$(az group exists --name ${{ env.RESOURCE_GROUP_NAME }})
          if [ "$rg_exists" = "false" ]; then
            echo "Resource group does not exist. Creating..."
            az group create --name ${{ env.RESOURCE_GROUP_NAME }} --location ${{ env.AZURE_LOCATION }} || { echo "Error creating resource group"; exit 1; }
          else
            echo "Resource group already exists."
          fi

      - name: Generate Unique Solution Prefix
        id: generate_solution_prefix
        run: |
          COMMON_PART="macae"
          TIMESTAMP=$(date +%s)
          UPDATED_TIMESTAMP=$(echo $TIMESTAMP | tail -c 6)
          UNIQUE_SOLUTION_PREFIX="${COMMON_PART}${UPDATED_TIMESTAMP}"
          echo "SOLUTION_PREFIX=${UNIQUE_SOLUTION_PREFIX}" >> $GITHUB_ENV

      - name: Deploy Bicep Template
        id: deploy
        run: |
          set -e

          # Generate current timestamp in desired format: YYYY-MM-DDTHH:MM:SS.SSSSSSSZ
            current_date=$(date -u +"%Y-%m-%dT%H:%M:%S.%7NZ")

          az deployment group create \
            --resource-group ${{ env.RESOURCE_GROUP_NAME }} \
            --template-file infra/main.bicep \
            --parameters \
              solutionName=${{ env.SOLUTION_PREFIX }} \
              location="${{ env.AZURE_LOCATION }}" \
              azureAiServiceLocation='${{ env.AZURE_LOCATION }}' \
              gptModelCapacity=${{ env.GPT_MIN_CAPACITY }} \
              gpt4_1ModelCapacity=${{ env.GPT41_MINI_MIN_CAPACITY }} \
              gptReasoningModelCapacity=${{ env.O4_MINI_MIN_CAPACITY }} \
              enableTelemetry=true \
              enableMonitoring=true \
              enablePrivateNetworking=true \
              enableScalability=true \
              createdBy="Pipeline" \
              tags="{'Purpose':'Deploying and Cleaning Up Resources for Validation','CreatedDate':'$current_date'}"
              

      - name: Send Notification on Failure
        if: failure()
        run: |
          RUN_URL="https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"

          # Construct the email body
          EMAIL_BODY=$(cat <<EOF
          {
            "body": "<p>Dear Team,</p><p>We would like to inform you that the Multi-Agent-Custom-Automation-Engine-Solution-Accelerator Automation process has encountered an issue and has failed to complete successfully.</p><p><strong>Build URL:</strong> ${RUN_URL}<br> ${OUTPUT}</p><p>Please investigate the matter at your earliest convenience.</p><p>Best regards,<br>Your Automation Team</p>"
          }
          EOF
          )

          # Send the notification
          curl -X POST "${{ secrets.LOGIC_APP_URL }}" \
            -H "Content-Type: application/json" \
            -d "$EMAIL_BODY" || echo "Failed to send notification"

      - name: Get OpenAI Resource from Resource Group
        id: get_openai_resource
        run: |


          set -e
          echo "Fetching OpenAI resource from resource group ${{ env.RESOURCE_GROUP_NAME }}..."

          # Run the az resource list command to get the OpenAI resource name
          openai_resource_name=$(az resource list --resource-group ${{ env.RESOURCE_GROUP_NAME }} --resource-type "Microsoft.CognitiveServices/accounts" --query "[0].name" -o tsv)

          if [ -z "$openai_resource_name" ]; then
            echo "No OpenAI resource found in resource group ${{ env.RESOURCE_GROUP_NAME }}."
            exit 1
          else
            echo "OPENAI_RESOURCE_NAME=${openai_resource_name}" >> $GITHUB_ENV
            echo "OpenAI resource name: ${openai_resource_name}" 
          fi

      - name: Delete Bicep Deployment
        if: always()
        run: |
          set -e  
          echo "Checking if resource group exists..."
          rg_exists=$(az group exists --name ${{ env.RESOURCE_GROUP_NAME }})
          if [ "$rg_exists" = "true" ]; then
            echo "Resource group exist. Cleaning..."
            az group delete \
                --name ${{ env.RESOURCE_GROUP_NAME }} \
                --yes \
                --no-wait
            echo "Resource group deleted...  ${{ env.RESOURCE_GROUP_NAME }}"
          else
            echo "Resource group does not exists."
          fi

      - name: Wait for resource deletion to complete
        run: |


          # Add resources to the array
          resources_to_check=("${{ env.OPENAI_RESOURCE_NAME }}")

          echo "List of resources to check: ${resources_to_check[@]}"

          # Maximum number of retries
          max_retries=3

          # Retry intervals in seconds (30, 60, 120)
          retry_intervals=(30 60 120)

          # Retry mechanism to check resources
          retries=0
          while true; do
            resource_found=false

            # Get the list of resources in YAML format again on each retry
            resource_list=$(az resource list --resource-group ${{ env.RESOURCE_GROUP_NAME }} --output yaml)

            # Iterate through the resources to check
            for resource in "${resources_to_check[@]}"; do
              echo "Checking resource: $resource"
              if echo "$resource_list" | grep -q "name: $resource"; then
                echo "Resource '$resource' exists in the resource group."
                resource_found=true
              else
                echo "Resource '$resource' does not exist in the resource group."
              fi
            done

            # If any resource exists, retry
            if [ "$resource_found" = true ]; then
              retries=$((retries + 1))
              if [ "$retries" -gt "$max_retries" ]; then
                echo "Maximum retry attempts reached. Exiting."
                break
              else
                # Wait for the appropriate interval for the current retry
                echo "Waiting for ${retry_intervals[$retries-1]} seconds before retrying..."
                sleep ${retry_intervals[$retries-1]}
              fi
            else
              echo "No resources found. Exiting."
              break
            fi
          done

      - name: Purging the Resources
        if: always()
        run: |

          set -e 
          echo "Azure OpenAI: ${{ env.OPENAI_RESOURCE_NAME }}"

          # Purge OpenAI Resource
          echo "Purging the OpenAI Resource..."
          if ! az resource delete --ids /subscriptions/${{ secrets.AZURE_SUBSCRIPTION_ID }}/providers/Microsoft.CognitiveServices/locations/eastus/resourceGroups/${{ env.RESOURCE_GROUP_NAME }}/deletedAccounts/${{ env.OPENAI_RESOURCE_NAME }} --verbose; then
            echo "Failed to purge openai resource: ${{ env.OPENAI_RESOURCE_NAME }}"
          else
            echo "Purged the openai resource: ${{ env.OPENAI_RESOURCE_NAME }}"
          fi

          echo "Resource purging completed successfully"