cloudbuild.yaml

steps:
  # Step 1: Build and push Docker image to Container Registry
  - name: 'gcr.io/cloud-builders/docker'
    args: ['build', '-t', 'gcr.io/$PROJECT_ID/music-recommender:$COMMIT_SHA', '--push', '.']
    env:
      - 'PROJECT_ID=$PROJECT_ID'
      - 'MODEL_NAME=${_MODEL_NAME}'
      - 'ENDPOINT_NAME=${_ENDPOINT_NAME}'
      - 'REGION=${_REGION}'
      - 'SERVICE_NAME=${_SERVICE_NAME}'

  # Step 2: Deploy the Docker image to Cloud Run
  - name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
    entrypoint: gcloud
    args:
    - 'run'
    - 'deploy'
    - 'music-recommender'
    - '--image'
    - 'gcr.io/$PROJECT_ID/music-recommender:$COMMIT_SHA'
    - '--region'
    - '${_REGION}'
    - '--platform'
    - 'managed'

  # Step 3: Deploy Vertex AI Pipeline
  - name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
    entrypoint: /bin/bash
    args:
    - '-c'
    - |
      python deployment/deploy_pipeline.py --platform vertex --project_id $PROJECT_ID --region ${_REGION} --output_file pipeline.yaml
    env:
      - 'MODEL_NAME=${_MODEL_NAME}'
      - 'ENDPOINT_NAME=${_ENDPOINT_NAME}'
      - 'REGION=${_REGION}'
      - 'SERVICE_NAME=${_SERVICE_NAME}'
      - 'STORAGE_BUCKET=${_STORAGE_BUCKET}'
      - 'PIPELINE_NAME=${_PIPELINE_NAME}'

  # Step 4: Trigger model retraining if needed (Vertex AI monitoring and retraining)
  - name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
    entrypoint: /bin/bash
    args:
    - '-c'
    - |
      python vertex_ai_monitoring.py --project_id $PROJECT_ID --model_name ${_MODEL_NAME} --gcs_input 'gs://$STORAGE_BUCKET/data/' --pipeline_name ${_PIPELINE_NAME} --notification_channel ${_NOTIFICATION_CHANNEL}
    env:
      - 'PROJECT_ID=$PROJECT_ID'
      - 'MODEL_NAME=${_MODEL_NAME}'
      - 'ENDPOINT_NAME=${_ENDPOINT_NAME}'
      - 'REGION=${_REGION}'
      - 'STORAGE_BUCKET=${_STORAGE_BUCKET}'
      - 'TRIGGER_ID=${_TRIGGER_ID}'
      - 'NOTIFICATION_CHANNEL=${_NOTIFICATION_CHANNEL}'

substitutions:
  _PROJECT_ID: 'your-project-id'
  _MODEL_NAME: 'your-model-name'
  _ENDPOINT_NAME: 'your-endpoint-name'
  _REGION: 'us-central1'  
  _SERVICE_NAME: 'your-cloud-run-service'
  _STORAGE_BUCKET: 'your-storage-bucket'
  _TRIGGER_ID: 'your-cloud-build-trigger-id'
  _NOTIFICATION_CHANNEL: 'your-notification-channel-id'
  _PIPELINE_NAME: 'your-pipeline-name'
  _CANARY_TRAFFIC_PERCENT: '10'

logsBucket: gs://$PROJECT_ID-cloudbuild-logs