6.2 Generate pipeline with AI

I have a Java Spring MVC application built with Maven. I need a GitHub Actions
CI/CD pipeline with the following exact flow:

1. feature branch push -> no pipeline runs
2. PR to main -> run: Maven build, unit tests, Checkstyle, SonarQube scan,
   SonarQube quality gate check. Block merge if quality gate fails.
3. merge to main -> build Docker image, push to Amazon ECR with commit SHA and latest as
   tag, then update the image and SHA tag fields in a Helm values.yaml file in a
   separate Helm GitHub repo.

Details:
- Java 21, Maven, Tomcat, WAR packaging
- SonarQube is self-hosted on EC2 (not SonarCloud), use
  sonarsource/sonarqube-scan-action@v2 and
  sonarsource/sonarqube-quality-gate-action@v1.1.0
  Use existing sonar-project.properties for sonar settings.
- Add Maven and SonarQube dependency caching to speed up PR builds
- Dockerfile is at Docker-files/app/multistage/Dockerfile
- ECR repository name: vprofileappimg, region: us-east-1
- Helm repo name: vprofile-helm, values file path: helm/vprofile/values.yaml
- The values.yaml has an app.image and app.tag field that need to be updated using yq
- Use GitHub secrets: SONAR_TOKEN, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY,
  HELM_REPO_USER, GITOPS_PAT
- Pass ECR registry and image tag between jobs using job outputs
- The docker and helm jobs must NOT run on PRs, only on push to main