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Vertex Tuning Generator / Editor

A single page application for GCP VertexAI tuning dataset generator.

Reference Documentation

VertexAI Model tuning

VertexAI Model tuning documentation

Fine tuning use cases

Sample dataset (from tuning document)

Gemini 2.0 training dataset

Gemini 2.0 validation dataset

Use online

Online Application on Github pages

Development

Project Setup

npm install

Compile and Hot-Reload for Development

npm run dev

Test and coverage report

Report at ./coverage, sonar will use the lcov on ./coverage/lcov.info.

npm run test:coverage

Contributing

Contributions are welcome!

Code must pass quality standards to process deploy.

📋 Code Quality Standards

All pull requests must pass the following quality gates in SonarQube before being merged:

Reliability Rating: A
Security Rating: A
Maintainability Rating: A
Minimum coverage requirement: 80%
Maximum allowed duplicated code: 3%

> Note: You can monitor the analysis results in the PR checks and on SonarCloud

GitHub Actions

This repository has GitHub Actions configured to help maintain code quality and automate deployments:

Pull Requests to main:
Automatically trigger a SonarQube scan, unit test and generate a code coverage report.
Gemini Code Assist bot will automatically review and comment on the pull request based on the scan results.

Pushes to main:
Automatically trigger a SonarQube scan, unit test and generate a code coverage report.
If the quality gate passes, the site is automatically deployed to GitHub Pages.

Links

License

This project is licensed under the MIT License.

--- Tranlated By Open Ai Tx | Last indexed: 2025-08-27 ---

Original README: View on GitHub