AI test generation pipeline demo

This repository is a demo showcasing the integration of AI in development pipelines. Using GitHub Actions and ChatGPT, this project automatically generates unit tests from Python code. The workflow creates a new branch with the recommended unit tests and opens a pull request for review. This demonstration highlights the potential of AI to assist in software development by automating test creation, thus improving efficiency and code quality.

Setup

1. Configure GitHub Actions:

   • In your project, go to Settings > Actions > General
   • Scroll down to Workflow permissions
   • Make sure that Read and write permissions and Allow GitHub Actions to create and approve pull requests are checked

2. Add your ChatGPT API key:

   • Go to Settings > Secrets and variables > Actions > New repository secret
   • Make sure that the secret is named CHATGPT_API_KEY, otherwise the workflow wont use it

Usage

1. Create a development branch:

       git checkout -b dev

2. Add some functions:

   • Create new functions to a new python-file
   • In this demo you can uncomment the first function in code_to_be_tested.py file to simulate new functions

3. Push changes:

   git add .
   git commit -m "Add new functions"
   git push origin dev

After pushig you new code, GitHub Actions workflow is started that generates unit tests for your new python function file or code_to_be_tested.py using ChatGPT, and then creates a pull request with the recommended tests once they've been tested that they work.

Files that are used for test generation and testing can be found at test-gen