Project Readme 📖

Goal 🎯

Automate feature file generation, test scenario analysis, and provide machine learning-driven insights for test performance.

Core Functionality 🔍

• Generate 🛠️: Transform user stories to Cucumber feature files.
• Analyze 📊: Identify patterns in tests for code reuse.
• Store 💾: Keep test outcomes in MongoDB; evaluate similarity with Qdrant.
• Track 🏷️: Label and monitor test case results for future ML use.

To Do:

https://github.com/mkhorasani/Streamlit-Authenticator

Suggestions 🤔

For enhancements or feedback, please open an issue in the project's issue tracker.

Contributing 👨‍💻

Contributions are welcome. Please fork the repository, make your changes, and submit a pull request.

Installation for Developers 💻

To set up the project in developer mode:

git clone https://github.com/nullzero-live/CucumberGPT
cd CucumberGPT
pip install -e .