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Auto Generate Test Cases

A Python-based AI testing system that leverages AutoGen framework and multiple AI agents to automatically analyze requirements and generate test cases.

Features

  • 📝 Automated requirement analysis using AI
  • 🤖 Multi-agent system powered by AutoGen framework
  • 📋 Configurable test case templates and formats
  • 📊 Excel export with customizable formatting
  • 🔄 Support for multiple document formats (PDF, Word, Markdown, Text)
  • ⚙️ Extensible architecture for future enhancements

Installation

  1. Clone the repository:
git clone <repository-url>
cd ai-test-case-generator
  1. Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Configure the system:
  • Copy the sample configuration file:
cp config.json.example config.json
  • Update the configuration with your OpenAI API key and other settings in config.json

Project Structure

src/ ├── agents/ # AutoGen-based AI agents │ ├── requirement_analyst.py │ ├── test_designer.py │ ├── test_case_writer.py │ ├── quality_assurance.py │ └── assistant.py ├── services/ # Core services │ ├── document_processor.py │ ├── test_case_generator.py │ └── export_service.py ├── models/ # Data models │ ├── test_case.py │ └── template.py ├── utils/ # Utilities │ ├── logger.py │ └── config.py └── main.py # Application entry point

Usage

  1. Start the system:

    python src/main.py

  2. Input:

  • Requirements document (PDF, Word, Markdown, or Text)
  • Template configuration (optional)
  1. Output:
  • Excel file containing generated test cases
  • Logs in the logs directory

Configuration

The system can be configured through config.json. Key configuration options:

  • openai_api_key: Your OpenAI API key
  • log_level: Logging level (INFO, DEBUG, etc.)
  • templates_dir: Directory for test case templates
  • output_dir: Directory for generated files
  • Agent-specific configurations (model, temperature, etc.)

Example

from main import AITestingSystem import asyncio

async def main(): system = AITestingSystem() result = await system.process_requirements( doc_path="requirements.pdf", template_id="default_template", output_path="test_cases.xlsx" ) print("Test cases generated successfully!")

if name == "main": asyncio.run(main())

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.