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

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. 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)

3. 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.