API Test Automation Meme

🎯 Project Overview

A Python-based API test automation framework designed for testing the Meme Maker API. This framework demonstrates a robust approach to API testing, providing tools for functional, regression, and performance testing.

🌟 Key Features

• API Testing: Comprehensive validation of API endpoints and responses
• Load Testing: Performance evaluation using Locust
• Rich Reporting: Detailed test reports with Allure
• Structured Logging: Custom logging configuration
• Data-Driven Testing: Separation of test data from test logic

🛠️ Technical Stack

Category	Technology
Language	Python 3.9+
Testing Framework	pytest
Load Testing	Locust
Reporting	Allure
Version Control	Git

📋 Prerequisites

• Python 3.9 or higher
• pip (Python package installer)
• Git
• Allure (for reporting)

🚀 Quick Start

1. Clone the Repository

git clone https://github.com/Summerduck/api-test-automation-meme.git
cd api-test-automation-meme

2. Set Up Virtual Environment

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Run Tests

# Run all tests
pytest

# Generate and view Allure report
allure serve test-report

# Run load tests
locust -f locustfiles/locustfile.py --host=http://167.172.172.115:52355

📊 Test Categories

Category	Description	Command
API Tests	Functional API testing	pytest
Load Tests	Performance and load testing	locust -f locustfiles/locustfile.py

📁 Project Structure

api-test-automation-meme/
├── data/                  # Test data files
│   └── ...  
├── endpoints/             # API endpoint definitions
│   └── ...  
├── locustfiles/           # Locust load testing scripts
│   └── ...  
├── tests/                 # Test cases
│   └── ...  
├── .gitignore
├── LICENSE
├── README.md
├── api_documentation.md   # API documentation
├── conftest.py            # Pytest configuration
├── pytest.ini             # Pytest settings
├── requirements.txt       # Python dependencies
├── rlogger.py             # Custom logging configuration
└── test-report/           # Allure test reports

🎯 Highlights

• API-focused Architecture: Purpose-built for API testing
• Clean Code: Maintainable, well-documented test suites
• Performance Testing: Built-in capabilities for load testing
• Detailed Reporting: Comprehensive test result visualization

🔜 Future Enhancements

• Docker containerization
• Jenkins CI/CD integration
• Security testing integration
• Extended performance metrics

📝 Author

Darya Samardak - LinkedIn - GitHub

📄 License

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