🧪 E-commerce Test Automation Framework

A scalable test automation framework for API and UI testing, built with Python, pytest, Playwright, and Requests.
This project demonstrates modern QA practices including Page Object Model, data-driven testing, CI/CD, and Allure reporting.

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🚀 Features

✅ API Testing

• REST API testing using requests
• Reusable API client layer
• Schema validation using dataclasses
• Token-based authentication
• Request/response logging with Allure attachments

✅ UI Testing

• Playwright-based automation
• Page Object Model (POM)
• Reusable base page
• Screenshot capture on failure
• Validation layer for assertions

✅ Test Design

• Data-driven testing (JSON + Faker)
• Pytest markers:
  • sanity
  • smoke
  • regression
• Dependency-based test flows

✅ Reporting & Logging

• Allure Reports (logs, screenshots, API details)
• Custom logging system
• Automatic request/response tracking

✅ CI/CD

• GitHub Actions pipeline
• Dockerized test execution
• Allure report published via GitHub Pages

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📊 Test Report

👉 View Allure Report

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📁 Project Structure

ecommerce-test-framework/
│
├── api/ # API clients, schemas, tests
├── ui/ # UI pages and tests
├── utils/ # Helpers, logger, data generator
├── config/ # Configuration files
├── data/ # Test data
├── .github/workflows/ # CI/CD pipeline
├── Dockerfile
├── docker-compose.yml
└── pytest.ini

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⚙️ Installation

git clone https://github.com/<your-username>/ecommerce-test-framework.git
cd ecommerce-test-framework

pip install -r requirements.txt
playwright install

▶️ Running Tests

• Run all tests
  pytest
• Run API tests
  pytest api/tests
• Run UI tests
  pytest ui/tests
• Run by marker
  pytest -m smoke pytest -m regression
• 🐳 Run with Docker
  docker compose up --build

📊 Allure Report (Local)

pytest --alluredir=allure-results
allure serve allure-results

⚠️ API Limitations

This framework uses https://dummyjson.com as a mock API.

• Some endpoints (e.g., DELETE) do not persist data
• Responses may differ from real production APIs

The framework still uses correct HTTP methods (GET, POST, PUT, DELETE) to reflect real-world API design.

🧩 Tech Stack

Python
pytest
Playwright
Requests
Allure Reporting
Docker
GitHub Actions

🧠 Design Principles

Page Object Model (POM)
Separation of concerns
Reusable API client architecture
Data-driven testing
Scalable and maintainable structure

👨‍💻 Author

Vitalii Koliuka GitHub: https://github.com/VitaliiKoliuka LinkedIn: https://www.linkedin.com/in/vitalii-koliuka-1389a8251

🎯 Purpose

This project is part of my QA automation portfolio, demonstrating practical experience with modern testing tools, frameworks, and CI/CD integration.