AutomationExercise UI + API Automation (Python + Pytest + Playwright)

UI automation framework for practicing end-to-end testing on: https://automationexercise.com/

Tech Stack

• Language: Python
• Test Runner: pytest
• Browser Automation: Playwright (Python)
• Test Data: Faker
• Config: python-dotenv (.env)
• Reporting: Playwright HTML report (optional: Allure)

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Project Structure

├─ config/ │ └─ settings.py # base_url / headless settings ├─ data/ │ ├─ models.py # dataclasses for test data │ └─ user_factory.py # Faker-based user generator ├─ pages/ │ ├─ base_page.py # base page object │ ├─ home_page.py # home page actions/assertions │ ├─ login_page.py # login/signup actions/assertions │ └─ account_page.py # account page assertions ├─ tests/ │ └─ ui/ │ ├─ test_smoke_home.py │ └─ test_signup_login.py ├─ utils/ │ └─ helpers.py # common helpers (optional) ├─ conftest.py # pytest fixtures (base_url, playwright config) ├─ pytest.ini # pytest config + markers ├─ requirements.txt └─ README.md

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Setup

1)Create and activate virtual environment: python -m venv .venv source .venv/bin/activate 2) Install dependencies pip install -r requirements.txt 3) Install Playwright browsers playwright install

Configuration

Create a .env file in the project root (or copy from .env.example): BASE_URL=https://automationexercise.com HEADLESS=true BASE_URL – site under test HEADLESS – true/false to run headless or headed

###Running Tests Run all tests: pytest

Run smoke tests only: pytest -m smoke

Run with headed browser: HEADLESS=false pytest

Run a single test file: pytest tests/ui/test_signup_login.py

Reporting

Option A: Playwright HTML report pytest --html=reports/report.html --self-contained-html

Option B: Allure Install: pip install allure-pytest Run with Allure results: pytest --alluredir=allure-results

Generate and open report: allure serve allure-results

###Notes / Best Practices: Use unique emails for signup tests to avoid Email Address already exist!. Keep stable locators (prefer data-qa, get_by_role, and visible text where stable). Page Object Model keeps tests readable and reduces locator duplication. For long E2E flows, mark as @pytest.mark.regression and keep smoke suite fast.