How do you design the structure of a system for automating testing?

When designing a system structure for test automation, the following aspects should be considered:

• Modularity: divide tests into independent modules or classes to facilitate maintenance and expansion.
• Reusability: create common functions and libraries for repetitive actions.
• Test data management: provide a convenient way to store and load data (e.g., through JSON files, CSV, or databases).
• Logging and reporting: integrate mechanisms for logging and generating reports on test results.
• Integration with CI/CD: ensure the ability to run tests automatically upon code changes.
• Tool selection: choose suitable frameworks and libraries (e.g., pytest, Selenium, JUnit).

Example project structure:

tests/           # test scenarios
  test_login.py
  test_checkout.py
pages/           # page descriptions (Page Object)
  login_page.py
  checkout_page.py
utils/           # auxiliary functions
  db_utils.py
  api_client.py
config/          # configuration files
reports/         # test reports

This approach facilitates maintenance and scaling of automation.