How to organize a test in PyTest to check its ability to automatically repair in the future?

To organize a test in PyTest with self-healing capabilities, it is recommended to use approaches that allow the test to adapt to UI or environment changes:

• Use resilient locators (e.g., by unique attributes rather than positions or text).
• Implement a retry mechanism using the pytest-rerunfailures plugin.
• Log errors and save information for analysis.
• Use Page Object patterns to centrally change locators.
• For automatic repair, integrate a system that analyzes the cause when a test fails (e.g., locator change) and attempts to update it in the code or configuration.

Example of using retries in PyTest:

import pytest

@pytest.mark.flaky(reruns=3, reruns_delay=2)
def test_example():
    assert some_unstable_function() == expected_value

Full self-healing usually requires additional infrastructure, such as screenshot analysis, AI for element recognition, and updating tests based on this analysis.