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You mentioned that you fought with flaky tests. Can you tell more about that?

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Answer from AI

Flaky tests are tests that sometimes pass and sometimes fail without any changes in the code or test environment. I have encountered them in projects with UI automation and integration tests.

The main causes of flaky tests I have dealt with:

  • Dependence on unstable external services or data.
  • Timing issues: asynchronous operations, delays in loading elements.
  • Improper cleanup of state between tests.
  • Parallel execution of tests causing race conditions.

How I addressed them:

  • Introduced explicit waits instead of fixed delays.
  • Used mocking of external services to eliminate instability.
  • Rewrote tests to be isolated and independent.
  • Added logs and screenshots on failures for analysis.
  • Implemented reruns of tests with a limit on the number of attempts.

Example of waiting for an element in Selenium with Python:

from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

wait = WebDriverWait(driver, 10)
element = wait.until(EC.visibility_of_element_located((By.ID, 'submit-button')))
element.click()

This approach significantly reduced false failures and increased the stability of the test suite.

You mentioned that you fought with flaky tests. Can… - sobes.tech