0
0
Testing Fundamentalstesting~8 mins

Flaky test management in Testing Fundamentals - Framework Patterns

Choose your learning style9 modes available
Framework Mode - Flaky test management
Folder Structure for Flaky Test Management
flaky-test-project/
├── tests/
│   ├── stable/
│   │   └── test_login.py
│   ├── flaky/
│   │   └── test_payment_retry.py
│   └── __init__.py
├── utils/
│   ├── flaky_handler.py
│   ├── retry_decorator.py
│   └── __init__.py
├── config/
│   ├── environments.yaml
│   └── settings.yaml
├── reports/
│   └── latest_report.html
├── conftest.py
└── pytest.ini
Test Framework Layers for Flaky Test Management
  • Test Layer: Contains test cases separated into stable and flaky folders to isolate flaky tests.
  • Utility Layer: Includes helpers like retry_decorator.py to rerun flaky tests automatically and flaky_handler.py to mark or log flaky tests.
  • Configuration Layer: Holds environment and test settings to control test runs and retries.
  • Reporting Layer: Generates test reports highlighting flaky test results for easy review.
  • Test Runner Layer: Uses pytest with plugins or custom hooks to manage flaky test retries and reporting.
Configuration Patterns for Flaky Test Management
  • Retry Settings: Define retry count and delay in pytest.ini or settings.yaml to control how many times flaky tests rerun before failing.
  • Environment Variables: Use environment flags to enable or disable flaky test retries during CI or local runs.
  • Marking Flaky Tests: Use decorators or markers (e.g., @pytest.mark.flaky) to identify flaky tests clearly.
  • Logging: Configure detailed logs for flaky test runs to analyze failure patterns.
Test Reporting and CI/CD Integration
  • Flaky Test Reports: Generate separate reports or highlight flaky tests in main reports to track their stability over time.
  • CI/CD Integration: Configure pipelines to rerun flaky tests automatically and fail builds only after retries are exhausted.
  • Notifications: Send alerts for flaky test failures to the team for investigation.
  • Trend Analysis: Store historical flaky test data to identify patterns and improve test reliability.
Best Practices for Flaky Test Management
  1. Isolate Flaky Tests: Keep flaky tests separate from stable ones to avoid blocking the whole test suite.
  2. Use Automatic Retries: Implement retries with limits to reduce false failures without hiding real issues.
  3. Mark and Track: Clearly mark flaky tests and track their history to prioritize fixing them.
  4. Analyze Root Causes: Regularly review flaky test failures to find and fix underlying problems.
  5. Keep Tests Simple and Reliable: Design tests to minimize external dependencies and timing issues that cause flakiness.
Self Check Question

Where in this folder structure would you add a new utility to log flaky test retries?

Key Result
Separate flaky tests, use retries, mark clearly, and track to manage flaky test reliability.