Python Testing Strategies FAQs

Question 1

Is it possible to filter and run specific test groups?

Accepted Answer

Yes, the skill includes guidance on configuring custom markers in pytest.ini and using CLI arguments to run specific subsets like 'slow', 'integration', or 'unit' tests.

Question 2

Does this skill support asynchronous Python testing?

Accepted Answer

Yes, it includes comprehensive patterns for testing asynchronous code using pytest-asyncio, including async fixtures and awaiting mocked functions.

Question 3

What testing methodology does this skill promote?

Accepted Answer

It strictly follows the Test-Driven Development (TDD) cycle: writing a failing test (Red), implementing minimal code (Green), and then improving the code (Refactor).

Question 4

How does the skill handle code coverage requirements?

Accepted Answer

The skill establishes a baseline target of 80% code coverage, requiring 100% coverage for critical paths, and provides the specific pytest-cov commands needed to measure these metrics.

Question 5

Can I use this for complex mocking of external dependencies?

Accepted Answer

Absolutely. It provides strategies for mocking functions, class instances, properties, and context managers using unittest.mock and autospec to catch API misuse.

Python Testing Strategies

Key Features

Use Cases

Python Testing Strategies

Key Features

Use Cases