Python Testing & TDD Patterns FAQs

Question 1

Why focus on boundary testing instead of internal implementation?

Accepted Answer

Boundary testing focuses on the contracts between layers (like Service to Repository). This ensures modules interact correctly while preventing tests from becoming brittle when internal logic changes.

Question 2

Does it support API testing?

Accepted Answer

Yes, it includes specific patterns for Router layer testing using tools like FastAPI's TestClient to validate request validation, response serialization, and status codes.

Question 3

Which Python testing frameworks are supported?

Accepted Answer

This skill is specifically optimized for pytest, including its advanced features like fixtures, markers, parametrization, and the unittest.mock library.

Question 4

How does this skill handle database testing?

Accepted Answer

It provides patterns for Repository layer testing using real test databases (such as in-memory SQLite) via SQLAlchemy and dedicated pytest fixtures to ensure data integrity.

Question 5

What is Stub-Driven TDD?

Accepted Answer

Stub-Driven TDD is a workflow where you first define function signatures (stubs), write failing tests against those signatures, implement the logic to make the tests pass, and finally refactor for quality.

Python Testing & TDD Patterns

Key Features

Use Cases

Python Testing & TDD Patterns

Key Features

Use Cases