Does this skill help with test-driven development (TDD)?

Absolutely. It provides the structural guidance and implementation patterns necessary to effectively write tests before code in a TDD workflow.

Can I use this skill for testing asynchronous Python code?

Yes, it includes specific patterns and best practices for testing async functions and concurrent operations using tools like pytest-asyncio.

What testing frameworks does this skill support?

This skill primarily focuses on pytest, the industry-standard testing framework for Python, along with the built-in unittest.mock library for dependency isolation.

Is mocking external APIs covered?

Yes, the skill includes detailed examples of using mocks and patches to simulate external services, REST APIs, and database connections to ensure test isolation.

Python Testing Patterns

Name: Python Testing Patterns
Author: HermeticOrmus

byHermeticOrmus

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보안 및 테스팅

Implement robust testing strategies using pytest, fixtures, and mocking to ensure high-quality, reliable Python codebases.

소개

This skill provides a comprehensive framework for implementing reliable testing suites in Python applications. It guides users through the full spectrum of testing methodologies, from fundamental unit tests using the Arrange-Act-Assert (AAA) pattern to advanced concepts like asynchronous testing, property-based testing, and complex dependency mocking. Designed for developers looking to improve code reliability, it offers standardized patterns for fixtures, parameterization, and exception handling, ensuring your test infrastructure is both scalable and maintainable within modern CI/CD pipelines.

주요 기능

Advanced pytest implementation including scoped fixtures and parameterization
1 GitHub stars
Support for testing asynchronous code and concurrent operations
Guidance for implementing Test-Driven Development (TDD) workflows
Comprehensive mocking strategies for external APIs and database dependencies
Standardized testing patterns using the Arrange-Act-Assert (AAA) methodology

사용 사례

Building a comprehensive unit and integration test suite for a new Python service
Isolating code under test by mocking external service dependencies and APIs
Refactoring legacy codebases using TDD to ensure feature parity and stability

소개

주요 기능

Advanced pytest implementation including scoped fixtures and parameterization
1 GitHub stars
Support for testing asynchronous code and concurrent operations
Guidance for implementing Test-Driven Development (TDD) workflows
Comprehensive mocking strategies for external APIs and database dependencies
Standardized testing patterns using the Arrange-Act-Assert (AAA) methodology

사용 사례

Building a comprehensive unit and integration test suite for a new Python service
Isolating code under test by mocking external service dependencies and APIs
Refactoring legacy codebases using TDD to ensure feature parity and stability