What is the recommended test coverage for Temporal projects?

The skill follows Temporal best practices, recommending at least 80% logic coverage for both workflows and activities.

How does this skill handle long-running workflows?

It utilizes time-skipping features to test workflows that span weeks or months in just a few seconds, providing immediate feedback.

What testing frameworks are supported by this skill?

The skill is specifically optimized for Python's pytest framework, leveraging async fixtures and the Temporal Python SDK testing suite.

Can I use this for production determinism checks?

Yes, it includes specific guidance for replay testing, allowing you to validate code changes against existing production history.

Does this skill help with initial environment setup?

Yes, it provides resources for local development setup, including Docker Compose configurations and pytest environment variables.

Temporal Python Testing

Name: Temporal Python Testing
Author: Microck

byMicrock

•

安全与测试

Optimizes Temporal workflow testing in Python using pytest, time-skipping, and comprehensive mocking strategies.

The Temporal Python Testing skill provides a comprehensive framework for validating Temporal workflows and activities. It streamlines the testing lifecycle by offering specialized guidance on time-skipping for long-running workflows, mocking external dependencies, and performing replay tests to ensure determinism. Whether you are setting up a local development environment with Docker or integrating automated tests into a CI/CD pipeline, this skill provides the patterns needed to achieve high-quality, reliable production code with recommended coverage targets of 80% or higher.

主要功能

01Local development configuration for Docker Compose and pytest

02Advanced time-skipping for testing month-long workflows in seconds

03Integration testing patterns with activity mocking and error injection

04Replay testing resources to validate determinism against production history

0581 GitHub stars

06Isolated unit testing for both workflows and individual activities

使用场景

01Standardizing testing patterns across a Python-based Temporal engineering team

02Accelerating the testing of complex, long-running business processes

03Ensuring workflow determinism before deploying updates to production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills temporal-python-testing

For use in Claude.ai and ChatGPT

Download Skill