Is this compatible with standard Python testing tools?

Yes, the skill is built around the pytest framework and utilizes standard async testing patterns compatible with the Temporal Python SDK.

How does time-skipping benefit my Temporal tests?

Time-skipping allows you to advance the virtual clock in the Temporal environment, meaning workflows that would normally take weeks to complete can be fully tested in a matter of seconds.

Can I mock external API calls within my workflows?

Absolutely. This skill includes patterns for activity mocking, allowing you to isolate your workflow logic from external dependencies like APIs or databases during testing.

What is the recommended test coverage for Temporal workflows?

This skill follows industry best practices recommending at least 80% logic coverage for both workflows and activities to ensure production stability.

Does this skill help with determinism errors?

Yes, it provides specific resources for replay testing, which allows you to run your updated code against existing execution histories to ensure no non-deterministic changes were introduced.

Temporal Python Testing

Name: Temporal Python Testing
Author: duanbiao2000

byduanbiao2000

0•

Seguridad y Pruebas

Implements robust testing strategies for Temporal workflows using pytest, time-skipping, and comprehensive activity mocking.

This skill provides specialized guidance for testing Temporal workflows in Python, ensuring the reliability of complex distributed systems. It facilitates fast feedback loops by utilizing time-skipping for long-running processes, enables isolated testing through advanced activity mocking, and prevents breaking changes with determinism-focused replay testing. By offering structured patterns for unit, integration, and end-to-end testing, this skill helps developers maintain high code quality and confidence when deploying mission-critical workflows.

Características Principales

01Accelerated testing of long-running workflows via time-skipping

02Pre-configured pytest fixtures and async environment setups

03Determinism validation using production history replay testing

04Automated coverage strategies for workflows and activities

050 GitHub stars

06Activity mocking strategies to isolate workflow logic from side effects

Casos de Uso

01Testing month-long business processes in seconds using virtual time

02Setting up local development environments with Docker and pytest

03Validating workflow determinism before deploying updates to production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add duanbiao2000/obsidiandoc26 temporal-python-testing

For use in Claude.ai and ChatGPT

Download Skill