What is time-skipping in Temporal testing?

Time-skipping allows you to execute and test long-running workflows that might span months or years in just a few seconds by advancing a virtual clock.

Does this skill work with standard pytest?

Yes, it is fully optimized for pytest, providing async fixtures and configuration patterns specifically for the Temporal Python SDK.

What is the target test coverage for Temporal workflows?

The skill follows industry best practices, aiming for at least 80% logic coverage for both workflows and activities to ensure production reliability.

Can I use this for unit testing individual activities?

Yes, it includes guidance on using ActivityEnvironment to test activities in isolation with mocked context and inputs.

How do I validate workflow determinism?

The skill provides Replay Testing resources that allow you to run your updated workflow logic against existing production history to ensure no non-deterministic changes occur.

Temporal Python Testing

Name: Temporal Python Testing
Author: simplysmartai

bysimplysmartai

0•

安全与测试

Streamlines testing of Temporal workflows and activities in Python using time-skipping, mocking, and determinism validation.

This skill provides a comprehensive framework for testing Temporal workflows in Python, utilizing pytest to ensure reliable and deterministic distributed systems. It guides developers through various testing levels—from fast unit tests with time-skipping capabilities to integration tests with mocked activities and replay testing for production-level determinism. It is essential for building resilient backend services that require high test coverage and validation of complex workflow logic without waiting for real-time execution.

主要功能

010 GitHub stars

02Replay testing resources to ensure workflow determinism

03Pre-configured pytest fixtures for async workflow environments

04Activity mocking strategies to isolate and test workflow logic

05Local development setup with Docker and coverage tool integration

06Advanced time-skipping for testing long-running workflows in seconds

使用场景

01Simulating activity failures and error injection in integration tests

02Testing complex long-running workflows with fast-forward time-skipping

03Validating workflow determinism before deploying code changes to production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add simplysmartai/5cypressautomation temporal-python-testing

For use in Claude.ai and ChatGPT

Download Skill