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.

How does time-skipping help in Temporal testing?

It allows you to test workflows that would normally take days or months in just seconds by advancing the virtual clock, providing immediate feedback on long-running logic.

Can I use this skill for both unit and integration tests?

Yes, it provides specific patterns for both, including mocking activities for integration tests and using WorkflowEnvironment for isolated unit tests.

What is replay testing in Temporal?

Replay testing validates that changes to your workflow code won't break existing, running workflows by replaying historical event logs from production against the new code version.

Does this skill help with local environment setup?

Yes, it includes resources for configuring local Temporal servers via Docker Compose and setting up pytest for automated execution.

Temporal Python Testing

Name: Temporal Python Testing
Author: as4584

byas4584

0•

安全与测试

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

This skill provides specialized guidance for testing Python-based Temporal workflows, enabling developers to write high-coverage unit and integration tests. It streamlines complex testing scenarios like time-skipping for long-running workflows, mocking external activities, and performing replay tests to ensure determinism. By integrating with pytest and local Temporal environments, it helps teams maintain high code coverage and prevents breaking changes in production histories by validating workflow logic against real execution data.

主要功能

01Comprehensive activity mocking and error injection strategies

02Determinism validation through production history replay testing

030 GitHub stars

04Pre-configured pytest fixtures for Temporal environments

05Local development setup guidance using Docker Compose

06Advanced time-skipping for fast execution of long-running workflows

使用场景

01Verifying workflow determinism before deploying code changes to production

02Setting up a CI/CD pipeline for automated Temporal workflow testing

03Testing a month-long workflow logic in milliseconds using time-skipping

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add as4584/antigravity-skills temporal-python-testing

For use in Claude.ai and ChatGPT

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