Why is replay testing necessary for Temporal workflows?

Replay testing ensures that your workflow code remains deterministic. It validates that updated code can still successfully process existing event histories from production without throwing non-deterministic errors.

How does time-skipping work in Temporal Python testing?

Time-skipping uses a specialized WorkflowEnvironment that automatically advances the clock when a workflow is blocked on a timer or sleep, allowing tests for long-running processes to complete in milliseconds.

Can I test activities in isolation without a full workflow?

Yes, this skill provides patterns using Temporal's ActivityEnvironment to run and test activities individually, allowing you to mock inputs and verify outputs in a controlled environment.

What is the recommended test coverage for Temporal projects?

A target of ≥80% logic coverage is recommended for both workflows and activities to ensure critical paths and error handling scenarios are fully validated before deployment.

Temporal Python Testing

Name: Temporal Python Testing
Author: HermeticOrmus

byHermeticOrmus

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セキュリティとテスト

Streamlines Temporal workflow testing in Python through automated time-skipping, activity mocking, and determinism validation.

This skill equips developers with a comprehensive framework for testing Temporal workflows using the Python SDK and pytest. It addresses the unique challenges of testing distributed stateful systems by providing standardized patterns for time-skipping long-running workflows, mocking external activities for isolated unit tests, and performing replay testing to ensure code changes maintain determinism. By integrating these strategies, developers can achieve high test coverage and ensure production reliability for complex orchestration logic.

主な機能

01Advanced activity mocking and environment simulation using ActivityEnvironment

02Determinism validation via production history replay testing

03Automated time-skipping for fast execution of long-running workflows

04Pre-configured pytest fixtures for rapid local development setup

05CI/CD integration patterns for automated testing pipelines

062 GitHub stars

ユースケース

01Testing month-long subscription or trial workflows in seconds

02Validating workflow determinism before deploying code changes to production

03Mocking external API dependencies to isolate workflow logic during integration tests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/libreuiux-claude-code temporal-python-testing

For use in Claude.ai and ChatGPT

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