How does this skill help with workflow determinism?

It provides detailed resources for replay testing, which validates that new workflow code is compatible with existing history, preventing non-deterministic errors in production.

Can I use this for both unit and integration testing?

Yes, the skill includes specific strategies for isolated unit tests using ActivityEnvironment and integration tests using mocked activities within a worker.

Does it support the pytest framework?

Absolutely. It includes pre-configured async fixtures, configuration patterns, and setup guidance specifically for the pytest ecosystem.

What is time-skipping in Temporal testing?

Time-skipping is a feature of the Temporal test environment that allows tests to skip through periods of inactivity or sleep, enabling month-long workflows to be tested in seconds.

Temporal Python Testing

Name: Temporal Python Testing
Author: nguyendinhquocx

bynguyendinhquocx

0•

Seguridad y Pruebas

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

Temporal Python Testing is a specialized skill designed to help developers build reliable, production-grade Temporal applications. It provides comprehensive guidance on unit, integration, and replay testing, leveraging the power of time-skipping to execute long-running workflows in milliseconds. By providing specific patterns for activity mocking and determinism checks, this skill ensures that backend workflows are robust, maintainable, and safe to deploy without breaking historical executions.

Características Principales

010 GitHub stars

02Advanced time-skipping for fast execution of long-running workflows

03Deterministic replay testing to validate production history compatibility

04Comprehensive activity mocking and dependency isolation patterns

05Coverage strategies aimed at achieving 80% logic validation

06Pre-configured pytest fixtures for rapid test environment setup

Casos de Uso

01Automating unit and integration tests for Temporal-based backend services

02Ensuring workflow determinism before deploying code changes to production

03Validating complex long-running business logic in seconds instead of days

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai temporal-python-testing

For use in Claude.ai and ChatGPT

Características Principales

010 GitHub stars

02Advanced time-skipping for fast execution of long-running workflows

03Deterministic replay testing to validate production history compatibility

04Comprehensive activity mocking and dependency isolation patterns

05Coverage strategies aimed at achieving 80% logic validation

06Pre-configured pytest fixtures for rapid test environment setup

Casos de Uso

01Automating unit and integration tests for Temporal-based backend services

02Ensuring workflow determinism before deploying code changes to production

03Validating complex long-running business logic in seconds instead of days

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai temporal-python-testing

For use in Claude.ai and ChatGPT