Can I run a full Temporal server locally for testing?

Yes, this skill provides guidance on setting up a local Temporal server using Docker Compose for end-to-end testing scenarios.

Why is replay testing necessary for Temporal?

Replay testing ensures that code changes do not break determinism. It validates that the new code can still successfully recreate the state of existing workflow histories from production.

How does time-skipping benefit Temporal testing?

Time-skipping allows you to simulate the passage of hours, days, or months instantly, enabling you to test long-running workflows in a matter of milliseconds.

What is the recommended approach for Temporal activity testing?

The recommended approach is to use ActivityEnvironment for unit tests to isolate the activity logic and then use workers with mocked activities for integration tests.

Temporal Python Testing

Name: Temporal Python Testing
Author: Microck

byMicrock

•

安全与测试

Implements comprehensive testing strategies for Temporal workflows in Python using pytest, time-skipping, and determinism validation.

This skill provides specialized guidance for testing Temporal applications using the Python SDK, focusing on high-velocity feedback through time-skipping and robust reliability via replay testing. It helps developers implement unit, integration, and end-to-end tests by providing domain-specific patterns for mocking activities, injecting errors, and configuring local development environments. By following the included best practices, teams can achieve over 80% logic coverage and ensure workflow determinism before deploying changes to production.

主要功能

01Time-skipping support for instant testing of long-running workflows

02Comprehensive coverage strategies for workflows and activities

03Activity mocking strategies to isolate workflow logic

04Async pytest fixtures for streamlined workflow environment setup

052 GitHub stars

06Determinism validation through production history replay testing

使用场景

01Validating workflow code changes against production histories to prevent non-deterministic errors

02Automating Temporal testing pipelines within CI/CD environments

03Testing complex business logic in month-long workflows within seconds

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck temporal-python-testing

For use in Claude.ai and ChatGPT

主要功能

01Time-skipping support for instant testing of long-running workflows

02Comprehensive coverage strategies for workflows and activities

03Activity mocking strategies to isolate workflow logic

04Async pytest fixtures for streamlined workflow environment setup

052 GitHub stars

06Determinism validation through production history replay testing

使用场景

01Validating workflow code changes against production histories to prevent non-deterministic errors

02Automating Temporal testing pipelines within CI/CD environments

03Testing complex business logic in month-long workflows within seconds

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck temporal-python-testing

For use in Claude.ai and ChatGPT