What is time-skipping in Temporal Python testing?

Time-skipping allows you to test workflows that wait for long periods (weeks or months) in a matter of seconds by advancing the test environment's internal clock.

How do I isolate workflow logic from external services?

This skill provides patterns for activity mocking, allowing you to replace external dependencies with controlled mocks during integration testing.

Can I use this with standard pytest suites?

Yes, the skill is built around pytest and provides async fixtures specifically designed to work with the Temporal Python SDK.

Why is replay testing important for Temporal?

Replay testing ensures that changes to your workflow code do not break determinism, which is essential for Temporal's ability to recover state after failures.

Temporal Python Testing

Name: Temporal Python Testing
Author: HermeticOrmus

byHermeticOrmus

Seguridad y Pruebas

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

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The Temporal Python Testing skill provides a comprehensive framework for validating distributed workflows and activities. It guides users through various testing tiers, from fast unit tests utilizing time-skipping for long-running processes to complex integration tests and determinism-focused replay testing. By offering standardized pytest patterns, activity mocking strategies, and local development configurations, this skill helps developers achieve high test coverage and ensure workflow reliability before production deployment.

Características Principales

Sophisticated activity mocking to isolate workflow orchestration logic
Replay testing to validate determinism against production history
Workflow time-skipping for near-instant testing of long-running processes
0 GitHub stars
Pre-configured pytest fixtures for Temporal environments
Comprehensive local development and CI/CD setup guides

Casos de Uso

Setting up automated testing suites in backend CI/CD pipelines
Ensuring determinism when updating production workflow code
Testing complex workflow logic that involves long wait periods

Acerca de

Características Principales

Sophisticated activity mocking to isolate workflow orchestration logic
Replay testing to validate determinism against production history
Workflow time-skipping for near-instant testing of long-running processes
0 GitHub stars
Pre-configured pytest fixtures for Temporal environments
Comprehensive local development and CI/CD setup guides

Casos de Uso

Setting up automated testing suites in backend CI/CD pipelines
Ensuring determinism when updating production workflow code
Testing complex workflow logic that involves long wait periods