Does this skill help with CI/CD integration?

Absolutely. It includes patterns for automated testing pipelines, including coverage strategies and replay checks that should be run before any deployment.

Can I use this skill to mock external dependencies?

Yes, this skill provides specific strategies for mocking activities, allowing you to isolate and test workflow logic without calling actual external services or databases.

What is time-skipping in Temporal testing?

Time-skipping is a feature in the Temporal test environment that allows you to advance the virtual clock, enabling workflows that would take days or weeks to complete in real-time to finish in seconds during testing.

Why is replay testing important for Temporal workflows?

Replay testing ensures that changes to your workflow code do not break determinism. If a workflow is no longer deterministic, it cannot successfully resume from its history, leading to production failures.

Temporal Python Testing

Name: Temporal Python Testing
Author: HermeticOrmus

byHermeticOrmus

セキュリティとテスト

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

概要

This skill provides a comprehensive framework for testing Temporal workflows in Python, addressing the unique challenges of distributed systems like non-determinism and long-running processes. It guides developers through setting up pytest environments with time-skipping capabilities to test month-long workflows in seconds, mocking external activities for isolated unit tests, and performing replay testing to ensure production safety. By leveraging these patterns, developers can achieve high test coverage and maintain reliable, deterministic backend orchestrations in complex distributed environments.

主な機能

Standardized patterns for unit, integration, and end-to-end tests
Pre-configured pytest fixtures for local and CI/CD environments
Activity mocking strategies to isolate workflow logic from external systems
Determinism validation through automated replay testing
0 GitHub stars
Advanced time-skipping for fast execution of long-running workflows

ユースケース

Setting up local development environments with Docker and pytest integration
Developing fast unit tests for complex, time-dependent business workflows
Validating workflow determinism before deploying code changes to production

概要

主な機能

Standardized patterns for unit, integration, and end-to-end tests
Pre-configured pytest fixtures for local and CI/CD environments
Activity mocking strategies to isolate workflow logic from external systems
Determinism validation through automated replay testing
0 GitHub stars
Advanced time-skipping for fast execution of long-running workflows

ユースケース

Setting up local development environments with Docker and pytest integration
Developing fast unit tests for complex, time-dependent business workflows
Validating workflow determinism before deploying code changes to production