What is replay testing in the context of Temporal?

Replay testing is the process of running updated workflow code against existing event histories from production to ensure the new code remains deterministic and won't cause failures when deployed.

Can I test activities separately from workflows?

Yes, this skill provides patterns using ActivityEnvironment to run and assert activity results in isolation without the overhead of starting a full workflow.

What is the recommended test coverage for Temporal workflows?

For production-grade Temporal applications, it is recommended to aim for at least 80% logic coverage for both workflows and activities, complemented by replay tests for all active versions.

How does time-skipping benefit Temporal testing?

Time-skipping allows you to test long-running workflows, such as those lasting weeks or months, in a matter of milliseconds by instantly advancing the internal Temporal clock during tests.

Temporal Python Testing

Name: Temporal Python Testing
Author: GaitanS

byGaitanS

セキュリティとテスト

Implements professional testing strategies for Temporal workflows and activities using pytest, time-skipping, and mocking patterns.

概要

Temporal Python Testing provides a comprehensive framework for validating backend workflows, ensuring reliability and determinism in distributed systems. This skill enables developers to implement fast unit tests using time-skipping techniques that compress months of execution into seconds, mock external activity dependencies for isolated integration testing, and perform replay testing against production histories to prevent non-deterministic errors. It includes pre-configured pytest fixtures and progressive resources for local environment setup, CI/CD integration, and achieving high-quality coverage targets for complex orchestration logic.

主な機能

Time-skipping for near-instant testing of long-running workflows
Pre-built pytest fixtures for WorkflowEnvironment and ActivityEnvironment
Replay testing tools to validate determinism before deployment
0 GitHub stars
Activity mocking strategies to isolate workflow logic
Standardized patterns for integration and end-to-end testing

ユースケース

Setting up local Temporal development environments with Docker and pytest
Simulating a 30-day subscription workflow in a sub-second unit test
Verifying workflow determinism when refactoring production code

概要

主な機能

Time-skipping for near-instant testing of long-running workflows
Pre-built pytest fixtures for WorkflowEnvironment and ActivityEnvironment
Replay testing tools to validate determinism before deployment
0 GitHub stars
Activity mocking strategies to isolate workflow logic
Standardized patterns for integration and end-to-end testing

ユースケース

Setting up local Temporal development environments with Docker and pytest
Simulating a 30-day subscription workflow in a sub-second unit test
Verifying workflow determinism when refactoring production code