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temporal-python-testing

Test Temporal Python workflows with unit, integration, and replay testing.

4|Updated Jan 10, 2026
Search Tags:#workflow#testing#python#temporal#determinism#activity#replay
One-click install
npx skills add https://github.com/EngineerWithAI/engineerwith-agents --skill temporal-python-testing-engineerwithai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: temporal-python-testing
Source: https://github.com/EngineerWithAI/engineerwith-agents/tree/main/plugins/backend-development/skills/temporal-python-testing
Command: npx skills add https://github.com/EngineerWithAI/engineerwith-agents --skill temporal-python-testing-engineerwithai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of testing Temporal Python workflows and activities, ensuring reliability and determinism through advanced techniques like time-skipping and mocking.

Core Features & Use Cases

  • Unit Testing: Write fast, isolated tests for workflows and activities using WorkflowEnvironment and ActivityEnvironment.
  • Integration Testing: Test workflows with mocked external dependencies and complex scenarios.
  • Replay Testing: Validate workflow determinism and code changes against production histories.
  • Local Development Setup: Configure a local Temporal server using Docker Compose for seamless testing.
  • Use Case: You've just updated a Temporal workflow. Use this Skill to write comprehensive tests, including replay tests against production data, to ensure your changes are backward-compatible and don't introduce non-deterministic behavior before deploying to production.

Quick Start

Use the temporal-python-testing skill to set up a local Temporal server using Docker Compose.

Frequently Asked Questions about temporal-python-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test Temporal Python workflows for determinism?▼

Testing Temporal Python workflows for determinism involves using replay testing to validate code changes against production histories. This ensures modifications are backward-compatible and do not introduce non-deterministic behavior during execution.

What is the best way to unit test Temporal Python activities?▼

Unit testing Temporal Python activities is best achieved using ActivityEnvironment. This allows you to write fast, isolated tests by mocking external dependencies and complex scenarios without needing a full server.

How does time-skipping work in Temporal Python workflow tests?▼

Time-skipping in Temporal Python workflow tests works by using WorkflowEnvironment to automatically advance time. This allows you to quickly test long-running workflows and timers without waiting for real time to pass.

Do I need Docker Compose to set up a local Temporal server for testing?▼

You need Docker Compose to set up a local Temporal server for integration testing. This configuration provides a seamless environment for testing workflows with mocked external dependencies locally before deployment.

Why should I use replay testing for Temporal workflow updates?▼

Replay testing for Temporal workflow updates validates determinism against historical data. It ensures code changes are backward-compatible, preventing non-deterministic behavior from breaking running production workflows.

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