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Temporal Python Testing

Seth HobsonCommunityCreated by Seth Hobson

  • Skill
  • Guidelines
  • Software development
  • MIT
  • Low risk

From the author

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
— the description by Seth Hobson

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to testing Temporal workflows within the Python ecosystem. It covers the full testing lifecycle, from unit testing individual components with time-skipping to integration testing with mocked activities and validating workflow determinism via replay testing. The content emphasizes fast feedback loops and high coverage targets, offering specific patterns for local development and CI/CD integration.

What it does

  • Provides patterns for unit testing workflows using time-skipping environments.
  • Explains how to mock activities for isolated integration testing.
  • Outlines methods for validating workflow determinism through replay testing.
  • Offers guidance on setting up local Temporal development environments.
  • Defines best practices for achieving high test coverage in Temporal applications.
  • Includes boilerplate code for pytest fixtures and activity testing.

When to use it

  • When implementing a new test suite for Temporal workflows.
  • When debugging non-deterministic workflow failures.
  • When setting up a local development environment for Temporal.
  • When preparing workflows for production deployment with replay validation.
  • When optimizing test execution time for long-running workflows.

Advantages

  • Enables testing of long-running workflows in seconds via time-skipping.
  • Promotes isolation of workflow logic from external dependencies.
  • Ensures production reliability through determinism validation.
  • Provides a clear path for achieving 80% test coverage.
  • Supports both rapid local development and automated CI/CD pipelines.

Usage examples

“How do I test a workflow that runs for a month?”
The skill explains how to use WorkflowEnvironment.start_time_skipping to advance time manually, allowing month-long workflows to complete in seconds during testing.
“How can I mock an activity in my workflow test?”
The skill provides integration testing patterns that demonstrate how to use workers with mocked activities to isolate the workflow logic.
“How do I ensure my workflow changes are deterministic?”
The skill guides you through replay testing, which validates your current workflow code against historical execution data to ensure determinism.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/wshobson/temporal-python-testing/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip temporal-python-testing.zip -d .agents/skills

Documentation by Seth Hobson

Temporal Python Testing Strategies

Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.

When to Use This Skill

  • Unit testing workflows - Fast tests with time-skipping

  • Integration testing - Workflows with mocked activities

  • Replay testing - Validate determinism against production histories

  • Local development - Set up Temporal server and pytest

  • CI/CD integration - Automated testing pipelines

  • Coverage strategies - Achieve ≥80% test coverage

Testing Philosophy

Recommended Approach (Source: docs.temporal.io/develop/python/testing-suite):

  • Write majority as integration tests

  • Use pytest with async fixtures

  • Time-skipping enables fast feedback (month-long workflows → seconds)

  • Mock activities to isolate workflow logic

  • Validate determinism with replay testing

Three Test Types:

  1. Unit: Workflows with time-skipping, activities with ActivityEnvironment

  2. Integration: Workers with mocked activities

  3. End-to-end: Full Temporal server with real activities (use sparingly)

Available Resources

This skill provides detailed guidance through progressive disclosure. Load specific resources based on your testing needs:

Unit Testing Resources

File: resources/unit-testing.md When to load: Testing individual workflows or activities in isolation Contains:

  • WorkflowEnvironment with time-skipping

  • ActivityEnvironment for activity testing

  • Fast execution of long-running workflows

  • Manual time advancement patterns

  • pytest fixtures and patterns

Integration Testing Resources

File: resources/integration-testing.md When to load: Testing workflows with mocked external dependencies Contains:

  • Activity mocking strategies

  • Error injection patterns

  • Multi-activity workflow testing

  • Signal and query testing

  • Coverage strategies

Replay Testing Resources

File: resources/replay-testing.md When to load: Validating determinism or deploying workflow changes Contains:

  • Determinism validation

  • Production history replay

  • CI/CD integration patterns

  • Version compatibility testing

Local Development Resources

File: resources/local-setup.md When to load: Setting up development environment Contains:

  • Docker Compose configuration

  • pytest setup and configuration

  • Coverage tool integration

  • Development workflow

Quick Start Guide

Basic Workflow Test
import pytest
from temporalio.testing import WorkflowEnvironment
from temporalio.worker import Worker

@pytest.fixture
async def workflow_env():
    env = await WorkflowEnvironment.start_time_skipping()
    yield env
    await env.shutdown()

@pytest.mark.asyncio
async def test_workflow(workflow_env):
    async with Worker(
        workflow_env.client,
        task_queue="test-queue",
        workflows=[YourWorkflow],
        activities=[your_activity],
    ):
        result = await workflow_env.client.execute_workflow(
            YourWorkflow.run,
            args,
            id="test-wf-id",
            task_queue="test-queue",
        )
        assert result == expected
Basic Activity Test
from temporalio.testing import ActivityEnvironment

async def test_activity():
    env = ActivityEnvironment()
    result = await env.run(your_activity, "test-input")
    assert result == expected_output

Coverage Targets

Recommended Coverage (Source: docs.temporal.io best practices):

  • Workflows: ≥80% logic coverage

  • Activities: ≥80% logic coverage

  • Integration: Critical paths with mocked activities

  • Replay: All workflow versions before deployment

Key Testing Principles

  1. Time-Skipping - Month-long workflows test in seconds

  2. Mock Activities - Isolate workflow logic from external dependencies

  3. Replay Testing - Validate determinism before deployment

  4. High Coverage - ≥80% target for production workflows

  5. Fast Feedback - Unit tests run in milliseconds

How to Use Resources

Load specific resource when needed:

  • "Show me unit testing patterns" → Load resources/unit-testing.md

  • "How do I mock activities?" → Load resources/integration-testing.md

  • "Setup local Temporal server" → Load resources/local-setup.md

  • "Validate determinism" → Load resources/replay-testing.md

Additional References

  • Python SDK Testing: docs.temporal.io/develop/python/testing-suite

  • Testing Patterns: github.com/temporalio/temporal/blob/main/docs/development/testing.md

  • Python Samples: github.com/temporalio/samples-python

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

What our scanner noticed· Low risk

  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Seth Hobson
Publisher
Seth Hobson (Community)
Source
wshobson/agents · plugins/backend-development/skills/temporal-python-testing · commit 4bde316
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Seth Hobson or Seth Hobson.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download temporal-python-testing.zip