Temporal Python Testing
Seth HobsonCommunityCreated by Seth Hobson
- Skill
- Guidelines
- Software development
- MIT
- Low risk
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
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/wshobson/temporal-python-testing/downloadUnzip 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:
Unit: Workflows with time-skipping, activities with ActivityEnvironment
Integration: Workers with mocked activities
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 == expectedBasic Activity Test
from temporalio.testing import ActivityEnvironment
async def test_activity():
env = ActivityEnvironment()
result = await env.run(your_activity, "test-input")
assert result == expected_outputCoverage 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
Time-Skipping - Month-long workflows test in seconds
Mock Activities - Isolate workflow logic from external dependencies
Replay Testing - Validate determinism before deployment
High Coverage - ≥80% target for production workflows
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
- ATTRIBUTION.mdAdded by AutoGineer1007 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md4.8 KiB
- resources/integration-testing.md12.7 KiB
- resources/local-setup.md11.8 KiB
- resources/replay-testing.md12.1 KiB
- resources/unit-testing.md8.5 KiB
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
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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.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download temporal-python-testing.zip