Temporal Python Testing Strategies

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

• 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

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

Unit Testing Resources

resources/unit-testing.md

• 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

resources/integration-testing.md

• Activity mocking strategies
• Error injection patterns
• Multi-activity workflow testing
• Signal and query testing
• Coverage strategies

Replay Testing Resources

resources/replay-testing.md

• Determinism validation
• Production history replay
• CI/CD integration patterns
• Version compatibility testing

Local Development Resources

resources/local-setup.md

• 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

• 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

• "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