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temporal-python-testing — Claude Code skill for Temporal tests

Guidance for testing Temporal workflows in Python with pytest, time-skipping, activity mocks, and replay checks. Use it while building workflow tests or investigating failures.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add wshobson/agents
/plugin install backend-development@claude-code-workflows
Open on GitHub

What temporal-python-testing does

The skill covers unit, integration, and replay testing for Temporal workflows. Its examples use WorkflowEnvironment to skip time, ActivityEnvironment to run activity tests, and Worker to execute a workflow. Time-skipping lets tests exercise long-running workflows without waiting for real time.

The material is split across resources/unit-testing.md, resources/integration-testing.md, resources/replay-testing.md, and resources/local-setup.md. Topics include mocking activities, injecting errors, testing signals and queries, checking determinism, and configuring pytest with Docker Compose. Install it if you work on Python projects that use Temporal; it has little to offer projects without Temporal.

What it helps with

  • test a workflow with time-skipping
  • isolate workflow logic by mocking activities
  • run an activity test with ActivityEnvironment
  • check workflow determinism against execution history
  • set up a local Temporal and pytest environment

Example prompts for the agent

  • Show me a unit test for a workflow that skips time.
  • How can I mock activities and test error handling?
  • How do I check workflow determinism before deployment?

How to install temporal-python-testing

1Plugin marketplace

/plugin marketplace add wshobson/agents
/plugin install backend-development@claude-code-workflows

2Skills CLI (Vercel)

npx skills add wshobson/agents --skill temporal-python-testing -a claude-code

3Manually: put the files in place

~/.claude/skills/temporal-python-testing/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/temporal-python-testing/

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Questions about temporal-python-testing

How do I install temporal-python-testing in Claude Code?

Run npx skills add wshobson/agents --skill temporal-python-testing -a claude-code.

What does temporal-python-testing do?

It provides patterns for testing Python Temporal workflows and activities with pytest, including time-skipping, activity mocks, and replay checks for determinism.

How can I test a long-running Temporal workflow without waiting?

Use WorkflowEnvironment with time-skipping to exercise the workflow without waiting for real time to pass.

Source text

SKILL.md · MIT
---
name: temporal-python-testing
description: 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.
---

# 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

```python
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

```python
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

© Seth Hobson · MIT · wshobson/agents

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