A specialized toolkit for testing Temporal workflows and activities using pytest, time-skipping, and determinism validation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fix-build-agentops-temporal-python-testing
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
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Help me install fix-build-agentops-temporal-python-testing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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Get the raw skill files in a ZIP archive.
What is Temporal Python Testing?
Temporal Python Testing is a comprehensive framework designed to ensure the reliability and determinism of long-running workflows. By leveraging Openclaw Skills in your development pipeline, you can implement sophisticated testing strategies that range from isolated unit tests to complex integration scenarios involving mocked external dependencies.
The skill focuses on the core philosophy of progressive disclosure, allowing developers to access specific resources for unit testing, activity mocking, and replay testing. This ensures that month-long workflows can be validated in seconds while maintaining strict adherence to Temporal's determinism requirements, ultimately aiming for a production-ready coverage target of 80% or higher.
Temporal Python Testing Use Cases
- Unit testing workflows with advanced time-skipping for near-instant feedback on long-running logic.
- Integration testing to validate complex multi-activity orchestrations with mocked external services.
- Replay testing to prevent non-deterministic changes from breaking existing production workflow histories.
- Setting up local development environments using Docker and pytest for rapid iteration.
- Automated CI/CD pipeline integration to enforce quality gates and logic coverage.
How Temporal Python Testing Works
- Initialize a WorkflowEnvironment using time-skipping to bypass real-world delays during execution.
- Configure pytest fixtures to manage the lifecycle of the Temporal test server and client workers.
- Execute workflows in isolation or with mocked activities to verify specific logical paths and edge cases.
- Utilize the ActivityEnvironment to test individual activity functions without requiring a full workflow overhead.
- Run Replay tests against exported production JSON histories to ensure new code remains compatible with existing state.
Temporal Python Testing Setup
To integrate this into your workflow, ensure you have the Temporal Python SDK and pytest installed. These Openclaw Skills require a functioning Python environment.
pip install temporalio pytest pytest-asyncio
Configure your conftest.py to include the standard Temporal testing fixtures for environment management.
Temporal Python Testing Data Schema & Taxonomy
The skill organizes its testing resources into a structured taxonomy for progressive disclosure:
| Resource | File Path | Focus Area |
|---|---|---|
| Unit Testing | resources/unit-testing.md |
Time-skipping, WorkflowEnvironment, and isolation tests |
| Integration | resources/integration-testing.md |
Activity mocking, error injection, and signal/query validation |
| Replay | resources/replay-testing.md |
Determinism checks and production history validation |
| Local Setup | resources/local-setup.md |
Docker Compose and environment configuration |
Temporal Python Testing Advanced Features
- Manual time advancement patterns for granular control over temporal logic.
- Error injection patterns to simulate network failures or downstream service timeouts.
- Production history replay to safeguard against breaking changes in distributed systems.
- Multi-agent support for simulating complex signal/query interactions between concurrent workflows.
SKILL.md
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