Does this skill support both Python and TypeScript tests?

Yes, it provides comprehensive patterns and best practices for both pytest (Python) and Vitest (TypeScript) specifically tailored for litestar-vite environments.

Why are function-based tests recommended over class-based tests?

Function-based tests are the preferred pattern in modern pytest ecosystems as they offer better readability, simpler fixture injection, and align with functional testing principles.

Can I use this for integration testing in Litestar?

Absolutely. It includes specific patterns for using the Litestar AsyncTestClient to verify that your route handlers and Vite asset loaders work together correctly.

How does it handle asynchronous testing?

The skill utilizes pytest-asyncio patterns and Vitest's native async/await support to handle concurrent asset loading and manifest access tests without blocking.

Litestar Vite Testing

Name: Litestar Vite Testing
Author: litestar-org

bylitestar-org

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Security & Testing

Streamlines the creation of high-quality unit and integration tests for Litestar-Vite integrations using pytest and Vitest.

About

This skill provides expert-level guidance for implementing robust testing strategies within the litestar-vite ecosystem, covering both Python-based backend testing with pytest and TypeScript-based frontend testing with Vitest. It enforces best practices such as function-based test patterns, proper async handling, and efficient mocking of configurations and manifests to ensure comprehensive code coverage and reliable application behavior across the full stack.

Key Features

Standardized function-based pytest patterns for Python backend tests
Pre-configured fixtures for ViteConfig and asset manifest mocking
Integration with Litestar AsyncTestClient for end-to-end route testing
Automated async testing patterns and parameterized test structures
Vitest implementation for TypeScript plugin and frontend logic verification
28 GitHub stars

Use Cases

Verifying Vite asset loading and manifest resolution in Litestar applications
Mocking Vite configurations to unit test custom plugin logic and build paths
Implementing concurrent async tests for high-performance asset delivery

About

Key Features

Standardized function-based pytest patterns for Python backend tests
Pre-configured fixtures for ViteConfig and asset manifest mocking
Integration with Litestar AsyncTestClient for end-to-end route testing
Automated async testing patterns and parameterized test structures
Vitest implementation for TypeScript plugin and frontend logic verification
28 GitHub stars

Use Cases

Verifying Vite asset loading and manifest resolution in Litestar applications
Mocking Vite configurations to unit test custom plugin logic and build paths
Implementing concurrent async tests for high-performance asset delivery