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litestar-testing

Write pytest test suites for Litestar apps with lifespan and DI mocking.

13|Updated Apr 15, 2026
Search Tags:#pytest#test coverage#async testing#test fixtures#litestar#anyio#di mocking
One-click install
npx skills add https://github.com/litestar-org/litestar-skills --skill litestar-testing-litestar-org
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: litestar-testing
Source: https://github.com/litestar-org/litestar-skills/tree/main/plugins/litestar/skills/litestar-testing
Command: npx skills add https://github.com/litestar-org/litestar-skills --skill litestar-testing-litestar-org

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Writing Litestar tests often leads to flaky, broken suites that fail to initialize app lifespans, mock dependencies correctly, or follow Litestar's async testing conventions, causing missed bugs and wasted debugging time.

Core Features & Use Cases

  • Litestar-native test patterns: Covers TestClient vs AsyncTestClient selection, anyio setup, app/lifespan fixtures, and Guard/DI mocking tailored to Litestar's architecture.
  • Ecosystem integration: Includes guidance for combining tests with pytest-databases for containerized database testing, and first-party Litestar libraries like litestar-email and litestar-saq.
  • Real-world use case: For a Litestar API with auth guards and database dependencies, this skill ensures tests run lifespans correctly, mock side effects via DI overrides, and cover both happy and error paths without flakiness.

Quick Start

Use the litestar-testing skill to write a pytest test suite for your Litestar API that correctly fires app lifespans, mocks external dependencies, and achieves 90% code coverage.

Frequently Asked Questions about litestar-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why are my Litestar async tests flaky and failing to initialize app lifespans?▼

Flaky Litestar tests usually fail to fire app lifespans correctly or use wrong test client setups. Enforcing proper AsyncTestClient usage and anyio backend configuration eliminates initialization failures and stabilizes async test suites.

How do I mock dependencies and bypass auth guards in Litestar pytest tests?▼

Mock Litestar dependencies and bypass auth guards by applying dependency injection overrides within your pytest fixtures. This injects mock side effects for external services while skipping guard logic to isolate API route behavior.

What is the difference between TestClient and AsyncTestClient in Litestar?▼

TestClient handles synchronous Litestar requests, while AsyncTestClient manages asynchronous operations using anyio. Selecting AsyncTestClient is required for testing async database integrations and ensuring correct lifespan initialization in async Litestar apps.

Does Litestar testing support integration with pytest-databases for containerized database tests?▼

Yes, Litestar testing supports pytest-databases integration for containerized database testing. This combination spins up isolated database containers during test runs, ensuring clean state and reliable integration coverage for Litestar APIs.

What is the best way to achieve high test coverage for Litestar APIs with HTMX requests?▼

Achieve high Litestar API test coverage by combining AsyncTestClient usage with DI mocking to validate both happy and error paths. This canonical styleguide approach ensures HTMX request scenarios and database dependencies are fully tested.

How do I configure anyio-based async test setup for Litestar applications?▼

Configure anyio-based async test setup for Litestar by applying correct anyio backend fixtures and using AsyncTestClient. This enforces Litestar's canonical async testing conventions, preventing flaky suites and ensuring proper asynchronous execution.

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