pytest-asyncio-httpx-mocking

Mock httpx.AsyncClient methods with AsyncMock in pytest tests.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/StarrySerendipity/N.E.K.O --skill pytest-asyncio-httpx-mocking
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pytest-asyncio-httpx-mocking
Source: https://github.com/StarrySerendipity/N.E.K.O/tree/main/.agent/skills/pytest-asyncio-httpx-mocking
Command: npx skills add https://github.com/StarrySerendipity/N.E.K.O --skill pytest-asyncio-httpx-mocking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Using unittest.mock.patch on httpx.AsyncClient to mock async methods like post/get often returns a non-awaitable MagicMock, causing TypeError when awaited. This Skill guides you to use AsyncMock for async methods to ensure proper coroutine behavior and avoid await errors.

Core Features & Use Cases

  • Correctly patch AsyncClient methods (post/get) with AsyncMock to produce awaitable responses.
  • Explain the distinction between AsyncMock (async) and MagicMock (sync) and provide representative test scenarios.
  • Real-world use: test a PyTest data fetcher that awaits httpx AsyncClient responses without flakiness.

Quick Start

Patch httpx.AsyncClient.post (and get) with AsyncMock in your pytest tests to ensure awaitable responses.

Frequently Asked Questions about pytest-asyncio-httpx-mocking

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

FAQPage Schema
Why does awaiting a mocked httpx AsyncClient method raise a TypeError in pytest?

Awaiting a mocked httpx AsyncClient method raises a TypeError because standard MagicMock returns a non-awaitable object. You must use unittest.mock.AsyncMock for async methods like get and post to ensure proper coroutine behavior and avoid await errors.

How do I patch httpx AsyncClient post and get methods in pytest with AsyncMock?

To patch httpx AsyncClient post and get methods in pytest with AsyncMock, apply unittest.mock.patch to the specific methods. This ensures the mocked methods return awaitable responses, preserving the coroutine context needed for realistic asynchronous behavior during test execution.

What is the difference between MagicMock and AsyncMock when testing asyncio httpx calls?

The difference between MagicMock and AsyncMock when testing asyncio httpx calls is that AsyncMock produces awaitable coroutines for async methods, while MagicMock returns non-awaitable sync objects. AsyncMock is required to prevent TypeError when awaiting mocked httpx responses in pytest.

How do I correctly wrap return values for AsyncMock in pytest httpx tests?

To correctly wrap return values for AsyncMock in pytest httpx tests, configure the return_value or side_effect on the AsyncMock object. This ensures the awaited response behaves as expected, allowing you to test data fetchers that process httpx AsyncClient responses without flakiness.

Can I use unittest.mock.patch to test an async data fetcher awaiting httpx responses without flakiness?

Yes, you can use unittest.mock.patch to test an async data fetcher awaiting httpx responses without flakiness. By patching httpx.AsyncClient methods with AsyncMock, you prevent non-awaitable return values and maintain realistic asynchronous behavior throughout your pytest test scenarios.