테스트에서 비동기 함수를 사용할 수 있으면 유용할 수 있습니다. 예를 들어 데이터베이스를 비동기로 쿼리하는 경우를 생각해 보세요. FastAPI 애플리케이션에 요청을 보낸 다음, async 데이터베이스 라이브러리를 사용하면서 백엔드가 데이터베이스에 올바른 데이터를 성공적으로 기록했는지 검증하고 싶을 수 있습니다.

어떻게 동작하게 만들 수 있는지 살펴보겠습니다.

## pytest.mark.anyio { #pytest-mark-anyio }

테스트에서 비동기 함수를 호출하려면, 테스트 함수도 비동기여야 합니다. AnyIO는 이를 위한 깔끔한 플러그인을 제공하며, 일부 테스트 함수를 비동기로 호출하도록 지정할 수 있습니다.

## HTTPX { #httpx }

        .of(MANY_VALUES_MEAN);
    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.mean())
        .isWithin(ALLOWED_ERROR)
        .of(MANY_VALUES_MEAN);
    // For datasets of many double values created from an iterable, we test many combinations of
    // finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();

    assertThat(expected).hasMessageThat().isEqualTo("Mark not set");
  }

  public void testLimit_markNotSupported() {
    InputStream lin = ByteStreams.limit(new UnmarkableInputStream(), 2);

    IOException expected = assertThrows(IOException.class, lin::reset);
    assertThat(expected).hasMessageThat().isEqualTo("Mark not supported");
  }

"""

from collections.abc import AsyncIterable

import anyio
import pytest
from fastapi import FastAPI
from fastapi.responses import StreamingResponse

pytestmark = [
    pytest.mark.anyio,
    pytest.mark.filterwarnings("ignore::pytest.PytestUnraisableExceptionWarning"),
]


app = FastAPI()


@app.get("/stream-raw", response_class=StreamingResponse)
async def stream_raw() -> AsyncIterable[str]:

    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body.{request.param}")

    client = TestClient(mod.app)
    return client


@pytest.mark.parametrize("price", ["50.5", 50.5])
def test_post_with_tax(client: TestClient, price: str | float):
    response = client.post(
        "/items/",

		return l.do(f)
	}
	return nil
}

func (l *Init) do(f func() error) error {
	l.m.Lock()
	defer l.m.Unlock()
	if atomic.LoadUint32(&l.done) == 0 {
		if err := f(); err != nil {
			return err
		}
		// Mark as done only when f() is successful
		atomic.StoreUint32(&l.done, 1)
	}
	return nil
}

// DoWithContext is similar to Do except that it accepts a context as an argument to be passed.

Because of this, **FastAPI** itself provides an alternative API documentation (using ReDoc), which you can access at [http://127.0.0.1:8000/redoc](http://127.0.0.1:8000/redoc):

<img src="/img/tutorial/path-params/image02.png">

The same way, there are many compatible tools. Including code generation tools for many languages.

## Pydantic { #pydantic }

b.createElem(a),b.frag.createElement(a),'c("'+a+'")'})+");return n}")(t,b.frag)}function j(a){a||(a=b);var d=f(a);return!t.shivCSS||k||d.hasCSS||(d.hasCSS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.3",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|st...

        return value;
      }
    }
    return null;
  }

  /**
   * A sensible definition of {@link #clear} in terms of the {@code iterator} method of {@link
   * #entrySet}. In many cases, you may wish to override {@link #clear} to forward to this
   * implementation.
   *
   * @since 7.0
   */
  protected void standardClear() {
    Iterators.clear(entrySet().iterator());
  }

  /**

import pytest
from httpx import ASGITransport, AsyncClient

from .main import app


@pytest.mark.anyio
async def test_root():
    async with AsyncClient(
        transport=ASGITransport(app=app), base_url="http://test"
    ) as ac:
        response = await ac.get("/")
    assert response.status_code == 200