Está basado en [HTTPX](https://www.python-httpx.org), que a su vez está diseñado basado en Requests, por lo que es muy familiar e intuitivo.

Con él, puedes usar [pytest](https://docs.pytest.org/) directamente con **FastAPI**.

## Usando `TestClient` { #using-testclient }

/// info | Información

Para usar `TestClient`, primero instala [`httpx`](https://www.python-httpx.org).

Используя эти инструменты, Вы можете напрямую задействовать [pytest](https://docs.pytest.org/) с **FastAPI**.

## Использование класса `TestClient` { #using-testclient }

/// info | Информация

Для использования класса `TestClient` сначала установите [`httpx`](https://www.python-httpx.org).

    // loop we keep 56 bytes of state: v, w, x, y, and z.
    long x = load64(bytes, offset);
    long y = load64(bytes, offset + length - 16) ^ K1;
    long z = load64(bytes, offset + length - 56) ^ K0;
    long[] v = new long[2];
    long[] w = new long[2];
    weakHashLength32WithSeeds(bytes, offset + length - 64, length, y, v);

import warnings

import pytest
from fastapi import FastAPI
from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.responses import ORJSONResponse, UJSONResponse
from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    price: float


# ORJSON


def _make_orjson_app() -> FastAPI:
    with warnings.catch_warnings():

在測試中能使用非同步函式會很有用，例如當你以非同步方式查詢資料庫時。想像你想測試發送請求到 FastAPI 應用，然後在使用非同步資料庫函式庫時，驗證後端是否成功把正確資料寫入資料庫。

來看看怎麼做。

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

若要在測試中呼叫非同步函式，測試函式本身也必須是非同步的。AnyIO 為此提供了一個好用的外掛，讓我們可以標示某些測試函式以非同步方式執行。

## HTTPX { #httpx }

即使你的 FastAPI 應用使用一般的 `def` 函式而非 `async def`，它在底層仍然是個 `async` 應用。

`TestClient` 在內部做了一些魔法，讓我們能在一般的 `def` 測試函式中，使用標準 pytest 來呼叫非同步的 FastAPI 應用。但當我們在非同步函式中使用它時，這個魔法就不再奏效了。也就是說，當以非同步方式執行測試時，就不能在測試函式內使用 `TestClient`。

                "type": "array",
            },
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }


@pytest.mark.parametrize("json", [None, {}])
@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str_missing(path: str, json: dict | None):
    client = TestClient(app)

import importlib
import os
import shutil

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from tests.utils import needs_py310, workdir_lock


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

# Ref: https://github.com/fastapi/fastapi/discussions/6024#discussioncomment-8541913


from typing import Annotated

import pytest
from fastapi import Depends, FastAPI, Security
from fastapi.security import SecurityScopes
from fastapi.testclient import TestClient


@pytest.fixture(name="call_counts")
def call_counts_fixture():
    return {
        "get_db_session": 0,
        "get_current_user": 0,
        "get_user_me": 0,

                "in": "query",
            }
        ]
    )


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_missing(path: str):
    client = TestClient(app)
    response = client.get(path)
    assert response.status_code == 200
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],

Es basiert auf [HTTPX](https://www.python-httpx.org), welches wiederum auf der Grundlage von Requests konzipiert wurde, es ist also sehr vertraut und intuitiv.

Damit können Sie [pytest](https://docs.pytest.org/) direkt mit **FastAPI** verwenden.

## `TestClient` verwenden { #using-testclient }

/// info | Info

Um `TestClient` zu verwenden, installieren Sie zunächst [`httpx`](https://www.python-httpx.org).