## HTTPX { #httpx }

Même si votre application **FastAPI** utilise des fonctions `def` normales au lieu de `async def`, c'est toujours une application `async` en interne.

from fastapi import FastAPI
from fastapi.testclient import TestClient

app = FastAPI()


@app.get("/")
async def read_main():
    return {"msg": "Hello World"}


client = TestClient(app)


def test_read_main():
    response = client.get("/")
    assert response.status_code == 200

from inline_snapshot import snapshot

app = FastAPI()


def _get_client_key(client_id: str = Query(...)) -> str:
    return f"{client_id}_key"


def _get_client_tag(client_id: str | None = Query(None)) -> str | None:
    if client_id is None:
        return None
    return f"{client_id}_tag"


@app.get("/foo")
def foo_handler(
    client_key: str = Depends(_get_client_key),

## HTTPX { #httpx }

Mesmo que a sua aplicação **FastAPI** utilize funções normais com `def` no lugar de `async def`, ela ainda é uma aplicação `async` por baixo dos panos.

    Auch hier können Sie `dataclasses` mit Standard-Typannotationen kombinieren.

8. Beachten Sie, dass diese *Pfadoperation-Funktion* reguläres `def` anstelle von `async def` verwendet.

    Wie immer können Sie in FastAPI `def` und `async def` beliebig kombinieren.

        pytest.param("tutorial005_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body_multiple_params.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_all(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "item": {

app = FastAPI()


@app.delete(
    "/{id}",
    status_code=204,
    response_model=None,
)
async def delete_deployment(
    id: int,
    response: Response,
) -> Any:
    response.status_code = 400
    return {"msg": "Status overwritten", "id": id}


client = TestClient(app)


def test_dependency_set_status_code():
    response = client.delete("/1")

    response_class=Response,
    responses={500: {"description": "Error", "model": JsonApiError}},
)
async def a():
    pass  # pragma: no cover


@app.get("/b", responses={500: {"description": "Error", "model": Error}})
async def b():
    pass  # pragma: no cover


client = TestClient(app)


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

@app.get("/valid1", responses={"500": {"model": int}})
def valid1():
    pass


@app.get("/valid2", responses={"500": {"model": list[int]}})
def valid2():
    pass


@app.get("/valid3", responses={"500": {"model": Model}})
def valid3():
    pass


@app.get("/valid4", responses={"500": {"model": list[Model]}})
def valid4():
    pass


client = TestClient(app)


def test_path_operations():

### `typing` モジュール { #typing-module }

いくつかの追加のユースケースでは、標準ライブラリの `typing` モジュールから何かをインポートする必要があるかもしれません。例えば「任意の型」を受け付けることを宣言したい場合、`typing` の `Any` を使えます:

```python
from typing import Any


def some_function(data: Any):
    print(data)
```

### ジェネリック型 { #generic-types }

一部の型は、角括弧内で「型パラメータ」を受け取り、内部の型を定義できます。例えば「文字列のリスト」は `list[str]` として宣言します。

このように型パラメータを取れる型は **Generic types**（ジェネリクス）と呼ばれます。