async def add_process_time_header(request: Request, call_next):
    start_time = time.perf_counter()
    response = await call_next(request)
    process_time = time.perf_counter() - start_time
    response.headers["X-Process-Time"] = str(process_time)

from typing import Any, Callable, Optional

from fastapi import Depends, FastAPI, Request, Response
from fastapi.testclient import TestClient

legacy_request_state_context_var: ContextVar[Optional[dict[str, Any]]] = ContextVar(
    "legacy_request_state_context_var", default=None
)

app = FastAPI()


async def set_up_request_state_dependency():
    request_state = {"user": "deadpond"}

app = FastAPI()


def get_username():
    try:
        yield "Rick"
    finally:
        print("Cleanup up before response is sent")


@app.get("/users/me")
def get_user_me(username: Annotated[str, Depends(get_username, scope="function")]):

    items["bar"] = {"name": "Tenders"}
    yield
    # clean up items
    items.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/items/{item_id}")
async def read_items(item_id: str):
    return items[item_id]


def test_read_items():
    # Before the lifespan starts, "items" is still empty
    assert items == {}

    with TestClient(app) as client:

from fastapi import FastAPI, File, Form, UploadFile

app = FastAPI()


@app.post("/files/")
async def create_file(
    file: Annotated[bytes, File()],
    fileb: Annotated[UploadFile, File()],
    token: Annotated[str, Form()],
):
    return {
        "file_size": len(file),
        "token": token,
        "fileb_content_type": fileb.content_type,

/// note | 기술적 세부사항

다음과 같이 임포트하셔도 좋습니다. `from starlette import status`.

**FastAPI**는 개발자 여러분의 편의를 위해서 `starlette.status`와 동일한 `fastapi.status`를 제공합니다. 하지만 Starlette에서 직접 온 것입니다.

///

## 태그

(보통 단일 `str`인) `str`로 구성된 `list`와 함께 매개변수 `tags`를 전달하여, `경로 작동`에 태그를 추가할 수 있습니다:

{* ../../docs_src/path_operation_configuration/tutorial002.py hl[17,22,27] *}

전달된 태그들은 OpenAPI의 스키마에 추가되며, 자동 문서 인터페이스에서 사용됩니다:

{* ../../docs_src/query_params/tutorial005_py39.py hl[6:7] *}

Aqui o parâmetro de consulta `needy` é um valor obrigatório, do tipo `str`.

Se você abrir no seu navegador a URL:

```
http://127.0.0.1:8000/items/foo-item
```

... sem adicionar o parâmetro obrigatório `needy`, você verá um erro como:

```JSON
{
  "detail": [

As, by default, singular values are interpreted as query parameters, you don't have to explicitly add a `Query`, you can just do:

```Python
q: Union[str, None] = None
```

Or in Python 3.10 and above:

```Python
q: str | None = None
```

For example:

{* ../../docs_src/body_multiple_params/tutorial004_an_py310.py hl[28] *}


/// info

{* ../../docs_src/query_params/tutorial005_py39.py hl[6:7] *}

Aquí el parámetro de query `needy` es un parámetro de query requerido de tipo `str`.

Si abres en tu navegador una URL como:

```
http://127.0.0.1:8000/items/foo-item
```

...sin agregar el parámetro requerido `needy`, verás un error como:

```JSON
{
  "detail": [

Da einfache Werte standardmäßig als Query-Parameter interpretiert werden, müssen Sie `Query` nicht explizit hinzufügen, Sie können einfach schreiben:

```Python
q: Union[str, None] = None
```

Oder in Python 3.10 und darüber:

```Python
q: str | None = None
```

Zum Beispiel:

{* ../../docs_src/body_multiple_params/tutorial004_an_py310.py hl[28] *}

/// info | Info