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

그럼에도, **FastAPI**는 표준 Open API를 사용해 이미 호환이 가능합니다.

따라서 Swagger UI 또는 기타 그 외의 OpenAPI를 지원하는 툴이 다중 파일 업로드를 지원하는 경우, 이들은 **FastAPI**와 호환됩니다.

///

/// note | "기술적 세부사항"

`from starlette.responses import HTMLResponse` 역시 사용할  수 있습니다.

**FastAPI**는 개발자의 편의를 위해 `fastapi.responses` 와 동일한 `starlette.responses` 도 제공합니다. 하지만 대부분의 응답들은 Starlette로부터 직접 제공됩니다.

# Reference

Here's the reference or code API, the classes, functions, parameters, attributes, and
all the FastAPI parts you can use in your applications.

If you want to **learn FastAPI** you are much better off reading the

# Usando Dataclasses

FastAPI é construído em cima do **Pydantic**, e eu tenho mostrado como usar modelos Pydantic para declarar requisições e respostas.

Mas o FastAPI também suporta o uso de <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> da mesma forma:

```Python hl_lines="1  7-12  19-20"
{!../../docs_src/dataclasses/tutorial001.py!}
```

from typing import Annotated

from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse

app = FastAPI()


@app.post("/files/")
async def create_files(
    files: Annotated[list[bytes], File(description="Multiple files as bytes")],
):
    return {"file_sizes": [len(file) for file in files]}


@app.post("/uploadfiles/")
async def create_upload_files(
    files: Annotated[

target="_blank">versionnage sémantique</a>.

Vous pouvez créer des applications de production avec **FastAPI** dès maintenant (et vous le faites probablement depuis un certain temps), vous devez juste vous assurer que vous utilisez une version qui fonctionne correctement avec le reste de votre code.

## Épinglez votre version de `fastapi`

Tout d'abord il faut "épingler" la version de **FastAPI** que vous utilisez à la dernière version dont vous savez

from typing import Dict

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Items(BaseModel):
    items: Dict[str, int]


@app.post("/foo")
def foo(items: Items):
    return items.items


client = TestClient(app)


def test_additional_properties_post():
    response = client.post("/foo", json={"items": {"foo": 1, "bar": 2}})

from typing import List

from fastapi import FastAPI
from fastapi.routing import APIRoute
from pydantic import BaseModel


def custom_generate_unique_id(route: APIRoute):
    return f"{route.tags[0]}-{route.name}"


app = FastAPI(generate_unique_id_function=custom_generate_unique_id)


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


class ResponseMessage(BaseModel):
    message: str

# Retornando uma Resposta Diretamente

Quando você cria uma *operação de rota* no **FastAPI** você pode retornar qualquer dado nela: um dicionário (`dict`), uma lista (`list`), um modelo do Pydantic ou do seu banco de dados, etc.

Por padrão, o **FastAPI** irá converter automaticamente o valor do retorno para JSON utilizando o `jsonable_encoder` explicado em [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

Użycie w Twoim edytorze jest tym, co pokazuje prawdziwe korzyści z FastAPI, pozwala zobaczyć jak mało kodu musisz napisać, wszystkie funkcje, takie jak kontrola typów, <abbr title="auto-complete, autocompletion, IntelliSense">automatyczne uzupełnianie</abbr>, itd.

---

## Instalacja FastAPI

Jako pierwszy krok zainstaluj FastAPI.

Na potrzeby samouczka możesz zainstalować również wszystkie opcjonalne biblioteki: