import * as fs from 'fs'

async function modifyOpenAPIFile(filePath) {
  try {
    const data = await fs.promises.readFile(filePath)
    const openapiContent = JSON.parse(data)

    const paths = openapiContent.paths
    for (const pathKey of Object.keys(paths)) {
      const pathData = paths[pathKey]
      for (const method of Object.keys(pathData)) {
        const operation = pathData[method]
        if (operation.tags && operation.tags.length > 0) {

        },
    },
)
async def create_item(request: Request):
    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors(include_url=False))

    return client


def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo"}


def test_post_body_form_no_password(client: TestClient):
    response = client.post("/login/", data={"username": "Foo"})
    assert response.status_code == 422
    assert response.json() == IsDict(

#### Data "schema"

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema

            ],
            "body": {"title": "towel", "size": "XL"},
        }
    )


def test_post():
    data = {"title": "towel", "size": 5}
    response = client.post("/items/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


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

* To pass a JSON body, pass a Python object (e.g. a `dict`) to the parameter `json`.
* If you need to send *Form Data* instead of JSON, use the `data` parameter instead.
* To pass *headers*, use a `dict` in the `headers` parameter.
* For *cookies*, a `dict` in the `cookies` parameter.

        "description": None,
        "price": 50.5,
        "tax": None,
    }


@needs_py310
def test_wrong_headers(client: TestClient):
    data = '{"name": "Foo", "price": 50.5}'
    response = client.post(
        "/items/", content=data, headers={"Content-Type": "text/plain"}
    )
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {

        "name": "Foo",
        "description": None,
        "price": 50.5,
        "tax": None,
    }


def test_wrong_headers(client: TestClient):
    data = '{"name": "Foo", "price": 50.5}'
    response = client.post(
        "/items/", content=data, headers={"Content-Type": "text/plain"}
    )
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {

    * Autocompletamento.
    * Controllo sulle annotazioni di tipo.
* Validazione dei dati:
    * Errori chiari e automatici quando i dati sono invalidi.
    * Validazione anche per gli oggetti JSON più complessi.
* <abbr title="anche noto come: serializzazione, parsing, marshalling">Conversione</abbr> dei dati di input: da risorse esterne a dati e tipi di Python. È possibile leggere da:
    * JSON.
    * Path parameters.

# Devolver una respuesta directamente

Cuando creas una *operación de path* normalmente puedes devolver cualquier dato: un `dict`, una `list`, un modelo Pydantic, un modelo de base de datos, etc.

Por defecto, **FastAPI** convertiría automáticamente ese valor devuelto a JSON usando el `jsonable_encoder` explicado en [Codificador Compatible JSON](../tutorial/encoder.md){.internal-link target=_blank}.