## Convert any Data to JSON-compatible

To convert any data to JSON-compatible, read the docs for [Tutorial - JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

## OpenAPI Metadata - Docs

compatibles avec <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a>, de la bibliothèque standard Python et
<a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

Néanmoins, Uvicorn n'est actuellement compatible qu'avec asyncio, et il utilise normalement <a href="https://github.

    timestamp: datetime
    description: Union[str, None] = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

dthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, which makes them compatible with both Python's standard library <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> and <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

Nevertheless, Uvicorn is currently only compatible with asyncio, and it normally uses <a href="https://github.com/MagicStack/uvloop" class="external-link"...

It is provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi import WebSocket
```

!!! tip
    When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

::: fastapi.WebSocket
    options:
        members:
            - scope

In all the docs there are examples compatible with each version of Python (when there's a difference).

For example "**Python 3.6+**" means it's compatible with Python 3.6 or above (including 3.7, 3.8, 3.9, 3.10, etc). And "**Python 3.9+**" means it's compatible with Python 3.9 or above (including 3.10, etc).

# JSON Compatible Encoder

Існують випадки, коли вам може знадобитися перетворити тип даних (наприклад, модель Pydantic) в щось сумісне з JSON (наприклад, `dict`, `list`, і т. д.).

Наприклад, якщо вам потрібно зберегти це в базі даних.

Для цього, **FastAPI** надає `jsonable_encoder()` функцію.

## Використання `jsonable_encoder`

Давайте уявимо, що у вас є база даних `fake_db`, яка приймає лише дані, сумісні з JSON.

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

!!! tip
    When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

```

!!! tip
    Keep in mind that if you return a response directly instead of using the `Response` parameter, FastAPI will return it directly.

    So, you will have to make sure your data is of the correct type. E.g. it is compatible with JSON, if you are returning a `JSONResponse`.

    And also that you are not sending any data that should have been filtered by a `response_model`.

### More info

!!! note "Technical Details"

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}.

Luego, tras bastidores, pondría esos datos compatibles con JSON (por ejemplo, un `dict`) dentro de una `JSONResponse` que se usaría para enviar la respuesta al cliente.