include_in_schema: bool = True,
        json_schema_extra: Union[Dict[str, Any], None] = None,
        **extra: Any,
    ):
        if example is not _Unset:
            warnings.warn(
                "`example` has been deprecated, please use `examples` instead",
                category=DeprecationWarning,
                stacklevel=4,
            )
        self.example = example
        self.include_in_schema = include_in_schema

You can create production applications with **FastAPI** right now (and you have probably been doing it for some time), you just have to make sure that you use a version that works correctly with the rest of your code.

## Pin your `fastapi` version

# Using Dataclasses

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

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

What inspired **FastAPI**, how it compares to alternatives and what it learned from them.

## Intro

**FastAPI** wouldn't exist if not for the previous work of others.

There have been many tools created before that have helped inspire its creation.

I have been avoiding the creation of a new framework for several years. First I tried to solve all the features covered by **FastAPI** using many different frameworks, plug-ins, and tools.

* Review Pull Requests, [especially important for translations](contributing.md#translations){.internal-link target=_blank}.

A round of applause to them. 👏 🙇

## FastAPI Experts

These are the users that have been [helping others the most with questions in GitHub](help-fastapi.md#help-others-with-questions-in-github){.internal-link target=_blank}. 🙇

They have proven to be **FastAPI Experts** by helping many others. ✨

!!! tip

# Configuración avanzada de las operaciones de path

## OpenAPI operationId

!!! warning "Advertencia"
    Si no eres una persona "experta" en OpenAPI, probablemente no necesitas leer esto.

Puedes asignar el `operationId` de OpenAPI para ser usado en tu *operación de path* con el parámetro `operation_id`.

En este caso tendrías que asegurarte de que sea único para cada operación.

```Python hl_lines="6"

# Using the Request Directly

Up to now, you have been declaring the parts of the request that you need with their types.

Taking data from:

* The path as parameters.
* Headers.
* Cookies.
* etc.

And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically.

But there are situations where you might need to access the `Request` object directly.

So, to avoid ID collisions, when creating the JWT token for the user, you could prefix the value of the `sub` key, e.g. with `username:`. So, in this example, the value of `sub` could have been: `username:johndoe`.

The important thing to keep in mind is that the `sub` key should have a unique identifier across the entire application, and it should be a string.

## Check it

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap

You have been reading here some of the main concepts that you would probably need to keep in mind when deciding how to deploy your application:

* Security - HTTPS
* Running on startup
* Restarts

    * Como el parámetro `q` fue declarado con `= None` es opcional.
    * Sin el `None` sería obligatorio (cómo lo es el body en el caso con `PUT`).
* Para requests de tipo `PUT` a `/items/{item_id}` leer el body como JSON:
    * Revisar si tiene un atributo requerido `name` que debe ser un `str`.
    * Revisar si tiene un atributo requerido `price` que debe ser un `float`.