## Pydantic { #pydantic }

Toda la validación de datos se realiza internamente con <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, así que obtienes todos los beneficios de esta. Y sabes que estás en buenas manos.

Puedes usar las mismas declaraciones de tipo con `str`, `float`, `bool` y muchos otros tipos de datos complejos.

used to test the individual components in the lifecycle with data that has expected characteristics
and can be asserted as desired.

You can change/extend these stubs, and tests should not be breaking too much, since most tests
assert using expected values from the stubs. Normally, when you try to use data from the stubs that
have not been properly populated, you'll get a nullpointer in your test and you then have to

 * lifecycle at all, in which case we wouldn't be needing this class at all ( and
 * ProjectBuildList.getByTaskSegments). Or maybe they should be introduced in the calculation
 * of the execution plan instead, which seems much nicer.
 * </p>
 * <p>
 * Additionally this class contains a clone of the MavenSession, which is *only* needed
 * because it has as notion of a "current" project.
 * </p>

///

Y cuando devuelves una `Response`, **FastAPI** la pasará directamente.

No hará ninguna conversión de datos con los modelos de Pydantic, no convertirá los contenidos a ningún tipo, etc.

Esto te da mucha flexibilidad. Puedes devolver cualquier tipo de datos, sobrescribir cualquier declaración o validación de datos, etc.

## Usar el `jsonable_encoder` en una `Response` { #using-the-jsonable-encoder-in-a-response }

 *
 * Doing it correctly would require running a Gradle build with the full
 * distribution and extracting the generated api jar from its Gradle user home,
 * slowing down building documentation.
 *
 * All this would be so much simpler if the Kotlin extensions to the Gradle API
 * were generated at build time instead.
 *
 * This is a first step to get the doc to be complete and will be revisited.
 */
@CacheableTask

### Summary { #summary }

I used to say I didn't like history that much... and look at me now giving "tech history" lessons. 😅

pkg debug/macho, type LoadCmd uint32
pkg debug/macho, type Nlist32 struct
pkg debug/macho, type Nlist32 struct, Desc uint16
pkg debug/macho, type Nlist32 struct, Name uint32
pkg debug/macho, type Nlist32 struct, Sect uint8
pkg debug/macho, type Nlist32 struct, Type uint8
pkg debug/macho, type Nlist32 struct, Value uint32
pkg debug/macho, type Nlist64 struct
pkg debug/macho, type Nlist64 struct, Desc uint16

## Otros middlewares { #other-middlewares }

Hay muchos otros middlewares ASGI.

Por ejemplo:

* <a href="https://github.com/encode/uvicorn/blob/master/uvicorn/middleware/proxy_headers.py" class="external-link" target="_blank">`ProxyHeadersMiddleware` de Uvicorn</a>

        * **FastAPI**: (uses Starlette) an API microframework with several additional features for building APIs, with data validation, etc.

* **Uvicorn**:
    * Will have the best performance, as it doesn't have much extra code apart from the server itself.

## `fastapi dev` { #fastapi-dev }

Ejecutar `fastapi dev` inicia el modo de desarrollo.

Por defecto, **auto-reload** está habilitado, recargando automáticamente el servidor cuando realizas cambios en tu código. Esto consume muchos recursos y podría ser menos estable que cuando está deshabilitado. Deberías usarlo solo para desarrollo. También escucha en la dirección IP `127.0.0.1`, que es la IP para que tu máquina se comunique solo consigo misma (`localhost`).