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# Simple OAuth2 con Password y Bearer

Ahora vamos a construir a partir del capítulo anterior y agregar las partes faltantes para tener un flujo de seguridad completo.

## Obtener el `username` y `password`

Vamos a usar las utilidades de seguridad de **FastAPI** para obtener el `username` y `password`.

OAuth2 especifica que cuando se utiliza el "password flow" (que estamos usando), el cliente/usuario debe enviar campos `username` y `password` como form data.

```

1. Here we use the `--workers` command line option to set the number of workers to 4.

Here are some examples of when that could make sense:

#### A Simple App { #a-simple-app }

You could want a process manager in the container if your application is **simple enough** that can run it on a **single server**, not a cluster.

#### Docker Compose { #docker-compose }

Sebastián Ramírez <******@****.***> 1731896744 +0100

Lee Yesong (이예송) <******@****.***> 1739618352 +0900

Aleksandr Andrukhov <******@****.***> 1733828020 +0300

Sebastián Ramírez <******@****.***> 1731896744 +0100

style**, if you call that function without FastAPI in **other places**, you have to **remember** to pass the arguments to the function for it to work correctly, otherwise the values will be different from what you expect (e.g. `QueryInfo` or something similar instead of `str`). And your editor won't complain, and Python won't complain running that function, only when the operations inside error out.

Because `Annotated` can have more than one metadata annotation, you could now even use the same...

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

Logra algo algo similar a lo que se puede hacer con Flask-apispec.

Tiene un sistema de inyección de dependencias integrado, inspirado por Angular 2. Requiere pre-registrar los "inyectables" (como todos los otros sistemas de inyección de dependencias que conozco), por lo que añade a la verbosidad y repetición de código.