The browser would then communicate with that IP address on **port 443** (the HTTPS port).

The first part of the communication is just to establish the connection between the client and the server and to decide the cryptographic keys they will use, etc.

<img src="/img/deployment/https/https02.drawio.svg">

This interaction between the client and the server to establish the TLS connection is called the **TLS handshake**.

Ten en cuenta que aunque el `item` se declaró de la misma manera que antes, ahora se espera que esté dentro del cuerpo con una clave `item`.

///

**FastAPI** hará la conversión automática del request, de modo que el parámetro `item` reciba su contenido específico y lo mismo para `user`.

Realizará la validación de los datos compuestos, y los documentará así para el esquema de OpenAPI y la documentación automática.

# HTTP Basic Auth { #http-basic-auth }

Para los casos más simples, puedes usar HTTP Basic Auth.

En HTTP Basic Auth, la aplicación espera un header que contiene un nombre de usuario y una contraseña.

Si no lo recibe, devuelve un error HTTP 401 "Unauthorized".

Y devuelve un header `WWW-Authenticate` con un valor de `Basic`, y un parámetro `realm` opcional.

Eso le dice al navegador que muestre el prompt integrado para un nombre de usuario y contraseña.

@DoNotMock("Use ImmutableRangeMap or TreeRangeMap")
@GwtIncompatible
public interface RangeMap<K extends Comparable, V> {
  /*
   * TODO(cpovirk): These docs sometimes say "map" and sometimes say "range map." Pick one, or at
   * least decide on a policy for when to use which.
   */

  /**
   * Returns the value associated with the specified key, or {@code null} if there is no such value.
   *

Interceptors can be chained. Suppose you have both a compressing interceptor and a checksumming interceptor: you'll need to decide whether data is compressed and then checksummed, or checksummed and then compressed. OkHttp uses lists to track interceptors, and interceptors are called in order.

![Interceptors Diagram](../assets/images/******@****.***)

        return null // Nothing to do.
      }

      val now = backend.nanoTime()
      var minDelayNanos = Long.MAX_VALUE
      var readyTask: Task? = null
      var multipleReadyTasks = false

      // Decide what to run. This loop's goal wants to:
      //  * Find out what this thread should do (either run a task or sleep)
      //  * Find out if there's enough work to start another thread.

## Response Adicional con `model` { #additional-response-with-model }

Puedes pasar a tus *decoradores de path operation* un parámetro `responses`.

Recibe un `dict`: las claves son los códigos de estado para cada response (como `200`), y los valores son otros `dict`s con la información para cada uno de ellos.

     *
     * @param <P>           the type of problem
     * @param maxCountLimit the maximum number of problems to preserve
     * @param filter        predicate to decide which problems to record
     * @return a new filtered problem collector instance
     */
    @Nonnull
    static <P extends BuilderProblem> ProblemCollector<P> create(int maxCountLimit, Predicate<? super P> filter) {

The dictionary in `openapi_extra` will be deeply merged with the automatically generated OpenAPI schema for the *path operation*.

So, you could add additional data to the automatically generated schema.

For example, you could decide to read and validate the request with your own code, without using the automatic features of FastAPI with Pydantic, but you could still want to define the request in the OpenAPI schema.

You could do that with `openapi_extra`:

@DoNotMock("Use ImmutableRangeMap or TreeRangeMap")
@GwtIncompatible
public interface RangeMap<K extends Comparable, V> {
  /*
   * TODO(cpovirk): These docs sometimes say "map" and sometimes say "range map." Pick one, or at
   * least decide on a policy for when to use which.
   */

  /**
   * Returns the value associated with the specified key, or {@code null} if there is no such value.
   *