# JSON Compatible Encoder

Hay algunos casos en los que podrías necesitar convertir un tipo de dato (como un modelo de Pydantic) a algo compatible con JSON (como un `dict`, `list`, etc).

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder`

Imaginemos que tienes una base de datos `fake_db` que solo recibe datos compatibles con JSON.

* <a href="https://hypercorn.readthedocs.io/" class="external-link" target="_blank">Hypercorn</a> : un serveur
  ASGI compatible avec HTTP/2 et Trio entre autres fonctionnalités.
* <a href="https://github.com/django/daphne" class="external-link" target="_blank">Daphne</a> : le serveur ASGI
  conçu pour Django Channels.

## Convertir cualquier Dato a Compatible con JSON

Para convertir cualquier dato a compatible con JSON, lee la documentación para [Tutorial - Codificador Compatible con JSON](../tutorial/encoder.md){.internal-link target=_blank}.

## Metadatos OpenAPI - Documentación

# Using MinIO with Veeam

When using Veeam Backup and Replication, you can use S3 compatible object storage such as MinIO as a capacity tier for backups.  This disaggregates storage for the Veeam infrastructure and allows you to retain control of your data. With the ease of use of setup and administration of MinIO, it allows a Veeam backup admin to easily deploy their own object store for capacity tiering.

## Prerequisites

 * serialization tests require more setup. This no-op behavior allows test authors to intersperse
 * {@code SerializableTester} calls with other, GWT-compatible tests.
 *
 * @author Mike Bostock
 * @since 10.0
 */
@GwtCompatible // but no-op!
@NullMarked
public final class SerializableTester {
  private SerializableTester() {}

  /**

    BloomFilter<Integer> bf2 = BloomFilter.create(Funnels.integerFunnel(), 10);

    assertFalse(bf1.isCompatible(bf2));
    assertThrows(
        IllegalArgumentException.class,
        () -> {
          bf1.putAll(bf2);
        });

    assertFalse(bf2.isCompatible(bf1));
    assertThrows(
        IllegalArgumentException.class,
        () -> {
          bf2.putAll(bf1);
        });

    *   reflector_list_duration_seconds
    *   reflector_lists_total
    *   reflector_short_watches_total
    *   reflector_watch_duration_seconds
    *   reflector_watches_total
    * While this is a backwards-incompatible change, it would have been impossible to setup reliable monitoring around these metrics since the labels were not stable. 



# v1.13.4

[Documentation](https://docs.k8s.io)

## Downloads for v1.13.4

Fess provides a [Google Search Appliance](https://enterprise.google.com/search/products/gsa.html) (GSA) compatible API. To enable this API, set `web.api.gsa=true` to system.properties. This will enable an enpoint at `<Fess Server Name>:8080/gsa`. When a search query is sent to `<Fess Server Name>:8080/gsa/?q=QUERY`, a GSA compatible response will be returned

@SuppressWarnings("checkstyle:InterfaceIsType")
public interface Language extends ExtensibleEnum {

    /**
     * The "none" language. It is not versioned, family is same to itself, and compatible with itself only.
     * In turn, every {@link Language} implementation must be compatible with {@code NONE} language.
     */
    Language NONE = language("none");

    /**

    BloomFilter<Integer> bf2 = BloomFilter.create(Funnels.integerFunnel(), 10);

    assertFalse(bf1.isCompatible(bf2));
    assertThrows(
        IllegalArgumentException.class,
        () -> {
          bf1.putAll(bf2);
        });

    assertFalse(bf2.isCompatible(bf1));
    assertThrows(
        IllegalArgumentException.class,
        () -> {
          bf2.putAll(bf1);
        });