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

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

## Usando el `jsonable_encoder` { #using-the-jsonable-encoder }

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

`Field(primary_key=True)` le dice a SQLModel que `id` es la **clave primaria** en la base de datos SQL (puedes aprender más sobre claves primarias de SQL en la documentación de SQLModel).

    Nota: Usamos `int | None` para el campo de clave primaria para que en el código Python podamos *crear un objeto sin un `id`* (`id=None`), asumiendo que la base de datos lo *generará al guardar*. SQLModel entiende que la base de datos proporcionará el `id` y *define la columna como un `INTEGER` no nulo* en...

* Des évènements de démarrages et d'arrêt.
* Un client de test basé sur `request`
* **CORS**, GZip, Static Files, Streaming responses.
* Le support des **Sessions et Cookies**.
* Une couverture de test à 100 %.
* 100 % de la base de code avec des annotations de type.

## Fonctionnalités de Pydantic

     * during model building, based on the POM schema version.
     * <p>
     * The validation levels are cumulative, with higher versions including all validations
     * from lower versions plus additional checks specific to that version.
     */
    enum Version {
        /**
         * Base validation level that applies to all POM versions.

			return base.Transaction(func(tx *DB) error {
				assocDB.Statement.ConnPool = tx.Statement.ConnPool
				base.Statement.ConnPool = tx.Statement.ConnPool

				if err := assocDB.Where("? IN (?)", primaryColumns, base.Select(ownerFKNames)).Delete(assocModel).Error; err != nil {
					return err
				}
				return base.Updates(fkNil).Error
			})
		case clause.OpUnlink:
			return base.Updates(fkNil).Error
		case clause.OpUpdate:

    "name": "base-ide-plugins",
    "path": "platforms/ide/base-ide-plugins",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "base-services",
    "path": "platforms/core-runtime/base-services",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "base-services-groovy",

		{Name: "ID", DBName: "company_id", BindNames: []string{"Base", "ID"}, DataType: schema.Int, Size: 64, TagSettings: map[string]string{"EMBEDDED": "EMBEDDED", "EMBEDDEDPREFIX": "company_"}},
		{Name: "Name", DBName: "company_name", BindNames: []string{"Base", "Name"}, DataType: schema.String, TagSettings: map[string]string{"EMBEDDED": "EMBEDDED", "EMBEDDEDPREFIX": "company_"}},

    /**
     * Creates a path matcher for filtering files based on include and exclude patterns.
     * <p>
     * The pathnames used for matching will be relative to the specified base directory
     * and use {@code '/'} as separator, regardless of the hosting operating system.
     *
     * @param baseDirectory the base directory for relativizing paths during matching

Il nécessite une configuration un peu plus verbeuse. Et comme il est basé sur WSGI (au lieu dASGI), il n'est pas
conçu pour profiter des hautes performances fournies par des outils comme Uvicorn, Starlette et Sanic.

When a user provides their LDAP credentials, MinIO runs a lookup query to find the user's Distinguished Name (DN). The search filter and base DN used in this lookup query are configured via the following variables:

```
MINIO_IDENTITY_LDAP_USER_DN_SEARCH_BASE_DN*  (list)      ";" separated list of user search base DNs e.g. "dc=myldapserver,dc=com"
MINIO_IDENTITY_LDAP_USER_DN_SEARCH_FILTER*   (string)    Search filter to lookup user DN
```