De la misma manera, esta base de datos no recibiría un modelo de Pydantic (un objeto con atributos), solo un `dict`.

Puedes usar `jsonable_encoder` para eso.

Recibe un objeto, como un modelo de Pydantic, y devuelve una versión compatible con JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.

Genauso würde die Datenbank kein Pydantic-Modell (ein Objekt mit Attributen) akzeptieren, sondern nur ein `dict`.

Sie können für diese Fälle `jsonable_encoder` verwenden.

Es nimmt ein Objekt entgegen, wie etwa ein Pydantic-Modell, und gibt eine JSON-kompatible Version zurück:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

  </build>
  <modules>
    <module>maven-core</module>
    <module>apache-maven</module>
    <module>maven-model</module>
    <module>maven-plugin-api</module>
    <module>maven-project</module>
    <module>maven-reporting-api</module>
    <module>maven-project-builder</module>
    <module>maven-mercury</module>
    <module>maven-embedder</module>
    <module>maven-toolchain</module>

     * This method finds out whether collecting projects failed because of the following scenario:
     * - A multi-module project containing a module which is a plugin and another module which depends on it.
     * - Just the plugin is being built with the -f <pom> flag.
     * - Because of inter-module dependency collection, all projects in the multi-module project are collected.
     * - The plugin is not yet installed in a repository.
     *

    <version>11-SNAPSHOT</version>
  </parent>

  <groupId>inheritance</groupId>
  <artifactId>child-artifact-id</artifactId>
  <version>11-SNAPSHOT</version>
  <name>Model urls inheritance test child</name>
  <description>Flat directory structure case: module = ../child-artifact-id + child directory path != child-artifact-id</description>

  <!-- 5 inherited urls with ../${project.artifactId} added to parent -->

        // ArtifactId may differ only for multi-module projects, in which case
        // it must match the module name from a source root in modular sources.
        boolean isMultiModule = false;
        boolean validArtifactId = Objects.equals(a1, a2);
        for (SourceRoot sr : getSourceRoots(project)) {
            Optional<String> moduleName = sr.module();
            if (moduleName.isPresent()) {

import org.apache.maven.lifecycle.mapping.LifecycleMojo;
import org.apache.maven.lifecycle.mapping.LifecyclePhase;
import org.apache.maven.model.InputLocation;
import org.apache.maven.model.InputSource;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.codehaus.plexus.util.xml.Xpp3Dom;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

from typing import Annotated, Optional

from annotated_doc import Doc
from fastapi.openapi.models import OpenIdConnect as OpenIdConnectModel
from fastapi.security.base import SecurityBase
from starlette.exceptions import HTTPException
from starlette.requests import Request
from starlette.status import HTTP_401_UNAUTHORIZED


class OpenIdConnect(SecurityBase):
    """
    OpenID Connect authentication class. An instance of it would be used as a

<img src="/img/python-types/image06.png">

Notice that this means "`one_person` is an **instance** of the class `Person`".

It doesn't mean "`one_person` is the **class** called `Person`".

## Pydantic models { #pydantic-models }

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info

For a more complete explanation of `**user_dict` check back in [the documentation for **Extra Models**](../extra-models.md#about-user-in-dict){.internal-link target=_blank}.

///

## Return the token { #return-the-token }

The response of the `token` endpoint must be a JSON object.