// Populated by the API server on creation and immutable.
  // +listType=atomic
  // +optional
  repeated string groups = 4;

  // extra contains extra attributes of the user that created the CertificateSigningRequest.
  // Populated by the API server on creation and immutable.
  // +optional
  map<string, ExtraValue> extra = 6;
}

Isso significa que, se você quiser atualizar o item `bar` usando `PUT` com um corpo contendo:

```Python
{
    "name": "Barz",
    "price": 3,
    "description": None,
}
```

Como ele não inclui o atributo já armazenado `"tax": 20.2`, o modelo de entrada assumiria o valor padrão de `"tax": 10.5`.

E os dados seriam salvos com esse "novo" `tax` de `10.5`.

## Atualizações parciais com `PATCH`

  // Required.
  optional string type = 1;
}

// FlowSchema defines the schema of a group of flows. Note that a flow is made up of a set of inbound API requests with
// similar attributes and is identified by a pair of strings: the name of the FlowSchema and a "flow distinguisher".
message FlowSchema {
  // `metadata` is the standard object's metadata.

  <!-- can't tell from the root element whether this is fodt, fodp, etc.
     This is a made up general mime to cover the open office flat formats.
      Subtype detection can be done with the document:mime attribute in the root
      element and/or file extensions fodt...-->
  <mime-type type="application/vnd.oasis.opendocument.tika.flat.document">
    <_comment>OpenDocument v1.0: Flat Text document</_comment>

* a `/items/{item_id}` címre érkező `PUT` kérések esetén, a JSON-t a következőképpen olvassa be:
    * Ellenőrzi hogy létezik a kötelező `name` nevű attribútum és `string`.
    * Ellenőrzi hogy létezik a kötelező `price` nevű attribútum és `float`.
    * Ellenőrzi hogy létezik a `is_offer` nevű opcionális paraméter, ami ha létezik akkor `bool`
    * Ez ágyazott JSON objektumokkal is működik

	f.UncompressedSize64 = uint64(f.UncompressedSize)
	filenameLen := int(b.uint16())
	extraLen := int(b.uint16())
	commentLen := int(b.uint16())
	b = b[4:] // skipped start disk number and internal attributes (2x uint16)
	f.ExternalAttrs = b.uint32()
	f.headerOffset = int64(b.uint32())
	d := make([]byte, filenameLen+extraLen+commentLen)
	if _, err := io.ReadFull(r, d); err != nil {
		return err
	}

Utilize os tipos Python padrão para todos os atributos:

```Python hl_lines="7-11"
{!../../docs_src/body/tutorial001.py!}
```

Assim como quando declaramos parâmetros de consulta, quando um atributo do modelo possui um valor padrão, ele se torna opcional. Caso contrário, se torna obrigatório. Use `None` para torná-lo opcional.

Por exemplo, o modelo acima declara um JSON "`object`" (ou `dict` no Python) como esse:

```JSON

En héritant de `str` la documentation sera capable de savoir que les valeurs doivent être de type `string` et pourra donc afficher cette `Enum` correctement.

Créez ensuite des attributs de classe avec des valeurs fixes, qui seront les valeurs autorisées pour cette énumération.

```Python hl_lines="1  6-9"
{!../../docs_src/path_params/tutorial005.py!}
```

/// info

#### Data "schema"

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema

////

Diese zusätzlichen Informationen werden unverändert zum für dieses Modell ausgegebenen **JSON-Schema** hinzugefügt und in der API-Dokumentation verwendet.

//// tab | Pydantic v2

In Pydantic Version 2 würden Sie das Attribut `model_config` verwenden, das ein `dict` akzeptiert, wie beschrieben in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic-Dokumentation: Configuration</a>.