# Beispiel-Request-Daten deklarieren { #declare-request-example-data }

Sie können Beispiele für die Daten deklarieren, die Ihre App empfangen kann.

Hier sind mehrere Möglichkeiten, das zu tun.

## Zusätzliche JSON-Schemadaten in Pydantic-Modellen { #extra-json-schema-data-in-pydantic-models }

Sie können `examples` („Beispiele“) für ein Pydantic-Modell deklarieren, welche dem generierten JSON-Schema hinzugefügt werden.

  We'll examine the different parts of maven-core on a case-by-case
  basis, below:

*** DefaultLifecycleExecutor

  When binding goals to the project's configured lifecycle, each mojo
  descriptor should declare whether it requires online/offline status.
  This value should be a java.lang.Boolean, so it can implement 3VL
  (three value logic: yes, no, don't-care). The requiresOnline

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date

Vous écrivez du python standard avec des annotations de types:

```Python
from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str

```

### NetworkPolicy

To enable network policy for MinIO,
install [a networking plugin that implements the Kubernetes
NetworkPolicy spec](https://kubernetes.io/docs/tasks/administer-cluster/declare-network-policy#before-you-begin),
and set `networkPolicy.enabled` to `true`.

For Kubernetes v1.5 & v1.6, you must also turn on NetworkPolicy by setting

Estes tipos que possuem tipos internos são chamados de tipos "**genéricos**". E é possível declará-los mesmo com os seus tipos internos.

Para declarar esses tipos e os tipos internos, você pode usar o módulo Python padrão `typing`. Ele existe especificamente para suportar esses type hints.

    </server>
    -->
  </servers>

  <!-- mirrors
   | This is a list of mirrors to be used in downloading artifacts from remote repositories.
   |
   | It works like this: a POM may declare a repository to use in resolving certain artifacts.
   | However, this repository may have problems with heavy traffic at times, so people have mirrored
   | it to several places.
   |

</div>

### Create the `Settings` object { #create-the-settings-object }

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

q: Annotated[str | None, Query(min_length=3)] = None
```

Así que, cuando necesites declarar un valor como requerido mientras usas `Query`, simplemente puedes no declarar un valor por defecto:

{* ../../docs_src/query_params_str_validations/tutorial006_an_py39.py hl[9] *}

### Requerido, puede ser `None` { #required-can-be-none }

Имейте в виду, что в этом случае FastAPI не будет проверять содержимое списка.

Например, `list[int]` проверит (и задокументирует), что элементы списка — целые числа. А просто `list` — нет.

///

## Больше метаданных { #declare-more-metadata }

Можно добавить больше информации о параметре.

Эта информация будет включена в сгенерированную OpenAPI-схему и использована интерфейсами документации и внешними инструментами.