Ocultar la documentación solo hace que sea más difícil entender cómo interactuar con tu API y podría dificultar más depurarla en producción. Podría considerarse simplemente una forma de [Seguridad mediante oscuridad](https://en.wikipedia.org/wiki/Security_through_obscurity).

Si quieres asegurar tu API, hay varias cosas mejores que puedes hacer, por ejemplo:

* Asegúrate de tener modelos Pydantic bien definidos para tus request bodies y responses.

For example, it doesn't receive `datetime` objects, as those are not compatible with JSON.

So, a `datetime` object would have to be converted to a `str` containing the data in [ISO format](https://en.wikipedia.org/wiki/ISO_8601).

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

I normally give the final review to each PR before merging them. I make the final decisions on the project, I'm the [<abbr title="Benevolent Dictator For Life">BDFL</abbr>](https://en.wikipedia.org/wiki/Benevolent_dictator_for_life). 😅

## Team

There's a team of people that help manage and maintain the project. 😎

They have different levels of permissions and [specific instructions](./management-tasks.md).

Наприклад, вона не приймає об'єкти типу `datetime`, оскільки вони не сумісні з JSON.

Отже, об'єкт типу `datetime` потрібно перетворити на `str`, який містить дані в [форматі ISO](https://en.wikipedia.org/wiki/ISO_8601).

Так само ця база даних не прийматиме модель Pydantic (об'єкт з атрибутами), а лише `dict`.

Ви можете використовувати `jsonable_encoder` для цього.

 * service. Subclasses should override one or more methods to modify the behavior of the backing
 * executor service as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>{@code default} method warning:</b> This class does <i>not</i> forward calls to {@code

Par exemple, elle ne reçoit pas d'objets `datetime`, car ceux-ci ne sont pas compatibles avec JSON.

Ainsi, un objet `datetime` doit être converti en une `str` contenant les données au [format ISO](https://en.wikipedia.org/wiki/ISO_8601).

De la même manière, cette base de données n'accepterait pas un modèle Pydantic (un objet avec des attributs), seulement un `dict`.

Vous pouvez utiliser `jsonable_encoder` pour cela.

Por exemplo, ele não recebe objetos `datetime`, pois estes objetos não são compatíveis com JSON.

Então, um objeto `datetime` teria que ser convertido em um `str` contendo os dados no [formato ISO](https://en.wikipedia.org/wiki/ISO_8601).

Da mesma forma, este banco de dados não receberia um modelo Pydantic (um objeto com atributos), apenas um `dict`.

Você pode usar a função `jsonable_encoder` para resolver isso.

為此，**FastAPI** 提供了 `jsonable_encoder()` 函式。

## 使用 `jsonable_encoder` { #using-the-jsonable-encoder }

想像你有一個只接受與 JSON 相容資料的資料庫 `fake_db`。

例如，它不接受 `datetime` 物件，因為那與 JSON 不相容。

因此，必須將 `datetime` 物件轉為一個以 [ISO 格式](https://en.wikipedia.org/wiki/ISO_8601) 表示資料的 `str`。

同樣地，這個資料庫不會接受 Pydantic 模型（帶有屬性的物件），只接受 `dict`。

你可以使用 `jsonable_encoder` 來處理。

它接收一個物件（例如 Pydantic 模型），並回傳一個與 JSON 相容的版本：

      required: false
  - type: textarea
    id: steps-to-reproduce
    attributes:
      label: Self-contained Reproducer Project
      description: |
        Provide a [minimal, self-contained example](https://en.wikipedia.org/wiki/Minimal_reproducible_example) project demonstrating the problem as a GitHub repository or an attached archive.

/**
 * A list iterator which forwards all its method calls to another list iterator. Subclasses should
 * override one or more methods to modify the behavior of the backing iterator as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>{@code default} method warning:</b> This class forwards calls to <i>only some</i> {@code