-   **חסונה**: קבלו קוד מוכן לסביבת ייצור. עם תיעוד אינטרקטיבי אוטומטי.
-   **מבוססת סטנדרטים**: מבוססת על (ותואמת לחלוטין ל -) הסטדנרטים הפתוחים לממשקי תכנות יישומים: <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> (ידועים לשעבר כ - Swagger) ו - <a href="https://json-schema.org/" class="external-link" target="_blank">JSON Schema</a>.

///

它接收的类型与你将为 Pydantic 模型属性所声明的类型相同，因此它可以是一个 Pydantic 模型，但也可以是一个由 Pydantic 模型组成的 `list`，例如 `List[Item]`。

FastAPI 将使用此 `response_model` 来：

* 将输出数据转换为其声明的类型。
* 校验数据。
* 在 OpenAPI 的*路径操作*中为响应添加一个 JSON Schema。
* 并在自动生成文档系统中使用。

但最重要的是：

* 会将输出数据限制在该模型定义内。下面我们会看到这一点有多重要。

/// note | "技术细节"

Also, the best approach was to use already existing standards.

So, before even starting to code **FastAPI**, I spent several months studying the specs for OpenAPI, JSON Schema, OAuth2, etc. Understanding their relationship, overlap, and differences.

## Design

Then I spent some time designing the developer "API" I wanted to have as a user (as a developer using FastAPI).

Também, a melhor abordagem era usar padrões já existentes.

Então, antes mesmo de começar a codificar o **FastAPI**, eu investi vários meses estudando as especificações do OpenAPI, JSON Schema, OAuth2 etc. Entendendo suas relações, sobreposições e diferenças.

## Design

Eu então dediquei algum tempo projetando a "API" de desenvolvimento que eu queria como usuário (como um desenvolvedor usando o FastAPI).

* **Robust**: Get production-ready code. With automatic interactive documentation.
* **Standards-based**: Based on (and fully compatible with) the open standards for APIs: <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> (previously known as Swagger) and <a href="https://json-schema.org/" class="external-link" target="_blank">JSON Schema</a>.

    WeakKeyDictionary()
)


def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
    if status_code is None:
        return True
    # Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
    if status_code in {
        "default",
        "1XX",
        "2XX",
        "3XX",
        "4XX",
        "5XX",
    }:
        return True

* **Валидации данных**: исходя из каждого запроса:
    * Генерации **автоматических ошибок**, возвращаемых клиенту, когда данные не являются корректными.
* **Документирования** API с использованием OpenAPI:
    * который затем используется пользовательскими интерфейсами автоматической интерактивной документации.

```Python hl_lines="4  10"
{!> ../../docs_src/body_nested_models/tutorial005.py!}
```

////

Es wird getestet, ob der String eine gültige URL ist, und als solche wird er in JSON Schema / OpenAPI dokumentiert.

## Attribute mit Listen von Kindmodellen

Sie können Pydantic-Modelle auch als Typen innerhalb von `list`, `set`, usw. verwenden:

//// tab | Python 3.10+

```Python hl_lines="18"

**FastAPI** will do the automatic conversion from the request, so that the parameter `item` receives its specific content and the same for `user`.

It will perform the validation of the compound data, and will document it like that for the OpenAPI schema and automatic docs.

## Singular values in body

The same way there is a `Query` and `Path` to define extra data for query and path parameters, **FastAPI** provides an equivalent `Body`.

Es wird die Validierung dieser zusammengesetzten Daten übernehmen, und sie im OpenAPI-Schema und der automatischen Dokumentation dokumentieren.

## Einzelne Werte im Body