## Importe `Field`

Primeiro, você tem que importá-lo:

```Python hl_lines="4"
{!../../docs_src/body_fields/tutorial001.py!}
```

/// warning | "Aviso"

Note que `Field` é importado diretamente do `pydantic`, não do `fastapi` como todo o resto (`Query`, `Path`, `Body`, etc).

///

## Fonctionnalités de Pydantic

**FastAPI** est totalement compatible avec (et basé sur) <a href="https://docs.pydantic.dev/" class="external-link" target="_blank"><strong>Pydantic</strong></a>. Le code utilisant Pydantic que vous ajouterez fonctionnera donc aussi.

If you use <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> as your editor, you can use the <a href="https://github.com/koxudaxi/pydantic-pycharm-plugin/" class="external-link" target="_blank">Pydantic PyCharm Plugin</a>.

It improves editor support for Pydantic models, with:

* auto-completion
* type checks
* refactoring
* searching
* inspections

///

## Use the model

{!> ../../docs_src/extra_models/tutorial001.py!}
```

////

### `**user_in.dict()` 简介

#### Pydantic 的 `.dict()`

`user_in` 是类 `UserIn` 的 Pydantic 模型。

Pydantic 模型支持 `.dict()` 方法，能返回包含模型数据的**字典**。

因此，如果使用如下方式创建 Pydantic 对象 `user_in`：

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

就能以如下方式调用：

```Python

                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "q"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }

/// tip | "팁"

만약 <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>를 편집기로 사용한다면, <a href="https://github.com/koxudaxi/pydantic-pycharm-plugin/" class="external-link" target="_blank">Pydantic PyCharm Plugin</a>을 사용할 수 있습니다.

다음 사항을 포함해 Pydantic 모델에 대한 편집기 지원을 향상시킵니다:

* 자동 완성
* 타입 확인
* 리팩토링
* 검색
* 점검

///

## 모델 사용하기

함수 안에서 모델 객체의 모든 어트리뷰트에 직접 접근 가능합니다:

* 100% پوشش با تست.
* 100% کد براساس type annotate ها.

## ویژگی های Pydantic

**FastAPI** کاملا (و براساس) با <a href="https://docs.pydantic.dev/" class="external-link" target="_blank"><strong>Pydantic</strong></a> سازگار است. بنابراین هرکد Pydantic اضافی که داشته باشید، نیز کار خواهد کرد.

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

* Base de código 100% anotada con tipos.

## Características de Pydantic

**FastAPI** está basado y es completamente compatible con <a href="https://docs.pydantic.dev/" class="external-link" target="_blank"><strong>Pydantic</strong></a>. Tanto así, que cualquier código de Pydantic que tengas también funcionará.

from docs_src.custom_response.tutorial006c import app

client = TestClient(app)


def test_redirect_status_code():
    response = client.get("/pydantic", follow_redirects=False)
    assert response.status_code == 302
    assert response.headers["location"] == "https://docs.pydantic.dev/"


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text