# Body – Verschachtelte Modelle { #body-nested-models }

Mit **FastAPI** können Sie (dank Pydantic) beliebig tief verschachtelte Modelle definieren, validieren, dokumentieren und verwenden.

## Listen als Felder { #list-fields }

Sie können ein Attribut als Kindtyp definieren, zum Beispiel eine Python-`list`.

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

And it will be annotated / documented accordingly too.

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

All that, arbitrarily nested.

### Define a submodel { #define-a-submodel }

# Corpo - Modelos aninhados { #body-nested-models }

Com o **FastAPI**, você pode definir, validar, documentar e usar modelos arbitrariamente e profundamente aninhados (graças ao Pydantic).

## Campos do tipo Lista { #list-fields }

Você pode definir um atributo como um subtipo. Por exemplo, uma `list` do Python:

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

# Body - Вложенные модели { #body-nested-models }

С помощью **FastAPI** вы можете определять, валидировать, документировать и использовать модели произвольной глубины вложенности (благодаря Pydantic).

## Поля-списки { #list-fields }

Вы можете определить атрибут как подтип. Например, Python-тип `list`:

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

*PrivateKey { fipsSelfTest() fips140.RecordApproved() var seed [32]byte drbg.Read(seed[:]) priv := newPrivateKey(&seed, params44) fipsPCT(priv) return priv } func GenerateKey65() *PrivateKey { fipsSelfTest() fips140.RecordApproved() var seed [32]byte drbg.Read(seed[:]) priv := newPrivateKey(&seed, params65) fipsPCT(priv) return priv } func GenerateKey87() *PrivateKey { fipsSelfTest() fips140.RecordApproved() var seed [32]byte drbg.Read(seed[:]) priv := newPrivateKey(&seed, params87) fipsPCT(priv)...

This way, its schema will show up in the API docs user interface:

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses in Nested Data Structures { #dataclasses-in-nested-data-structures }

You can also combine `dataclasses` with other type annotations to make nested data structures.

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    // Query Reserved Characters and Patterns
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    /** Array of reserved characters for query processing. */
    public static final String[] RESERVED =
            { "\\", "+", "-", "&&", "||", "!", "(", ")", "{", "}", "[", "]", "^", "~", "*", "?", ";", ":", "/" };

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#!/bin/bash
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