これを使うことで、デフォルト値を省略して、設定された（リクエストで送られた）データのみを含む`dict`を生成することができます:

```Python hl_lines="34"
{!../../../docs_src/body_updates/tutorial002.py!}
```

### Pydanticの`update`パラメータ

ここで、`.copy()`を用いて既存のモデルのコピーを作成し、`update`パラメータに更新するデータを含む`dict`を渡すことができます。

`stored_item_model.copy(update=update_data)`のように:

```Python hl_lines="35"
{!../../../docs_src/body_updates/tutorial002.py!}
```

### 部分的更新のまとめ

まとめると、部分的な更新を適用するには、次のようにします:

=== "Python 3.10+"

    ```Python hl_lines="18-20"
    {!> ../../../docs_src/body_multiple_params/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="18-20"
    {!> ../../../docs_src/body_multiple_params/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="19-21"
    {!> ../../../docs_src/body_multiple_params/tutorial001_an.py!}
    ```

=== "Python 3.10+ non-Annotated"

```Python
item: Item = Body(embed=True)
```

como em:

=== "Python 3.10+"

    ```Python hl_lines="15"
    {!> ../../../docs_src/body_multiple_params/tutorial005_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="17"
    {!> ../../../docs_src/body_multiple_params/tutorial005.py!}
    ```

### Defina um sub-modelo

Por exemplo, nós podemos definir um modelo `Image`:

```Python hl_lines="9-11"
{!../../../docs_src/body_nested_models/tutorial004.py!}
```

### Use o sub-modelo como um tipo

E então podemos usa-lo como o tipo de um atributo:

```Python hl_lines="20"
{!../../../docs_src/body_nested_models/tutorial004.py!}
```

Isso significa que o **FastAPI** vai esperar um corpo similar à:

```JSON
{

app = FastAPI()


class Item(BaseModel):
    name: str
    age: condecimal(gt=Decimal(0.0))  # type: ignore


@app.post("/items/")
def save_item_no_body(item: List[Item]):
    return {"item": item}


client = TestClient(app)


def test_put_correct_body():
    response = client.post("/items/", json=[{"name": "Foo", "age": 5}])
    assert response.status_code == 200, response.text
    assert response.json() == {

                                            {
                                                "$ref": "#/components/schemas/Body_read_items_items__post"
                                            }
                                        ],
                                        "title": "Body",
                                    }
                                )
                                | IsDict(

    return client


@needs_py39
def test_post_form_no_body(client: TestClient):
    response = client.post("/files/")
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["body", "file"],
                    "msg": "Field required",

    body_schema = get_schema_from_model_field(
        field=body_field,
        schema_generator=schema_generator,
        model_name_map=model_name_map,
        field_mapping=field_mapping,
        separate_input_output_schemas=separate_input_output_schemas,
    )
    field_info = cast(Body, body_field.field_info)
    request_media_type = field_info.media_type
    required = body_field.required

                    "required": ["file"],
                    "type": "object",
                    "properties": {
                        "file": {"title": "File", "type": "string", "format": "binary"}
                    },
                },
                "Body_create_file_files__post": {
                    "title": "Body_create_file_files__post",
                    "required": ["file"],

from typing import Annotated
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: Annotated[datetime, Body()],
    end_datetime: Annotated[datetime, Body()],
    process_after: Annotated[timedelta, Body()],
    repeat_at: Annotated[time | None, Body()] = None,
):
    start_process = start_datetime + process_after