+ "<field name=\"title\">タイトル</field>\n"//
                + "<field name=\"body\">第一章 第一節 ほげほげふがふが LINK 第2章 第2節</field>\n"//
                + "<field name=\"list\"><list><item>リスト1</item><item>リスト2</item><item>リスト3</item></list></field>\n"//
                + "</doc>";

        final AccessResultDataImpl accessResultDataImpl = new AccessResultDataImpl();

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


app = FastAPI()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str
    email: str


@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):
    return {"message": "Item received"}

    }

    /**
     * Checks whether this mapping item has pending updates.
     *
     * @return true if both newInputs and newOutput are not null, indicating pending updates
     */
    public boolean isUpdated() {
        return newInputs != null && newOutput != null;
    }

    /**
     * Checks whether this mapping item is marked for deletion.

from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: str | None = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

        byte[] dk = deriveKeyAES(baseKey, cst); // Checksum key
        try {
            Mac m = Mac.getInstance("HmacSHA1");
            m.init(new SecretKeySpec(dk, HMAC_KEY));
            System.arraycopy(m.doFinal(input), 0, output, 0, 12);
            return output;
        } finally {
            Arrays.fill(dk, 0, dk.length, (byte) 0);
        }
    }

    /**

Fess also contains a Crawler, which can crawl documents on a [web server](https://fess.codelibs.org/15.3/admin/webconfig-guide.html), [file system](https://fess.codelibs.org/15.3/admin/fileconfig-guide.html), or [Data Store](https://fess.codelibs.org/15.3/admin/dataconfig-guide.html) (such as a CSV or database)....

        "/items/",
        json={
            "name": "Foo",
            "description": "Item description",
            "price": 42.0,
            "tax": 3.2,
            "tags": ["bar", "baz"],
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "Foo",
        "description": "Item description",
        "price": 42.0,
        "tax": 3.2,

Suponha que você tem um único parâmetro de corpo `item`, a partir de um modelo Pydantic `Item`.

Por padrão, o **FastAPI** esperará que seu conteúdo venha no corpo diretamente.

Mas se você quiser que ele espere por um JSON com uma chave `item` e dentro dele os conteúdos do modelo, como ocorre ao declarar vários parâmetros de corpo, você pode usar o parâmetro especial de `Body` chamado `embed`:

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

app = FastAPI()


class Item(BaseModel):
    name: str = Field(examples=["Foo"])
    description: str | None = Field(default=None, examples=["A very nice Item"])
    price: float = Field(examples=[35.4])
    tax: float | None = Field(default=None, examples=[3.2])


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}