Wenn Sie nun zu:

```
http://127.0.0.1:8000/items/foo?short=1
```

oder

```
http://127.0.0.1:8000/items/foo?short=True
```

oder

```
http://127.0.0.1:8000/items/foo?short=true
```

oder

```
http://127.0.0.1:8000/items/foo?short=on
```

oder

```
http://127.0.0.1:8000/items/foo?short=yes
```

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = Field(
        default=None, title="The description of the item", max_length=300
    )
    price: float = Field(gt=0, description="The price must be greater than zero")
    tax: float | None = None


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

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item,
    user: User,
    importance: int = Body(gt=0),

      "input": null
    }
  ]
}
```

`needy` 是必选参数，因此要在 URL 中设置值：

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

...这样就正常了：

```JSON
{
    "item_id": "foo-item",
    "needy": "sooooneedy"
}
```

当然，把一些参数定义为必选，为另一些参数设置默认值，再把其它参数定义为可选，这些操作都是可以的：

{* ../../docs_src/query_params/tutorial006_py310.py hl[8] *}

本例中有 3 个查询参数：

        assertFalse(item1.equals(item3));

        // Item with null output should not equal item with different inputs
        CharMappingItem item4 = new CharMappingItem(4L, inputs3, null);
        assertFalse(item1.equals(item4));

        // Symmetry
        assertTrue(item1.equals(item2));
        assertTrue(item2.equals(item1));
    }

    @Test
    public void test_toString() {

		Number2: 200,
		Number3: 300.1,
		Now:     &now,
		Item1: &QueryResetItem{
			ID:   "u_1_1",
			Name: "item_1_1",
		},
		Item2: &QueryResetItem{
			ID:   "u_1_2",
			Name: "item_1_2",
		},
	}

	q2 := QueryResetNullValue{
		Item1: &QueryResetItem{
			ID:   "u_2_1",
			Name: "item_2_1",
		},
		Item2: &QueryResetItem{
			ID:   "u_2_2",
			Name: "item_2_2",
		},

from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None
    size: float


class ItemV2(BaseModelV2):
    name: str
    description: str | None = None
    size: float


app = FastAPI()


@app.post("/items/", response_model=ItemV2)
async def create_item(item: Item):

///

## Another module with `APIRouter` { #another-module-with-apirouter }

Let's say you also have the endpoints dedicated to handling "items" from your application in the module at `app/routers/items.py`.

You have *path operations* for:

* `/items/`
* `/items/{item_id}`

It's all the same structure as with `app/routers/users.py`.

But we want to be smarter and simplify the code a bit.

///

Это означает: «переменная `items` — это `list`, и каждый элемент этого списка — `str`».

Таким образом, ваш редактор кода сможет помогать даже при обработке элементов списка:

<img src="/img/python-types/image05.png">

Без типов добиться этого почти невозможно.

Обратите внимание, что переменная `item` — один из элементов списка `items`.