其他有用的场景是当你想要接收其他类型的键时，例如 `int`。

这也是我们在接下来将看到的。

在下面的例子中，你将接受任意键为 `int` 类型并且值为 `float` 类型的 `dict`：

{* ../../docs_src/body_nested_models/tutorial009_py39.py hl[7] *}

/// tip

请记住 JSON 仅支持将 `str` 作为键。

但是 Pydantic 具有自动转换数据的功能。

这意味着，即使你的 API 客户端只能将字符串作为键发送，只要这些字符串内容仅包含整数，Pydantic 就会对其进行转换并校验。

然后你接收的名为 `weights` 的 `dict` 实际上将具有 `int` 类型的键和 `float` 类型的值。

///

## 总结

      "input": "foo"
    }
  ]
}
```

из-за того, что параметр пути `item_id` имеет значение `"foo"`, которое не является типом `int`.

Та же ошибка возникнет, если вместо `int` передать `float`, например: <a href="http://127.0.0.1:8000/items/4.2" class="external-link" target="_blank">http://127.0.0.1:8000/items/4.2</a>

/// check | Заметка

                "input": "True",
            }
        ]
    }


def test_path_float_42():
    response = client.get("/path/float/42")
    assert response.status_code == 200
    assert response.json() == 42


def test_path_float_42_5():
    response = client.get("/path/float/42.5")
    assert response.status_code == 200
    assert response.json() == 42.5


def test_path_bool_foobar():

    from pydantic import Discriminator, Tag

    class Cat(BaseModel):
        pet_type: str = "cat"
        meows: int

    class Dog(BaseModel):
        pet_type: str = "dog"
        barks: float

    def get_pet_type(v):
        assert isinstance(v, dict)
        return v.get("pet_type", "")

    Pet = Annotated[
        Union[Annotated[Cat, Tag("cat")], Annotated[Dog, Tag("dog")]],

    }

    @Override
    public MetadataGenerator newInstance(RepositorySystemSession session, DeployRequest request) {
        return new PluginsMetadataGenerator(session, request);
    }

    @Override
    public float getPriority() {
        return 10; // G level MD should be deployed as 3rd MD
    }

    @Override
    public MetadataGenerator newInstance(RepositorySystemSession session, DeployRequest request) {
        return new RemoteSnapshotMetadataGenerator(session, request);
    }

    @Override
    public float getPriority() {
        return 30; // GAV level metadata should be deployed 1st MD
    }

    @Override
    public MetadataGenerator newInstance(RepositorySystemSession session, DeployRequest request) {
        return new VersionsMetadataGenerator(session, request);
    }

    @Override
    public float getPriority() {
        return 20; // GA level metadata should be deployed 2nd MD
    }

from typing import Optional

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None
    owner_ids: Optional[list[int]] = None


@app.get("/items/valid", response_model=Item)
def get_valid():
    return {"name": "valid", "price": 1.0}


@app.get("/items/coerce", response_model=Item)

  @Override
  void writeShort(int v);

  @Override
  void writeChar(int v);

  @Override
  void writeInt(int v);

  @Override
  void writeLong(long v);

  @Override
  void writeFloat(float v);

  @Override
  void writeDouble(double v);

  @Override
  void writeChars(String s);

  @Override
  void writeUTF(String s);

  /**

from fastapi import APIRouter, FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: Union[str, None] = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()