## 响应模型编码参数

你的响应模型可以具有默认值，例如：

```Python hl_lines="11  13-14"
{!../../../docs_src/response_model/tutorial004.py!}
```

* `description: Union[str, None] = None` 具有默认值 `None`。
* `tax: float = 10.5` 具有默认值 `10.5`.
* `tags: List[str] = []` 具有一个空列表作为默认值： `[]`.

但如果它们并没有存储实际的值，你可能想从结果中忽略它们的默认值。

举个例子，当你在 NoSQL 数据库中保存了具有许多可选属性的模型，但你又不想发送充满默认值的很长的 JSON 响应。

* Создайте файл `main.py` и заполните его:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

from typing import Optional, Union

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

app = FastAPI()


class Item(BaseModel):
    name: Optional[str] = None


class ExtendedItem(Item):
    age: int


@app.post("/items/")
def save_union_different_body(item: Union[ExtendedItem, Item]):
    return {"item": item}

Das gleiche wird passieren, wenn Sie eine <abbr title='Eine Union mehrerer Typen bedeutet: „Irgendeiner dieser Typen“'>Union</abbr> mehrerer Typen haben, und einer oder mehrere sind nicht gültige Pydantic-Typen. Zum Beispiel funktioniert folgendes nicht 💥:

=== "Python 3.10+"

    ```Python hl_lines="8"

```Python
q: str
```

statt:

```Python
q: Union[str, None] = None
```

Aber jetzt deklarieren wir den Parameter mit `Query`, wie in:

=== "Annotiert"

    ```Python
    q: Annotated[Union[str, None], Query(min_length=3)] = None
    ```

=== "Nicht annotiert"

    ```Python
    q: Union[str, None] = Query(default=None, min_length=3)
    ```

    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_text("GET/items/Read Items").click()
    page.get_by_role("button", name="Try it out").click()
    page.get_by_role("button", name="Execute").click()
    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image02.png"
    )

    # ---------------------
    context.close()

def get_graphql_response(
    *,
    settings: Settings,
    query: str,
    after: Union[str, None] = None,
    category_id: Union[str, None] = None,
    discussion_number: Union[int, None] = None,
    discussion_id: Union[str, None] = None,
    comment_id: Union[str, None] = None,
    body: Union[str, None] = None,
) -> Dict[str, Any]:
    headers = {"Authorization": f"token {settings.input_token.get_secret_value()}"}

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


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

    class Config:
        schema_extra = {
            "examples": [
                {
                    "name": "Foo",
                    "description": "A very nice Item",

class Token(BaseModel):
    access_token: str
    token_type: str


class TokenData(BaseModel):
    username: Union[str, None] = None
    scopes: List[str] = []


class User(BaseModel):
    username: str
    email: Union[str, None] = None
    full_name: Union[str, None] = None
    disabled: Union[bool, None] = None


class UserInDB(User):
    hashed_password: str

class Labels(BaseModel):
    nodes: List[LabelNode]


class ReviewNode(BaseModel):
    author: Union[Author, None] = None
    state: str


class Reviews(BaseModel):
    nodes: List[ReviewNode]


class PullRequestNode(BaseModel):
    number: int
    labels: Labels
    author: Union[Author, None] = None
    title: str
    createdAt: datetime
    state: str
    comments: Comments