```

This would mean that **FastAPI** would expect a body similar to:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

Again, doing just that declaration, with **FastAPI** you get:

                    "Event": {
                        "title": "Event",
                        "required": ["name", "total"],
                        "type": "object",
                        "properties": {
                            "name": {"title": "Name", "type": "string"},
                            "total": {"title": "Total", "type": "number"},
                        },
                    },
                    "HTTPValidationError": {

```

これは **FastAPI** が以下のようなボディを期待することを意味します:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

繰り返しになりますが、**FastAPI** を使用して、その宣言を行うだけで以下のような恩恵を受けられます:

    ```

这意味着 **FastAPI** 将期望类似于以下内容的请求体：

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

再一次，仅仅进行这样的声明，你将通过 **FastAPI** 获得：

* 对被嵌入的模型也适用的编辑器支持（自动补全等）
* 数据转换

    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `14:23:55.003`.
* `datetime.timedelta`:
    * A Python `datetime.timedelta`.
    * In requests and responses will be represented as a `float` of total seconds.
    * Pydantic also allows representing it as a "ISO 8601 time diff encoding", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">see the docs for more info</a>.

    ```

👉 🔜 ⛓ 👈 **FastAPI** 🔜 ⌛ 💪 🎏:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

🔄, 🤸 👈 📄, ⏮️ **FastAPI** 👆 🤚:

* 👨‍🎨 🐕‍🦺 (🛠️, ♒️), 🐦 🏷
* 💽 🛠️

# Ref: https://json-schema.org/draft/2020-12/json-schema-core.html#name-json-schema-documents
# A JSON Schema MUST be an object or a boolean.
SchemaOrBool = Union[Schema, bool]


class Example(TypedDict, total=False):
    summary: Optional[str]
    description: Optional[str]
    value: Optional[Any]
    externalValue: Optional[AnyUrl]

    if PYDANTIC_V2:  # type: ignore [misc]

    author_link: https://nickc1.github.io/
    link: https://nickc1.github.io/api,/scikit-learn/2019/01/10/scikit-fastapi.html
    title: 'FastAPI and Scikit-Learn: Easily Deploy Models'
  - author: Errieta Kostala
    author_link: https://dev.to/errietta
    link: https://dev.to/errietta/introduction-to-the-fastapi-python-framework-2n10
    title: Introduction to the fastapi python framework
  - author: Nils de Bruin

### Is concurrency better than parallelism?

Nope! That's not the moral of the story.

    client = TestClient(app)
    return client


@needs_pydanticv1
def test_filter_sub_model(client: TestClient):
    response = client.get("/model/modelA")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "modelA",
        "description": "model-a-desc",
        "model_b": {"username": "test-user"},
    }


@needs_pydanticv1