from tests.utils import needs_py39, needs_py310, needs_pydanticv1, needs_pydanticv2


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002", marks=needs_pydanticv2),
        pytest.param("tutorial002_py310", marks=[needs_py310, needs_pydanticv2]),
        pytest.param("tutorial002_an", marks=needs_pydanticv2),
        pytest.param("tutorial002_an_py39", marks=[needs_py39, needs_pydanticv2]),

from tests.utils import needs_py39, needs_py310, needs_pydanticv1, needs_pydanticv2


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002", marks=needs_pydanticv2),
        pytest.param("tutorial002_py310", marks=[needs_py310, needs_pydanticv2]),
        pytest.param("tutorial002_an", marks=needs_pydanticv2),
        pytest.param("tutorial002_an_py39", marks=[needs_py39, needs_pydanticv2]),

//// tab | Python 3.8 і вище

```Python hl_lines="21"
{!> ../../docs_src/body/tutorial002.py!}
```

////

//// tab | Python 3.10 і вище

```Python hl_lines="19"
{!> ../../docs_src/body/tutorial002_py310.py!}
```

////

## Тіло запиту + параметри шляху

Ви можете одночасно оголошувати параметри шляху та тіло запиту.

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

...then the `description` field will **not be required**. Because it has a default value of `None`.

///

## Das Modell verwenden

Innerhalb der Funktion können Sie alle Attribute des Modells direkt verwenden:

//// tab | Python 3.10+

```Python hl_lines="19"
{!> ../../docs_src/body/tutorial002_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="21"
{!> ../../docs_src/body/tutorial002.py!}
```

////

## Requestbody- + Pfad-Parameter

```Python hl_lines="2"
{!> ../../docs_src/body/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="4"
{!> ../../docs_src/body/tutorial001.py!}
```

////

## 创建数据模型

把数据模型声明为继承 `BaseModel` 的类。

使用 Python 标准类型声明所有属性：

//// tab | Python 3.10+

```Python hl_lines="5-9"
{!> ../../docs_src/body/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="21"
{!> ../../docs_src/body/tutorial002.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="19"
{!> ../../docs_src/body/tutorial002_py310.py!}
```

////

## 📨 💪 ➕ ➡ 🔢

👆 💪 📣 ➡ 🔢 & 📨 💪 🎏 🕰.

**FastAPI** 🔜 🤔 👈 🔢 🔢 👈 🏏 ➡ 🔢 🔜 **✊ ⚪️➡️ ➡**, & 👈 🔢 🔢 👈 📣 Pydantic 🏷 🔜 **✊ ⚪️➡️ 📨 💪**.

对具有子类型的模型属性也使用相同的标准语法。

因此，在我们的示例中，我们可以将 `tags` 明确地指定为一个「字符串列表」：

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial002_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="14"
{!> ../../docs_src/body_nested_models/tutorial002_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="14"
{!> ../../docs_src/body_nested_models/tutorial002.py!}
```

```

////

//// tab | Python 3.10+ 没Annotated

/// tip

尽可能选择使用 `Annotated` 的版本。

///

```Python hl_lines="11  13  20  23"
{!> ../../docs_src/background_tasks/tutorial002_py310.py!}
```

////

//// tab | Python 3.8+ 没Annotated

/// tip

尽可能选择使用 `Annotated` 的版本。

///

```Python hl_lines="13  15  22  25"

from fastapi.testclient import TestClient
from fastapi.websockets import WebSocketDisconnect

from ...utils import needs_py310


@pytest.fixture(name="app")
def get_app():
    from docs_src.websockets.tutorial002_py310 import app

    return app


@needs_py310
def test_main(app: FastAPI):
    client = TestClient(app)
    response = client.get("/")
    assert response.status_code == 200, response.text