a.jQuery)}(this,function(a){!function(a){function b(a,b,d){var e=new Date(a,b,d),f=new Date,g=f.getFullYear()-e.getFullYear();e.setFullYear(e.getFullYear()+g),e>f&&(g--,e.setFullYear(e.getFullYear()-1));var h=Math.floor((f.getTime()-e.getTime())/864e5),i=g+h/(c(f.getFullYear())?366:365),j=((i+"").split(".")[1]||"").substr(0,3);return i>=0?Math.floor(i)+(j>=915?1:0):(j*=10,Math.floor(i)+(j<=840?1:0))}function c(a){var b=new Date(a,1,28);return b.setDate(b.getDate()+1),1===b.getMonth()}a.formUtils...

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="1  2  11-15"
    {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
    ```

🗒 👈 🔢 🔘 🔢 ✔️ 👫 🐠 💽 🆎, & 👆 💪, 🖼, 🎭 😐 📅 🎭, 💖:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="18-19"
    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1  3  13-17"
    {!> ../../../docs_src/extra_data_types/tutorial001_an.py!}
    ```

=== "Python 3.10+ non-Annotated"

    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1  3  13-17"
    {!> ../../../docs_src/extra_data_types/tutorial001_an.py!}
    ```

=== "Python 3.10+ nicht annotiert"

    !!! tip
        Bevorzugen Sie die `Annotated`-Version, falls möglich.

    ```Python hl_lines="1  2  11-15"
    {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
    ```

## 例子

下面是一个*路径操作*的示例，其中的参数使用了上面的一些类型。

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

* `datetime.datetime`:
    * Встроенный в Python `datetime.datetime`.
    * В запросах и ответах будет представлен как `str` в формате ISO 8601, например: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Встроенный в Python `datetime.date`.
    * В запросах и ответах будет представлен как `str` в формате ISO 8601, например: `2008-09-15`.
* `datetime.time`:
    * Встроенный в Python `datetime.time`.

```Python hl_lines="1  3  12-16"
{!../../../docs_src/extra_data_types/tutorial001.py!}
```

Note que os parâmetros dentro da função tem seu tipo de dados natural, e você pode, por exemplo, realizar manipulações normais de data, como:

```Python hl_lines="18-19"
{!../../../docs_src/extra_data_types/tutorial001.py!}

## 例

ここでは、上記の型のいくつかを使用したパラメータを持つ*path operation*の例を示します。

```Python hl_lines="1 2 12-16"
{!../../../docs_src/extra_data_types/tutorial001.py!}
```

関数内のパラメータは自然なデータ型を持っていることに注意してください。そして、以下のように通常の日付操作を行うことができます:

```Python hl_lines="18 19"
{!../../../docs_src/extra_data_types/tutorial001.py!}

{
  "fess_config.data_config" : {
    "aliases" : { },
    "mappings" : {
      "data_config" : {
        "properties" : {
          "available" : {
            "type" : "boolean"
          },
          "boost" : {
            "type" : "float"
          },
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "description" : {