<ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="list">
                                <la:message key="labels.elevate_word_link_list"/>
                            </la:link></li>
                            <li class="breadcrumb-item active"><la:message
                                    key="labels.elevate_word_link_details"/></li>

		for _, item := range cfgSubsysItems {
			off := item.Config.Get(config.Enable) == config.EnableOff
			switch hkv.Key {
			case config.EtcdSubSys:
				off = !etcd.Enabled(item.Config)
			case config.StorageClassSubSys:
				off = !storageclass.Enabled(item.Config)
			case config.PolicyPluginSubSys:
				off = !polplugin.Enabled(item.Config)
			case config.IdentityOpenIDSubSys:

                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/dict">
                                <la:message key="labels.dict_list_link"/>
                            </la:link></li>
                            <li class="breadcrumb-item"><la:link href="../list/1/?dictId=${f:u(dictId)}">
                                <la:message key="labels.dict_stopwords_list_link"/>

</details>

### 檢查

使用瀏覽器開啟 <a href="http://127.0.0.1:8000/items/5?q=somequery" class="external-link" target="_blank">http://127.0.0.1:8000/items/5?q=somequery</a>。

你將會看到以下的 JSON 回應：

```JSON
{"item_id": 5, "q": "somequery"}
```

你已經建立了一個具有以下功能的 API：

- 透過路徑 `/` 和 `/items/{item_id}` 接受 HTTP 請求。
- 以上路經都接受 `GET` 請求（也被稱為 HTTP _方法_）。
- 路徑 `/items/{item_id}` 有一個 `int` 型別的 `item_id` 參數。

Juste du **Python** standard.

Par exemple, pour un `int`:

```Python
item_id: int
```

ou pour un modèle `Item` plus complexe :

```Python
item: Item
```

... et avec cette déclaration unique, vous obtenez :

* Une assistance dans votre IDE, notamment :
    * la complétion.
    * la vérification des types.

////

/// info

In Pydantic Version 1 hieß die Methode zum Abrufen des JSON-Schemas für ein Modell `Item.schema()`, in Pydantic Version 2 heißt die Methode `Item.model_json_schema()`.

///

Bu durumda, eğer şu adrese giderseniz:

```
http://127.0.0.1:8000/items/foo?short=1
```

veya

```
http://127.0.0.1:8000/items/foo?short=True
```

veya

```
http://127.0.0.1:8000/items/foo?short=true
```

veya

```
http://127.0.0.1:8000/items/foo?short=on
```

veya

```
http://127.0.0.1:8000/items/foo?short=yes
```

///

`response_model` receives the same type you would declare for a Pydantic model field, so, it can be a Pydantic model, but it can also be, e.g. a `list` of Pydantic models, like `List[Item]`.

FastAPI will use this `response_model` to do all the data documentation, validation, etc. and also to **convert and filter the output data** to its type declaration.

/// tip

* `description: Union[str, None] = None` (ou `str | None = None` no Python 3.10) tem um padrão de `None`.
* `tax: float = 10.5` tem um padrão de `10.5`.
* `tags: List[str] = []` tem um padrão de uma lista vazia: `[]`.

mas você pode querer omiti-los do resultado se eles não foram realmente armazenados.

}\n    }\n\n    this.onTabCreated($(`#${navId}`))\n  }\n\n  openTabSidebar(item, autoOpen = this._config.autoShowNewTab) {\n    let $item = $(item).clone()\n    if ($item.attr('href') === undefined) {\n      $item = $(item).parent('a').clone()\n    }\n\n    $item.find('.right, .search-path').remove()\n    let title = $item.find('p').text()\n    if (title === '') {\n      title = $item.text()\n    }\n\n    const link = $item.attr('href')\n    if (link === '#' || link === '' || link === undefined) {\n...