E que o Python tem um tipo de dados especial para conjuntos de itens únicos, o `set`.

Então podemos importar `Set` e declarar `tags` como um `set` de `str`s:


{* ../../docs_src/body_nested_models/tutorial003.py hl[1,14] *}

Com isso, mesmo que você receba uma requisição contendo dados duplicados, ela será convertida em um conjunto de itens exclusivos.

    * `url` (**required**): a `str` with the URL for the external documentation.

### Create metadata for tags { #create-metadata-for-tags }

Let's try that in an example with tags for `users` and `items`.

Create metadata for your tags and pass it to the `openapi_tags` parameter:

{* ../../docs_src/metadata/tutorial004.py hl[3:16,18] *}

        showFieldLoggingTitle();
        for (DiskFileItem item : items) {
            if (item.isFormField()) {
                showFormFieldParameter(item);
                addTextParameter(request, item);
            } else {
                showFileFieldParameter(item);
                final String itemName = item.getName();

## Check it { #check-it }

You should be able to check it in your Docker container's URL, for example: <a href="http://192.168.99.100/items/5?q=somequery" class="external-link" target="_blank">http://192.168.99.100/items/5?q=somequery</a> or <a href="http://127.0.0.1/items/5?q=somequery" class="external-link" target="_blank">http://127.0.0.1/items/5?q=somequery</a> (or equivalent, using your Docker host).

You will see something like:

```JSON

                    "message": {
                        "title": "Message",
                        "type": "string"
                    }
                }
            },
            "Item": {
                "title": "Item",
                "required": [
                    "id",
                    "value"
                ],
                "type": "object",
                "properties": {

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

## Usando la misma dependencia múltiples veces

///

## Escribiendo plantillas

Luego puedes escribir una plantilla en `templates/item.html` con, por ejemplo:

```jinja hl_lines="7"
{!../../docs_src/templates/templates/item.html!}
```

### Valores de Contexto de la Plantilla

En el HTML que contiene:

{% raw %}

```jinja
Item ID: {{ id }}
```

{% endraw %}

...mostrará el `id` tomado del `dict` de "contexto" que pasaste:

```JSON hl_lines="22"
{
    "openapi": "3.1.0",
    "info": {
        "title": "FastAPI",
        "version": "0.1.0"
    },
    "paths": {
        "/items/": {
            "get": {
                "summary": "Read Items",
                "operationId": "read_items_items__get",
                "responses": {
                    "200": {
                        "description": "Successful Response",

                                    </tr>
                                    </thead>
                                    <tbody>
                                    <c:forEach var="data" varStatus="s" items="${dictFiles}">
                                        <tr data-href="${f:h(data.type)}/?dictId=${f:h(data.id)}">
                                            <td>${f:h(data.path)}</td>

 * features}, the features supported by the iterator; and {@code expectedElements}, the elements the
 * iterator should return in order.
 *
 * <p>The items in {@code elementsToInsert} will be repeated if {@code steps} is larger than the
 * number of provided elements.
 *
 * @author Chris Povirk
 */
@GwtCompatible
@NullMarked