///

```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
```

## Utilizando a mesma dependência múltiplas vezes { #using-the-same-dependency-multiple-times }

        }
        RenderDataUtil.register(data, "fileConfigItems", itemList);
    }

    /**
     * Creates a dropdown item with label and value.
     *
     * @param label the item label
     * @param value the item value
     * @return map containing the item
     */
    protected Map<String, String> createItem(final String label, final String value) {
        final Map<String, String> map = new HashMap<>(2);

                    if (logger.isDebugEnabled()) {
                        final BulkItemResponse[] items = response.getItems();
                        if (docList.size() == items.length) {
                            for (int i = 0; i < docList.size(); i++) {
                                final BulkItemResponse resp = items[i];
                                if (resp.isFailed() && resp.getFailure() != null) {

{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *}

En el ejemplo anterior, el modelo de entrada es un modelo de Pydantic v1 y el modelo de salida (definido en `response_model=ItemV2`) es un modelo de Pydantic v2.

### Parámetros de Pydantic v1 { #pydantic-v1-parameters }

                                            </tr>
                                            </thead>
                                            <tbody>
                                            <c:forEach var="data" varStatus="s" items="${jobLogItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/joblog/details/4/${f:u(data.id)}">

    }

    /**
     * Returns the last ExecutionPlanItem in the supplied phase. If no items are in the specified phase,
     * the closest executionPlanItem from an earlier phase item will be returned.
     *
     * @param requestedPhase the requested phase
     *                       The execution plan item
     * @return The ExecutionPlanItem or null if none can be found
     */

///

## 템플릿 작성하기

그런 다음 `templates/item.html`에 템플릿을 작성할 수 있습니다. 예를 들면:

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

### 템플릿 컨텍스트 값

다음과 같은 HTML에서:

{% raw %}

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

{% endraw %}

...이는 전달한 "컨텍스트" `dict`에서 가져온 `id`를 표시합니다:

```Python
{"id": id}
```

{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *}

No exemplo acima, o modelo de entrada é um modelo Pydantic v1, e o modelo de saída (definido em `response_model=ItemV2`) é um modelo Pydantic v2.

### Parâmetros do Pydantic v1 { #pydantic-v1-parameters }

)
def response_model_model1_annotation_model2_return_invalid_dict() -> Item:
    return {"name": "John"}


@app.get(
    "/response_model_model1-annotation_model2-return_invalid_model", response_model=User
)
def response_model_model1_annotation_model2_return_invalid_model() -> Item:
    return Item(name="Foo", price=42.0)


@app.get(

import java.util.List;

import org.codelibs.fess.Constants;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Pager for related content management that provides pagination functionality
 * for displaying related content items in the admin interface.
 * This class handles pagination state including current page number, page size,
 * total record count, and navigation controls.
 */
public class RelatedContentPager implements Serializable {