.status(ApiResult.Status.OK)
                        .result());
    }

    /**
     * Retrieves a specific related query setting by ID.
     *
     * @param id the ID of the related query to retrieve
     * @return JSON response containing the related query configuration
     */
    // GET /api/admin/relatedquery/setting/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {

     * The search is performed using the current virtual host context and
     * the query term is converted to lowercase for case-insensitive matching.
     *
     * @param query the search term to find related queries for
     * @return an array of related query strings, or empty array if none found
     */
    public String[] getRelatedQueries(final String query) {
        final String key = ComponentUtil.getVirtualHostHelper().getVirtualHostKey();

            if (available) {
                cb.query().setAvailable_Equal(Constants.T);
            }
            if (idList != null) {
                cb.query().setId_InScope(idList);
            }
            cb.query().setName_NotEqual(ComponentUtil.getFessConfig().getFormAdminDefaultTemplateName());
            cb.query().addOrderBy_SortOrder_Asc();
            cb.query().addOrderBy_Name_Asc();

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: str | None = Query(default=None, alias="item-query")):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

     * Sets the time taken to execute the search query in milliseconds.
     *
     * @param queryTime The query execution time in milliseconds
     */
    public void setQueryTime(final long queryTime) {
        this.queryTime = queryTime;
    }

    /**
     * Sets the actual search query executed against the search engine.
     *
     * @param searchQuery The search query string
     */

import org.opensearch.core.xcontent.XContentParser;
import org.opensearch.index.query.AbstractQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryShardContext;

/**
 * A query builder for a stored LTR (Learning to Rank) query.
 * This builder constructs a query that uses a pre-trained LTR model
 * to re-rank search results based on a given set of features.
 */

## Importe `Header` { #import-header }

Primeiro importe `Header`:

{* ../../docs_src/header_params/tutorial001_an_py310.py hl[3] *}

## Declare parâmetros de `Header` { #declare-header-parameters }

Então declare os paramêtros de cabeçalho usando a mesma estrutura que em `Path`, `Query` e `Cookie`.

    /** Query parameter name for main search query. */
    public static final String OPTION_QUERY_Q = "q";

    /** Query parameter name for constraint query. */
    public static final String OPTION_QUERY_CQ = "cq";

    /** Query parameter name for optional query. */
    public static final String OPTION_QUERY_OQ = "oq";

    /** Query parameter name for negative query. */

            cb.query().setRegex_Wildcard(wrapQuery(pathMappingPager.regex));
        }
        if (StringUtil.isNotBlank(pathMappingPager.replacement)) {
            cb.query().setReplacement_Wildcard(wrapQuery(pathMappingPager.replacement));
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_SortOrder_Asc();

from typing import Annotated

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[str | None, Query(title="Query string", min_length=3)] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})