.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();

import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.util.DfTypeUtil;
import org.junit.jupiter.api.Test;
import org.opensearch.index.query.MatchPhrasePrefixQueryBuilder;
import org.opensearch.index.query.PrefixQueryBuilder;
import org.opensearch.index.query.QueryBuilder;

public class PrefixQueryCommandTest extends QueryTestBase {
    private PrefixQueryCommand queryCommand;
    private QueryFieldConfig queryFieldConfig;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings
     * and values are document counts for each query.
     */

import org.junit.jupiter.api.TestInfo;
import org.opensearch.index.query.BoolQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder.FilterFunctionBuilder;
import org.opensearch.index.query.functionscore.ScoreFunctionBuilders;

		xhttp.AmzSignature,
	)

	// Add missing query parameters if any provided in the request URL
	for k, v := range req.Form {
		if !defaultSigParams.Contains(k) {
			query[k] = v
		}
	}

	// Get the encoded query.
	encodedQuery := query.Encode()

	// Verify if date query is same.
	if req.Form.Get(xhttp.AmzDate) != query.Get(xhttp.AmzDate) {
		return ErrSignatureDoesNotMatch
	}

`Field` 的用法與 `Query`、`Path`、`Body` 相同，擁有相同的參數等。

/// note | 技術細節

實際上，你接下來會看到的 `Query`、`Path` 等，會建立共同父類別 `Param` 的子類別物件，而 `Param` 本身是 Pydantic 的 `FieldInfo` 類別的子類別。

而 Pydantic 的 `Field` 也會回傳一個 `FieldInfo` 的實例。

`Body` 也會直接回傳 `FieldInfo` 子類別的物件。稍後你會看到還有其他類別是 `Body` 類別的子類別。

記得，當你從 `fastapi` 匯入 `Query`、`Path` 等時，它們其實是回傳特殊類別的函式。

///

/// tip

            final SearchRequestParams params, final OptionalThing<FessUserBean> userBean) {
        if (logger.isDebugEnabled()) {
            logger.debug("Sending query to main searcher: query={}", query);
        }
        final int pageSize = params.getPageSize();
        try {
            final SearchResult searchResult = searcher.search(query, params, userBean);

     */
    public List<DuplicateHost> getDuplicateHostList() {

        return duplicateHostBhv.selectList(cb -> {
            cb.query().addOrderBy_SortOrder_Asc();
            cb.query().addOrderBy_RegularName_Asc();
            cb.query().addOrderBy_DuplicateHostName_Asc();
            cb.fetchFirst(fessConfig.getPageDuplicateHostMaxFetchSizeAsInteger());
        });
    }

    /**

from fastapi import FastAPI, Query
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/required-list-str")
async def read_required_list_str(p: Annotated[list[str], Query()]):
    return {"p": p}