/**
 * 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.opensearch.core.action.ActionListener;
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.ScoreFunctionBuilders;
import org.opensearch.search.SearchHit;

     * @param boost the boost factor to apply to the query
     * @return the processed OpenSearch QueryBuilder
     */
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        return filterChain.execute(context, query, boost);
    }

    /**
     * Adds a query command to the processor.
     *

from dirty_equals import IsPartialDict
from fastapi import Cookie, FastAPI, Header, Query
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

app = FastAPI()


class Model(BaseModel):
    param: str = Field(alias="param_alias")


@app.get("/query")
async def query_model(data: Model = Query()):
    return {"param": data.param}


@app.get("/header")
async def header_model(data: Model = Header()):

            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);

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})

            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();

{* ../../docs_src/path_params_numeric_validations/tutorial006_an_py39.py hl[13] *}

## Recap { #recap }

With `Query`, `Path` (and others you haven't seen yet) you can declare metadata and string validations in the same ways as with [Query Parameters and String Validations](query-params-str-validations.md){.internal-link target=_blank}.

And you can also declare numeric validations:

* `gt`: `g`reater `t`han

def test_query_params_str_validations_q_query(client: TestClient):
    response = client.get("/items/", params={"q": "query"})
    assert response.status_code == 200
    assert response.json() == {
        "items": [{"item_id": "Foo"}, {"item_id": "Bar"}],
        "q": "query",
    }


def test_query_params_str_validations_q_too_short(client: TestClient):
    response = client.get("/items/", params={"q": "qu"})

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})