from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):

import java.io.Closeable;

/**
 * The {@code QueryLogReader} interface provides methods to read query logs and close the reader.
 * It extends the {@code Closeable} interface, ensuring that resources can be released when no longer needed.
 */
public interface QueryLogReader extends Closeable {
    /**
     * Reads a query log.
     * @return The query log.
     */
    QueryLog read();

    @Override
    void close();

        return api_key


class APIKeyQuery(APIKeyBase):
    """
    API key authentication using a query parameter.

    This defines the name of the query parameter that should be provided in the request
    with the API key and integrates that into the OpenAPI documentation. It extracts
    the key value sent in the query parameter automatically and provides it as the

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: str,
    size: float = Query(gt=0, lt=10.5),
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})

from typing import Annotated

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str,
    size: Annotated[float, Query(gt=0, lt=10.5)],
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})

    * Depende del `query_extractor`, y asigna el valor que devuelve al parámetro `q`.
* También declara una `last_query` cookie opcional, como un `str`.
    * Si el usuario no proporcionó ningún query `q`, usamos el último query utilizado, que guardamos previamente en una cookie.

## Usa la dependencia { #use-the-dependency }

Entonces podemos usar la dependencia con:

{* ../../docs_src/dependencies/tutorial005_an_py310.py hl[23] *}

import org.codelibs.fess.suggest.util.SuggestUtil;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.sort.SortBuilder;
import org.opensearch.transport.client.Client;

/**
 * <p>

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.opensearch.query.StoredLtrQueryBuilder;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.rescore.QueryRescorerBuilder;
import org.opensearch.search.rescore.RescorerBuilder;

/**
 * Learning to Rank query rescorer implementation.
 */
public class LtrQueryRescorer implements QueryRescorer {

    /**

{* ../../docs_src/body/tutorial003_py310.py hl[15:16] *}


## Corpo da requisição + parâmetros de rota + parâmetros de consulta { #request-body-path-query-parameters }

Você também pode declarar parâmetros de **corpo**, **rota** e **consulta**, ao mesmo tempo.

O **FastAPI** irá reconhecer cada um deles e retirar a informação do local correto.

    }

    /**
     * Test search with null query (should be handled by implementation).
     */
    @Test
    public void test_searchWithNullQuery() throws Exception {
        try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcher(100));
            processor.init();

            // Should handle null query gracefully