// ===================================================================================
    //                                                                               Query
    //                                                                               =====
    public BsDataConfigCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsDataConfigCQ doGetConditionQuery() {

    response = client.get("/items/42")
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "loc": ["query", "q"],
                "input": None,
                "msg": "Field required",
                "type": "missing",
            }
        ]
    }


def test_openapi_schema(client: TestClient):

### Desative o modelo de resposta { #disable-response-model }

Continuando com o exemplo acima, você pode não querer ter a validação de dados padrão, documentação, filtragem, etc. que é realizada pelo FastAPI.

Mas você pode querer manter a anotação do tipo de retorno na função para obter o suporte de ferramentas como editores e verificadores de tipo (por exemplo, mypy).

    private int currentPageNumber;

    /** The ID of the key match. */
    public String id;

    /** The term of the key match. */
    public String term;

    /** The query of the key match. */
    public String query;

    /** The max size of the key match. */
    public String maxSize;

    /** The boost of the key match. */
    public String boost;

    /** The creator of the key match. */

		return
	}

	healthCtx, healthCancel := context.WithTimeout(ctx, deadline)
	defer healthCancel()

	healthInfoCh := make(chan madmin.HealthInfo)

	query := url.Values{}
	for _, k := range madmin.HealthDataTypesList {
		query.Set(string(k), "true")
	}

	healthInfo := madmin.HealthInfo{
		TimeStamp: time.Now().UTC(),
		Version:   madmin.HealthInfoVersion,
		Minio: madmin.MinioHealthInfo{

import org.opensearch.action.search.SearchResponse;
import org.opensearch.cluster.metadata.AliasMetadata;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.transport.client.Client;

/**
 * The Suggester class provides functionality for managing and querying suggestion indices.

Und sie kann alles zurückgeben, was Sie möchten.

In diesem Fall erwartet diese Abhängigkeit:

* Einen optionalen Query-Parameter `q`, der ein `str` ist.
* Einen optionalen Query-Parameter `skip`, der ein `int` ist und standardmäßig `0` ist.
* Einen optionalen Query-Parameter `limit`, der ein `int` ist und standardmäßig `100` ist.

    <description>
      Returns query parameters for More Like This.
    </description>
    <name>mltQuery</name>
    <function-class>org.codelibs.fess.taglib.FessFunctions</function-class>
    <function-signature>java.lang.String mltQuery()</function-signature>
    <example>
      ${fe:mltQuery()}
    </example>
  </function>

  <function>
    <description>
      Returns query parameters for Geo.
    </description>

* path operation: path operation (do not translate to "operación de ruta")
* path (as in URL path): path (do not translate to "ruta")
* query (as in URL query): query (do not translate to "consulta")
* cookie (as in HTTP cookie): cookie
* header (as in HTTP header): header
* form (as in HTML form): formulario
* type checks: chequeo de tipos
* parse: parse
* parsing: parsing

Ahí puedes establecer:

* El "ID del Ítem", usado en el path.
* El "Token" usado como un parámetro query.

/// tip | Consejo

Nota que el query `token` será manejado por una dependencia.

///

Con eso puedes conectar el WebSocket y luego enviar y recibir mensajes:

<img src="/img/tutorial/websockets/image05.png">