Veamos cómo podemos hacer que esto funcione.

## pytest.mark.anyio

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

/// tip | Dica

Leve em condideração que o JSON só suporta `str` como chaves.

Mas o Pydantic tem conversão automática de dados.

Isso significa que, embora os clientes da API só possam enviar strings como chaves, desde que essas strings contenham inteiros puros, o Pydantic irá convertê-los e validá-los.

E o `dict` que você recebe como `weights` terá, na verdade, chaves `int` e valores` float`.

///

`Field` 👷 🎏 🌌 `Query`, `Path` & `Body`, ⚫️ ✔️ 🌐 🎏 🔢, ♒️.

/// note | 📡 ℹ

🤙, `Query`, `Path` & 🎏 👆 🔜 👀 ⏭ ✍ 🎚 🏿 ⚠ `Param` 🎓, ❔ ⚫️ 🏿 Pydantic `FieldInfo` 🎓.

 & Pydantic `Field` 📨 👐 `FieldInfo` 👍.

`Body` 📨 🎚 🏿 `FieldInfo` 🔗. & 📤 🎏 👆 🔜 👀 ⏪ 👈 🏿 `Body` 🎓.

💭 👈 🕐❔ 👆 🗄 `Query`, `Path`, & 🎏 ⚪️➡️ `fastapi`, 👈 🤙 🔢 👈 📨 🎁 🎓.

///

/// tip

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

{"attributes":{"description":"","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[],\"indexRefName\":\"kibanaSavedObjectMeta.searchSourceJSON.index\"}"},"title":"search-query-counts-per-sec","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"search-query-counts-per-sec\",\"type\":\"histogram\",\"params\":{\"type\":\"histogram\",\"grid\":{\"categoryLines\":false},\"categoryAxes\":[{\"...

    }

    public void setQuery_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) {
        setQuery_Terms("query", opLambda, null);
    }

    public void setQuery_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsKeyMatchCA> aggsLambda) {
        setQuery_Terms("query", opLambda, aggsLambda);
    }

* Importa `Jinja2Templates`.
* Crea un objeto `templates` que puedas reutilizar más tarde.
* Declara un parámetro `Request` en la *path operation* que devolverá una plantilla.
* Usa los `templates` que creaste para renderizar y devolver un `TemplateResponse`, pasa el nombre de la plantilla, el objeto de request, y un diccionario "context" con pares clave-valor que se usarán dentro de la plantilla Jinja2.

import org.codelibs.fess.mylasta.action.FessMessages;
import org.lastaflute.web.validation.VaMessenger;

/**
 * Exception thrown when an invalid query is encountered.
 * This exception is typically used in search contexts where a provided
 * query is malformed, contains invalid syntax, or violates query constraints.
 */
public class InvalidQueryException extends FessSystemException {

    /** Serial version UID for serialization */

import jcifs.Configuration;
import jcifs.internal.smb1.ServerMessageBlock;

/**
 * SMB1 Query Information request message.
 *
 * This command is used to retrieve basic file information
 * such as attributes, size, and timestamps.
 */
public class SmbComQueryInformation extends ServerMessageBlock {

    /**
     * Constructs a query information request.
     *
     * @param config the configuration