* 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

# JSON Compatible Encoder

Hay algunos casos en los que podrías necesitar convertir un tipo de dato (como un modelo de Pydantic) a algo compatible con JSON (como un `dict`, `list`, etc).

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder`

Imaginemos que tienes una base de datos `fake_db` que solo recibe datos compatibles con JSON.

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;

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;

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;

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;

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;

     * Sets up search conditions for bad word list queries.
     * @param cb The condition bean for the query.
     * @param badWordPager The pager containing search criteria.
     */
    protected void setupListCondition(final BadWordCB cb, final BadWordPager badWordPager) {
        if (badWordPager.id != null) {
            cb.query().docMeta().setId_Equal(badWordPager.id);
        }
        // TODO Long, Integer, String supported only.

// GET <admin-prefix>/idp/ldap/policy-entities?[query-params]
//
// Query params:
//
//	user=... -> repeatable query parameter, specifying users to query for
//	policy mapping
//
//	group=... -> repeatable query parameter, specifying groups to query for
//	policy mapping
//
//	policy=... -> repeatable query parameter, specifying policy to query for
//	user/group mapping
//

Para conseguir isso, o backend deve ter uma lista de "origens permitidas".

Neste caso, ele terá que incluir `http://localhost:8080` para o frontend funcionar corretamente.

## Curingas

É possível declarar uma lista com `"*"` (um "curinga") para dizer que tudo está permitido.

Mas isso só permitirá certos tipos de comunicação, excluindo tudo que envolva credenciais: cookies, cabeçalhos de autorização como aqueles usados ​​com Bearer Tokens, etc.