Mas ele é assinado. Assim, quando você recebe um token que você emitiu, você pode verificar que foi realmente você quem o emitiu.

Dessa forma, você pode criar um token com um prazo de expiração, digamos, de 1 semana. E então, quando o usuário voltar no dia seguinte com o token, você sabe que ele ainda está logado no seu sistema.

`Security` es en realidad una subclase de `Depends`, y tiene solo un parámetro extra que veremos más adelante.

Pero al usar `Security` en lugar de `Depends`, **FastAPI** sabrá que puede declarar scopes de seguridad, usarlos internamente y documentar la API con OpenAPI.

Pero cuando importas `Query`, `Path`, `Depends`, `Security` y otros de `fastapi`, en realidad son funciones que devuelven clases especiales.

///

## Usar `SecurityScopes`

Mais quand même, FastAPI s'est inspiré de Requests.

**Requests** est une bibliothèque pour _interagir_ avec les API (en tant que client), tandis que **FastAPI** est une bibliothèque pour _créer_ des API (en tant que serveur).

Ils sont, plus ou moins, aux extrémités opposées, se complétant l'un l'autre.

    }

    /**
     * Converts a term query to a text-based match phrase query.
     *
     * @param fessConfig the Fess configuration
     * @param context the query context
     * @param termQuery the term query to convert
     * @param boost the boost value to apply
     * @param field the field name
     * @param text the query text
     * @return the converted QueryBuilder
     */

import org.opensearch.index.query.MoreLikeThisQueryBuilder;
import org.opensearch.index.query.PrefixQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.QueryStringQueryBuilder;
import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;

import org.opensearch.index.query.MoreLikeThisQueryBuilder;
import org.opensearch.index.query.PrefixQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.QueryStringQueryBuilder;
import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;

        // Test normal query
        String query = "test query";
        String field = "content";
        String[] keywords = SuggestUtil.parseQuery(query, field);
        assertNotNull(keywords);
        assertEquals(2, keywords.length);
        assertEquals("test", keywords[0]);
        assertEquals("query", keywords[1]);

        // Test empty query

 */
package org.codelibs.fess.query;

import java.util.concurrent.atomic.AtomicBoolean;

import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.query.QueryProcessor.FilterChain;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.opensearch.index.query.BoolQueryBuilder;

    /**
     * Adds a query to the query map with the specified display key.
     *
     * @param key the display key for the query
     * @param query the query string to add
     */
    public void addQuery(final String key, final String query) {
        queryMap.put(key, query);
    }

    /**
     * Returns a string representation of this FacetQueryView object.
     * Includes the title and query map for debugging purposes.

}

func (c *wrapperTx) PrepareContext(ctx context.Context, query string) (*sql.Stmt, error) {
	c.conn.got = append(c.conn.got, query)
	return c.Tx.PrepareContext(ctx, query)
}

func (c *wrapperTx) ExecContext(ctx context.Context, query string, args ...interface{}) (sql.Result, error) {
	c.conn.got = append(c.conn.got, query)
	return c.Tx.ExecContext(ctx, query, args...)
}