}

    public void setRoles_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) {
        setRoles_Terms("roles", opLambda, null);
    }

    public void setRoles_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsUserCA> aggsLambda) {
        setRoles_Terms("roles", opLambda, aggsLambda);
    }

/**
 * The search form for Role.
 */
public class SearchForm {

    /**
     * Default constructor for SearchForm.
     */
    public SearchForm() {
    }

    /**
     * The ID field for searching roles.
     */
    public String id;

public class SearchEngineApiManager extends BaseApiManager {
    private static final String ADMIN_SERVER = "/admin/server_";

    private static final Logger logger = LogManager.getLogger(SearchEngineApiManager.class);

    /** Roles that are allowed to access the search engine API */
    protected String[] acceptedRoles = { "admin" };

    /**
     * Default constructor.
     * Initializes the API manager with the admin server path prefix.
     */

Si quieres asegurar tu API, hay varias cosas mejores que puedes hacer, por ejemplo:

* Asegúrate de tener modelos Pydantic bien definidos para tus request bodies y responses.
* Configura los permisos y roles necesarios usando dependencias.
* Nunca guardes contraseñas en texto plano, solo hashes de contraseñas.
* Implementa y utiliza herramientas criptográficas bien conocidas, como Passlib y JWT tokens, etc.

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.

            doColumn("requestedAt");
        }

        public void columnResponseTime() {
            doColumn("responseTime");
        }

        public void columnRoles() {
            doColumn("roles");
        }

        public void columnSearchWord() {
            doColumn("searchWord");
        }

        public void columnUser() {
            doColumn("user");
        }

        }
        return map;
    }

    /**
     * Generates a unique document ID from the provided data map.
     * Constructs an ID string from URL, roles, and virtual hosts, then generates a hash.
     *
     * @param dataMap the document data map containing URL, roles, and virtual host information
     * @return a unique hashed ID string for the document
     */
    public String generateId(final Map<String, Object> dataMap) {

   * that gets messy here, and we already have null tests for Range.
   */

  /*
   * These generators also rely on consecutive integer inputs (not necessarily in order, but no
   * holes).
   */

  // SetCreationTester has some tests that pass in duplicates. Dedup them.
  private static <E extends Comparable<? super E>> SortedSet<E> nullCheckedTreeSet(E[] elements) {
    SortedSet<E> set = newTreeSet();

        FLAGS[prefixFlag or frameFlag or FLAG_PADDED] =
          FLAGS[prefixFlag] + '|'.toString() + FLAGS[frameFlag] + "|PADDED"
      }
    }

    for (i in FLAGS.indices) { // Fill in holes with binary representation.
      if (FLAGS[i] == null) FLAGS[i] = BINARY[i]
    }
  }

  /**
   * Returns a human-readable representation of HTTP/2 frame headers.
   *
   * The format is:
   *

        }

        public void columnRegisteredAddress() {
            doColumn("registeredAddress");
        }

        public void columnRoles() {
            doColumn("roles");
        }

        public void columnRoomNumber() {
            doColumn("roomNumber");
        }

        public void columnState() {
            doColumn("state");
        }