## Custom Validation { #custom-validation }

There could be cases where you need to do some **custom validation** that can't be done with the parameters shown above.

In those cases, you can use a **custom validator function** that is applied after the normal validation (e.g. after validating that the value is a `str`).

each(function(c,d){d.validationConfig=b;var e=a(d);e.trigger("formValidationSetup",[e,b]),e.find(".has-help-txt").unbind("focus.validation").unbind("blur.validation"),e.removeClass("has-validation-callback").unbind("submit.validation").unbind("reset.validation").find("input[data-validation],textarea[data-validation]").unbind("blur.validation"),e.bind("submit.validation",function(c){var d=a(this),e=function(){return c.stopImmediatePropagation(),!1};if(a.formUtils.haltValidation)return e();if(a.fo...

 */
package org.codelibs.fess.validation;

import java.lang.annotation.Annotation;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.util.Set;

import org.codelibs.fess.unit.UnitFessTestCase;

import jakarta.validation.ConstraintViolation;
import jakarta.validation.Validation;
import jakarta.validation.Validator;
import jakarta.validation.ValidatorFactory;

    * Vous pouvez avoir des objets **JSON fortement imbriqués** tout en ayant, pour chacun, de la validation et des annotations.
* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

                                                 data-validation="custom"
                                                 data-validation-regexp="(\+|\-)?\d+(\.\d+)?((e|E)(\+|\-)?\d+)?"
                                                 data-validation-help="number (Float)"/>
                                    </div>
                                </div>

-type")||"image";if(!f)throw new Error("Google reCaptcha site key is required.");var j=grecaptcha.render(e,{sitekey:f,theme:g,size:h,type:i,callback:function(a){b.find('[data-validation~="recaptcha"]').trigger("validation",a&&""!==a)},"expired-callback":function(){b.find('[data-validation~="recaptcha"]').trigger("validation",!1)}});d.valAttr("recaptcha-widget-id",j).hide().on("beforeValidation",function(a){a.stopImmediatePropagation()}).parent().append(e)})})},a(b).on("validatorsLoaded formValid...

        } catch (SMBProtocolDecodingException e) {
            // If exception thrown, validation is working
            assertTrue(e.getMessage().contains("Invalid negotiate context data length") || e.getMessage().contains("Buffer too small")
                    || e.getMessage().contains("negotiate context"), "Validation detected issue: " + e.getMessage());
        }

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

 */
package org.codelibs.fess.app.web.admin.general;

import org.lastaflute.web.validation.Required;
import org.lastaflute.web.validation.theme.conversion.ValidateTypeFailure;

import jakarta.validation.constraints.Max;
import jakarta.validation.constraints.Min;
import jakarta.validation.constraints.Size;

/**
 * Form class for editing general system settings in the admin interface.

    //                                                                          ==========
    @SuppressWarnings("unchecked")
    /**
     * Creates a validator instance for form validation.
     * This method uses the system helper to create a validator with Fess-specific messages.
     *
     * @return a new action validator instance
     */
    @Override