Validator Manager 3.3.13 Download
Jacque Finister
Users that create validators using the lighthouse account tool in thestandard directories and do not start their lighthouse vc with the--disable-auto-discover flag should not need to understand the contents ofthis document. However, users with more complex needs may find this documentuseful.
The validator_definitions.yml file is located in the validator-dir, whichdefaults to /.lighthouse/network/validators. It is aYAML encoded file defining exactly whichvalidators the validator client will (and won't) act for.
When a validator client starts and the validator_definitions.yml file doesn'texist, a new file will be created. If the --disable-auto-discover flag isprovided, the new file will be empty and the validator client will not startany validators. If the --disable-auto-discover flag is not provided, anautomatic validator discovery routine will start (more on that later). Torecap:
When the --disable-auto-discover flag is not provided, the validator client will search thevalidator-dir for validators and add any new validators to thevalidator_definitions.yml with enabled: true.
The routine for this search begins in the validator-dir, where it obtains alist of all files in that directory and all sub-directories (i.e., recursivedirectory-tree search). For each file named voting-keystore.json it creates anew validator definition by the following process:
The automatic validator discovery process works out-of-the-box with validatorsthat are created using the lighthouse account validator new command. Thedetails of this process are only interesting to those who are using keystoresgenerated with another tool or have a non-standard requirements.
If you are one of these users, manually edit the validator_definitions.ymlfile to suit your requirements. If the file is poorly formatted or any one ofthe validators is unable to be initialized, the validator client will refuse tostart.
Since IDM deployment can be done container based in on-prem - it shouldn't be big effort to add validator easily to on-prem also. It is only matter of licensing issue.Earlier licensing of Validator has been too expensive and inflexible.
Because a plugin manager extends a service manager, it works the same and canbe configured similarly. It provides a separation of concerns (it will be usedin specific contexts), and provides additional instance validation.
The $instanceOf variable specifies a class/interface type that all instancesretrieved from the plugin manager must fulfill. If an instance created by theplugin manager does not match, a Laminas\ServiceManager\Exception\InvalidServiceExceptionexception will be thrown.
A plugin manager requires that you pass a parent service manager (typically,the application's service manager) as well as service configuration. Serviceconfiguration follows the exact same pattern as for a normal service manager;refer to the configuring the service manager section for details.
Unlike the version 2 implementation, when inside the context of the factoryof a service created by a plugin manager, the passed container will notbe the plugin manager, but the parent service manager instead. If you needaccess to other plugins of the same type, you will need to fetch the pluginmanager from the container:
When you activate test ads (Android iOS), the native ad validator automatically checks your implementation and displays a notification on native ads that lets you know whether any policy issues are detected.
I am trying to test a Laminas/Laminas-Form, that has a custom validator and this validator has a dependency that gets not injected.
If I run the application in a normal environment it is working as expected. Only the test environment is affected.
As far as I can see, if I run $myForm->isValid() at some point of the ValidationChain a new PluginManager is created if not present. But this manager does not know the application configuration and assumes that my MyCustomValidatorWithDependencies can be invoked by using the InvokableFactory, which is obviously not the case. Is there a way to inject the correct application configuration into the PluginManager or just a single factory?
I also checked that, in a normal environment the PluginManager is present and aware of the correct factory of my MyCustomValidatorWithDependencies before and during $myForm->isValid() is executed.
The form element manager is used instead of directly instantiating the form to ensure to get the input filter manager injected. This allows usage of any input filter registered with the input filter managers which includes custom filters and validators.
By default, the application validator service implements a JAR signature validator to prevent the deployment of non-authorized artifacts.Each signed entry in the artifact JAR file must match one of the keystore aliases.You can indicate which keystore alias to use to validate all artifacts deployed in the runtime. Artifacts signed with expired certificates are allowed.
Most of the people running these just bootstrap their nodes manually, referring to the Solana docs or similar community guides. Apparently, there are no 2 identical setups across these 2400 validators.
Hibernate Validator supports running with a security manager being enabled.To do so, you must assign several permissions to the code bases of Hibernate Validator, the Jakarta Bean Validation API, Classmate and JBoss Logging and also to the code base calling Jakarta Bean Validation.The following shows how to do this via a policy file as processed by the Java default policy implementation:
This bootstraps a validator in the default configuration. Refer to Chapter 9, Bootstrapping tolearn more about the different bootstrapping methods and how to obtain a specifically configuredValidator instance.
Resolve any message parameters by using them as key for a resource bundle containing the standarderror messages for the built-in constraints as defined in Appendix B of the Jakarta Bean Validationspecification. In the case of Hibernate Validator, this bundle is namedorg.hibernate.validator.ValidationMessages. If this step triggers a replacement, step 1 is executedagain, otherwise step 3 is applied.
@Constraint(validatedBy = CheckCaseValidator.class): Marks the annotation type as constraintannotation and specifies the validator to be used to validate elements annotated with @CheckCase.If a constraint may be used on several data types, several validators may be specified, one foreach data type.
Having defined the annotation, you need to create a constraint validator, which is able to validateelements with a @CheckCase annotation. To do so, implement the Jakarta Bean Validation interface ConstraintValidatoras shown below:
The ConstraintValidator interface defines two type parameters which are set in the implementation.The first one specifies the annotation type to be validated (CheckCase), the second one the type ofelements, which the validator can handle (String). In case a constraint supports several data types,a ConstraintValidator for each allowed type has to be implemented and registered at the constraintannotation as shown above.
The implementation of the validator is straightforward. The initialize() method gives you access tothe attribute values of the validated constraint and allows you to store them in a field of thevalidator as shown in the example.
For instance, your zip code validator could vary depending on the locale of your application instance if you have oneinstance per country.Another requirement could be to have different behaviors on specific environments: the staging environment may not haveaccess to some external production resources necessary for the correct functioning of a validator.
The notion of constraint validator payload was introduced for all these use cases.It is an object passed from the Validator instance to each constraint validator via the HibernateConstraintValidatorContext.
The example below shows how to set a constraint validator payload during the ValidatorFactory initialization.Unless you override this default value, all the Validators created by this ValidatorFactory will have thisconstraint validator payload value set.
The whole purpose of this constraint validator payload is to be used to condition the behavior of your constraint validators.It is not included in the constraint violations, unless a specific ConstraintValidator implementation passes on thepayload to emitted constraint violations by using the constraint violation dynamic payload mechanism.
As the example demonstrates, you need to use the element type TYPE in the @Target annotation. Thisallows the constraint to be put on type definitions. The validator of the constraint in the examplereceives a Car in the isValid() method and can access the complete object state to decide whetherthe given instance is valid or not.
In order to define a cross-parameter constraint, its validator class must be annotated with@SupportedValidationTarget(ValidationTarget.PARAMETERS). The type parameter T from theConstraintValidator interface must resolve to either Object or Object[] in order to receive thearray of method/constructor arguments in the isValid() method.
As discussed above, the validation target PARAMETERS must be configured for a cross-parametervalidator by using the @SupportedValidationTarget annotation. Since a cross-parameter constraintcould be applied to any method or constructor, it is considered a best practice to check for theexpected number and types of parameters in the validator implementation.
In rare situations a constraint is both, generic and cross-parameter. This is the case if aconstraint has a validator class which is annotated with@SupportedValidationTarget(ValidationTarget.PARAMETERS, ValidationTarget.ANNOTATED_ELEMENT) or ifit has a generic and a cross-parameter validator class.
The @ScriptAssert constraint has two validators (not shown), a generic and a cross-parameter one andthus defines the member validationAppliesTo(). The default value IMPLICIT allows to derive thetarget automatically in situations where this is possible (e.g. if the constraint is declared on afield or on a method which has parameters but no return value).
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