The Model Client Validation Rule class has three properties, two of which must always be set: Error Message and Validation Type.
Validation Type is a string unique to the type of validator and is used as a key to get the right client side validation code.
This interface has one method Get Client Validation Rules which you need to override in your class.
Has a userid or email address, been registered or whats my credit limit etc....
In the above example I have set Validation Type value to “validbirthdate” which is the client side function adapter required for perform client side validation.
$(function() (j Query)); In the end you need to import required JQuery validation libraries and your custom js file in Customer view file as follows: @section Scripts If you run your code and view source, you’ll notice that your inputs have some extra HTML5 attributes added to them.
Data validation is intended to provide certain well-defined guarantees for fitness, accuracy, and consistency for various kinds of user input into an application. Data Annotations namespace contains various Data Annotation attributes that gives you a simple way to apply different validation rules on model data.
For business applications, data validation can be defined through declarative data integrity rules or procedure-based business rules. These attributes are helpful for common validation requirements like Required, Range, Regular Expression, String Length etc.
Using the metadata parameter, you are required to construct one or more Model Client Validation Rules which are returned from the method and used by the framework to output the client-side HTML5 data-* attributes that are necessary for client-side validation.
Therefore, Model Client Validation Rule must contain all data necessary for validation to be performed on the client.
For the sake of this tutorial, I’ve decided to implement a Valid Birth Date attribute that force user to enter a birth date which is less than the current date. NET MVC project called Custom Validation Attribute Demo and then create a simple model called Customer.