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If you decide to use attributes to define your validation rules within classes but are finding it difficult to choose between using the Validation block attributes and the Microsoft .NET data annotation attributes, you should consider using the Validation block attributes approach as this provides more powerful capabilities and supports a far wider range of validation operations. However, you should consider the data annotations approach in the following scenarios: When you are working with existing applications that already use data annotations. When you require validation to take place on the client. When you are building a Web application where you will use the ASP.NET Data Annotation Model Binder, or you are using ASP.NET Dynamic Data to create data-driven user interfaces. When you are using a framework such as the Microsoft Entity Framework, or another object/relational mapping (O/RM) technology that auto-generates classes that include data annotations. There are several ways that you can create the validators you require, whether you are creating a type validator that will validate an instance of your class using a rule set or attributes, or you are creating individual value validators: Use the ValidatorFactory facade to create validators. This approach makes it easy to create type validators that you can use, in conjunction with rule sets, to validate multiple members of an object instance. This is generally the recommended approach. You also use this approach to create validators that use only validation attributes or data annotations within the classes you want to validate, or only rule sets defined in configuration. You can resolve an instance of the ValidatorFactory using a single line of code, as you will see later in this chapter. Create individual validators programmatically by calling their constructor. The constructor parameters allow you to specify most of the properties you require for the validator. You can then set additional properties, such as the Tag or the resource name and type if you want to use a resource file to provide the message template. You can also build combinations of validators using this approach to implement complex validation rules. Resolve individual validators through the Enterprise Library Container. This approach allows you to obtain a validator instance using dependency injection; for example, by simply specifying the type of validator you require in the constructor of a class that you resolve through the container. If you specify a name when you resolve the instance, this is interpreted as the name of the rule set for that validator to use when validating objects. See Appendix A, Dependency Injection with Unity and Appendix B, Using Dependency Injection in Enterprise Library for more information about using a container to resolve and populate the dependencies of objects.
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Previous versions of Enterprise Library used static facades named Validation and ValidationFactory (as opposed to ValidatorFactory described above) to create validators and perform validation. While these facades are still available for backwards compatibility, you should use the approaches described above for creating validators as you write new code.
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To initiate validation, you call the Validate method of your validator. There are two overloads of this method: one that creates and returns a populated ValidationResults instance, and one that accepts an existing ValidationResults instance as a parameter. The second overload allows you to perform several validation operations, and collect all of the errors in one ValidationResults instance. You can check if validation succeeded, or if any validation errors were detected, by examining the IsValid property of a ValidationResults instance, and displaying details of any validation errors that occurred. The following code shows a simple example of how you can display the most relevant details of each validation error. See the section on self-validation earlier in this chapter for a description of the properties of each individual ValidationResult within the ValidationResults.
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// Check if the ValidationResults detected any validation errors. if (results.IsValid) { Console.WriteLine("There were no validation errors."); } else { Console.WriteLine("The following {0} validation errors were detected:", results.Count); // Iterate through the collection of validation results. foreach (ValidationResult item in results) { // Show the target member name and current value. Console.WriteLine("Target:'{0}' Key:'{1}' Tag:'{2}' Message:'{3}'", item.Target, item.Key, item.Tag, item.Message); } }
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