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On the other hand, if the new field varies considerably from any existing field type, the standard behaviors will need to be rewritten for its own use anyway, negating any value of inheriting from a parent class. If most or all of these behaviors have to be written from scratch, inheriting from an existing field will simply create an extra step in the process Python uses to manage the class, even though that extra step offers little or no benefit. In these cases, it s best, therefore, to simply start from scratch, implementing just those behaviors that make sense for the custom field, and Django will still process it properly, due to its use of duck typing. Of course, there is some middle ground between the two approaches. For instance, a custom field may interact with a completely unique data type, bearing little resemblance to any existing field types, but it may still store its data in the database like a standard field, and could benefit from reusing many of Django s more basic field methods, such as assigning names and storing itself in . In these cases, it s quite reasonable to inherit from itself, rather than a specific subclass, and inherit just this most basic functionality.

ASP .NET includes six validation controls. These controls all perform a good portion of the heavy lifting for you, thereby streamlining the validation process and saving you from having to write tedious code. Even better, the validation controls are flexible enough to work with the custom rules you define, which makes your code more reusable and modular. Table 4-15 briefly summarizes each validator. Table 4-15. The Validation Controls

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Checks that the control it has to validate is not empty when the form is submitted. Checks that the value of the associated control is within a specified range. The value and the range can be numerical a date or a string. Checks that the value of the associated control matches a specified comparison (less than, greater than, and so on) against another constant value or control. Checks if the value of the control it has to validate matches the specified regular expression. Allows you to specify any client-side JavaScript validation routine and its server-side counterpart to perform your own custom validation logic. Shows a summary with the error messages for each failed validator on the page (or in a pop-up message box).

It s important to note that you can use more than one validator for the same control. For example, you could use a validator to ensure that an input control is not empty and another to ensure that it contains data of a certain type. In fact, if you use the RangeValidator, CompareValidator, or RegularExpressionValidator, validation will automatically succeed if the input control is empty, because there is no value to validate. If this isn t the behavior you want, you should add a RequiredFieldValidator to the control. This ensures that two types of validation will be performed, effectively restricting blank values. Although you can t validate RadioButton or CheckBox controls, you can validate the TextBox (the most common choice) and other controls such as ListBox, DropDownList, RadioButtonList, HtmlInputText, HtmlTextArea, and HtmlSelect. When validating a list control, the property that is being validated is the Value property of the selected ListItem object. Remember, the Value property is a hidden attribute that stores a piece of information in the HTML page for each list item, but it isn t displayed in the browser. If you don t use the Value attribute, you can t validate the control (validating the text of the selection isn t a supported option).

Technically, every control class has the option of designating one property that can be validated using the ValidationProperty attribute. For example, if you create your own control class named FancyTextBox, here s how you would designate the Text property as the property that supports validation: [ValidationProperty("Text")] public class FancyTextBox : WebControl {...} You ll learn more about how attributes work with custom controls in 28.

The first step any field goes through is being processed by the metaclass, whenever Python encounters a model class that utilizes the field in question. For standard Python objects, this means simply getting assigned to the model class as normal, with no additional processing. Fields take a different path, however, and each field gets the chance to customize how it s applied to a model class.

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