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Rule Method
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With the custom RuleArgs class defined, it can be used to implement a rule method. The StringMaxLength() rule method looks like this: public static bool StringMaxLength( object target, RuleArgs e) { int max = ((MaxLengthRuleArgs)e).MaxLength; string value = (string)Utilities.CallByName( target, e.PropertyName, CallType.Get); if (!String.IsNullOrEmpty(value) && (value.Length > max))
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CHAPTER 5 s COMPLETING THE FRAMEWORK
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{ e.Description = String.Format( "{0} can not exceed {1} characters", e.PropertyName, max.ToString()); return false; } return true; } This is similar to the StringRequired() rule method, except that the RuleArgs parameter is cast to the MaxLengthRuleArgs type so that the MaxLength value can be retrieved. That value is then compared to the length of the specified property from the target object to see if the rule is broken or not.
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s Note
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It might seem like the RuleArgs parameter should just be of type MaxLengthRuleArgs. But it is important to remember that this method must conform to the RuleHandler delegate defined in 3; and that defines the parameter as type RuleArgs.
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A business object s AddBusinessRules() method would associate a property to this rule like this: protected override void AddBusinessRules() { ValidationRules.AddRule( new RuleHandler(CommonRules.StringMaxLength), new CommonRules.MaxLengthRuleArgs("Name", 50)); } Remember that in 3 the ValidationRules.AddRule() method included an overload that accepted a rule method delegate along with a RuleArgs object. In this case, the RuleArgs object is an instance of MaxLengthRuleArgs, initialized with the property name and the maximum length allowed for the property. The CommonRules class includes other similar rule method implementations that you may choose to use as is, or as the basis for creating your own library of reusable rules for an application.
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Data Access
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Almost all applications employ some data access. Obviously, the CSLA .NET framework puts heavy emphasis on enabling data access through the data portal, as described in 4. Beyond the basic requirement to create, read, update, and delete data, however, there are other needs. During the process of reading data from a database, many application developers find themselves writing repetitive code to eliminate null database values. SafeDataReader is a wrapper around any ADO.NET data reader object that automatically eliminates any null values that might come from the database. When creating many web applications using either Web Forms or Web Services, data must be copied into and out of business objects. In the case of Web Forms data binding, data comes from the page in a dictionary of name/value pairs, which must be copied into the business object s properties. With Web Services, the data sent or received over the network often travels through simple data transfer objects (DTOs). The properties of those DTOs must be copied into or out of a business object within the web service. The DataMapper class contains methods to simplify these tasks.
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CHAPTER 5 s COMPLETING THE FRAMEWORK
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SafeDataReader
null values should be allowed in database columns for only two reasons. The first is when the business rules dictate that the application cares about the difference between a value that was never entered and a value that is zero (or an empty string). In other words, the end user actually cares about the difference between "" and null, or between 0 and null. There are applications where this matters where the business rules revolve around whether a field ever had a value (even an empty one) or never had a value at all. The second reason for using a null value is when a data type doesn t intrinsically support the concept of an empty field. The most common example is the SQL DateTime data type, which has no way to represent an empty date value; it always contains a valid date. In such a case, null values in the database column are used specifically to indicate an empty date. Of course, these two reasons are mutually exclusive. When using null values to differentiate between an empty field and one that never had a value, you need to come up with some other scheme to indicate an empty DateTime field. The solution to this problem is outside the scope of this book but thankfully, the problem itself is quite rare. The reality is that very few applications ever care about the difference between an empty value and one that was never entered, so the first scenario seldom applies. If it does apply to your application, then dealing with null values at the database level isn t an issue, because you ll use nullable types from the database all the way through to the UI. In this case, you can ignore SafeDataReader entirely, as it has no value for your application. But for most applications, the only reason for using null values is the second scenario, and this one is quite common. Any application that uses date values, and for which an empty date is a valid entry, will likely use null to represent an empty date. Unfortunately, a whole lot of poorly designed databases allow null values in columns where neither scenario applies, and we developers have to deal with them. These are databases that contain null values even if the application makes no distinction between a 0 and a null. Writing defensive code to guard against tables in which null values are erroneously allowed can quickly bloat data access code and make it hard to read. To avoid this, the SafeDataReader class takes care of these details automatically, by eliminating null values and converting them into a set of default values. As a rule, data reader objects are sealed, meaning that you can t simply subclass an existing data reader class (such as SqlDataReader) and extend it. However, like the SmartDate class with DateTime, it is quite possible to encapsulate or wrap a data reader object.
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