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The solution that discloses the least amount of identifying information and best limits its use is the most stable long-term solution. When you provide your driver s license or your passport in the real world, you re providing a physical token that contains multiple claims. If you want to purchase a bottle of wine, the only claims of relevance are your age and perhaps your picture. You do not, however, have a physical token that contains only those claims. Instead, you have to provide one of the physical tokens you do have, and that token contains all of your claims name, address, height, weight, and so on. When you think about it, it doesn t make a lot of sense to provide all of this information when only a subset is required. Does the clerk at the all-night liquor store really need to know your address Of course not. But, because of the limitations of tokens in the physical world, it s something you tolerate. In the physical world, there are no mainstream mechanisms to dynamically show just the claims that are relevant in a particular situation or context. In the digital world, it s actually quite different. It is quite possible to do this. My self-issued information card contains a number of claims. As you can see in Figure 3-1, the CardSpace identity selector clearly identifies the claims that are being requested. On the site being accessed in Figure 3-1, you can see that the requested fields were first name, last name, and email address. The identity selector presents the end user with the option of agreeing to send a card (and along with it the information requested).

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You don t need to do anything extra to enable data object updates with this example. The TextBox.Text property uses two-way binding by default, which means that the bound Product object is modified as you edit the text in the text boxes. (Technically, each property is updated when you tab to a new field, because the default source update mode for the TextBox.Text property is LostFocus. To review the different update modes that binding expressions support, refer to 8.)

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You can commit changes to the database at any time. All you need is to add an UpdateProduct() method to the StoreDB class and an Update button to the window. When clicked, your code can grab the current Product object from the data context and use it to commit the update: private void cmdUpdateProduct_Click(object sender, RoutedEventArgs e) { Product product = (Product)gridProductDetails.DataContext; try { App.StoreDB.UpdateProduct(product); } catch { MessageBox.Show("Error contacting database."); } } This example has one potential stumbling block. When you click the Update button, the focus changes to that button, and any uncommitted edit is applied to the Product object. However, if you set the Update button to be a default button (by setting IsDefault to true), there s another possibility. A user could make a change in one of the fields and hit Enter to trigger the update process without committing the last change. To avoid this possibility, you can explicitly force the focus to change before you execute any database code, like this: FocusManager.SetFocusedElement(this, (Button)sender);

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MVVM is intended for projects of a certain scale. If you are a single developer working on a project estimated to take only a week or so, it may be overkill to implement an MVVM solution and the significant infrastructure required to make it work. Each XAML file s code behind can be used to achieve rapid results given a trivial problem to solve, although this can quickly become cumbersome. For projects of a slightly more complex nature, the model and the view can be decoupled. The view then uses the model directly, but the model must make allowances for this and is effectively equal parts model and ViewModel. With the model performing more than one function at once, this can also become a confusing mess. For more serious software products, a fully fledged MVVM architecture is recommended. This decouples the pure domain problem-solving aspect of the model from WPF and Silverlight s infrastructure requirements. The result is a three-layered system where each layer is highly cohesive sticking rigidly to its defined purpose and loosely coupled containing minimal, abstract interdependencies. With the ViewModel and model separated, each can be verified with automated unit testing. The code can be tested in isolation without the confusion of a user interface and can fit in with an existing automated build process. The result is a correctly architectured software product that contains less bugs, is easier to comprehend and maintain, and has a much greater chance of being shipped on time and within budget.

The Product binding example works so well because each Product object is essentially fixed it never changes (except if the user edits the text in one of the linked text boxes). For simple scenarios, where you re primarily interested in displaying content and letting the user edit it, this behavior is perfectly acceptable. However, it s not difficult to imagine a different situation, where the bound Product object might be modified elsewhere in your code. For example, imagine an Increase Price button that executes this line of code: product.UnitCost *= 1.1M;

Note Although you could retrieve the Product object from the data context, this example assumes you re also

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