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foreach (DesignerVerb verb in Verbs) { MenuItem menuItem = new MenuItem(verb.Text, new EventHandler(OnMenuClicked)); menuItem.Tag = verb; contextMenu.MenuItems.Add(menuItem); } //add any context menu items based on the //selected object foreach (MenuItem menu in BuildItemsForSelection()) { contextMenu.MenuItems.Add(menu); } //show the newly constructed context menu //on the workflow view WorkflowView workflowView = GetService(typeof(WorkflowView)) as WorkflowView; if (workflowView != null) { //show the context menu contextMenu.Show(workflowView, workflowView.PointToClient(new Point(x, y))); } } } The ShowContextMenu method is invoked when the user right-clicks somewhere within the workflow designer. The code in this method first creates a MenuItem object for each DesignerVerb that is defined in the Verbs property of the base class. The list of verbs is populated by the workflow designer; you don t need to explicitly define them. They include the standard workflow commands such as View Cancel Handlers, View Fault Handlers, Add Branch, and so on. After adding the standard designer verbs, the code calls the BuildItemsForSelection private method and adds a MenuItem for each object returned from the method. The BuildItemsForSelection method (shown next) produces a list of other menu items based on the Type of the selected item. Finally, the ShowContextMenu method shows the context menu that was just created. /// /// /// /// <summary> Build the menu items based on the selected context </summary> <returns></returns>

In the previous chapter, you displayed data via controls that presented information using numbers formatted in a list or hierarchy. The goal of those controls was to effectively deliver insight from large amounts of data. You learned some techniques that you could implement in helping list-based controls deliver information quickly. However, in some cases, lists of data (no matter how simple the interactivity) are just not good enough to deliver key information effectively. This is where data visualization techniques come in. Data visualizations surface information from data using graphical means. Data visualizations have the same goals as their list-based counterparts. With data visualizations, insight and key information still needs to be delivered effectively. However, data visualizations use the power of graphics rather than numbers to do this. For example, Figure 5-1 shows Microsoft s Bing visual search engine (www.bing.com/visualsearch) powered by Silverlight. In this image, Silverlight is used to show dog breed images in a 3D list layout to aid the user in searching for information visually. This is a great improvement over basic text keyword searches.

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private IList<MenuItem> BuildItemsForSelection() { List<MenuItem> items = new List<MenuItem>(); //determine if all selected items are valid for //our context menu Boolean isActivity = false; Boolean isComposite = false; ISelectionService selectionService = GetService(typeof(ISelectionService)) as ISelectionService;

a character class that matches a letter from a to z, followed by . . . a character class that matches a hyphen, letter, or digit . . . found any number of times . . . a letter or digit . . . the end of the group labeled host.

Figure 5-1. A list of dog breeds in a 3D Silverlight list implemented in Bing Visual Search Data visualizations are used across different technologies and various software applications. Over the years, data visualizations have been called a number of different names in different circles. Two of the more popular names are information visualizations and infographics. In addition, some software

The rule condition you entered is saved when you select OK. Based on this condition, the leftmost branch of the IfElseActivity tree is executed when the Price property of the workflow is greater than or equal to 100.00. This same procedure can be followed for any activities that use a simple rule condition such as this.

professionals use the term visualizations. If you are interested in researching this topic further, you can find additional information by searching for those alternative names.

The RuleSet editor allows you to enter and maintain multiple rules that work together as a group. To demonstrate the RuleSet editor, you can continue where you left off with the previous example. Drag and drop a PolicyActivity to the leftmost IfElseBranchActivity. The workflow should now look like Figure 2-23.

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