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the faces-config.xml file. The Seam component model includes annotations that can be used to link an instance of a bean directly to a JSF managed bean name. When the name is used in a JSF (one of its properties is used as the value of an HTML input field, for example), the bean instance will automatically be initialized, if necessary, and used as the backing bean for the JSF. There s no need to connect the bean to the JSF managed bean name using faces-config.xml. The Seam component model also supports a more general version of dependency injection, called bijection. Standard dependency injection involves a one-time initialization of a bean reference within a component, typically done by some kind of container or other runtime service. Seam bijection extends this to support the following: Two-way propagation of references: A component can have a reference injected by the container, and a component can also outject a reference to the enclosing context as well. Dynamic updates: Instead of doing one-time injection of references, bijection is done on each invocation of the component. This is key in the Seam component model, since components can be stateful, and therefore they and their dependent beans can evolve across invocations. Multiple contexts: Dependencies (incoming and outgoing) can be established across multiple Seam contexts, rather than being forced to exist within a single context. So a session-scoped component can inject request-scoped beans and outject application-scoped beans, for example. This may all sound a bit esoteric at this point, but the value of these features in the Seam component model will be clear once I show you some example code.

Note As befits the subject, RubyGems itself is available as a gem. We ll get into more detail later about

The Coca-Cola Company General Electric Company Advanced Micro Devices The Walt Disney Company Wal-Mart Stores

In Table 8-4, the price differentials are computed with respect to the NYSE. Since prices on the PSE are higher for the Coca-Cola Company, General Electric Company, and Advanced Micro Devices, the price differentials are positive. However, in the case of the Walt Disney Company, the price differential is negative because the price for the Walt Disney Company is higher on the NYSE than on the PSE. In step 4, the arbitrage engine would generate returns against these differentials. Percentage returns are computed by dividing the price differential with prices prevailing on the base exchange (the NYSE) and expressing them as percentages (see Table 8-5). Table 8-5. Calculating Percentage Returns (Step 4)

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The example we re going to use for much of the book is an online catalog of high-tech gadgets (mobile phones, laptops, digital media players, etc.). In coming chapters, we ll build up this application from the simple data entry tool described here into something a bit more interesting, and we ll also build solutions to other real-world cases, using the various capabilities of the Seam framework. But for now, we ll start with a very simple application that can only do two things: Display a list of gadgets contained in the catalog. Allow the user to enter a new gadget into the catalog. At this point, our model for the application will be painfully simple: a gadget will only consist of a description (e.g., Acme Powertop X1 Laptop ) and a type (e.g., laptop ). The

how RubyGems is able to update itself on your system. For now, you can safely ignore the .gem download.

The Coca-Cola Company General Electric Company Advanced Micro Devices The Walt Disney Company Wal-Mart Stores

Percentage Returns = (Price Differential / NYSE Prices) 100

data about these gadgets will be stored and managed in a relational database. The pageflow for the user interface will be equally simplistic: a main page will display the list of gadgets in the database and offer a single option to add a new gadget to the database. This option will bring the user to an entry form that prompts for the necessary attributes, and on submission the new gadget will be stored in the database, and the updated list of gadgets will be displayed again. We can represent the solution design at this point with a pageflow diagram and a relational database diagram. The pageflow for the first iteration of the Gadget Catalog is shown in Figure 1-3, and the database structure (such as it is) is shown in Figure 1-4.

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