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This chapter provided more detail on the specific functions of the game controller and how it interfaces to the iPhone. First, I took a look at a similar iPhone accessory, the Griffin iTrip. The iTrip provides the means for connecting the audio output to a FM receiver. Using the iTrip as an example shows you what you can expect with your own accessory. Using a known, productionlevel accessory provides a fantastic baseline to use when comparing your own product development. While an accessory developer would normally create an accessory as part of a solution to a problem, in this case, for the purposes of education, I took a different approach. The rationale was to look at typical communications that happen between an iPhone and any accessory. In general, you are either going to send information to the accessory from the iPhone or the reverse. Starting with the Pong game concept, the most obvious control needed would be to set the position of the player s paddle. For this, you use a potentiometer whose electrical resistance varies as the position is changed. The processor and firmware within the controller reads the voltage from the center tap of the potientiometer and sends that to the iPhone. Though not strictly needed, you add a second user control in the form of a pushbutton to tell the application to serve the ball. Because this function operates much more infrequently than the paddle position, you use an interrupt routine to service the

orchestration supplies them each time BizTalk invokes the rules engine. The facts provided from a custom fact retriever are called long-term facts, and they can be reused each time BizTalk invokes the rules engine. A BizTalk orchestration can also treat the DataConnection in this example as a short-term fact. Accomplish this by creating a DataConnection in an Expression shape and including it as a parameter to the Call Rules shape. However, each orchestration instance would create its own DataConnection. You can improve the scalability and performance of the application by treating the DataConnection as a longterm fact and sharing it each time BizTalk invokes the rules engine. In general, treating a fact as long-term is preferable under the following conditions: The fact value can be shared each time BizTalk invokes the rules engine. Retrieving the fact incurs a significant performance penalty. Caching the fact value will still allow the rules to execute correctly. The fact is not directly available in the orchestration that invokes the rules.

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At the time of this book s writing, Pluto did not have a downloadable, compiled release. We had to install Apache Maven (http://maven.apache.org) and download Pluto s source code from CVS to create a compiled version. Check the Pluto web site for news about a version 1.0 release. If a compiled release is not available when this book is published, the authors will post on our web site, www.portalbook.com, a detailed HOWTO for getting Pluto running.

The rules engine invokes the custom fact retriever s UpdateFacts method each time the policy executes. This method decides when to update the facts. In this example, the UpdateFacts method examines the factsHandleIn parameter to check whether the DataConnection was already created. If the factsHandleIn parameter is null, the method creates the DataConnection, inserts it into the rules engine, and completes by returning the DataConnection object. The next time the rules engine invokes the method, the rules engine includes the object returned by the method in the factsHandleIn parameter. If the factsHandleIn parameter is not null, the method knows that it has already inserted the DataConnection into the rules engine, and it simply returns the same object. Although this solution example uses a simple algorithm to decide when the long-term fact needs updating, the developer can implement a more sophisticated approach. For example, the developer could refresh the facts every hour by returning a DateTime object when the facts are refreshed and decide to update facts by comparing the last refresh time to the current time.

Pluto s deployment process is not terribly easy, and there are three distinct steps after you get Pluto running on your machine. The first is to set up Apache Maven (http://maven.apache.org). Check the Pluto installation instructions to determine which version of Maven to install.

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