public void PerformProcess(IBinder binder)
{
// generate dummy business objects
IDictionary businessObjects = DummyData.GetInstance().GetBusinessObjects(nbDecaCustomers);
// instantiate an inference engine, bind my data and process the rules
IInferenceEngine ie = new IEImpl(binder);
ie.LoadRuleBase(new RuleML09NafDatalogAdapter(ruleBaseFile, System.IO.FileAccess.Read));
ie.Process(businessObjects);
// processing is done, let's analyze the results
IList <IList <Fact> > qrs = ie.RunQuery("Fraudulent Customers");
Console.WriteLine("\nDetected {0} fraudulent customers.", qrs.Count);
if (qrs.Count != 2 * nbDecaCustomers)
{
Console.WriteLine("\nError! " + 2 * nbDecaCustomers + " was expected.");
}
// check if the customer objects have been flagged correctly
int flaggedCount = 0;
foreach (Customer customer in (ArrayList)businessObjects["CUSTOMERS"])
{
if (customer.Fraudulent)
{
flaggedCount++;
}
}
if (flaggedCount != 2 * nbDecaCustomers)
{
throw new Exception("\nError! " + 2 * nbDecaCustomers + " flagged Customer objects were expected.\n");
}
else
{
Console.WriteLine("\nCustomer objects were correctly flagged\n");
}
}
public void Run()
{
// prepare some dummy data
Hashtable businessObjects = new Hashtable();
ArrayList callData = DummyData.GetInstance().GetBusinessObjects(nbDodecaCalls);
businessObjects.Add("CALLSDATA", callData);
// process this data
Console.WriteLine("Using RuleBase: {0}", ie.Label);
long iniTime = DateTime.Now.Ticks;
ie.Process(businessObjects);
Console.WriteLine("{0} Calls processed in: {1} milliseconds",
12 * nbDodecaCalls,
(int)(DateTime.Now.Ticks - iniTime) / 10000);
// ensure the engine is rating correctly
foreach (CallData cd in callData)
{
cd.CheckValidity();
}
}
public static DummyData GetInstance()
{
if (dd == null) dd = new DummyData();
return dd;
}