internal MainLearningMethod(IXmlFileController fileController, ITreeBuilder builder)
{
ActionLearningStrategy = new MainActionLearningStrategy();
var controller = new SubstitutionController(new SubstitutionDocumentConverter(), fileController, new SubstitutionMapper());
DecisionTreeLearningStrategy = new MainDecisionTreeLearningStrategy(controller, builder);
DesireLearningStrategy = new MainDesireLearningStrategy();
EmotionLearningStrategy = new MainEmotionLearningStrategy();
MemoryLearningStrategy = new MainMemoryLearningStrategy();
OpinionLearningStrategy = new MainOpinionLearningStrategy();
PersonalValueLearningStrategy = new MainPersonalValueLearningStrategy(new PersonalValueAssociations());
QualityLearningStrategy = new MainQualityLearningStrategy();
}
private static bool RunDecreaseQualityLearningTest(global::RNPC.Core.Character character, MainQualityLearningStrategy learningStrategy, int quality, string qualityName)
{
//Act
learningStrategy.AnalyzeAndLearn(character);
Type type = character.MyTraits.GetType();
PropertyInfo info = type.GetProperty(qualityName);
if (info == null)
{
return(false);
}
int newValue = (int)info.GetValue(character.MyTraits);
//Assert
return(quality > newValue);
}
public void AnalyzeAndLearn_NodeResultAllPositive_WillpowerWentUp()
{
//ARRANGE
MainQualityLearningStrategy learningStrategy = new MainQualityLearningStrategy();
var Rick = new Person("Rick", Gender.Male, Sex.Male, Orientation.Pansexual, Guid.NewGuid());
int[] compiledResults = { 0, 0 };
//ACT
for (int i = 0; i < 1000; i++)
{
var character = new global::RNPC.Core.Character(Rick, Archetype.TheCreator)
{
FileController = new DecisionTreeFileController(),
DecisionTreeBuilder = new DecisionTreeBuilder()
};
List <NodeTestInfo> nodeTests = new List <NodeTestInfo>
{
new NodeTestInfo
{
CharacteristicName = "Willpower",
TestedCharacteristic = CharacteristicType.Quality,
Result = true,
AttributeValue = character.MyTraits.Willpower,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Willpower",
TestedCharacteristic = CharacteristicType.Quality,
Result = true,
AttributeValue = character.MyTraits.Willpower,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Willpower",
TestedCharacteristic = CharacteristicType.Quality,
Result = true,
AttributeValue = character.MyTraits.Willpower,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Willpower",
TestedCharacteristic = CharacteristicType.Quality,
Result = true,
AttributeValue = character.MyTraits.Willpower,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Willpower",
TestedCharacteristic = CharacteristicType.Quality,
Result = true,
AttributeValue = character.MyTraits.Willpower,
Modifier = 0
}
};
character.MyMemory.AddNodeTestResults(nodeTests);
var willpower = character.MyTraits.Willpower;
bool result = RunIncreaseQualityLearningTest(character, learningStrategy, willpower, "Willpower");
if (result)
{
compiledResults[0]++;
}
else
{
compiledResults[1]++;
}
}
//ASSERT
//Stat is 20%. with random we allow +-2%
Assert.IsTrue(compiledResults[0] < 220);
Assert.IsTrue(compiledResults[0] > 180);
}
