public void TestTrendingCalculatorCustomCriteria_ShouldRunSuccessfully_Suite2()
{
var trendingStrategy = new CustomTrendingCalculator();
var inputData = DataPreparator.PrepareData_Suite2();
var output = trendingStrategy.CalculateTrending <TestInputModel>(6, 1, inputData);
Assert.AreEqual("ABC", output.First().First().item.MovieName);
Assert.AreEqual("PQR", output[1][1].item.MovieName);
}
/// <summary>
/// This method evaluates the trending data based on the strategy selected
/// </summary>
/// <param name="windowPeriod">Window Period to consider for bucketing your input data. E.g. Last 6 months data means window period is 6</param>
/// <param name="numberOfSegmentsOfEachUnit">Number of segments in each window unit. E.g. each window is divided into 2 buckets</param>
/// <param name="listOfModels">List of models extending the base class TModel containing the input list of data used for finding trending data</param>
/// <param name="strategy">Enum of the type TrendCalculationStrategy which returns the trending models as per Custom Criteria or ZMean Criteria</param>
/// <returns></returns>
public IEnumerable <T> FindTrendingData <T>(int windowPeriod, int numberOfSegmentsOfEachUnit, List <T> listOfModels, TrendCalculationStrategy strategy) where T : TModel
{
var validationMessage = IsInputDataValid(windowPeriod, numberOfSegmentsOfEachUnit, listOfModels.ConvertAll(x => (TModel)x));
if (!string.IsNullOrWhiteSpace(validationMessage))
{
throw new ArgumentNullException(validationMessage);
}
validationMessage = IsCountWithPeriodsDataValid(windowPeriod, numberOfSegmentsOfEachUnit, listOfModels.ConvertAll(x => (TModel)x));
if (!string.IsNullOrWhiteSpace(validationMessage))
{
throw new ArgumentException(validationMessage);
}
this._strategy = strategy;
AbstractTrendingCalculator baseCalculator = null;
switch (_strategy)
{
case TrendCalculationStrategy.ZMean:
baseCalculator = new ZMeanTrendingCalculator();
break;
case TrendCalculationStrategy.Custom:
baseCalculator = new CustomTrendingCalculator();
break;
default:
baseCalculator = new CustomTrendingCalculator();
break;
}
var trendingModels = baseCalculator.CalculateTrending <T>(windowPeriod, numberOfSegmentsOfEachUnit, listOfModels);
var sortedModel = baseCalculator.GetSortedCombinedResult <T>(trendingModels);
return(baseCalculator.PostProcessZScore <T>(sortedModel.ToList()).Select(x => x.item));
}
