public void CalculateMinSaltSplit()
{
long customerId = 0;
string selectedTrainId = "0";
double grainsWeightTotal = 100;
List<train> lstTrains = new List<train>() { new train() { } };
List<vessel> lstVessels = new List<vessel>() { new vessel() };
mockedPredictiveModelRepository.Setup(m => m.GetCustomerTrains(customerId)).Returns(lstTrains);
mockedPredictiveModelRepository.Setup(m => m.GetCustomerVessels(customerId)).Returns(lstVessels);
mockedPredictiveModelRepository.Setup(m => m.GetGrainsWeightTotal(Convert.ToString(customerId))).Returns(grainsWeightTotal);
IPredictiveModelService service = new PredictiveModelService(mockedRepositoryTrain.Object, mockedRepositoryWaterData.Object, mockedPredictiveModelRepository.Object, mockedVesselRepository.Object);
var returnObj = service.CalculateMinSaltSplit(customerId, selectedTrainId);
Assert.IsNotNull(returnObj);
}
public void CalculateMinSaltSplitForTrain()
{
long customerId = 0;
string selectedTrainId = "1";
double degredation = 0;
double grainsWeightTotal = 100;
List<train> lstTrains = new List<train>() { new train() { } };
List<vessel> lstVessels = new List<vessel>() { new vessel() { train_trainID = 1 } };
mockedPredictiveModelRepository.Setup(m => m.GetCustomerTrains(customerId)).Returns(lstTrains);
mockedPredictiveModelRepository.Setup(m => m.GetCustomerVessels(customerId)).Returns(lstVessels);
mockedPredictiveModelRepository.Setup(m => m.GetGrainsWeightTotal(Convert.ToString(customerId))).Returns(grainsWeightTotal);
IPredictiveModelService service = new PredictiveModelService(mockedRepositoryTrain.Object, mockedRepositoryWaterData.Object, mockedPredictiveModelRepository.Object, mockedVesselRepository.Object);
var returnObj = service.CalculateMinSaltSplit(customerId, degredation, selectedTrainId);
Assert.IsNotNull(returnObj);
Assert.IsInstanceOfType(returnObj, typeof(List<double>));
var result = (List<double>)returnObj;
Assert.IsNotNull(result);
mockedPredictiveModelRepository.Verify(m => m.GetCustomerTrains(customerId), Times.Once());
mockedPredictiveModelRepository.Verify(m => m.GetCustomerVessels(customerId), Times.Once());
mockedPredictiveModelRepository.Verify(m => m.GetGrainsWeightTotal(Convert.ToString(customerId)), Times.Once());
}
public void Thoughputchart()
{
string CustomerId = "1";
double Cur_ss = 0;
long customerId = 0;
double[] trains = new double[2];
trains[0] = 0.0;
trains[1] = 0.0;
string selectedTrainId = "1";
double startingSS = 99.75, resinLifeExpectancy = 3;
int simulationconfidence = 10;
int num_simulation_iterations =10;
string simMethod = "Min";
int stdDev_threshold =10;
bool DontReplaceResin = false;
double resinAge = 3, Replacement_Level = 10, RTIcleaning_Level = 10;
string SelectedTrain = "0";
List<vessel> lstVessels = new List<vessel>() { new vessel() };
mockedPredictiveModelRepository.Setup(m => m.FetchSourceIdTP(selectedTrainId)).Returns(trains);
mockedRepositoryWaterData.Setup(m => m.GetAll()).Returns((new List<water_data>() { new water_data() { sourceID = 0 } }).AsQueryable());
mockedRepositoryTrain.Setup(m => m.GetAll()).Returns(new List<train>().AsQueryable());
mockedPredictiveModelRepository.Setup(m => m.GetCustomerVessels(customerId)).Returns(lstVessels);
IPredictiveModelService service = new PredictiveModelService(mockedRepositoryTrain.Object, mockedRepositoryWaterData.Object, mockedPredictiveModelRepository.Object, mockedVesselRepository.Object);
var returnObj = service.Thoughputchart(CustomerId, Cur_ss, startingSS, resinLifeExpectancy, simulationconfidence, num_simulation_iterations, simMethod, stdDev_threshold, resinAge, Replacement_Level, RTIcleaning_Level, SelectedTrain, DontReplaceResin);
Assert.IsNotNull(returnObj);
Assert.IsInstanceOfType(returnObj, typeof(PriceData));
var result = (PriceData)returnObj;
Assert.IsNotNull(result);
mockedPredictiveModelRepository.Verify(m => m.FetchSourceIdTP(selectedTrainId), Times.Once());
mockedRepositoryTrain.Verify(m => m.GetAll(), Times.Once());
}
public void CurrentSSConditions()
{
double ResinAge = 30;
double CleaningEffectiveness = 15;
double startingSS = 10;
double lifeExpectancy = 156;
IPredictiveModelService service = new PredictiveModelService(mockedRepositoryTrain.Object, mockedRepositoryWaterData.Object, mockedPredictiveModelRepository.Object, mockedVesselRepository.Object);
var returnObj = service.CurrentSSConditions(ResinAge,CleaningEffectiveness, startingSS, lifeExpectancy);
Assert.IsNotNull(returnObj);
Assert.IsInstanceOfType(returnObj, typeof(Dictionary<double, double>));
var result = (Dictionary<double, double>)returnObj;
Assert.IsNotNull(result);
}
public void ComputeDataPoints()
{
double numWeeks = 5;
double startingss = 100;
double maxDegSss = 10;
SystemSummaryViewModel systemSummaryViewModel = new SystemSummaryViewModel();
IPredictiveModelService service = new PredictiveModelService(mockedRepositoryTrain.Object, mockedRepositoryWaterData.Object, mockedPredictiveModelRepository.Object, mockedVesselRepository.Object);
var returnObj = service.ComputeDataPoints(numWeeks, startingss, maxDegSss);
Assert.IsNotNull(returnObj);
}