public void GetStatisticalEstimatorResult_Success()
{
const string webServiceId = "first";
const bool byRow = false;
const bool fromFile = false;
List <StatisticalEstimation> expectedResult = new List <StatisticalEstimation>()
{
new StatisticalEstimation()
{
MetricName = "test",
Min = 0,
Max = 50,
Median = 25,
Mean = 25,
Variance = 0,
LowerQuartile = 15,
UpperQuartile = 35
}
};
_metricsDataManager.Setup(metricsDataManager => metricsDataManager.GetMetricsData(webServiceId, fromFile, byRow));
_statisticalEstimator.Setup(statisticalEstimator => statisticalEstimator.FindStatisticalEstimatorResult()).Returns(expectedResult);
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
var actualResult = estimatorController.GetStatisticalEstimatorResult(webServiceId);
var okResult = Assert.IsType <OkObjectResult>(actualResult);
var returnValue = Assert.IsType <List <StatisticalEstimation> >(okResult.Value);
Assert.Equal(expectedResult, returnValue);
}
public void GetApdexScoreResult_Success()
{
const string webServiceId = "first";
const double apdexScoreLimit = 0.05;
const bool byRow = false;
const bool fromFile = true;
ApdexScoreEstimatorResult expectedResult = new ApdexScoreEstimatorResult()
{
ApdexScoreEstimations = new List <ApdexScoreEstimation>()
{
new ApdexScoreEstimation()
{
IntervalStartTime = "15:04:41",
IntervalEndTime = "15:04:46",
ApdexScore = 0.95
}
},
AverageApdexScoreEstimation = 0.95,
ApdexScoreEstimationRating = "Excellent",
InitialApdexScoreLimit = 0.545
};
_metricsDataManager.Setup(metricsDataManager => metricsDataManager.GetMetricsData(webServiceId, fromFile, byRow));
_apdexScoreEstimator.Setup(apdexScoreEstimator => apdexScoreEstimator.FindApdexScoreEstimatorResult(apdexScoreLimit, fromFile, webServiceId))
.Returns(expectedResult);
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
var actualResult = estimatorController.GetApdexScoreResult(apdexScoreLimit, webServiceId);
var okResult = Assert.IsType <OkObjectResult>(actualResult);
var returnValue = Assert.IsType <ApdexScoreEstimatorResult>(okResult.Value);
Assert.Equal(expectedResult, returnValue);
}
public void GetStatisticalEstimatorResult_Failure_InvalidWebServiceId()
{
const string webServiceId = null;
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
var result = estimatorController.GetStatisticalEstimatorResult(webServiceId);
Assert.IsType <BadRequestObjectResult>(result);
}
public void GetFuzzyLogicEstimatorResult_Failure_MissingWebServiceId()
{
const string webServiceId = "first";
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
estimatorController.ModelState.AddModelError("webServiceId", "missing webServiceId");
var result = estimatorController.GetFuzzyLogicEstimatorResult(webServiceId);
Assert.IsType <BadRequestObjectResult>(result);
}
public void GetClusterEstimatorResult_Failure_ThrowsException()
{
const string webServiceId = "first";
_clusterEstimator.As <IMetricsData>()
.Setup(metricsData => metricsData.MetricsData)
.Throws(new Exception());
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
Assert.Throws <Exception>(() => estimatorController.GetClusterEstimatorResult(webServiceId));
}
public void GetClusterEstimatorResult_MoreThanOneMetric_Success()
{
const string webServiceId = "first";
const bool byRow = false;
const bool fromFile = true;
const double densestClusterDensity = 0.03;
const double densestClusterCenterPotential = 0.90;
const double densestClusterSpread = 0.95;
List <double> densestClusterCenter = new List <double>()
{
0.8, 34.5, 0.32
};
List <string[]> metrics = new List <string[]>()
{
new string[]
{
"15:00:10",
"15:00:15",
"30.5",
"0"
}
};
var expectedResult = new List <ClusterEstimation>()
{
new ClusterEstimation()
{
Potential = densestClusterCenterPotential,
Density = densestClusterDensity,
Center = densestClusterCenter,
Spread = densestClusterSpread
}
};
_metricsDataManager.Setup(metricsDataManager => metricsDataManager.GetMetricsData(webServiceId, fromFile, byRow));
_clusterEstimator.Setup(clusterEstimator => clusterEstimator.FindClusterEstimatorResult()).Returns(expectedResult);
_clusterEstimator.As <IMetricsData>().Setup(metricsData => metricsData.MetricsData).Returns(metrics);
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
var actualResult = estimatorController.GetClusterEstimatorResult(webServiceId);
var okResult = Assert.IsType <OkObjectResult>(actualResult);
var returnValue = Assert.IsType <List <ClusterEstimation> > (okResult.Value);
Assert.Equal(expectedResult, returnValue);
}
public void GetStatisticalEstimatorResult_Failure_ThrowsException()
{
const string webServiceId = "first";
const bool byRow = false;
const bool fromFile = false;
_metricsDataManager.Setup(metricsDataManager => metricsDataManager.GetMetricsData(webServiceId, fromFile, byRow));
_statisticalEstimator
.Setup(statisticalEstimator => statisticalEstimator.FindStatisticalEstimatorResult())
.Throws(new Exception());
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
Assert.Throws <Exception>(() => estimatorController.GetStatisticalEstimatorResult(webServiceId));
}
public void GetFuzzyLogicEstimatorResult_Success()
{
const string webServiceId = "first";
const bool byRow = false;
const bool fromFile = false;
IList <double> expectedResult = new List <double>()
{
0.4565,
0.2345
};
_metricsDataManager.Setup(metricsDataManager => metricsDataManager.GetMetricsData(webServiceId, fromFile, byRow));
_fuzzyLogicEstimator.Setup(fuzzyLogicEstimator => fuzzyLogicEstimator.GetAggregatedQualityMembershipFunction());
_fuzzyLogicEstimator.Setup(fuzzyLogicEstimator => fuzzyLogicEstimator.AggregatedQualityMembershipFunction).Returns(expectedResult);
var estimatorController = new EstimatorController(_loadTestDataManager.Object, _apdexScoreEstimator.Object,
_clusterEstimator.Object, _fuzzyLogicEstimator.Object, _statisticalEstimator.Object);
var actualResult = estimatorController.GetFuzzyLogicEstimatorResult(webServiceId);
var okResult = Assert.IsType <OkObjectResult>(actualResult);
var returnValue = Assert.IsType <List <double> >(okResult.Value);
Assert.Equal(expectedResult, returnValue);
}
