/// <summary>
/// Builds results into object having collumn names array 2d array data grid
/// </summary>
public HistogramResults BuildResults()
{
if (_row == null)
throw new InvalidOperationException("LoadTest wasn't performed with this HistogramAggregator");
OrderLearner orderLearner = new OrderLearner();
_row.ForEach(i => orderLearner.Learn(i.Value.ColumnNames));
string[] columnNames = _dimensions
.Select(d => d.DimensionName)
.Concat(orderLearner.LearnedOrder)
.Except(_ignoredColumnNames)
.ToArray();
object[][] resultValues = new object[_row.Count][];
int rowIndex = 0;
foreach (KeyValuePair<DimensionValues, IMetric> pair in _row)
{
resultValues[rowIndex] = new object[columnNames.Length];
DimensionValues dimensions = pair.Key;
IMetric metrics = pair.Value;
for (int i = 0; i < dimensions.Values.Count; i++)
{
resultValues[rowIndex][i] = dimensions.Values[i];
}
for (int i = 0; i < metrics.ColumnNames.Length; i++)
{
int columnIndex = Array.FindIndex(columnNames, s => s == metrics.ColumnNames[i]);
if(columnIndex != -1)
resultValues[rowIndex][columnIndex] = metrics.Values[i];
}
rowIndex++;
}
ReplaceNames(columnNames, _columnNameAliases);
return new HistogramResults(columnNames, resultValues);
}
public ResultsMapper(OrderLearner orderLearner)
{
if (orderLearner == null) throw new ArgumentNullException(nameof(orderLearner));
_orderLearner = orderLearner;
}
