public DimensionKey GetValue(T result)
{
string[] dimensionValues = _dimensions.Select(d => d.GetKey(result)).ToArray();
DimensionKey resultKey = new DimensionKey(dimensionValues);
return(resultKey);
}
/// <summary>
/// Builds results into object having column names array and 2d array data grid
/// </summary>
public HistogramResults BuildResults()
{
if (_row == null)
{
throw new InvalidOperationException("Aggregation was never performed.");
}
KeyValuePair <DimensionKey, Val[]>[] results = _row
.Select(r => new KeyValuePair <DimensionKey, Val[]>(r.Key, r.Value.Export().ToArray()))
.ToArray();
OrderLearner orderLearner = new OrderLearner();
results.ForEach(kv => orderLearner.Learn(kv.Value.Select(v => v.Key)));
string[] columnNames = Dimensions
.Select(d => d.DimensionName)
.Concat(orderLearner.LearnedOrder)
.Except(ColumnIgnoreNames)
.ToArray();
object[][] resultValues = new object[_row.Count][];
int rowIndex = 0;
foreach (KeyValuePair <DimensionKey, Val[]> pair in results)
{
resultValues[rowIndex] = new object[columnNames.Length];
DimensionKey dimensions = pair.Key;
Val[] metrics = pair.Value;
for (int i = 0; i < dimensions.Values.Count; i++)
{
resultValues[rowIndex][i] = dimensions.Values[i];
}
for (int i = 0; i < metrics.Length; i++)
{
int columnIndex = Array.FindIndex(columnNames, s => s == metrics[i].Key);
if (columnIndex != -1)
{
resultValues[rowIndex][columnIndex] = metrics[i].Value;
}
}
rowIndex++;
}
ReplaceNames(columnNames, ColumnAliases);
return(new HistogramResults(columnNames, resultValues));
}
public void Aggregate(TData item)
{
DimensionKey key = _dimensionsKeyBuilder.GetValue(item);
_row[key].Add(item);
}
