public TimeSeriesValues(RegularTimeSeriesRawData d, Frequency frequency, AttributesMap<int> keys, AttributesMap<object> attributes, Series<DateTime, double> values)
: base(frequency, keys, attributes)
{
StartDate = d.StartDate;
EndDate = d.EndDate;
Unit = d.Unit;
Scale = d.Scale;
Mnemonics = d.Mnemonics;
Values = values;
}
public void Add(RegularTimeSeriesRawData item)
{
var dimensions = new string[_dimensions.Length];
var attributes = new object[_attributes.Length];
foreach (var dim in item.Dimensions)
{
var dimIndex = _dimensionIdsMap[dim.DimensionId];
dimensions[dimIndex] = dim.Key;
attributes[dimIndex] = dim.Name;
_dimensionKeyMaps[dimIndex][dim.Name] = dim.Key;
}
if (item.TimeSeriesAttributes != null)
{
foreach (var attr in item.TimeSeriesAttributes)
{
var attrIndex = _attributeIds[attr.Key];
attributes[attrIndex] = attr.Value;
}
}
var frequency = item.Frequency.ToFrequency();
var rangeTuple = Tuple.Create(item.StartDate, item.EndDate, frequency);
IReadOnlyList <DateTime> timeRange;
if (!_timeRangeCache.TryGetValue(rangeTuple, out timeRange))
{
timeRange = TimeFormat.InvariantTimeFormat.ExpandRangeSelection(item.StartDate, item.EndDate, frequency);
_timeRangeCache[rangeTuple] = timeRange;
}
var valuesBuilder = new SeriesBuilder <DateTime, double>();
int valueIndex = 0;
foreach (var valueItem in item.Values)
{
if (valueItem != null)
{
valuesBuilder.Add(timeRange[valueIndex], Convert.ToDouble(valueItem));
}
valueIndex++;
}
var values = new TimeSeriesValues(
item,
frequency,
new AttributesMap <string>(_dimensions, dimensions),
new AttributesMap <object>(_attributes, attributes),
valuesBuilder.Series);
_values[values] = values;
}
