// Set [dataIsDailyPrice] = true if [priceTbl] contains all day data (not a real time data.
/// <summary>
/// Agrregate a data table to hourly,daily data...
/// </summary>
/// <param name="priceTbl">source data to be aggregated </param>
/// <param name="cultureCode"></param>
/// <param name="isDailyPrice">
/// Volume can be accumulated real-time or at the end of the day.
/// - If data is collected in realtime,
/// updateVolume table is used to culmulated the volume for each day and that will need some more resources.
/// - If data is collected at the end of the day, the voulume alredy is the total volume and updateVolume table
/// should not be used to save resources.
/// </param>
/// <param name="onAggregateDataFunc">function that was triggered after each agrregation</param>
public static void AggregatePriceData(data.baseDS.priceDataDataTable priceTbl, CultureInfo cultureInfo,
OnAggregateData onAggregateDataFunc)
{
data.baseDS.priceDataSumDataTable priceSumDataTbl = new data.baseDS.priceDataSumDataTable();
agrregateStat myAgrregateStat = new agrregateStat();
myAgrregateStat.maxCount = priceTbl.Count;
priceTbl.DefaultView.Sort = priceTbl.onDateColumn.ColumnName + "," + priceTbl.stockCodeColumn.ColumnName;
data.baseDS.priceDataRow priceDataRow;
decimal changeVolume;
int lastYear = int.MinValue;
for (int idx = 0; idx < priceTbl.DefaultView.Count; idx++)
{
priceDataRow = (data.baseDS.priceDataRow)priceTbl.DefaultView[idx].Row;
myAgrregateStat.count = idx;
if (onAggregateDataFunc != null)
{
onAggregateDataFunc(myAgrregateStat);
}
if (myAgrregateStat.cancel)
{
priceSumDataTbl.Clear();
break;
}
changeVolume = priceDataRow.volume;
foreach (AppTypes.TimeScale timeScale in AppTypes.myTimeScales)
{
if (timeScale.Type == AppTypes.TimeScaleTypes.RealTime)
{
continue;
}
AggregatePriceData(priceDataRow, changeVolume, timeScale, cultureInfo, priceSumDataTbl);
Application.DoEvents();
}
//Update and clear cache to speed up the performance
if (lastYear != priceDataRow.onDate.Year)
{
application.DbAccess.UpdateData(priceSumDataTbl);
priceSumDataTbl.Clear();
lastYear = priceDataRow.onDate.Year;
}
}
application.DbAccess.UpdateData(priceSumDataTbl);
}
// Importing can run continuously for many days,
// after each day the last data should be reset to reduce system resources
public void Reset()
{
priceSumTbl.Clear();
}
// Set [dataIsDailyPrice] = true if [priceTbl] contains all day data (not a real time data.
/// <summary>
/// Agrregate a data table to hourly,daily data...
/// </summary>
/// <param name="priceTbl">source data to be aggregated </param>
/// <param name="cultureCode"></param>
/// <param name="isDailyPrice">
/// Volume can be accumulated real-time or at the end of the day.
/// - If data is collected in realtime,
/// updateVolume table is used to culmulated the volume for each day and that will need some more resources.
/// - If data is collected at the end of the day, the voulume alredy is the total volume and updateVolume table
/// should not be used to save resources.
/// </param>
/// <param name="onAggregateDataFunc">function that was triggered after each agrregation</param>
public static void AggregatePriceData(data.baseDS.priceDataDataTable priceTbl, CultureInfo cultureInfo,
OnAggregateData onAggregateDataFunc)
{
data.baseDS.priceDataSumDataTable priceSumDataTbl = new data.baseDS.priceDataSumDataTable();
agrregateStat myAgrregateStat = new agrregateStat();
myAgrregateStat.maxCount = priceTbl.Count;
priceTbl.DefaultView.Sort = priceTbl.onDateColumn.ColumnName + "," + priceTbl.stockCodeColumn.ColumnName;
data.baseDS.priceDataRow priceDataRow;
decimal changeVolume;
int lastYear = int.MinValue;
for (int idx = 0; idx < priceTbl.DefaultView.Count; idx++)
{
priceDataRow = (data.baseDS.priceDataRow)priceTbl.DefaultView[idx].Row;
myAgrregateStat.count = idx;
if (onAggregateDataFunc != null) onAggregateDataFunc(myAgrregateStat);
if (myAgrregateStat.cancel)
{
priceSumDataTbl.Clear();
break;
}
changeVolume = priceDataRow.volume;
foreach (AppTypes.TimeScale timeScale in AppTypes.myTimeScales)
{
if (timeScale.Type == AppTypes.TimeScaleTypes.RealTime) continue;
AggregatePriceData(priceDataRow, changeVolume, timeScale, cultureInfo, priceSumDataTbl);
Application.DoEvents();
}
//Update and clear cache to speed up the performance
if (lastYear != priceDataRow.onDate.Year)
{
application.DbAccess.UpdateData(priceSumDataTbl);
priceSumDataTbl.Clear();
lastYear = priceDataRow.onDate.Year;
}
}
application.DbAccess.UpdateData(priceSumDataTbl);
}
