/*
* Update the tree for a given trace
*/
private void updateStats(Map<String, Long> eventsPerType) {
final TmfStatisticsTree statsData = TmfStatisticsTreeManager.getStatTree(fViewer.getTreeID());
if (statsData == null) {
/* The stat tree has been disposed, abort mission. */
return;
}
Map<String, Long> map = eventsPerType;
String name = fJobTrace.getName();
/**
*
*
* <pre>
* "Global", "partial", "total", etc., it's all very confusing...
*
* The base view shows the total count for the trace and for
* each even types, organized in columns like this:
*
* | Global | Time range |
* trace name | A | B |
* Event Type | | |
* <event 1> | C | D |
* <event 2> | ... | ... |
* ... | | |
*
* Here, we called the cells like this:
* A : GlobalTotal
* B : TimeRangeTotal
* C : GlobalTypeCount(s)
* D : TimeRangeTypeCount(s)
* </pre>
*/
/* Fill in an the event counts (either cells C or D) */
for (Map.Entry<String, Long> entry : map.entrySet()) {
statsData.setTypeCount(name, entry.getKey(), fIsGlobal, entry.getValue());
}
/*
* Calculate the totals (cell A or B, depending if isGlobal). We will
* use the results of the previous request instead of sending another
* one.
*/
long globalTotal = 0;
for (long val : map.values()) {
globalTotal += val;
}
/* Update both the tree model and the piechart model */
statsData.setTotal(name, fIsGlobal, globalTotal);
TmfPieChartStatisticsModel model = fViewer.getPieChartModel();
if (model != null) {
model.setPieChartTypeCount(fIsGlobal, fJobTrace, eventsPerType);
}
/* notify that the viewer needs to be refreshed */
fViewer.modelComplete(fIsGlobal);
}
