+ /**
+ * Whenever a trace's statistics back-end finishes computing the statistics
+ * for a given interval, it will send the StatsUpdated signal. This method
+ * will receive this signal and update the statistics view accordingly.
+ *
+ * @param sig
+ * The signal that is received
+ */
+ private void updateStats(boolean isGlobal, Map<String, Long> eventsPerType) {
+
+ final TmfStatisticsTree statsData = TmfStatisticsTreeManager.getStatTree(getTreeID());
+ Map<String, Long> map = eventsPerType;
+ String name = fTrace.getName();
+
+ /*
+ * "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)
+ */
+
+ /* Fill in an the event counts (either cells C or D) */
+ for (Map.Entry<String, Long> entry : map.entrySet()) {
+ statsData.setTypeCount(name, entry.getKey(), isGlobal, 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;
+ }
+ statsData.setTotal(name, isGlobal, globalTotal);
+
+ modelComplete(isGlobal);
+ }
+