@Override
public void parameterValueChanged(IAlgoInstance ai, String parameterId, Object novelValue) {
if (DEBUG_DURATIONS) Timers.SINGLETON.startTask(DEBUG_KEY_UPDATE_DATA);
loadDataFromTable();
if (DEBUG_DURATIONS) Timers.SINGLETON.endTask(DEBUG_KEY_UPDATE_DATA, 5);
}
public void loadDataFromTable() {
if (lastVersionDataToDisplay == null) return;
if (compositeCharts.isDisposed()) return;
try {
showBusy(true);
if (DEBUG_DURATIONS) Timers.SINGLETON.startTask(DEBUG_KEY_LOAD_DATA);
chart.setNotify(false);
dataset.clear();
// decode metadata
final Map<String, Map<String, String>> metadata = getMetadataFromTable();
if (metadata == null) return;
final String columnIteration =
(String)
lastVersionDataToDisplay.getTableMetaData(
GeneticExplorationAlgoConstants.TABLE_METADATA_KEY_COLTITLE_ITERATION);
// define what is the last iteration
final Integer iterationToDisplay =
(Integer)
lastVersionDataToDisplay.getValue(
lastVersionDataToDisplay.getRowsCount() - 1, columnIteration);
// search for the first line to display
int currentRow = lastVersionDataToDisplay.getRowsCount();
Integer currentRowIteration = null;
do {
currentRow--;
currentRowIteration =
(Integer) lastVersionDataToDisplay.getValue(currentRow, columnIteration);
} while (currentRowIteration != iterationToDisplay);
final int rowFirst = currentRow;
// first iterate to find
// * the row end
// * the min and max for each goal
Map<String, Number> key2min = new HashMap<String, Number>(metadata.keySet().size());
Map<String, Number> key2max = new HashMap<String, Number>(metadata.keySet().size());
do {
// for each goal, measure min and max
for (String goal : metadata.keySet()) {
final Map<String, String> metadataGoal = metadata.get(goal);
String colGoalValue =
metadataGoal.get(
GeneticExplorationAlgoConstants.TABLE_COLUMN_GOAL_METADATA_VALUE_VALUE);
Number goalValue = (Number) lastVersionDataToDisplay.getValue(currentRow, colGoalValue);
if (goalValue == null) {
// data not available
continue;
}
Number minBefore = key2min.get(colGoalValue);
if ((minBefore == null) || (minBefore.doubleValue() > goalValue.doubleValue())) {
key2min.put(colGoalValue, goalValue);
}
Number maxBefore = key2max.get(colGoalValue);
if ((maxBefore == null) || (maxBefore.doubleValue() < goalValue.doubleValue())) {
key2max.put(colGoalValue, goalValue);
}
}
currentRowIteration =
(Integer) lastVersionDataToDisplay.getValue(currentRow, columnIteration);
currentRow--;
} while ((currentRowIteration == iterationToDisplay) && (currentRow >= 0));
if (DEBUG_DURATIONS) Timers.SINGLETON.endTask(DEBUG_KEY_LOAD_DATA, 5);
// display all the individuals for this iteration ID
final int rowEnd = currentRow + 1;
labelIteration.setText(
"results for iteration "
+ iterationToDisplay
+ " ("
+ (rowFirst - rowEnd)
+ " Pareto efficient solutions)");
// for each individual...
int individualDisplayId = 1;
for (currentRow = rowFirst; currentRow > rowEnd; currentRow--) {
// for each goal...
for (String goal : metadata.keySet()) {
// retrieve information about this goal
final Map<String, String> metadataGoal = metadata.get(goal);
String colGoalTarget =
metadataGoal.get(
GeneticExplorationAlgoConstants.TABLE_COLUMN_GOAL_METADATA_VALUE_TARGET);
String colGoalValue =
metadataGoal.get(
GeneticExplorationAlgoConstants.TABLE_COLUMN_GOAL_METADATA_VALUE_VALUE);
final Object goalValueObject =
lastVersionDataToDisplay.getValue(currentRow, colGoalValue);
if (goalValueObject == null) {
// data not available
continue;
}
double goalTarget =
((Number) lastVersionDataToDisplay.getValue(rowFirst, colGoalTarget)).doubleValue();
double goalValue = ((Number) goalValueObject).doubleValue();
double valueMin = Math.min(key2min.get(colGoalValue).doubleValue(), goalTarget);
double valueMax = Math.max(key2max.get(colGoalValue).doubleValue(), goalTarget);
valueMin -= valueMin / 10;
double ratio = (valueMax - valueMin);
double b = 1; // ratio/(goalTarget-valueMin)*0.5;
// for the first individual, let's display the goal first
if (currentRow == rowFirst) {
double propTarget = (goalTarget - valueMin) / ratio * b;
final String axisTarget = "target";
dataset.addValue(propTarget, axisTarget, goal);
}
// for all the individuals, also display the value !
double propValue = (goalValue - valueMin) / ratio * b;
dataset.addValue(propValue, "solution " + individualDisplayId, goal);
}
individualDisplayId++;
}
chart.setNotify(true);
// hide all the other ones
if (DEBUG_DURATIONS) Timers.SINGLETON.startTask(DEBUG_KEY_HIDE_USELESS);
if (DEBUG_DURATIONS) Timers.SINGLETON.endTask(DEBUG_KEY_HIDE_USELESS, 5);
} catch (RuntimeException e) {
e.printStackTrace();
} finally {
showBusy(false);
}
}