public void writeRecommendations(Output output, Map<String, Recommendation> recommendations) {
kryo.writeObject(output, recommendations.size());
for (String key : recommendations.keySet()) {
Recommendation rec = recommendations.get(key);
rec.clean();
kryo.writeObject(output, rec.source.key());
kryo.writeObject(output, rec.target.key());
kryo.writeObject(output, rec);
}
}
private boolean containsRecommendation(Recommendation recommendation) {
EntityManager mgr = getEntityManager();
boolean contains = true;
try {
Recommendation item = mgr.find(Recommendation.class, recommendation.getKey());
if (item == null) {
contains = false;
}
} finally {
mgr.close();
}
return contains;
}
// The implementing class can assume that the provided LogAbstraction
// partialTrace is
// of the same class, i.e. this.getClass().equals(partialTrace.getClass()) =
// true
//
// The implementing class can assume that the LogEvent provided is in the
// set returned by
// getPossibleNextLogEvents(partialTrace), i.e. in all instances
// represented by this abstraction, the given LogEvent is a possible
// next step.
public final Recommendation getRecommendation(
LogEvent logEventToDo, LogAbstraction partialTrace, SortedSet<LogEvent> enabledEvents) {
Recommendation rec = new Recommendation();
rec.setTask(logEventToDo.getModelElementName());
rec.setEventType(logEventToDo.getEventType());
double weight = calculateFitness(partialTrace);
if (weight > 0) {
SortedSet<LogEvent> possibleEvents = getPossibleNextLogEvents(partialTrace);
if (possibleEvents.contains(logEventToDo) && enabledEvents.contains(logEventToDo)) {
// It is possible to do this event, so give a recommendation
double[] vals = getAllValuesAndWeights(weight);
rec.setDoExpectedValue(vals[0]);
rec.setDoExpectedSquaredValue(vals[1]);
rec.setDoWeight(vals[2]);
} else {
// It is not possible to do this event, so give a "negative"
// recommendation
double w = 0;
double e = 0;
double e2 = 0;
for (LogEvent evt : possibleEvents) {
if (!enabledEvents.contains(evt)) {
continue;
}
// Event evt is not a possible event in this case,
// but is enabled in the query
double[] vals = getAllValuesAndWeights(weight);
double newW = w + vals[2];
e = (e * w + vals[0] * vals[2]) / newW;
e2 = (e2 * w + vals[1] * vals[2]) / newW;
w = newW;
}
rec.setDontExpectedValue(e);
rec.setDontExpectedSquaredValue(e2);
rec.setDontWeight(w);
}
}
return rec;
}
public void addRecommendation(Recommendation recommendation) {
recommendations.put(recommendation.getQuery(), recommendation);
}
@Override
public Recommendation read(Kryo kryo, Input input, Class<Recommendation> type) {
kryo.readObject(input, String.class);
CosineScore scoring = new CosineScore();
int limits = kryo.readObject(input, int.class);
int sortersSize = kryo.readObject(input, int.class);
Recommendation rec = new Recommendation(source, target, scoring, limits);
while (sortersSize > 0) {
int size = kryo.readObject(input, int.class);
long srcId = kryo.readObject(input, long.class);
float waterline = kryo.readObject(input, float.class);
while (size > 0) {
long tgtId = kryo.readObject(input, long.class);
float score = kryo.readObject(input, float.class);
rec.add(srcId, tgtId, score);
size--;
}
if (rec.sorters.containsKey(srcId)) {
rec.sorters.get(srcId).waterline = waterline;
} else {
logger.warn(String.format("vecid[%d] not in sorters", srcId));
}
sortersSize--;
}
return rec;
}
