/**
* NOT YET TESTED
*
* @param doc
*/
public static void setTodaysDateAsDCT(SieveDocument doc) {
Date today = Calendar.getInstance().getTime();
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
String val = sdf.format(today);
Timex dct = new Timex(val);
dct.setDocumentFunction(DocumentFunction.CREATION_TIME);
doc.addCreationTime(dct);
}
/**
* @desc Sets the first timex of type DATE in the document timex list as the document creation
* time TODO: make sure "first" in list is necessarily first that appears in document! Should
* be, unless the relevant string is somehow dropped during sentence tokenization.
*/
public static void setFirstDateAsDCT(SieveDocument doc) {
if (doc.getDocstamp() == null) {
for (Timex nextTimex : doc.getTimexes()) {
if (nextTimex.getType().equals(Timex.Type.DATE)) {
nextTimex.setDocumentFunction(DocumentFunction.CREATION_TIME);
doc.addCreationTime(nextTimex);
break;
}
}
}
}
/**
* This method returns the most common day in the document. If there is a tie, the day from the
* set of most common days is chosen. If none are specified, today's date is returned.
*
* @param doc
* @return
*/
public static void setMostCommonDateAsDCT(SieveDocument doc) {
List<Timex> timexes = doc.getTimexes();
LinkedHashMap<String, Integer> valToCount =
new LinkedHashMap<
String,
Integer>(); // LinkedHashMap ensures that iteration occurs in order of key insertion
// count the number of times each day occurs
for (Timex timex : timexes) { // note that timexes are in order of appearance in document.
String val = timex.getValue();
String valDay = Timex.dateFromValue(val);
if (valDay == null) continue;
if (valToCount.containsKey(valDay)) {
valToCount.put(valDay, valToCount.get(valDay) + 1);
} else {
valToCount.put(valDay, 1);
}
}
// find the day that occurs the most.
int max = 0; // number of occurrences for the most common day
ArrayList<String> topDayVals = new ArrayList<String>();
for (String valKey :
valToCount
.keySet()) { // Iteration order is determined by the location of the first timex
// associated with key in the Timexes ArrayList, which should correspond to
// document appearance order
if (valToCount.get(valKey) > max) {
max = valToCount.get(valKey); // update max number of occurrences for the value
topDayVals.add(valKey);
} else if (valToCount.get(valKey) == max) topDayVals.add(valKey);
}
if (topDayVals.size() > 0) {
Timex dct = new Timex(topDayVals.get(topDayVals.size() - 1));
dct.setDocumentFunction(DocumentFunction.CREATION_TIME);
doc.addCreationTime(dct);
}
}