private void updateAllRecommendableItems()
{
FastIDSet ids = new FastIDSet(dataModel.getNumItems());
foreach (var entry in averageDiffs.entrySet())
{
ids.add(entry.Key);
var it = entry.Value.Keys;
foreach (var item in it)
{
ids.add(item);
}
}
allRecommendableItemIDs.clear();
allRecommendableItemIDs.addAll(ids);
allRecommendableItemIDs.rehash();
}
private void buildDiffs()
{
if (buildAverageDiffsLock.TryEnterWriteLock(-1))
{
try
{
averageDiffs.clear();
allRecommendableItemIDs.clear();
//FileLineIterator iterator = new FileLineIterator(dataFile, false);
//String firstLine = iterator.peek();
//while (string.IsNullOrEmpty(firstLine) || firstLine[0] == COMMENT_CHAR)
//{
// iterator.next();
// firstLine = iterator.peek();
//}
StreamReader reader = new StreamReader(dataFile);
string firstLine = reader.ReadLine();
while ((firstLine == string.Empty) || (firstLine[0] == COMMENT_CHAR))
{
firstLine = reader.ReadLine();
}
long averageCount = 0L;
while (!reader.EndOfStream)
{
averageCount = processLine(reader.ReadLine(), averageCount);
}
reader.Close();
pruneInconsequentialDiffs();
updateAllRecommendableItems();
}
catch (IOException ioe)
{
log.warn("Exception while reloading", ioe);
}
finally
{
buildAverageDiffsLock.ExitWriteLock();
}
}
}
