/*
* Example :
* If we have two attributes : price,model (facet type : range, categorical)
* and start,end and gap for price are 1,100 and 10. Then this function
* produces an empty vector for model (because it's categorical) and a vector with the following
* values for price:
* -large_value, 1, 11, 21, 31, 41, ..., 91, 101
*/
void RangeFacetHelper::generateListOfIdsAndNames(std::vector<std::pair<unsigned, std::string> > * idsAndNames){
if(generateListOfIdsAndNamesFlag == true || idsAndNames == NULL){
ASSERT(false);
return;
}
TypedValue lowerBoundToAdd = start;
std::vector<TypedValue> lowerBounds;
// Example : start : 1, gap : 10 , end : 100
// first -large_value is added as the first category
// then 1, 11, 21, ...and 91 are added in the loop.
// and 101 is added after loop.
lowerBounds.push_back(lowerBoundToAdd.minimumValue()); // to collect data smaller than start
while (lowerBoundToAdd < end) {
lowerBounds.push_back(lowerBoundToAdd); // data of normal categories
lowerBoundToAdd = lowerBoundToAdd + gap;
}
lowerBounds.push_back(end); // to collect data greater than end
// now set the number of buckets
numberOfBuckets = lowerBounds.size();
// now fill the output
for(int lowerBoundsIndex = 0; lowerBoundsIndex < lowerBounds.size() ; lowerBoundsIndex++){
string bucketName = lowerBounds.at(lowerBoundsIndex).toString();
/*
* If the type of this facet attribute is time, we should translate the number of
* seconds from Jan 1st 1970 (aka "epoch") to a human readable representation of time.
* For example, if this value is 1381271294, the name of this bucket is 10/8/2013 3:28:14.
*/
if(attributeType == ATTRIBUTE_TYPE_TIME){
long timeValue = lowerBounds.at(lowerBoundsIndex).getTimeTypedValue();
bucketName = DateAndTimeHandler::convertSecondsFromEpochToDateTimeString(&timeValue);
}
idsAndNames->push_back(std::make_pair(lowerBoundsIndex , bucketName));
}
// And set the flag to make sure this function is called only once.
generateListOfIdsAndNamesFlag = false;
}
