def writeLocationToUserMap(place):
name, boundary = place['name'], place['boundary']
GeneralMethods.runCommand('rm -rf %s'%placesLocationToUserMapFile%name)
for location in filteredLocationToUserAndTimeMapIterator(minLocationsTheUserHasCheckedin, minUniqueUsersCheckedInTheLocation, inputFile=locationToUserAndExactTimeMapFile):
lid=getLocationFromLid(location['location'])
if isWithinBoundingBox(lid, boundary):
location['categories'] = ''; location['tags'] = ''; location['name']=''
title = venuesCollection.find_one({'lid':location['location']})
if title: location['name'] = unicode(title['n']).encode("utf-8")
meta = venuesMetaDataCollection.find_one({'_id':location['location']})
if meta: location['categories'] = unicode(meta['c']).encode("utf-8"); location['tags'] = unicode(meta['t']).encode("utf-8")
for user in location['users'].keys()[:]: location['users'][str(user)]=location['users'][user]; del location['users'][user]
location['noOfCheckins']=sum([len(epochs) for user, userVector in location['users'].iteritems() for day, dayVector in userVector.iteritems() for db, epochs in dayVector.iteritems()])
if location['noOfCheckins']>place.get('minLocationCheckins',0): FileIO.writeToFileAsJson(location, placesLocationToUserMapFile%name)
def locationClusterIterator():
for location in filter(lambda l: l['location'] in locationsInUS, filteredLocationToUserAndTimeMapIterator(minLocationsTheUserHasCheckedin, minUniqueUsersCheckedInTheLocation)): yield location
