def __mergeCloseOnes(user_id):
places_mapping=places.placesMap(user_id)
clusters=Clusters.objects.filter(device_id=user_id)
while(__merge_Once(clusters,places_mapping)):
clusters=Clusters.objects.filter(device_id=user_id)
return
def SmartClusterData(user_id,time_start,time_end):
"""
Cluster localization data using additional techniques for improving performace
"""
locations_list =GetStaticLocations(user_id, time_start, time_end)
location_data=[]
for loc in locations_list:
location_data.append([float(loc.double_latitude),float(loc.double_longitude)])
__doClusters(user_id, location_data)
__mergeCloseOnes(user_id)
places_mapping=places.placesMap(user_id)
places_mapping.doMapping(time_start, time_end)
__removeVisitedOnce(user_id)
places_mapping=places.placesMap(user_id)
#places_mapping.doMapping(None, None)
places_mapping.doMapping(time_start, time_end)
def printLocations(request, user_id, time_start, time_end):
placesToUser(user_id, time_start, time_end)
places_base = places.placesMap(user_id)
[places_list, success_rate] = places_base.GetUserPlaces(time_start, time_end, predictor)
print "predicted correctly in " + str(100 * success_rate) + "% cases"
context = {"placesMap": places_list}
return render(request, "polls/placesPrint.html", context)
def placesToUser(user_id, time_start, time_end):
places_base = places.placesMap(user_id)
places_base.doMapping(time_start, time_end)
