def analyse(device):
Cluster.objects.filter(device=device).delete()
query = Location.objects.filter(device=device, sent_date_time__lt=datetime.now() - timedelta(hours=-1), accuracy__lt=THRESHOLD_ACCURACY, speed__lt=THRESHOLD_SPEED).order_by('sent_date_time')
locations = [location for location in query]
# Set each potential cluster with a starting point of itself
for location in locations:
location.points = [location]
location.end_date_time = location.sent_date_time
# Keep iterating through gradually decreasing number of points until there has been no change since the last iteration
locations, passone = merge_points(locations)
locations = [location for location in locations if (location.end_date_time - location.sent_date_time) > timedelta(seconds=THRESHOLD_MIN_TIME)]
locations = sorted(locations, key=lambda location: location.sent_date_time)
locations, passtwo = merge_points(locations)
for location in locations:
geocoder = geocoders.Google(secrets['GOOGLE'])
try:
cache = GeocodeCache.objects.get(location=location.location)
except GeocodeCache.DoesNotExist:
try:
place, point = geocoder.reverse((location.location[1], location.location[0]))
except IndexError:
place = "Unknown location"
else:
if place is not None:
GeocodeCache.objects.create(location=location.location,
name=place)
else:
place = cache.name
if place is None:
place = 'Unknown location'
c = Cluster(geocoded=place, device=device, location=location.location, speed=location.speed, altitude=location.altitude)
c.save()
c.locations = location.points
c.save()
return locations, passone, passtwo