def iterator(self):
result_iter = super(GeoQuerySet, self).iterator()
if not self._postprocess:
return result_iter
field_name = self._postprocess['field_name']
location = self._postprocess['location']
radius = self._postprocess['radius']
distance_property_name = "%s_distance" % field_name
results = []
for result in list(result_iter):
result_location = getattr(result, field_name)
distance_from_location = result_location.point.distance_from(
convert_to_point(location))
setattr(result, distance_property_name, distance_from_location)
if distance_from_location < radius:
results.append(result)
if self._postprocess.get('sort'):
return iter(
sorted(results,
key=lambda item: getattr(item, distance_property_name)))
return iter(results)
def iterator(self):
result_iter = super(GeoQuerySet, self).iterator()
if not self._postprocess:
return result_iter
field_name = self._postprocess.get('field_name')
location = self._postprocess.get('location')
radius = self._postprocess.get('radius')
distance_property_name = "%s_distance" % field_name
results = []
for result in list(result_iter):
result_location = self.__collapse_relations__(result, field_name)
distance_from_location = result_location.point.distance_from(
convert_to_point(location))
setattr(result, distance_property_name, distance_from_location.km)
# was giving an unorderable types error comparing distance_from_location with radius. Not sure why. Works if converted to km
if not radius or distance_from_location.km < radius.km:
results.append(result)
if self._postprocess.get('sort'):
return iter(
sorted(results,
key=lambda item: getattr(item, distance_property_name)))
return iter(results)
def _create_approx_distance_filter(self, field_name, location, radius):
geohash_length = geohash_length_for_error(radius.kilometers)
geohash = convert_to_point(location).geohash.trim(geohash_length)
expanded = geohash.expand()
filters = models.Q()
for item in expanded:
filters.add(models.Q(**{"%s__startswith" % field_name: item}), models.Q.OR)
return filters
def _create_approx_distance_filter(self, field_name, location, radius):
geohash_length = geohash_length_for_error(radius.kilometers)
geohash = convert_to_point(location).geohash.trim(geohash_length)
expanded = geohash.expand()
filters = models.Q()
for item in expanded:
filters.add(models.Q(**{"%s__startswith" % field_name: item}),
models.Q.OR)
return filters
def test_object_with_short_properties(self):
class Dummy(object):
pass
location = Dummy()
location.lat = LAT
location.lon = LON
point = convert_to_point(location)
self.assertEqual(point.latitude, LAT)
self.assertEqual(point.longitude, LON)
def test_object_with_short_properties(self):
class Dummy(object):
pass
location = Dummy()
location.lat = LAT
location.lon = LON
point = convert_to_point(location)
self.assertEqual(point.latitude, LAT)
self.assertEqual(point.longitude, LON)
def iterator(self):
result_iter = super(GeoQuerySet, self).iterator()
if not self._postprocess:
return result_iter
field_name = self._postprocess['field_name']
location = self._postprocess['location']
radius = self._postprocess['radius']
distance_property_name = "%s_distance" % field_name
results = []
for result in list(result_iter):
result_location = getattr(result, field_name)
distance_from_location = result_location.point.distance_from(convert_to_point(location))
setattr(result, distance_property_name, distance_from_location)
if distance_from_location.kilometers < radius.kilometers:
results.append(result)
if self._postprocess.get('sort'):
return iter(sorted(results, key=lambda item: getattr(item, distance_property_name).kilometers))
return iter(results)
def iterator(self):
result_iter = super(GeoQuerySet, self).iterator()
if not self._postprocess:
return result_iter
field_name = self._postprocess["field_name"]
location = self._postprocess["location"]
radius = self._postprocess["radius"]
distance_property_name = "%s_distance" % field_name
results = []
for result in list(result_iter):
result_location = getattr(result, field_name)
distance_from_location = result_location.point.distance_from(convert_to_point(location))
setattr(result, distance_property_name, distance_from_location)
if distance_from_location < radius:
results.append(result)
if self._postprocess.get("sort"):
return iter(sorted(results, key=lambda item: getattr(item, distance_property_name)))
return iter(results)
def iterator(self):
result_iter = super(GeoQuerySet, self).iterator()
if not self._postprocess:
return result_iter
field_name = self._postprocess.get('field_name')
location = self._postprocess.get('location')
radius = self._postprocess.get('radius')
distance_property_name = "%s_distance" % field_name
results = []
for result in list(result_iter):
result_location = self.__collapse_relations__(result, field_name)
distance_from_location = result_location.point.distance_from(convert_to_point(location))
setattr(result, distance_property_name, distance_from_location)
if not radius or distance_from_location < radius:
results.append(result)
if self._postprocess.get('sort'):
return iter(sorted(results, key=lambda item: getattr(item, distance_property_name)))
return iter(results)
def iterator(self):
result_iter = super(GeoQuerySet, self).iterator()
if not self._postprocess:
return result_iter
field_name = self._postprocess.get('field_name')
location = self._postprocess.get('location')
radius = self._postprocess.get('radius')
distance_property_name = "%s_distance" % field_name
results = []
for result in list(result_iter):
result_location = self.__collapse_relations__(result, field_name)
distance_from_location = result_location.point.distance_from(convert_to_point(location))
setattr(result, distance_property_name, distance_from_location.km)
# was giving an unorderable types error comparing distance_from_location with radius. Not sure why. Works if converted to km
if not radius or distance_from_location.km < radius.km:
results.append(result)
if self._postprocess.get('sort'):
return iter(sorted(results, key=lambda item: getattr(item, distance_property_name)))
return iter(results)
def to_python(self, value):
if not value:
return None
if isinstance(value, str):
return Geohash(value)
return convert_to_point(value).geohash
def test_dict_with_short_keys(self):
location = {'lat': LAT, 'lon': LON}
point = convert_to_point(location)
self.assertEqual(point.latitude, LAT)
self.assertEqual(point.longitude, LON)
def test_tuple(self):
point = convert_to_point((LAT, LON))
self.assertEqual(point.latitude, LAT)
self.assertEqual(point.longitude, LON)
def to_python(self, value):
if not value:
return None
if isinstance(value, basestring):
return Geohash(value)
return convert_to_point(value).geohash
def test_dict_with_short_keys(self):
location = {'lat': LAT, 'lon': LON}
point = convert_to_point(location)
self.assertEqual(point.latitude, LAT)
self.assertEqual(point.longitude, LON)
def test_tuple(self):
point = convert_to_point((LAT, LON))
self.assertEqual(point.latitude, LAT)
self.assertEqual(point.longitude, LON)
