def post(self, request):
api_json = {}
latitude = self.request.data.get('latitude')
longitude = self.request.data.get('longitude')
distance = self.request.data.get('distance')
if latitude and longitude:
location = GEOSGeometry('POINT({} {})'.format(longitude, latitude),
srid=4326)
open_space = OpenSpace.objects \
.filter(polygons__distance_lte=(location, D(km=distance))) \
.annotate(distance=Distance('polygons', location)) \
.order_by('distance')
resource_json = OpenSpaceAttributeSerializer(open_space, many=True)
json = JSONRenderer().render(resource_json.data)
stream = io.BytesIO(json)
data = JSONParser().parse(stream)
api_json['open_space'] = data
return Response(api_json)
def get_queryset(self):
queryset = Clinic.objects.all()
# basic filter options
lat = self.request.query_params.get('lat', None)
lon = self.request.query_params.get('lon', None)
categories = self.request.query_params.getlist('categories', None)
if lat and lon:
try:
pt = Point(float(lon), float(lat))
except:
return Response("Bad point data", status.HTTP_400_BAD_REQUEST)
queryset = Clinic.objects.distance(pt).order_by('distance')
queryset.annotate(distance=Distance('location', pt))
if categories:
queryset = queryset.filter(clean_categories__contains=categories)
return queryset
def get(self, request):
api_json = {}
count = int(self.request.query_params.get('count'))
distance = self.request.query_params.get('distance')
latitude = self.request.query_params.get('latitude')
longitude = self.request.query_params.get('longitude')
user_location = GEOSGeometry('POINT({} {})'.format(
longitude, latitude),
srid=4326)
resource_queryset = OpenSpace.objects \
.filter(polygons__distance_lte=(user_location, D(km=distance))) \
.annotate(distance=Distance('polygons', user_location)) \
.order_by('distance')[0:count]
resource_json = OpenSpaceAttributeSerializer(resource_queryset,
many=True)
json = JSONRenderer().render(resource_json.data)
stream = io.BytesIO(json)
data = JSONParser().parse(stream)
api_json['open_space'] = data
return Response(api_json)
def _get_publicbody(self, amenity):
same_name_pbs = self._get_same_name_pbs(amenity)
if same_name_pbs and same_name_pbs.count() == 1:
return same_name_pbs.first()
nearby_pbs = self._get_nearby_publicbodies(amenity).annotate(
distance=Distance("geo", amenity.geo)).order_by(
"-number_of_requests", "distance")
if nearby_pbs:
by_name = nearby_pbs.filter(name=amenity.name)
if by_name:
return by_name.first()
if self.kwargs.get('category'):
by_cat = nearby_pbs.filter(
categories__name=self.kwargs['category'])
if by_cat:
return by_cat.first()
return nearby_pbs.first()
return super()._get_publicbody(amenity)
def test_distance_geodetic(self):
"""
Test the `Distance` function on geodetic coordinate systems.
"""
# Testing geodetic distance calculation with a non-point geometry
# (a LineString of Wollongong and Shellharbour coords).
ls = LineString(((150.902, -34.4245), (150.87, -34.5789)), srid=4326)
# Reference query:
# SELECT ST_distance_sphere(point, ST_GeomFromText('LINESTRING(150.9020 -34.4245,150.8700 -34.5789)', 4326))
# FROM distapp_australiacity ORDER BY name;
distances = [
1120954.92533513, 140575.720018241, 640396.662906304,
60580.9693849269, 972807.955955075, 568451.8357838,
40435.4335201384, 0, 68272.3896586844, 12375.0643697706, 0
]
qs = AustraliaCity.objects.annotate(
distance=Distance('point', ls)).order_by('name')
for city, distance in zip(qs, distances):
# Testing equivalence to within a meter.
self.assertAlmostEqual(distance, city.distance.m, 0)
def place_detail(request):
place_id = request.GET.get('place_id')
if not place_id:
return JsonResponse({'error': 'missing place ID'})
try:
place = Place.objects.get(place_id=place_id)
except Place.DoesNotExist:
return JsonResponse({'error': 'can\'t find place with that ID'})
nearby = []
if place.geom:
nearby = Place.objects.filter(
Q(geom__distance_lt=(place.geom, D(m=2500)))
& (Q(gift_card_url__isnull=False) | Q(email_contact__isnull=False))
).exclude(place_id=place_id).annotate(
distance=Distance('geom', place.geom)).order_by('distance')[0:9]
return JsonResponse({
'place': place.to_json(),
'suggestedPlaces': [x.to_json() for x in nearby]
})
def get_nearby_hospital(lng,
lat,
*,
database='tainan',
limit=3,
distance=5,
exclude_fields=None):
if not exclude_fields:
exclude_fields = ['hospital_id', 'location', 'objects']
point = Point(to_float(lng), to_float(lat), srid=4326)
hospital_set = (Hospital.objects.using(database).annotate(
distance=Distance('location', point)).filter(
location__distance_lte=(point,
D(km=5))).order_by('distance')[:limit])
response_data = [
model_to_dict(hospital, exclude=exclude_fields)
for hospital in hospital_set
]
return response_data
def get_context_data(self, **kwargs):
count = int(self.request.GET.get("count", DEFAULT_COUNT))
lat = float(self.request.GET.get("lat", DEFAULT_LAT))
lon = float(self.request.GET.get("lon", DEFAULT_LON))
user_location = Point(lon, lat, srid=4326)
print(count, lat, lon)
context = super(ShopListAPIView, self).get_context_data(**kwargs)
context['shops'] = Shop.objects \
.annotate(distance=Distance('location', user_location)) \
.order_by('distance')[0:count]
context['query'] = {
'lat': lat,
'lon': lon,
'count': count
}
return context
def post(self, request, format=None):
agents = Delivery_Agent.objects.all().filter(on_delivery=False)
node = Point(float(request.POST['x']),
float(request.POST['y']),
srid=4326)
location_list = list()
agent_list = list()
selected_agent = Delivery_Agent.objects.annotate(
distance=Distance('location', node)).order_by('distance').first()
selected_agent.on_delivery = True
selected_agent.save()
delivery = Delivery()
delivery.customer = Customer.objects.get(user=request.user)
delivery.delivery_agent = selected_agent
delivery.pickup_location = node
delivery.location = selected_agent.location
delivery.start_time = datetime.datetime.now()
delivery.total_distance = selected_agent.location.distance(node) * 100
delivery.save()
content = {'agent': selected_agent.user.username}
return Response(content)
def get_queryset(self):
qs = Establecimiento.objects.all()
sector_param = self.request.GET.get('sector', '')
banco_sangre = self.request.GET.get('banco_sangre', '')
qs = establecimientos_sector(qs, sector_param)
try:
lon = float(self.request.query_params.get('lon'))
lat = float(self.request.query_params.get('lat'))
distance = float(self.request.query_params.get('distancia', 5))
point = Point(lon, lat, srid=4326)
filtro = {
'location__distance_lte': (point, D(km=distance)),
}
if banco_sangre:
filtro.update({'es_banco_sangre': True})
qs = qs.annotate(distancia=Distance('location', point)).filter(
**filtro).order_by('distancia')
except (ValueError, TypeError) as ex:
print(ex)
return []
return qs
def get(self, request: Request):
try:
longitude = float(request.query_params.get('long'))
latitude = float(request.query_params.get('lat'))
radius = float(request.query_params.get('r', default=1000))
except TypeError as e:
return Response(data={'error': 'Provide valid long and lat.'},
status=status.HTTP_400_BAD_REQUEST)
print(f'Long={longitude}, Lat={latitude}')
current_coordinate = Point(longitude, latitude, srid=4326)
stations = StationV2.objects.filter(
coordinate__dwithin=(current_coordinate, D(m=radius))).annotate(
distance=Distance('coordinate', current_coordinate)).order_by(
'distance')
# stations = StationV2.objects.all().annotate(
# distance=Distance('coordinate', current_coordinate)
# ).order_by('distance')
serializer = StationV2Serializer(instance=stations, many=True)
return Response(data=serializer.data)
def handle(self, segment, limit=SUGGEST_LIMIT_METERS, *args, **options):
if segment:
person_queryset = segment.get_subscribers_queryset()
else:
person_queryset = Person.objects.all()
person_queryset = (
person_queryset.exclude(coordinates=None).filter(
role__is_active=True,
role__last_login__gt=timezone.now() -
timezone.timedelta(days=60),
) # seulement les gens s'étant déjà connectés dans les 2 derniers mois
.exclude(
activities__in=Activity.objects.filter(
type=Activity.TYPE_EVENT_SUGGESTION,
created__gt=timezone.now() - timezone.timedelta(hours=18),
)
) # exclure les personnes ayant déjà reçu une suggestion aujourd'hui
)
pbar = tqdm(total=person_queryset.count())
for person in person_queryset.iterator():
base_queryset = (Event.objects.with_serializer_prefetch(
person).listed().upcoming().exclude(coordinates=None))
near_event = (base_queryset.annotate(
distance=Distance("coordinates", person.coordinates)).filter(
distance__lte=limit).filter(
start_time__lt=timezone.now() +
timezone.timedelta(days=7)).exclude(attendees=person).
distinct().order_by("distance").first())
if near_event is not None:
new_event_suggestion_notification(near_event, person)
# Avoid sending event suggestions via email until stricter rules are defined
# send_event_suggestion_email.delay(near_event.pk, person.pk)
pbar.update()
pbar.close()
def get_queryset(self):
latitude = self.request.query_params.get('lat', None)
longitude = self.request.query_params.get('lng', None)
sort = self.request.query_params.get('sort', None)
if latitude and longitude:
# qs = super().get_queryset()
pnt = GEOSGeometry('POINT(' + str(longitude) + ' ' +
str(latitude) + ')',
srid=4326)
new_query = Job.objects.filter(mover_profile=None).annotate(
distance=Distance('point_a', pnt)).filter(complete=False)\
.exclude(conflict=True)
if sort == "price-low":
return new_query.order_by('distance', 'price')
elif sort == "price-high":
return new_query.order_by('distance', '-price')
elif sort == "dist-low":
return new_query.order_by('distance', 'trip_distance')
elif sort == "dist-high":
return new_query.order_by('distance', '-trip_distance')
else:
return new_query.order_by('distance')
else:
without_location = Job.objects.filter(mover_profile=None).filter(
complete=False).exclude(conflict=True)
sort = self.request.GET.get('sort', '')
if sort == "price-low":
return without_location.order_by('price')
elif sort == "price-high":
return without_location.order_by('-price')
elif sort == "dist-low":
return without_location.order_by('trip_distance')
elif sort == "dist-high":
return without_location.order_by('-trip_distance')
else:
return without_location.order_by('-created_at')
def nearestLamps(request):
lat = request.query_params.get('lat')
long = request.query_params.get('long')
point = Point(
float(long), float(lat),
srid=4326) # we need to use the 4325 srid in order to create the point
querysets = Lamp.objects.annotate(
distance=Distance('coord_X_Y', point)).order_by('distance').values(
'id', 'name', 'station', 'distance')[0:3]
data = []
for queryset in querysets:
data.append({
"id":
queryset['id'],
"name":
queryset['name'],
"station":
queryset['station'],
'distance':
transformDistanceValueToFloat(queryset['distance'])
})
return Response(json.dumps(data), status=200)
def device_report_api(req):
report_pincode = req.POST.get('pincode')
if report_pincode is not None:
report_pincode=Pincode.objects.filter(pincode=report_pincode).first()
report_location = Point(x=report_pincode.located_at.x, y=report_pincode.located_at.y, srid=4326)
suspected_disease = Disease.objects.get(disease_name=req.POST.get("disease_name"))
closest_hospital = Hospital.objects.annotate(distance=Distance('located_at', report_location)).order_by('distance').first()
report_source = closest_hospital.user
public_report = Report(
source=report_source,
disease=suspected_disease,
death=False,
pincode=report_pincode,
report_info=req.POST.get('report_info'),
reported_at=report_location,
verified=False
)
public_report.save()
return HttpResponse(status=200)
return HttpResponse(status=500)
def get_queryset(self):
result = super(ServiceProviderListView, self).get_queryset()
sesh = self.request.session
user_geolocation = geolocator.geocode(sesh['address'] + ' ' +
sesh['city'] + ' ' +
sesh['state'] + ' ' +
sesh['zip'])
user_location = Point(user_geolocation.longitude,
user_geolocation.latitude,
srid=4326)
if sesh['sort_distance'] == 'Any':
miles = 1000
else:
miles = sesh['sort_distance']
#result = ServiceProvider.objects.annotate(distance=Distance("address__location", user_location)).order_by("distance")
result = ServiceProvider.objects.filter(
address__location__distance_lte=(user_location, D(
mi=miles))).annotate(distance=Distance(
"address__location", user_location)).order_by("distance")
#result = ServiceProvider.objects.filter(location__distance_lte=(user_location, D(50000))).annotate(distance=Distance("address__location", user_location)).order_by("distance")
return result
def nearest(request, srid, x, y, format='json'):
location = Point(float(x), float(y), srid=int(srid))
set_timeout(format)
try:
# Transform to database SRID for comparison (GeometryCentroidDistance does not yet do this)
location.transform(4326)
except:
raise ViewException(format, _('Point outside the area geometry'), 400)
try:
# Ordering will be in 'degrees', so fetch a few and sort by actual distance
postcodes = Postcode.objects.annotate(
centroid_distance=GeometryCentroidDistance('location', location)
).annotate(
distance=Distance('location', location)
).order_by('centroid_distance')[:100]
postcodes = sorted(postcodes, key=attrgetter('distance'))
postcode = postcodes[0]
except DatabaseError as e:
if 'Cannot find SRID' in e.args[0]:
raise ViewException(format, e.args[0], 400)
if 'canceling statement due to statement timeout' not in e.args[0]:
raise
raise ViewException(format, 'That query was taking too long to compute.', 500)
except:
raise ViewException(format, 'No postcode found near %s,%s (%s)' % (x, y, srid), 404)
if format == 'html':
return render(request, 'mapit/postcode.html', {
'postcode': postcode.as_dict(),
'json_view': 'mapit-postcode',
})
pc = postcode.as_dict()
pc['distance'] = round(postcode.distance.m)
return output_json({
'postcode': pc,
})
def get_queryset(self):
"""
Handles a get request of spots
Params: lat, lng, radius**
Returns: All spots within given radius of search point.
"""
radius = self.request.GET.get('radius')
lat = self.request.GET.get('lat')
lng = self.request.GET.get('lng')
if not radius:
radius = 5
if lat and lng:
lattitude = float(lat)
longitude = float(lng)
search_point = Point(longitude, lattitude)
queryset = Spot.objects.filter(
location__distance_lte=(search_point, D(
mi=radius))).annotate(distance=Distance(
'location', search_point)).order_by('distance')
else:
queryset = []
return queryset
def form_valid(self, form):
# Get Data
latitude = form.cleaned_data['latitude']
longitude = form.cleaned_data['longitude']
# get today's & next week's date
now = timezone.now()
next_week = now + timezone.timedelta(weeks=1)
# get location
location = Point(longitude, latitude, srid=4326)
# Lookup Events
events = Event.objects.filter(datetime__gte=now)\
.filter(datetime__lte=next_week)\
.annotate(distance=Distance('venue__location', location))\
.order_by('distance')[0:5]
# Render the template
return render(self.request,
'gigs/lookup_results.html',
context={'events': events})
def marketer_list(request):
get_copy = request.GET.copy()
parameters = get_copy.pop("page", True) and get_copy.urlencode()
filters = request.GET
marketer_query = PimpUser.objects.filter(usertype=PimpUser.MARKETER, is_active=True)
marketer_list = MarketerFilter(
filters, queryset=marketer_query.order_by("-date_joined")
)
if request.user.is_authenticated and request.user.is_geolocated:
marketer_list_with_distance = MarketerFilter(
filters,
queryset=marketer_query.annotate(
distance=Distance("location", request.user.location)
).order_by("-date_joined", "distance"),
)
marketer_list = marketer_list_with_distance
# Pagination
page = request.GET.get("page")
paginator = Paginator(marketer_list.qs, 12)
try:
marketer_list_paginated = paginator.page(page)
except PageNotAnInteger:
marketer_list_paginated = paginator.page(1)
except EmptyPage:
marketer_list_paginated = paginator.page(paginator.num_pages)
context = {
"marketer_list": marketer_list_paginated,
"marketer_filters": marketer_list,
"parameters": parameters,
}
return render(request, "search/search_marketer.html", context)
def view(request, viaje_pk):
viaje = get_object_or_404(Viaje, pk=viaje_pk)
if viaje.usuario.pk != request.user.usuario.pk:
raise Http404("No existe ese viaje.")
if request.method == 'POST':
form = RegistroDireccionesForm(request.POST)
error = ""
if form.is_valid():
direccion = form.cleaned_data['direccion']
longitud = form.cleaned_data['longitud']
latitud = form.cleaned_data['latitud']
punto = Point(longitud, latitud)
bahias = Bahia.objects.filter(
coordenadas__dwithin=(punto, 100000)).annotate(
distance=Distance('coordenadas', punto)).order_by(
'distance')
if bahias.count() > 0:
bahia = bahias[0]
destino = Destino.objects.create(direccion=direccion,
coordenadas=punto,
bahia=bahia,
area=bahia.area_set.all()[0],
viaje=viaje)
destino.save()
else:
error = "No hay ninguna bahía cercana al destino"
direcciones = viaje.destino_set.all()
return render(request, 'registrar_direcciones.html', {
'form': form,
'direcciones': direcciones,
'error': error
})
elif request.method == 'GET':
form = RegistroDireccionesForm()
direcciones = viaje.destino_set.all()
return render(request, 'registrar_direcciones.html', {
'form': form,
'direcciones': direcciones
})
def tzNameAt(self, latitude, longitude, forceTZ=False):
'''
Lookup the timezone name for a given latitude and longitude.
@latitude: latitude
@longitude: longitude
@forceTZ: If forceTZ is true and you can't find a valid timezone return
the closest timezone you can find instead.
'''
point = Point(longitude, latitude, srid=4326)
zones = Timezone.objects.filter(polygon__contains=point)
if len(zones):
return zones[0].name
elif forceTZ:
# Return timezone with nearest polygon
# Limit search to within 2 degrees, otherwise the query takes too long (DWithin makes use of index)
matches = Timezone.objects\
.filter(polygon__dwithin=(point, 2))\
.annotate(distance=Distance('polygon', point))\
.order_by('distance')
if len(matches):
return matches[0].name
return None
def form_valid(self, form):
# Get data
latitude = form.cleaned_data['latitude']
longitude = form.cleaned_data['longitude']
# Get today's date
now = timezone.now()
# Get next week's date
next_week = now + timezone.timedelta(weeks=1)
# Get Point
location = Point(longitude, latitude, srid=4326)
# Look up events
events = Event.objects.filter(datetime__gte=now).filter(
datetime__lte=next_week).annotate(distance=Distance(
'venue__location', location)).order_by('distance')[0:5]
# Render the template
return render_to_response('gigs/lookupresults.html',
{'events': events})
def geo_intersects(self, geom):
point_filter = Q(geom_point__isnull=False) & Q(
geom_point__intersects=geom)
line_filter = Q(geom_linestring__isnull=False) & Q(
geom_linestring__intersects=geom)
polygon_filter = Q(geom_polygon__isnull=False) & Q(
geom_polygon__intersects=geom)
return self.filter(
Q(point_filter) | Q(line_filter)
| Q(polygon_filter)).annotate(distance=Distance(
geom,
Case(
When(geom_linestring__isnull=True,
geom_polygon__isnull=True,
then='geom_point'),
When(geom_point__isnull=True,
geom_polygon__isnull=True,
then=PointOnSurface('geom_linestring')),
When(geom_point__isnull=True,
geom_linestring__isnull=True,
then=PointOnSurface('geom_polygon'))))).order_by(
'distance')
def myTrainings(request):
# get all user trainings
athlete = Athlete.objects.get(user=request.user)
myTrainings = athlete.trainings.all()
myTrainings = filterPastDates(myTrainings, "all")
user_location_point = createUserLocationPoint(locationString)
mapFolium = createMapWithUserLocationMark(user_location_point)
#add marker to locations
[training.putOnMap(mapFolium) for training in myTrainings]
mapFolium = mapFolium._repr_html_()
# order by distance to user
distanceSet = myTrainings.annotate(distance=Distance(
'location', user_location_point)).order_by('distance').values(
'id', 'adress', 'sport', 'date', 'distance')
return render(request, "trainings/myTrainings.html", {
"distanceSet": distanceSet,
"map": mapFolium,
})
def form_valid(self, form):
# Get data
latitude = form.cleaned_data['latitude']
longitude = form.cleaned_data['longitude']
# Get today's date
now = timezone.now()
# Get next week's date
next_week = now + timezone.timedelta(weeks=1)
# Get Point
location = Point(longitude, latitude, srid=4326)
# Look up topics
topics = Topic.objects.filter(datetime__gte=now).filter(
datetime__lte=next_week).annotate(distance=Distance(
'suburb__location', location)).order_by('distance')[0:5]
# Render the template
return render_to_response('burbnews/topic_list.html',
{'topics': topics})
def get_queryset(self):
zipcode_string = self.request.query_params.get('zipcode', None)
if zipcode_string is None:
raise serializers.ValidationError('A zipcode must be provided.')
try:
zipcode = int(zipcode_string)
except ValueError as value_error:
raise serializers.ValidationError(
f'Zipcode is in an invalid format and could not be parsed: {value_error}'
)
reporting_area_location = AirNowReportingAreaZipCode.objects.filter(
zipcode=zipcode).first()
if reporting_area_location is None:
# no exact match, we'll look for the nearest reporting area to the zip code centroid.
country = pgeocode.Nominatim('us')
locale = country.query_postal_code(zipcode)
longitude = locale['longitude']
latitude = locale['latitude']
if not isinstance(locale,
Series) or isnull(longitude) or isnull(latitude):
raise NotFound(f'No location found for {zipcode}.')
zipcode_center = Point(longitude, latitude, srid=4236)
reporting_area = AirNowReportingArea.objects.annotate(
distance=Distance('location', zipcode_center)).order_by(
'distance').first()
else:
reporting_area = AirNowReportingArea.objects.filter(
name=reporting_area_location.city,
state_code=reporting_area_location.state).first()
return AirNowObservation.objects.filter(reporting_area=reporting_area)
def geo_distance(self, latlon, radius):
geom = Point(latlon[1], latlon[0])
point_filter = Q(geom_point__isnull=False) & Q(
geom_point__distance_lte=(geom, D(m=radius)))
line_filter = Q(geom_linestring__isnull=False) & Q(
geom_linestring__distance_lte=(geom, D(m=radius)))
polygon_filter = Q(geom_polygon__isnull=False) & Q(
geom_polygon__bbcontains=geom) & Q(geom_polygon__contains=geom)
return self.filter(
Q(point_filter) | Q(line_filter)
| Q(polygon_filter)).annotate(distance=Distance(
geom,
Case(
When(geom_linestring__isnull=True,
geom_polygon__isnull=True,
then='geom_point'),
When(geom_point__isnull=True,
geom_polygon__isnull=True,
then=PointOnSurface('geom_linestring')),
When(geom_point__isnull=True,
geom_linestring__isnull=True,
then=PointOnSurface('geom_polygon'))))).order_by(
'distance')
def get(self, request, *args, **kwargs):
postcode = request.query_params.get('postcode')
range_distance = request.query_params.get('range_distance')
if postcode and range_distance:
# Normalise postcode first
postcode = postcode.replace(' ', '').upper()
try:
codepoint = CodePoint.objects.get(postcode=postcode)
except CodePoint.DoesNotExist as ex:
return Response(
'The given postcode is not available in CodePoints',
status=status.HTTP_400_BAD_REQUEST)
locations = Location.objects.filter(
geom__dwithin=(codepoint.point, D(m=range_distance))).\
annotate(distance=Distance('geom', codepoint.point))
serializer = LocationSerializer(locations, many=True)
return Response(serializer.data, status=status.HTTP_200_OK)
else:
return Response('The postcode parameter is missing',
status=status.HTTP_400_BAD_REQUEST)
def fetch_users(self, request):
user_1_reference_id = request.user.reference_id
last_user_location = UserLocation.objects.filter(users__reference_id=user_1_reference_id).order_by('-created_at')[0]["location"]
queryset = UserLocation.objects.order_by('-created_at').distinct()
queryset = queryset.exclude(users__reference_id=user_1_reference_id)
user_1_preferred = User.objects.get(reference_id=user_1_reference_id).looking_for
## Filter out people based on user's preference.
if user_1_preferred is "MF" or "FM":
pass
else:
queryset = queryset.filter(users__gender=user_1_preferred)
queryset = queryset.annotate(distance=Distance('location', last_user_location)).order_by('distance')[0:100]
final_list = []
context = {}
for item in queryset:
context['id'] = item['id']
context['reference_id'] = item['reference_id']
context['user_id'] = item['users__reference_id']
context['distance'] = item['distance']
final_list.append(context)
context = {}
return Response(final_list, status=200)
