def customer_get_restaurants(request):
restaurants = RestaurantSerializer(
Restaurant.objects.all().order_by("-id"),
many = True,
context = {"request": request}
).data
return JsonResponse({"restaurants": restaurants})
def customer_get_restaurants(request):
try:
restaurants = RestaurantSerializer(
Restaurant.objects.all().order_by("-id"),
many=True,
context={
"request": request
}).data
return JsonResponse({"restaurants": restaurants})
except AccessToken.DoesNotExist:
return JsonResponse({
"status": "falied",
"error": "access_token is wrong"
})
def get_open_restaurants_near_customer(request):
'''
Returns a list of 10 restaurants which are open and near the user
Latitude and longitude of the customer are required.
If the starting id of the restaurant is provided, results are filtered
on restaurants having id more than that of the provided id
:param request: http request
:return: list of restaurants, each entry a dict of the restaurant's attributes
'''
from haversine import haversine
latitude = float(request.GET.get('latitude'))
longitude = float(request.GET.get('longitude'))
starting_id = request.GET.get('starting_id')
batch_size = int(request.GET.get('batch_size', 10))
operating_distance = int(request.GET.get('distance', 5))
if starting_id:
restaurants = Restaurant.objects.filter(
id__gt=starting_id).order_by('id')
else:
restaurants = Restaurant.objects.all().order_by('id')
restaurants_within_distance = []
for restaurant in restaurants:
distance = None
if restaurant.latitude and restaurant.longitude:
distance = haversine((latitude, longitude),
(restaurant.latitude, restaurant.longitude))
if distance and distance <= operating_distance and restaurant.is_open(
):
restaurants_within_distance.append(restaurant)
if len(restaurants_within_distance) >= batch_size:
break
serialized_restaurants = RestaurantSerializer(restaurants_within_distance,
many=True,
context={
"request": request
}).data
return JsonResponse({"restaurants": serialized_restaurants})
