def home(request, *args, **kwards):
context = {}
near_distance = int(request.GET.get("distance", DEFAULT_NEAR_DISTANCE))
context["distance"] = near_distance
context["name"] = request.GET.get("name", "")
context["geoip_lookup"] = False
context["city_search"] = False
city = None
ll = None
if "city" in request.GET and request.GET.get("city"):
try:
city_id = int(request.GET.get("city"))
city = City.objects.get(id=city_id)
context["city"] = city
ll = [city.latitude, city.longitude]
ga.add_event(request,
"homepage_search",
category="search",
label=city.short_name)
context["city_search"] = True
except:
messages.add_message(
request,
messages.ERROR,
message=_("Could not locate the City you requested."),
)
context["city_search"] = False
if context["city_search"] == False:
try:
g = location.get_geoip(request)
if (g.latlng is not None and len(g.latlng) >= 2
and g.latlng[0] is not None and g.latlng[1] is not None):
ll = g.latlng
context["geoip_lookup"] = True
try:
city_distance = 1 # km
while city is None and city_distance < 100:
minlat = ll[0] - (city_distance / KM_PER_DEGREE_LAT)
maxlat = ll[0] + (city_distance / KM_PER_DEGREE_LAT)
minlng = ll[1] - (city_distance /
(KM_PER_DEGREE_LNG *
math.cos(math.radians(ll[0]))))
maxlng = ll[1] + (city_distance /
(KM_PER_DEGREE_LNG *
math.cos(math.radians(ll[0]))))
nearby_cities = City.objects.filter(
latitude__gte=minlat,
latitude__lte=maxlat,
longitude__gte=minlng,
longitude__lte=maxlng,
)
if len(nearby_cities) == 0:
city_distance += 1
else:
city = sorted(
nearby_cities,
key=lambda city: location.city_distance_from(
ll, city),
)[0]
if (request.user.is_authenticated
and request.user.profile.city is None):
profile = request.user.profile
profile.city = city
profile.save()
except Exception as err:
print("City lookup failed", err)
raise Exception("City lookup filed")
else:
raise Exception("Geocoder result has no latlng")
except Exception as err:
context["geoip_lookup"] = False
print(
"Geocoder lookup failed for %s" %
request.META.get("REMOTE_ADDR"), err)
if ll is not None:
context["latitude"] = ll[0]
context["longitude"] = ll[1]
try:
minlat = ll[0] - (near_distance / KM_PER_DEGREE_LAT)
maxlat = ll[0] + (near_distance / KM_PER_DEGREE_LAT)
minlng = ll[1] - (
near_distance /
(KM_PER_DEGREE_LNG * math.cos(math.radians(ll[0]))))
maxlng = ll[1] + (
near_distance /
(KM_PER_DEGREE_LNG * math.cos(math.radians(ll[0]))))
context["minlat"] = minlat
context["maxlat"] = maxlat
context["minlng"] = minlng
context["maxlng"] = maxlng
near_events = Searchable.objects.filter(
latitude__gte=minlat,
latitude__lte=maxlat,
longitude__gte=minlng,
longitude__lte=maxlng,
end_time__gte=datetime.datetime.now(),
)
if context["name"]:
near_events = near_events.filter(
Q(event_title__icontains=context["name"])
| Q(group_name__icontains=context["name"]))
context["near_events"] = sorted(
near_events,
key=lambda searchable: location.searchable_distance_from(
ll, searchable),
)
# # If there aren't any teams in the user's geoip area, show them the closest ones
if context["geoip_lookup"] and len(near_events) < 1:
context["closest_events"] = sorted(
Searchable.objects.filter(
end_time__gte=datetime.datetime.now()),
key=lambda searchable: location.searchable_distance_from(
ll, searchable),
)[:3]
near_teams = Team.objects.filter(
city__latitude__gte=minlat,
city__latitude__lte=maxlat,
city__longitude__gte=minlng,
city__longitude__lte=maxlng,
).filter(
Q(access=Team.PUBLIC)
| Q(access=Team.PRIVATE, members=request.user.profile))
if context["name"]:
near_teams = near_teams.filter(name__icontains=context["name"])
near_teams = near_teams.distinct()
context["near_teams"] = sorted(
near_teams,
key=lambda team: location.team_distance_from(ll, team))
# # If there aren't any teams in the user's geoip area, show them the closest ones
if context["geoip_lookup"] and len(near_teams) < 1:
context["closest_teams"] = sorted(
Team.public_objects.all(),
key=lambda team: location.team_distance_from(ll, team),
)[:3]
except Exception as err:
print("Error looking up nearby teams and events", err)
traceback.print_exc()
initial_search = {"distance": near_distance}
if city is not None and city.id > 0:
initial_search["city"] = city.id
context["search_by_city"] = city
if context["name"]:
initial_search["name"] = context["name"]
search_form = SearchTeamsByName(initial=initial_search)
context["search_form"] = search_form
return render(request, "get_together/index.html", context)
def home(request, *args, **kwards):
context = {}
if request.user.is_authenticated:
user_teams = Team.objects.filter(owner_profile=request.user.profile)
if len(user_teams) > 0:
context['user_teams'] = user_teams
near_distance = int(request.GET.get("distance", DEFAULT_NEAR_DISTANCE))
context['distance'] = near_distance
city=None
ll = None
if "city" in request.GET and request.GET.get("city"):
context['city_search'] = True
city = City.objects.get(id=request.GET.get("city"))
context['city'] = city
ll = [city.latitude, city.longitude]
else :
context['city_search'] = False
try:
g = get_geoip(request)
if g.latlng is not None and g.latlng[0] is not None and g.latlng[1] is not None:
ll = g.latlng
context['geoip_lookup'] = True
try:
city_distance = 1 #km
while city is None and city_distance < 100:
minlat = ll[0]-(city_distance/KM_PER_DEGREE_LAT)
maxlat = ll[0]+(city_distance/KM_PER_DEGREE_LAT)
minlng = ll[1]-(city_distance/(KM_PER_DEGREE_LNG*math.cos(math.radians(ll[0]))))
maxlng = ll[1]+(city_distance/(KM_PER_DEGREE_LNG*math.cos(math.radians(ll[0]))))
nearby_cities = City.objects.filter(latitude__gte=minlat, latitude__lte=maxlat, longitude__gte=minlng, longitude__lte=maxlng)
if len(nearby_cities) == 0:
city_distance += 1
else:
city = sorted(nearby_cities, key=lambda city: location.city_distance_from(ll, city))[0]
except:
pass # City lookup failed
except Exception as err:
context['geoip_lookup'] = False
print("Geocoder lookup failed for %s" % client_ip, err)
traceback.print_exc()
#import pdb; pdb.set_trace()
if ll is not None:
context['latitude'] = ll[0]
context['longitude'] = ll[1]
try:
minlat = ll[0]-(near_distance/KM_PER_DEGREE_LAT)
maxlat = ll[0]+(near_distance/KM_PER_DEGREE_LAT)
minlng = ll[1]-(near_distance/(KM_PER_DEGREE_LNG*math.cos(math.radians(ll[0]))))
maxlng = ll[1]+(near_distance/(KM_PER_DEGREE_LNG*math.cos(math.radians(ll[0]))))
context['minlat'] = minlat
context['maxlat'] = maxlat
context['minlng'] = minlng
context['maxlng'] = maxlng
near_events = Searchable.objects.filter(latitude__gte=minlat, latitude__lte=maxlat, longitude__gte=minlng, longitude__lte=maxlng, end_time__gte=datetime.datetime.now())
context['near_events'] = sorted(near_events, key=lambda searchable: location.searchable_distance_from(ll, searchable))
near_teams = Team.objects.filter(city__latitude__gte=minlat, city__latitude__lte=maxlat, city__longitude__gte=minlng, city__longitude__lte=maxlng)
context['near_teams'] = sorted(near_teams, key=lambda team: location.team_distance_from(ll, team))
except Exception as err:
print("Error looking up nearby teams and events", err)
traceback.print_exc()
initial_search = {'distance': near_distance}
if city is not None and city.id > 0:
initial_search['city'] = city.id
search_form = SearchForm(initial=initial_search)
context['search_form'] = search_form
return render(request, 'get_together/index.html', context)
def home(request, *args, **kwards):
context = {}
if request.user.is_authenticated:
user_teams = Team.objects.filter(owner_profile=request.user.profile)
if len(user_teams) > 0:
context['user_teams'] = user_teams
near_distance = int(request.GET.get("distance", DEFAULT_NEAR_DISTANCE))
context['distance'] = near_distance
context['geoip_lookup'] = False
city = None
ll = None
if "city" in request.GET and request.GET.get("city"):
context['city_search'] = True
city = City.objects.get(id=request.GET.get("city"))
context['city'] = city
ll = [city.latitude, city.longitude]
ga.add_event(request,
'homepage_search',
category='search',
label=city.short_name)
else:
context['city_search'] = False
try:
g = location.get_geoip(request)
if g.latlng is not None and g.latlng[0] is not None and g.latlng[
1] is not None:
ll = g.latlng
context['geoip_lookup'] = True
try:
city_distance = 1 #km
while city is None and city_distance < 100:
minlat = ll[0] - (city_distance / KM_PER_DEGREE_LAT)
maxlat = ll[0] + (city_distance / KM_PER_DEGREE_LAT)
minlng = ll[1] - (city_distance /
(KM_PER_DEGREE_LNG *
math.cos(math.radians(ll[0]))))
maxlng = ll[1] + (city_distance /
(KM_PER_DEGREE_LNG *
math.cos(math.radians(ll[0]))))
nearby_cities = City.objects.filter(
latitude__gte=minlat,
latitude__lte=maxlat,
longitude__gte=minlng,
longitude__lte=maxlng)
if len(nearby_cities) == 0:
city_distance += 1
else:
city = sorted(nearby_cities,
key=lambda city: location.
city_distance_from(ll, city))[0]
if request.user.profile.city is None:
profile = request.user.profile
profile.city = city
profile.save()
except:
raise Exception('City lookup filed')
else:
raise Exception('Geocoder result has no latlng')
except Exception as err:
context['geoip_lookup'] = False
print(
"Geocoder lookup failed for %s" %
request.META.get('REMOTE_ADDR'), err)
if ll is not None:
context['latitude'] = ll[0]
context['longitude'] = ll[1]
try:
minlat = ll[0] - (near_distance / KM_PER_DEGREE_LAT)
maxlat = ll[0] + (near_distance / KM_PER_DEGREE_LAT)
minlng = ll[1] - (
near_distance /
(KM_PER_DEGREE_LNG * math.cos(math.radians(ll[0]))))
maxlng = ll[1] + (
near_distance /
(KM_PER_DEGREE_LNG * math.cos(math.radians(ll[0]))))
context['minlat'] = minlat
context['maxlat'] = maxlat
context['minlng'] = minlng
context['maxlng'] = maxlng
near_events = Searchable.objects.filter(
latitude__gte=minlat,
latitude__lte=maxlat,
longitude__gte=minlng,
longitude__lte=maxlng,
end_time__gte=datetime.datetime.now())
context['near_events'] = sorted(
near_events,
key=lambda searchable: location.searchable_distance_from(
ll, searchable))
# # If there aren't any teams in the user's geoip area, show them the closest ones
if context['geoip_lookup'] and len(near_events) < 1:
context['closest_events'] = sorted(
Searchable.objects.filter(
end_time__gte=datetime.datetime.now()),
key=lambda searchable: location.searchable_distance_from(
ll, searchable))[:3]
near_teams = Team.objects.filter(city__latitude__gte=minlat,
city__latitude__lte=maxlat,
city__longitude__gte=minlng,
city__longitude__lte=maxlng)
context['near_teams'] = sorted(
near_teams,
key=lambda team: location.team_distance_from(ll, team))
# # If there aren't any teams in the user's geoip area, show them the closest ones
if context['geoip_lookup'] and len(near_teams) < 1:
context['closest_teams'] = sorted(
Team.objects.all(),
key=lambda team: location.team_distance_from(ll, team))[:3]
except Exception as err:
print("Error looking up nearby teams and events", err)
traceback.print_exc()
initial_search = {'distance': near_distance}
if city is not None and city.id > 0:
initial_search['city'] = city.id
search_form = SearchForm(initial=initial_search)
context['search_form'] = search_form
return render(request, 'get_together/index.html', context)