示例#1
0
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)
示例#2
0
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)
示例#3
0
def home(request, *args, **kwards):
    context = {}

    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 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())
            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.public_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,
                                                                                owner_profile=request.user.profile))
            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
    search_form = SearchForm(initial=initial_search)
    context['search_form'] = search_form
    return render(request, 'get_together/index.html', context)