def cluster_tooltip(cluster, r_list):
cluster_rids = [
r_list[point.id] for point in cluster['points']
]
pins = [
getObjectFromCatalog(catalog, rid) for rid in cluster_rids
]
return self.cluster_index(pins=pins)
def _search_geo_clusters(self, filters):
"""
Returns all the clusters that match the specified criteria.
This does not check for the 180/-180 meridian in the map
"""
# unpack map limits
if filters:
lat_min = float(filters[0]['geo_latitude']['query'][0])
lat_max = float(filters[0]['geo_latitude']['query'][1])
lon_min = float(filters[0]['geo_longitude']['query'][0])
lon_max = float(filters[0]['geo_longitude']['query'][1])
else: # this should not happen
return [], []
# preparing for the call to the catalog
catalog_tool = self.getCatalogTool()
# call the improved cluster_catalog function for getting the clusters
centers, groups = clusters_catalog.getClusters(catalog_tool, filters)
# transform centers to Geo
centers = map(lambda c: Geo(str(c.lat), str(c.lon)), centers)
cluster_obs, single_obs = [], []
for i in range(len(centers)):
if len(groups[i]) < 10:
# from this const on we actually return clusters
for so in groups[i]:
sobject = clusters_catalog.getObjectFromCatalog(
catalog_tool, so)
# do not display it if it is not in the actual map
if (Decimal(str(lat_min)) < sobject.geo_location.lat <
Decimal(str(lat_max))):
if (Decimal(str(lon_min)) < sobject.geo_location.lon <
Decimal(str(lon_max))):
single_obs.append(sobject)
else:
if (Decimal(str(lat_min)) < centers[i].lat <
Decimal(str(lat_max))):
if (Decimal(str(lon_min)) < centers[i].lon <
Decimal(str(lon_max))):
group_paths = [
clusters_catalog.getObjectPathFromCatalog(
catalog_tool, rid)
for rid in groups[i]]
cluster_obs.append((centers[i], group_paths))
return cluster_obs, single_obs
def point_data(cluster, r_list):
def cluster_tooltip(cluster, r_list):
cluster_rids = [
r_list[point.id] for point in cluster['points']
]
pins = [
getObjectFromCatalog(catalog, rid) for rid in cluster_rids
]
return self.cluster_index(pins=pins)
num_points = len(cluster['points'])
if num_points == 1:
point = cluster['points'][0]
pin = getObjectFromCatalog(catalog, r_list[point.id])
icon_name = 'mk_single_rating_%s_%d' % (pin.type, pin.rating)
return {
'id': pin.id,
'icon_name': icon_name,
'lat': pin.latitude,
'lon': pin.longitude,
'display_tooltip': False,
'tooltip': '',
'label': ''
}
else:
rating = int(cluster['averageRating'])
display_tooltip = (lat_max - lat_min) < 1.
if display_tooltip:
tooltip = cluster_tooltip(cluster, r_list)
else:
tooltip = ''
icon_name = 'mk_rating_%s_%d_%d' % (cluster['type'], rating,
num_points)
return {
'id': '',
'icon_name': icon_name,
'lat': cluster['center'].lat,
'lon': cluster['center'].lon,
'display_tooltip': display_tooltip,
'tooltip': tooltip,
'label': 'cluster',
'num_points': num_points
}
def point_data(cluster, r_list):
def cluster_tooltip(cluster, r_list):
cluster_rids = [r_list[point.id] for point in cluster['points']]
pins = [getObjectFromCatalog(catalog, rid) for rid in cluster_rids]
return self.cluster_index(pins=pins)
num_points = len(cluster['points'])
if num_points == 1:
point = cluster['points'][0]
pin = getObjectFromCatalog(catalog, r_list[point.id])
icon_name = 'mk_single_rating_%s_%d' % (pin.type, pin.rating)
return {'id': pin.id,
'icon_name': icon_name,
'lat': pin.latitude,
'lon': pin.longitude,
'display_tooltip': False,
'tooltip': '',
'label': ''}
else:
rating = int(cluster['averageRating'])
display_tooltip = (lat_max - lat_min) < 1.
if display_tooltip:
tooltip = cluster_tooltip(cluster, r_list)
else:
tooltip = ''
icon_name = 'mk_rating_%s_%d_%d' % (cluster['type'],
rating,
num_points)
return {'id': '',
'icon_name': icon_name,
'lat': cluster['center'].lat,
'lon': cluster['center'].lon,
'display_tooltip': display_tooltip,
'tooltip': tooltip,
'label': 'cluster',
'num_points': num_points}
def cluster_tooltip(cluster, r_list):
cluster_rids = [r_list[point.id] for point in cluster['points']]
pins = [getObjectFromCatalog(catalog, rid) for rid in cluster_rids]
return self.cluster_index(pins=pins)
