def auto_set_key_name(sender, **kwargs):
from gogogo.views.db.forms import next_key_name
kwargs = kwargs["kwargs"]
if "auto_set_key_name" in kwargs:
if sender.kind() in auto_set_key_name_table and "key_name" not in kwargs:
fields = auto_set_key_name_table[sender.kind()]
items = []
for f in fields:
if not hasattr(sender,f): # It is not a property. It is a keyword
items.append(f)
continue
prop = getattr(sender,f)
value = kwargs[f]
if isinstance(prop,db.ReferenceProperty):
if isinstance(value,db.Key):
items.append(value.id_or_name())
else:
items.append(value.key().id_or_name())
elif isinstance(prop,MLStringProperty):
items.append(MLStringProperty.to_key_name(value))
else:
items.append(value)
key_name = "-".join(items)
kwargs["key_name"] = next_key_name(sender,key_name)
del kwargs["auto_set_key_name"]
if c.station != None:
g.set_fixed_centroid(LatLng(c.station.latlng.lat ,c.station.latlng.lon ) )
del stops[key.id_or_name()]
clusterer.appendGroup(g)
stations = []
for id in stops:
s = stops[id]
if s.location_type == 1:
#Create cluster based on station
stations.append(s)
key_name = next_key_name(Cluster , MLStringProperty.to_key_name(s.name))
cluster = Cluster(key_name = key_name)
cluster.set_station(s)
pt = LatLng(s.latlng.lat,s.latlng.lon)
pt.set_data(s)
g = LatLngGroup()
g.set_data(cluster)
g.append(pt)
g.set_fixed_centroid(pt)
clusterer.appendGroup(g)
print "%d stations found" % len(stations)
