def quick_save(self,*args,**kwargs):
super(Tree, self).save(*args,**kwargs)
set_environmental_summaries(self)
#set new species counts
if hasattr(self,'old_species') and self.old_species:
self.old_species.save()
if hasattr(self,'species') and self.species:
self.species.save()
self.plot.last_updated = self.last_updated
self.plot.save()
def quick_save(self, *args, **kwargs):
super(Tree, self).save(*args, **kwargs)
set_environmental_summaries(self)
#set new species counts
if hasattr(self, 'old_species') and self.old_species:
self.old_species.save()
if hasattr(self, 'species') and self.species:
self.species.save()
self.plot.last_updated = self.last_updated
self.plot.save()
def save(self, *args, **kwargs):
self.validate()
pnt = self.geometry
n = Neighborhood.objects.filter(geometry__contains=pnt)
z = ZipCode.objects.filter(geometry__contains=pnt)
if n:
oldns = self.neighborhoods
new_nhoods = []
for nhood in n:
if nhood:
new_nhoods.append(nhood.id.__str__())
self.neighborhoods = " ".join(new_nhoods)
else:
self.neighborhoods = ""
oldns = None
if self.id:
oldn = self.neighborhood.all()
oldz = self.zipcode
else:
oldn = []
oldz = None
super(Plot, self).save(*args,**kwargs)
if n:
self.neighborhood.clear()
for nhood in n:
if nhood:
self.neighborhood.add(nhood)
else:
self.neighborhood.clear()
if z: self.zipcode = z[0]
else: self.zipcode = None
if self.current_tree():
set_environmental_summaries(self.current_tree())
super(Plot, self).save(*args,**kwargs)
if self.neighborhoods != oldns:
done = []
if n:
for nhood in n:
if nhood.id in done: continue
if self.current_tree():
self.current_tree().update_aggregate(AggregateNeighborhood, nhood)
else:
self.update_aggregate(AggregateNeighborhood, nhood)
done.append(nhood.id)
if oldn:
for nhood in oldn:
if nhood.id in done: continue
if self.current_tree():
self.current_tree().update_aggregate(AggregateNeighborhood, nhood)
else:
self.update_aggregate(AggregateNeighborhood, nhood)
done.append(nhood.id)
if self.current_tree() and z and z[0] != oldz:
if z: self.current_tree().update_aggregate(AggregateZipCode, z[0])
if oldz: self.current_tree().update_aggregate(AggregateZipCode, oldz)
def save(self, *args, **kwargs):
self.validate()
pnt = self.geometry
n = Neighborhood.objects.filter(geometry__contains=pnt)
z = ZipCode.objects.filter(geometry__contains=pnt)
if n:
oldns = self.neighborhoods
new_nhoods = []
for nhood in n:
if nhood:
new_nhoods.append(nhood.id.__str__())
self.neighborhoods = " ".join(new_nhoods)
else:
self.neighborhoods = ""
oldns = None
if self.id:
oldn = self.neighborhood.all()
oldz = self.zipcode
else:
oldn = []
oldz = None
super(Plot, self).save(*args, **kwargs)
if n:
self.neighborhood.clear()
for nhood in n:
if nhood:
self.neighborhood.add(nhood)
else:
self.neighborhood.clear()
if z: self.zipcode = z[0]
else: self.zipcode = None
if self.current_tree():
set_environmental_summaries(self.current_tree())
super(Plot, self).save(*args, **kwargs)
if self.neighborhoods != oldns:
done = []
if n:
for nhood in n:
if nhood.id in done: continue
if self.current_tree():
self.current_tree().update_aggregate(
AggregateNeighborhood, nhood)
else:
self.update_aggregate(AggregateNeighborhood, nhood)
done.append(nhood.id)
if oldn:
for nhood in oldn:
if nhood.id in done: continue
if self.current_tree():
self.current_tree().update_aggregate(
AggregateNeighborhood, nhood)
else:
self.update_aggregate(AggregateNeighborhood, nhood)
done.append(nhood.id)
if self.current_tree() and z and z[0] != oldz:
if z: self.current_tree().update_aggregate(AggregateZipCode, z[0])
if oldz:
self.current_tree().update_aggregate(AggregateZipCode, oldz)
