poppedModel = all[modelname]
if poppedModel.applyFilter():
print "Filter applied for ", poppedModel.getModelName()
modelIsChanging = False
if poppedModel.dataWasFiltered():
print "Data was filtered for ", poppedModel.getModelName()
modelIsChanging = True
related_models = poppedModel.getRelatedModelNames()
for related_model in related_models:
related_model_name = related_model.get_accessor_name()[:(len(related_model.get_accessor_name()) - 4)]
if related_model_name in all.keys():
x = all[related_model_name]
x.applyFKs(modelname, poppedModel.getPKs())
else:
print "No data filtered for ", poppedModel.getModelName()
break
results = {}
for name in all.keys():
if len(all[name].getResults()) > 0:
values = all[name].getResults().values()
results[name] = encoder.encode(list(values))
print "Self.results[", name, "] length = ", len(all[name].getResults())
else:
print "Clearing all results because one model was empty"
results = {}
break
print locations.getResults()
print signs.getResults()
