def object_counter():
"""
Returns a tuple that contains counts of how many objects of each model
defined in dingos.models are in the database.
"""
class_names = dingos_class_map.keys()
class_names.sort()
result = []
for class_name in class_names:
result.append((class_name, len(dingos_class_map[class_name].objects.all())))
return result
def object_counter():
"""
Returns a tuple that contains counts of how many objects of each model
defined in dingos.models are in the database.
"""
class_names = dingos_class_map.keys()
class_names.sort()
result = []
for class_name in class_names:
result.append(
(class_name, len(dingos_class_map[class_name].objects.all())))
return result
def object_counter():
"""
Returns a tuple that contains counts of how many objects of each model
defined in dingos.models are in the database.
"""
class_names = dingos_class_map.keys()
class_names.sort()
result = []
for class_name in class_names:
#print "Class %s" % class_name
objects_in_db = dingos_class_map[class_name].objects.all()
#for o in objects_in_db:
# print o
result.append((class_name, objects_in_db.count()))
return result
def object_counter():
"""
Returns a tuple that contains counts of how many objects of each model
defined in dingos.models are in the database.
"""
class_names = dingos_class_map.keys()
class_names.sort()
result = []
for class_name in class_names:
#print "Class %s" % class_name
objects_in_db = dingos_class_map[class_name].objects.all()
#for o in objects_in_db:
# print o
result.append((class_name, objects_in_db.count()))
return result
def object_counter():
"""
Returns a tuple that contains counts of how many objects of each model
defined in dingos.models are in the database.
"""
class_names = dingos_class_map.keys()
class_names.sort()
result = []
for class_name in class_names:
result.append((class_name, len(dingos_class_map[class_name].objects.all())))
#datatypes = DataTypeNameSpace.objects.all()
#print "Datatypes"
#for dtype in datatypes:
# print dtype.uri
return result
def object_counter():
"""
Returns a tuple that contains counts of how many objects of each model
defined in dingos.models are in the database.
"""
class_names = dingos_class_map.keys()
class_names.sort()
result = []
for class_name in class_names:
result.append(
(class_name, len(dingos_class_map[class_name].objects.all())))
#datatypes = DataTypeNameSpace.objects.all()
#print "Datatypes"
#for dtype in datatypes:
# print dtype.uri
return result