def __init__(self, dataset, name, data):
Dimension.__init__(self, dataset, name, data)
self.taxonomy = name
self.attributes = []
for name, attr in self.DATE_ATTRIBUTES.items():
self.attributes.append(Attribute(self, name, attr))
self._pk_cache = {}
def __init__(self, dataset, name, data):
Dimension.__init__(self, dataset, name, data)
self.taxonomy = data.get('taxonomy', name)
self.attributes = []
for name, attr in data.get('attributes', {}).items():
self.attributes.append(Attribute(self, name, attr))
# TODO: possibly use a LRU later on?
self._pk_cache = {}
def __init__(self, dataset, name, data):
Attribute.__init__(self, dataset, name, data)
self.label = data.get('label', name)
def __init__(self, dataset, name, data):
Attribute.__init__(self, dataset, name, data)
Dimension.__init__(self, dataset, name, data)
def __init__(self, dataset, name, data):
Attribute.__init__(self, dataset, name, data)
self.label = data.get('label', name)
def __init__(self, dataset, name, data):
Attribute.__init__(self, dataset, name, data)
Dimension.__init__(self, dataset, name, data)
def __init__(self, model, name, data):
Attribute.__init__(self, model, name, data)
Dimension.__init__(self, model, name, data)
