def get_all_dependencies(self):
"""Return all variables and attributes needed to compute this variable.
This is returned as a list of tuples where the first element is either AttributeBox or
VariableName of the dependent variable and the second element is the version for
which this variable was computed.
"""
def create_fake_dataset(dataset_name):
storage = StorageFactory().get_storage('dict_storage')
storage.write_table(
table_name='fake_dataset',
table_data={
'id':array([], dtype='int32')
}
)
dataset = Dataset(in_storage=storage, in_table_name='fake_dataset', dataset_name=dataset_name, id_name="id")
return dataset
result_others = []
dependencies_list = self.get_current_dependencies()
for i in range(len(dependencies_list)):
dep_item = dependencies_list[i][0]
version = dependencies_list[i][1]
isprimary = 0
if isinstance(dep_item, str):
depvar_name = VariableName(dep_item)
dataset_name = depvar_name.get_dataset_name()
var = VariableFactory().get_variable(depvar_name, create_fake_dataset(dataset_name),
quiet=True)
result_others = result_others + [(depvar_name, version)]
else: # dep_item should be an instance of AttributeBox
var = dep_item.get_variable_instance()
result_others = result_others + [(dep_item, version)]
isprimary = dep_item.is_primary()
if (var <> None) and (not isprimary):
res = var.get_all_dependencies()
result_others = result_others + res
return result_others
def get_all_dependencies(self):
"""Return all variables and attributes needed to compute this variable.
This is returned as a list of tuples where the first element is either AttributeBox or
VariableName of the dependent variable and the second element is the version for
which this variable was computed.
"""
def create_fake_dataset(dataset_name):
storage = StorageFactory().get_storage('dict_storage')
storage.write_table(table_name='fake_dataset',
table_data={'id': array([], dtype='int32')})
dataset = Dataset(in_storage=storage,
in_table_name='fake_dataset',
dataset_name=dataset_name,
id_name="id")
return dataset
result_others = []
dependencies_list = self.get_current_dependencies()
for i in range(len(dependencies_list)):
dep_item = dependencies_list[i][0]
version = dependencies_list[i][1]
isprimary = 0
if isinstance(dep_item, str):
depvar_name = VariableName(dep_item)
dataset_name = depvar_name.get_dataset_name()
var = VariableFactory().get_variable(
depvar_name, create_fake_dataset(dataset_name), quiet=True)
result_others = result_others + [(depvar_name, version)]
else: # dep_item should be an instance of AttributeBox
var = dep_item.get_variable_instance()
result_others = result_others + [(dep_item, version)]
isprimary = dep_item.is_primary()
if (var <> None) and (not isprimary):
res = var.get_all_dependencies()
result_others = result_others + res
return result_others
