def exec(model):
# Create the manager
dm = DiscoverMetamodels()
# Read the model
fm = dm.use_transformation_t2m(src=model, dst='fm')
# Print the model
#print(fm)
# Transform to Python-sat metamodel
pysatm = dm.use_transformation_m2m(src=fm, dst='pysat')
# Operation execute return the object instance
operation = dm.use_operation(src=pysatm, operation='DeadFeatures')
# Print the result
print("Result:", str(operation.get_result()))
def test_discover_apply_functions(self, mocker):
mocker.return_value = [one_plugin]
search = DiscoverMetamodels()
with raises(PluginNotFound) as error:
search.use_transformation_t2m(src='file.ext', dst='foo')
assert error.typename == 'PluginNotFound'
variability_model = search.use_transformation_t2m(src='file.ext',
dst='ext')
assert isinstance(variability_model, VariabilityModel)
operation = search.use_operation(src=variability_model,
operation_name='Operation1')
assert operation.get_result() == '123456'
from famapy.core.discover import DiscoverMetamodels
# create the manager
dm = DiscoverMetamodels()
# Example t2m
fm = dm.use_transformation_t2m(src='example.xml', dst='fm')
print(fm)
# Example m2t
dm.use_transformation_m2t(src=fm, dst='output.json')
# Example m2m
# TODO: create VariabilityModel and get src extension
# todo debe haber alguna forma de pasarle el modelo cargado a la transformacion
# y que te lo devuelva en pysast
# dm.use_transformation_m2m(src=VariabilityModel, dst='pysat')
pysatm = dm.use_transformation_m2m(src=fm, dst='pysat')
print(pysatm)
# operation execute return the object instance
operation = dm.use_operation(src=pysatm, operation='Valid')
print("Result operation valid:", operation.is_valid())