def create(datadict, mapping, metadata, dimensions, slices, observations):
transformer = Transformer()
transformer.build_graph(datadict, mapping)
transformer.add_metadata(metadata)
transformer.add_dsd(dimensions, slices)
transformer.add_observations(observations)
transformer.display_graph()
def create(datadict, mapping, metadata, dimensions, slices, observations):
transformer = Transformer()
transformer.build_graph(datadict, mapping)
transformer.add_metadata(metadata)
transformer.add_dsd(dimensions, slices)
transformer.add_observations(observations)
transformer.display_graph()
def test_build_graph():
transformer = Transformer()
transformer.build_graph(dd, mapping)
subjects = [i.n3() for i in transformer._g.subjects()]
assert '<http://ncanda.sri.com/terms#subject>' in subjects
from redcap_rdf.sparql import queries
from redcap_rdf.tests.data import test_files
from redcap_rdf.transform_to_cube import Transformer
# Load test data.
metadata_path = test_files.get('dataset')
dd = test_files.get('observation_datadict')
slices = test_files.get('slices')
dimensions_csv = 'subject,arm,visit'
observation = test_files.get('observation')
mapping = test_files.get('mapping')
# Setup for integrity constraint checks
ic_transformer = Transformer()
ic_transformer.build_graph(dd, mapping)
ic_transformer.add_metadata(metadata_path)
ic_transformer.add_dsd(dimensions_csv, slices)
ic_transformer.add_observations(observation)
def test_init():
transformer = Transformer()
assert isinstance(transformer, Transformer)
def test_build_graph():
transformer = Transformer()
transformer.build_graph(dd, mapping)
subjects = [i.n3() for i in transformer._g.subjects()]
assert '<http://ncanda.sri.com/terms#subject>' in subjects