def test_add_dsd():
transformer = Transformer()
transformer.add_dsd(dimensions_csv, slices)
subjects = [i.n3() for i in transformer._g.subjects()]
assert "<http://ncanda.sri.com/terms#sliceByArmVisit>" in subjects
def test_add_observations():
transformer = Transformer()
with pytest.raises(KeyError):
transformer.add_observations(observation)
transformer.add_observations(observation)
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
def test_add_metadata():
transformer = Transformer()
transformer.add_metadata(metadata_path)
subjects = [i.n3() for i in transformer._g.subjects()]
assert "<http://sibis.sri.com/iri/ncanda-public-release-1.0.0>" in subjects
def test_init():
transformer = Transformer()
assert isinstance(transformer, Transformer)
import pytest
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()]
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_add_observations():
transformer = Transformer()
transformer.add_observations(observation)
subjects = [i.n3() for i in transformer._g.subjects()]
iri = "<http://sibis.sri.com/iri/0251ee3ec64386df9864ff27219610488c61792a>"
assert iri in subjects