test_null_values.py 文件源码

def test_null_values_with_single_string():
    csvw = CSVW(csv_path="tests/null1.csv",
                metadata_path="tests/null1.single.csv-metadata.json")
    rdf_contents = csvw.to_rdf()
    g = ConjunctiveGraph()
    g.parse(data=rdf_contents, format="turtle")

    # There should be no subject NA
    all_subjects = {x for x in g.subjects()}
    assert subj_ns['null_key'] not in all_subjects
    assert subj_ns['1'] in all_subjects
    assert len(all_subjects) == 4

    # Null valued objects should not be created
    all_objects = {x for x in g.objects()}
    assert Literal('null_key', datatype=XSD.token) not in all_objects
    assert Literal('null_sector') not in all_objects
    assert Literal('null_id', datatype=XSD.token) not in all_objects
    assert Literal('PUBLIC') in all_objects
    assert Literal('12', datatype=XSD.token) in all_objects

    # Spot check some triples do not exist but other do from the same row
    null_key_lit = Literal('null_id', datatype=XSD.token)
    assert len(list(g.triples((subj_ns['2'], id_uri, null_key_lit)))) == 0

    priv_lit = Literal('PRIVATE')
    assert len(list(g.triples((subj_ns['2'], sect_uri, priv_lit)))) == 1

    null_sector_lit = Literal('null_sector')
    assert len(list(g.triples((subj_ns['3'], sect_uri, null_sector_lit)))) == 0

    twelve_lit = Literal('12', datatype=XSD.token)
    assert len(list(g.triples((subj_ns['3'], id_uri, twelve_lit)))) == 1