test_datatypes.py 文件源码

def test_time():

    with CSVW(csv_path="tests/datatypes.time.csv",
              metadata_path="tests/datatypes.time.csv-metadata.json") as csvw:
        rdf_output = csvw.to_rdf()

    g = ConjunctiveGraph()
    g.parse(data=rdf_output, format="turtle")

    NS = Namespace('https://www.example.org/')

    time1_lit = Literal("19:30:00", datatype=XSD.time)
    assert len(list(g.triples((NS['event/1'], NS['time1'], time1_lit)))) == 1

    time2_lit = Literal("09:30:10.5", datatype=XSD.time)
    assert len(list(g.triples((NS['event/1'], NS['time2'], time2_lit)))) == 1

    time3_lit = Literal("10:30:10Z", datatype=XSD.time)
    assert len(list(g.triples((NS['event/1'], NS['time3'], time3_lit)))) == 1

    time4_lit = Literal("11:30:10-06:00", datatype=XSD.time)
    assert len(list(g.triples((NS['event/1'], NS['time4'], time4_lit)))) == 1

    time5_lit = Literal("04:30:10+04:00", datatype=XSD.time)
    assert len(list(g.triples((NS['event/1'], NS['time5'], time5_lit)))) == 1