test_datatypes.py 文件源码

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

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

    dt1_lit = Literal("2002-05-30T09:00:00", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime1'], dt1_lit)))) == 1

    dt2_lit = Literal("2002-05-30T09:30:10.5", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime2'], dt2_lit)))) == 1

    dt3_lit = Literal("2002-05-30T09:30:10Z", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime3'], dt3_lit)))) == 1

    dt4_lit = Literal("2002-05-30T09:30:10-06:00", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime4'], dt4_lit)))) == 1

    dt5_lit = Literal("2002-05-30T09:30:10+04:00", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime5'], dt5_lit)))) == 1

    datestamp = Literal("2004-04-12T13:20:00-05:00", datatype=XSD.dateTimeStamp)
    assert len(list(g.triples((NS['event/1'], NS['datetimestamp'], datestamp)))) == 1