def _add_optional_dataset_props(dataset: Dataset, es_hit: Mapping) -> None:
dataset.contactpoint = utils.create_contact(es_hit)
dataset.creator = URI(os.environ["PUBLISHER"])
dataset.frequency = URI(es_hit.get("periodicity", ""))
dataset.license = URI(es_hit["license"]["url"])
dataset.temporal_coverage = utils.create_temporal_coverage(
es_hit["temporal"])
def test_to_graph_should_return_temporal_coverage() -> None:
"""It returns a temporal coverage graph isomorphic to spec."""
dataset = Dataset()
dataset.identifier = "http://example.com/datasets/1"
# Create PeriodOfTime:
temporal_coverage = PeriodOfTime()
temporal_coverage.start_date = "2019-12-31"
temporal_coverage.end_date = "2020-12-31"
# Add temporal_coverage to dataset:
dataset.temporal_coverage = temporal_coverage
src = """
@prefix dct: <http://purl.org/dc/terms/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<http://example.com/datasets/1> a dcat:Dataset ;
dct:temporal [ a dct:PeriodOfTime ;
dcat:startDate "2019-12-31"^^xsd:date ;
dcat:endDate "2020-12-31"^^xsd:date ;
]
.
"""
g1 = Graph().parse(data=dataset.to_rdf(), format="turtle")
g2 = Graph().parse(data=src, format="turtle")
_isomorphic = isomorphic(g1, g2)
if not _isomorphic:
_dump_diff(g1, g2)
pass
assert _isomorphic