def test_validate_simple():
# should be true since the dataset has a title (<A>) and a creator (<B>)
t1 = c.validate(profile_uri='http://example.org/profile/Profile_B')
print(t1)
assert t1[0], t1[2]
# should be false since the dataset does not have a created date (<C>)
t2 = c.validate(profile_uri='http://example.org/profile/Profile_C')
assert not t2[0], t2[2]
# should be false since the dataset claims conformance with <C> but has no created date
t3 = c.validate()
assert not t3[0], t3[2]
if __name__ == "__main__":
import logging
logging.basicConfig(level=logging.INFO)
c = Cheka('test_01_d.ttl', 'test_01_p.ttl')
c.get_remote_profiles = True
# print(c._get_profiles_hierarchy("http://example.org/profile/Profile_C"))
import pprint
# pprint.pprint(c.validate())
pprint.pprint(
c.validate(strategy="profile",
profile_uri="http://example.org/profile/Profile_C"))
# c.clear_cache()
'extract validating Profile Resources.',
type=lambda x: is_valid_file(parser, x),
required=True)
parser.add_argument(
'-i',
'--instance-uri',
help=
'The specific profile URI that you wish to validate the data graph against. This need not be set, in which'
'case, Cheka will look for conformance claims (dct:conformsTo) in the data graph.',
type=str)
parser.add_argument(
'-u',
'--profile-uri',
help=
'The specific profile URI that you wish to validate the data graph against. This need not be set, in which'
'case, Cheka will look for conformance claims (dct:conformsTo) in the data graph.',
type=str)
args = parser.parse_args()
# do stuff
c = Cheka(args.data.name, args.profiles.name)
v = c.validate(profile_uri=args.uri)
if v[0]:
pprint.pprint('valid')
else:
pprint.pprint('invalid')
pprint.pprint(v[2])
def test_shacl_fail(data_rdf, profiles_rdf):
c = Cheka(data_graph_ttl=data_rdf, profiles_graph_ttl=profiles_rdf)
x = c.validate()
assert "A void:Dataset must have a dcterms:created property indicating an xsd:date or xsd:dateTime" in x[2]
assert x[3] is None
def test_shacl_pass(data_rdf2, profiles_rdf):
c = Cheka(data_graph_ttl=data_rdf2, profiles_graph_ttl=profiles_rdf)
x = c.validate()
assert x[0] # i.e. valid
validation_type.add_argument(
'-i', '--instance-uri',
help='The specific profile URI that you wish to validate the data graph against. This need not be set, in which'
'case, Cheka will look for conformance claims (dct:conformsTo) in the data graph.',
type=str
)
validation_type.add_argument(
'-u', '--profile-uri',
help='The specific profile URI that you wish to validate the data graph against. This need not be set, in which'
'case, Cheka will look for conformance claims (dct:conformsTo) in the data graph.',
type=str
)
validation_type.add_argument(
'-r', '--get-remotes',
help='If set, tells Cheka to try and look up profile information, e.g. validators, via the profile\'s URI.',
type=str
)
args = parser.parse_args()
c = Cheka(args.data.name, args.profiles.name)
v = c.validate(profile_uri=args.uri) # TODO: read from any of the validation_type values
if v[0]:
pprint.pprint('valid')
else:
pprint.pprint('invalid')
pprint.pprint(v[2])