def to_rdf(
data,
dataset,
base=None,
context_data=None,
version=None,
generalized_rdf=False,
allow_lists_of_lists=None,
):
# TODO: docstring w. args and return value
context = Context(base=base, version=version)
if context_data:
context.load(context_data)
parser = Parser(
generalized_rdf=generalized_rdf, allow_lists_of_lists=allow_lists_of_lists
)
return parser.parse(data, context, dataset)
action='store_true',
help='Make the output more human readable')
parser.add_argument('-p', '--profile', nargs='*',
action='store',
help='RDF Profiles to use, defaults to euro_dcat_ap')
parser.add_argument('-m', '--compat-mode',
action='store_true',
help='Enable compatibility mode')
args = parser.parse_args()
contents = args.file.read()
if args.mode == 'produce':
serializer = RDFSerializer(profiles=args.profile,
compatibility_mode=args.compat_mode)
dataset = json.loads(contents)
out = serializer.serialize_dataset(dataset, _format=args.format)
print out
else:
parser = RDFParser(profiles=args.profile,
compatibility_mode=args.compat_mode)
parser.parse(contents, _format=args.format)
ckan_datasets = [d for d in parser.datasets()]
indent = 4 if args.pretty else None
print json.dumps(ckan_datasets, indent=indent)
