def load_mapped_csv(graph, csv_uri, mapping, context_id=None):
""" Load data from a CSV file, applying a JSON mapping and then adding
it to the graph. """
meta = {'source_url': csv_uri}
reader = unicodecsv.DictReader(read_uri(csv_uri))
ctx = graph.context(identifier=context_id, meta=meta)
for data, err in Mapper.apply_iter(reader, mapping, graph.resolver,
scope=graph.base_uri):
if err is not None:
log.warning("Error loading %r: %r", csv_uri, err)
else:
ctx.add(data['$schema'], data)
ctx.save()
def load_mapped_csv(graph, csv_uri, mapping, context_id=None):
""" Load data from a CSV file, applying a JSON mapping and then adding
it to the graph. """
meta = {'source_url': csv_uri}
reader = unicodecsv.DictReader(read_uri(csv_uri))
ctx = graph.context(identifier=context_id, meta=meta)
for data, err in Mapper.apply_iter(reader,
mapping,
graph.resolver,
scope=graph.base_uri):
if err is not None:
log.warning("Error loading %r: %r", csv_uri, err)
else:
ctx.add(data['$schema'], data)
ctx.save()
def load_dump(graph, dump_file):
""" Load an NQuads file into the current graph. """
log.debug('Loading from %r...', dump_file)
fh = read_uri(dump_file)
graph.graph.parse(fh, format='nquads')
fh.close()