in text-semantic-search/embeddings_extraction/etl/pipeline.py [0:0]
def create_entity(input_features, kind):
entity = entity_pb2.Entity()
datastore_helper.add_key_path(
entity.key, kind, input_features['id'])
datastore_helper.add_properties(
entity, {
'text': unicode(input_features['text'])
})
return entity