def create_keyword(self, graph, subject):
if is_deprecated(graph, subject):
return
keyword = Keyword(data_source=self.data_source)
keyword._created = True
keyword.id = get_yso_id(subject)
keyword.created_time = BaseModel.now()
keyword.aggregate = is_aggregate_concept(graph, subject)
self.update_keyword(keyword, graph, subject)
return keyword
def create_keyword(self, graph, subject):
if is_deprecated(graph, subject):
return
keyword = Keyword(data_source=self.data_source)
keyword._created = True
keyword.id = get_yso_id(subject)
keyword.created_time = BaseModel.now()
keyword.aggregate = is_aggregate_concept(graph, subject)
self.update_keyword(keyword, graph, subject)
return keyword
def save_keywords_in_bulk(self, graph, data_source):
keywords = []
for subject in graph.subjects(RDF.type, SKOS.Concept):
if is_deprecated(graph, subject):
continue
keyword = Keyword(data_source=data_source)
keyword.aggregate = is_aggregate_concept(graph, subject)
keyword.id = self.yso_id(subject)
keyword.created_time = BaseModel.now()
keyword.last_modified_time = BaseModel.now()
for _, literal in graph.preferredLabel(subject):
with active_language(literal.language):
keyword.name = str(literal)
keywords.append(keyword)
Keyword.objects.bulk_create(keywords, batch_size=1000)
def save_keywords_in_bulk(self, graph, data_source):
keywords = []
for subject in graph.subjects(RDF.type, SKOS.Concept):
if is_deprecated(graph, subject):
continue
keyword = Keyword(data_source=data_source)
keyword.aggregate = is_aggregate_concept(graph, subject)
keyword.id = self.yso_id(subject)
keyword.created_time = BaseModel.now()
keyword.last_modified_time = BaseModel.now()
for _, literal in graph.preferredLabel(subject):
with active_language(literal.language):
keyword.name = str(literal)
keywords.append(keyword)
Keyword.objects.bulk_create(keywords, batch_size=1000)
