本文整理匯總了Python中askomics.libaskomics.rdfdb.SparqlQueryBuilder.SparqlQueryBuilder.load_from_query_json方法的典型用法代碼示例。如果您正苦於以下問題：Python SparqlQueryBuilder.load_from_query_json方法的具體用法？Python SparqlQueryBuilder.load_from_query_json怎麽用？Python SparqlQueryBuilder.load_from_query_json使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類askomics.libaskomics.rdfdb.SparqlQueryBuilder.SparqlQueryBuilder的用法示例。
在下文中一共展示了SparqlQueryBuilder.load_from_query_json方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_print_ids
# 需要導入模塊: from askomics.libaskomics.rdfdb.SparqlQueryBuilder import SparqlQueryBuilder [as 別名]
# 或者: from askomics.libaskomics.rdfdb.SparqlQueryBuilder.SparqlQueryBuilder import load_from_query_json [as 別名]
def test_print_ids(self):
from askomics.libaskomics.rdfdb.SparqlQueryBuilder import SparqlQueryBuilder
request = testing.DummyRequest()
sqb = SparqlQueryBuilder(self.settings, request.session)
graph = {'limit': 30, 'return_only_query': False, 'filter_cat': [], 'constraint': [{'type': 'node', 'id': 'entity1', 'uri': 'http://www.semanticweb.org/irisa/ontologies/2016/1/igepp-ontology#entity'}], 'filter_str': [{'id': 'entity1', 'value': 'xxxx'}], 'display': [{'id': 'entity1'}, {}], 'export': 0, 'filter_num': [], 'uploaded': ''}
query = sqb.load_from_query_json(graph).query
self.assertIn('?entity1 a :entity .\n\tFILTER (regex(str(?entity1), "xxxx", "i")) .', query)示例2: launch_query
# 需要導入模塊: from askomics.libaskomics.rdfdb.SparqlQueryBuilder import SparqlQueryBuilder [as 別名]
# 或者: from askomics.libaskomics.rdfdb.SparqlQueryBuilder.SparqlQueryBuilder import load_from_query_json [as 別名]
def launch_query(self):
""" Converts the constraints table created by the graph to a sparql query, send it to the database and compile the results"""
data = {}
body = self.request.json_body
export = bool(int(body['export']))
sqb = SparqlQueryBuilder(self.settings, self.request.session)
return_only_query = bool(int(body['return_only_query']))
if body['uploaded'] != '':
if export:
query = body['uploaded'].replace('LIMIT 30', 'LIMIT 10000')
else:
query = body['uploaded']
else:
query = sqb.load_from_query_json(body).query
if return_only_query:
data['query'] = query
return data
ql = QueryLauncher(self.settings, self.request.session)
rb = ResultsBuilder(self.settings, self.request.session)
results = ql.process_query(query)
if export:
data['file'] = ql.format_results_csv(rb.build_csv_table(results))
else:
entity_name_list, entity_list_attributes = rb.organize_attribute_and_entity(results, body['constraint'])
data['results_entity_name'] = entity_name_list
data['results_entity_attributes'] = entity_list_attributes
data['results'] = [
{
k: res[k].replace(self.settings["askomics.prefix"], '')
for k in res.keys()
}
for res in results
]
self.log.debug("== results ==")
for elt in results:
self.log.debug(elt)
# data['query'] = query
return data