def create_es(failure_lines):
# Store the failure lines in elastic_search
es_lines = []
for failure_line in failure_lines:
es_line = TestFailureLine.from_model(failure_line)
if es_line:
es_lines.append(es_line)
bulk_insert(es_lines)
def create_es(failure_lines):
# Store the failure lines in elastic_search
es_lines = []
for failure_line in failure_lines:
es_line = TestFailureLine.from_model(failure_line)
if es_line:
es_lines.append(es_line)
bulk_insert(es_lines)
def handle(self, *args, **options):
if options["recreate"]:
connection.indices.delete(TestFailureLine._doc_type.index,
ignore=404)
TestFailureLine.init()
elif connection.indices.exists(TestFailureLine._doc_type.index):
self.stderr.write("Index already exists; can't perform import")
return
fields = [
'id',
'action',
'job_guid',
'test',
'subtest',
'status',
'expected',
'message',
'best_classification_id',
'best_is_verified',
]
failure_lines = FailureLine.objects.filter(action='test_result')
for rows in chunked_qs(failure_lines,
options['chunk_size'],
fields=fields):
if not rows:
break
es_lines = [TestFailureLine.from_model(line) for line in rows]
self.stdout.write("Inserting %i rows" % len(es_lines))
bulk_insert(es_lines)
time.sleep(options['sleep'])
count = Search(doc_type=TestFailureLine).count()
self.stdout.write("Index contains %i documents" % count)