def test_get_outliers(session, outlier_1, endpoint):
outliers = get_outliers_sorted(session,
endpoint_id=endpoint.id,
offset=0,
per_page=10)
assert len(outliers) == 1
assert outliers[0].id == outlier_1.id
def result_outliers(end):
rule = get_monitor_rule(end)
url = get_url(end)
return render_template('endpoint/outliers.html',
link=config.link,
session=session,
rule=rule,
url=url,
end=end,
index=7,
table=get_outliers_sorted(end,
Outlier.execution_time))
def test_get_outliers(self):
"""
Test whether the function returns the right values.
"""
from flask_monitoringdashboard.database.outlier import get_outliers_sorted
with session_scope() as db_session:
outliers = get_outliers_sorted(db_session,
endpoint_id=ENDPOINT_ID,
offset=0,
per_page=10)
self.assertEqual(len(outliers), OUTLIER_COUNT)
for i, outlier in enumerate(outliers):
self.assertEqual(outlier.request.endpoint.name, NAME)
if i == 0:
continue
self.assertTrue(outlier.request.time_requested <= outliers[
i - 1].request.time_requested)
def get_outlier_table(session, endpoint_id, offset, per_page):
"""
:param session: session for the database
:param endpoint_id: id of the endpoint
:param offset: number of items to be skipped
:param per_page: maximum number of items to be returned
:return: a list of length at most 'per_page' with data about each outlier
"""
table = get_outliers_sorted(session, endpoint_id, offset, per_page)
for idx, row in enumerate(table):
row.request.time_requested = to_local_datetime(row.request.time_requested)
try:
row.request_url = row.request_url.decode('utf-8')
except Exception as e:
log(e)
dict_request = row2dict(row.request)
table[idx] = row2dict(row)
table[idx]['request'] = dict_request
return table
def test_get_outliers(self):
"""
Test whether the function returns the right values.
"""
from flask_monitoringdashboard.database.outlier import get_outliers_sorted, Outlier
self.assertEqual(get_outliers_sorted(NAME, Outlier.time), [])