for idx, scheme in enumerate(schemes):
assert_scheme_committed(scheme, dump[idx])
+def assert_monitoring_attrs_committed(attrs, dump):
+ assert_true(dump['sample_interval'] == attrs.sample_us, 'sample_interval',
+ dump)
+ assert_true(dump['aggr_interval'] == attrs.aggr_us, 'aggr_interval', dump)
+ assert_true(dump['intervals_goal']['access_bp'] ==
+ attrs.intervals_goal.access_bp, 'access_bp',
+ dump['intervals_goal'])
+ assert_true(dump['intervals_goal']['aggrs'] == attrs.intervals_goal.aggrs,
+ 'aggrs', dump['intervals_goal'])
+ assert_true(dump['intervals_goal']['min_sample_us'] ==
+ attrs.intervals_goal.min_sample_us, 'min_sample_us',
+ dump['intervals_goal'])
+ assert_true(dump['intervals_goal']['max_sample_us'] ==
+ attrs.intervals_goal.max_sample_us, 'max_sample_us',
+ dump['intervals_goal'])
+
+ assert_true(dump['ops_update_interval'] == attrs.update_us,
+ 'ops_update_interval', dump)
+ assert_true(dump['min_nr_regions'] == attrs.min_nr_regions,
+ 'min_nr_regions', dump)
+ assert_true(dump['max_nr_regions'] == attrs.max_nr_regions,
+ 'max_nr_regions', dump)
+
def main():
kdamonds = _damon_sysfs.Kdamonds(
[_damon_sysfs.Kdamond(
fail('number of contexts', status)
ctx = status['contexts'][0]
- attrs = ctx['attrs']
- if attrs['sample_interval'] != 5000:
- fail('sample interval', status)
- if attrs['aggr_interval'] != 100000:
- fail('aggr interval', status)
- if attrs['ops_update_interval'] != 1000000:
- fail('ops updte interval', status)
-
- if attrs['intervals_goal'] != {
- 'access_bp': 0, 'aggrs': 0,
- 'min_sample_us': 0, 'max_sample_us': 0}:
- fail('intervals goal')
-
- if attrs['min_nr_regions'] != 10:
- fail('min_nr_regions')
- if attrs['max_nr_regions'] != 1000:
- fail('max_nr_regions')
+
+ assert_monitoring_attrs_committed(_damon_sysfs.DamonAttrs(), ctx['attrs'])
if ctx['adaptive_targets'] != [
{ 'pid': 0, 'nr_regions': 0, 'regions_list': []}]: