/usr/lib/python2.7/dist-packages/aodh/api/controllers/v2/alarm_rules/threshold.py is in python-aodh 2.0.0-0ubuntu1.
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import wsme
from wsme import types as wtypes
from aodh.api.controllers.v2 import base
from aodh.api.controllers.v2 import utils as v2_utils
from aodh.i18n import _
from aodh import storage
class AlarmThresholdRule(base.AlarmRule):
"""Alarm Threshold Rule
Describe when to trigger the alarm based on computed statistics
"""
meter_name = wsme.wsattr(wtypes.text, mandatory=True)
"The name of the meter"
# FIXME(sileht): default doesn't work
# workaround: default is set in validate method
query = wsme.wsattr([base.Query], default=[])
"""The query to find the data for computing statistics.
Ownership settings are automatically included based on the Alarm owner.
"""
period = wsme.wsattr(wtypes.IntegerType(minimum=1), default=60)
"The time range in seconds over which query"
comparison_operator = base.AdvEnum('comparison_operator', str,
'lt', 'le', 'eq', 'ne', 'ge', 'gt',
default='eq')
"The comparison against the alarm threshold"
threshold = wsme.wsattr(float, mandatory=True)
"The threshold of the alarm"
statistic = base.AdvEnum('statistic', str, 'max', 'min', 'avg', 'sum',
'count', default='avg')
"The statistic to compare to the threshold"
evaluation_periods = wsme.wsattr(wtypes.IntegerType(minimum=1), default=1)
"The number of historical periods to evaluate the threshold"
exclude_outliers = wsme.wsattr(bool, default=False)
"Whether datapoints with anomalously low sample counts are excluded"
def __init__(self, query=None, **kwargs):
query = [base.Query(**q) for q in query] if query else []
super(AlarmThresholdRule, self).__init__(query=query, **kwargs)
@staticmethod
def validate(threshold_rule):
# note(sileht): wsme default doesn't work in some case
# workaround for https://bugs.launchpad.net/wsme/+bug/1227039
if not threshold_rule.query:
threshold_rule.query = []
# Timestamp is not allowed for AlarmThresholdRule query, as the alarm
# evaluator will construct timestamp bounds for the sequence of
# statistics queries as the sliding evaluation window advances
# over time.
v2_utils.validate_query(threshold_rule.query,
storage.SampleFilter.__init__,
allow_timestamps=False)
return threshold_rule
@staticmethod
def validate_alarm(alarm):
# ensure an implicit constraint on project_id is added to
# the query if not already present
alarm.threshold_rule.query = v2_utils.sanitize_query(
alarm.threshold_rule.query,
storage.SampleFilter.__init__,
on_behalf_of=alarm.project_id
)
@property
def default_description(self):
return (_('Alarm when %(meter_name)s is %(comparison_operator)s a '
'%(statistic)s of %(threshold)s over %(period)s seconds') %
dict(comparison_operator=self.comparison_operator,
statistic=self.statistic,
threshold=self.threshold,
meter_name=self.meter_name,
period=self.period))
def as_dict(self):
rule = self.as_dict_from_keys(['period', 'comparison_operator',
'threshold', 'statistic',
'evaluation_periods', 'meter_name',
'exclude_outliers'])
rule['query'] = [q.as_dict() for q in self.query]
return rule
@classmethod
def sample(cls):
return cls(meter_name='cpu_util',
period=60,
evaluation_periods=1,
threshold=300.0,
statistic='avg',
comparison_operator='gt',
query=[{'field': 'resource_id',
'value': '2a4d689b-f0b8-49c1-9eef-87cae58d80db',
'op': 'eq',
'type': 'string'}])
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