195 lines
7.1 KiB
Python
195 lines
7.1 KiB
Python
#
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# Copyright 2015 eNovance
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from oslo_config import cfg
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from oslo_serialization import jsonutils
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import requests
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import wsme
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from wsme import types as wtypes
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from aodh.api.controllers.v2 import base
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from aodh.api.controllers.v2 import utils as v2_utils
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from aodh import keystone_client
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cfg.CONF.import_opt('gnocchi_url', 'aodh.alarm.evaluator.gnocchi',
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group="alarms")
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class GnocchiUnavailable(Exception):
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code = 503
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class AlarmGnocchiThresholdRule(base.AlarmRule):
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comparison_operator = base.AdvEnum('comparison_operator', str,
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'lt', 'le', 'eq', 'ne', 'ge', 'gt',
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default='eq')
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"The comparison against the alarm threshold"
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threshold = wsme.wsattr(float, mandatory=True)
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"The threshold of the alarm"
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aggregation_method = wsme.wsattr(wtypes.text, mandatory=True)
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"The aggregation_method to compare to the threshold"
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evaluation_periods = wsme.wsattr(wtypes.IntegerType(minimum=1), default=1)
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"The number of historical periods to evaluate the threshold"
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granularity = wsme.wsattr(wtypes.IntegerType(minimum=1), default=60)
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"The time range in seconds over which query"
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@classmethod
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def validate_alarm(cls, alarm):
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alarm_rule = getattr(alarm, "%s_rule" % alarm.type)
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aggregation_method = alarm_rule.aggregation_method
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if aggregation_method not in cls._get_aggregation_methods():
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raise base.ClientSideError(
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'aggregation_method should be in %s not %s' % (
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cls._get_aggregation_methods(), aggregation_method))
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# NOTE(sileht): once cachetools is in the requirements
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# enable it
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# @cachetools.ttl_cache(maxsize=1, ttl=600)
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@staticmethod
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def _get_aggregation_methods():
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ks_client = keystone_client.get_client()
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gnocchi_url = cfg.CONF.alarms.gnocchi_url
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headers = {'Content-Type': "application/json",
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'X-Auth-Token': ks_client.auth_token}
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try:
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r = requests.get("%s/v1/capabilities" % gnocchi_url,
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headers=headers)
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except requests.ConnectionError as e:
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raise GnocchiUnavailable(e)
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if r.status_code // 200 != 1:
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raise GnocchiUnavailable(r.text)
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return jsonutils.loads(r.text).get('aggregation_methods', [])
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class MetricOfResourceRule(AlarmGnocchiThresholdRule):
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metric = wsme.wsattr(wtypes.text, mandatory=True)
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"The name of the metric"
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resource_id = wsme.wsattr(wtypes.text, mandatory=True)
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"The id of a resource"
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resource_type = wsme.wsattr(wtypes.text, mandatory=True)
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"The resource type"
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def as_dict(self):
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rule = self.as_dict_from_keys(['granularity', 'comparison_operator',
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'threshold', 'aggregation_method',
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'evaluation_periods',
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'metric',
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'resource_id',
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'resource_type'])
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return rule
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@classmethod
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def validate_alarm(cls, alarm):
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super(MetricOfResourceRule,
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cls).validate_alarm(alarm)
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rule = alarm.gnocchi_resources_threshold_rule
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ks_client = keystone_client.get_client()
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gnocchi_url = cfg.CONF.alarms.gnocchi_url
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headers = {'Content-Type': "application/json",
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'X-Auth-Token': ks_client.auth_token}
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try:
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r = requests.get("%s/v1/resource/%s/%s" % (
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gnocchi_url, rule.resource_type,
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rule.resource_id),
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headers=headers)
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except requests.ConnectionError as e:
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raise GnocchiUnavailable(e)
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if r.status_code == 404:
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raise base.EntityNotFound('gnocchi resource',
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rule.resource_id)
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elif r.status_code // 200 != 1:
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raise base.ClientSideError(r.content, status_code=r.status_code)
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class AggregationMetricByResourcesLookupRule(AlarmGnocchiThresholdRule):
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metric = wsme.wsattr(wtypes.text, mandatory=True)
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"The name of the metric"
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query = wsme.wsattr(wtypes.text, mandatory=True)
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"The query to filter the metric"
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resource_type = wsme.wsattr(wtypes.text, mandatory=True)
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"The resource type"
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def as_dict(self):
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rule = self.as_dict_from_keys(['granularity', 'comparison_operator',
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'threshold', 'aggregation_method',
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'evaluation_periods',
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'metric',
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'query',
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'resource_type'])
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return rule
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@classmethod
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def validate_alarm(cls, alarm):
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super(AggregationMetricByResourcesLookupRule,
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cls).validate_alarm(alarm)
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rule = alarm.gnocchi_aggregation_by_resources_threshold_rule
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# check the query string is a valid json
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try:
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query = jsonutils.loads(rule.query)
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except ValueError:
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raise wsme.exc.InvalidInput('rule/query', rule.query)
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# Scope the alarm to the project id if needed
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auth_project = v2_utils.get_auth_project(alarm.project_id)
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if auth_project:
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rule.query = jsonutils.dumps({
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"and": [{"=": {"created_by_project_id": auth_project}},
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query]})
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# Delegate the query validation to gnocchi
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ks_client = keystone_client.get_client()
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request = {
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'url': "%s/v1/aggregation/resource/%s/metric/%s" % (
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cfg.CONF.alarms.gnocchi_url,
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rule.resource_type,
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rule.metric),
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'headers': {'Content-Type': "application/json",
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'X-Auth-Token': ks_client.auth_token},
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'params': {'aggregation': rule.aggregation_method},
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'data': rule.query,
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}
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try:
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r = requests.post(**request)
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except requests.ConnectionError as e:
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raise GnocchiUnavailable(e)
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if r.status_code // 200 != 1:
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raise base.ClientSideError(r.content, status_code=r.status_code)
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class AggregationMetricsByIdLookupRule(AlarmGnocchiThresholdRule):
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metrics = wsme.wsattr([wtypes.text], mandatory=True)
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"A list of metric Ids"
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def as_dict(self):
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rule = self.as_dict_from_keys(['granularity', 'comparison_operator',
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'threshold', 'aggregation_method',
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'evaluation_periods',
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'metrics'])
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return rule
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