87 lines
3.6 KiB
Python
87 lines
3.6 KiB
Python
#
|
|
# 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 logging
|
|
from toscaparser.common.exception import InvalidPropertyValueError
|
|
from translator.hot.syntax.hot_resource import HotResource
|
|
|
|
# Name used to dynamically load appropriate map class.
|
|
TARGET_CLASS_NAME = 'ToscaMonitoring'
|
|
|
|
log = logging.getLogger('heat-translator')
|
|
|
|
ALARM_STATISTIC = {'mean': 'mean', 'median': 'median', 'summary': 'sum',
|
|
'maximum': 'max', 'minimum': 'min', 'last': 'last',
|
|
'std': 'std', 'first': 'first', 'count': 'count'}
|
|
|
|
|
|
class ToscaMonitoring(HotResource):
|
|
'''Translate TOSCA node type tosca.policies.Monitoring'''
|
|
|
|
toscatype = 'tosca.policies.Monitoring'
|
|
|
|
def __init__(self, policy, csar_dir=None):
|
|
hot_type = "OS::Aodh::GnocchiAggregationByResourcesAlarm"
|
|
super(ToscaMonitoring, self).__init__(policy,
|
|
type=hot_type,
|
|
csar_dir=csar_dir)
|
|
self.policy = policy
|
|
self.filter = list()
|
|
|
|
def handle_expansion(self):
|
|
'''handle monitoring resources in case of multiple triggers'''
|
|
hot_type = 'OS::Aodh::GnocchiAggregationByResourcesAlarm'
|
|
extra_resources = list()
|
|
extra_triggers = self.policy.entity_tpl["triggers"]
|
|
for trigger_name, trigger_dict in extra_triggers.items():
|
|
if trigger_name not in self.filter:
|
|
self.filter.append(trigger_name)
|
|
prop = self._get_monitoring_prop(trigger_dict)
|
|
mon_resources = HotResource(self.nodetemplate,
|
|
type=hot_type,
|
|
name=trigger_name,
|
|
properties=prop)
|
|
extra_resources.append(mon_resources)
|
|
return extra_resources
|
|
|
|
def handle_properties(self):
|
|
self.properties = {}
|
|
if self.policy.entity_tpl.get('triggers'):
|
|
triggers = self.policy.entity_tpl["triggers"]
|
|
trigger_name, trigger_dict = list(triggers.items())[0]
|
|
self.filter.append(trigger_name)
|
|
self.properties = self._get_monitoring_prop(trigger_dict)
|
|
self.name = trigger_name
|
|
return self.properties
|
|
|
|
def _get_monitoring_prop(self, trigger):
|
|
sample = trigger.get('condition')
|
|
prop = dict()
|
|
prop["description"] = sample.get('constraint')
|
|
prop["metric"] = trigger.get('metric')
|
|
if sample.get('aggregation_method') not in ALARM_STATISTIC:
|
|
msg = _('method should be one of given statistics')
|
|
log.error(msg)
|
|
raise InvalidPropertyValueError(what=msg)
|
|
prop["aggregation_method"] = \
|
|
ALARM_STATISTIC[sample["aggregation_method"]]
|
|
prop["granularity"] = sample.get("granularity")
|
|
prop["threshold"] = sample.get("threshold")
|
|
prop["resource_type"] = sample.get("resource_type", "instance")
|
|
prop["comparison_operator"] = sample.get('comparison_operator')
|
|
prop['evaluation_periods'] = sample.get('evaluations')
|
|
return prop
|
|
|
|
def embed_substack_templates(self, hot_template_version):
|
|
pass
|