4f38595e4e
In this patch feching resource_id by resource's original_id was added to statistic_aggregation method. Closes-Bug: #1707653 Change-Id: I70b9346146f810e2236ccdb31de4c3fedf200568
105 lines
3.7 KiB
Python
105 lines
3.7 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2017 Servionica
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#
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# Authors: Alexander Chadin <a.chadin@servionica.ru>
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from datetime import datetime
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import time
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from oslo_config import cfg
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from oslo_log import log
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from watcher.common import clients
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from watcher.common import exception
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from watcher.common import utils as common_utils
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CONF = cfg.CONF
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LOG = log.getLogger(__name__)
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class GnocchiHelper(object):
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def __init__(self, osc=None):
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""":param osc: an OpenStackClients instance"""
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self.osc = osc if osc else clients.OpenStackClients()
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self.gnocchi = self.osc.gnocchi()
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def query_retry(self, f, *args, **kwargs):
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for i in range(CONF.gnocchi_client.query_max_retries):
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try:
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return f(*args, **kwargs)
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except Exception as e:
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LOG.exception(e)
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time.sleep(CONF.gnocchi_client.query_timeout)
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raise
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def statistic_aggregation(self,
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resource_id,
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metric,
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granularity,
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start_time=None,
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stop_time=None,
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aggregation='mean'):
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"""Representing a statistic aggregate by operators
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:param metric: metric name of which we want the statistics
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:param resource_id: id of resource to list statistics for
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:param start_time: Start datetime from which metrics will be used
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:param stop_time: End datetime from which metrics will be used
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:param granularity: frequency of marking metric point, in seconds
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:param aggregation: Should be chosen in accordance with policy
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aggregations
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:return: value of aggregated metric
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"""
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if start_time is not None and not isinstance(start_time, datetime):
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raise exception.InvalidParameter(parameter='start_time',
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parameter_type=datetime)
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if stop_time is not None and not isinstance(stop_time, datetime):
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raise exception.InvalidParameter(parameter='stop_time',
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parameter_type=datetime)
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if not common_utils.is_uuid_like(resource_id):
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kwargs = dict(query={"=": {"original_resource_id": resource_id}},
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limit=1)
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resources = self.query_retry(
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f=self.gnocchi.resource.search, **kwargs)
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if not resources:
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raise exception.ResourceNotFound(name=resource_id)
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resource_id = resources[0]['id']
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raw_kwargs = dict(
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metric=metric,
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start=start_time,
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stop=stop_time,
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resource_id=resource_id,
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granularity=granularity,
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aggregation=aggregation,
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)
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kwargs = {k: v for k, v in raw_kwargs.items() if k and v}
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statistics = self.query_retry(
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f=self.gnocchi.metric.get_measures, **kwargs)
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if statistics:
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# return value of latest measure
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# measure has structure [time, granularity, value]
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return statistics[-1][2]
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