0b213a8734
This patch set adds Gnocchi datasource support Implements: blueprint gnocchi-watcher Change-Id: I41653149435fd355548071de855586004371c4fc
93 lines
3.2 KiB
Python
93 lines
3.2 KiB
Python
# -*- encoding: utf-8 -*-
|
|
# Copyright (c) 2017 Servionica
|
|
#
|
|
# Authors: Alexander Chadin <a.chadin@servionica.ru>
|
|
#
|
|
# 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.
|
|
|
|
from datetime import datetime
|
|
import time
|
|
|
|
from oslo_config import cfg
|
|
from oslo_log import log
|
|
|
|
from watcher.common import clients
|
|
from watcher.common import exception
|
|
|
|
CONF = cfg.CONF
|
|
LOG = log.getLogger(__name__)
|
|
|
|
|
|
class GnocchiHelper(object):
|
|
|
|
def __init__(self, osc=None):
|
|
""":param osc: an OpenStackClients instance"""
|
|
self.osc = osc if osc else clients.OpenStackClients()
|
|
self.gnocchi = self.osc.gnocchi()
|
|
|
|
def query_retry(self, f, *args, **kwargs):
|
|
for i in range(CONF.gnocchi_client.query_max_retries):
|
|
try:
|
|
return f(*args, **kwargs)
|
|
except Exception as e:
|
|
LOG.exception(e)
|
|
time.sleep(CONF.gnocchi_client.query_timeout)
|
|
raise
|
|
|
|
def statistic_aggregation(self,
|
|
resource_id,
|
|
metric,
|
|
granularity,
|
|
start_time=None,
|
|
stop_time=None,
|
|
aggregation='mean'):
|
|
"""Representing a statistic aggregate by operators
|
|
|
|
:param metric: metric name of which we want the statistics
|
|
:param resource_id: id of resource to list statistics for
|
|
:param start_time: Start datetime from which metrics will be used
|
|
:param stop_time: End datetime from which metrics will be used
|
|
:param granularity: frequency of marking metric point, in seconds
|
|
:param aggregation: Should be chosen in accrodance with policy
|
|
aggregations
|
|
:return: value of aggregated metric
|
|
"""
|
|
|
|
if start_time is not None and not isinstance(start_time, datetime):
|
|
raise exception.InvalidParameter(parameter='start_time',
|
|
parameter_type=datetime)
|
|
|
|
if stop_time is not None and not isinstance(stop_time, datetime):
|
|
raise exception.InvalidParameter(parameter='stop_time',
|
|
parameter_type=datetime)
|
|
|
|
raw_kwargs = dict(
|
|
metric=metric,
|
|
start=start_time,
|
|
stop=stop_time,
|
|
resource_id=resource_id,
|
|
granularity=granularity,
|
|
aggregation=aggregation,
|
|
)
|
|
|
|
kwargs = {k: v for k, v in raw_kwargs.items() if k and v}
|
|
|
|
statistics = self.query_retry(
|
|
f=self.gnocchi.metric.get_measures, **kwargs)
|
|
|
|
if statistics:
|
|
# return value of latest measure
|
|
# measure has structure [time, granularity, value]
|
|
return statistics[-1][2]
|