Files
watcher/watcher/common/ceilometer.py
Jean-Emile DARTOIS 827563608f Integration of Ceilometer in Watcher
In current implementation is not easy to use ceilometer.
Watcher must query metrics from the Telemetry v2 API to allow an easiest integration with OpenStack components (especially devstack).

blueprint telemetry-integration
Change-Id: Ide515472f1d160925d9f4aabf48c96dea4f6bc05
2015-11-23 15:29:28 +01:00

174 lines
6.3 KiB
Python

# -*- encoding: utf-8 -*-
# Copyright (c) 2015 b<>com
#
# Authors: Jean-Emile DARTOIS <jean-emile.dartois@b-com.com>
#
# 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 urlparse import urlparse
from ceilometerclient import client
from ceilometerclient.exc import HTTPUnauthorized
from watcher.common import keystone
class Client(object):
# todo olso conf: this must be sync with ceilometer
CEILOMETER_API_VERSION = '2'
def __init__(self):
ksclient = keystone.Client()
self.creds = ksclient.get_credentials()
self.creds['os_auth_token'] = ksclient.get_token()
self.creds['token'] = ksclient.get_token()
self.creds['ceilometer_url'] = "http://" + urlparse(
ksclient.get_endpoint(
service_type='metering',
endpoint_type='publicURL')).netloc
self.connect()
def connect(self):
"""Initialization of Ceilometer client."""
self.cmclient = client.get_client(self.CEILOMETER_API_VERSION,
**self.creds)
def build_query(user_id=None, tenant_id=None, resource_id=None,
user_ids=None, tenant_ids=None, resource_ids=None):
"""Returns query built from given parameters.
This query can be then used for querying resources, meters and
statistics.
:Parameters:
- `user_id`: user_id, has a priority over list of ids
- `tenant_id`: tenant_id, has a priority over list of ids
- `resource_id`: resource_id, has a priority over list of ids
- `user_ids`: list of user_ids
- `tenant_ids`: list of tenant_ids
- `resource_ids`: list of resource_ids
"""
user_ids = user_ids or []
tenant_ids = tenant_ids or []
resource_ids = resource_ids or []
query = []
if user_id:
user_ids = [user_id]
for u_id in user_ids:
query.append({"field": "user_id", "op": "eq", "value": u_id})
if tenant_id:
tenant_ids = [tenant_id]
for t_id in tenant_ids:
query.append({"field": "project_id", "op": "eq", "value": t_id})
if resource_id:
resource_ids = [resource_id]
for r_id in resource_ids:
query.append({"field": "resource_id", "op": "eq", "value": r_id})
return query
def query_sample(self, meter_name, query, limit=1):
try:
samples = self.ceilometerclient().samples.list(
meter_name=meter_name,
limit=limit,
q=query)
except HTTPUnauthorized:
self.connect()
samples = self.ceilometerclient().samples.list(
meter_name=meter_name,
limit=limit,
q=query)
except Exception:
raise
return samples
def get_endpoint(self, service_type, endpoint_type=None):
ksclient = keystone.Client()
endpoint = ksclient.get_endpoint(service_type=service_type,
endpoint_type=endpoint_type)
return endpoint
def statistic_list(self, meter_name, query=None, period=None):
"""List of statistics."""
statistics = self.ceilometerclient().statistics.list(
meter_name=meter_name, q=query, period=period)
return statistics
def meter_list(self, query=None):
"""List the user's meters."""
meters = self.ceilometerclient().meters.list(query)
return meters
def statistic_aggregation(self,
resource_id,
meter_name,
period,
aggregate='avg'):
"""
:param resource_id: id
:param meter_name: meter names of which we want the statistics
:param period: `period`: In seconds. If no period is given, only one
aggregate statistic is returned. If given, a faceted
result will be returned, divided into given periods.
Periods with no data are ignored.
:param aggregate:
:return:
"""
"""Representing a statistic aggregate by operators"""
query = self.build_query(resource_id=resource_id)
try:
statistic = self.cmclient.statistics.list(
meter_name=meter_name,
q=query,
period=period,
aggregates=[
{'func': aggregate}],
groupby=['resource_id'])
except HTTPUnauthorized:
self.connect()
statistic = self.cmclient.statistics.list(
meter_name=meter_name,
q=query,
period=period,
aggregates=[
{'func': aggregate}],
groupby=['resource_id'])
except Exception:
raise
item_value = None
if statistic:
item_value = statistic[-1]._info.get('aggregate').get('avg')
return item_value
def get_last_sample_values(self, resource_id, meter_name, limit=1):
samples = self.query_sample(meter_name=meter_name,
query=self.build_query(resource_id))
values = []
for index, sample in enumerate(samples):
values.append(
{'sample_%s' % index: {'timestamp': sample._info['timestamp'],
'value': sample._info[
'counter_volume']}})
return values
def get_last_sample_value(self, resource_id, meter_name):
samples = self.query_sample(meter_name=meter_name,
query=self.build_query(resource_id))
if samples:
return samples[-1]._info['counter_volume']
else:
return False