cloudkitty/cloudkitty/collector/ceilometer.py

519 lines
22 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2014 Objectif Libre
#
# 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.
#
# @author: Stéphane Albert
#
import decimal
from ceilometerclient import client as cclient
from keystoneauth1 import loading as ks_loading
from oslo_config import cfg
from oslo_log import log as logging
from oslo_utils import units
from cloudkitty import collector
from cloudkitty import utils as ck_utils
LOG = logging.getLogger(__name__)
CEILOMETER_COLLECTOR_OPTS = 'ceilometer_collector'
ceilometer_collector_opts = ks_loading.get_auth_common_conf_options()
cfg.CONF.register_opts(ceilometer_collector_opts, CEILOMETER_COLLECTOR_OPTS)
ks_loading.register_session_conf_options(
cfg.CONF,
CEILOMETER_COLLECTOR_OPTS)
ks_loading.register_auth_conf_options(
cfg.CONF,
CEILOMETER_COLLECTOR_OPTS)
CONF = cfg.CONF
METRICS_CONF = ck_utils.get_metrics_conf(CONF.collect.metrics_conf)
class ResourceNotFound(Exception):
"""Raised when the resource doesn't exist."""
def __init__(self, resource_type, resource_id):
super(ResourceNotFound, self).__init__(
"No such resource: %s, type: %s" % (resource_id, resource_type))
self.resource_id = resource_id
self.resource_type = resource_type
class CeilometerResourceCacher(object):
def __init__(self):
self._resource_cache = {}
def add_resource_detail(self, resource_type, resource_id, resource_data):
if resource_type not in self._resource_cache:
self._resource_cache[resource_type] = {}
self._resource_cache[resource_type][resource_id] = resource_data
return self._resource_cache[resource_type][resource_id]
def has_resource_detail(self, resource_type, resource_id):
if resource_type in self._resource_cache:
if resource_id in self._resource_cache[resource_type]:
return True
return False
def get_resource_detail(self, resource_type, resource_id):
try:
resource = self._resource_cache[resource_type][resource_id]
return resource
except KeyError:
raise ResourceNotFound(resource_type, resource_id)
class CeilometerCollector(collector.BaseCollector):
collector_name = 'ceilometer'
dependencies = ('CeilometerTransformer',
'CloudKittyFormatTransformer')
units_mappings = {
'compute': 'instance',
'image': 'MiB',
'volume': 'GiB',
'network.bw.out': 'MB',
'network.bw.in': 'MB',
'network.floating': 'ip',
'radosgw.usage': 'GiB'
}
def __init__(self, transformers, **kwargs):
super(CeilometerCollector, self).__init__(transformers, **kwargs)
self.t_ceilometer = self.transformers['CeilometerTransformer']
self.t_cloudkitty = self.transformers['CloudKittyFormatTransformer']
self._cacher = CeilometerResourceCacher()
self.auth = ks_loading.load_auth_from_conf_options(
CONF,
CEILOMETER_COLLECTOR_OPTS)
self.session = ks_loading.load_session_from_conf_options(
CONF,
CEILOMETER_COLLECTOR_OPTS,
auth=self.auth)
self._conn = cclient.get_client(
'2',
session=self.session)
@classmethod
def get_metadata(cls, resource_name, transformers):
info = super(CeilometerCollector, cls).get_metadata(resource_name,
transformers)
try:
info["metadata"].extend(transformers['CeilometerTransformer']
.get_metadata(resource_name))
try:
tmp = METRICS_CONF['metrics_units'][resource_name]
info['unit'] = list(tmp.values())[0]['unit']
# NOTE(mc): deprecated except part kept for backward compatibility.
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated oslo config method.')
info['unit'] = cls.units_mappings[resource_name]
except KeyError:
pass
return info
def gen_filter(self, op='eq', **kwargs):
"""Generate ceilometer filter from kwargs."""
q_filter = []
for kwarg in kwargs:
q_filter.append({'field': kwarg, 'op': op, 'value': kwargs[kwarg]})
return q_filter
def prepend_filter(self, prepend, **kwargs):
"""Filter composer."""
q_filter = {}
for kwarg in kwargs:
q_filter[prepend + kwarg] = kwargs[kwarg]
return q_filter
def user_metadata_filter(self, op='eq', **kwargs):
"""Create user_metadata filter from kwargs."""
user_filter = {}
for kwarg in kwargs:
field = kwarg
# Auto replace of . to _ to match ceilometer behaviour
if '.' in field:
field = field.replace('.', '_')
user_filter[field] = kwargs[kwarg]
user_filter = self.prepend_filter('user_metadata.', **user_filter)
return self.metadata_filter(op, **user_filter)
def metadata_filter(self, op='eq', **kwargs):
"""Create metadata filter from kwargs."""
meta_filter = self.prepend_filter('metadata.', **kwargs)
return self.gen_filter(op, **meta_filter)
def resources_stats(self,
meter,
start,
end=None,
project_id=None,
q_filter=None):
"""Resources statistics during the timespan."""
start_iso = ck_utils.ts2iso(start)
req_filter = self.gen_filter(op='ge', timestamp=start_iso)
if project_id:
req_filter.extend(self.gen_filter(project=project_id))
if end:
end_iso = ck_utils.ts2iso(end)
req_filter.extend(self.gen_filter(op='le', timestamp=end_iso))
if isinstance(q_filter, list):
req_filter.extend(q_filter)
elif q_filter:
req_filter.append(q_filter)
resources_stats = self._conn.statistics.list(meter_name=meter,
period=0, q=req_filter,
groupby=['resource_id'])
return resources_stats
def active_resources(self,
meter,
start,
end=None,
project_id=None,
q_filter=None):
"""Resources that were active during the timespan."""
resources_stats = self.resources_stats(meter,
start,
end,
project_id,
q_filter)
return [resource.groupby['resource_id']
for resource in resources_stats]
def get_compute(self, start, end=None, project_id=None, q_filter=None):
active_instance_ids = self.active_resources('cpu', start, end,
project_id, q_filter)
compute_data = []
for instance_id in active_instance_ids:
if not self._cacher.has_resource_detail('compute', instance_id):
raw_resource = self._conn.resources.get(instance_id)
instance = self.t_ceilometer.strip_resource_data('compute',
raw_resource)
self._cacher.add_resource_detail('compute',
instance_id,
instance)
instance = self._cacher.get_resource_detail('compute',
instance_id)
try:
met = list(METRICS_CONF['metrics_units']['compute'].values())
compute_data.append(self.t_cloudkitty.format_item(
instance,
met[0]['unit'],
1,
))
# NOTE(mc): deprecated except part kept for backward compatibility.
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated oslo config method.')
compute_data.append(self.t_cloudkitty.format_item(
instance,
self.units_mappings['compute'],
1,
))
if not compute_data:
raise collector.NoDataCollected(self.collector_name, 'compute')
return self.t_cloudkitty.format_service('compute', compute_data)
def get_image(self, start, end=None, project_id=None, q_filter=None):
active_image_stats = self.resources_stats('image.size',
start,
end,
project_id,
q_filter)
image_data = []
for image_stats in active_image_stats:
image_id = image_stats.groupby['resource_id']
if not self._cacher.has_resource_detail('image', image_id):
raw_resource = self._conn.resources.get(image_id)
image = self.t_ceilometer.strip_resource_data('image',
raw_resource)
self._cacher.add_resource_detail('image',
image_id,
image)
image = self._cacher.get_resource_detail('image',
image_id)
# Unit conversion
try:
conv_data = METRICS_CONF['metrics_units']['image']
image_size_mb = ck_utils.convert_unit(
decimal.Decimal(image_stats.max),
conv_data['image.size'].get('factor', 1),
conv_data['image.size'].get('offset', 0),
)
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated hardcoded method.')
image_size_mb = decimal.Decimal(image_stats.max) / units.Mi
try:
met = list(METRICS_CONF['metrics_units']['image'].values())
image_data.append(self.t_cloudkitty.format_item(
image,
met[0]['unit'],
image_size_mb,
))
# NOTE(mc): deprecated except part kept for backward compatibility.
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated oslo config method.')
image_data.append(self.t_cloudkitty.format_item(
image,
self.units_mappings['image'],
image_size_mb,
))
if not image_data:
raise collector.NoDataCollected(self.collector_name, 'image')
return self.t_cloudkitty.format_service('image', image_data)
def get_volume(self, start, end=None, project_id=None, q_filter=None):
active_volume_stats = self.resources_stats('volume.size',
start,
end,
project_id,
q_filter)
volume_data = []
for volume_stats in active_volume_stats:
volume_id = volume_stats.groupby['resource_id']
if not self._cacher.has_resource_detail('volume',
volume_id):
raw_resource = self._conn.resources.get(volume_id)
volume = self.t_ceilometer.strip_resource_data('volume',
raw_resource)
self._cacher.add_resource_detail('volume',
volume_id,
volume)
volume = self._cacher.get_resource_detail('volume',
volume_id)
# Unit conversion
try:
conv_data = METRICS_CONF['metrics_units']['volume']
volume_stats.max = ck_utils.convert_unit(
decimal.Decimal(volume_stats.max),
conv_data['volume.size'].get('factor', 1),
conv_data['volume.size'].get('offset', 0),
)
volume_data.append(self.t_cloudkitty.format_item(
volume,
conv_data['volume.size']['unit'],
volume_stats.max,
))
# NOTE(mc): deprecated except part kept for backward compatibility.
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated oslo config method.')
volume_data.append(self.t_cloudkitty.format_item(
volume,
self.units_mappings['volume'],
volume_stats.max,
))
if not volume_data:
raise collector.NoDataCollected(self.collector_name, 'volume')
return self.t_cloudkitty.format_service('volume', volume_data)
def _get_network_bw(self,
direction,
start,
end=None,
project_id=None,
q_filter=None):
if direction == 'in':
resource_type = 'network.incoming.bytes'
else:
direction = 'out'
resource_type = 'network.outgoing.bytes'
active_tap_stats = self.resources_stats(resource_type,
start,
end,
project_id,
q_filter)
bw_data = []
for tap_stat in active_tap_stats:
tap_id = tap_stat.groupby['resource_id']
if not self._cacher.has_resource_detail('network.tap',
tap_id):
raw_resource = self._conn.resources.get(tap_id)
tap = self.t_ceilometer.strip_resource_data(
'network.tap',
raw_resource)
self._cacher.add_resource_detail('network.tap',
tap_id,
tap)
tap = self._cacher.get_resource_detail('network.tap',
tap_id)
# Unit conversion
try:
conv = METRICS_CONF['metrics_units']['network.bw.' + direction]
tap_bw_mb = ck_utils.convert_unit(
decimal.Decimal(tap_stat.max),
conv[resource_type].get('factor', 1),
conv[resource_type].get('offset', 0),
)
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated hardcoded method.')
tap_bw_mb = decimal.Decimal(tap_stat.max) / units.M
try:
met = METRICS_CONF['metrics_units']['network.bw.' + direction]
bw_data.append(self.t_cloudkitty.format_item(
tap,
list(met.values())[0]['unit'],
tap_bw_mb,
))
# NOTE(mc): deprecated except part kept for backward compatibility.
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated oslo config method.')
bw_data.append(self.t_cloudkitty.format_item(
tap,
self.units_mappings['network.bw.' + direction],
tap_bw_mb,
))
ck_res_name = 'network.bw.{}'.format(direction)
if not bw_data:
raise collector.NoDataCollected(self.collector_name,
ck_res_name)
return self.t_cloudkitty.format_service(ck_res_name,
bw_data)
def get_network_bw_out(self,
start,
end=None,
project_id=None,
q_filter=None):
return self._get_network_bw('out', start, end, project_id, q_filter)
def get_network_bw_in(self,
start,
end=None,
project_id=None,
q_filter=None):
return self._get_network_bw('in', start, end, project_id, q_filter)
def get_network_floating(self,
start,
end=None,
project_id=None,
q_filter=None):
active_floating_ids = self.active_resources('ip.floating',
start,
end,
project_id,
q_filter)
floating_data = []
for floating_id in active_floating_ids:
if not self._cacher.has_resource_detail('network.floating',
floating_id):
raw_resource = self._conn.resources.get(floating_id)
floating = self.t_ceilometer.strip_resource_data(
'network.floating',
raw_resource)
self._cacher.add_resource_detail('network.floating',
floating_id,
floating)
floating = self._cacher.get_resource_detail('network.floating',
floating_id)
try:
metric = METRICS_CONF['metrics_units']['network.floating']
floating_data.append(self.t_cloudkitty.format_item(
floating,
list(metric.values())[0]['unit'],
1,
))
# NOTE(mc): deprecated except part kept for backward compatibility.
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated oslo config method.')
floating_data.append(self.t_cloudkitty.format_item(
floating,
self.units_mappings['network.floating'],
1,
))
if not floating_data:
raise collector.NoDataCollected(self.collector_name,
'network.floating')
return self.t_cloudkitty.format_service('network.floating',
floating_data)
def get_radosgw_usage(self,
start,
end=None,
project_id=None,
q_filter=None):
active_rgw_stats = self.resources_stats('radosgw.objects.size', start,
end, project_id, q_filter)
rgw_data = []
for rgw_stats in active_rgw_stats:
rgw_id = rgw_stats.groupby['resource_id']
if not self._cacher.has_resource_detail('radosgw.usage', rgw_id):
raw_resource = self._conn.resources.get(rgw_id)
rgw = self.t_ceilometer.strip_resource_data('radosgw.usage',
raw_resource)
self._cacher.add_resource_detail('radosgw.usage', rgw_id, rgw)
rgw = self._cacher.get_resource_detail('radosgw.usage', rgw_id)
# Unit conversion
try:
conv_data = METRICS_CONF['metrics_units']['radosgw.usage']
rgw_size = ck_utils.convert_unit(
decimal.Decimal(rgw_stats.max),
conv_data['radosgw.object.size'].get('factor', 1),
conv_data['radosgw.object.size'].get('offset', 0),
)
rgw_data.append(
self.t_cloudkitty.format_item(
rgw,
conv_data['rados.objects.size']['unit'],
rgw_size,
)
)
except KeyError:
LOG.warning('Error when trying to use yaml metrology conf.')
LOG.warning('Fallback on the deprecated hardcoded method.')
rgw_size = decimal.Decimal(rgw_stats.max) / units.Gi
rgw_data.append(
self.t_cloudkitty.format_item(
rgw,
self.units_mappings['radosgw.usage'],
rgw_size,
)
)
if not rgw_data:
raise collector.NoDataCollected(self.collector_name,
'radosgw.usage')
return self.t_cloudkitty.format_service('radosgw.usage', rgw_data)