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)
try:
volume_data.append(
self.t_cloudkitty.format_item(
volume,
METRICS_CONF['services_units']['volume'],
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_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)
volume_data.append(self.t_cloudkitty.format_item(volume,
'GB',
volume_stats.max))
if not volume_data:
raise collector.NoDataCollected(self.collector_name, 'volume')
return self.t_cloudkitty.format_service('volume', volume_data)
def run(self):
while True:
timestamp = self.check_state()
if not timestamp:
break
for service in CONF.collect.services:
try:
try:
data = self._collect(service, timestamp)
except collector.NoDataCollected:
raise
except Exception as e:
LOG.warn('Error while collecting service {service}:'
' {error}'.format(service=service,
error=six.text_type(e)))
raise collector.NoDataCollected('', service)
except collector.NoDataCollected:
begin = timestamp
end = begin + self._period
for processor in self._processors:
processor.obj.nodata(begin, end)
self._storage.nodata(begin, end, self._tenant_id)
else:
# Rating
for processor in self._processors:
processor.obj.process(data)
# Writing
self._storage.append(data, self._tenant_id)
# We're getting a full period so we directly commit
self._storage.commit(self._tenant_id)
def run(self):
while True:
timestamp = self.check_state()
if not timestamp:
break
for service in METRICS_CONF['services']:
try:
try:
data = self._collect(service, timestamp)
except collector.NoDataCollected:
raise
except Exception as e:
LOG.warning(
'Error while collecting service '
'%(service)s: %(error)s',
{'service': service, 'error': e})
raise collector.NoDataCollected('', service)
except collector.NoDataCollected:
begin = timestamp
end = begin + self._period
for processor in self._processors:
processor.obj.nodata(begin, end)
self._storage.nodata(begin, end, self._tenant_id)
else:
# Rating
for processor in self._processors:
processor.obj.process(data)
# Writing
self._storage.append(data, self._tenant_id)
# We're getting a full period so we directly commit
self._storage.commit(self._tenant_id)
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)
floating_data.append(
self.t_cloudkitty.format_item(floating, 'ip', 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_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:
compute_data.append(
self.t_cloudkitty.format_item(
instance,
METRICS_CONF['services_units']['compute'],
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_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)
tap_bw_mb = tap_stat.max / 1048576.0
bw_data.append(self.t_cloudkitty.format_item(tap, 'MB', 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_instance_addon(self,
start,
end=None,
project_id=None,
q_filter=None):
active_instance_ids = self.active_resources('instance', start, end,
project_id, q_filter)
instance_addon_data = []
for instance_id in active_instance_ids:
if not self._cacher.has_resource_detail('instance.addon',
instance_id):
raw_resource = self._conn.resources.get(instance_id)
instance_addon = self.t_ceilometer.strip_resource_data(
'instance.addon', raw_resource)
self._cacher.add_resource_detail('instance.addon', instance_id,
instance_addon)
instance_addon = self._cacher.get_resource_detail(
'instance.addon', instance_id)
instance_addon_data.append(
self.t_cloudkitty.format_item(instance_addon, 'instance.addon',
1))
if not instance_addon_data:
raise collector.NoDataCollected(self.collector_name,
'instance.addon')
return self.t_cloudkitty.format_service('instance.addon',
instance_addon_data)
def retrieve(self, resource_name, start, end, project_id, q_filter=None):
resources = self.resource_info(resource_name, start, end,
project_id=project_id,
q_filter=q_filter)
if not resources:
raise collector.NoDataCollected(self.collector_name, resource_name)
return self.t_cloudkitty.format_service(resource_name, resources)
def run(self):
while True:
timestamp = self.check_state()
if not timestamp:
break
metrics = list(self.conf['metrics'].keys())
for metric in metrics:
try:
try:
data = self._collect(metric, timestamp)
except collector.NoDataCollected:
raise
except Exception as e:
LOG.warning(
'Error while collecting metric '
'%(metric)s: %(error)s',
{'metric': metric, 'error': e})
raise collector.NoDataCollected('', metric)
except collector.NoDataCollected:
begin = timestamp
end = begin + self._period
for processor in self._processors:
processor.obj.nodata(begin, end)
self._storage.nodata(begin, end, self._tenant_id)
else:
# Rating
for processor in self._processors:
processor.obj.process(data)
# Writing
self._storage.append(data, self._tenant_id)
# We're getting a full period so we directly commit
self._storage.commit(self._tenant_id)
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 test_do_collection_some_empty(self):
metrics = ['metric{}'.format(i) for i in range(7)]
side_effect = [(
metrics[i],
{'period': {'begin': 0,
'end': 3600},
'usage': i},
) for i in range(5)]
side_effect.insert(2, collector.NoDataCollected('a', 'b'))
side_effect.insert(4, collector.NoDataCollected('a', 'b'))
self.worker._collect.side_effect = side_effect
output = sorted(self.worker._do_collection(metrics, 0).items(),
key=lambda x: x[1]['usage'])
self.assertEqual([
i for i in side_effect
if not isinstance(i, collector.NoDataCollected)
], output)
def _collect(self, metric, start_timestamp):
next_timestamp = tzutils.add_delta(
start_timestamp, timedelta(seconds=self._period))
name, data = self._collector.retrieve(
metric,
start_timestamp,
next_timestamp,
self._tenant_id
)
if not data:
raise collector.NoDataCollected(self._collector, metric)
return name, data
def generic_retrieve(self,
resource_name,
start,
end=None,
project_id=None,
q_filter=None):
resources = self.resource_info(resource_name, start, end, project_id,
q_filter)
if not resources:
raise collector.NoDataCollected(self.collector_name, resource_name)
for resource in resources:
# NOTE(sheeprine): Reference to gnocchi resource used by storage
resource['resource_id'] = resource['desc']['resource_id']
return self.t_cloudkitty.format_service(resource_name, resources)
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_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)
def _get_data(self,
res_type,
start,
end=None,
project_id=None,
q_filter=None):
self._open_csv()
rows = self.filter_rows(start, end, project_id, res_type=res_type)
data = []
for row in rows:
data.append({
'desc': json.loads(row['desc']),
'vol': json.loads(row['vol'])
})
if not data:
raise collector.NoDataCollected(self.collector_name, res_type)
return self.t_cloudkitty.format_service(res_type, 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)
image_mb = image_stats.max / 1048576.0
image_data.append(
self.t_cloudkitty.format_item(image, 'image', image_mb))
if not image_data:
raise collector.NoDataCollected(self.collector_name, 'image')
return self.t_cloudkitty.format_service('image', image_data)
def run(self):
while True:
timestamp = self.check_state()
if not timestamp:
break
metrics = list(self._conf['metrics'].keys())
storage_data = []
for metric in metrics:
try:
try:
data = self._collect(metric, timestamp)
except collector.NoDataCollected:
raise
except Exception as e:
LOG.warning(
'[%(scope_id)s] Error while collecting metric '
'%(metric)s: %(error)s',
{
'scope_id': self._tenant_id,
'metric': metric,
'error': e,
},
)
raise collector.NoDataCollected('', metric)
except collector.NoDataCollected:
LOG.info('[{}] No data collected for metric {} '
'at timestamp {}'.format(
self._tenant_id, metric,
ck_utils.ts2dt(timestamp)))
else:
# Rating
for processor in self._processors:
processor.obj.process(data)
# Writing
if isinstance(data, list):
storage_data += data
else:
storage_data.append(data)
# We're getting a full period so we directly commit
self._storage.push(storage_data, self._tenant_id)
self._state.set_state(self._tenant_id, timestamp)
def fetch_all(self, metric_name, start, end, project_id, q_filter=None):
"""Returns metrics to be valorized."""
# NOTE(mc): Remove potential trailing '/' to avoid
# url building problems
url = CONF.collector_prometheus.prometheus_url
if url.endswith('/'):
url = url[:-1]
res = PrometheusClient.get_data(
url,
self.conf[metric_name]['extra_args']['query'],
start,
end,
self.period,
metric_name,
)
# If the query returns an empty dataset,
# raise a NoDataCollected exception.
if not res['data']['result']:
raise collector.NoDataCollected(self.collector_name, metric_name)
formatted_resources = []
for item in res['data']['result']:
metadata, groupby, qty = self._format_data(
metric_name,
project_id,
start,
end,
item,
)
item = self.t_cloudkitty.format_item(
groupby,
metadata,
self.conf[metric_name]['unit'],
qty=qty,
)
formatted_resources.append(item)
return formatted_resources
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_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)
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_traffic(self, start, end=None, project_id=None, q_filter=None):
active_traffic_stats = self.resources_stats('bandwidth', start, end,
project_id, q_filter)
traffic_data = []
for traffic_stat in active_traffic_stats:
label_id = traffic_stat.groupby['resource_id']
if not self._cacher.has_resource_detail('traffic', label_id):
raw_resource = self._conn.resources.get(label_id)
traffic = self.t_ceilometer.strip_resource_data(
'traffic', raw_resource)
self._cacher.add_resource_detail('traffic', label_id, traffic)
traffic = self._cacher.get_resource_detail('traffic', label_id)
traffic_gb = traffic_stat.sum / 1073741824.0
traffic["traffic_size"] = traffic_gb
traffic_data.append(
self.t_cloudkitty.format_item(traffic, 'GB', traffic_gb))
if not traffic_data:
raise collector.NoDataCollected(self.collector_name, 'traffic')
return self.t_cloudkitty.format_service('traffic', traffic_data)
def build_query(cls, source, query, start, end, period, metric_name):
"""Build PromQL instant queries."""
start = ck_utils.iso8601_from_timestamp(start)
end = ck_utils.iso8601_from_timestamp(end)
if '$period' in query:
try:
query = ck_utils.template_str_substitute(
query, {'period': str(period) + 's'},
)
except (KeyError, ValueError):
raise collector.NoDataCollected(
collector.collector_name,
metric_name
)
# Due to the design of Cloudkitty, only instant queries are supported.
# In that case 'time' equals 'end' and
# the window time is reprezented by the period.
return source + '/query?query=' + query + '&time=' + end
def _fetch_measures(self,
metric_name,
start,
end,
project_id=None,
q_filter=None):
"""Get measures for given metric during the timeframe.
:param metric_name: metric name to filter on.
:type metric_name: str
:param start: Start of the timeframe.
:param end: End of the timeframe if needed.
:param project_id: Filter on a specific tenant/project.
:type project_id: str
:param q_filter: Append a custom filter.
:type q_filter: list
"""
dimensions = self._get_dimensions(metric_name, project_id, q_filter)
group_by = self.conf[metric_name]['groupby']
resource_key = self.conf[metric_name]['extra_args']['resource_key']
if resource_key not in group_by:
LOG.error('Resource key "{}" is not in group_by keys: "{}". '
'Please adapt your configuration.'.format(
resource_key, group_by))
raise collector.NoDataCollected(self.collector_name, metric_name)
# NOTE(lpeschke): One aggregated measure per collect period
period = end - start
extra_args = self.conf[metric_name]['extra_args']
return self._conn.metrics.list_statistics(
name=metric_name,
merge_metrics=True,
dimensions=dimensions,
start_time=ck_utils.ts2dt(start),
end_time=ck_utils.ts2dt(end),
period=period,
statistics=extra_args['aggregation_method'],
group_by=group_by)
def get_cloudstorage(self,
start,
end=None,
project_id=None,
q_filter=None):
# To bill in each and every period
active_cloud_volume_stats = self.resources_stats(
'storage.objects.size', start, end, project_id, q_filter)
cloud_volume_data = []
for cloud_volume_stats in active_cloud_volume_stats:
cloud_volume_id = cloud_volume_stats.groupby['resource_id']
if not self._cacher.has_resource_detail('cloudstorage',
cloud_volume_id):
raw_resource = self._conn.resources.get(cloud_volume_id)
cloud_volume = self.t_ceilometer.strip_resource_data(
'cloudstorage', raw_resource)
self._cacher.add_resource_detail('cloudstorage',
cloud_volume_id, cloud_volume)
cloud_volume = self._cacher.get_resource_detail(
'cloudstorage', cloud_volume_id)
# Convert bytes to GB
cloud_volume_gb = cloud_volume_stats.max / 1073741824.0
cloud_volume_data.append(
self.t_cloudkitty.format_item(cloud_volume, 'GB',
cloud_volume_gb))
if not cloud_volume_data:
raise collector.NoDataCollected(self.collector_name,
'cloudstorage')
return self.t_cloudkitty.format_service('cloudstorage',
cloud_volume_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)
rgw_size = rgw_stats.max / 1073741824.0
rgw["radosgw_size"] = rgw_size
rgw_data.append(self.t_cloudkitty.format_item(rgw, 'GB', rgw_size))
if not rgw_data:
raise collector.NoDataCollected(self.collector_name,
'radosgw.usage')
return self.t_cloudkitty.format_service('radosgw.usage', rgw_data)
