How to use the ceilometer.sample.Sample function in ceilometer
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openstack / ceilometer / tests / publisher / test_rpc_publisher.py View on Github 
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'name': 'TestPublish'},
),
sample.Sample(
name='test',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'name': 'TestPublish'},
),
sample.Sample(
name='test2',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'name': 'TestPublish'},
),
sample.Sample(
name='test2',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',self.pipeline_cfg[0]['transformers'] = [
{
'name': 'rate_of_change',
'parameters': {
'source': {},
'target': {'name': 'cpu_util',
'unit': '%',
'type': sample.TYPE_GAUGE,
'scale': s}
}
},
]
self.pipeline_cfg[0]['counters'] = ['cpu']
now = timeutils.utcnow()
counters = [
sample.Sample(
name='cpu',
type=sample.TYPE_CUMULATIVE,
volume=120000000000,
unit='ns',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=now.isoformat(),
resource_metadata={'cpu_number': 4}
),
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]def setUp(self):
super(TestUDPCollectorService, self).setUp()
self.mox = self.useFixture(moxstubout.MoxStubout()).mox
self.srv = service.UDPCollectorService()
self.counter = sample.Sample(
name='foobar',
type='bad',
unit='F',
volume=1,
user_id='jd',
project_id='ceilometer',
resource_id='cat',
timestamp='NOW!',
resource_metadata={},
).as_dict()resource_metadata={'name': 'TestPublish'},
source=COUNTER_SOURCE,
),
sample.Sample(
name='test2',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'name': 'TestPublish'},
source=COUNTER_SOURCE,
),
sample.Sample(
name='test3',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'name': 'TestPublish'},
source=COUNTER_SOURCE,
),
]
def _make_fake_socket(self, published):
def _fake_socket_socket(family, type):
def record_data(msg, dest):def test_with_user_wrong_tenant(self):
counter1 = sample.Sample(
'instance',
'cumulative',
'',
1,
'user-id2',
'project-id2',
'resource-id-alternate',
timestamp=datetime.datetime(2012, 7, 2, 10, 41),
resource_metadata={'display_name': 'test-server',
'tag': 'self.counter1',
},
source='not-test',
)
msg2 = rpc.meter_message_from_counter(
counter1,
cfg.CONF.publisher_rpc.metering_secret,increment = datetime.timedelta(minutes=interval)
print('Adding new samples for meter %s.' % (name))
# Generate samples
n = 0
total_volume = volume
while timestamp <= end:
if (random_min >= 0 and random_max >= 0):
# If there is a random element defined, we will add it to
# user given volume.
if isinstance(random_min, int) and isinstance(random_max, int):
total_volume += random.randint(random_min, random_max)
else:
total_volume += random.uniform(random_min, random_max)
c = sample.Sample(name=name,
type=meter_type,
unit=unit,
volume=total_volume,
user_id=user_id,
project_id=project_id,
resource_id=resource_id,
timestamp=timestamp.isoformat(),
resource_metadata=resource_metadata,
source=source,
)
data = utils.meter_message_from_counter(
c, conf.publisher.telemetry_secret)
# timestamp should be string when calculating signature, but should be
# datetime object when calling record_metering_data.
data['timestamp'] = timestamp
yield dataresource_metadata={'display_name': 'test-server',
'tag': 'self.sample'},
source='test_list_resources'),
sample.Sample(
'meter.test',
'cumulative',
'',
3,
'user-id',
'project-id',
'resource-id',
timestamp=datetime.datetime(2012, 7, 2, 11, 40),
resource_metadata={'display_name': 'test-server',
'tag': 'self.sample'},
source='test_list_resources'),
sample.Sample(
'meter.mine',
'gauge',
'',
1,
'user-id',
'project-id',
'resource-id2',
timestamp=datetime.datetime(2012, 7, 2, 10, 41),
resource_metadata={'display_name': 'test-server',
'tag': 'two.sample'},
source='test_list_resources'),
sample.Sample(
'meter.test',
'cumulative',
'',
1,def get_samples(self, manager, cache, resources):
"""Returns all samples."""
for endpoint in resources:
for probe in self._iter_probes(manager.keystone, cache, endpoint):
yield sample.Sample(
name='power',
type=sample.TYPE_GAUGE,
unit='W',
volume=probe['w'],
user_id=None,
project_id=None,
resource_id=probe['id'],
resource_metadata={}
)def _calculate(self, resource_id):
"""Evaluate the expression and return a new sample if successful."""
ns_dict = dict((m, s.as_dict()) for m, s
in six.iteritems(self.cache[resource_id]))
ns = transformer.Namespace(ns_dict)
try:
new_volume = eval(self.expr_escaped, {}, ns)
if math.isnan(new_volume):
raise ArithmeticError(_('Expression evaluated to '
'a NaN value!'))
reference_sample = self.cache[resource_id][self.reference_meter]
return sample.Sample(
name=self.target.get('name', reference_sample.name),
unit=self.target.get('unit', reference_sample.unit),
type=self.target.get('type', reference_sample.type),
volume=float(new_volume),
user_id=reference_sample.user_id,
project_id=reference_sample.project_id,
resource_id=reference_sample.resource_id,
timestamp=self.latest_timestamp,
resource_metadata=reference_sample.resource_metadata
)
except Exception as e:
LOG.warning(_('Unable to evaluate expression %(expr)s: %(exc)s'),
{'expr': self.expr, 'exc': e})def get_samples(self, manager, cache, resources):
for fip in resources or []:
if fip['status'] is None:
LOG.warning("Invalid status, skipping IP address %s" %
fip['floating_ip_address'])
continue
status = self.get_status_id(fip['status'])
yield sample.Sample(
name='ip.floating',
type=sample.TYPE_GAUGE,
unit='ip',
volume=status,
user_id=fip.get('user_id'),
project_id=fip['tenant_id'],
resource_id=fip['id'],
resource_metadata=self.extract_metadata(fip)
)
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