Merge "High precision rate of change timedelta"
This commit is contained in:
commit
239cb3dbf6
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@ -14,6 +14,7 @@
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import collections
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import monotonic
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from oslo_log import log
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from oslo_utils import timeutils
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@ -93,13 +94,16 @@ class GenericComputePollster(plugin_base.PollsterBase):
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if instance.id not in cache[self.inspector_method]:
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result = getattr(self.inspector, self.inspector_method)(
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instance, duration)
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polled_time = monotonic.monotonic()
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# Ensure we don't cache an iterator
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if isinstance(result, collections.Iterable):
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result = list(result)
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cache[self.inspector_method][instance.id] = result
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else:
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result = [result]
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cache[self.inspector_method][instance.id] = (polled_time, result)
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return cache[self.inspector_method][instance.id]
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def _stats_to_sample(self, instance, stats):
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def _stats_to_sample(self, instance, stats, polled_time):
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volume = getattr(stats, self.sample_stats_key)
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LOG.debug("%(instance_id)s/%(name)s volume: "
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"%(volume)s" % {
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@ -121,21 +125,19 @@ class GenericComputePollster(plugin_base.PollsterBase):
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volume=volume,
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additional_metadata=self.get_additional_metadata(
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instance, stats),
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monotonic_time=polled_time,
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)
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def get_samples(self, manager, cache, resources):
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self._inspection_duration = self._record_poll_time()
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for instance in resources:
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try:
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result = self._inspect_cached(cache, instance,
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self._inspection_duration)
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polled_time, result = self._inspect_cached(
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cache, instance, self._inspection_duration)
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if not result:
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continue
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if not isinstance(result, collections.Iterable):
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result = [result]
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for stats in self.aggregate_method(result):
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yield self._stats_to_sample(instance, stats)
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yield self._stats_to_sample(instance, stats, polled_time)
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except NoVolumeException:
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# FIXME(sileht): This should be a removed... but I will
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# not change the test logic for now
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@ -76,7 +76,8 @@ def _get_metadata_from_object(conf, instance):
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def make_sample_from_instance(conf, instance, name, type, unit, volume,
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resource_id=None, additional_metadata=None):
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resource_id=None, additional_metadata=None,
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monotonic_time=None):
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additional_metadata = additional_metadata or {}
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resource_metadata = _get_metadata_from_object(conf, instance)
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resource_metadata.update(additional_metadata)
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@ -89,6 +90,7 @@ def make_sample_from_instance(conf, instance, name, type, unit, volume,
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project_id=instance.tenant_id,
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resource_id=resource_id or instance.id,
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resource_metadata=resource_metadata,
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monotonic_time=monotonic_time,
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)
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@ -97,7 +97,10 @@ class SamplePipelineEndpoint(PipelineEndpoint):
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resource_id=s['resource_id'],
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timestamp=s['timestamp'],
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resource_metadata=s['resource_metadata'],
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source=s.get('source'))
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source=s.get('source'),
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# NOTE(sileht): May come from an older node,
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# Put None in this case.
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monotonic_time=s.get('monotonic_time'))
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for s in samples if publisher_utils.verify_signature(
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s, self.conf.publisher.telemetry_secret)
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]
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@ -98,6 +98,7 @@ def meter_message_from_counter(sample, secret):
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'timestamp': sample.timestamp,
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'resource_metadata': sample.resource_metadata,
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'message_id': sample.id,
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'monotonic_time': sample.monotonic_time,
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}
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msg['message_signature'] = compute_signature(msg, secret)
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return msg
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@ -95,7 +95,7 @@ class Sample(object):
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def __init__(self, name, type, unit, volume, user_id, project_id,
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resource_id, timestamp=None, resource_metadata=None,
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source=None, id=None):
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source=None, id=None, monotonic_time=None):
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self.name = name
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self.type = type
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self.unit = unit
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@ -107,6 +107,7 @@ class Sample(object):
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self.resource_metadata = resource_metadata or {}
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self.source = source or self.SOURCE_DEFAULT
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self.id = id or str(uuid.uuid1())
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self.monotonic_time = monotonic_time
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def as_dict(self):
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return copy.copy(self.__dict__)
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@ -143,6 +143,10 @@ class Connection(hbase_base.Connection, base.Connection):
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:param data: a dictionary such as returned by
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ceilometer.publisher.utils.meter_message_from_counter
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"""
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# We must not record thing.
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data.pop("monotonic_time", None)
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with self.conn_pool.connection() as conn:
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resource_table = conn.table(self.RESOURCE_TABLE)
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meter_table = conn.table(self.METER_TABLE)
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@ -259,6 +259,13 @@ class Connection(pymongo_base.Connection):
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# unconditionally insert sample timestamps and resource metadata
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# (in the update case, this must be conditional on the sample not
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# being out-of-order)
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# We must not store this
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samples = copy.deepcopy(samples)
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for sample in samples:
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sample.pop("monotonic_time", None)
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sorted_samples = sorted(
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copy.deepcopy(samples),
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key=lambda s: (s['resource_id'], s['timestamp']))
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@ -80,6 +80,7 @@ class TestPostSamples(v2.FunctionalTest):
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s1[0]['source'] = '%s:openstack' % s1[0]['project_id']
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self.assertEqual(s1, data.json)
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s1[0]["monotonic_time"] = None
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self.assertEqual(s1[0], self.published[0][0])
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def test_nested_metadata(self):
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@ -107,6 +108,7 @@ class TestPostSamples(v2.FunctionalTest):
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unwound['resource_metadata'] = {'nest': {'name1': 'value1',
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'name2': 'value3'},
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'name2': 'value2'}
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unwound["monotonic_time"] = None
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# only the published sample should be unwound, not the representation
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# in the API response
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self.assertEqual(s1[0], data.json[0])
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@ -218,6 +220,7 @@ class TestPostSamples(v2.FunctionalTest):
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msg['timestamp'] = timestamp.replace(tzinfo=None).isoformat()
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self.assertEqual(s, c)
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s["monotonic_time"] = None
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self.assertEqual(s, self.published[0][x])
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def test_missing_mandatory_fields(self):
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@ -278,6 +281,7 @@ class TestPostSamples(v2.FunctionalTest):
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s['timestamp'] = data.json[x]['timestamp']
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s.setdefault('resource_metadata', dict())
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self.assertEqual(s, data.json[x])
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s['monotonic_time'] = None
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self.assertEqual(s, self.published[0][x])
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def test_multiple_samples_multiple_sources(self):
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@ -328,6 +332,7 @@ class TestPostSamples(v2.FunctionalTest):
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s['timestamp'] = data.json[x]['timestamp']
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s.setdefault('resource_metadata', dict())
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self.assertEqual(s, data.json[x])
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s['monotonic_time'] = None
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self.assertEqual(s, self.published[0][x])
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def test_missing_project_user_id(self):
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@ -364,4 +369,6 @@ class TestPostSamples(v2.FunctionalTest):
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s['project_id'] = project_id
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self.assertEqual(s, data.json[x])
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s['monotonic_time'] = None
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self.assertEqual(s, self.published[0][x])
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@ -430,6 +430,7 @@ class RawSampleTest(DBTestBase):
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d = meter.as_dict()
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self.assertTimestampEqual(timeutils.utcnow(), d['recorded_at'])
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del d['recorded_at']
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d['monotonic_time'] = None
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self.assertIn(d, self.msgs[:3])
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def test_get_samples_by_user_limit(self):
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@ -450,6 +451,7 @@ class RawSampleTest(DBTestBase):
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d = meter.as_dict()
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self.assertTimestampEqual(timeutils.utcnow(), d['recorded_at'])
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del d['recorded_at']
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d['monotonic_time'] = None
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self.assertIn(d, self.msgs[:4])
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def test_get_samples_by_resource(self):
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@ -459,6 +461,7 @@ class RawSampleTest(DBTestBase):
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d = results[1].as_dict()
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self.assertEqual(timeutils.utcnow(), d['recorded_at'])
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del d['recorded_at']
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d['monotonic_time'] = None
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self.assertEqual(self.msgs[0], d)
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def test_get_samples_by_metaquery(self):
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@ -470,6 +473,7 @@ class RawSampleTest(DBTestBase):
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d = meter.as_dict()
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self.assertTimestampEqual(timeutils.utcnow(), d['recorded_at'])
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del d['recorded_at']
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d['monotonic_time'] = None
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self.assertIn(d, self.msgs)
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def test_get_samples_by_metaquery_key_with_dot_in_metadata(self):
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@ -721,6 +725,7 @@ class ComplexSampleQueryTest(DBTestBase):
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for sample_item in results:
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d = sample_item.as_dict()
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del d['recorded_at']
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d['monotonic_time'] = None
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self.assertIn(d, self.msgs)
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def test_query_complex_filter_with_regexp(self):
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@ -2787,6 +2792,7 @@ class TestBatchRecordingMetering(tests_db.TestBase):
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for sample_item in results:
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d = sample_item.as_dict()
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del d['recorded_at']
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d['monotonic_time'] = None
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self.assertIn(d, self.sample_dicts)
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resources = list(self.conn.get_resources())
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@ -22,6 +22,7 @@ import unittest
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import fixtures
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import mock
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import monotonic
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from oslo_utils import timeutils
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import six
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from stevedore import extension
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@ -1097,6 +1098,67 @@ class BasePipelineTestCase(base.BaseTestCase):
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pipe.flush()
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self.assertEqual(0, len(publisher.samples))
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def test_rate_of_change_precision(self):
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s = "100.0 / (10**9 * (resource_metadata.cpu_number or 1))"
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transformer_cfg = [
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{
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'name': 'rate_of_change',
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'parameters': {
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'source': {},
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'target': {'name': 'cpu_util',
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'unit': '%',
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'type': sample.TYPE_GAUGE,
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'scale': s}
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}
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},
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]
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self._set_pipeline_cfg('transformers', transformer_cfg)
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self._set_pipeline_cfg('meters', ['cpu'])
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pipeline_manager = pipeline.PipelineManager(
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self.CONF,
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self.cfg2file(self.pipeline_cfg), self.transformer_manager)
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pipe = pipeline_manager.pipelines[0]
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now = timeutils.utcnow()
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now_time = monotonic.monotonic()
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# Simulate a laggy poller
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later = now + datetime.timedelta(seconds=12345)
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later_time = now_time + 10
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counters = [
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sample.Sample(
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name='cpu',
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type=sample.TYPE_CUMULATIVE,
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volume=125000000000,
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unit='ns',
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user_id='test_user',
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project_id='test_proj',
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resource_id='test_resource',
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timestamp=now.isoformat(),
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monotonic_time=now_time,
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resource_metadata={'cpu_number': 4}
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),
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sample.Sample(
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name='cpu',
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type=sample.TYPE_CUMULATIVE,
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volume=165000000000,
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unit='ns',
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user_id='test_user',
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project_id='test_proj',
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resource_id='test_resource',
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timestamp=later.isoformat(),
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monotonic_time=later_time,
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resource_metadata={'cpu_number': 4}
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),
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]
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pipe.publish_data(counters)
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publisher = pipe.publishers[0]
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self.assertEqual(1, len(publisher.samples))
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cpu_util_sample = publisher.samples[0]
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self.assertEqual(100, cpu_util_sample.volume)
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def test_rate_of_change_max(self):
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s = "100.0 / (10**9 * (resource_metadata.cpu_number or 1))"
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transformer_cfg = [
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@ -187,12 +187,18 @@ class RateOfChangeTransformer(ScalingTransformer):
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key = s.name + s.resource_id
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prev = self.cache.get(key)
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timestamp = timeutils.parse_isotime(s.timestamp)
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self.cache[key] = (s.volume, timestamp)
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self.cache[key] = (s.volume, timestamp, s.monotonic_time)
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if prev:
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prev_volume = prev[0]
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prev_timestamp = prev[1]
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time_delta = timeutils.delta_seconds(prev_timestamp, timestamp)
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prev_monotonic_time = prev[2]
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if (prev_monotonic_time is not None and
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s.monotonic_time is not None):
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# NOTE(sileht): Prefer high precision timer
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time_delta = s.monotonic_time - prev_monotonic_time
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else:
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time_delta = timeutils.delta_seconds(prev_timestamp, timestamp)
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# disallow violations of the arrow of time
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if time_delta < 0:
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LOG.warning(_('dropping out of time order sample: %s'), (s,))
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@ -12,6 +12,7 @@ jsonschema!=2.5.0,<3.0.0,>=2.0.0 # MIT
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kafka-python>=1.3.2 # Apache-2.0
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keystonemiddleware!=4.1.0,>=4.0.0 # Apache-2.0
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lxml>=2.3 # BSD
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monotonic
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msgpack-python>=0.4.0 # Apache-2.0
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oslo.concurrency>=3.5.0 # Apache-2.0
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oslo.config>=3.22.0 # Apache-2.0
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