aodh/ceilometer/tests/pipeline_base.py
gordon chung 7dc164bc5d add event pipeline
this patch adds base framework for a new event pipeline manager
to allow developers/operators ability to transform and trigger
incoming notifications similar to how pipeline manager works for
samples.

Change-Id: I607763213d9bf0121bf4182e236335546a1222f8
Implements: blueprint notification-pipelines
2015-01-26 10:49:13 -05:00

1799 lines
71 KiB
Python

# -*- coding: utf-8 -*-
#
# Copyright 2013 Intel Corp.
#
# Authors: Yunhong Jiang <yunhong.jiang@intel.com>
# Julien Danjou <julien@danjou.info>
#
# 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.
import abc
import datetime
import traceback
import mock
from oslo_utils import timeutils
from oslotest import base
from oslotest import mockpatch
import six
from stevedore import extension
from ceilometer import pipeline
from ceilometer import publisher
from ceilometer.publisher import test as test_publisher
from ceilometer import sample
from ceilometer import transformer
from ceilometer.transformer import accumulator
from ceilometer.transformer import arithmetic
from ceilometer.transformer import conversions
@six.add_metaclass(abc.ABCMeta)
class BasePipelineTestCase(base.BaseTestCase):
@staticmethod
def fake_tem_init():
"""Fake a transformerManager for pipeline.
The faked entry point setting is below:
update: TransformerClass
except: TransformerClassException
drop: TransformerClassDrop
"""
pass
def fake_tem_get_ext(self, name):
class_name_ext = {
'update': self.TransformerClass,
'except': self.TransformerClassException,
'drop': self.TransformerClassDrop,
'cache': accumulator.TransformerAccumulator,
'aggregator': conversions.AggregatorTransformer,
'unit_conversion': conversions.ScalingTransformer,
'rate_of_change': conversions.RateOfChangeTransformer,
'arithmetic': arithmetic.ArithmeticTransformer,
}
if name in class_name_ext:
return extension.Extension(name, None,
class_name_ext[name],
None,
)
raise KeyError(name)
def get_publisher(self, url, namespace=''):
fake_drivers = {'test://': test_publisher.TestPublisher,
'new://': test_publisher.TestPublisher,
'except://': self.PublisherClassException}
return fake_drivers[url](url)
class PublisherClassException(publisher.PublisherBase):
def publish_samples(self, ctxt, samples):
raise Exception()
def publish_events(self, ctxt, events):
raise Exception()
class TransformerClass(transformer.TransformerBase):
samples = []
def __init__(self, append_name='_update'):
self.__class__.samples = []
self.append_name = append_name
def flush(self, ctxt):
return []
def handle_sample(self, ctxt, counter):
self.__class__.samples.append(counter)
newname = getattr(counter, 'name') + self.append_name
return sample.Sample(
name=newname,
type=counter.type,
volume=counter.volume,
unit=counter.unit,
user_id=counter.user_id,
project_id=counter.project_id,
resource_id=counter.resource_id,
timestamp=counter.timestamp,
resource_metadata=counter.resource_metadata,
)
class TransformerClassDrop(transformer.TransformerBase):
samples = []
def __init__(self):
self.__class__.samples = []
def handle_sample(self, ctxt, counter):
self.__class__.samples.append(counter)
class TransformerClassException(object):
@staticmethod
def handle_sample(ctxt, counter):
raise Exception()
def setUp(self):
super(BasePipelineTestCase, self).setUp()
self.test_counter = sample.Sample(
name='a',
type=sample.TYPE_GAUGE,
volume=1,
unit='B',
user_id="test_user",
project_id="test_proj",
resource_id="test_resource",
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={}
)
self.useFixture(mockpatch.PatchObject(
transformer.TransformerExtensionManager, "__init__",
side_effect=self.fake_tem_init))
self.useFixture(mockpatch.PatchObject(
transformer.TransformerExtensionManager, "get_ext",
side_effect=self.fake_tem_get_ext))
self.useFixture(mockpatch.PatchObject(
publisher, 'get_publisher', side_effect=self.get_publisher))
self.transformer_manager = transformer.TransformerExtensionManager()
self._setup_pipeline_cfg()
self._reraise_exception = True
self.useFixture(mockpatch.Patch(
'ceilometer.pipeline.LOG.exception',
side_effect=self._handle_reraise_exception))
def _handle_reraise_exception(self, msg):
if self._reraise_exception:
raise Exception(traceback.format_exc())
@abc.abstractmethod
def _setup_pipeline_cfg(self):
"""Setup the appropriate form of pipeline config."""
@abc.abstractmethod
def _augment_pipeline_cfg(self):
"""Augment the pipeline config with an additional element."""
@abc.abstractmethod
def _break_pipeline_cfg(self):
"""Break the pipeline config with a malformed element."""
@abc.abstractmethod
def _dup_pipeline_name_cfg(self):
"""Break the pipeline config with duplicate pipeline name."""
@abc.abstractmethod
def _set_pipeline_cfg(self, field, value):
"""Set a field to a value in the pipeline config."""
@abc.abstractmethod
def _extend_pipeline_cfg(self, field, value):
"""Extend an existing field in the pipeline config with a value."""
@abc.abstractmethod
def _unset_pipeline_cfg(self, field):
"""Clear an existing field in the pipeline config."""
def _exception_create_pipelinemanager(self):
self.assertRaises(pipeline.PipelineException,
pipeline.PipelineManager,
self.pipeline_cfg,
self.transformer_manager)
def test_no_counters(self):
self._unset_pipeline_cfg('counters')
self._exception_create_pipelinemanager()
def test_no_transformers(self):
self._unset_pipeline_cfg('transformers')
pipeline.PipelineManager(self.pipeline_cfg, self.transformer_manager)
def test_no_name(self):
self._unset_pipeline_cfg('name')
self._exception_create_pipelinemanager()
def test_no_interval(self):
self._unset_pipeline_cfg('interval')
self._exception_create_pipelinemanager()
def test_no_publishers(self):
self._unset_pipeline_cfg('publishers')
self._exception_create_pipelinemanager()
def test_invalid_resources(self):
invalid_resource = {'invalid': 1}
self._set_pipeline_cfg('resources', invalid_resource)
self._exception_create_pipelinemanager()
def test_check_counters_include_exclude_same(self):
counter_cfg = ['a', '!a']
self._set_pipeline_cfg('counters', counter_cfg)
self._exception_create_pipelinemanager()
def test_check_counters_include_exclude(self):
counter_cfg = ['a', '!b']
self._set_pipeline_cfg('counters', counter_cfg)
self._exception_create_pipelinemanager()
def test_check_counters_wildcard_included(self):
counter_cfg = ['a', '*']
self._set_pipeline_cfg('counters', counter_cfg)
self._exception_create_pipelinemanager()
def test_check_publishers_invalid_publisher(self):
publisher_cfg = ['test_invalid']
self._set_pipeline_cfg('publishers', publisher_cfg)
def test_invalid_string_interval(self):
self._set_pipeline_cfg('interval', 'string')
self._exception_create_pipelinemanager()
def test_check_transformer_invalid_transformer(self):
transformer_cfg = [
{'name': "test_invalid",
'parameters': {}}
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._exception_create_pipelinemanager()
def test_get_interval(self):
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
self.assertEqual(5, pipe.get_interval())
def test_publisher_transformer_invoked(self):
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, len(self.TransformerClass.samples))
self.assertEqual('a_update', getattr(publisher.samples[0], "name"))
self.assertEqual('a',
getattr(self.TransformerClass.samples[0], "name"))
def test_multiple_included_counters(self):
counter_cfg = ['a', 'b']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.test_counter = sample.Sample(
name='b',
type=self.test_counter.type,
volume=self.test_counter.volume,
unit=self.test_counter.unit,
user_id=self.test_counter.user_id,
project_id=self.test_counter.project_id,
resource_id=self.test_counter.resource_id,
timestamp=self.test_counter.timestamp,
resource_metadata=self.test_counter.resource_metadata,
)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
self.assertEqual(2, len(publisher.samples))
self.assertEqual(2, len(self.TransformerClass.samples))
self.assertEqual('a_update', getattr(publisher.samples[0], "name"))
self.assertEqual('b_update', getattr(publisher.samples[1], "name"))
def test_counter_dont_match(self):
counter_cfg = ['nomatch']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
self.assertEqual(0, publisher.calls)
def test_wildcard_counter(self):
counter_cfg = ['*']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, len(self.TransformerClass.samples))
self.assertEqual('a_update', getattr(publisher.samples[0], "name"))
def test_wildcard_excluded_counters(self):
counter_cfg = ['*', '!a']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.assertFalse(pipeline_manager.pipelines[0].support_meter('a'))
def test_wildcard_excluded_counters_not_excluded(self):
counter_cfg = ['*', '!b']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, len(self.TransformerClass.samples))
self.assertEqual('a_update', getattr(publisher.samples[0], "name"))
def test_all_excluded_counters_not_excluded(self):
counter_cfg = ['!b', '!c']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, len(self.TransformerClass.samples))
self.assertEqual('a_update', getattr(publisher.samples[0], "name"))
self.assertEqual('a',
getattr(self.TransformerClass.samples[0], "name"))
def test_all_excluded_counters_is_excluded(self):
counter_cfg = ['!a', '!c']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.assertFalse(pipeline_manager.pipelines[0].support_meter('a'))
self.assertTrue(pipeline_manager.pipelines[0].support_meter('b'))
self.assertFalse(pipeline_manager.pipelines[0].support_meter('c'))
def test_wildcard_and_excluded_wildcard_counters(self):
counter_cfg = ['*', '!disk.*']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.assertFalse(pipeline_manager.pipelines[0].
support_meter('disk.read.bytes'))
self.assertTrue(pipeline_manager.pipelines[0].support_meter('cpu'))
def test_included_counter_and_wildcard_counters(self):
counter_cfg = ['cpu', 'disk.*']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.assertTrue(pipeline_manager.pipelines[0].
support_meter('disk.read.bytes'))
self.assertTrue(pipeline_manager.pipelines[0].support_meter('cpu'))
self.assertFalse(pipeline_manager.pipelines[0].
support_meter('instance'))
def test_excluded_counter_and_excluded_wildcard_counters(self):
counter_cfg = ['!cpu', '!disk.*']
self._set_pipeline_cfg('counters', counter_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.assertFalse(pipeline_manager.pipelines[0].
support_meter('disk.read.bytes'))
self.assertFalse(pipeline_manager.pipelines[0].support_meter('cpu'))
self.assertTrue(pipeline_manager.pipelines[0].
support_meter('instance'))
def test_multiple_pipeline(self):
self._augment_pipeline_cfg()
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
self.test_counter = sample.Sample(
name='b',
type=self.test_counter.type,
volume=self.test_counter.volume,
unit=self.test_counter.unit,
user_id=self.test_counter.user_id,
project_id=self.test_counter.project_id,
resource_id=self.test_counter.resource_id,
timestamp=self.test_counter.timestamp,
resource_metadata=self.test_counter.resource_metadata,
)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, publisher.calls)
self.assertEqual('a_update', getattr(publisher.samples[0], "name"))
new_publisher = pipeline_manager.pipelines[1].publishers[0]
self.assertEqual(1, len(new_publisher.samples))
self.assertEqual(1, new_publisher.calls)
self.assertEqual('b_new', getattr(new_publisher.samples[0], "name"))
self.assertEqual(2, len(self.TransformerClass.samples))
self.assertEqual('a',
getattr(self.TransformerClass.samples[0], "name"))
self.assertEqual('b',
getattr(self.TransformerClass.samples[1], "name"))
def test_multiple_pipeline_exception(self):
self._reraise_exception = False
self._break_pipeline_cfg()
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
self.test_counter = sample.Sample(
name='b',
type=self.test_counter.type,
volume=self.test_counter.volume,
unit=self.test_counter.unit,
user_id=self.test_counter.user_id,
project_id=self.test_counter.project_id,
resource_id=self.test_counter.resource_id,
timestamp=self.test_counter.timestamp,
resource_metadata=self.test_counter.resource_metadata,
)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, publisher.calls)
self.assertEqual(1, len(publisher.samples))
self.assertEqual('a_update', getattr(publisher.samples[0], "name"))
self.assertEqual(2, len(self.TransformerClass.samples))
self.assertEqual('a',
getattr(self.TransformerClass.samples[0], "name"))
self.assertEqual('b',
getattr(self.TransformerClass.samples[1], "name"))
def test_none_transformer_pipeline(self):
self._set_pipeline_cfg('transformers', None)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, publisher.calls)
self.assertEqual('a', getattr(publisher.samples[0], 'name'))
def test_empty_transformer_pipeline(self):
self._set_pipeline_cfg('transformers', [])
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, publisher.calls)
self.assertEqual('a', getattr(publisher.samples[0], 'name'))
def test_multiple_transformer_same_class(self):
transformer_cfg = [
{
'name': 'update',
'parameters': {}
},
{
'name': 'update',
'parameters': {}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, publisher.calls)
self.assertEqual(1, len(publisher.samples))
self.assertEqual('a_update_update',
getattr(publisher.samples[0], 'name'))
self.assertEqual(2, len(self.TransformerClass.samples))
self.assertEqual('a',
getattr(self.TransformerClass.samples[0], 'name'))
self.assertEqual('a_update',
getattr(self.TransformerClass.samples[1], 'name'))
def test_multiple_transformer_same_class_different_parameter(self):
transformer_cfg = [
{
'name': 'update',
'parameters':
{
"append_name": "_update",
}
},
{
'name': 'update',
'parameters':
{
"append_name": "_new",
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
self.assertEqual(2, len(self.TransformerClass.samples))
self.assertEqual('a',
getattr(self.TransformerClass.samples[0], 'name'))
self.assertEqual('a_update',
getattr(self.TransformerClass.samples[1], 'name'))
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1,
len(publisher.samples))
self.assertEqual('a_update_new',
getattr(publisher.samples[0], 'name'))
def test_multiple_transformer_drop_transformer(self):
transformer_cfg = [
{
'name': 'update',
'parameters':
{
"append_name": "_update",
}
},
{
'name': 'drop',
'parameters': {}
},
{
'name': 'update',
'parameters':
{
"append_name": "_new",
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
self.assertEqual(1, len(self.TransformerClass.samples))
self.assertEqual('a',
getattr(self.TransformerClass.samples[0], 'name'))
self.assertEqual(1,
len(self.TransformerClassDrop.samples))
self.assertEqual('a_update',
getattr(self.TransformerClassDrop.samples[0], 'name'))
def test_multiple_publisher(self):
self._set_pipeline_cfg('publishers', ['test://', 'new://'])
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
new_publisher = pipeline_manager.pipelines[0].publishers[1]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, len(new_publisher.samples))
self.assertEqual('a_update',
getattr(new_publisher.samples[0], 'name'))
self.assertEqual('a_update',
getattr(publisher.samples[0], 'name'))
def test_multiple_publisher_isolation(self):
self._reraise_exception = False
self._set_pipeline_cfg('publishers', ['except://', 'new://'])
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
new_publisher = pipeline_manager.pipelines[0].publishers[1]
self.assertEqual(1, len(new_publisher.samples))
self.assertEqual('a_update',
getattr(new_publisher.samples[0], 'name'))
def test_multiple_counter_pipeline(self):
self._set_pipeline_cfg('counters', ['a', 'b'])
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter,
sample.Sample(
name='b',
type=self.test_counter.type,
volume=self.test_counter.volume,
unit=self.test_counter.unit,
user_id=self.test_counter.user_id,
project_id=self.test_counter.project_id,
resource_id=self.test_counter.resource_id,
timestamp=self.test_counter.timestamp,
resource_metadata=self.test_counter.resource_metadata,
)])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(2, len(publisher.samples))
self.assertEqual('a_update', getattr(publisher.samples[0], 'name'))
self.assertEqual('b_update', getattr(publisher.samples[1], 'name'))
def test_flush_pipeline_cache(self):
CACHE_SIZE = 10
extra_transformer_cfg = [
{
'name': 'cache',
'parameters': {
'size': CACHE_SIZE,
}
},
{
'name': 'update',
'parameters':
{
'append_name': '_new'
}
},
]
self._extend_pipeline_cfg('transformers', extra_transformer_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, self.test_counter)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
pipe.flush(None)
self.assertEqual(0, len(publisher.samples))
pipe.publish_data(None, self.test_counter)
pipe.flush(None)
self.assertEqual(0, len(publisher.samples))
for i in range(CACHE_SIZE - 2):
pipe.publish_data(None, self.test_counter)
pipe.flush(None)
self.assertEqual(CACHE_SIZE, len(publisher.samples))
self.assertEqual('a_update_new', getattr(publisher.samples[0], 'name'))
def test_flush_pipeline_cache_multiple_counter(self):
CACHE_SIZE = 3
extra_transformer_cfg = [
{
'name': 'cache',
'parameters': {
'size': CACHE_SIZE
}
},
{
'name': 'update',
'parameters':
{
'append_name': '_new'
}
},
]
self._extend_pipeline_cfg('transformers', extra_transformer_cfg)
self._set_pipeline_cfg('counters', ['a', 'b'])
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter,
sample.Sample(
name='b',
type=self.test_counter.type,
volume=self.test_counter.volume,
unit=self.test_counter.unit,
user_id=self.test_counter.user_id,
project_id=self.test_counter.project_id,
resource_id=self.test_counter.resource_id,
timestamp=self.test_counter.timestamp,
resource_metadata=self.test_counter.resource_metadata,
)])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
self.assertEqual(CACHE_SIZE, len(publisher.samples))
self.assertEqual('a_update_new',
getattr(publisher.samples[0], 'name'))
self.assertEqual('b_update_new',
getattr(publisher.samples[1], 'name'))
def test_flush_pipeline_cache_before_publisher(self):
extra_transformer_cfg = [{
'name': 'cache',
'parameters': {}
}]
self._extend_pipeline_cfg('transformers', extra_transformer_cfg)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
publisher = pipe.publishers[0]
pipe.publish_data(None, self.test_counter)
self.assertEqual(0, len(publisher.samples))
pipe.flush(None)
self.assertEqual(1, len(publisher.samples))
self.assertEqual('a_update',
getattr(publisher.samples[0], 'name'))
def test_variable_counter(self):
self.pipeline_cfg = [{
'name': "test_pipeline",
'interval': 5,
'counters': ['a:*'],
'transformers': [
{'name': "update",
'parameters': {}}
],
'publishers': ["test://"],
}, ]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.test_counter = sample.Sample(
name='a:b',
type=self.test_counter.type,
volume=self.test_counter.volume,
unit=self.test_counter.unit,
user_id=self.test_counter.user_id,
project_id=self.test_counter.project_id,
resource_id=self.test_counter.resource_id,
timestamp=self.test_counter.timestamp,
resource_metadata=self.test_counter.resource_metadata,
)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1, len(self.TransformerClass.samples))
self.assertEqual('a:b_update',
getattr(publisher.samples[0], "name"))
self.assertEqual('a:b',
getattr(self.TransformerClass.samples[0], "name"))
def test_global_unit_conversion(self):
scale = 'volume / ((10**6) * 60)'
transformer_cfg = [
{
'name': 'unit_conversion',
'parameters': {
'source': {},
'target': {'name': 'cpu_mins',
'unit': 'min',
'scale': scale},
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['cpu'])
counters = [
sample.Sample(
name='cpu',
type=sample.TYPE_CUMULATIVE,
volume=1200000000,
unit='ns',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={}
),
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
pipe.flush(None)
self.assertEqual(1, len(publisher.samples))
cpu_mins = publisher.samples[-1]
self.assertEqual('cpu_mins', getattr(cpu_mins, 'name'))
self.assertEqual('min', getattr(cpu_mins, 'unit'))
self.assertEqual(sample.TYPE_CUMULATIVE, getattr(cpu_mins, 'type'))
self.assertEqual(20, getattr(cpu_mins, 'volume'))
def test_unit_identified_source_unit_conversion(self):
transformer_cfg = [
{
'name': 'unit_conversion',
'parameters': {
'source': {'unit': '°C'},
'target': {'unit': '°F',
'scale': '(volume * 1.8) + 32'},
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['core_temperature',
'ambient_temperature'])
counters = [
sample.Sample(
name='core_temperature',
type=sample.TYPE_GAUGE,
volume=36.0,
unit='°C',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={}
),
sample.Sample(
name='ambient_temperature',
type=sample.TYPE_GAUGE,
volume=88.8,
unit='°F',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={}
),
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(2, len(publisher.samples))
core_temp = publisher.samples[0]
self.assertEqual('core_temperature', getattr(core_temp, 'name'))
self.assertEqual('°F', getattr(core_temp, 'unit'))
self.assertEqual(96.8, getattr(core_temp, 'volume'))
amb_temp = publisher.samples[1]
self.assertEqual('ambient_temperature', getattr(amb_temp, 'name'))
self.assertEqual('°F', getattr(amb_temp, 'unit'))
self.assertEqual(88.8, getattr(amb_temp, 'volume'))
self.assertEqual(96.8, getattr(core_temp, 'volume'))
def _do_test_rate_of_change_conversion(self, prev, curr, type, expected,
offset=1, weight=None):
s = ("(resource_metadata.user_metadata.autoscaling_weight or 1.0)"
"* (resource_metadata.non.existent or 1.0)"
"* (100.0 / (10**9 * (resource_metadata.cpu_number or 1)))")
transformer_cfg = [
{
'name': 'rate_of_change',
'parameters': {
'source': {},
'target': {'name': 'cpu_util',
'unit': '%',
'type': sample.TYPE_GAUGE,
'scale': s},
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['cpu'])
now = timeutils.utcnow()
later = now + datetime.timedelta(minutes=offset)
um = {'autoscaling_weight': weight} if weight else {}
counters = [
sample.Sample(
name='cpu',
type=type,
volume=prev,
unit='ns',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=now.isoformat(),
resource_metadata={'cpu_number': 4,
'user_metadata': um},
),
sample.Sample(
name='cpu',
type=type,
volume=prev,
unit='ns',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource2',
timestamp=now.isoformat(),
resource_metadata={'cpu_number': 2,
'user_metadata': um},
),
sample.Sample(
name='cpu',
type=type,
volume=curr,
unit='ns',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=later.isoformat(),
resource_metadata={'cpu_number': 4,
'user_metadata': um},
),
sample.Sample(
name='cpu',
type=type,
volume=curr,
unit='ns',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource2',
timestamp=later.isoformat(),
resource_metadata={'cpu_number': 2,
'user_metadata': um},
),
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(2, len(publisher.samples))
pipe.flush(None)
self.assertEqual(2, len(publisher.samples))
cpu_util = publisher.samples[0]
self.assertEqual('cpu_util', getattr(cpu_util, 'name'))
self.assertEqual('test_resource', getattr(cpu_util, 'resource_id'))
self.assertEqual('%', getattr(cpu_util, 'unit'))
self.assertEqual(sample.TYPE_GAUGE, getattr(cpu_util, 'type'))
self.assertEqual(expected, getattr(cpu_util, 'volume'))
cpu_util = publisher.samples[1]
self.assertEqual('cpu_util', getattr(cpu_util, 'name'))
self.assertEqual('test_resource2', getattr(cpu_util, 'resource_id'))
self.assertEqual('%', getattr(cpu_util, 'unit'))
self.assertEqual(sample.TYPE_GAUGE, getattr(cpu_util, 'type'))
self.assertEqual(expected * 2, getattr(cpu_util, 'volume'))
def test_rate_of_change_conversion(self):
self._do_test_rate_of_change_conversion(120000000000,
180000000000,
sample.TYPE_CUMULATIVE,
25.0)
def test_rate_of_change_conversion_weight(self):
self._do_test_rate_of_change_conversion(120000000000,
180000000000,
sample.TYPE_CUMULATIVE,
27.5,
weight=1.1)
def test_rate_of_change_conversion_negative_cumulative_delta(self):
self._do_test_rate_of_change_conversion(180000000000,
120000000000,
sample.TYPE_CUMULATIVE,
50.0)
def test_rate_of_change_conversion_negative_gauge_delta(self):
self._do_test_rate_of_change_conversion(180000000000,
120000000000,
sample.TYPE_GAUGE,
-25.0)
def test_rate_of_change_conversion_zero_delay(self):
self._do_test_rate_of_change_conversion(120000000000,
120000000000,
sample.TYPE_CUMULATIVE,
0.0,
offset=0)
def test_rate_of_change_no_predecessor(self):
s = "100.0 / (10**9 * resource_metadata.get('cpu_number', 1))"
transformer_cfg = [
{
'name': 'rate_of_change',
'parameters': {
'source': {},
'target': {'name': 'cpu_util',
'unit': '%',
'type': sample.TYPE_GAUGE,
'scale': s}
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('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]
pipe.publish_data(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
pipe.flush(None)
self.assertEqual(0, len(publisher.samples))
def test_resources(self):
resources = ['test1://', 'test2://']
self._set_pipeline_cfg('resources', resources)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.assertEqual(resources,
pipeline_manager.pipelines[0].resources)
def test_no_resources(self):
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
self.assertEqual(0, len(pipeline_manager.pipelines[0].resources))
def _do_test_rate_of_change_mapping(self, pipe, meters, units):
now = timeutils.utcnow()
base = 1000
offset = 7
rate = 42
later = now + datetime.timedelta(minutes=offset)
counters = []
for v, ts in [(base, now.isoformat()),
(base + (offset * 60 * rate), later.isoformat())]:
for n, u, r in [(meters[0], units[0], 'resource1'),
(meters[1], units[1], 'resource2')]:
s = sample.Sample(
name=n,
type=sample.TYPE_CUMULATIVE,
volume=v,
unit=u,
user_id='test_user',
project_id='test_proj',
resource_id=r,
timestamp=ts,
resource_metadata={},
)
counters.append(s)
pipe.publish_data(None, counters)
publisher = pipe.publishers[0]
self.assertEqual(2, len(publisher.samples))
pipe.flush(None)
self.assertEqual(2, len(publisher.samples))
bps = publisher.samples[0]
self.assertEqual('%s.rate' % meters[0], getattr(bps, 'name'))
self.assertEqual('resource1', getattr(bps, 'resource_id'))
self.assertEqual('%s/s' % units[0], getattr(bps, 'unit'))
self.assertEqual(sample.TYPE_GAUGE, getattr(bps, 'type'))
self.assertEqual(rate, getattr(bps, 'volume'))
rps = publisher.samples[1]
self.assertEqual('%s.rate' % meters[1], getattr(rps, 'name'))
self.assertEqual('resource2', getattr(rps, 'resource_id'))
self.assertEqual('%s/s' % units[1], getattr(rps, 'unit'))
self.assertEqual(sample.TYPE_GAUGE, getattr(rps, 'type'))
self.assertEqual(rate, getattr(rps, 'volume'))
def test_rate_of_change_mapping(self):
map_from = {'name': 'disk\\.(read|write)\\.(bytes|requests)',
'unit': '(B|request)'}
map_to = {'name': 'disk.\\1.\\2.rate',
'unit': '\\1/s'}
transformer_cfg = [
{
'name': 'rate_of_change',
'parameters': {
'source': {
'map_from': map_from
},
'target': {
'map_to': map_to,
'type': sample.TYPE_GAUGE
},
},
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['disk.read.bytes',
'disk.write.requests'])
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
meters = ('disk.read.bytes', 'disk.write.requests')
units = ('B', 'request')
self._do_test_rate_of_change_mapping(pipe, meters, units)
def _do_test_aggregator(self, parameters, expected_length):
transformer_cfg = [
{
'name': 'aggregator',
'parameters': parameters,
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['storage.objects.incoming.bytes'])
counters = [
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=26,
unit='B',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '1.0'}
),
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=16,
unit='B',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '2.0'}
),
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=53,
unit='B',
user_id='test_user_bis',
project_id='test_proj_bis',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '1.0'}
),
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=42,
unit='B',
user_id='test_user_bis',
project_id='test_proj_bis',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '2.0'}
),
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=15,
unit='B',
user_id='test_user',
project_id='test_proj_bis',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '2.0'}
),
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=2,
unit='B',
user_id='test_user_bis',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '3.0'}
),
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, counters)
pipe.flush(None)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(expected_length, len(publisher.samples))
return sorted(publisher.samples, key=lambda s: s.volume)
def test_aggregator_meter_type(self):
volumes = [1.0, 2.0, 3.0]
transformer_cfg = [
{
'name': 'aggregator',
'parameters': {'size': len(volumes) * len(sample.TYPES)}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters',
['testgauge', 'testcumulative', 'testdelta'])
counters = []
for sample_type in sample.TYPES:
for volume in volumes:
counters.append(sample.Sample(
name='test' + sample_type,
type=sample_type,
volume=volume,
unit='B',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '1.0'}
))
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, counters)
pipe.flush(None)
publisher = pipeline_manager.pipelines[0].publishers[0]
actual = sorted(s.volume for s in publisher.samples)
self.assertEqual([2.0, 3.0, 6.0], actual)
def test_aggregator_input_validation(self):
aggregator = conversions.AggregatorTransformer("1", "15", None,
None, None)
self.assertEqual(1, aggregator.size)
self.assertEqual(15, aggregator.retention_time)
self.assertRaises(ValueError, conversions.AggregatorTransformer,
"abc", "cde", None, None, None)
def test_aggregator_metadata(self):
for conf, expected_version in [('last', '2.0'), ('first', '1.0')]:
samples = self._do_test_aggregator({
'resource_metadata': conf,
'target': {'name': 'aggregated-bytes'}
}, expected_length=4)
s = samples[0]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(2, s.volume)
self.assertEqual('test_user_bis', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': '3.0'},
s.resource_metadata)
s = samples[1]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(15, s.volume)
self.assertEqual('test_user', s.user_id)
self.assertEqual('test_proj_bis', s.project_id)
self.assertEqual({'version': '2.0'},
s.resource_metadata)
s = samples[2]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(42, s.volume)
self.assertEqual('test_user', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': expected_version},
s.resource_metadata)
s = samples[3]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(95, s.volume)
self.assertEqual('test_user_bis', s.user_id)
self.assertEqual('test_proj_bis', s.project_id)
self.assertEqual({'version': expected_version},
s.resource_metadata)
def test_aggregator_user_last_and_metadata_last(self):
samples = self._do_test_aggregator({
'resource_metadata': 'last',
'user_id': 'last',
'target': {'name': 'aggregated-bytes'}
}, expected_length=2)
s = samples[0]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(44, s.volume)
self.assertEqual('test_user_bis', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': '3.0'},
s.resource_metadata)
s = samples[1]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(110, s.volume)
self.assertEqual('test_user', s.user_id)
self.assertEqual('test_proj_bis', s.project_id)
self.assertEqual({'version': '2.0'},
s.resource_metadata)
def test_aggregator_user_first_and_metadata_last(self):
samples = self._do_test_aggregator({
'resource_metadata': 'last',
'user_id': 'first',
'target': {'name': 'aggregated-bytes'}
}, expected_length=2)
s = samples[0]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(44, s.volume)
self.assertEqual('test_user', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': '3.0'},
s.resource_metadata)
s = samples[1]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(110, s.volume)
self.assertEqual('test_user_bis', s.user_id)
self.assertEqual('test_proj_bis', s.project_id)
self.assertEqual({'version': '2.0'},
s.resource_metadata)
def test_aggregator_all_first(self):
samples = self._do_test_aggregator({
'resource_metadata': 'first',
'user_id': 'first',
'project_id': 'first',
'target': {'name': 'aggregated-bytes'}
}, expected_length=1)
s = samples[0]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(154, s.volume)
self.assertEqual('test_user', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': '1.0'},
s.resource_metadata)
def test_aggregator_all_last(self):
samples = self._do_test_aggregator({
'resource_metadata': 'last',
'user_id': 'last',
'project_id': 'last',
'target': {'name': 'aggregated-bytes'}
}, expected_length=1)
s = samples[0]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(154, s.volume)
self.assertEqual('test_user_bis', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': '3.0'},
s.resource_metadata)
def test_aggregator_all_mixed(self):
samples = self._do_test_aggregator({
'resource_metadata': 'drop',
'user_id': 'first',
'project_id': 'last',
'target': {'name': 'aggregated-bytes'}
}, expected_length=1)
s = samples[0]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(154, s.volume)
self.assertEqual('test_user', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({}, s.resource_metadata)
def test_aggregator_metadata_default(self):
samples = self._do_test_aggregator({
'user_id': 'last',
'project_id': 'last',
'target': {'name': 'aggregated-bytes'}
}, expected_length=1)
s = samples[0]
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(154, s.volume)
self.assertEqual('test_user_bis', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': '3.0'},
s.resource_metadata)
@mock.patch('ceilometer.transformer.conversions.LOG')
def test_aggregator_metadata_invalid(self, mylog):
samples = self._do_test_aggregator({
'resource_metadata': 'invalid',
'user_id': 'last',
'project_id': 'last',
'target': {'name': 'aggregated-bytes'}
}, expected_length=1)
s = samples[0]
self.assertTrue(mylog.warn.called)
self.assertEqual('aggregated-bytes', s.name)
self.assertEqual(154, s.volume)
self.assertEqual('test_user_bis', s.user_id)
self.assertEqual('test_proj', s.project_id)
self.assertEqual({'version': '3.0'},
s.resource_metadata)
def test_aggregator_sized_flush(self):
transformer_cfg = [
{
'name': 'aggregator',
'parameters': {'size': 2},
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['storage.objects.incoming.bytes'])
counters = [
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=26,
unit='B',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '1.0'}
),
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=16,
unit='B',
user_id='test_user_bis',
project_id='test_proj_bis',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '2.0'}
)
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, [counters[0]])
pipe.flush(None)
publisher = pipe.publishers[0]
self.assertEqual(0, len(publisher.samples))
pipe.publish_data(None, [counters[1]])
pipe.flush(None)
publisher = pipe.publishers[0]
self.assertEqual(2, len(publisher.samples))
def test_aggregator_timed_flush(self):
timeutils.set_time_override()
transformer_cfg = [
{
'name': 'aggregator',
'parameters': {'size': 900, 'retention_time': 60},
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['storage.objects.incoming.bytes'])
counters = [
sample.Sample(
name='storage.objects.incoming.bytes',
type=sample.TYPE_DELTA,
volume=26,
unit='B',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '1.0'}
),
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, counters)
pipe.flush(None)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
timeutils.advance_time_seconds(120)
pipe.flush(None)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(1, len(publisher.samples))
def test_aggregator_without_authentication(self):
transformer_cfg = [
{
'name': 'aggregator',
'parameters': {'size': 2},
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['storage.objects.outgoing.bytes'])
counters = [
sample.Sample(
name='storage.objects.outgoing.bytes',
type=sample.TYPE_DELTA,
volume=26,
unit='B',
user_id=None,
project_id=None,
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '1.0'}
),
sample.Sample(
name='storage.objects.outgoing.bytes',
type=sample.TYPE_DELTA,
volume=16,
unit='B',
user_id=None,
project_id=None,
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata={'version': '2.0'}
)
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, [counters[0]])
pipe.flush(None)
publisher = pipe.publishers[0]
self.assertEqual(0, len(publisher.samples))
pipe.publish_data(None, [counters[1]])
pipe.flush(None)
publisher = pipe.publishers[0]
self.assertEqual(1, len(publisher.samples))
self.assertEqual(42, getattr(publisher.samples[0], 'volume'))
self.assertEqual("test_resource", getattr(publisher.samples[0],
'resource_id'))
def _do_test_arithmetic_expr_parse(self, expr, expected):
actual = arithmetic.ArithmeticTransformer.parse_expr(expr)
self.assertEqual(expected, actual)
def test_arithmetic_expr_parse(self):
expr = '$(cpu) + $(cpu.util)'
expected = ('cpu.volume + _cpu_util_ESC.volume',
{
'cpu': 'cpu',
'cpu.util': '_cpu_util_ESC'
})
self._do_test_arithmetic_expr_parse(expr, expected)
def test_arithmetic_expr_parse_parameter(self):
expr = '$(cpu) + $(cpu.util).resource_metadata'
expected = ('cpu.volume + _cpu_util_ESC.resource_metadata',
{
'cpu': 'cpu',
'cpu.util': '_cpu_util_ESC'
})
self._do_test_arithmetic_expr_parse(expr, expected)
def test_arithmetic_expr_parse_reserved_keyword(self):
expr = '$(class) + $(cpu.util)'
expected = ('_class_ESC.volume + _cpu_util_ESC.volume',
{
'class': '_class_ESC',
'cpu.util': '_cpu_util_ESC'
})
self._do_test_arithmetic_expr_parse(expr, expected)
def test_arithmetic_expr_parse_already_escaped(self):
expr = '$(class) + $(_class_ESC)'
expected = ('_class_ESC.volume + __class_ESC_ESC.volume',
{
'class': '_class_ESC',
'_class_ESC': '__class_ESC_ESC'
})
self._do_test_arithmetic_expr_parse(expr, expected)
def _do_test_arithmetic(self, expression, scenario, expected):
transformer_cfg = [
{
'name': 'arithmetic',
'parameters': {
'target': {'name': 'new_meter',
'unit': '%',
'type': sample.TYPE_GAUGE,
'expr': expression},
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters',
list(set(s['name'] for s in scenario)))
counters = []
test_resources = ['test_resource1', 'test_resource2']
for resource_id in test_resources:
for s in scenario:
counters.append(sample.Sample(
name=s['name'],
type=sample.TYPE_CUMULATIVE,
volume=s['volume'],
unit='ns',
user_id='test_user',
project_id='test_proj',
resource_id=resource_id,
timestamp=timeutils.utcnow().isoformat(),
resource_metadata=s.get('metadata')
))
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
expected_len = len(test_resources) * len(expected)
self.assertEqual(0, len(publisher.samples))
pipe.flush(None)
self.assertEqual(expected_len, len(publisher.samples))
# bucket samples by resource first
samples_by_resource = dict((r, []) for r in test_resources)
for s in publisher.samples:
samples_by_resource[s.resource_id].append(s)
for resource_id in samples_by_resource:
self.assertEqual(len(expected),
len(samples_by_resource[resource_id]))
for i, s in enumerate(samples_by_resource[resource_id]):
self.assertEqual('new_meter', getattr(s, 'name'))
self.assertEqual(resource_id, getattr(s, 'resource_id'))
self.assertEqual('%', getattr(s, 'unit'))
self.assertEqual(sample.TYPE_GAUGE, getattr(s, 'type'))
self.assertEqual(expected[i], getattr(s, 'volume'))
def test_arithmetic_transformer(self):
expression = '100.0 * $(memory.usage) / $(memory)'
scenario = [
dict(name='memory', volume=1024.0),
dict(name='memory.usage', volume=512.0),
]
expected = [50.0]
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_expr_empty(self):
expression = ''
scenario = [
dict(name='memory', volume=1024.0),
dict(name='memory.usage', volume=512.0),
]
expected = []
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_expr_misconfigured(self):
expression = '512.0 * 3'
scenario = [
dict(name='memory', volume=1024.0),
dict(name='memory.usage', volume=512.0),
]
expected = []
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_nan(self):
expression = 'float(\'nan\') * $(memory.usage) / $(memory)'
scenario = [
dict(name='memory', volume=1024.0),
dict(name='memory.usage', volume=512.0),
]
expected = []
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_exception(self):
expression = '$(memory) / 0'
scenario = [
dict(name='memory', volume=1024.0),
dict(name='memory.usage', volume=512.0),
]
expected = []
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_multiple_samples(self):
expression = '100.0 * $(memory.usage) / $(memory)'
scenario = [
dict(name='memory', volume=2048.0),
dict(name='memory.usage', volume=512.0),
dict(name='memory', volume=1024.0),
]
expected = [50.0]
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_missing(self):
expression = '100.0 * $(memory.usage) / $(memory)'
scenario = [dict(name='memory.usage', volume=512.0)]
expected = []
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_more_than_needed(self):
expression = '100.0 * $(memory.usage) / $(memory)'
scenario = [
dict(name='memory', volume=1024.0),
dict(name='memory.usage', volume=512.0),
dict(name='cpu_util', volume=90.0),
]
expected = [50.0]
self._do_test_arithmetic(expression, scenario, expected)
def test_arithmetic_transformer_cache_cleared(self):
transformer_cfg = [
{
'name': 'arithmetic',
'parameters': {
'target': {'name': 'new_meter',
'expr': '$(memory.usage) + 2'}
}
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['memory.usage'])
counter = sample.Sample(
name='memory.usage',
type=sample.TYPE_GAUGE,
volume=1024.0,
unit='MB',
user_id='test_user',
project_id='test_proj',
resource_id='test_resource',
timestamp=timeutils.utcnow().isoformat(),
resource_metadata=None
)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_data(None, [counter])
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
pipe.flush(None)
self.assertEqual(1, len(publisher.samples))
self.assertEqual(1026.0, publisher.samples[0].volume)
pipe.flush(None)
self.assertEqual(1, len(publisher.samples))
counter.volume = 2048.0
pipe.publish_data(None, [counter])
pipe.flush(None)
self.assertEqual(2, len(publisher.samples))
self.assertEqual(2050.0, publisher.samples[1].volume)
def test_aggregator_timed_flush_no_matching_samples(self):
timeutils.set_time_override()
transformer_cfg = [
{
'name': 'aggregator',
'parameters': {'size': 900, 'retention_time': 60},
},
]
self._set_pipeline_cfg('transformers', transformer_cfg)
self._set_pipeline_cfg('counters', ['unrelated-sample'])
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
timeutils.advance_time_seconds(200)
pipe = pipeline_manager.pipelines[0]
pipe.flush(None)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(0, len(publisher.samples))
def test_unique_pipeline_names(self):
self._dup_pipeline_name_cfg()
self._exception_create_pipelinemanager()