ceilometer/tests/test_pipeline.py

1049 lines
41 KiB
Python

# -*- encoding: 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 datetime
from stevedore import extension
from ceilometer import sample
from ceilometer import publisher
from ceilometer.publisher import test as test_publisher
from ceilometer import transformer
from ceilometer.transformer import accumulator
from ceilometer.transformer import conversions
from ceilometer.openstack.common import timeutils
from ceilometer import pipeline
from ceilometer.tests import base
class TestTransformerAccumulator(base.TestCase):
def test_handle_sample(self):
test_sample = 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={}
)
# Test when size is set to less than 1.
tf = accumulator.TransformerAccumulator(size=0)
self.assertEqual(tf.handle_sample(None, test_sample), test_sample)
self.assertFalse(hasattr(tf, 'samples'))
# Test when size is set to greater or equal than 1.
tf = accumulator.TransformerAccumulator(size=2)
tf.handle_sample(None, test_sample)
self.assertEqual(len(tf.samples), 1)
class TestPipeline(base.TestCase):
def fake_tem_init(self):
"""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,
'unit_conversion': conversions.ScalingTransformer,
'rate_of_change': conversions.RateOfChangeTransformer,
}
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, counters):
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):
def handle_sample(self, ctxt, counter):
raise Exception()
def setUp(self):
super(TestPipeline, 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.stubs.Set(transformer.TransformerExtensionManager,
"__init__",
self.fake_tem_init)
self.stubs.Set(transformer.TransformerExtensionManager,
"get_ext",
self.fake_tem_get_ext)
self.stubs.Set(publisher, 'get_publisher', self.get_publisher)
self.transformer_manager = transformer.TransformerExtensionManager()
self.pipeline_cfg = [{
'name': "test_pipeline",
'interval': 5,
'counters': ['a'],
'transformers': [
{'name': "update",
'parameters': {}}
],
'publishers': ["test://"],
}, ]
def _exception_create_pipelinemanager(self):
self.assertRaises(pipeline.PipelineException,
pipeline.PipelineManager,
self.pipeline_cfg,
self.transformer_manager)
def test_no_counters(self):
del self.pipeline_cfg[0]['counters']
self._exception_create_pipelinemanager()
def test_no_transformers(self):
del self.pipeline_cfg[0]['transformers']
self._exception_create_pipelinemanager()
def test_no_name(self):
del self.pipeline_cfg[0]['name']
self._exception_create_pipelinemanager()
def test_no_interval(self):
del self.pipeline_cfg[0]['interval']
self._exception_create_pipelinemanager()
def test_no_publishers(self):
del self.pipeline_cfg[0]['publishers']
self._exception_create_pipelinemanager()
def test_check_counters_include_exclude_same(self):
counter_cfg = ['a', '!a']
self.pipeline_cfg[0]['counters'] = counter_cfg
self._exception_create_pipelinemanager()
def test_check_counters_include_exclude(self):
counter_cfg = ['a', '!b']
self.pipeline_cfg[0]['counters'] = counter_cfg
self._exception_create_pipelinemanager()
def test_check_counters_wildcard_included(self):
counter_cfg = ['a', '*']
self.pipeline_cfg[0]['counters'] = counter_cfg
self._exception_create_pipelinemanager()
def test_check_publishers_invalid_publisher(self):
publisher_cfg = ['test_invalid']
self.pipeline_cfg[0]['publishers'] = publisher_cfg
def test_invalid_string_interval(self):
self.pipeline_cfg[0]['interval'] = 'string'
self._exception_create_pipelinemanager()
def test_check_transformer_invalid_transformer(self):
transformer_cfg = [
{'name': "test_invalid",
'parameters': {}}
]
self.pipeline_cfg[0]['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.assertTrue(pipe.get_interval() == 5)
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(len(publisher.samples), 1)
self.assertTrue(len(self.TransformerClass.samples) == 1)
self.assertEqual(getattr(publisher.samples[0], "name"), 'a_update')
self.assertTrue(getattr(self.TransformerClass.samples[0], "name")
== 'a')
def test_multiple_included_counters(self):
counter_cfg = ['a', 'b']
self.pipeline_cfg[0]['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(len(publisher.samples), 1)
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(len(publisher.samples), 2)
self.assertTrue(len(self.TransformerClass.samples) == 2)
self.assertEqual(getattr(publisher.samples[0], "name"), 'a_update')
self.assertEqual(getattr(publisher.samples[1], "name"), 'b_update')
def test_counter_dont_match(self):
counter_cfg = ['nomatch']
self.pipeline_cfg[0]['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(len(publisher.samples), 0)
self.assertEqual(publisher.calls, 0)
def test_wildcard_counter(self):
counter_cfg = ['*']
self.pipeline_cfg[0]['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(len(publisher.samples), 1)
self.assertTrue(len(self.TransformerClass.samples) == 1)
self.assertEqual(getattr(publisher.samples[0], "name"), 'a_update')
def test_wildcard_excluded_counters(self):
counter_cfg = ['*', '!a']
self.pipeline_cfg[0]['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.pipeline_cfg[0]['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(len(publisher.samples), 1)
self.assertEqual(len(self.TransformerClass.samples), 1)
self.assertEqual(getattr(publisher.samples[0], "name"),
'a_update')
def test_all_excluded_counters_not_excluded(self):
counter_cfg = ['!b', '!c']
self.pipeline_cfg[0]['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(len(publisher.samples), 1)
self.assertTrue(len(self.TransformerClass.samples) == 1)
self.assertEqual(getattr(publisher.samples[0], "name"), 'a_update')
self.assertTrue(getattr(self.TransformerClass.samples[0], "name")
== 'a')
def test_all_excluded_counters_is_excluded(self):
counter_cfg = ['!a', '!c']
self.pipeline_cfg[0]['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.pipeline_cfg[0]['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.pipeline_cfg[0]['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.pipeline_cfg[0]['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.pipeline_cfg.append({
'name': 'second_pipeline',
'interval': 5,
'counters': ['b'],
'transformers': [{
'name': 'update',
'parameters':
{
"append_name": "_new",
}
}],
'publishers': ['new'],
})
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(len(publisher.samples), 1)
self.assertEqual(publisher.calls, 1)
self.assertEqual(getattr(publisher.samples[0], "name"), 'a_update')
new_publisher = pipeline_manager.pipelines[1].publishers[0]
self.assertEqual(len(new_publisher.samples), 1)
self.assertEqual(new_publisher.calls, 1)
self.assertEqual(getattr(new_publisher.samples[0], "name"), 'b_new')
self.assertTrue(getattr(self.TransformerClass.samples[0], "name")
== 'a')
self.assertTrue(len(self.TransformerClass.samples) == 2)
self.assertTrue(getattr(self.TransformerClass.samples[0], "name")
== 'a')
self.assertTrue(getattr(self.TransformerClass.samples[1], "name")
== 'b')
def test_multiple_pipeline_exception(self):
self.pipeline_cfg.append({
'name': "second_pipeline",
"interval": 5,
'counters': ['b'],
'transformers': [{
'name': 'update',
'parameters':
{
"append_name": "_new",
}
}],
'publishers': ['except'],
})
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(publisher.calls, 1)
self.assertEqual(len(publisher.samples), 1)
self.assertEqual(getattr(publisher.samples[0], "name"), 'a_update')
self.assertTrue(len(self.TransformerClass.samples) == 2)
self.assertTrue(getattr(self.TransformerClass.samples[0], "name")
== 'a')
self.assertTrue(getattr(self.TransformerClass.samples[1], "name")
== 'b')
def test_none_transformer_pipeline(self):
self.pipeline_cfg[0]['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(len(publisher.samples), 1)
self.assertEqual(publisher.calls, 1)
self.assertEqual(getattr(publisher.samples[0], 'name'), 'a')
def test_empty_transformer_pipeline(self):
self.pipeline_cfg[0]['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(len(publisher.samples), 1)
self.assertEqual(publisher.calls, 1)
self.assertEqual(getattr(publisher.samples[0], 'name'), 'a')
def test_multiple_transformer_same_class(self):
self.pipeline_cfg[0]['transformers'] = [
{
'name': 'update',
'parameters': {}
},
{
'name': 'update',
'parameters': {}
},
]
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(publisher.calls, 1)
self.assertEqual(len(publisher.samples), 1)
self.assertEqual(getattr(publisher.samples[0], 'name'),
'a_update_update')
self.assertTrue(len(self.TransformerClass.samples) == 2)
self.assertTrue(getattr(self.TransformerClass.samples[0], 'name')
== 'a')
self.assertTrue(getattr(self.TransformerClass.samples[1], 'name')
== 'a_update')
def test_multiple_transformer_same_class_different_parameter(self):
self.pipeline_cfg[0]['transformers'] = [
{
'name': 'update',
'parameters':
{
"append_name": "_update",
}
},
{
'name': 'update',
'parameters':
{
"append_name": "_new",
}
},
]
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
self.assertTrue(len(self.TransformerClass.samples) == 2)
self.assertTrue(getattr(self.TransformerClass.samples[0], 'name')
== 'a')
self.assertTrue(getattr(self.TransformerClass.samples[1], 'name')
== 'a_update')
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(len(publisher.samples), 1)
self.assertEqual(getattr(publisher.samples[0], 'name'),
'a_update_new')
def test_multiple_transformer_drop_transformer(self):
self.pipeline_cfg[0]['transformers'] = [
{
'name': 'update',
'parameters':
{
"append_name": "_update",
}
},
{
'name': 'drop',
'parameters': {}
},
{
'name': 'update',
'parameters':
{
"append_name": "_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]
self.assertEqual(len(publisher.samples), 0)
self.assertTrue(len(self.TransformerClass.samples) == 1)
self.assertTrue(getattr(self.TransformerClass.samples[0], 'name')
== 'a')
self.assertTrue(len(self.TransformerClassDrop.samples) == 1)
self.assertTrue(getattr(self.TransformerClassDrop.samples[0], 'name')
== 'a_update')
def test_multiple_publisher(self):
self.pipeline_cfg[0]['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(len(publisher.samples), 1)
self.assertEqual(len(new_publisher.samples), 1)
self.assertEqual(getattr(new_publisher.samples[0], 'name'),
'a_update')
self.assertEqual(getattr(publisher.samples[0], 'name'),
'a_update')
def test_multiple_publisher_isolation(self):
self.pipeline_cfg[0]['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(len(new_publisher.samples), 1)
self.assertEqual(getattr(new_publisher.samples[0], 'name'),
'a_update')
def test_multiple_counter_pipeline(self):
self.pipeline_cfg[0]['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(len(publisher.samples), 2)
self.assertEqual(getattr(publisher.samples[0], 'name'), 'a_update')
self.assertEqual(getattr(publisher.samples[1], 'name'), 'b_update')
def test_flush_pipeline_cache(self):
CACHE_SIZE = 10
self.pipeline_cfg[0]['transformers'].extend([
{
'name': 'cache',
'parameters': {
'size': CACHE_SIZE,
}
},
{
'name': 'update',
'parameters':
{
'append_name': '_new'
}
}, ]
)
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
pipe.publish_sample(None, self.test_counter)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(len(publisher.samples), 0)
pipe.flush(None)
self.assertEqual(len(publisher.samples), 0)
pipe.publish_sample(None, self.test_counter)
pipe.flush(None)
self.assertEqual(len(publisher.samples), 0)
for i in range(CACHE_SIZE - 2):
pipe.publish_sample(None, self.test_counter)
pipe.flush(None)
self.assertEqual(len(publisher.samples), CACHE_SIZE)
self.assertTrue(getattr(publisher.samples[0], 'name')
== 'a_update_new')
def test_flush_pipeline_cache_multiple_counter(self):
CACHE_SIZE = 3
self.pipeline_cfg[0]['transformers'].extend([
{
'name': 'cache',
'parameters': {
'size': CACHE_SIZE
}
},
{
'name': 'update',
'parameters':
{
'append_name': '_new'
}
}, ]
)
self.pipeline_cfg[0]['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(len(publisher.samples), 0)
with pipeline_manager.publisher(None) as p:
p([self.test_counter])
self.assertEqual(len(publisher.samples), CACHE_SIZE)
self.assertEqual(getattr(publisher.samples[0], 'name'),
'a_update_new')
self.assertEqual(getattr(publisher.samples[1], 'name'),
'b_update_new')
def test_flush_pipeline_cache_before_publisher(self):
self.pipeline_cfg[0]['transformers'].append({
'name': 'cache',
'parameters': {}
})
pipeline_manager = pipeline.PipelineManager(self.pipeline_cfg,
self.transformer_manager)
pipe = pipeline_manager.pipelines[0]
publisher = pipe.publishers[0]
pipe.publish_sample(None, self.test_counter)
self.assertEqual(len(publisher.samples), 0)
pipe.flush(None)
self.assertEqual(len(publisher.samples), 1)
self.assertEqual(getattr(publisher.samples[0], 'name'),
'a_update')
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(len(publisher.samples), 1)
self.assertTrue(len(self.TransformerClass.samples) == 1)
self.assertEqual(getattr(publisher.samples[0], "name"),
'a:b_update')
self.assertTrue(getattr(self.TransformerClass.samples[0], "name")
== 'a:b')
def test_global_unit_conversion(self):
scale = 'volume / ((10**6) * 60)'
self.pipeline_cfg[0]['transformers'] = [
{
'name': 'unit_conversion',
'parameters': {
'source': {},
'target': {'name': 'cpu_mins',
'unit': 'min',
'scale': scale},
}
},
]
self.pipeline_cfg[0]['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_samples(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(len(publisher.samples), 1)
pipe.flush(None)
self.assertEqual(len(publisher.samples), 1)
cpu_mins = publisher.samples[-1]
self.assertEqual(getattr(cpu_mins, 'name'), 'cpu_mins')
self.assertEqual(getattr(cpu_mins, 'unit'), 'min')
self.assertEqual(getattr(cpu_mins, 'type'), sample.TYPE_CUMULATIVE)
self.assertEqual(getattr(cpu_mins, 'volume'), 20)
def test_unit_identified_source_unit_conversion(self):
self.pipeline_cfg[0]['transformers'] = [
{
'name': 'unit_conversion',
'parameters': {
'source': {'unit': '°C'},
'target': {'unit': '°F',
'scale': '(volume * 1.8) + 32'},
}
},
]
self.pipeline_cfg[0]['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_samples(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(len(publisher.samples), 2)
core_temp = publisher.samples[1]
self.assertEqual(getattr(core_temp, 'name'), 'core_temperature')
self.assertEqual(getattr(core_temp, 'unit'), '°F')
self.assertEqual(getattr(core_temp, 'volume'), 96.8)
amb_temp = publisher.samples[0]
self.assertEqual(getattr(amb_temp, 'name'), 'ambient_temperature')
self.assertEqual(getattr(amb_temp, 'unit'), '°F')
self.assertEqual(getattr(amb_temp, 'volume'), 88.8)
self.assertEqual(getattr(core_temp, 'volume'), 96.8)
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)))"
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()
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_samples(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(len(publisher.samples), 2)
pipe.flush(None)
self.assertEqual(len(publisher.samples), 2)
cpu_util = publisher.samples[0]
self.assertEqual(getattr(cpu_util, 'name'), 'cpu_util')
self.assertEqual(getattr(cpu_util, 'resource_id'), 'test_resource')
self.assertEqual(getattr(cpu_util, 'unit'), '%')
self.assertEqual(getattr(cpu_util, 'type'), sample.TYPE_GAUGE)
self.assertEqual(getattr(cpu_util, 'volume'), expected)
cpu_util = publisher.samples[1]
self.assertEqual(getattr(cpu_util, 'name'), 'cpu_util')
self.assertEqual(getattr(cpu_util, 'resource_id'), 'test_resource2')
self.assertEqual(getattr(cpu_util, 'unit'), '%')
self.assertEqual(getattr(cpu_util, 'type'), sample.TYPE_GAUGE)
self.assertEqual(getattr(cpu_util, 'volume'), expected * 2)
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))"
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]
pipe.publish_samples(None, counters)
publisher = pipeline_manager.pipelines[0].publishers[0]
self.assertEqual(len(publisher.samples), 0)
pipe.flush(None)
self.assertEqual(len(publisher.samples), 0)