monasca-ceilometer/ceilosca/ceilometer/tests/unit/publisher/test_monasca_data_filter.py

513 lines
22 KiB
Python

#
# Copyright 2015 Hewlett-Packard Company
# (c) Copyright 2018 SUSE LLC
#
# 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
import mock
from oslo_utils import timeutils
from oslotest import base
from ceilometer import monasca_opts
from ceilometer.publisher import monasca_data_filter as mdf
from ceilometer import sample
from ceilometer import service
class TestMonUtils(base.BaseTestCase):
def setUp(self):
super(TestMonUtils, self).setUp()
self.CONF = service.prepare_service([], [])
self.CONF.register_opts(list(monasca_opts.OPTS),
'monasca')
self._field_mappings = {
'dimensions': ['resource_id',
'project_id',
'user_id',
'geolocation',
'region',
'source',
'availability_zone'],
'metadata': {
'common': ['event_type',
'audit_period_beginning',
'audit_period_ending'],
'image': ['size', 'status', 'image_meta.base_url',
'image_meta.base_url2', 'image_meta.base_url3',
'image_meta.base_url4'],
'image.delete': ['size', 'status'],
'image.size': ['size', 'status'],
'image.update': ['size', 'status'],
'image.upload': ['size', 'status'],
'instance': ['state', 'state_description'],
'snapshot': ['status'],
'snapshot.size': ['status'],
'volume': ['status'],
'volume.size': ['status'],
}
}
self._field_mappings_cinder = {
'dimensions': ['resource_id',
'project_id',
'user_id',
'geolocation',
'region',
'source',
'availability_zone'],
'metadata': {
'common': ['event_type',
'audit_period_beginning',
'audit_period_ending',
'arbitrary_new_field'],
'volume.create.end':
['size', 'status',
{'metering.prn_name':
"$.metadata[?(@.key = 'metering.prn_name')].value"},
{'metering.prn_type':
"$.metadata[?(@.key = 'metering.prn_type')].value"},
'volume_type', 'created_at',
'host'],
'volume': ['status'],
'volume.size': ['status'],
}
}
self._field_mappings_bad_format = {
'dimensions': ['resource_id',
'project_id',
'user_id',
'geolocation',
'region',
'source',
'availability_zone'],
'metadata': {
'common': ['event_type',
'audit_period_beginning',
'audit_period_ending',
'arbitrary_new_field'],
'volume.create.end':
['size', 'status',
{'metering.prn_name':
"$.metadata[?(@.key = 'metering.prn_name')].value",
'metering.prn_type':
"$.metadata[?(@.key = 'metering.prn_type')].value"},
'volume_type', 'created_at',
'host'],
'volume': ['status'],
'volume.size': ['status'],
}
}
def test_process_sample(self):
s = sample.Sample(
name='test',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'name': 'TestPublish'},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
with mock.patch(to_patch, side_effect=[self._field_mappings]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('dimensions'))
self.assertIsNotNone(r.get('value_meta'))
self.assertIsNotNone(r.get('value'))
self.assertEqual(s.user_id, r['dimensions'].get('user_id'))
self.assertEqual(s.project_id, r['dimensions'].get('project_id'))
self.assertEqual(s.resource_id, r['dimensions'].get('resource_id'))
# 2015-04-07T20:07:06.156986 compare upto millisec
monasca_ts = \
timeutils.iso8601_from_timestamp(r['timestamp'] / 1000.0,
microsecond=True)[:23]
self.assertEqual(s.timestamp[:23], monasca_ts)
def test_process_sample_field_mappings(self):
s = sample.Sample(
name='test',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'name': 'TestPublish'},
)
field_map = self._field_mappings
field_map['dimensions'].remove('project_id')
field_map['dimensions'].remove('user_id')
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
with mock.patch(to_patch, side_effect=[field_map]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertIsNone(r['dimensions'].get('project_id'))
self.assertIsNone(r['dimensions'].get('user_id'))
def convert_dict_to_list(self, dct, prefix=None, outlst={}):
prefix = prefix + '.' if prefix else ""
for k, v in dct.items():
if type(v) is dict:
self.convert_dict_to_list(v, prefix + k, outlst)
else:
if v is not None:
outlst[prefix + k] = v
else:
outlst[prefix + k] = 'None'
return outlst
def test_process_sample_metadata(self):
s = sample.Sample(
name='image',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'notification',
'status': 'active',
'image_meta': {'base_url': 'http://image.url',
'base_url2': '',
'base_url3': None},
'size': 1500},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
with mock.patch(to_patch, side_effect=[self._field_mappings]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('value_meta'))
self.assertTrue(set(self.convert_dict_to_list(
s.resource_metadata
).items()).issubset(set(r['value_meta'].items())))
def test_process_sample_metadata_with_empty_data(self):
s = sample.Sample(
name='image',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
source='',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'notification',
'status': 'active',
'image_meta': {'base_url': 'http://image.url',
'base_url2': '',
'base_url3': None},
'size': 0},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
with mock.patch(to_patch, side_effect=[self._field_mappings]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('value_meta'))
self.assertEqual(s.source, r['dimensions']['source'])
self.assertTrue(set(self.convert_dict_to_list(
s.resource_metadata
).items()).issubset(set(r['value_meta'].items())))
def test_process_sample_metadata_with_extendedKey(self):
s = sample.Sample(
name='image',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
source='',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'notification',
'status': 'active',
'image_meta': {'base_url': 'http://image.url',
'base_url2': '',
'base_url3': None},
'size': 0},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
with mock.patch(to_patch, side_effect=[self._field_mappings]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('value_meta'))
self.assertTrue(set(self.convert_dict_to_list(
s.resource_metadata
).items()).issubset(set(r['value_meta'].items())))
self.assertEqual(r.get('value_meta')['image_meta.base_url'],
s.resource_metadata.get('image_meta')
['base_url'])
self.assertEqual(r.get('value_meta')['image_meta.base_url2'],
s.resource_metadata.get('image_meta')
['base_url2'])
self.assertEqual(r.get('value_meta')['image_meta.base_url3'],
str(s.resource_metadata.get('image_meta')
['base_url3']))
self.assertEqual(r.get('value_meta')['image_meta.base_url4'],
'None')
def test_process_sample_metadata_with_jsonpath(self):
"""Test meter sample in a format produced by cinder."""
s = sample.Sample(
name='volume.create.end',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
source='',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'volume.create.end',
'status': 'available',
'volume_type': None,
# 'created_at': '2017-03-21T21:05:44+00:00',
'host': 'testhost',
# this "value: , key: " format is
# how cinder reports metadata
'metadata':
[{'value': 'aaa0001',
'key': 'metering.prn_name'},
{'value': 'Cust001',
'key': 'metering.prn_type'}],
'size': 0},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
# use the cinder specific mapping
with mock.patch(to_patch, side_effect=[self._field_mappings_cinder]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('value_meta'))
# Using convert_dict_to_list is too simplistic for this
self.assertEqual(r.get('value_meta')['event_type'],
s.resource_metadata.get('event_type'),
"Failed to match common element.")
self.assertEqual(r.get('value_meta')['host'],
s.resource_metadata.get('host'),
"Failed to match meter specific element.")
self.assertEqual(r.get('value_meta')['size'],
s.resource_metadata.get('size'),
"Unable to handle an int.")
self.assertEqual(r.get('value_meta')['metering.prn_name'],
'aaa0001',
"Failed to extract a value "
"using specified jsonpath.")
def test_process_sample_metadata_with_jsonpath_nomatch(self):
"""Test meter sample in a format produced by cinder.
Behavior when no matching element is found for the specified jsonpath
"""
s = sample.Sample(
name='volume.create.end',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
source='',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'volume.create.end',
'status': 'available',
'volume_type': None,
# 'created_at': '2017-03-21T21:05:44+00:00',
'host': 'testhost',
'metadata': [{'value': 'aaa0001',
'key': 'metering.THISWONTMATCH'}],
'size': 0},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
# use the cinder specific mapping
with mock.patch(to_patch, side_effect=[self._field_mappings_cinder]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('value_meta'))
# Using convert_dict_to_list is too simplistic for this
self.assertEqual(r.get('value_meta')['event_type'],
s.resource_metadata.get('event_type'),
"Failed to match common element.")
self.assertEqual(r.get('value_meta')['host'],
s.resource_metadata.get('host'),
"Failed to match meter specific element.")
self.assertEqual(r.get('value_meta')['size'],
s.resource_metadata.get('size'),
"Unable to handle an int.")
self.assertEqual(r.get('value_meta')['metering.prn_name'],
'None', "This metadata should fail to match "
"and then return 'None'.")
def test_process_sample_metadata_with_jsonpath_value_not_str(self):
"""Test where jsonpath is used but result is not a simple string"""
s = sample.Sample(
name='volume.create.end',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
source='',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'volume.create.end',
'status': 'available',
'volume_type': None,
# 'created_at': '2017-03-21T21:05:44+00:00',
'host': 'testhost',
'metadata': [{'value': ['aaa0001', 'bbbb002'],
'key': 'metering.prn_name'}],
'size': 0},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
# use the cinder specific mapping
with mock.patch(to_patch, side_effect=[self._field_mappings_cinder]):
data_filter = mdf.MonascaDataFilter(self.CONF)
try:
# Don't assign to a variable, this should raise
data_filter.process_sample_for_monasca(s)
except mdf.CeiloscaMappingDefinitionException as e:
self.assertEqual(
'Metadata format mismatch, value should be '
'a simple string. [\'aaa0001\', \'bbbb002\']',
e.message)
def test_process_sample_metadata_with_jsonpath_value_is_int(self):
"""Test meter sample where jsonpath result is an int."""
s = sample.Sample(
name='volume.create.end',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
source='',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'volume.create.end',
'status': 'available',
'volume_type': None,
# 'created_at': '2017-03-21T21:05:44+00:00',
'host': 'testhost',
'metadata': [{'value': 13,
'key': 'metering.prn_name'}],
'size': 0},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
# use the cinder specific mapping
with mock.patch(to_patch, side_effect=[self._field_mappings_cinder]):
data_filter = mdf.MonascaDataFilter(self.CONF)
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('value_meta'))
# Using convert_dict_to_list is too simplistic for this
self.assertEqual(r.get('value_meta')['event_type'],
s.resource_metadata.get('event_type'),
"Failed to match common element.")
self.assertEqual(r.get('value_meta')['host'],
s.resource_metadata.get('host'),
"Failed to match meter specific element.")
self.assertEqual(r.get('value_meta')['size'],
s.resource_metadata.get('size'),
"Unable to handle an int.")
self.assertEqual(r.get('value_meta')['metering.prn_name'],
13,
"Unable to handle an int "
"through the jsonpath processing")
def test_process_sample_metadata_with_jsonpath_bad_format(self):
"""Test handling of definition that is not written correctly"""
s = sample.Sample(
name='volume.create.end',
type=sample.TYPE_CUMULATIVE,
unit='',
volume=1,
user_id='test',
project_id='test',
resource_id='test_run_tasks',
source='',
timestamp=datetime.datetime.utcnow().isoformat(),
resource_metadata={'event_type': 'volume.create.end',
'status': 'available',
'volume_type': None,
# 'created_at': '2017-03-21T21:05:44+00:00',
'host': 'testhost',
'metadata': [{'value': 13,
'key': 'metering.prn_name'}],
'size': 0},
)
to_patch = ("ceilometer.publisher.monasca_data_filter."
"MonascaDataFilter._get_mapping")
# use the bad mapping
with mock.patch(to_patch,
side_effect=[self._field_mappings_bad_format]):
data_filter = mdf.MonascaDataFilter(self.CONF)
try:
# Don't assign to a variable as this should raise
data_filter.process_sample_for_monasca(s)
except mdf.CeiloscaMappingDefinitionException as e:
# Make sure we got the right kind of error
# Cannot check the whole message text, as python
# may reorder a dict when producing a string version
self.assertIn(
'Field definition format mismatch, should '
'have only one key:value pair.',
e.message,
"Did raise exception but wrong message - %s" % e.message)