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

135 lines
5.0 KiB
Python

#
# Copyright 2015 Hewlett-Packard Company
#
# 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.publisher import monasca_data_filter as mdf
from ceilometer import sample
class TestMonUtils(base.BaseTestCase):
def setUp(self):
super(TestMonUtils, self).setUp()
self._field_mappings = {
'dimensions': ['resource_id',
'project_id',
'user_id',
'geolocation',
'region',
'availability_zone'],
'metadata': {
'common': ['event_type',
'audit_period_beginning',
'audit_period_ending'],
'image': ['size', 'status'],
'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'],
}
}
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()
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNone(r['dimensions'].get('type'))
self.assertIsNone(r.get('value_meta'))
self.assertEqual(s.user_id, r['dimensions'].get('user_id'))
self.assertEqual(s.project_id, r['dimensions']['project_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()
r = data_filter.process_sample_for_monasca(s)
self.assertIsNone(r['dimensions'].get('project_id'))
self.assertIsNone(r['dimensions'].get('user_id'))
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',
'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()
r = data_filter.process_sample_for_monasca(s)
self.assertEqual(s.name, r['name'])
self.assertIsNotNone(r.get('value_meta'))
self.assertEqual(s.resource_metadata.items(),
r['value_meta'].items())