225 lines
9.3 KiB
Python
225 lines
9.3 KiB
Python
#
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# Copyright 2015 Hewlett-Packard Company
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import datetime
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import mock
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from oslo_utils import timeutils
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from oslotest import base
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from ceilometer.publisher import monasca_data_filter as mdf
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from ceilometer import sample
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class TestMonUtils(base.BaseTestCase):
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def setUp(self):
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super(TestMonUtils, self).setUp()
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self._field_mappings = {
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'dimensions': ['resource_id',
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'project_id',
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'user_id',
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'geolocation',
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'region',
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'source',
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'availability_zone'],
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'metadata': {
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'common': ['event_type',
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'audit_period_beginning',
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'audit_period_ending'],
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'image': ['size', 'status', 'image_meta.base_url',
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'image_meta.base_url2', 'image_meta.base_url3',
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'image_meta.base_url4'],
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'image.delete': ['size', 'status'],
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'image.size': ['size', 'status'],
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'image.update': ['size', 'status'],
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'image.upload': ['size', 'status'],
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'instance': ['state', 'state_description'],
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'snapshot': ['status'],
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'snapshot.size': ['status'],
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'volume': ['status'],
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'volume.size': ['status'],
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}
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}
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def test_process_sample(self):
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s = sample.Sample(
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name='test',
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type=sample.TYPE_CUMULATIVE,
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unit='',
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volume=1,
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user_id='test',
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project_id='test',
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resource_id='test_run_tasks',
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timestamp=datetime.datetime.utcnow().isoformat(),
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resource_metadata={'name': 'TestPublish'},
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)
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to_patch = ("ceilometer.publisher.monasca_data_filter."
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"MonascaDataFilter._get_mapping")
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with mock.patch(to_patch, side_effect=[self._field_mappings]):
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data_filter = mdf.MonascaDataFilter()
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r = data_filter.process_sample_for_monasca(s)
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self.assertEqual(s.name, r['name'])
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self.assertIsNotNone(r.get('dimensions'))
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self.assertIsNotNone(r.get('value_meta'))
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self.assertIsNotNone(r.get('value'))
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self.assertEqual(s.user_id, r['dimensions'].get('user_id'))
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self.assertEqual(s.project_id, r['dimensions'].get('project_id'))
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self.assertEqual(s.resource_id, r['dimensions'].get('resource_id'))
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# 2015-04-07T20:07:06.156986 compare upto millisec
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monasca_ts = \
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timeutils.iso8601_from_timestamp(r['timestamp'] / 1000.0,
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microsecond=True)[:23]
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self.assertEqual(s.timestamp[:23], monasca_ts)
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def test_process_sample_field_mappings(self):
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s = sample.Sample(
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name='test',
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type=sample.TYPE_CUMULATIVE,
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unit='',
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volume=1,
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user_id='test',
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project_id='test',
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resource_id='test_run_tasks',
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timestamp=datetime.datetime.utcnow().isoformat(),
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resource_metadata={'name': 'TestPublish'},
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)
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field_map = self._field_mappings
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field_map['dimensions'].remove('project_id')
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field_map['dimensions'].remove('user_id')
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to_patch = ("ceilometer.publisher.monasca_data_filter."
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"MonascaDataFilter._get_mapping")
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with mock.patch(to_patch, side_effect=[field_map]):
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data_filter = mdf.MonascaDataFilter()
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r = data_filter.process_sample_for_monasca(s)
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self.assertIsNone(r['dimensions'].get('project_id'))
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self.assertIsNone(r['dimensions'].get('user_id'))
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def convert_dict_to_list(self, dct, prefix=None, outlst={}):
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prefix = prefix+'.' if prefix else ""
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for k, v in dct.items():
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if type(v) is dict:
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self.convert_dict_to_list(v, prefix+k, outlst)
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else:
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if v is not None:
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outlst[prefix+k] = v
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else:
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outlst[prefix+k] = 'None'
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return outlst
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def test_process_sample_metadata(self):
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s = sample.Sample(
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name='image',
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type=sample.TYPE_CUMULATIVE,
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unit='',
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volume=1,
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user_id='test',
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project_id='test',
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resource_id='test_run_tasks',
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timestamp=datetime.datetime.utcnow().isoformat(),
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resource_metadata={'event_type': 'notification',
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'status': 'active',
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'image_meta': {'base_url': 'http://image.url',
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'base_url2': '',
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'base_url3': None},
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'size': 1500},
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)
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to_patch = ("ceilometer.publisher.monasca_data_filter."
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"MonascaDataFilter._get_mapping")
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with mock.patch(to_patch, side_effect=[self._field_mappings]):
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data_filter = mdf.MonascaDataFilter()
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r = data_filter.process_sample_for_monasca(s)
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self.assertEqual(s.name, r['name'])
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self.assertIsNotNone(r.get('value_meta'))
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self.assertTrue(set(self.convert_dict_to_list(s.resource_metadata).
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items()).issubset(set(r['value_meta'].items())))
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def test_process_sample_metadata_with_empty_data(self):
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s = sample.Sample(
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name='image',
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type=sample.TYPE_CUMULATIVE,
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unit='',
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volume=1,
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user_id='test',
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project_id='test',
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resource_id='test_run_tasks',
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source='',
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timestamp=datetime.datetime.utcnow().isoformat(),
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resource_metadata={'event_type': 'notification',
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'status': 'active',
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'image_meta': {'base_url': 'http://image.url',
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'base_url2': '',
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'base_url3': None},
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'size': 0},
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)
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to_patch = ("ceilometer.publisher.monasca_data_filter."
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"MonascaDataFilter._get_mapping")
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with mock.patch(to_patch, side_effect=[self._field_mappings]):
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data_filter = mdf.MonascaDataFilter()
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r = data_filter.process_sample_for_monasca(s)
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self.assertEqual(s.name, r['name'])
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self.assertIsNotNone(r.get('value_meta'))
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self.assertEqual(s.source, r['dimensions']['source'])
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self.assertTrue(set(self.convert_dict_to_list(s.resource_metadata).
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items()).issubset(set(r['value_meta'].items())))
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def test_process_sample_metadata_with_extendedKey(self):
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s = sample.Sample(
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name='image',
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type=sample.TYPE_CUMULATIVE,
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unit='',
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volume=1,
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user_id='test',
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project_id='test',
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resource_id='test_run_tasks',
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source='',
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timestamp=datetime.datetime.utcnow().isoformat(),
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resource_metadata={'event_type': 'notification',
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'status': 'active',
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'image_meta': {'base_url': 'http://image.url',
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'base_url2': '',
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'base_url3': None},
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'size': 0},
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)
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to_patch = ("ceilometer.publisher.monasca_data_filter."
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"MonascaDataFilter._get_mapping")
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with mock.patch(to_patch, side_effect=[self._field_mappings]):
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data_filter = mdf.MonascaDataFilter()
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r = data_filter.process_sample_for_monasca(s)
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self.assertEqual(s.name, r['name'])
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self.assertIsNotNone(r.get('value_meta'))
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self.assertTrue(set(self.convert_dict_to_list(s.resource_metadata).
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items()).issubset(set(r['value_meta'].items())))
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self.assertEqual(r.get('value_meta')['image_meta.base_url'],
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s.resource_metadata.get('image_meta')
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['base_url'])
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self.assertEqual(r.get('value_meta')['image_meta.base_url2'],
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s.resource_metadata.get('image_meta')
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['base_url2'])
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self.assertEqual(r.get('value_meta')['image_meta.base_url3'],
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str(s.resource_metadata.get('image_meta')
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['base_url3']))
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self.assertEqual(r.get('value_meta')['image_meta.base_url4'],
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'None')
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