Add tests for cassandra/metric_batch.py

Change-Id: I048b77a7bef7e8477081ba2a404e919897752b7b
This commit is contained in:
Arseni Lipinski 2019-04-23 14:42:29 +02:00
parent ed7a1364e7
commit 54df2c58b4

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# (C) Copyright 2019 Fujitsu Limited
#
# 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.
from mock import Mock
from mock import patch
from cassandra.query import BatchStatement
from cassandra.query import SimpleStatement
from oslotest import base
from monasca_persister.repositories.cassandra import metric_batch
class FakeException(Exception):
pass
class TestMetricBatch(base.BaseTestCase):
def setUp(self):
super(TestMetricBatch, self).setUp()
self.bound_stmt = SimpleStatement("whatever")
self.metric_batch = metric_batch.MetricBatch(Mock(), Mock(), 1)
self._set_patchers()
self._set_mocks()
def _set_patchers(self):
self.patch_from_key = patch.object(self.metric_batch.metadata.token_map.token_class,
'from_key')
self.patch_lb_make_query_plan = patch.object(self.metric_batch.lb_policy,
'make_query_plan')
def _set_mocks(self):
self.mock_key = self.patch_from_key.start()
self.mock_lb_make_query = self.patch_lb_make_query_plan.start()
self.mock_key.return_value = 'token'
self.mock_lb_make_query.return_value = 'token'
def tearDown(self):
super(TestMetricBatch, self).tearDown()
self.mock_key.reset_mock()
self.patch_from_key.stop()
self.mock_lb_make_query.reset_mock()
self.patch_lb_make_query_plan.stop()
def test_batch_query_by_token_creates_a_query_map_tuple(self):
query_map = {}
self.metric_batch.batch_query_by_token(self.bound_stmt, query_map)
batch_statement, counter = query_map.get('token')[0]
self.assertIsInstance(batch_statement, BatchStatement)
self.assertIsInstance(counter, metric_batch.Counter)
def test_batch_query_increments_counter_if_counter_value_lt_batch_limit(self):
self.metric_batch.batch_limit = 2
query_map = {}
self.metric_batch.batch_query_by_token(self.bound_stmt, query_map)
prev_counter = query_map.get('token')[0][1].value()
self.metric_batch.batch_query_by_token(self.bound_stmt, query_map)
current_counter = query_map.get('token')[0][1].value()
self.assertEqual(prev_counter + 1, current_counter)
def test_new_batch_added_if_counter_value_gt_or_eq_batch_limit(self):
self.metric_batch.batch_limit = 1
query_map = {}
self.metric_batch.batch_query_by_token(self.bound_stmt, query_map)
prev_len = len(query_map.get('token'))
self.metric_batch.batch_query_by_token(self.bound_stmt, query_map)
curr_len = len(query_map.get('token'))
self.assertEqual(prev_len + 1, curr_len)
def test_batch_query_by_replicas_creates_a_query_map_tuple(self):
query_map = {}
self.metric_batch.batch_query_by_replicas(self.bound_stmt, query_map)
batch_statement, counter = query_map.get(tuple('token'))[0]
self.assertIsInstance(batch_statement, BatchStatement)
self.assertIsInstance(counter, metric_batch.Counter)
def test_batch_query_by_replicas_increments_counter_if_counter_value_lt_30(self):
query_map = {}
self.metric_batch.batch_query_by_replicas(self.bound_stmt, query_map)
prev_counter = query_map.get(tuple('token'))[0][1]._count = 29
self.metric_batch.batch_query_by_replicas(self.bound_stmt, query_map)
current_counter = query_map.get(tuple('token'))[0][1].value()
self.assertEqual(prev_counter + 1, current_counter)
def test_batch_query_by_replicas_adds_new_batch_if_counter_value_gt_30(self):
query_map = {}
self.metric_batch.batch_query_by_replicas(self.bound_stmt, query_map)
prev_len = len(query_map.get(tuple('token')))
query_map.get(tuple('token'))[0][1]._count = 30
self.metric_batch.batch_query_by_replicas(self.bound_stmt, query_map)
curr_len = len(query_map.get(tuple('token')))
self.assertEqual(prev_len + 1, curr_len)
def test_add_metric_query(self):
self.metric_batch.add_metric_query(self.bound_stmt)
def test_add_dimension_query(self):
self.metric_batch.add_dimension_query(self.bound_stmt)
def test_add_dimension_metric_query(self):
self.metric_batch.add_dimension_metric_query(self.bound_stmt)
def test_add_metric_dimension_query(self):
self.metric_batch.add_metric_dimension_query(self.bound_stmt)
def test_add_measurement_query(self):
self.metric_batch.add_measurement_query(self.bound_stmt)
def test_clear(self):
self.metric_batch.clear()
self.assertEqual(self.metric_batch.metric_queries, {})
self.assertEqual(self.metric_batch.dimension_queries, {})
self.assertEqual(self.metric_batch.dimension_metric_queries, {})
self.assertEqual(self.metric_batch.metric_dimension_queries, {})
self.assertEqual(self.metric_batch.measurement_queries, {})
def test_log_token_batch_map(self):
query_map = {}
self.metric_batch.batch_query_by_token(self.bound_stmt, query_map)
with patch.object(metric_batch.LOG, 'info') as mock_log_info:
self.metric_batch.log_token_batch_map('name', query_map)
mock_log_info.assert_called_with('name : Size: 1; Tokens: |token: 1|')
def test_log_replica_batch_map(self):
query_map = {}
with patch.object(self.metric_batch.lb_policy, 'make_query_plan'):
with patch.object(metric_batch.LOG, 'info') as mock_log_info:
self.metric_batch.batch_query_by_replicas(self.bound_stmt, query_map)
self.metric_batch.log_replica_batch_map('name', query_map)
mock_log_info.assert_called_with('name : Size: 1; Replicas: |: 1|')
def test_get_all_batches(self):
with patch.object(self.metric_batch, 'log_token_batch_map'):
with(patch.object(self.metric_batch, 'log_replica_batch_map')):
sample_elements = ['measurement_query', 'metric_query', 'dimension_query',
'dimension_metric_query', 'metric_dimension_query']
self.metric_batch.measurement_queries.update({'some': sample_elements[0]})
self.metric_batch.metric_queries.update({'some': sample_elements[1]})
self.metric_batch.dimension_queries.update({'some': sample_elements[2]})
self.metric_batch.dimension_metric_queries.update({'some': sample_elements[3]})
self.metric_batch.metric_dimension_queries.update({'some': sample_elements[4]})
result_list = self.metric_batch.get_all_batches()
for elem in sample_elements:
self.assertIn(elem[0], result_list)
def test_counter_increment_by(self):
counter = metric_batch.Counter()
temp_counter_value = counter.value()
counter.increment_by(5)
self.assertEqual(temp_counter_value + 5, counter.value())