Files
python-aodhclient/aodhclient/tests/unit/test_metrics.py
Jaromir Wysoglad 16fcf40058 Add openstack alarm metrics command
This allows to retrieve metrics published on the v2/metrics
API endpoint created in https://review.opendev.org/c/openstack/aodh/+/925775
and extended in https://review.opendev.org/c/openstack/aodh/+/939754

Change-Id: Icec77554d4263dd575f7b8875b03ca300b643730
2025-04-25 09:13:23 -04:00

66 lines
2.3 KiB
Python

#
# 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 testtools
from unittest import mock
from aodhclient.v2 import metrics_cli
class MetricsTest(testtools.TestCase):
def setUp(self):
super(MetricsTest, self).setUp()
self.app = mock.Mock()
self.metrics_mgr_mock = self.app.client_manager.alarming.metrics
self.parser = mock.Mock()
self.metrics = (
metrics_cli.CliMetrics(self.app, self.parser))
def test_metrics(self):
self.metrics_mgr_mock.get.return_value = {
"evaluation_results": [
{
"alarm_id": "b8e17f58-089a-43fc-a96b-e9bcac4d4b53",
"project_id": "2dd8edd6c8c24f49bf04670534f6b357",
"state_counters": {
"insufficient data": 1646,
"ok": 0,
"alarm": 0
}
},
{
"alarm_id": "fa386719-67e3-42ff-aec8-17e547dac77a",
"project_id": "2dd8edd6c8c24f49bf04670534f6b357",
"state_counters": {
"insufficient data": 4,
"ok": 923,
"alarm": 0
}
},
{
"alarm_id": "0788bf8b-fc1f-4889-b5fd-5acd4d287bc3",
"project_id": "d45b070bcce04ca99546128a40854e7c",
"state_counters": {
"insufficient data": 1646,
"ok": 0,
"alarm": 0
}
}
]
}
ret = self.metrics.take_action([])
self.metrics_mgr_mock.get.assert_called_once_with()
self.assertIn('name', ret[0])
self.assertIn('evaluation_result', ret[1][0])