aodh/ceilometer/tests/storage/test_models.py
gordon chung 85e3678ec6 add option to store raw notification
- this patch adds ability to store raw notification. it does not
support indexing/querying against it as this is not expected to be
performant.
- use conf fixture to ensure test isolation.

Change-Id: Ic35bb81d1ed1b538280cb9c2e87aced22bdff207
2015-03-03 14:44:46 -05:00

158 lines
5.6 KiB
Python

#
# Copyright 2013 New Dream Network, LLC (DreamHost)
#
# 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
from oslotest import base as testbase
import six
from ceilometer.alarm.storage import models as alarm_models
from ceilometer.event.storage import models as event_models
from ceilometer.storage import base
from ceilometer.storage import models
class FakeModel(base.Model):
def __init__(self, arg1, arg2):
base.Model.__init__(self, arg1=arg1, arg2=arg2)
class ModelTest(testbase.BaseTestCase):
def test_create_attributes(self):
m = FakeModel(1, 2)
self.assertEqual(1, m.arg1)
self.assertEqual(2, m.arg2)
def test_as_dict(self):
m = FakeModel(1, 2)
d = m.as_dict()
self.assertEqual({'arg1': 1, 'arg2': 2}, d)
def test_as_dict_recursive(self):
m = FakeModel(1, FakeModel('a', 'b'))
d = m.as_dict()
self.assertEqual({'arg1': 1,
'arg2': {'arg1': 'a',
'arg2': 'b'}},
d)
def test_as_dict_recursive_list(self):
m = FakeModel(1, [FakeModel('a', 'b')])
d = m.as_dict()
self.assertEqual({'arg1': 1,
'arg2': [{'arg1': 'a',
'arg2': 'b'}]},
d)
def test_event_repr_no_traits(self):
x = event_models.Event("1", "name", "now", None, {})
self.assertEqual("<Event: 1, name, now, >", repr(x))
def test_get_field_names_of_sample(self):
sample_fields = ["source", "counter_name", "counter_type",
"counter_unit", "counter_volume", "user_id",
"project_id", "resource_id", "timestamp",
"resource_metadata", "message_id",
"message_signature", "recorded_at"]
self.assertEqual(set(sample_fields),
set(models.Sample.get_field_names()))
def test_get_field_names_of_alarm(self):
alarm_fields = ["alarm_id", "type", "enabled", "name", "description",
"timestamp", "user_id", "project_id", "state",
"state_timestamp", "ok_actions", "alarm_actions",
"insufficient_data_actions", "repeat_actions", "rule",
"severity", "time_constraints"]
self.assertEqual(set(alarm_fields),
set(alarm_models.Alarm.get_field_names()))
def test_get_field_names_of_alarmchange(self):
alarmchange_fields = ["event_id", "alarm_id", "type", "detail",
"user_id", "project_id", "severity",
"on_behalf_of", "timestamp"]
self.assertEqual(set(alarmchange_fields),
set(alarm_models.AlarmChange.get_field_names()))
class TestTraitModel(testbase.BaseTestCase):
def test_convert_value(self):
v = event_models.Trait.convert_value(
event_models.Trait.INT_TYPE, '10')
self.assertEqual(10, v)
self.assertIsInstance(v, int)
v = event_models.Trait.convert_value(
event_models.Trait.FLOAT_TYPE, '10')
self.assertEqual(10.0, v)
self.assertIsInstance(v, float)
v = event_models.Trait.convert_value(
event_models.Trait.DATETIME_TYPE, '2013-08-08 21:05:37.123456')
self.assertEqual(datetime.datetime(2013, 8, 8, 21, 5, 37, 123456), v)
self.assertIsInstance(v, datetime.datetime)
v = event_models.Trait.convert_value(
event_models.Trait.TEXT_TYPE, 10)
self.assertEqual("10", v)
self.assertIsInstance(v, six.text_type)
class TestClassModel(testbase.BaseTestCase):
ALARM = {
'alarm_id': '503490ea-ee9e-40d6-9cad-93a71583f4b2',
'enabled': True,
'type': 'threshold',
'name': 'alarm-test',
'description': 'alarm-test-description',
'timestamp': None,
'user_id': '5c76351f5fef4f6490d1048355094ca3',
'project_id': 'd83ed14a457141fc8661b4dcb3fd883d',
'state': "insufficient data",
'state_timestamp': None,
'ok_actions': [],
'alarm_actions': [],
'insufficient_data_actions': [],
'repeat_actions': False,
'time_constraints': [],
'rule': {
'comparison_operator': 'lt',
'threshold': 34,
'statistic': 'max',
'evaluation_periods': 1,
'period': 60,
'meter_name': 'cpu_util',
'query': []
}
}
def test_timestamp_cannot_be_none(self):
self.ALARM['timestamp'] = None
self.ALARM['state_timestamp'] = datetime.datetime.utcnow()
self.assertRaises(TypeError,
alarm_models.Alarm.__init__,
**self.ALARM)
def test_state_timestamp_cannot_be_none(self):
self.ALARM['timestamp'] = datetime.datetime.utcnow()
self.ALARM['state_timestamp'] = None
self.assertRaises(TypeError,
alarm_models.Alarm.__init__,
**self.ALARM)