os-brick/os_brick/tests/base.py

159 lines
5.8 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2010-2011 OpenStack Foundation
# Copyright (c) 2013 Hewlett-Packard Development Company, L.P.
#
# 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 logging
import os
import fixtures
import mock
from oslo_log import log as oslo_logging
from oslo_utils import strutils
from oslotest import base
LOG = oslo_logging.getLogger(__name__)
class TestCase(base.BaseTestCase):
"""Test case base class for all unit tests."""
def setUp(self):
"""Run before each test method to initialize test environment."""
super(TestCase, self).setUp()
test_timeout = os.environ.get('OS_TEST_TIMEOUT', 0)
try:
test_timeout = int(test_timeout)
except ValueError:
# If timeout value is invalid do not set a timeout.
test_timeout = 0
if test_timeout > 0:
self.useFixture(fixtures.Timeout(test_timeout, gentle=True))
self.useFixture(fixtures.NestedTempfile())
self.useFixture(fixtures.TempHomeDir())
environ_enabled = (lambda var_name:
strutils.bool_from_string(os.environ.get(var_name)))
if environ_enabled('OS_STDOUT_CAPTURE'):
stdout = self.useFixture(fixtures.StringStream('stdout')).stream
self.useFixture(fixtures.MonkeyPatch('sys.stdout', stdout))
if environ_enabled('OS_STDERR_CAPTURE'):
stderr = self.useFixture(fixtures.StringStream('stderr')).stream
self.useFixture(fixtures.MonkeyPatch('sys.stderr', stderr))
if environ_enabled('OS_LOG_CAPTURE'):
log_format = '%(levelname)s [%(name)s] %(message)s'
if environ_enabled('OS_DEBUG'):
level = logging.DEBUG
else:
level = logging.INFO
self.useFixture(fixtures.LoggerFixture(nuke_handlers=False,
format=log_format,
level=level))
def _common_cleanup(self):
"""Runs after each test method to tear down test environment."""
# Stop any timers
for x in self.injected:
try:
x.stop()
except AssertionError:
pass
# Delete attributes that don't start with _ so they don't pin
# memory around unnecessarily for the duration of the test
# suite
for key in [k for k in self.__dict__.keys() if k[0] != '_']:
del self.__dict__[key]
def log_level(self, level):
"""Set logging level to the specified value."""
log_root = logging.getLogger(None).logger
log_root.setLevel(level)
def mock_object(self, obj, attr_name, new_attr=None, **kwargs):
"""Use python mock to mock an object attribute
Mocks the specified objects attribute with the given value.
Automatically performs 'addCleanup' for the mock.
"""
if not new_attr:
new_attr = mock.Mock()
patcher = mock.patch.object(obj, attr_name, new_attr, **kwargs)
patcher.start()
self.addCleanup(patcher.stop)
# Useful assertions
def assertDictMatch(self, d1, d2, approx_equal=False, tolerance=0.001):
"""Assert two dicts are equivalent.
This is a 'deep' match in the sense that it handles nested
dictionaries appropriately.
NOTE:
If you don't care (or don't know) a given value, you can specify
the string DONTCARE as the value. This will cause that dict-item
to be skipped.
"""
def raise_assertion(msg):
d1str = d1
d2str = d2
base_msg = ('Dictionaries do not match. %(msg)s d1: %(d1str)s '
'd2: %(d2str)s' %
{'msg': msg, 'd1str': d1str, 'd2str': d2str})
raise AssertionError(base_msg)
d1keys = set(d1.keys())
d2keys = set(d2.keys())
if d1keys != d2keys:
d1only = d1keys - d2keys
d2only = d2keys - d1keys
raise_assertion('Keys in d1 and not d2: %(d1only)s. '
'Keys in d2 and not d1: %(d2only)s' %
{'d1only': d1only, 'd2only': d2only})
for key in d1keys:
d1value = d1[key]
d2value = d2[key]
try:
error = abs(float(d1value) - float(d2value))
within_tolerance = error <= tolerance
except (ValueError, TypeError):
# If both values aren't convertible to float, just ignore
# ValueError if arg is a str, TypeError if it's something else
# (like None)
within_tolerance = False
if hasattr(d1value, 'keys') and hasattr(d2value, 'keys'):
self.assertDictMatch(d1value, d2value)
elif 'DONTCARE' in (d1value, d2value):
continue
elif approx_equal and within_tolerance:
continue
elif d1value != d2value:
raise_assertion("d1['%(key)s']=%(d1value)s != "
"d2['%(key)s']=%(d2value)s" %
{
'key': key,
'd1value': d1value,
'd2value': d2value,
})