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deb-python-ceilometerclient/ceilometerclient/tests/test_utils.py

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Python

# Copyright 2013 OpenStack Foundation
# All Rights Reserved.
#
# 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 cStringIO
import sys
from ceilometerclient.common import utils
from ceilometerclient.tests import utils as test_utils
class UtilsTest(test_utils.BaseTestCase):
def test_prettytable(self):
class Struct:
def __init__(self, **entries):
self.__dict__.update(entries)
# test that the prettytable output is wellformatted (left-aligned)
saved_stdout = sys.stdout
try:
sys.stdout = output_dict = cStringIO.StringIO()
utils.print_dict({'K': 'k', 'Key': 'Value'})
finally:
sys.stdout = saved_stdout
self.assertEqual(output_dict.getvalue(), '''\
+----------+-------+
| Property | Value |
+----------+-------+
| K | k |
| Key | Value |
+----------+-------+
''')
def test_args_array_to_dict(self):
my_args = {
'matching_metadata': ['metadata.key=metadata_value'],
'other': 'value'
}
cleaned_dict = utils.args_array_to_dict(my_args,
"matching_metadata")
self.assertEqual(cleaned_dict, {
'matching_metadata': {'metadata.key': 'metadata_value'},
'other': 'value'
})
def test_key_with_slash_to_nested_dict(self):
my_args = {
'combination_rule/alarm_ids': ['id1', 'id2'],
'combination_rule/operator': 'and',
'threshold_rule/threshold': 400,
'threshold_rule/statictic': 'avg',
'threshold_rule/comparison_operator': 'or',
}
nested_dict = utils.key_with_slash_to_nested_dict(my_args)
self.assertEqual(nested_dict, {
'combination_rule': {'alarm_ids': ['id1', 'id2'],
'operator': 'and'},
'threshold_rule': {'threshold': 400,
'statictic': 'avg',
'comparison_operator': 'or'},
})