fa3f4d6c5d
Resources statically defined in pipeline.yaml are currently not subject to workload partitioning, so we can't do HA. If we have multiple agents running with the same pipeline.yaml, the samples will be duplicated. This patch partitions the static resources as well. Closes-bug: #1369538 Change-Id: Iff3b33db58302fb2e89b1b3722937a031a70be5f
190 lines
7.0 KiB
Python
190 lines
7.0 KiB
Python
#
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# Copyright 2012 New Dream Network, LLC (DreamHost)
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# Copyright (c) 2013 OpenStack Foundation
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#
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# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""Tests for ceilometer/utils.py
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"""
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import datetime
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import decimal
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from oslotest import base
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from ceilometer import utils
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class TestUtils(base.BaseTestCase):
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def test_datetime_to_decimal(self):
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expected = 1356093296.12
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utc_datetime = datetime.datetime.utcfromtimestamp(expected)
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actual = utils.dt_to_decimal(utc_datetime)
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self.assertAlmostEqual(expected, float(actual), places=5)
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def test_decimal_to_datetime(self):
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expected = 1356093296.12
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dexpected = decimal.Decimal(str(expected)) # Python 2.6 wants str()
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expected_datetime = datetime.datetime.utcfromtimestamp(expected)
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actual_datetime = utils.decimal_to_dt(dexpected)
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# Python 3 have rounding issue on this, so use float
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self.assertAlmostEqual(utils.dt_to_decimal(expected_datetime),
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utils.dt_to_decimal(actual_datetime),
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places=5)
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def test_recursive_keypairs(self):
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data = {'a': 'A', 'b': 'B',
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'nested': {'a': 'A', 'b': 'B'}}
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pairs = list(utils.recursive_keypairs(data))
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self.assertEqual([('a', 'A'), ('b', 'B'),
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('nested:a', 'A'), ('nested:b', 'B')],
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pairs)
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def test_recursive_keypairs_with_separator(self):
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data = {'a': 'A',
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'b': 'B',
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'nested': {'a': 'A',
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'b': 'B',
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},
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}
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separator = '.'
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pairs = list(utils.recursive_keypairs(data, separator))
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self.assertEqual([('a', 'A'),
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('b', 'B'),
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('nested.a', 'A'),
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('nested.b', 'B')],
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pairs)
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def test_recursive_keypairs_with_list_of_dict(self):
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small = 1
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big = 1 << 64
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expected = [('a', 'A'),
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('b', 'B'),
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('nested:list', ['{%d: 99, %d: 42}' % (small, big)])]
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data = {'a': 'A',
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'b': 'B',
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'nested': {'list': [{small: 99, big: 42}]}}
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pairs = list(utils.recursive_keypairs(data))
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self.assertEqual(len(expected), len(pairs))
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for k, v in pairs:
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# the keys 1 and 1<<64 cause a hash collision on 64bit platforms
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if k == 'nested:list':
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self.assertIn(v,
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[[('{%d: 99, %d: 42}'
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% (small, big)).encode('ascii')],
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[('{%d: 99, %dL: 42}'
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% (small, big)).encode('ascii')],
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[('{%d: 42, %d: 99}'
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% (big, small)).encode('ascii')],
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[('{%dL: 42, %d: 99}'
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% (big, small)).encode('ascii')]])
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else:
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self.assertIn((k, v), expected)
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def test_restore_nesting_unested(self):
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metadata = {'a': 'A', 'b': 'B'}
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unwound = utils.restore_nesting(metadata)
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self.assertIs(metadata, unwound)
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def test_restore_nesting(self):
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metadata = {'a': 'A', 'b': 'B',
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'nested:a': 'A',
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'nested:b': 'B',
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'nested:twice:c': 'C',
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'nested:twice:d': 'D',
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'embedded:e': 'E'}
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unwound = utils.restore_nesting(metadata)
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expected = {'a': 'A', 'b': 'B',
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'nested': {'a': 'A', 'b': 'B',
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'twice': {'c': 'C', 'd': 'D'}},
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'embedded': {'e': 'E'}}
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self.assertEqual(expected, unwound)
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self.assertIsNot(metadata, unwound)
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def test_restore_nesting_with_separator(self):
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metadata = {'a': 'A', 'b': 'B',
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'nested.a': 'A',
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'nested.b': 'B',
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'nested.twice.c': 'C',
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'nested.twice.d': 'D',
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'embedded.e': 'E'}
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unwound = utils.restore_nesting(metadata, separator='.')
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expected = {'a': 'A', 'b': 'B',
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'nested': {'a': 'A', 'b': 'B',
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'twice': {'c': 'C', 'd': 'D'}},
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'embedded': {'e': 'E'}}
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self.assertEqual(expected, unwound)
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self.assertIsNot(metadata, unwound)
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def test_decimal_to_dt_with_none_parameter(self):
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self.assertIsNone(utils.decimal_to_dt(None))
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def test_dict_to_kv(self):
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data = {'a': 'A',
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'b': 'B',
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'nested': {'a': 'A',
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'b': 'B',
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},
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'nested2': [{'c': 'A'}, {'c': 'B'}]
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}
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pairs = list(utils.dict_to_keyval(data))
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self.assertEqual([('a', 'A'),
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('b', 'B'),
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('nested.a', 'A'),
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('nested.b', 'B'),
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('nested2[0].c', 'A'),
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('nested2[1].c', 'B')],
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sorted(pairs, key=lambda x: x[0]))
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def test_hash_of_set(self):
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x = ['a', 'b']
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y = ['a', 'b', 'a']
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z = ['a', 'c']
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self.assertEqual(utils.hash_of_set(x), utils.hash_of_set(y))
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self.assertNotEqual(utils.hash_of_set(x), utils.hash_of_set(z))
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self.assertNotEqual(utils.hash_of_set(y), utils.hash_of_set(z))
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def test_hash_ring(self):
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num_nodes = 10
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num_keys = 1000
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nodes = [str(x) for x in range(num_nodes)]
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hr = utils.HashRing(nodes)
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buckets = [0] * num_nodes
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assignments = [-1] * num_keys
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for k in range(num_keys):
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n = int(hr.get_node(str(k)))
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self.assertTrue(0 <= n <= num_nodes)
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buckets[n] += 1
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assignments[k] = n
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# at least something in each bucket
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self.assertTrue(all((c > 0 for c in buckets)))
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# approximately even distribution
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diff = max(buckets) - min(buckets)
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self.assertTrue(diff < 0.3 * (num_keys / num_nodes))
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# consistency
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num_nodes += 1
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nodes.append(str(num_nodes + 1))
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hr = utils.HashRing(nodes)
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for k in range(num_keys):
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n = int(hr.get_node(str(k)))
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assignments[k] -= n
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reassigned = len([c for c in assignments if c != 0])
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self.assertTrue(reassigned < num_keys / num_nodes)
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