Balazs Gibizer 7b3968d9b0 [rabbit] use retry parameters during notification sending
The rabbit backend now applies the [oslo_messaging_notifications]retry,
[oslo_messaging_rabbit]rabbit_retry_interval, rabbit_retry_backoff and
rabbit_interval_max configuration parameters when tries to establish the
connection to the message bus during notification sending.

This patch also clarifies the differences between the behavior
of the kafka and the rabbit drivers in this regard.

Closes-Bug: #1917645
Change-Id: Id4ccafc95314c86ae918336e42cca64a6acd4d94
2022-01-12 12:22:55 +01:00

130 lines
3.6 KiB
Python

# Copyright 2013 Red Hat, Inc.
#
# 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 threading
import uuid
import fixtures
import testscenarios
from oslo_messaging._drivers import pool
from oslo_messaging.tests import utils as test_utils
load_tests = testscenarios.load_tests_apply_scenarios
class PoolTestCase(test_utils.BaseTestCase):
_max_size = [
('default_size', dict(max_size=None, n_iters=4)),
('set_max_size', dict(max_size=10, n_iters=10)),
]
_create_error = [
('no_create_error', dict(create_error=False)),
('create_error', dict(create_error=True)),
]
@classmethod
def generate_scenarios(cls):
cls.scenarios = testscenarios.multiply_scenarios(cls._max_size,
cls._create_error)
class TestPool(pool.Pool):
def create(self, retry=None):
return uuid.uuid4()
class ThreadWaitWaiter(object):
"""A gross hack.
Stub out the condition variable's wait() method and spin until it
has been called by each thread.
"""
def __init__(self, cond, n_threads, test):
self.cond = cond
self.test = test
self.n_threads = n_threads
self.n_waits = 0
self.orig_wait = cond.wait
def count_waits(**kwargs):
self.n_waits += 1
self.orig_wait(**kwargs)
self.test.useFixture(fixtures.MockPatchObject(
self.cond, 'wait', count_waits))
def wait(self):
while self.n_waits < self.n_threads:
pass
self.test.useFixture(fixtures.MockPatchObject(
self.cond, 'wait', self.orig_wait))
def test_pool(self):
kwargs = {}
if self.max_size is not None:
kwargs['max_size'] = self.max_size
p = self.TestPool(**kwargs)
if self.create_error:
def create_error(retry=None):
raise RuntimeError
orig_create = p.create
self.useFixture(fixtures.MockPatchObject(
p, 'create', create_error))
self.assertRaises(RuntimeError, p.get)
self.useFixture(fixtures.MockPatchObject(
p, 'create', orig_create))
objs = []
for i in range(self.n_iters):
objs.append(p.get())
self.assertIsInstance(objs[i], uuid.UUID)
def wait_for_obj():
o = p.get()
self.assertIn(o, objs)
waiter = self.ThreadWaitWaiter(p._cond, self.n_iters, self)
threads = []
for i in range(self.n_iters):
t = threading.Thread(target=wait_for_obj)
t.start()
threads.append(t)
waiter.wait()
for o in objs:
p.put(o)
for t in threads:
t.join()
for o in objs:
p.put(o)
for o in p.iter_free():
self.assertIn(o, objs)
objs.remove(o)
self.assertEqual([], objs)
PoolTestCase.generate_scenarios()