monasca-common/monasca_common/tests/test_confluent_kafka.py
Sean McGinnis f38a954fd2
Use unittest.mock instead of third party mock
Now that we no longer support py27, we can use the standard library
unittest.mock module instead of the third party mock lib.

Change-Id: Ie775b99cdb645f072c0a22fa1a1a47448970b103
Signed-off-by: Sean McGinnis <sean.mcginnis@gmail.com>
2020-04-18 11:54:48 -05:00

193 lines
8.0 KiB
Python

# -*- coding: utf-8 -*-
# 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.
from unittest import mock
from monasca_common.confluent_kafka import consumer
from monasca_common.confluent_kafka import producer
import confluent_kafka
from oslotest import base
FAKE_KAFKA_TOPIC = 'topic'
FAKE_KAFKA_URL = 'FAKE_KAFKA_URL'
class TestConfluentKafkaProducer(base.BaseTestCase):
@mock.patch('confluent_kafka.Producer')
def setUp(self, mock_confluent_producer):
super(TestConfluentKafkaProducer, self).setUp()
self.mock_confluent_producer = mock_confluent_producer
self.prod = producer.KafkaProducer(FAKE_KAFKA_URL)
def tearDown(self):
super(TestConfluentKafkaProducer, self).tearDown()
def test_kafka_producer_init(self):
expected_config = {'bootstrap.servers': FAKE_KAFKA_URL}
self.mock_confluent_producer.assert_called_once_with(expected_config)
self.assertEqual(self.mock_confluent_producer.return_value,
self.prod._producer)
def test_kafka_producer_publish(self):
topic = FAKE_KAFKA_TOPIC
messages = [u'message']
expected_message = b'message'
self.prod.publish(topic, messages)
produce_callback = producer.KafkaProducer.delivery_report
self.prod._producer.produce.assert_called_once_with(topic,
expected_message,
None,
callback=produce_callback)
self.prod._producer.flush.assert_called_once()
def test_kafka_producer_publish_one_message_with_key(self):
topic = FAKE_KAFKA_TOPIC
one_message = u'message'
key = u'1000'
expected_message = b'message'
self.prod.publish(topic, one_message, key)
produce_callback = producer.KafkaProducer.delivery_report
self.prod._producer.produce.assert_called_once_with(topic,
expected_message,
key,
callback=produce_callback)
self.prod._producer.flush.assert_called_once()
def test_kafka_producer_publish_exception(self):
topic = FAKE_KAFKA_TOPIC
messages = [u'message']
self.prod._producer.produce.side_effect = \
confluent_kafka.KafkaException
self.assertRaises(confluent_kafka.KafkaException, self.prod.publish,
topic, messages)
@mock.patch('monasca_common.confluent_kafka.producer.log')
@mock.patch('confluent_kafka.Message')
def test_delivery_report_exception(self, mock_message, mock_logger):
self.assertRaises(confluent_kafka.KafkaException,
self.prod.delivery_report,
confluent_kafka.KafkaError,
confluent_kafka.Message)
mock_logger.exception.assert_called_once()
@mock.patch('monasca_common.confluent_kafka.producer.log')
@mock.patch('confluent_kafka.Message')
def test_delivery_report(self, mock_message, mock_logger):
self.prod.delivery_report(None, confluent_kafka.Message)
mock_logger.debug.assert_called_once()
@mock.patch('monasca_common.confluent_kafka.producer.log')
@mock.patch('confluent_kafka.Message')
def test_delivery_report_with_unicode(self, mock_message, mock_logger):
mock_message.topic.return_value = 'test_topic'
mock_message.partition.return_value = '1'
mock_message.value.return_value = 'gęś'
self.prod.delivery_report(None, mock_message)
mock_logger.debug.assert_called_once_with('Message delivered to '
'test_topic [1]: '
'gęś')
class TestConfluentKafkaConsumer(base.BaseTestCase):
@mock.patch('confluent_kafka.Consumer')
def setUp(self, mock_confluent_consumer):
super(TestConfluentKafkaConsumer, self).setUp()
self.mock_confluent_consumer = mock_confluent_consumer
self.consumer = consumer.KafkaConsumer('fake_server1,fake_server2',
'fake_group',
FAKE_KAFKA_TOPIC, 128,
'test_client',
TestConfluentKafkaConsumer.rep_callback,
TestConfluentKafkaConsumer.com_callback,
5)
@staticmethod
def rep_callback(consumer, partitions):
pass
@staticmethod
def com_callback(consumer, partitions):
pass
def tearDown(self):
super(TestConfluentKafkaConsumer, self).tearDown()
def test_kafka_consumer_init(self):
expected_config = {'group.id': 'fake_group',
'session.timeout.ms': 10000,
'bootstrap.servers': 'fake_server1,fake_server2',
'fetch.min.bytes': 128,
'client.id': 'test_client',
'enable.auto.commit': False,
'default.topic.config':
{'auto.offset.reset': 'earliest'}
}
self.mock_confluent_consumer.assert_called_once_with(expected_config)
self.assertEqual(self.consumer._consumer,
self.mock_confluent_consumer.return_value)
self.assertEqual(self.consumer._commit_callback,
TestConfluentKafkaConsumer.com_callback)
self.assertEqual(self.consumer._max_commit_interval, 5)
self.mock_confluent_consumer.return_value.subscribe \
.assert_called_once_with([FAKE_KAFKA_TOPIC],
on_revoke=TestConfluentKafkaConsumer.rep_callback)
@mock.patch('confluent_kafka.Message')
def test_kafka_consumer_iteration(self, mock_kafka_message):
mock_kafka_message.return_value.error.return_value = None
messages = []
for i in range(5):
m = mock_kafka_message.return_value
m.set_value("message{}".format(i))
messages.append(m)
self.consumer._consumer.poll.side_effect = messages
try:
for index, message in enumerate(self.consumer):
self.assertEqual(message, messages[index])
except RuntimeError as re:
if 'generator raised StopIteration' in str(re):
pass
@mock.patch('confluent_kafka.Message')
@mock.patch('confluent_kafka.KafkaError')
def test_kafka_consumer_poll_exception(self,
mock_kafka_error,
mock_kafka_message):
mock_kafka_error.return_value.str = 'fake error message'
mock_kafka_message.return_value.error.return_value = \
mock_kafka_error
messages = [mock_kafka_message.return_value]
self.consumer._consumer.poll.side_effect = messages
try:
list(self.consumer)
except Exception as ex:
self.assertIsInstance(ex, confluent_kafka.KafkaException)
@mock.patch('datetime.datetime')
def test_kafka_commit(self, mock_datetime):
self.consumer.commit()
mock_datetime.now.assert_called_once()
self.mock_confluent_consumer.return_value.commit.assert_called_once()