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-rw-r--r--yardstick/tests/functional/common/messaging/test_messaging.py99
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diff --git a/yardstick/tests/functional/common/messaging/test_messaging.py b/yardstick/tests/functional/common/messaging/test_messaging.py
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+# Copyright (c) 2018 Intel Corporation
+#
+# 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 multiprocessing
+import time
+
+from yardstick.common.messaging import consumer
+from yardstick.common.messaging import payloads
+from yardstick.common.messaging import producer
+from yardstick.tests.functional import base
+
+
+TOPIC = 'topic_MQ'
+METHOD_INFO = 'info'
+
+
+class DummyPayload(payloads.Payload):
+ REQUIRED_FIELDS = {'version', 'data'}
+
+
+class DummyEndpoint(consumer.NotificationHandler):
+
+ def info(self, ctxt, **kwargs):
+ if ctxt['id'] in self._ctx_ids:
+ self._queue.put('Nr {}, data: {}, id: {}'.format(
+ self._id, kwargs['data'], ctxt['id']))
+
+
+class DummyConsumer(consumer.MessagingConsumer):
+
+ def __init__(self, _id, ctx_ids, queue):
+ self._id = _id
+ endpoints = [DummyEndpoint(_id, ctx_ids, queue)]
+ super(DummyConsumer, self).__init__(TOPIC, ctx_ids, endpoints)
+
+
+class DummyProducer(producer.MessagingProducer):
+ pass
+
+
+def _run_consumer(_id, ctx_ids, queue):
+ _consumer = DummyConsumer(_id, ctx_ids, queue)
+ _consumer.start_rpc_server()
+ _consumer.wait()
+
+
+class MessagingTestCase(base.BaseFunctionalTestCase):
+
+ @staticmethod
+ def _terminate_consumers(num_consumers, processes):
+ for i in range(num_consumers):
+ processes[i].terminate()
+
+ def test_run_five_consumers(self):
+ output_queue = multiprocessing.Queue()
+ num_consumers = 10
+ ctx_1 = 100001
+ ctx_2 = 100002
+ producers = [DummyProducer(TOPIC, _id=ctx_1),
+ DummyProducer(TOPIC, _id=ctx_2)]
+
+ processes = []
+ for i in range(num_consumers):
+ processes.append(multiprocessing.Process(
+ name='consumer_{}'.format(i),
+ target=_run_consumer,
+ args=(i, [ctx_1, ctx_2], output_queue)))
+ processes[i].start()
+ self.addCleanup(self._terminate_consumers, num_consumers, processes)
+
+ time.sleep(2) # Let consumers to create the listeners
+ for producer in producers:
+ for message in ['message 0', 'message 1']:
+ producer.send_message(METHOD_INFO,
+ DummyPayload(version=1, data=message))
+
+ time.sleep(2) # Let consumers attend the calls
+ output = []
+ while not output_queue.empty():
+ output.append(output_queue.get(True, 1))
+
+ self.assertEqual(num_consumers * 4, len(output))
+ msg_template = 'Nr {}, data: {}, id: {}'
+ for i in range(num_consumers):
+ for ctx in [ctx_1, ctx_2]:
+ for message in ['message 0', 'message 1']:
+ msg = msg_template.format(i, message, ctx)
+ self.assertIn(msg, output)