Add UT: ArithmeticRunner worker normal operation

* Use time.sleep to avoid multiprocessing.Queue broken pipe error.

JIRA: YARDSTICK-1245

Change-Id: I0176c062f44830804ddbeebeb012afc1f9e20d41
Signed-off-by: Miikka Koistinen <miikka.koistinen@nokia.com>

1 files changed, 182 insertions, 0 deletions

diff --git a/yardstick/tests/unit/benchmark/runner/test_arithmetic.py b/yardstick/tests/unit/benchmark/runner/test_arithmetic.py
index 7fda011d2..7b1e1e976 100644
--- a/yardstick/tests/unit/benchmark/runner/test_arithmetic.py
+++ b/yardstick/tests/unit/benchmark/runner/test_arithmetic.py
@@ -11,16 +11,52 @@ import mock
 import unittest
 import multiprocessing
 import os
+import time
 
 from yardstick.benchmark.runners import arithmetic
 
 
 class ArithmeticRunnerTest(unittest.TestCase):
+    class MyMethod(object):
+        def __init__(self):
+            self.count = 101
+
+        def __call__(self, data):
+            self.count += 1
+            data['my_key'] = self.count
+            return self.count
+
     def setUp(self):
         self.scenario_cfg = {
+            'runner': {
+                'interval': 0,
+                'iter_type': 'nested_for_loops',
+                'iterators': [
+                    {
+                        'name': 'stride',
+                        'start': 64,
+                        'stop': 128,
+                        'step': 64
+                    },
+                    {
+                        'name': 'size',
+                        'start': 500,
+                        'stop': 2000,
+                        'step': 500
+                    }
+                ]
+            },
             'type': 'some_type'
         }
 
+        self.benchmark = mock.Mock()
+        self.benchmark_cls = mock.Mock(return_value=self.benchmark)
+
+    def _assert_defaults__worker_process_run_setup_and_teardown(self):
+        self.benchmark_cls.assert_called_once_with(self.scenario_cfg, {})
+        self.benchmark.setup.assert_called_once()
+        self.benchmark.teardown.assert_called_once()
+
     @mock.patch.object(os, 'getpid')
     @mock.patch.object(multiprocessing, 'Process')
     def test__run_benchmark_called_with(self, mock_multiprocessing_process,
@@ -36,3 +72,149 @@ class ArithmeticRunnerTest(unittest.TestCase):
             target=arithmetic._worker_process,
             args=(runner.result_queue, benchmark_cls, 'my_method',
                   self.scenario_cfg, {}, runner.aborted, runner.output_queue))
+
+    @mock.patch.object(os, 'getpid')
+    def test__worker_process_runner_id(self, mock_os_getpid):
+        mock_os_getpid.return_value = 101
+
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   multiprocessing.Event(), mock.Mock())
+
+        self.assertEqual(self.scenario_cfg['runner']['runner_id'], 101)
+
+    @mock.patch.object(time, 'sleep')
+    def test__worker_process_calls_nested_for_loops(self, mock_time_sleep):
+        self.scenario_cfg['runner']['interval'] = 99
+
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   multiprocessing.Event(), mock.Mock())
+
+        self._assert_defaults__worker_process_run_setup_and_teardown()
+        self.benchmark.my_method.assert_has_calls([mock.call({})] * 8)
+        self.assertEqual(self.benchmark.my_method.call_count, 8)
+        mock_time_sleep.assert_has_calls([mock.call(99)] * 8)
+        self.assertEqual(mock_time_sleep.call_count, 8)
+
+    @mock.patch.object(time, 'sleep')
+    def test__worker_process_calls_tuple_loops(self, mock_time_sleep):
+        self.scenario_cfg['runner']['interval'] = 99
+        self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
+
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   multiprocessing.Event(), mock.Mock())
+
+        self._assert_defaults__worker_process_run_setup_and_teardown()
+        self.benchmark.my_method.assert_has_calls([mock.call({})] * 2)
+        self.assertEqual(self.benchmark.my_method.call_count, 2)
+        mock_time_sleep.assert_has_calls([mock.call(99)] * 2)
+        self.assertEqual(mock_time_sleep.call_count, 2)
+
+    def test__worker_process_stored_options_nested_for_loops(self):
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   multiprocessing.Event(), mock.Mock())
+
+        self.assertDictEqual(self.scenario_cfg['options'],
+                             {'stride': 128, 'size': 2000})
+
+    def test__worker_process_stored_options_tuple_loops(self):
+        self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
+
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   multiprocessing.Event(), mock.Mock())
+
+        self.assertDictEqual(self.scenario_cfg['options'],
+                             {'stride': 128, 'size': 1000})
+
+    def test__worker_process_aborted_set_early(self):
+        aborted = multiprocessing.Event()
+        aborted.set()
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   aborted, mock.Mock())
+
+        self._assert_defaults__worker_process_run_setup_and_teardown()
+        self.assertEqual(self.scenario_cfg['options'], {})
+        self.benchmark.my_method.assert_not_called()
+
+    def test__worker_process_output_queue_nested_for_loops(self):
+        self.benchmark.my_method = self.MyMethod()
+
+        output_queue = multiprocessing.Queue()
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   multiprocessing.Event(), output_queue)
+        time.sleep(0.01)
+
+        self._assert_defaults__worker_process_run_setup_and_teardown()
+        self.assertEqual(self.benchmark.my_method.count, 109)
+        result = []
+        while not output_queue.empty():
+            result.append(output_queue.get())
+        self.assertListEqual(result, [102, 103, 104, 105, 106, 107, 108, 109])
+
+    def test__worker_process_output_queue_tuple_loops(self):
+        self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
+        self.benchmark.my_method = self.MyMethod()
+
+        output_queue = multiprocessing.Queue()
+        arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
+                                   'my_method', self.scenario_cfg, {},
+                                   multiprocessing.Event(), output_queue)
+        time.sleep(0.01)
+
+        self._assert_defaults__worker_process_run_setup_and_teardown()
+        self.assertEqual(self.benchmark.my_method.count, 103)
+        result = []
+        while not output_queue.empty():
+            result.append(output_queue.get())
+        self.assertListEqual(result, [102, 103])
+
+    def test__worker_process_queue_nested_for_loops(self):
+        self.benchmark.my_method = self.MyMethod()
+
+        queue = multiprocessing.Queue()
+        timestamp = time.time()
+        arithmetic._worker_process(queue, self.benchmark_cls, 'my_method',
+                                   self.scenario_cfg, {},
+                                   multiprocessing.Event(), mock.Mock())
+        time.sleep(0.01)
+
+        self._assert_defaults__worker_process_run_setup_and_teardown()
+        self.assertEqual(self.benchmark.my_method.count, 109)
+        count = 0
+        while not queue.empty():
+            count += 1
+            result = queue.get()
+            self.assertEqual(result['errors'], '')
+            self.assertEqual(result['data'], {'my_key': count + 101})
+            self.assertEqual(result['sequence'], count)
+            self.assertGreater(result['timestamp'], timestamp)
+            timestamp = result['timestamp']
+
+    def test__worker_process_queue_tuple_loops(self):
+        self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
+        self.benchmark.my_method = self.MyMethod()
+
+        queue = multiprocessing.Queue()
+        timestamp = time.time()
+        arithmetic._worker_process(queue, self.benchmark_cls, 'my_method',
+                                   self.scenario_cfg, {},
+                                   multiprocessing.Event(), mock.Mock())
+        time.sleep(0.01)
+
+        self._assert_defaults__worker_process_run_setup_and_teardown()
+        self.assertEqual(self.benchmark.my_method.count, 103)
+        count = 0
+        while not queue.empty():
+            count += 1
+            result = queue.get()
+            self.assertEqual(result['errors'], '')
+            self.assertEqual(result['data'], {'my_key': count + 101})
+            self.assertEqual(result['sequence'], count)
+            self.assertGreater(result['timestamp'], timestamp)
+            timestamp = result['timestamp']