def test_observe_disabled(self):
meter = metrics.MeterProvider().get_meter(__name__)
observer = metrics.Observer(None, "name", "desc", "unit", int, meter,
("key", ), False)
labels = {"key": "value"}
observer.observe(37, labels)
self.assertEqual(len(observer.aggregators), 0)
def test_observe_incorrect_type(self, logger_mock):
meter = metrics.MeterProvider().get_meter(__name__)
observer = metrics.Observer(None, "name", "desc", "unit", int, meter,
("key", ), True)
labels = {"key": "value"}
observer.observe(37.0, labels)
self.assertEqual(len(observer.aggregators), 0)
self.assertTrue(logger_mock.warning.called)
def test_run(self):
meter = metrics.MeterProvider().get_meter(__name__)
callback = mock.Mock()
observer = metrics.Observer(callback, "name", "desc", "unit", int,
meter, (), True)
self.assertTrue(observer.run())
callback.assert_called_once_with(observer)
def test_run_exception(self, logger_mock):
meter = metrics.MeterProvider().get_meter(__name__)
callback = mock.Mock()
callback.side_effect = Exception("We have a problem!")
observer = metrics.Observer(callback, "name", "desc", "unit", int,
meter, (), True)
self.assertFalse(observer.run())
self.assertTrue(logger_mock.warning.called)
def test_collect_observers(self):
meter = metrics.MeterProvider().get_meter(__name__)
batcher_mock = mock.Mock()
meter.batcher = batcher_mock
def callback(observer):
self.assertIsInstance(observer, metrics_api.Observer)
observer.observe(45, {})
observer = metrics.Observer(callback, "name", "desc", "unit", int,
meter, (), True)
meter.observers.add(observer)
meter.collect()
self.assertTrue(batcher_mock.process.called)
def test_observe(self):
meter = metrics.MeterProvider().get_meter(__name__)
observer = metrics.Observer(None, "name", "desc", "unit", int, meter,
("key", ), True)
labels = {"key": "value"}
key_labels = tuple(sorted(labels.items()))
values = (37, 42, 7, 21)
for val in values:
observer.observe(val, labels)
self.assertEqual(
observer.aggregators[key_labels].mmsc.current,
(min(values), max(values), sum(values), len(values)),
)
self.assertEqual(observer.aggregators[key_labels].current, values[-1])
def test_observe(self):
meter = metrics.MeterProvider().get_meter(__name__)
observer = metrics.Observer(None, "name", "desc", "unit", int, meter,
("key", ), True)
kvp = {"key": "value"}
label_set = meter.get_label_set(kvp)
values = (37, 42, 7, 21)
for val in values:
observer.observe(val, label_set)
self.assertEqual(
observer.aggregators[label_set].mmsc.current,
(min(values), max(values), sum(values), len(values)),
)
self.assertEqual(observer.aggregators[label_set].current, values[-1])
