def test_detector_should_be_able_to_calculate_total_probability():
detector = Detector()
models.add_event('edge', 'edge_01', {u'cpu': u'2', u'mem': u'10'}, time.time())
event = helpers.get_fake_event()
cpu_prob = detector.calculate_probability_by_metric("cpu", event)
mem_prob = detector.calculate_probability_by_metric("mem", event)
assert cpu_prob * mem_prob == detector.calculate_total_probability(event)
def test_detector_should_calculate_probability_for_each_metric(monkeypatch):
event = helpers.get_fake_event()
list_of_keys = ['cpu', 'mem']
def fake_calculate_probability_by_metric(key, event):
list_of_keys.remove(key)
return 1
detector = Detector()
monkeypatch.setattr(detector, 'calculate_probability_by_metric', fake_calculate_probability_by_metric)
detector.detect_anomaly(event)
assert not list_of_keys
def test_detector_should_be_able_to_get_bucket():
detector = Detector()
event = helpers.get_fake_event()
assert 'edge' == detector.get_bucket(event)
def test_detector_should_be_able_to_get_current_value():
detector = Detector()
event = helpers.get_fake_event()
assert 2.5 == detector.get_current_value(event, "cpu")
assert 40 == detector.get_current_value(event, "mem")
def test_detector_should_be_able_to_fetch_the_metrics_from_event():
event = helpers.get_fake_event()
detector = Detector()
assert sorted(["cpu", "mem"]) == sorted(detector.get_metrics(event))
def test_detector_should_be_able_to_detect_anomaly():
detector = Detector()
event = helpers.get_fake_event()
assert False == detector.detect_anomaly(event)
