def test_classify_single_metric(self):
mc = MetricClassifier(goodmetricdefs)
for m in okmetrics:
self.assertEqual(mc.classify(m[0], m[1]), 'OK')
for m in warnmetrics:
self.assertEqual(mc.classify(m[0], m[1]), 'WARNING')
for m in criticalmetrics:
self.assertEqual(mc.classify(m[0], m[1]), 'CRITICAL')
def test_classify_process(self):
mc = MetricClassifier(goodmetricdefs)
self.assertEqual(mc.classify_metrics(samplemetrics), samplemetricresults)
self.assertEqual(mc.worst_metric(samplemetrics), ('d', 3))
self.assertEqual(mc.return_code(samplemetrics), 3)
self.assertEqual(mc.return_code(samplemetrics, unknown_as_critical=True), 2)
def test_classify_multiple_metrics(self):
mc = MetricClassifier(goodmetricdefs)
self.assertEqual(mc.classify_metrics(samplemetrics), samplemetricresults)
def test_create_good_metricclassifier(self):
mc = MetricClassifier(goodmetricdefs)
self.assertNotEqual(mc, None)
def __init__(self, checks, objs):
self.checks = checks
self.objs = objs
self.mc = MetricClassifier(_metricdefs)
def __init__(self, checks):
self.checks = checks
self.mc = MetricClassifier(_metricdefs)
self.metrics = {}
self.objs = {}
