def test_enabled(self):
metrics._prepare_for_test(enabled=True)
c = metrics.MapCounter("foo")
# Check contents of an empty map.
self.assertEquals(0, c._total)
# Increment a few values and check again.
c.inc("x")
c.inc("y", 2)
c.inc("x", 5)
self.assertEquals(8, c._total)
self.assertDictEqual(dict(x=6, y=2), c._counts)
self.assertEquals("foo: 8 {x=6, y=2}", str(c))
def test_summary(self):
metrics._prepare_for_test()
d = metrics.Distribution("foo")
self.assertEquals(
"foo: total=0.0, count=0, min=None, max=None, mean=None, stdev=None",
str(d))
# This test is delicate because it is checking the string output of
# floating point calculations. This specific data set was chosen because
# the number of samples is a power of two (thus the division is exact) and
# the variance is a natural square (thus the sqrt() is exact).
d.add(1)
d.add(5)
self.assertEquals(
"foo: total=6.0, count=2, min=1, max=5, mean=3.0, stdev=2.0",
str(d))
def test_merge_from(self):
# Create a counter, increment it, and dump it.
c1 = metrics.Counter("foo")
c1.inc(1)
dump = metrics.dump([c1], encoding=None)
# Reset metrics, merge from dump, which will create a new metric.
metrics._prepare_for_test()
self.assertFalse(metrics._registered_metrics)
metrics.merge_from_file(moves.cStringIO(dump))
m = metrics._registered_metrics["foo"]
self.assertEqual(1, m._total)
# Merge again, this time it will merge data into the existing metric.
metrics.merge_from_file(moves.cStringIO(dump))
self.assertEqual(2, m._total)
# It's an error to merge an incompatible type.
metrics._prepare_for_test()
_ = metrics.MapCounter("foo")
self.assertRaises(TypeError, metrics.merge_from_file,
moves.cStringIO(dump))
def test_merge_from(self):
# Create a counter, increment it, and dump it.
c1 = metrics.Counter("foo")
c1.inc(1)
dump = yaml.dump([c1])
# Reset metrics, merge from dump, which will create a new metric.
metrics._prepare_for_test()
self.assertEquals(0, len(metrics._registered_metrics))
metrics.merge_from_file(cStringIO.StringIO(dump))
m = metrics._registered_metrics["foo"]
self.assertEquals(1, m._total)
# Merge again, this time it will merge data into the existing metric.
metrics.merge_from_file(cStringIO.StringIO(dump))
self.assertEquals(2, m._total)
# It's an error to merge an incompatible type.
metrics._prepare_for_test()
_ = metrics.MapCounter("foo")
self.assertRaises(TypeError, metrics.merge_from_file,
cStringIO.StringIO(dump))
def test_accumulation(self):
metrics._prepare_for_test()
d = metrics.Distribution("foo")
# Check contents of an empty distribution.
self.assertEquals(0, d._count)
self.assertEquals(0, d._total)
self.assertIsNone(d._min)
self.assertIsNone(d._max)
self.assertIsNone(d._mean())
self.assertIsNone(d._stdev())
# Add some values.
d.add(3)
d.add(2)
d.add(5)
# Check the final contents.
self.assertEquals(3, d._count)
self.assertEquals(10, d._total)
self.assertEquals(2, d._min)
self.assertEquals(5, d._max)
self.assertAlmostEqual(10.0 / 3, d._mean())
# Stddev should be sqrt(14/9).
self.assertAlmostEqual(math.sqrt(14.0 / 9), d._stdev())
def test_counter_disabled(self):
metrics._prepare_for_test(enabled=False)
c = metrics.Counter("foo")
c.inc()
self.assertEqual(0, c._total)
def setUp(self):
super().setUp()
metrics._prepare_for_test(False)
self._counter = metrics.Counter("foo")
def test_disabled(self):
metrics._prepare_for_test(enabled=False)
d = metrics.Distribution("foo")
d.add(123)
self.assertEqual(0, d._count)
def setUp(self):
super().setUp()
metrics._prepare_for_test()
def setUp(self): metrics._prepare_for_test()
def test_disabled(self):
metrics._prepare_for_test(enabled=False)
c = metrics.MapCounter("foo")
c.inc("x")
self.assertEquals(0, c._total)
def setUp(self):
metrics._prepare_for_test(False)
self._counter = metrics.Counter("foo")
def setUp(self): metrics._prepare_for_test()
def test_disabled(self):
metrics._prepare_for_test(enabled=False)
d = metrics.Distribution("foo")
d.add(123)
self.assertEquals(0, d._count)
