def test_record(self):
d = DistributionSummary(self.tid,
meter_type="D",
writer=MemoryWriter())
self.assertTrue(d._writer.is_empty())
d.record(42)
self.assertEqual("D:test:42", d._writer.last_line())
def test_record_multiple(self):
t = DistributionSummary(DistributionSummaryTest.tid)
t.record(42)
t.record(2)
t.record(7)
self.assertEqual(t.count(), 3)
self.assertEqual(t.total_amount(), 51)
def test_measure(self):
t = DistributionSummary(DistributionSummaryTest.tid)
t.record(42)
t.record(2)
t.record(7)
ms = t._measure()
def get_stat(s):
return ms[DistributionSummaryTest.tid.with_stat(s)]
self.assertEqual(len(ms), 4)
self.assertEqual(get_stat('count'), 3)
self.assertEqual(get_stat('totalAmount'), 51)
self.assertEqual(get_stat('max'), 42)
self.assertEqual(get_stat('totalOfSquares'), 42**2 + 2**2 + 7**2)
self.assertEqual(t.count(), 0)
self.assertEqual(t.total_amount(), 0)
def test_count_and_total_amount(self):
"""Avoid breaking the API."""
d = DistributionSummary(self.tid, writer=MemoryWriter())
self.assertTrue(d._writer.is_empty())
d.record(42)
self.assertEqual(0, d.count())
self.assertEqual(0, d.total_amount())
def distribution_summary(self, name, tags=None):
return self._new_meter(name, tags, lambda id: DistributionSummary(id),
DistributionSummary,
self.noopDistributionSummary)
def test_record_zero(self):
d = DistributionSummary(self.tid,
meter_type="D",
writer=MemoryWriter())
d.record(0)
self.assertEqual("D:test:0", d._writer.last_line())
def test_record_negative(self):
d = DistributionSummary(self.tid,
meter_type="D",
writer=MemoryWriter())
d.record(-42)
self.assertTrue(d._writer.is_empty())
def test_invalid_meter_type(self):
with self.assertRaises(ValueError):
DistributionSummary(self.tid, meter_type='x')
def test_record(self):
t = DistributionSummary(DistributionSummaryTest.tid)
t.record(42)
self.assertEqual(t.count(), 1)
self.assertEqual(t.total_amount(), 42)
def test_record_negative(self):
t = DistributionSummary(DistributionSummaryTest.tid)
t.record(-42)
self.assertEqual(t.count(), 0)
self.assertEqual(t.total_amount(), 0)
def pct_distribution_summary(self, name: str,
tags: Optional[dict] = None) -> DistributionSummary:
return DistributionSummary(self._new_meter(name, tags), meter_type="D", writer=self._writer)
