def test_distribution(self):
# Create some fake metrics.
dog = ThreadStats()
dog.start(roll_up_interval=10, flush_in_thread=False)
reporter = dog.reporter = MemoryReporter()
dog.distribution('test.dist.1', 20, 100.0)
dog.distribution('test.dist.1', 22, 105.0)
dog.distribution('test.dist.2', 30, 115.0)
dog.distribution('test.dist.3', 30, 125.0)
dog.flush(120.0)
# Assert they've been properly flushed.
dists = self.sort_metrics(reporter.distributions)
nt.assert_equal(len(dists), 2)
(first, second) = dists
nt.assert_equal(first['metric'], 'test.dist.1')
nt.assert_equal(first['points'][0][0], 100.0)
nt.assert_equal(first['points'][0][1], [20, 22])
nt.assert_equal(second['metric'], 'test.dist.2')
# Flush again and make sure we're progressing.
reporter.distributions = []
dog.flush(130.0)
nt.assert_equal(len(reporter.distributions), 1)
# Finally, make sure we've flushed all metrics.
reporter.distributions = []
dog.flush(150.0)
nt.assert_equal(len(reporter.distributions), 0)
