def test_histogram_of_numbers_1_through_10000(self):
sample = UniformSample(100000)
histogram = HistogramMetricReporter(sample)
for i in range(1, 10001):
histogram.update(i)
self.assertEqual(histogram.count, 10000,
'Should have a count of 10000')
self.assertEqual(histogram.max(), 10000, 'Should have a max of 10000')
self.assertEqual(histogram.min(), 1, 'Should have a min of 1')
self.assertTrue((math.fabs(histogram.mean() - 5000.5) < 0.01),
'Should have a mean value of 5000.5')
self.assertTrue((math.fabs(histogram.std_dev() - 2886.89) < 0.01),
'Should have a standard deviation of X')
percentiles = histogram.percentiles(0.5, 0.75, 0.99)
self.assertTrue((math.fabs(percentiles[0] - 5000.5) < 0.01),
'Should calculate percentiles')
self.assertTrue((math.fabs(percentiles[1] - 7500.75) < 0.01),
'Should calculate percentiles')
self.assertTrue((math.fabs(percentiles[2] - 9900.99) < 0.01),
'Should calculate percentiles')
values = [i for i in range(1, 10001)]
self.assertEqual(histogram.get_values(), values,
'Should have 10000 values')
def test_histogram_histogram(self):
sample = UniformSample(100000)
histogram = HistogramMetricReporter(sample)
for i in range(1001, 11001):
histogram.update(i)
hist = histogram.histogram()
self.assertEqual(sum(hist), 10000)
total = sum(hist)
binsize = int(total / len(hist))
for i in hist:
self.assertTrue(abs(i - binsize) <= 1)
def __init__(self, name, wall_time_func=time.time, prefix=""):
"""Construct a metric we expect to be periodically updated.
@param name: Indicates what is being instrumented.
@param wall_time_func: Function for obtaining wall time.
@param prefix: If present, a string to prepend to the message
composed when C{report} is called.
"""
self.name = name
self.wall_time_func = wall_time_func
if prefix:
prefix += "."
self.prefix = prefix
sample = UniformSample(1028)
self.histogram = HistogramMetricReporter(sample)
# total number of values seen
self.count = 0
self.clear()
def test_histogram_with_zero_recorded_values(self):
sample = UniformSample(100)
histogram = HistogramMetricReporter(sample)
self.assertEqual(histogram.count, 0, 'Should have a count of 0')
self.assertEqual(histogram.max(), 0, 'Should have a max of 0')
self.assertEqual(histogram.min(), 0, 'Should have a min of 0')
self.assertEqual(histogram.mean(), 0, 'Should have a mean of 0')
self.assertEqual(histogram.std_dev(), 0,
'Should have a standard deviation of 0')
percentiles = histogram.percentiles(0.5, 0.75, 0.99)
self.assertTrue((math.fabs(percentiles[0] - 0) < 0.01),
'Should calculate percentiles')
self.assertTrue((math.fabs(percentiles[1] - 0) < 0.01),
'Should calculate percentiles')
self.assertTrue((math.fabs(percentiles[2] - 0) < 0.01),
'Should calculate percentiles')
self.assertEqual(len(histogram.get_values()), 0,
'Should have no values')
