def test_reporter(metrics):
reporter = DictReporter()
foo_reporter = DictReporter(prefix='foo')
metrics.add_reporter(reporter)
metrics.add_reporter(foo_reporter)
sensor = metrics.sensor('kafka.requests')
sensor.add(metrics.metric_name('pack.bean1.avg', 'grp1'), Avg())
sensor.add(metrics.metric_name('pack.bean2.total', 'grp2'), Total())
sensor2 = metrics.sensor('kafka.blah')
sensor2.add(metrics.metric_name('pack.bean1.some', 'grp1'), Total())
sensor2.add(metrics.metric_name('pack.bean2.some', 'grp1',
tags={'a': 42, 'b': 'bar'}), Total())
# kafka-metrics-count > count is the total number of metrics and automatic
expected = {
'kafka-metrics-count': {'count': 5.0},
'grp2': {'pack.bean2.total': 0.0},
'grp1': {'pack.bean1.avg': 0.0, 'pack.bean1.some': 0.0},
'grp1.a=42,b=bar': {'pack.bean2.some': 0.0},
}
assert expected == reporter.snapshot()
for key in list(expected.keys()):
metrics = expected.pop(key)
expected['foo.%s' % (key,)] = metrics
assert expected == foo_reporter.snapshot()
def test_Quotas(metrics):
sensor = metrics.sensor('test')
sensor.add(metrics.metric_name('test1.total', 'grp1'), Total(),
MetricConfig(quota=Quota.upper_bound(5.0)))
sensor.add(metrics.metric_name('test2.total', 'grp1'), Total(),
MetricConfig(quota=Quota.lower_bound(0.0)))
sensor.record(5.0)
with pytest.raises(QuotaViolationError):
sensor.record(1.0)
assert abs(6.0 - metrics.metrics.get(metrics.metric_name('test1.total', 'grp1')).value()) \
< EPS
sensor.record(-6.0)
with pytest.raises(QuotaViolationError):
sensor.record(-1.0)
def test_simple_stats(mocker, time_keeper, config, metrics):
mocker.patch('time.time', side_effect=time_keeper.time)
measurable = ConstantMeasurable()
metrics.add_metric(metrics.metric_name('direct.measurable', 'grp1',
'The fraction of time an appender waits for space allocation.'),
measurable)
sensor = metrics.sensor('test.sensor')
sensor.add(metrics.metric_name('test.avg', 'grp1'), Avg())
sensor.add(metrics.metric_name('test.max', 'grp1'), Max())
sensor.add(metrics.metric_name('test.min', 'grp1'), Min())
sensor.add(metrics.metric_name('test.rate', 'grp1'), Rate(TimeUnit.SECONDS))
sensor.add(metrics.metric_name('test.occurences', 'grp1'),Rate(TimeUnit.SECONDS, Count()))
sensor.add(metrics.metric_name('test.count', 'grp1'), Count())
percentiles = [Percentile(metrics.metric_name('test.median', 'grp1'), 50.0),
Percentile(metrics.metric_name('test.perc99_9', 'grp1'), 99.9)]
sensor.add_compound(Percentiles(100, BucketSizing.CONSTANT, 100, -100,
percentiles=percentiles))
sensor2 = metrics.sensor('test.sensor2')
sensor2.add(metrics.metric_name('s2.total', 'grp1'), Total())
sensor2.record(5.0)
sum_val = 0
count = 10
for i in range(count):
sensor.record(i)
sum_val += i
# prior to any time passing
elapsed_secs = (config.time_window_ms * (config.samples - 1)) / 1000.0
assert abs(count / elapsed_secs -
metrics.metrics.get(metrics.metric_name('test.occurences', 'grp1')).value()) \
< EPS, 'Occurrences(0...%d) = %f' % (count, count / elapsed_secs)
# pretend 2 seconds passed...
sleep_time_seconds = 2.0
time_keeper.sleep(sleep_time_seconds)
elapsed_secs += sleep_time_seconds
assert abs(5.0 - metrics.metrics.get(metrics.metric_name('s2.total', 'grp1')).value()) \
< EPS, 's2 reflects the constant value'
assert abs(4.5 - metrics.metrics.get(metrics.metric_name('test.avg', 'grp1')).value()) \
< EPS, 'Avg(0...9) = 4.5'
assert abs((count - 1) - metrics.metrics.get(metrics.metric_name('test.max', 'grp1')).value()) \
< EPS, 'Max(0...9) = 9'
assert abs(0.0 - metrics.metrics.get(metrics.metric_name('test.min', 'grp1')).value()) \
< EPS, 'Min(0...9) = 0'
assert abs((sum_val / elapsed_secs) - metrics.metrics.get(metrics.metric_name('test.rate', 'grp1')).value()) \
< EPS, 'Rate(0...9) = 1.40625'
assert abs((count / elapsed_secs) - metrics.metrics.get(metrics.metric_name('test.occurences', 'grp1')).value()) \
< EPS, 'Occurrences(0...%d) = %f' % (count, count / elapsed_secs)
assert abs(count - metrics.metrics.get(metrics.metric_name('test.count', 'grp1')).value()) \
< EPS, 'Count(0...9) = 10'
def test_duplicate_MetricName(metrics):
metrics.sensor('test').add(metrics.metric_name('test', 'grp1'), Avg())
with pytest.raises(ValueError):
metrics.sensor('test2').add(metrics.metric_name('test', 'grp1'), Total())