def test_timer_decorator(self):
@pyf.time_calls
def callme():
return 1
@pyf.time_calls_with_dims(timer_dim='hello_timer')
def callme_with_dims():
return 1
qcallme_with_dims = get_qualname(callme_with_dims)
callme()
callme()
callme()
callme_with_dims()
callme_with_dims()
callme_with_dims()
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'timer_dim=hello_timer.{0}_calls'.format(qcallme_with_dims)), {
'dimensions': {
'timer_dim': 'hello_timer'
},
'metric': '{0}_calls'.format(qcallme_with_dims),
})
self.assertEqual(len(pyf.dump_metrics()), 2)
def test_counter_decorator(self):
@pyf.count_calls
def callme():
pass
qcallme = get_qualname(callme)
@pyf.count_calls_with_dims(counter_dim='hello_counter')
def callme_with_dims():
pass
qcallme_with_dims = get_qualname(callme_with_dims)
callme()
callme_with_dims()
if sys.version_info[0] < 3:
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'counter_dim=hello_counter.{0}_calls'.format(
qcallme_with_dims)), {
'dimensions': {
'counter_dim': 'hello_counter'
},
'metric': '{0}_calls'.format(qcallme_with_dims),
})
self.assertEqual(
pyf.dump_metrics(), {
'{0}_calls'.format(qcallme): {
'count': 1
},
'counter_dim=hello_counter.{0}_calls'.format(qcallme_with_dims):
{
'count': 1
},
})
def test_timer_decorator(self):
@pyf.time_calls
def callme():
return 1
@pyf.time_calls_with_dims(timer_dim='hello_timer')
def callme_with_dims():
return 1
qcallme_with_dims = get_qualname(callme_with_dims)
callme()
callme()
callme()
callme_with_dims()
callme_with_dims()
callme_with_dims()
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'timer_dim=hello_timer.{0}_calls'.format(qcallme_with_dims)),
{
'dimensions': {'timer_dim': 'hello_timer'},
'metric': '{0}_calls'.format(qcallme_with_dims),
})
self.assertEqual(len(pyf.dump_metrics()), 2)
def test_counter_decorator(self):
@pyf.count_calls
def callme():
pass
qcallme = get_qualname(callme)
@pyf.count_calls_with_dims(counter_dim='hello_counter')
def callme_with_dims():
pass
qcallme_with_dims = get_qualname(callme_with_dims)
callme()
callme_with_dims()
if sys.version_info[0] < 3:
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'counter_dim=hello_counter.{0}_calls'.format(
qcallme_with_dims)),
{
'dimensions': {'counter_dim': 'hello_counter'},
'metric': '{0}_calls'.format(qcallme_with_dims),
})
self.assertEqual(pyf.dump_metrics(), {
'{0}_calls'.format(qcallme): {'count': 1},
'counter_dim=hello_counter.{0}_calls'.format(
qcallme_with_dims):
{'count': 1},
})
def test_global_histogram(self):
h1 = pyf.histogram('test_histogram')
h1.add(1)
h1.add(1)
h1.add(1)
h2 = pyf.histogram('test_histogram_with_dim',
histogram_dim='hello_histogram')
h2.add(1)
h2.add(1)
h2.add(1)
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'histogram_dim=hello_histogram.test_histogram_with_dim'),
{
'dimensions': {'histogram_dim': 'hello_histogram'},
'metric': 'test_histogram_with_dim',
})
self.assertEqual(pyf.dump_metrics(), {
'test_histogram': {'count': 3, '999_percentile': 1,
'99_percentile': 1, 'min': 1,
'95_percentile': 1, '75_percentile': 1,
'std_dev': 0.0, 'max': 1, 'avg': 1.0},
'histogram_dim=hello_histogram.test_histogram_with_dim':
{'count': 3, '999_percentile': 1, '99_percentile': 1, 'min': 1,
'95_percentile': 1, '75_percentile': 1, 'std_dev': 0.0,
'max': 1, 'avg': 1.0},
})
def test_histogram_decorator(self):
@pyf.hist_calls
def callme():
return 1
qcallme = get_qualname(callme)
@pyf.hist_calls_with_dims(histogram_dim='hello_histogram')
def callme_with_dims():
return 1
qcallme_with_dims = get_qualname(callme_with_dims)
callme()
callme()
callme()
callme_with_dims()
callme_with_dims()
callme_with_dims()
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'histogram_dim=hello_histogram.{0}_calls'.format(
qcallme_with_dims)), {
'dimensions': {
'histogram_dim': 'hello_histogram'
},
'metric': '{0}_calls'.format(qcallme_with_dims),
})
self.assertEqual(
pyf.dump_metrics(), {
'{0}_calls'.format(qcallme): {
'count': 3,
'999_percentile': 1,
'99_percentile': 1,
'min': 1,
'95_percentile': 1,
'75_percentile': 1,
'std_dev': 0.0,
'max': 1,
'avg': 1.0
},
'histogram_dim=hello_histogram.{0}_calls'.format(qcallme_with_dims):
{
'count': 3,
'999_percentile': 1,
'99_percentile': 1,
'min': 1,
'95_percentile': 1,
'75_percentile': 1,
'std_dev': 0.0,
'max': 1,
'avg': 1.0
},
})
def test_global_timer(self):
pyf.timer('test_timer')
pyf.timer('test_timer_with_dim', timer_dim='hello_timer')
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'timer_dim=hello_timer.test_timer_with_dim'),
{
'dimensions': {'timer_dim': 'hello_timer'},
'metric': 'test_timer_with_dim',
})
self.assertEqual(len(pyf.dump_metrics()), 2)
def test_global_timer(self):
pyf.timer('test_timer')
pyf.timer('test_timer_with_dim', timer_dim='hello_timer')
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'timer_dim=hello_timer.test_timer_with_dim'), {
'dimensions': {
'timer_dim': 'hello_timer'
},
'metric': 'test_timer_with_dim',
})
self.assertEqual(len(pyf.dump_metrics()), 2)
def test_global_counter(self):
pyf.counter('test_counter').inc()
pyf.counter('test_counter_with_dim',
counter_dim='hello_counter').inc()
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'counter_dim=hello_counter.test_counter_with_dim'),
{
'dimensions': {'counter_dim': 'hello_counter'},
'metric': 'test_counter_with_dim',
})
self.assertEqual(pyf.dump_metrics(), {
'test_counter': {'count': 1},
'counter_dim=hello_counter.test_counter_with_dim': {'count': 1},
})
def test_global_gauge(self):
pyf.gauge('test_gauge').set_value(1)
pyf.gauge('test_gauge_with_dim', default=3,
gauge_dim='hello_gauge').set_value(2)
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'gauge_dim=hello_gauge.test_gauge_with_dim'),
{
'dimensions': {'gauge_dim': 'hello_gauge'},
'metric': 'test_gauge_with_dim',
})
self.assertEqual(pyf.dump_metrics(), {
'test_gauge': {'value': 1},
'gauge_dim=hello_gauge.test_gauge_with_dim': {'value': 2},
}
)
def test_global_histogram(self):
h1 = pyf.histogram('test_histogram')
h1.add(1)
h1.add(1)
h1.add(1)
h2 = pyf.histogram('test_histogram_with_dim',
histogram_dim='hello_histogram')
h2.add(1)
h2.add(1)
h2.add(1)
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'histogram_dim=hello_histogram.test_histogram_with_dim'), {
'dimensions': {
'histogram_dim': 'hello_histogram'
},
'metric': 'test_histogram_with_dim',
})
self.assertEqual(
pyf.dump_metrics(), {
'test_histogram': {
'count': 3,
'999_percentile': 1,
'99_percentile': 1,
'min': 1,
'95_percentile': 1,
'75_percentile': 1,
'std_dev': 0.0,
'max': 1,
'avg': 1.0
},
'histogram_dim=hello_histogram.test_histogram_with_dim': {
'count': 3,
'999_percentile': 1,
'99_percentile': 1,
'min': 1,
'95_percentile': 1,
'75_percentile': 1,
'std_dev': 0.0,
'max': 1,
'avg': 1.0
},
})
def test_global_counter(self):
pyf.counter('test_counter').inc()
pyf.counter('test_counter_with_dim', counter_dim='hello_counter').inc()
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'counter_dim=hello_counter.test_counter_with_dim'), {
'dimensions': {
'counter_dim': 'hello_counter'
},
'metric': 'test_counter_with_dim',
})
self.assertEqual(
pyf.dump_metrics(), {
'test_counter': {
'count': 1
},
'counter_dim=hello_counter.test_counter_with_dim': {
'count': 1
},
})
def test_global_gauge(self):
pyf.gauge('test_gauge').set_value(1)
pyf.gauge('test_gauge_with_dim', default=3,
gauge_dim='hello_gauge').set_value(2)
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'gauge_dim=hello_gauge.test_gauge_with_dim'), {
'dimensions': {
'gauge_dim': 'hello_gauge'
},
'metric': 'test_gauge_with_dim',
})
self.assertEqual(
pyf.dump_metrics(), {
'test_gauge': {
'value': 1
},
'gauge_dim=hello_gauge.test_gauge_with_dim': {
'value': 2
},
})
def test_histogram_decorator(self):
@pyf.hist_calls
def callme():
return 1
qcallme = get_qualname(callme)
@pyf.hist_calls_with_dims(histogram_dim='hello_histogram')
def callme_with_dims():
return 1
qcallme_with_dims = get_qualname(callme_with_dims)
callme()
callme()
callme()
callme_with_dims()
callme_with_dims()
callme_with_dims()
self.assertEqual(
pyf.global_registry().metadata.get_metadata(
'histogram_dim=hello_histogram.{0}_calls'.format(
qcallme_with_dims)),
{
'dimensions': {'histogram_dim': 'hello_histogram'},
'metric': '{0}_calls'.format(qcallme_with_dims),
})
self.assertEqual(pyf.dump_metrics(), {
'{0}_calls'.format(qcallme): {
'count': 3, '999_percentile': 1,
'99_percentile': 1, 'min': 1,
'95_percentile': 1, '75_percentile': 1,
'std_dev': 0.0, 'max': 1, 'avg': 1.0},
'histogram_dim=hello_histogram.{0}_calls'.format(
qcallme_with_dims):
{'count': 3, '999_percentile': 1, '99_percentile': 1, 'min': 1,
'95_percentile': 1, '75_percentile': 1, 'std_dev': 0.0,
'max': 1, 'avg': 1.0},
})