def test_report_now(self):
r = CarbonReporter(registry=self.registry,
reporting_interval=1,
clock=self.clock,
socket_factory=lambda: self)
h1 = self.registry.histogram("hist")
for i in range(10):
h1.add(2**i)
gcb = self.registry.gauge("gcb", lambda: 123)
gsimple = self.registry.gauge("gsimple").set_value(42)
t1 = self.registry.timer("t1")
m1 = self.registry.meter("m1")
m1.mark()
with t1.time():
c1 = self.registry.counter("c1")
c2 = self.registry.counter("counter-2")
c1.inc()
c2.dec()
c2.dec()
self.clock.add(1)
r.report_now()
self.assertEqual(self.output.getvalue().splitlines(), [
'counter-2.count -2 1', 'gsimple.value 42 1', 'gcb.value 123 1',
't1.1m_rate 0 1', 't1.999_percentile 1 1', 't1.15m_rate 0 1',
't1.99_percentile 1 1', 't1.mean_rate 1.0 1',
't1.95_percentile 1 1', 't1.min 1 1', 't1.5m_rate 0 1',
't1.count 1.0 1', 't1.75_percentile 1 1', 't1.std_dev 0.0 1',
't1.max 1 1', 't1.avg 1.0 1', 'hist.count 10.0 1',
'hist.999_percentile 512 1', 'hist.99_percentile 512 1',
'hist.min 1 1', 'hist.95_percentile 512 1',
'hist.75_percentile 160.0 1', 'hist.std_dev 164.948510485 1',
'hist.max 512 1', 'hist.avg 102.3 1', 'm1.1m_rate 0 1',
'm1.15m_rate 0 1', 'm1.5m_rate 0 1', 'm1.mean_rate 1.0 1',
'c1.count 1 1'
])
def create_reporter(app):
if "GRAPHITE_HOST" in app.config:
from pyformance.reporters.carbon_reporter import CarbonReporter
reporter = CarbonReporter(prefix=app.config["GRAPHITE_PREFIX"],
server=app.config["GRAPHITE_HOST"],
reporting_interval=30)
reporter.start()
def test_report_now(self):
r = CarbonReporter(
registry=self.registry, reporting_interval=1, clock=self.clock,
socket_factory=lambda: self)
h1 = self.registry.histogram("hist")
for i in range(10):
h1.add(2 ** i)
gcb = self.registry.gauge("gcb", lambda: 123)
gsimple = self.registry.gauge("gsimple").set_value(42)
t1 = self.registry.timer("t1")
m1 = self.registry.meter("m1")
m1.mark()
with t1.time():
c1 = self.registry.counter("c1")
c2 = self.registry.counter("counter-2")
c1.inc()
c2.dec()
c2.dec()
self.clock.add(1)
r.report_now()
self.assertEqual([
'counter-2.count -2 1',
'c1.count 1 1',
'gsimple.value 42 1',
'gcb.value 123 1',
't1.1m_rate 0 1',
't1.999_percentile 1 1',
't1.15m_rate 0 1',
't1.99_percentile 1 1',
't1.mean_rate 1.0 1',
't1.95_percentile 1 1',
't1.min 1 1',
't1.5m_rate 0 1',
't1.count 1.0 1',
't1.75_percentile 1 1',
't1.std_dev 0.0 1',
't1.max 1 1',
't1.avg 1.0 1',
'hist.count 10.0 1',
'hist.999_percentile 512 1',
'hist.99_percentile 512 1',
'hist.min 1 1',
'hist.95_percentile 512 1',
'hist.75_percentile 160.0 1',
'hist.std_dev 164.948510485 1',
'hist.max 512 1',
'hist.avg 102.3 1',
'm1.count 1.0 1',
'm1.1m_rate 0 1',
'm1.15m_rate 0 1',
'm1.5m_rate 0 1',
'm1.mean_rate 1.0 1',
].sort(),
self.output.getvalue().splitlines().sort())
def test_report_now_plain(self):
r = CarbonReporter(
registry=self.registry,
reporting_interval=1,
clock=self.clock,
socket_factory=lambda: self,
)
self.capture_test_metrics()
r.report_now()
test_data = sorted(self.output.getvalue().decode().splitlines())
expected_data = sorted(
[
"counter-2.count -2 2",
"c1.count 1 2",
"gsimple.value 42 2",
"gcb.value 123 2",
"t1.1m_rate 0 2",
"t1.999_percentile 1 2",
"t1.15m_rate 0 2",
"t1.99_percentile 1 2",
"t1.mean_rate 1.0 2",
"t1.95_percentile 1 2",
"t1.min 1 2",
"t1.50_percentile 1 2",
"t1.5m_rate 0 2",
"t1.count 1.0 2",
"t1.75_percentile 1 2",
"t1.std_dev 0.0 2",
"t1.max 1 2",
"t1.sum 1.0 2",
"t1.avg 1.0 2",
"hist.count 10.0 2",
"hist.999_percentile 512 2",
"hist.99_percentile 512 2",
"hist.min 1 2",
"hist.95_percentile 512 2",
"hist.75_percentile 160.0 2",
"hist.std_dev 164.94851048466944 2"
if PY3
else "hist.std_dev 164.948510485 2",
"hist.max 512 2",
"hist.avg 102.3 2",
"m1.count 1.0 2",
"m1.1m_rate 0 2",
"m1.15m_rate 0 2",
"m1.5m_rate 0 2",
"m1.mean_rate 1.0 2",
]
)
self.assertEqual(test_data, expected_data)
def test_report_now_pickle(self):
r = CarbonReporter(
registry=self.registry,
reporting_interval=1,
clock=self.clock,
socket_factory=lambda: self,
pickle_protocol=True,
)
self.capture_test_metrics()
r.report_now()
test_data = sorted(pickle.loads(self.output.getvalue()[4:]))
expected_data = sorted(
[
("counter-2.count", (2, -2.0)),
("c1.count", (2, 1)),
("gsimple.value", (2, 42.0)),
("gcb.value", (2, 123.0)),
("t1.1m_rate", (2, 0.0)),
("t1.999_percentile", (2, 1)),
("t1.15m_rate", (2, 0.0)),
("t1.99_percentile", (2, 1)),
("t1.mean_rate", (2, 1)),
("t1.95_percentile", (2, 1)),
("t1.min", (2, 1)),
("t1.50_percentile", (2, 1)),
("t1.5m_rate", (2, 0.0)),
("t1.count", (2, 1)),
("t1.75_percentile", (2, 1)),
("t1.std_dev", (2, 0.0)),
("t1.max", (2, 1)),
("t1.sum", (2, 1)),
("t1.avg", (2, 1)),
("hist.count", (2, 10.0)),
("hist.999_percentile", (2, 512.0)),
("hist.99_percentile", (2, 512.0)),
("hist.min", (2, 1)),
("hist.95_percentile", (2, 512.0)),
("hist.75_percentile", (2, 160.0)),
("hist.std_dev", (2, 164.94851048466944)),
("hist.max", (2, 512.0)),
("hist.avg", (2, 102.3)),
("m1.count", (2, 1)),
("m1.1m_rate", (2, 0.0)),
("m1.15m_rate", (2, 0.0)),
("m1.5m_rate", (2, 0.0)),
("m1.mean_rate", (2, 1)),
]
)
self.assertEqual(test_data, expected_data)
def test_report_now_plain(self):
r = CarbonReporter(
registry=self.registry,
reporting_interval=1,
clock=self.clock,
socket_factory=lambda: self,
)
self.capture_test_metrics()
r.report_now()
test_data = sorted(self.output.getvalue().decode().splitlines())
expected_data = sorted([
"counter-2.count -2 2",
"c1.count 1 2",
"gsimple.value 42 2",
"e1.field 1 2",
"gcb.value 123 2",
"t1.1m_rate 0 2",
"t1.999_percentile 1 2",
"t1.15m_rate 0 2",
"t1.99_percentile 1 2",
"t1.mean_rate 1.0 2",
"t1.95_percentile 1 2",
"t1.min 1 2",
"t1.50_percentile 1 2",
"t1.5m_rate 0 2",
"t1.count 1.0 2",
"t1.75_percentile 1 2",
"t1.std_dev 0.0 2",
"t1.max 1 2",
"t1.sum 1.0 2",
"t1.avg 1.0 2",
"hist.count 10.0 2",
"hist.999_percentile 512 2",
"hist.99_percentile 512 2",
"hist.min 1 2",
"hist.95_percentile 512 2",
"hist.75_percentile 160.0 2",
"hist.std_dev 164.94851048466944 2"
if PY3 else "hist.std_dev 164.948510485 2",
"hist.max 512 2",
"hist.avg 102.3 2",
"m1.count 1.0 2",
"m1.1m_rate 0 2",
"m1.15m_rate 0 2",
"m1.5m_rate 0 2",
"m1.mean_rate 1.0 2",
])
self.assertEqual(test_data, expected_data)
def test_report_now_pickle(self):
r = CarbonReporter(
registry=self.registry,
reporting_interval=1,
clock=self.clock,
socket_factory=lambda: self,
pickle_protocol=True,
)
self.capture_test_metrics()
r.report_now()
test_data = sorted(pickle.loads(self.output.getvalue()[4:]))
expected_data = sorted([
("counter-2.count", (2, -2.0)),
("c1.count", (2, 1)),
("gsimple.value", (2, 42.0)),
("gcb.value", (2, 123.0)),
("t1.1m_rate", (2, 0.0)),
("t1.999_percentile", (2, 1)),
("t1.15m_rate", (2, 0.0)),
("t1.99_percentile", (2, 1)),
("t1.mean_rate", (2, 1)),
("t1.95_percentile", (2, 1)),
("t1.min", (2, 1)),
("t1.50_percentile", (2, 1)),
("t1.5m_rate", (2, 0.0)),
("t1.count", (2, 1)),
("t1.75_percentile", (2, 1)),
("t1.std_dev", (2, 0.0)),
("t1.max", (2, 1)),
("t1.sum", (2, 1)),
("t1.avg", (2, 1)),
("hist.count", (2, 10.0)),
("hist.999_percentile", (2, 512.0)),
("hist.99_percentile", (2, 512.0)),
("hist.min", (2, 1)),
("hist.95_percentile", (2, 512.0)),
("hist.75_percentile", (2, 160.0)),
("hist.std_dev", (2, 164.94851048466944)),
("hist.max", (2, 512.0)),
("hist.avg", (2, 102.3)),
("m1.count", (2, 1)),
("m1.1m_rate", (2, 0.0)),
("m1.15m_rate", (2, 0.0)),
("m1.5m_rate", (2, 0.0)),
("m1.mean_rate", (2, 1)),
])
self.assertEqual(test_data, expected_data)