def test_shared(self):
m = Metrics()
m2 = Metrics(shared=m.share())
m3 = Metrics(shared=m.share())
m2.add('key', SumMetric(1))
m3.add('key', SumMetric(2))
m.add('key', SumMetric(3))
assert m.report()['key'] == 6
def test_largebuffer(self):
# legacy test. left as just another test
m = Metrics()
m2 = Metrics(shared=m.share())
# intentionally just over the int overflow
for _ in range(32768 + 1):
m2.add('key', SumMetric(1))
assert m.report()['key'] == 32768 + 1
def test_multithreaded(self):
# legacy test, but left because it's just another test
m = Metrics()
m2 = Metrics(shared=m.share())
m3 = Metrics(shared=m.share())
m2.add('key', SumMetric(1))
m3.add('key', SumMetric(2))
m.add('key', SumMetric(3))
assert m.report()['key'] == 6
def test_multithreaded(self):
m = Metrics(threadsafe=True)
m2 = Metrics(threadsafe=True, shared=m.share())
m3 = Metrics(threadsafe=True, shared=m.share())
m2.add('key', SumMetric(1))
m2.flush()
m3.add('key', SumMetric(2))
m3.flush()
m.add('key', SumMetric(3))
m.flush()
m.report()['key'] == 6
def test_verymultithreaded(self):
# legacy test, but useful all the same, for ensuring
# metrics doesn't care about the order things are done
m = Metrics()
nt = 128
ms = [Metrics(shared=m.share()) for _ in range(nt)]
# intentionally just over the int overflow
for _ in range(32768 + 1):
ms[random.randint(0, nt - 1)].add('key', SumMetric(1))
thread_ids = list(range(nt))
random.shuffle(thread_ids)
assert m.report()['key'] == 32768 + 1
def test_verymultithreaded(self):
m = Metrics(threadsafe=True)
nt = 128
ms = [Metrics(threadsafe=True, shared=m.share()) for _ in range(nt)]
# intentionally just over the int overflow
for _ in range(32768 + 1):
ms[random.randint(0, nt - 1)].add('key', SumMetric(1))
thread_ids = list(range(nt))
random.shuffle(thread_ids)
for tid in thread_ids:
ms[tid].flush()
assert m.report()['key'] == 32768 + 1
def test_shared(self):
m = Metrics(threadsafe=False)
m2 = Metrics(threadsafe=False, shared=m.share())
m3 = Metrics(threadsafe=False, shared=m.share())
m2.add('key', SumMetric(1))
m3.add('key', SumMetric(2))
m2.flush() # just make sure this doesn't throw exception, it's a no-op
m.add('key', SumMetric(3))
assert m.report()['key'] == 6
# shouldn't throw exception
m.flush()
m2.flush()
m3.flush()