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import functools
import os
import psutil
import pytest
import threading
import time
from twisted.internet import threads, reactor
#
# pytest customizations
#
# mark benchmark tests using their group names (thanks ionelmc! :)
def pytest_collection_modifyitems(items, config):
for item in items:
bench = item.get_marker("benchmark")
if bench and bench.kwargs.get('group'):
group = bench.kwargs['group']
marker = getattr(pytest.mark, 'benchmark_' + group)
item.add_marker(marker)
subdir = config.getoption('subdir')
if subdir == 'benchmarks':
# we have to manually setup the events server in order to be able to
# signal events. This is usually done by the enclosing application
# using soledad client (i.e. bitmask client).
from leap.common.events import server
server.ensure_server()
#
# benchmark fixtures
#
@pytest.fixture()
def txbenchmark(monitored_benchmark):
def blockOnThread(*args, **kwargs):
return threads.deferToThread(
monitored_benchmark, threads.blockingCallFromThread,
reactor, *args, **kwargs)
return blockOnThread
@pytest.fixture()
def txbenchmark_with_setup(monitored_benchmark_with_setup):
def blockOnThreadWithSetup(setup, f, *args, **kwargs):
def blocking_runner(*args, **kwargs):
return threads.blockingCallFromThread(reactor, f, *args, **kwargs)
def blocking_setup():
args = threads.blockingCallFromThread(reactor, setup)
try:
return tuple(arg for arg in args), {}
except TypeError:
return ((args,), {}) if args else None
def bench():
return monitored_benchmark_with_setup(
blocking_runner, setup=blocking_setup,
rounds=4, warmup_rounds=1, iterations=1,
args=args, kwargs=kwargs)
return threads.deferToThread(bench)
return blockOnThreadWithSetup
#
# resource monitoring
#
def _mean(l):
return float(sum(l)) / len(l)
def _std(l):
if len(l) <= 1:
return 0
mean = _mean(l)
squares = [(x - mean) ** 2 for x in l]
return (sum(squares) / (len(l) - 1)) ** 0.5
class ResourceWatcher(threading.Thread):
sampling_interval = 0.1
def __init__(self, watch_memory):
threading.Thread.__init__(self)
self.process = psutil.Process(os.getpid())
self.running = False
# monitored resources
self.cpu_percent = None
self.watch_memory = watch_memory
self.memory_samples = []
self.memory_percent = None
def run(self):
self.running = True
self.process.cpu_percent()
# decide how long to sleep based on need to sample memory
sleep = self.sampling_interval if not self.watch_memory else 1
while self.running:
if self.watch_memory:
sample = self.process.memory_percent(memtype='rss')
self.memory_samples.append(sample)
time.sleep(sleep)
def stop(self):
self.running = False
self.join()
# save cpu usage info
self.cpu_percent = self.process.cpu_percent()
# save memory usage info
if self.watch_memory:
stats = {
'max': max(self.memory_samples),
'min': min(self.memory_samples),
'mean': _mean(self.memory_samples),
'std': _std(self.memory_samples),
}
memory_percent = {
'sampling_interval': self.sampling_interval,
'samples': self.memory_samples,
'stats': stats,
}
self.memory_percent = memory_percent
def _monitored_benchmark(benchmark_fixture, benchmark_function, request,
*args, **kwargs):
# setup resource monitoring
watch_memory = _watch_memory(request)
watcher = ResourceWatcher(watch_memory)
watcher.start()
# run benchmarking function
benchmark_function(*args, **kwargs)
# store results
watcher.stop()
benchmark_fixture.extra_info.update({
'cpu_percent': watcher.cpu_percent
})
if watch_memory:
benchmark_fixture.extra_info.update({
'memory_percent': watcher.memory_percent,
})
# add docstring info
if request.scope == 'function':
fun = request.function
doc = fun.__doc__ or ''
benchmark_fixture.extra_info.update({'doc': doc.strip()})
def _watch_memory(request):
return request.config.getoption('--watch-memory')
@pytest.fixture
def monitored_benchmark(benchmark, request):
return functools.partial(
_monitored_benchmark, benchmark, benchmark, request)
@pytest.fixture
def monitored_benchmark_with_setup(benchmark, request, *args, **kwargs):
return functools.partial(
_monitored_benchmark, benchmark, benchmark.pedantic, request,
*args, **kwargs)
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