def test_run(self):
"""
Test drain's run function (in a same thread)
"""
source = range(5)
destination = Queue()
drain = Drain(source, destination)
drain.run()
assert destination.qsize() == 5
def test_interrupt_and_wait(self):
"""
Test we can interrupt the drain
"""
source = range(1000000)
destination = Queue()
drain = Drain(source, destination)
drain.start()
drain.join()
assert destination.qsize() == 1000000
def test_partially_reversed_data(self, data):
results_queue = Queue()
chunks = list(random_split(data))
chunks[5], chunks[6] = chunks[6], chunks[5]
pipeline = Aggregator(
TimeChopper(DataPoller(source=chunks, poll_period=0.1),
cache_size=3), AGGR_CONFIG, False)
drain = Drain(pipeline, results_queue)
drain.run()
assert results_queue.qsize() == MAX_TS
def start_test(self):
self.reader = self.generator.get_reader()
self.stats_reader = self.generator.get_stats_reader()
aggregator_config = self.load_config()
verbose_histogram = True
if verbose_histogram:
logger.info("using verbose histogram")
if self.reader and self.stats_reader:
pipeline = Aggregator(
TimeChopper(DataPoller(source=self.reader, poll_period=1),
cache_size=3), aggregator_config,
verbose_histogram)
self.drain = Drain(pipeline, self.results)
self.drain.start()
self.stats_drain = Drain(
Chopper(DataPoller(source=self.stats_reader, poll_period=1)),
self.stats)
self.stats_drain.start()
else:
logger.warning(
"Generator not found. Generator must provide a reader and a stats_reader interface"
)
def start_test(self):
self.reader = self.generator.get_reader()
self.stats_reader = self.generator.get_stats_reader()
aggregator_config = json.loads(
resource_string(__name__, 'config/phout.json').decode('utf8'))
verbose_histogram = True
if verbose_histogram:
logger.info("using verbose histogram")
if self.reader and self.stats_reader:
pipeline = Aggregator(
TimeChopper(DataPoller(source=self.reader, poll_period=1),
cache_size=3), aggregator_config,
verbose_histogram)
self.drain = Drain(pipeline, self.results)
self.drain.start()
self.stats_drain = Drain(
Chopper(DataPoller(source=self.stats_reader, poll_period=1)),
self.stats)
self.stats_drain.start()
else:
raise PluginImplementationError(
"Generator must pass a Reader and a StatsReader"
" to Aggregator before starting test")
def test_slow_producer(self, data):
results_queue = Queue()
chunks = list(random_split(data))
chunks[5], chunks[6] = chunks[6], chunks[5]
def producer():
for chunk in chunks:
if np.random.random() > 0.5:
yield None
yield chunk
pipeline = Aggregator(
TimeChopper(DataPoller(source=producer(), poll_period=0.1),
cache_size=3), AGGR_CONFIG, False)
drain = Drain(pipeline, results_queue)
drain.run()
assert results_queue.qsize() == MAX_TS