def start(self):
self.queue_feeder.start()
for i in range(0, config.classifier_pool_size):
worker = ClassifierWorker(self.trained_classifier, self.queue, self.stop)
worker.start()
self.workers.append(worker)
def start(self):
self.queue_feeder.start()
for i in range(0, config.classifier_pool_size):
worker = ClassifierWorker(self.trained_classifier, self.queue, self.stop)
worker.start()
self.workers.append(worker)
def test_worker(self):
queue = Queue(100)
stop = Event()
stop.clear()
w = ClassifierWorker(self.cls, queue, stop)
w.start()
for d in self.data:
queue.put(d)
while not queue.empty():
time.sleep(0.1)
time.sleep(0.5)
stop.set()
w.join()
self.assertEqual(ClassifiedStream.objects.count(), 5)
def test_worker(self):
queue = Queue(100)
stop = Event()
stop.clear()
w = ClassifierWorker(self.cls, queue, stop)
w.start()
for d in self.data:
queue.put(d)
while not queue.empty():
time.sleep(0.1)
time.sleep(0.5)
stop.set()
w.join()
self.assertEqual(ClassifiedStream.objects.count(), 5)