def test_timed_window_relaxed(self):
"""
Test batch windows of fixed sizes work ok
"""
from minibatch import streaming
def consumer():
# note the stream decorator blocks the consumer and runs the decorated
# function asynchronously upon the window criteria is satisfied
@streaming('test', interval=1, relaxed=True, keep=True)
def myprocess(window):
try:
db = setup(self.url)
db.processed.insert_one({'data': window.data or {}})
except Exception as e:
print(e)
return window
# start stream consumer
proc = Process(target=consumer)
proc.start()
# fill stream
stream = Stream.get_or_create('test')
for i in range(10):
stream.append({'index': i})
sleep(.5)
# give it some time to process
sleep(5)
proc.terminate()
# expect at least 5 entries (10 x .5 = 5 seconds), each of length 1-2
data = list(doc for doc in self.db.processed.find())
count = len(data)
self.assertGreater(count, 5)
self.assertTrue(all(len(w) >= 2 for w in data))
def _do_test_slow_emitfn(self, workers=None, expect_fail=None, timeout=None):
"""
Test slow batch windows work properly using {workers} workers
"""
from minibatch import streaming
MiniBatchTests._do_test_slow_emitfn.__doc__ = MiniBatchTests._do_test_slow_emitfn.__doc__.format(
workers=workers)
def consumer(workers):
logger.debug("starting consumer on={self.url} workers={workers}".format(**locals()))
url = str(self.url)
# note the stream decorator blocks the consumer and runs the decorated
# function asynchronously upon the window criteria is satisfied
@streaming('test', size=2, keep=True, url=self.url, max_workers=workers)
def myprocess(window):
logger.debug("*** processing {}".format(window.data))
from minibatch import connectdb
try:
sleepdot(5)
db = connectdb(url=url)
db.processed.insert_one({'data': window.data or {}})
except Exception as e:
logger.error(e)
raise
return window
def check():
# expect 5 entries, each of length 2
data = list(doc for doc in self.db.processed.find())
count = len(data)
logger.debug("data={}".format(data))
self.assertEqual(count, 5)
self.assertTrue(all(len(w) == 2 for w in data))
# start stream consumer
# -- use just one worker, we expect to fail
proc = Process(target=consumer, args=(workers,))
proc.start()
# fill stream
stream = Stream.get_or_create('test', url=self.url)
for i in range(10):
stream.append({'index': i})
# give it some time to process
logger.debug("waiting")
# note it takes at least 25 seconds using 1 worker (5 windows, 5 seconds)
# so we expect to fail
self.sleep(12)
proc.terminate()
if expect_fail:
with self.assertRaises(AssertionError):
check()
else:
check()
# wait for everything to terminate, avoid stream corruption in next test
self.sleep(timeout)
def test_stream(self):
"""
Test a stream writes to a buffer
"""
stream = Stream.get_or_create('test')
stream.append({'foo': 'bar1'})
stream.append({'foo': 'bar2'})
count = len(list(doc for doc in Buffer.objects.all()))
self.assertEqual(count, 2)
def test_buffer_cleaned(self):
stream = Stream.get_or_create('test', url=self.url)
stream.append({'foo': 'bar1'})
stream.append({'foo': 'bar2'})
em = CountWindow('test')
em._run_once()
em._run_once()
docs = list(Buffer.objects.filter())
self.assertEqual(len(docs), 0)
def producer(data):
import os
import time
import random
# sleep to simulate multiple time windows
time.sleep(random.randrange(0, 1, 1) / 10.0)
data.update({'pid': os.getpid()})
connectdb(alias='producer')
stream_name = 'test'
stream = Stream.get_or_create(stream_name)
print("producing ... {}".format(data))
stream.append(data)
def test_fixed_size(self):
"""
Test batch windows of fixed sizes work ok
"""
from minibatch import streaming
def consumer(q):
logger.debug("starting consumer on {self.url}".format(**locals()))
url = str(self.url)
# note the stream decorator blocks the consumer and runs the decorated
# function asynchronously upon the window criteria is satisfied
@streaming('test', size=2, keep=True, url=self.url, queue=q)
def myprocess(window):
logger.debug("*** processing")
try:
db = connectdb(url)
db.processed.insert_one({'data': window.data or {}})
except Exception as e:
print(e)
raise
# start stream consumer
q = Queue()
stream = Stream.get_or_create('test', url=self.url)
proc = Process(target=consumer, args=(q, ))
proc.start()
# fill stream
for i in range(10):
stream.append({'index': i})
# give it some time to process
logger.debug("waiting")
self.sleep(10)
q.put(True) # stop @streaming
proc.join()
# expect 5 entries, each of length 2
data = list(doc for doc in self.db.processed.find())
count = len(data)
self.assertEqual(count, 5)
self.assertTrue(all(len(w) == 2 for w in data))
def test_timed_window(self):
"""
Test timed windows work ok
"""
from minibatch import streaming
def consumer(q):
# note the stream decorator blocks the consumer and runs the decorated
# function asynchronously upon the window criteria is satisfied
url = str(self.url)
@streaming('test', interval=1, relaxed=False, keep=True, queue=q)
def myprocess(window):
try:
db = connectdb(url=url)
db.processed.insert_one({'data': window.data or {}})
except Exception as e:
print(e)
return window
# start stream consumer
q = Queue()
stream = Stream.get_or_create('test', url=self.url)
proc = Process(target=consumer, args=(q, ))
proc.start()
# fill stream
for i in range(10):
stream.append({'index': i})
self.sleep(.5)
# give it some time to process
self.sleep(5)
q.put(True)
proc.join()
# expect at least 5 entries (10 x .5 = 5 seconds), each of length 1-2
data = list(doc for doc in self.db.processed.find())
count = len(data)
self.assertGreater(count, 5)
self.assertTrue(all(len(w) >= 2 for w in data))
def stream(self):
if self._stream:
return self._stream
self._stream = Stream.get_or_create(self.stream_name,
url=self._stream_url)
return self._stream
