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							- from __future__ import absolute_import, print_function, unicode_literals
 
- import os
 
- import sys
 
- os.environ.update(
 
-     NOSETPS='yes',
 
-     USE_FAST_LOCALS='yes',
 
- )
 
- from celery import Celery  # noqa
 
- from celery.five import range  # noqa
 
- from kombu.five import monotonic  # noqa
 
- DEFAULT_ITS = 40000
 
- BROKER_TRANSPORT = os.environ.get('BROKER', 'librabbitmq')
 
- if hasattr(sys, 'pypy_version_info'):
 
-     BROKER_TRANSPORT = 'pyamqp'
 
- app = Celery('bench_worker')
 
- app.conf.update(
 
-     broker_transport=BROKER_TRANSPORT,
 
-     broker_pool_limit=10,
 
-     celeryd_pool='solo',
 
-     celeryd_prefetch_multiplier=0,
 
-     default_delivery_mode=1,
 
-     queues={
 
-         'bench.worker': {
 
-             'exchange': 'bench.worker',
 
-             'routing_key': 'bench.worker',
 
-             'no_ack': True,
 
-             'exchange_durable': False,
 
-             'queue_durable': False,
 
-             'auto_delete': True,
 
-         }
 
-     },
 
-     task_serializer='json',
 
-     default_queue='bench.worker',
 
-     result_backend=None,
 
- ),
 
- def tdiff(then):
 
-     return monotonic() - then
 
- @app.task(cur=0, time_start=None, queue='bench.worker', bare=True)
 
- def it(_, n):
 
-     # use internal counter, as ordering can be skewed
 
-     # by previous runs, or the broker.
 
-     i = it.cur
 
-     if i and not i % 5000:
 
-         print('({0} so far: {1}s)'.format(i, tdiff(it.subt)), file=sys.stderr)
 
-         it.subt = monotonic()
 
-     if not i:
 
-         it.subt = it.time_start = monotonic()
 
-     elif i > n - 2:
 
-         total = tdiff(it.time_start)
 
-         print('({0} so far: {1}s)'.format(i, tdiff(it.subt)), file=sys.stderr)
 
-         print('-- process {0} tasks: {1}s total, {2} tasks/s} '.format(
 
-             n, total, n / (total + .0),
 
-         ))
 
-         import os
 
-         os._exit()
 
-     it.cur += 1
 
- def bench_apply(n=DEFAULT_ITS):
 
-     time_start = monotonic()
 
-     task = it._get_current_object()
 
-     with app.producer_or_acquire() as producer:
 
-         [task.apply_async((i, n), producer=producer) for i in range(n)]
 
-     print('-- apply {0} tasks: {1}s'.format(n, monotonic() - time_start))
 
- def bench_work(n=DEFAULT_ITS, loglevel='CRITICAL'):
 
-     loglevel = os.environ.get('BENCH_LOGLEVEL') or loglevel
 
-     if loglevel:
 
-         app.log.setup_logging_subsystem(loglevel=loglevel)
 
-     worker = app.WorkController(concurrency=15,
 
-                                 queues=['bench.worker'])
 
-     try:
 
-         print('-- starting worker')
 
-         worker.start()
 
-     except SystemExit:
 
-         raise
 
-         assert sum(worker.state.total_count.values()) == n + 1
 
- def bench_both(n=DEFAULT_ITS):
 
-     bench_apply(n)
 
-     bench_work(n)
 
- def main(argv=sys.argv):
 
-     n = DEFAULT_ITS
 
-     if len(argv) < 2:
 
-         print('Usage: {0} [apply|work|both] [n=20k]'.format(
 
-             os.path.basename(argv[0]),
 
-         ))
 
-         return sys.exit(1)
 
-     try:
 
-         try:
 
-             n = int(argv[2])
 
-         except IndexError:
 
-             pass
 
-         return {'apply': bench_apply,
 
-                 'work': bench_work,
 
-                 'both': bench_both}[argv[1]](n=n)
 
-     except:
 
-         raise
 
- if __name__ == '__main__':
 
-     main()
 
 
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