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quay/util/registry/queueprocess.py

77 lines
2.2 KiB
Python

from multiprocessing import Process, Queue
from collections import namedtuple
import logging
import multiprocessing
import time
import sys
import traceback
logger = multiprocessing.log_to_stderr()
logger.setLevel(logging.INFO)
class QueueProcess(object):
""" Helper class which invokes a worker in a process to produce
data for one (or more) queues.
"""
def __init__(self, get_producer, chunk_size, max_size, args, finished=None):
self._get_producer = get_producer
self._queues = []
self._chunk_size = chunk_size
self._max_size = max_size
self._args = args or []
self._finished = finished
def create_queue(self):
""" Adds a multiprocessing queue to the list of queues. Any queues added
will have the data produced appended.
"""
queue = Queue(self._max_size / self._chunk_size)
self._queues.append(queue)
return queue
@staticmethod
def run_process(target, args, finished=None):
def _target(tar, arg, fin):
try:
tar(*args)
finally:
if fin:
fin()
Process(target=_target, args=(target, args, finished)).start()
def run(self):
# Important! gipc is used here because normal multiprocessing does not work
# correctly with gevent when we sleep.
args = (self._get_producer, self._queues, self._chunk_size, self._args)
QueueProcess.run_process(_run, args, finished=self._finished)
QueueResult = namedtuple('QueueResult', ['data', 'exception'])
def _run(get_producer, queues, chunk_size, args):
producer = get_producer(*args)
while True:
try:
result = QueueResult(producer(chunk_size) or None, None)
except Exception as ex:
message = '%s\n%s' % (ex.message, "".join(traceback.format_exception(*sys.exc_info())))
result = QueueResult(None, Exception(message))
for queue in queues:
try:
queue.put(result, block=True)
except Exception as ex:
logger.exception('Exception writing to queue.')
return
# Terminate the producer loop if the data produced is empty or an exception occurred.
if result.data is None or result.exception is not None:
break
# Important! This allows the thread that writes the queue data to the pipe
# to do so. Otherwise, this hangs.
time.sleep(0)