MatrixSynapse/synapse/util/file_consumer.py

148 lines
5.0 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2018 New Vector Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from twisted.internet import threads
from synapse.util.logcontext import make_deferred_yieldable, run_in_background
from six.moves import queue
class BackgroundFileConsumer(object):
"""A consumer that writes to a file like object. Supports both push
and pull producers
Args:
file_obj (file): The file like object to write to. Closed when
finished.
reactor (twisted.internet.reactor): the Twisted reactor to use
"""
# For PushProducers pause if we have this many unwritten slices
_PAUSE_ON_QUEUE_SIZE = 5
# And resume once the size of the queue is less than this
_RESUME_ON_QUEUE_SIZE = 2
def __init__(self, file_obj, reactor):
self._file_obj = file_obj
self._reactor = reactor
# Producer we're registered with
self._producer = None
# True if PushProducer, false if PullProducer
self.streaming = False
# For PushProducers, indicates whether we've paused the producer and
# need to call resumeProducing before we get more data.
self._paused_producer = False
# Queue of slices of bytes to be written. When producer calls
# unregister a final None is sent.
self._bytes_queue = queue.Queue()
# Deferred that is resolved when finished writing
self._finished_deferred = None
# If the _writer thread throws an exception it gets stored here.
self._write_exception = None
def registerProducer(self, producer, streaming):
"""Part of IConsumer interface
Args:
producer (IProducer)
streaming (bool): True if push based producer, False if pull
based.
"""
if self._producer:
raise Exception("registerProducer called twice")
self._producer = producer
self.streaming = streaming
self._finished_deferred = run_in_background(
threads.deferToThreadPool,
self._reactor,
self._reactor.getThreadPool(),
self._writer,
)
if not streaming:
self._producer.resumeProducing()
def unregisterProducer(self):
"""Part of IProducer interface
"""
self._producer = None
if not self._finished_deferred.called:
self._bytes_queue.put_nowait(None)
def write(self, bytes):
"""Part of IProducer interface
"""
if self._write_exception:
raise self._write_exception
if self._finished_deferred.called:
raise Exception("consumer has closed")
self._bytes_queue.put_nowait(bytes)
# If this is a PushProducer and the queue is getting behind
# then we pause the producer.
if self.streaming and self._bytes_queue.qsize() >= self._PAUSE_ON_QUEUE_SIZE:
self._paused_producer = True
self._producer.pauseProducing()
def _writer(self):
"""This is run in a background thread to write to the file.
"""
try:
while self._producer or not self._bytes_queue.empty():
# If we've paused the producer check if we should resume the
# producer.
if self._producer and self._paused_producer:
if self._bytes_queue.qsize() <= self._RESUME_ON_QUEUE_SIZE:
self._reactor.callFromThread(self._resume_paused_producer)
bytes = self._bytes_queue.get()
# If we get a None (or empty list) then that's a signal used
# to indicate we should check if we should stop.
if bytes:
self._file_obj.write(bytes)
# If its a pull producer then we need to explicitly ask for
# more stuff.
if not self.streaming and self._producer:
self._reactor.callFromThread(self._producer.resumeProducing)
except Exception as e:
self._write_exception = e
raise
finally:
self._file_obj.close()
def wait(self):
"""Returns a deferred that resolves when finished writing to file
"""
return make_deferred_yieldable(self._finished_deferred)
def _resume_paused_producer(self):
"""Gets called if we should resume producing after being paused
"""
if self._paused_producer and self._producer:
self._paused_producer = False
self._producer.resumeProducing()