/usr/share/pyshared/celery/contrib/batches.py is in python-celery 2.4.6-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 | # -*- coding: utf-8 -*-
"""
celery.contrib.batches
======================
Collect messages and processes them as a list.
**Example**
A click counter that flushes the buffer every 100 messages, and every
10 seconds.
.. code-block:: python
from celery.task import task
from celery.contrib.batches import Batches
# Flush after 100 messages, or 10 seconds.
@task(base=Batches, flush_every=100, flush_interval=10)
def count_click(requests):
from collections import Counter
count = Counter(request.kwargs["url"] for request in requests)
for url, count in count.items():
print(">>> Clicks: %s -> %s" % (url, count))
Registering the click is done as follows:
>>> count_click.delay(url="http://example.com")
.. warning::
For this to work you have to set
:setting:`CELERYD_PREFETCH_MULTIPLIER` to zero, or some value where
the final multiplied value is higher than ``flush_every``.
In the future we hope to add the ability to direct batching tasks
to a channel with different QoS requirements than the task channel.
:copyright: (c) 2009 - 2011 by Ask Solem.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import
from itertools import count
from Queue import Empty, Queue
from celery.task import Task
from celery.utils import cached_property, timer2
from celery.worker import state
def consume_queue(queue):
"""Iterator yielding all immediately available items in a
:class:`Queue.Queue`.
The iterator stops as soon as the queue raises :exc:`Queue.Empty`.
*Examples*
>>> q = Queue()
>>> map(q.put, range(4))
>>> list(consume_queue(q))
[0, 1, 2, 3]
>>> list(consume_queue(q))
[]
"""
get = queue.get_nowait
while 1:
try:
yield get()
except Empty:
break
def apply_batches_task(task, args, loglevel, logfile):
task.request.update({"loglevel": loglevel, "logfile": logfile})
try:
result = task(*args)
except Exception, exp:
result = None
task.logger.error("There was an Exception: %s", exp, exc_info=True)
finally:
task.request.clear()
return result
class SimpleRequest(object):
"""Pickleable request."""
#: task id
id = None
#: task name
name = None
#: positional arguments
args = ()
#: keyword arguments
kwargs = {}
#: message delivery information.
delivery_info = None
#: worker node name
hostname = None
def __init__(self, id, name, args, kwargs, delivery_info, hostname):
self.id = id
self.name = name
self.args = args
self.kwargs = kwargs
self.delivery_info = delivery_info
self.hostname = hostname
@classmethod
def from_request(cls, request):
return cls(request.task_id, request.task_name, request.args,
request.kwargs, request.delivery_info, request.hostname)
class Batches(Task):
abstract = True
#: Maximum number of message in buffer.
flush_every = 10
#: Timeout in seconds before buffer is flushed anyway.
flush_interval = 30
def __init__(self):
self._buffer = Queue()
self._count = count(1).next
self._tref = None
self._pool = None
self._logging = None
def run(self, requests):
raise NotImplementedError("%r must implement run(requests)" % (self, ))
def flush(self, requests):
return self.apply_buffer(requests, ([SimpleRequest.from_request(r)
for r in requests], ))
def execute(self, request, pool, loglevel, logfile):
if not self._pool: # just take pool from first task.
self._pool = pool
if not self._logging:
self._logging = loglevel, logfile
state.task_ready(request) # immediately remove from worker state.
self._buffer.put(request)
if self._tref is None: # first request starts flush timer.
self._tref = timer2.apply_interval(self.flush_interval * 1000,
self._do_flush)
if not self._count() % self.flush_every:
self._do_flush()
def _do_flush(self):
self.debug("Wake-up to flush buffer...")
requests = None
if self._buffer.qsize():
requests = list(consume_queue(self._buffer))
if requests:
self.debug("Buffer complete: %s" % (len(requests), ))
self.flush(requests)
if not requests:
self.debug("Cancelling timer: Nothing in buffer.")
self._tref.cancel() # cancel timer.
self._tref = None
def apply_buffer(self, requests, args=(), kwargs={}):
acks_late = [], []
[acks_late[r.task.acks_late].append(r) for r in requests]
assert requests and (acks_late[True] or acks_late[False])
def on_accepted(pid, time_accepted):
[req.acknowledge() for req in acks_late[False]]
def on_return(result):
[req.acknowledge() for req in acks_late[True]]
loglevel, logfile = self._logging
return self._pool.apply_async(apply_batches_task,
(self, args, loglevel, logfile),
accept_callback=on_accepted,
callback=acks_late[True] and on_return or None)
def debug(self, msg):
self.logger.debug("%s: %s", self.name, msg)
@cached_property
def logger(self):
return self.app.log.get_default_logger()
|