dogpile.cache / dogpile / cache / backends /

"""Provides backends for talking to memcached."""

from dogpile.cache.api import CacheBackend, NO_VALUE
from dogpile.cache import util
import random
import time

class MemcachedLock(object):
    """Simple distributed lock using memcached.
    This is an adaptation of the lock featured at

    def __init__(self, client_fn, key):
        self.client_fn = client_fn
        self.key = "_lock" + key

    def acquire(self, wait=True):
        client = self.client_fn()
        i = 0
        while True:
            if client.add(self.key, 1):
                return True
            elif not wait:
                return False
                sleep_time = (((i+1)*random.random()) + 2**i) / 2.5
            if i < 15:
                i += 1

    def release(self):
        client = self.client_fn()

class PylibmcBackend(CacheBackend):
    """A backend for the 
    `pylibmc <>`_ 
    memcached client.
    A configuration illustrating several of the optional
    arguments described in the pylibmc documentation::
        from dogpile.cache import make_region

        region = make_region().configure(
            expiration_time = 3600,
            arguments = {
                'behaviors':{"tcp_nodelay": True,"ketama":True}
    Arguments which can be passed to the ``arguments`` 
    dictionary include:
    :param url: the string URL to connect to.  Can be a single
     string or a list of strings.  This is the only argument
     that's required.
    :param distributed_lock: boolean, when True, will use a
     memcached-lock as the dogpile lock (see :class:`.MemcachedLock`).   
     Use this when multiple
     processes will be talking to the same memcached instance.
     When left at False, dogpile will coordinate on a regular
     threading mutex.  
    :param binary: sets the ``binary`` flag understood by
    :param behaviors: a dictionary which will be passed to
     ``pylibmc.Client`` as the ``behaviors`` parameter.
    :param memcached_expire_time: integer, when present will
     be passed as the ``time`` parameter to ``pylibmc.Client.set``.
     This is used to set the memcached expiry time for a value.
     .. note::

         This parameter is **different** from Dogpile's own 
         ``expiration_time``, which is the number of seconds after
         which Dogpile will consider the value to be expired. 
         When Dogpile considers a value to be expired, 
         it **continues to use the value** until generation
         of a new value is complete, when using 
         Therefore, if you are setting ``memcached_expire_time``, you'll
         want to make sure it is greater than ``expiration_time`` 
         by at least enough seconds for new values to be generated,
         else the value won't be available during a regeneration, 
         forcing all threads to wait for a regeneration each time 
         a value expires.

    :param min_compres_len: Integer, will be passed as the 
     ``min_compress_len`` parameter to the ``pylibmc.Client.set``
    The :class:`.PylibmcBackend` uses a ``threading.local()``
    object to store individual ``pylibmc.Client`` objects per thread.
    ``threading.local()`` has the advantage over pylibmc's built-in
    thread pool in that it automatically discards objects associated
    with a particular thread when that thread ends.

    def __init__(self, arguments):
        self.url = util.to_list(arguments['url'])
        self.binary = arguments.get('binary', False)
        self.distributed_lock = arguments.get('distributed_lock', False)
        self.behaviors = arguments.get('behaviors', {})
        self.memcached_expire_time = arguments.get(
                                        'memcached_expire_time', 0)
        self.min_compress_len = arguments.get('min_compress_len', 0)

        self._pylibmc_set_args = {}
        if "memcached_expire_time" in arguments:
            self._pylibmc_set_args["time"] = \
        if "min_compress_len" in arguments:
            self._pylibmc_set_args["min_compress_len"] = \
        backend = self

        # using a plain threading.local here.   threading.local
        # automatically deletes the __dict__ when a thread ends,
        # so the idea is that this is superior to pylibmc's
        # own ThreadMappedPool which doesn't handle this 
        # automatically.
        class ClientPool(util.threading.local):
            def __init__(self):
                self.memcached = backend._create_client()

        self._clients = ClientPool()

    def get_mutex(self, key):
        if self.distributed_lock:
            return MemcachedLock(lambda: self._clients.memcached, key)
            return None

    def _imports(self):
        global pylibmc
        import pylibmc

    def _create_client(self):
        return pylibmc.Client(self.url, 

    def get(self, key):
        value = self._clients.memcached.get(key)
        if value is None:
            return NO_VALUE
            return value

    def set(self, key, value):

    def delete(self, key):