"""
Memcached Backends
------------------

Provides backends for talking to `memcached <http://memcached.org>`_.

"""

import random
import threading
import time
import typing
from typing import Any
from typing import Mapping
import warnings

from ..api import CacheBackend
from ..api import NO_VALUE
from ... import util


if typing.TYPE_CHECKING:
    import bmemcached
    import memcache
    import pylibmc
    import pymemcache
else:
    # delayed import
    bmemcached = None  # noqa F811
    memcache = None  # noqa F811
    pylibmc = None  # noqa F811
    pymemcache = None  # noqa F811

__all__ = (
    "GenericMemcachedBackend",
    "MemcachedBackend",
    "PylibmcBackend",
    "PyMemcacheBackend",
    "BMemcachedBackend",
    "MemcachedLock",
)


class MemcachedLock(object):
    """Simple distributed lock using memcached."""

    def __init__(self, client_fn, key, timeout=0):
        self.client_fn = client_fn
        self.key = "_lock" + key
        self.timeout = timeout

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

    def locked(self):
        client = self.client_fn()
        return client.get(self.key) is not None

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


class GenericMemcachedBackend(CacheBackend):
    """Base class for memcached backends.

    This base class accepts a number of paramters
    common to all backends.

    :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 lock_timeout: integer, number of seconds after acquiring a lock that
     memcached should expire it.  This argument is only valid when
     ``distributed_lock`` is ``True``.

     .. versionadded:: 0.5.7

    :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
         :meth:`.CacheRegion.get_or_create`.
         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.

    The :class:`.GenericMemachedBackend` uses a ``threading.local()``
    object to store individual client objects per thread,
    as most modern memcached clients do not appear to be inherently
    threadsafe.

    In particular, ``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.

    """

    set_arguments: Mapping[str, Any] = {}
    """Additional arguments which will be passed
    to the :meth:`set` method."""

    # No need to override serializer, as all the memcached libraries
    # handles that themselves. Still, we support customizing the
    # serializer/deserializer to use better default pickle protocol
    # or completely different serialization mechanism
    serializer = None
    deserializer = None

    def __init__(self, arguments):
        self._imports()
        # 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.
        self.url = util.to_list(arguments["url"])
        self.distributed_lock = arguments.get("distributed_lock", False)
        self.lock_timeout = arguments.get("lock_timeout", 0)
        self.memcached_expire_time = arguments.get("memcached_expire_time", 0)

    def has_lock_timeout(self):
        return self.lock_timeout != 0

    def _imports(self):
        """client library imports go here."""
        raise NotImplementedError()

    def _create_client(self):
        """Creation of a Client instance goes here."""
        raise NotImplementedError()

    @util.memoized_property
    def _clients(self):
        backend = self

        class ClientPool(threading.local):
            def __init__(self):
                self.memcached = backend._create_client()

        return ClientPool()

    @property
    def client(self):
        """Return the memcached client.

        This uses a threading.local by
        default as it appears most modern
        memcached libs aren't inherently
        threadsafe.

        """
        return self._clients.memcached

    def get_mutex(self, key):
        if self.distributed_lock:
            return MemcachedLock(
                lambda: self.client, key, timeout=self.lock_timeout
            )
        else:
            return None

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

    def get_multi(self, keys):
        values = self.client.get_multi(keys)

        return [
            NO_VALUE if val is None else val
            for val in [values.get(key, NO_VALUE) for key in keys]
        ]

    def set(self, key, value):
        self.client.set(key, value, **self.set_arguments)

    def set_multi(self, mapping):
        mapping = {key: value for key, value in mapping.items()}
        self.client.set_multi(mapping, **self.set_arguments)

    def delete(self, key):
        self.client.delete(key)

    def delete_multi(self, keys):
        self.client.delete_multi(keys)


class MemcacheArgs(GenericMemcachedBackend):
    """Mixin which provides support for the 'time' argument to set(),
    'min_compress_len' to other methods.
    """

    def __init__(self, arguments):
        self.min_compress_len = arguments.get("min_compress_len", 0)

        self.set_arguments = {}
        if "memcached_expire_time" in arguments:
            self.set_arguments["time"] = arguments["memcached_expire_time"]
        if "min_compress_len" in arguments:
            self.set_arguments["min_compress_len"] = arguments[
                "min_compress_len"
            ]
        super(MemcacheArgs, self).__init__(arguments)


class PylibmcBackend(MemcacheArgs, GenericMemcachedBackend):
    """A backend for the
    `pylibmc <http://sendapatch.se/projects/pylibmc/index.html>`_
    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(
            'dogpile.cache.pylibmc',
            expiration_time = 3600,
            arguments = {
                'url':["127.0.0.1"],
                'binary':True,
                'behaviors':{"tcp_nodelay": True,"ketama":True}
            }
        )

    Arguments accepted here include those of
    :class:`.GenericMemcachedBackend`, as well as
    those below.

    :param binary: sets the ``binary`` flag understood by
     ``pylibmc.Client``.
    :param behaviors: a dictionary which will be passed to
     ``pylibmc.Client`` as the ``behaviors`` parameter.
    :param min_compress_len: Integer, will be passed as the
     ``min_compress_len`` parameter to the ``pylibmc.Client.set``
     method.

    """

    def __init__(self, arguments):
        self.binary = arguments.get("binary", False)
        self.behaviors = arguments.get("behaviors", {})
        super(PylibmcBackend, self).__init__(arguments)

    def _imports(self):
        global pylibmc
        import pylibmc  # noqa

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


class MemcachedBackend(MemcacheArgs, GenericMemcachedBackend):
    """A backend using the standard
    `Python-memcached <http://www.tummy.com/Community/software/\
    python-memcached/>`_
    library.

    Example::

        from dogpile.cache import make_region

        region = make_region().configure(
            'dogpile.cache.memcached',
            expiration_time = 3600,
            arguments = {
                'url':"127.0.0.1:11211"
            }
        )

    :param dead_retry: Number of seconds memcached server is considered dead
     before it is tried again. Will be passed to ``memcache.Client``
     as the ``dead_retry`` parameter.

     .. versionchanged:: 1.1.8  Moved the ``dead_retry`` argument which was
        erroneously added to "set_parameters" to
        be part of the Memcached connection arguments.

    :param socket_timeout: Timeout in seconds for every call to a server.
      Will be passed to ``memcache.Client`` as the ``socket_timeout``
      parameter.

      .. versionchanged:: 1.1.8  Moved the ``socket_timeout`` argument which
         was erroneously added to "set_parameters"
         to be part of the Memcached connection arguments.

    """

    def __init__(self, arguments):
        self.dead_retry = arguments.get("dead_retry", 30)
        self.socket_timeout = arguments.get("socket_timeout", 3)
        super(MemcachedBackend, self).__init__(arguments)

    def _imports(self):
        global memcache
        import memcache  # noqa

    def _create_client(self):
        return memcache.Client(
            self.url,
            dead_retry=self.dead_retry,
            socket_timeout=self.socket_timeout,
        )


class BMemcachedBackend(GenericMemcachedBackend):
    """A backend for the
    `python-binary-memcached <https://github.com/jaysonsantos/\
    python-binary-memcached>`_
    memcached client.

    This is a pure Python memcached client which includes
    security features like SASL and SSL/TLS.

    SASL is a standard for adding authentication mechanisms
    to protocols in a way that is protocol independent.

    A typical configuration using username/password::

        from dogpile.cache import make_region

        region = make_region().configure(
            'dogpile.cache.bmemcached',
            expiration_time = 3600,
            arguments = {
                'url':["127.0.0.1"],
                'username':'scott',
                'password':'tiger'
            }
        )

    A typical configuration using tls_context::

        import ssl
        from dogpile.cache import make_region

        ctx = ssl.create_default_context(cafile="/path/to/my-ca.pem")

        region = make_region().configure(
            'dogpile.cache.bmemcached',
            expiration_time = 3600,
            arguments = {
                'url':["127.0.0.1"],
                'tls_context':ctx,
            }
        )

    For advanced ways to configure TLS creating a more complex
    tls_context visit https://docs.python.org/3/library/ssl.html

    Arguments which can be passed to the ``arguments``
    dictionary include:

    :param username: optional username, will be used for
     SASL authentication.
    :param password: optional password, will be used for
     SASL authentication.
    :param tls_context: optional TLS context, will be used for
     TLS connections.

     .. versionadded:: 1.0.2

    """

    def __init__(self, arguments):
        self.username = arguments.get("username", None)
        self.password = arguments.get("password", None)
        self.tls_context = arguments.get("tls_context", None)
        super(BMemcachedBackend, self).__init__(arguments)

    def _imports(self):
        global bmemcached
        import bmemcached

        class RepairBMemcachedAPI(bmemcached.Client):
            """Repairs BMemcached's non-standard method
            signatures, which was fixed in BMemcached
            ef206ed4473fec3b639e.

            """

            def add(self, key, value, timeout=0):
                try:
                    return super(RepairBMemcachedAPI, self).add(
                        key, value, timeout
                    )
                except ValueError:
                    return False

        self.Client = RepairBMemcachedAPI

    def _create_client(self):
        return self.Client(
            self.url,
            username=self.username,
            password=self.password,
            tls_context=self.tls_context,
        )

    def delete_multi(self, keys):
        """python-binary-memcached api does not implements delete_multi"""
        for key in keys:
            self.delete(key)


class PyMemcacheBackend(GenericMemcachedBackend):
    """A backend for the
    `pymemcache <https://github.com/pinterest/pymemcache>`_
    memcached client.

    A comprehensive, fast, pure Python memcached client

    .. versionadded:: 1.1.2

    pymemcache supports the following features:

    * Complete implementation of the memcached text protocol.
    * Configurable timeouts for socket connect and send/recv calls.
    * Access to the "noreply" flag, which can significantly increase
      the speed of writes.
    * Flexible, simple approach to serialization and deserialization.
    * The (optional) ability to treat network and memcached errors as
      cache misses.

    dogpile.cache uses the ``HashClient`` from pymemcache in order to reduce
    API differences when compared to other memcached client drivers.
    This allows the user to provide a single server or a list of memcached
    servers.

    Arguments which can be passed to the ``arguments``
    dictionary include:

    :param tls_context: optional TLS context, will be used for
     TLS connections.

     A typical configuration using tls_context::

        import ssl
        from dogpile.cache import make_region

        ctx = ssl.create_default_context(cafile="/path/to/my-ca.pem")

        region = make_region().configure(
            'dogpile.cache.pymemcache',
            expiration_time = 3600,
            arguments = {
                'url':["127.0.0.1"],
                'tls_context':ctx,
            }
        )

     .. seealso::

        `<https://docs.python.org/3/library/ssl.html>`_ - additional TLS
        documentation.

    :param serde: optional "serde". Defaults to
     ``pymemcache.serde.pickle_serde``.

    :param default_noreply:  defaults to False.  When set to True this flag
     enables the pymemcache "noreply" feature.  See the pymemcache
     documentation for further details.

    :param socket_keepalive: optional socket keepalive, will be used for
     TCP keepalive configuration.  Use of this parameter requires pymemcache
     3.5.0 or greater.  This parameter
     accepts a
     `pymemcache.client.base.KeepAliveOpts
     <https://pymemcache.readthedocs.io/en/latest/apidoc/pymemcache.client.base.html#pymemcache.client.base.KeepaliveOpts>`_
     object.

     A typical configuration using ``socket_keepalive``::

        from pymemcache import KeepaliveOpts
        from dogpile.cache import make_region

        # Using the default keepalive configuration
        socket_keepalive = KeepaliveOpts()

        region = make_region().configure(
            'dogpile.cache.pymemcache',
            expiration_time = 3600,
            arguments = {
                'url':["127.0.0.1"],
                'socket_keepalive': socket_keepalive
            }
        )

     .. versionadded:: 1.1.4 - added support for ``socket_keepalive``.

    :param enable_retry_client: optional flag to enable retry client
     mechanisms to handle failure.  Defaults to False.  When set to ``True``,
     the :paramref:`.PyMemcacheBackend.retry_attempts` parameter must also
     be set, along with optional parameters
     :paramref:`.PyMemcacheBackend.retry_delay`.
     :paramref:`.PyMemcacheBackend.retry_for`,
     :paramref:`.PyMemcacheBackend.do_not_retry_for`.

     .. seealso::

        `<https://pymemcache.readthedocs.io/en/latest/getting_started.html#using-the-built-in-retrying-mechanism>`_ -
        in the pymemcache documentation

     .. versionadded:: 1.1.4

    :param retry_attempts: how many times to attempt an action with
     pymemcache's retrying wrapper before failing. Must be 1 or above.
     Defaults to None.

     .. versionadded:: 1.1.4

    :param retry_delay: optional int|float, how many seconds to sleep between
     each attempt. Used by the retry wrapper. Defaults to None.

     .. versionadded:: 1.1.4

    :param retry_for: optional None|tuple|set|list, what exceptions to
     allow retries for. Will allow retries for all exceptions if None.
     Example: ``(MemcacheClientError, MemcacheUnexpectedCloseError)``
     Accepts any class that is a subclass of Exception.  Defaults to None.

     .. versionadded:: 1.1.4

    :param do_not_retry_for: optional None|tuple|set|list, what
     exceptions should be retried. Will not block retries for any Exception if
     None. Example: ``(IOError, MemcacheIllegalInputError)``
     Accepts any class that is a subclass of Exception. Defaults to None.

     .. versionadded:: 1.1.4

    :param hashclient_retry_attempts: Amount of times a client should be tried
     before it is marked dead and removed from the pool in the HashClient's
     internal mechanisms.

     .. versionadded:: 1.1.5

    :param hashclient_retry_timeout: Time in seconds that should pass between
     retry attempts in the HashClient's internal mechanisms.

     .. versionadded:: 1.1.5

    :param dead_timeout: Time in seconds before attempting to add a node
     back in the pool in the HashClient's internal mechanisms.

     .. versionadded:: 1.1.5

    """  # noqa E501

    def __init__(self, arguments):
        super().__init__(arguments)

        self.serde = arguments.get("serde", pymemcache.serde.pickle_serde)
        self.default_noreply = arguments.get("default_noreply", False)
        self.tls_context = arguments.get("tls_context", None)
        self.socket_keepalive = arguments.get("socket_keepalive", None)
        self.enable_retry_client = arguments.get("enable_retry_client", False)
        self.retry_attempts = arguments.get("retry_attempts", None)
        self.retry_delay = arguments.get("retry_delay", None)
        self.retry_for = arguments.get("retry_for", None)
        self.do_not_retry_for = arguments.get("do_not_retry_for", None)
        self.hashclient_retry_attempts = arguments.get(
            "hashclient_retry_attempts", 2
        )
        self.hashclient_retry_timeout = arguments.get(
            "hashclient_retry_timeout", 1
        )
        self.dead_timeout = arguments.get("hashclient_dead_timeout", 60)
        if (
            self.retry_delay is not None
            or self.retry_attempts is not None
            or self.retry_for is not None
            or self.do_not_retry_for is not None
        ) and not self.enable_retry_client:
            warnings.warn(
                "enable_retry_client is not set; retry options "
                "will be ignored"
            )

    def _imports(self):
        global pymemcache
        import pymemcache

    def _create_client(self):
        _kwargs = {
            "serde": self.serde,
            "default_noreply": self.default_noreply,
            "tls_context": self.tls_context,
            "retry_attempts": self.hashclient_retry_attempts,
            "retry_timeout": self.hashclient_retry_timeout,
            "dead_timeout": self.dead_timeout,
        }
        if self.socket_keepalive is not None:
            _kwargs.update({"socket_keepalive": self.socket_keepalive})

        client = pymemcache.client.hash.HashClient(self.url, **_kwargs)
        if self.enable_retry_client:
            return pymemcache.client.retrying.RetryingClient(
                client,
                attempts=self.retry_attempts,
                retry_delay=self.retry_delay,
                retry_for=self.retry_for,
                do_not_retry_for=self.do_not_retry_for,
            )

        return client