forked-synapse/synapse/util/caches/lrucache.py

# -*- coding: utf-8 -*-
# Copyright 2015, 2016 OpenMarket 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.

import threading
from functools import wraps
from typing import Callable, Optional, Type, Union

from synapse.config import cache as cache_config
from synapse.util.caches.treecache import TreeCache


def enumerate_leaves(node, depth):
    if depth == 0:
        yield node
    else:
        for n in node.values():
            for m in enumerate_leaves(n, depth - 1):
                yield m


class _Node:
    __slots__ = ["prev_node", "next_node", "key", "value", "callbacks"]

    def __init__(self, prev_node, next_node, key, value, callbacks=set()):
        self.prev_node = prev_node
        self.next_node = next_node
        self.key = key
        self.value = value
        self.callbacks = callbacks


class LruCache:
    """
    Least-recently-used cache.
    Supports del_multi only if cache_type=TreeCache
    If cache_type=TreeCache, all keys must be tuples.

    Can also set callbacks on objects when getting/setting which are fired
    when that key gets invalidated/evicted.
    """

    def __init__(
        self,
        max_size: int,
        keylen: int = 1,
        cache_type: Type[Union[dict, TreeCache]] = dict,
        size_callback: Optional[Callable] = None,
        evicted_callback: Optional[Callable] = None,
        apply_cache_factor_from_config: bool = True,
    ):
        """
        Args:
            max_size: The maximum amount of entries the cache can hold

            keylen: The length of the tuple used as the cache key. Ignored unless
                cache_type is `TreeCache`.

            cache_type (type):
                type of underlying cache to be used. Typically one of dict
                or TreeCache.

            size_callback (func(V) -> int | None):

            evicted_callback (func(int)|None):
                if not None, called on eviction with the size of the evicted
                entry

            apply_cache_factor_from_config (bool): If true, `max_size` will be
                multiplied by a cache factor derived from the homeserver config
        """
        cache = cache_type()
        self.cache = cache  # Used for introspection.
        self.apply_cache_factor_from_config = apply_cache_factor_from_config

        # Save the original max size, and apply the default size factor.
        self._original_max_size = max_size
        # We previously didn't apply the cache factor here, and as such some caches were
        # not affected by the global cache factor. Add an option here to disable applying
        # the cache factor when a cache is created
        if apply_cache_factor_from_config:
            self.max_size = int(max_size * cache_config.properties.default_factor_size)
        else:
            self.max_size = int(max_size)

        list_root = _Node(None, None, None, None)
        list_root.next_node = list_root
        list_root.prev_node = list_root

        lock = threading.Lock()

        def evict():
            while cache_len() > self.max_size:
                todelete = list_root.prev_node
                evicted_len = delete_node(todelete)
                cache.pop(todelete.key, None)
                if evicted_callback:
                    evicted_callback(evicted_len)

        def synchronized(f):
            @wraps(f)
            def inner(*args, **kwargs):
                with lock:
                    return f(*args, **kwargs)

            return inner

        cached_cache_len = [0]
        if size_callback is not None:

            def cache_len():
                return cached_cache_len[0]

        else:

            def cache_len():
                return len(cache)

        self.len = synchronized(cache_len)

        def add_node(key, value, callbacks=set()):
            prev_node = list_root
            next_node = prev_node.next_node
            node = _Node(prev_node, next_node, key, value, callbacks)
            prev_node.next_node = node
            next_node.prev_node = node
            cache[key] = node

            if size_callback:
                cached_cache_len[0] += size_callback(node.value)

        def move_node_to_front(node):
            prev_node = node.prev_node
            next_node = node.next_node
            prev_node.next_node = next_node
            next_node.prev_node = prev_node
            prev_node = list_root
            next_node = prev_node.next_node
            node.prev_node = prev_node
            node.next_node = next_node
            prev_node.next_node = node
            next_node.prev_node = node

        def delete_node(node):
            prev_node = node.prev_node
            next_node = node.next_node
            prev_node.next_node = next_node
            next_node.prev_node = prev_node

            deleted_len = 1
            if size_callback:
                deleted_len = size_callback(node.value)
                cached_cache_len[0] -= deleted_len

            for cb in node.callbacks:
                cb()
            node.callbacks.clear()
            return deleted_len

        @synchronized
        def cache_get(key, default=None, callbacks=[]):
            node = cache.get(key, None)
            if node is not None:
                move_node_to_front(node)
                node.callbacks.update(callbacks)
                return node.value
            else:
                return default

        @synchronized
        def cache_set(key, value, callbacks=[]):
            node = cache.get(key, None)
            if node is not None:
                # We sometimes store large objects, e.g. dicts, which cause
                # the inequality check to take a long time. So let's only do
                # the check if we have some callbacks to call.
                if node.callbacks and value != node.value:
                    for cb in node.callbacks:
                        cb()
                    node.callbacks.clear()

                # We don't bother to protect this by value != node.value as
                # generally size_callback will be cheap compared with equality
                # checks. (For example, taking the size of two dicts is quicker
                # than comparing them for equality.)
                if size_callback:
                    cached_cache_len[0] -= size_callback(node.value)
                    cached_cache_len[0] += size_callback(value)

                node.callbacks.update(callbacks)

                move_node_to_front(node)
                node.value = value
            else:
                add_node(key, value, set(callbacks))

            evict()

        @synchronized
        def cache_set_default(key, value):
            node = cache.get(key, None)
            if node is not None:
                return node.value
            else:
                add_node(key, value)
                evict()
                return value

        @synchronized
        def cache_pop(key, default=None):
            node = cache.get(key, None)
            if node:
                delete_node(node)
                cache.pop(node.key, None)
                return node.value
            else:
                return default

        @synchronized
        def cache_del_multi(key):
            """
            This will only work if constructed with cache_type=TreeCache
            """
            popped = cache.pop(key)
            if popped is None:
                return
            for leaf in enumerate_leaves(popped, keylen - len(key)):
                delete_node(leaf)

        @synchronized
        def cache_clear():
            list_root.next_node = list_root
            list_root.prev_node = list_root
            for node in cache.values():
                for cb in node.callbacks:
                    cb()
            cache.clear()
            if size_callback:
                cached_cache_len[0] = 0

        @synchronized
        def cache_contains(key):
            return key in cache

        self.sentinel = object()
        self._on_resize = evict
        self.get = cache_get
        self.set = cache_set
        self.setdefault = cache_set_default
        self.pop = cache_pop
        if cache_type is TreeCache:
            self.del_multi = cache_del_multi
        self.len = synchronized(cache_len)
        self.contains = cache_contains
        self.clear = cache_clear

    def __getitem__(self, key):
        result = self.get(key, self.sentinel)
        if result is self.sentinel:
            raise KeyError()
        else:
            return result

    def __setitem__(self, key, value):
        self.set(key, value)

    def __delitem__(self, key, value):
        result = self.pop(key, self.sentinel)
        if result is self.sentinel:
            raise KeyError()

    def __len__(self):
        return self.len()

    def __contains__(self, key):
        return self.contains(key)

    def set_cache_factor(self, factor: float) -> bool:
        """
        Set the cache factor for this individual cache.

        This will trigger a resize if it changes, which may require evicting
        items from the cache.

        Returns:
            bool: Whether the cache changed size or not.
        """
        if not self.apply_cache_factor_from_config:
            return False

        new_size = int(self._original_max_size * factor)
        if new_size != self.max_size:
            self.max_size = new_size
            self._on_resize()
            return True
        return False