128 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
			
		
		
	
	
			128 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
# -*- coding: utf-8 -*-
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# Copyright 2015, 2016 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from synapse.util.caches import register_cache
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import logging
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logger = logging.getLogger(__name__)
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class ExpiringCache(object):
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    def __init__(self, cache_name, clock, max_len=0, expiry_ms=0,
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                 reset_expiry_on_get=False):
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        """
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        Args:
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            cache_name (str): Name of this cache, used for logging.
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            clock (Clock)
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            max_len (int): Max size of dict. If the dict grows larger than this
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                then the oldest items get automatically evicted. Default is 0,
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                which indicates there is no max limit.
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            expiry_ms (int): How long before an item is evicted from the cache
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                in milliseconds. Default is 0, indicating items never get
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                evicted based on time.
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            reset_expiry_on_get (bool): If true, will reset the expiry time for
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                an item on access. Defaults to False.
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        """
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        self._cache_name = cache_name
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        self._clock = clock
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        self._max_len = max_len
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        self._expiry_ms = expiry_ms
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        self._reset_expiry_on_get = reset_expiry_on_get
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        self._cache = {}
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        self.metrics = register_cache(cache_name, self._cache)
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    def start(self):
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        if not self._expiry_ms:
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            # Don't bother starting the loop if things never expire
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            return
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        def f():
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            self._prune_cache()
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        self._clock.looping_call(f, self._expiry_ms / 2)
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    def __setitem__(self, key, value):
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        now = self._clock.time_msec()
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        self._cache[key] = _CacheEntry(now, value)
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        # Evict if there are now too many items
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        if self._max_len and len(self._cache.keys()) > self._max_len:
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            sorted_entries = sorted(
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                self._cache.items(),
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                key=lambda item: item[1].time,
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            )
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            for k, _ in sorted_entries[self._max_len:]:
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                self._cache.pop(k)
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    def __getitem__(self, key):
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        try:
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            entry = self._cache[key]
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            self.metrics.inc_hits()
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        except KeyError:
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            self.metrics.inc_misses()
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            raise
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        if self._reset_expiry_on_get:
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            entry.time = self._clock.time_msec()
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        return entry.value
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    def get(self, key, default=None):
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        try:
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            return self[key]
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        except KeyError:
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            return default
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    def _prune_cache(self):
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        if not self._expiry_ms:
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            # zero expiry time means don't expire. This should never get called
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            # since we have this check in start too.
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            return
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        begin_length = len(self._cache)
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        now = self._clock.time_msec()
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        keys_to_delete = set()
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        for key, cache_entry in self._cache.items():
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            if now - cache_entry.time > self._expiry_ms:
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                keys_to_delete.add(key)
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        for k in keys_to_delete:
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            self._cache.pop(k)
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        logger.debug(
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            "[%s] _prune_cache before: %d, after len: %d",
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            self._cache_name, begin_length, len(self._cache)
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        )
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    def __len__(self):
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        return len(self._cache)
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class _CacheEntry(object):
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    def __init__(self, time, value):
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        self.time = time
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        self.value = value
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