cacheout
v0.16.0A caching library for Python
$ uv add cacheoutcacheout
A caching library for Python.
Links
- Project: https://github.com/dgilland/cacheout
- Documentation: https://cacheout.readthedocs.io
- PyPI: https://pypi.python.org/pypi/cacheout/
- Github Actions: https://github.com/dgilland/cacheout/actions
Features
- In-memory caching using dictionary backend
- Cache manager for easily accessing multiple cache objects
- Reconfigurable cache settings for runtime setup when using module-level cache objects
- Maximum cache size enforcement
- Default cache TTL (time-to-live) as well as custom TTLs per cache entry
- Bulk set, get, and delete operations
- Bulk get and delete operations filtered by string, regex, or function
- Memoization decorators
- Thread safe
- Multiple cache implementations:
- FIFO (First In, First Out)
- LIFO (Last In, First Out)
- LRU (Least Recently Used)
- MRU (Most Recently Used)
- LFU (Least Frequently Used)
- RR (Random Replacement)
Roadmap
- Layered caching (multi-level caching)
Requirements
- Python >= 3.7
Quickstart
Install using pip:
pip install cacheout
Let's start with some basic caching by creating a cache object:
from cacheout import Cache
cache = Cache()
By default the cache object will have a maximum size of 256, default TTL (time-to-live) expiration turned off, TTL timer that uses time.time (meaning TTL is in seconds), and the default for missing keys as None. These values can be set with:
cache = Cache(maxsize=256, ttl=0, timer=time.time, default=None) # defaults
Set a cache key using cache.set():
cache.set(1, 'foobar')
Get the value of a cache key with cache.get():
assert cache.get(1) == 'foobar'
Get a default value when cache key isn't set:
assert cache.get(2) is None
assert cache.get(2, default=False) is False
assert 2 not in cache
Provide cache values using a default callable:
assert 2 not in cache
assert cache.get(2, default=lambda key: key) == 2
assert cache.get(2) == 2
assert 2 in cache
Provide a global default:
cache2 = Cache(default=True)
assert cache2.get('missing') is True
assert 'missing' not in cache2
cache3 = Cache(default=lambda key: key)
assert cache3.get('missing') == 'missing'
assert 'missing' in cache3
Set the TTL (time-to-live) expiration per entry (default TTL units are in seconds when Cache.timer is set to the default time.time; otherwise, the units are determined by the custom timer function):
cache.set(3, {'data': {}}, ttl=1)
assert cache.get(3) == {'data': {}}
time.sleep(1)
assert cache.get(3) is None
Memoize a function where cache keys are generated from the called function parameters:
@cache.memoize()
def func(a, b):
pass
Provide a TTL for the memoized function and incorporate argument types into generated cache keys:
@cache.memoize(ttl=5, typed=True)
def func(a, b):
pass
# func(1, 2) has different cache key than func(1.0, 2.0), whereas,
# with "typed=False" (the default), they would have the same key
Access the original memoized function:
@cache.memoize()
def func(a, b):
pass
func.uncached(1, 2)
Get a copy of the entire cache with cache.copy():
assert cache.copy() == {1: 'foobar', 2: ('foo', 'bar', 'baz')}
Delete a cache key with cache.delete():
cache.delete(1)
assert cache.get(1) is None
Clear the entire cache with cache.clear():
cache.clear()
assert len(cache) == 0
Perform bulk operations with cache.set_many(), cache.get_many(), and cache.delete_many():
cache.set_many({'a': 1, 'b': 2, 'c': 3})
assert cache.get_many(['a', 'b', 'c']) == {'a': 1, 'b': 2, 'c': 3}
cache.delete_many(['a', 'b', 'c'])
assert cache.count() == 0
Use complex filtering in cache.get_many() and cache.delete_many():
import re
cache.set_many({'a_1': 1, 'a_2': 2, '123': 3, 'b': 4})
cache.get_many('a_*') == {'a_1': 1, 'a_2': 2}
cache.get_many(re.compile(r'\d')) == {'123': 3}
cache.get_many(lambda key: '2' in key) == {'a_2': 2, '123': 3}
cache.delete_many('a_*')
assert dict(cache.items()) == {'123': 3, 'b': 4}
Reconfigure the cache object after creation with cache.configure():
cache.configure(maxsize=1000, ttl=5 * 60)
Get keys, values, and items from the cache with cache.keys(), cache.values(), and cache.items():
cache.set_many({'a': 1, 'b': 2, 'c': 3})
assert list(cache.keys()) == ['a', 'b', 'c']
assert list(cache.values()) == [1, 2, 3]
assert list(cache.items()) == [('a', 1), ('b', 2), ('c', 3)]
Iterate over cache keys:
for key in cache:
print(key, cache.get(key))
# 'a' 1
# 'b' 2
# 'c' 3
Check if key exists with cache.has() and key in cache:
assert cache.has('a')
assert 'a' in cache
Use callbacks to be notified of on-get, on-set, and on-delete events:
def on_get(key, value, exists):
pass
def on_set(key, new_value, old_value):
pass
def on_delete(key, value, cause):
pass
Enable cache statistics:
cache_with_stats = Cache(enable_stats=True)
# Or via configure()
cache.configure(enable_stats=True)
# Or directly via Cache.stats
cache.stats.enable()
Get cache statistics:
print(cache.stats.info())
Manage tracking of statistics:
# Pause tracking (collected stats will not be affected)
cache.stats.pause()
# Resume tracking
cache.stats.resume()
# Reset stats
cache.stats.reset()
# Disable stats (WARNING: This resets stats)
cache.stats.disable()
# Disable via configure() (WARNING: This resets stats)
cache.configure(enable_stats=False)
Manage multiple caches using CacheManager:
from cacheout import CacheManager
cacheman = CacheManager({'a': {'maxsize': 100},
'b': {'maxsize': 200, 'ttl': 900},
'c': {})
cacheman['a'].set('key1', 'value1')
value = cacheman['a'].get('key')
cacheman['b'].set('key2', 'value2')
assert cacheman['b'].maxsize == 200
assert cacheman['b'].ttl == 900
cacheman['c'].set('key3', 'value3')
cacheman.clear_all()
for name, cache in cacheman:
assert name in cacheman
assert len(cache) == 0
For more details, see the full documentation at https://cacheout.readthedocs.io.
Changelog
v0.16.0 (2023-12-22)
- Add
Cache.on_getcallback hook. Thanks uncle-lv_! - Add
Cache.on_setcallback hook. Thanks uncle-lv_!
v0.15.0 (2023-11-03)
- Add cache statistics. Thanks uncle-lv_!
- Add
Cache.get_ttl. Thanks uncle-lv_! - Add
Cache.on_deletecallback hook. Thanks uncle-lv_! - Add support for Python 3.11 and 3.12.
v0.14.1 (2022-08-16)
- Set minimum Python version to 3.7 in setup.cfg.
v0.14.0 (2022-08-16)
- Add support for Python 3.10.
- Drop support for Python 3.6. Minimum supported version is 3.7.
- Clarify docs around TTL to make it explicit what time units it uses by default.
v0.13.1 (2021-04-28)
- Minor optimization in
Cache.get_many|delete_many.
v0.13.0 (2021-04-27)
- Add
cache_keyattribute to memoized functions that can be used to generate the cache key used for a given set of function arguments. Thanks johnbergvall_! - Fix bug in
Cache.fullthat would result in an exception if cache created withmaxsize=NonelikeCache(maxsize=None). Thanks AllinolCP_! - Fix bug in
Cache.get_manythat resulted inRuntimeError: OrderedDict mutated during iterationwhen cache keys expire during theget_manycall. - Remove
defaultargument fromCache.get_many. A default value on missing cache key was only ever returned if a list of keys was passed in and those keys happened to expire during theget_manycall. breaking change
v0.12.1 (2021-04-19)
- Fix regression in
0.12.0that resulted in missing docstrings for some methods ofLFUCacheandLRUCache.
v0.12.0 (2021-04-19)
- Fix bug in
Cache.__contains__where it would returnTruefor an expired key. - Add type annotations.
- Add official support for Python 3.8 and 3.9.
- Drop support for Python 3.4 and 3.5.
v0.11.2 (2019-09-30)
- Fix bug in
LFUCachethat would result cache growing beyondmaxsizelimit.
v0.11.1 (2019-01-09)
- Fix issue with asyncio support in memoization decorators that caused a
RuntimeError: await wasn't used with futurewhen certain types of async functions were used inside the memoized function.
v0.11.0 (2018-10-19)
- Add asyncio support to memoization decorators so they can decorate coroutines.
v0.10.3 (2018-08-01)
- Expose
typedargument of underlyingCache.memoize()`` in ``memoize()`` and ``_memoize()decorators.
v0.10.2 (2018-07-31)
- Fix bug in
LRUCache.get()where supplying adefaultvalue would result in aKeyError.
v0.10.1 (2018-07-15)
- Support Python 3.7.
v0.10.0 (2018-04-03)
- Modify behavior of
defaultargument toCache.get()so that ifdefaultis a callable and the cache key is missing, then it will be called and its return value will be used as the value for cache key and subsequently be set as the value for the key in the cache. (breaking change) - Add
defaultargument toCache()that can be used to override the value fordefaultinCache.get().
v0.9.0 (2018-03-31)
- Merge functionality of
Cache.get_many_by()intoCache.get_many()and removeCache.get_many_by(). (breaking change). - Merge functionality of
Cache.delete_many_by()intoCache.delete_many()and removeCache.delete_many_by(). (breaking change).
v0.8.0 (2018-03-30)
- Add
Cache.get_many_by(). - Add
Cache.delete_many_by(). - Make
Cache.keys()andCache.values()return dictionary view objects instead of yielding items. (breaking change)
v0.7.0 (2018-02-22)
- Changed default cache
maxsizefrom300to256. (breaking change) - Add
Cache.memoize()decorator. - Add standalone memoization decorators:
memoizefifo_memoizelfu_memoizelifo_memoizelru_memoizemru_memoizerr_memoize
v0.6.0 (2018-02-05)
- Add
LIFOCache - Add
FIFOCacheas an alias ofCache.
v0.5.0 (2018-02-04)
- Add
LFUCache - Delete expired items before popping an item in
Cache.popitem().
v0.4.0 (2018-02-02)
- Add
MRUCache - Add
RRCache - Add
Cache.popitem(). - Rename
Cache.expirations()toCache.expire_times(). (breaking change) - Rename
Cache.count()toCache.size(). (breaking change) - Remove
minimumarguement fromCache.evict(). (breaking change)
v0.3.0 (2018-01-31)
- Add
LRUCache. - Add
CacheManager.__repr__(). - Make threading lock usage in
Cachemore fine-grained and eliminate redundant locking. - Fix missing thread-safety in
Cache.__len__()andCache.__contains__().
v0.2.0 (2018-01-30)
- Rename
Cache.setup()toCache.configure(). (breaking change) - Add
CacheManagerclass.
v0.1.0 (2018-01-28)
- Add
Cacheclass.
MIT License
Copyright (c) 2020 Derrick Gilland
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Details
- Version
- 0.16.0
- License
- MIT License
- Python
- >=3.7
- Maintainer
- Derrick Gilland
Links
Maintainers
- Derrick Gilland · [email protected]