OneCache
Python cache for sync and async code.
Cache uses an LRU algorithm and can optionally set TTLs per entry.
On CPython the cache core is a compiled Cython extension (prebuilt wheels for Linux, macOS and Windows on x86_64 and ARM64). On PyPy, or on platforms without a prebuilt wheel, it falls back to an equivalent pure Python implementation. onecache.COMPILED tells which one is in use.
Tested automatically on CPython 3.10 and 3.14 and PyPy 3.11 across Linux, macOS, and Windows on x86_64 and ARM64 (see the workflow badge). Python 3.8 and 3.9 are still installable and get prebuilt wheels, but are no longer part of the test matrix.
Usage
from onecache import CacheDecorator
from onecache import AsyncCacheDecorator
class Counter:
def __init__(self, count=0):
self.count = count
@pytest.mark.asyncio
async def test_async_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@AsyncCacheDecorator()
async def mycoro(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (await mycoro(counter))
assert 1 == (await mycoro(counter))
def test_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@CacheDecorator()
def sample(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (sample(counter))
assert 1 == (sample(counter))
Decorator classes supports the following arguments
- maxsize (int): Maximun number of items to be cached. default: 512
- ttl (int): time to expire in milliseconds, if None, it does not expire. default: None
- skip_args (bool): apply cache as the function doesn't have any arguments, default: False
- cache_class (class): Class to use for cache instance. default: LRUCache
- refresh_ttl (bool): if cache with ttl, This flag makes key expiration timestamp to be refresh per access. default: False
- thread_safe (bool): tell decorator to use thread safe lock. default=False
- max_mem_size (int): max mem size in bytes, as the sum of
sys.getsizeof(key) + sys.getsizeof(value)of every entry (shallow sizes). default=None which means no limit. For pypy this value is ignored as the objects can change by the JIT compilation.
If num of records exceds maxsize, it drops the least recently used one. With max_mem_size, a value bigger than the limit is not cached.
Use thread_safe=True when the decorated function is called from several threads.
The decorated function exposes its cache as .cache: .cache.expire(*args, **kwargs) drops one entry, .cache.clear() drops all of them, and .cache.cache is a read-only view of the entries.
Set ONECACHE_NO_EXTENSIONS to any non-empty value to force the pure Python implementation. If the extension failed to build when installing from source (e.g. no compiler), pip may keep reusing that pure Python build from its cache; reinstall with pip install --no-cache-dir --force-reinstall onecache after installing a compiler.
Development
Install dependencies with Poetry (includes dev + test groups):
poetry install --with test,dev
Build the Cython extension in place (needed after any change to onecache/_ccore.pyx):
make build_ext
Run the test suite against the compiled and the pure Python implementations:
poetry run pytest
ONECACHE_NO_EXTENSIONS=1 poetry run pytest
onecache/_ccore.pyx and onecache/_core.py implement the same API and must be kept in sync.
Releasing
Pull requests only build cp310 and cp314 wheels, so first run the Wheels workflow by hand on master (Actions → Wheels → Run workflow) to build and test every Python version. Then bump version in pyproject.toml and push a tag with the same value (e.g. 0.9.0). The Wheels workflow builds the wheels with cibuildwheel, the sdist and a pure Python fallback wheel, and publishes them to PyPI through trusted publishing. That needs a pypi environment in the GitHub repository settings and a trusted publisher on PyPI for this repository, workflow wheels.yml and environment pypi.
Lint and format checks:
poetry run flake8
poetry run autopep8 --in-place --recursive onecache tests
Contribute
- Fork
- create a branch
feature/your_feature - commit - push - pull request
Thanks :)
Metadata
Release files for onecache 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| onecache-0.9.0.tar.gz | 17.2 kB | Details |
Built distributions (wheels)
Total release size: 14.0 MB
Release files / onecache-0.9.0.tar.gz
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