- info:
Simple lru cache for asyncio
Installation
pip install async-lruUsage
This package is a port of Python’s built-in functools.lru_cache function for asyncio. To better handle async behaviour, it also ensures multiple concurrent calls will only result in 1 call to the wrapped function, with all awaits receiving the result of that call when it completes.
import asyncio
import aiohttp
from async_lru import alru_cache
@alru_cache(maxsize=32)
async def get_pep(num):
resource = 'http://www.python.org/dev/peps/pep-%04d/' % num
async with aiohttp.ClientSession() as session:
try:
async with session.get(resource) as s:
return await s.read()
except aiohttp.ClientError:
return 'Not Found'
async def main():
for n in 8, 290, 308, 320, 8, 218, 320, 279, 289, 320, 9991:
pep = await get_pep(n)
print(n, len(pep))
print(get_pep.cache_info())
# CacheInfo(hits=3, misses=8, maxsize=32, currsize=8)
# closing is optional, but highly recommended
await get_pep.cache_close()
asyncio.run(main())TTL (time-to-live in seconds, expiration on timeout) is supported by accepting ttl configuration parameter (off by default):
@alru_cache(ttl=5)
async def func(arg):
return arg * 2The library supports explicit invalidation for specific function call by cache_invalidate():
@alru_cache(ttl=5)
async def func(arg1, arg2):
return arg1 + arg2
func.cache_invalidate(1, arg2=2)The method returns True if corresponding arguments set was cached already, False otherwise.
Benchmarks
async-lru uses CodSpeed for performance regression testing.
To run the benchmarks locally:
pip install -r requirements-dev.txt
pytest --codspeed benchmark.pyThe benchmark suite covers both bounded (with maxsize) and unbounded (no maxsize) cache configurations. Scenarios include:
Cache hit
Cache miss
Cache fill/eviction (cycling through more keys than maxsize)
Cache clear
TTL expiry
Cache invalidation
Cache info retrieval
Concurrent cache hits
Baseline (uncached async function)
On CI, benchmarks are run automatically via GitHub Actions on Python 3.13, and results are uploaded to CodSpeed (if a CODSPEED_TOKEN is configured). You can view performance history and detect regressions on the CodSpeed dashboard.
Thanks
The library was donated by Ocean S.A.
Thanks to the company for contribution.
1 maintainer
Metadata
1 maintainer
Release files for async-lru-threadsafe 2.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| async_lru_threadsafe-2.0.5.tar.gz | 12.0 kB | Without provenance | Details for async_lru_threadsafe-2.0.5.tar.gz |
Built distributions (wheels)
Total release size: 5.3 MB
Release files / async_lru_threadsafe-2.0.5.tar.gz
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