yapcache
Yet another Python cache library.
Table of Contents
Installation
pip install yapcache
Usage
In memory cache:
import asyncio
from yapcache import memoize
from yapcache.caches.memory import InMemoryCache
cache = InMemoryCache(maxsize=1_000, key_prefix=f"example:")
@memoize(cache, ttl=60, cache_key=lambda n: f"slow-{n}")
async def slow_fn(n: int):
await asyncio.sleep(n)
async def example():
await slow_fn(3)
await slow_fn(3) # cached!
asyncio.run(example())
Redis cache:
# ...
from redis.asyncio.client import Redis
from yapcache.caches.redis import RedisCache
redis_client = Redis()
cache = RedisCache(redis_client, key_prefix=f"example:")
Multi-layer cache:
# ...
from yapcache.caches import MultiLayerCache
redis_client = Redis()
cache = MultiLayerCache(
[InMemoryCache(maxsize=2_000), RedisCache(redis_client)],
key_prefix=f"example:",
)
Use lock parameter to protect against thundering herd (only one coroutine/thread
will do the work and update the cache):
# ...
from yapcache.distlock import RedisDistLock
@memoize(
cache,
ttl=60,
cache_key=lambda n: f"slow-{n}",
lock=lambda key: RedisDistLock(redis_client, key),
)
async def slow_fn(n: int):
# ...
Use best_before to serve stale data (update the cache in background):
@memoize(
cache,
ttl=60,
cache_key=lambda n: f"slow-{n}",
best_before=lambda n: time.time() + 30
)
async def slow_fn(n: int):
# ...
License
yapcache is distributed under the terms of the MIT license.
1 maintainer
Metadata
1 maintainer
Release files for yapcache 0.1.23
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| File | Size | Uploaded | |
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| yapcache-0.1.23.tar.gz | 7.2 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| yapcache-0.1.23-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.2 kB
Release files / yapcache-0.1.23.tar.gz
| Download URL | yapcache-0.1.23.tar.gz |
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| Size | 7.2 kB |
| Tags | Source |
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| Tags | Python 3 |
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