iamsinghrajat/async-cache

A caching solution for asyncio

async-cache

info:	A caching solution for asyncio

Installation

pip install async-cache

Basic Usage

# LRU Cache
from cache import AsyncLRU

@AsyncLRU(maxsize=128)
async def func(*args, **kwargs):
    """
    maxsize : max number of results that are cached.
              if  max limit  is reached the oldest result  is deleted.
    """
    pass


# TTL Cache
from cache import AsyncTTL

@AsyncTTL(time_to_live=60, maxsize=1024, skip_args=1)
async def func(*args, **kwargs):
    """
    time_to_live : max time for which a cached result  is valid (in seconds)
    maxsize : max number of results that are cached.
              if  max limit  is reached the oldest result  is deleted.
    skip_args : Use `1` to skip first arg of func in determining cache key
    """
    pass

# Supports primitive as well as non-primitive function parameter.
# Currently TTL & LRU cache is supported.

Advanced Usage

class CustomDataClass:
    id: int
    value: int


from cache import AsyncLRU

@AsyncLRU(maxsize=128)
async def func(model: "CustomDataClass"):
    ...
    # function logic
    ...

# async-cache will work even if function parameters are:
#   1. orm objects
#   2. request object
#   3. any other custom object type.


# To refresh the function result use the `use_cache=False` param in the function invocation
func(*args, use_cache=False, **kwargs)