Iamsinghrajat Async Cache Save

A caching solution for asyncio

Project README

async-cache

:info: A caching solution for asyncio

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Installation

.. code-block:: shell

pip install async-cache

Basic Usage

.. code-block:: python

# 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)
async def func(*args, **kwargs):
    """
    time_to_live : max time for which a cached result  is valid
    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

class Object:
    @AsyncTTL(time_to_live=60, maxsize=1024, skip_args=1)
    async def func(*args, **kwargs):
        pass

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

Advanced Usage

.. code-block:: python

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.


# If you want to refresh the function result use the `use_cache=False`
# param in the function invocation
func(*args, use_cache=False, **kwargs)
Open Source Agenda is not affiliated with "Iamsinghrajat Async Cache" Project. README Source: iamsinghrajat/async-cache

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