cache-alchemy 0.4.5

The Python Cache Toolkit.

Cache Alchemy

The Python Cache Toolkit.

• Free software: MIT license

• Documentation: https://cache-alchemy.readthedocs.io/en/latest/

Installation

$ pipenv install cache-alchemy
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Only Python 3.6+ is supported.

Example

import dataclasses

from redis import Redis

from cache_alchemy import memory_cache, json_cache, pickle_cache
from cache_alchemy.config import DefaultConfig

config = DefaultConfig()
config.cache_redis_client = Redis.from_url(config.CACHE_ALCHEMY_REDIS_URL)


@dataclasses.dataclass
class User:
    name: str


@pickle_cache()
def get(name: str) -> User:
    return User(name=name)


@memory_cache()
def add(i: complex, j: complex) -> complex:
    return i + j


@json_cache()
def add(i: int, j: int) -> int:
    return i + j

Features

• Distributed cache

• Cache clear and partial clear with specific function parameter

• Cache clear cascade by dependency

• Cache Json Serializable function return value with json_cache

• Cache Python Object function return value with pickle_cache

• Cache any function return value with memory_cache

• LRU Dict support

TODO

History

0.4.* (2020)

• Refactory redis cache to json cache

• Support pickle Cache

• Add backend class in function hash

• Add cache key prefix to avoid key conflict

0.2.* (2019)

• Support Partially Clear Cache with Arguments

• Support Flush Backend Cache

• Cache Redis Client Must Decode Responses

0.1.* (2019)

• Support Method and Property Cache

• Support cache as a decorator with no arguments.

• Init Project.