cache_house 0.2.2

Caching tool for python

Caching tool for python, working with Redis single instance and Redis cluster mode

PyPi link

Installation

 $ pip install cache-house 

or with poetry

poetry add cache-house

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Quick Start

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cache decorator work with async and sync functions

from cache_house.backends import RedisFactory
from cache_house.cache import cache
import asyncio

RedisFactory.init()

@cache() # default expire time is 180 seconds
async def test_cache(a: int,b: int):
    print("async cached")
    return [a,b]

@cache()
def test_cache_1(a: int, b: int):
    print("cached")
    return [a, b]


if __name__ == "__main__":
    print(test_cache_1(3,4))
    print(asyncio.run(test_cache(1,2)))

Check stored cache key

➜ $ rdcli KEYS "*"
1) cachehouse:main:8f65aed1010f0062a783c83eb430aca0
2) cachehouse:main:f665833ea64e4fc32653df794257ca06

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Setup Redis cache instance

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You can pass all redis-py arguments to RedisCache.init method and additional arguments :

def RedisFactory.init(
        host: str = "localhost",
        port: int = 6379,
        encoder: Callable[..., Any] = ...,
        decoder: Callable[..., Any] = ...,
        namespace: str = ...,
        key_prefix: str = ...,
        key_builder: Callable[..., Any] = ...,
        password: str = ...,
        db: int = ...,
        cluster_mode: bool =False
        **redis_kwargs
    )

or you can set your own encoder and decoder functions

from cache_house.backends import RedisFactory

def custom_encoder(data):
    return json.dumps(data)

def custom_decoder(data):
    return json.loads(data)

RedisFactory.init(encoder=custom_encoder, decoder=custom_decoder)

Default encoder and decoder is pickle module.

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Setup Redis Cluster cache instance

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All manipulation with RedisCache same with a RedisClusterCache

from cache_house.backends import RedisFactory
from cache_house.cache import cache

RedisFactory.init(cluster_mode=True)

@cache()
async def test_cache(a: int,b: int):
    print("cached")
    return [a,b]

def RedisFactory.init(   # for redis cluster
        cls,
        host="localhost",
        port=6379,
        encoder: Callable[..., Any] = pickle_encoder,
        decoder: Callable[..., Any] = pickle_decoder,
        namespace: str = DEFAULT_NAMESPACE,
        key_prefix: str = DEFAULT_PREFIX,
        key_builder: Callable[..., Any] = key_builder,
        cluster_mode: bool = False,
        startup_nodes=None,
        cluster_error_retry_attempts: int = 3,
        require_full_coverage: bool = True,
        skip_full_coverage_check: bool = False,
        reinitialize_steps: int = 10,
        read_from_replicas: bool = False,
    )

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Setup cache instance with FastAPI

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import logging
import uvicorn
from fastapi.applications import FastAPI
from cache_house.backends import RedisFactory
from cache_house.cache import cache

app = FastAPI()


@app.on_event("startup")
async def startup():
    print("app started")
    RedisFactory.init()


@app.on_event("shutdown")
async def shutdown():
    print("SHUTDOWN")
    RedisFactory.close_connections()

@app.get("/notcached")
async def test_route():
    print("notcached")
    return {"hello": "world"}


@app.get("/cached")
@cache()
async def test_route():
    print("cached") # second time when you request this print is not working
    return {"hello": "world"}

if __name__ == "__main__":
    uvicorn.run(app, port=8033)

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You can set expire time (seconds) , namespace and key prefix in cache decorator

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@cache(expire=30, namespace="app", key_prefix="test") 
async def test_cache(a: int,b: int):
    print("cached")
    return [a,b]


if __name__ == "__main__":
    print(asyncio.run(test_cache(1,2)))

Check stored cache

rdcli KEYS "*"
1) test:app:f665833ea64e4fc32653df794257ca06

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If your function works with non-standard data types, you can pass custom encoder and decoder functions to the cache decorator.

---

import asyncio
import json
from cache_house.backends import RedisFactory
from cache_house.cache import cache

RedisFactory.init()

def custom_encoder(data):
    return json.dumps(data)

def custom_decoder(data):
    return json.loads(data)

@cache(expire=30, encoder=custom_encoder, decoder=custom_decoder, namespace="custom")
async def test_cache(a: int, b: int):
    print("async cached")
    return {"a": a, "b": b}


@cache(expire=30)
def test_cache_1(a: int, b: int):
    print("cached")
    return [a, b]


if __name__ == "__main__":
    print(asyncio.run(test_cache(1, 2)))
    print(test_cache_1(3, 4))

Check stored cache

rdcli KEYS "*"
1) cachehouse:main:8f65aed1010f0062a783c83eb430aca0
2) cachehouse:custom:f665833ea64e4fc32653df794257ca06

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All examples works fine with Redis Cluster and single Redis instance.

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Contributing

Free to open issue and send PR

cache-house supports Python >= 3.7