pymockache 0.0.1

Caching for separated functions

Pymockache

Caching lib, which makes possible to cache function result. It works like mock, but mocking is static result. Library writes first computed result of function to caching backend and restores result from it for subsequent function calls with the same properties.

First of all it was made for async and redis as backend.

How to run redis into docker:

 docker run --name caching-redis -p 6379:6379 -d redis

How to use:

from lib.async_.decorators import AsyncCachingWrapper
from lib.async_.backends.redis import AsyncRedisCachingBackend
import aiohttp
import asyncio
import logging
import time


logger = logging.getLogger(__name__)
caching_backend = AsyncRedisCachingBackend(
    redis_host="redis://localhost:6379/0"
)


@AsyncCachingWrapper(
    backend=caching_backend,
    sign_variables=["page_url"],
    expire_milliseconds=100000,
    logger=logger,
    log_active=True
)
async def get_page_text(page_url) -> str:
    """
    Function returns text of http response from page_url.
    """
    async with aiohttp.ClientSession() as session:
        async with session.get(page_url) as response:
            await asyncio.sleep(2) # Little sleep for clarity of the result
            html = await response.text()
            return html


async def main():
    urls_list = [
        "https://www.google.com/",
        "https://www.python.org",
        "https://www.google.com/",
        "https://www.python.org"
    ]
    for url in urls_list:
        t0 = time.time()
        text = await get_page_text(page_url=url)
        t1 = time.time()
        delta = t1 - t0
        print(f"Url: {url}. Text length: {len(text)}. Total time: {str(delta)}")


if __name__ == '__main__':
    asyncio.run(main())

Result:

Url: https://www.google.com/. Text length: 13337. Total time: 2.237496852874756
Url: https://www.python.org. Text length: 50053. Total time: 2.20656418800354
Url: https://www.google.com/. Text length: 13337. Total time: 0.010967254638671875
Url: https://www.python.org. Text length: 50053. Total time: 0.012981891632080078