aiocache | Asyncio cache manager for redis , memcached and memory | Caching library
kandi X-RAY | aiocache Summary
kandi X-RAY | aiocache Summary
Asyncio cache manager for redis, memcached and memory
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of aiocache
aiocache Key Features
aiocache Examples and Code Snippets
.
├── app_cache.py
├── app_db.py
├── docker-compose.yml
├── __init__.py
version: '3'
services:
database:
image: postgres:12-alpine
ports:
- "5432:5432"
environment:
POSTGRES_PASSWORD: tes
import functools
import inspect
import logging
from cachetools.keys import hashkey
logger = logging.getLogger(__name__)
class NullContext(object):
"""A class for noop context managers."""
def __enter__(self):
"""Return
Community Discussions
Trending Discussions on aiocache
QUESTION
So in aiohttp it is suggested to reuse the ClientSession to avoid overhead.
So say I have something like this:
...ANSWER
Answered 2021-May-17 at 00:27After doing a lot of research I found the cachetools
library and this pull request.
I just took the solution from there: this is an implementation of asyncio support for cachetools
. And cachetools
already allows you to pass a key parameter that allows you to chose which parameters of the function will be involved in the hashing.
QUESTION
I'm trying to implement Redis on my endpoint using the aiocache library. The first test I did with aiocache I used @cache without indicating any other service and everything worked. But when I tried to use Redis I see this error (the endpoint still returns the request)
...ANSWER
Answered 2020-Aug-14 at 16:12The error says it all
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aiocache
You can use aiocache like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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