Skip to main content

Minimal persistent memoization cache

Project description

Cachalot PyPI version Pipeline status Coverage reportDownloads

Cachalot is a minimal persistent memoization cache. It provides a decorator, that stores function result for future use. Perfect for heavy computations and I/O operation (such as web requests). On backend, it uses TinyDB for storage.

Features

  • Simple usage via decorator
  • Persistent caching
  • Key expiration
  • Maximum cache size, to prevent bloat

Installation

Cachalot requires Python 3.5 or newer to run.

Python package

You can easily install Cachalot using pip:

pip3 install cachalot

Manual

Alternatively, to get the latest development version, you can clone this repository and then manually install it:

git clone git@gitlab.com:radek-sprta/cachalot.git
cd cachalot
python3 setup.py install

Usage

from cachalot import Cache

@Cache()
def expensive_function():
    return expensive_calculation()

Advanced usage

from cachalot import Cache

@Cache(path='cache.json', timeout=3600, size=5e3, filesize=1e6, retry=True, renew_on_read=True)
def expensive_function():
    return expensive_calculation()
  • path: Path to the database file. Defaults to .cache.json.
  • timeout: How long should the data be cached in seconds. Defaults to 0 (infinite).
  • size: Maximum number of keys cached. Defaults to 0 (infinite).
  • filesize: Maximum size of database file in bytes. Defaults to 0 (infinite).
  • retry: Retry if result is blank. Defaults to False.
  • renew_on_read: Renew the entry, i.e refresh the entry timestamp on reads. Defaults to True

Manually deleting entries

If you want to manually invalidate an entry, you can calculate the hash of the function call and then pass it the remove method.

key = cache.calculate_hash(len)('teststring')
cache.remove(key)

For more information, see documentation.

Contributing

For information on how to contribute to the project, please check the Contributor's Guide

Contact

mail@radeksprta.eu

incoming+radek-sprta/cachalot@gitlab.com

License

MIT License

Credits

This package was created with Cookiecutter and the python-cookiecutter project template. Inspired by Cashier

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Cachalot-1.5.0.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

Cachalot-1.5.0-py3-none-any.whl (9.0 kB view details)

Uploaded Python 3

File details

Details for the file Cachalot-1.5.0.tar.gz.

File metadata

  • Download URL: Cachalot-1.5.0.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.10

File hashes

Hashes for Cachalot-1.5.0.tar.gz
Algorithm Hash digest
SHA256 2dac05118e746f3eb9aea7de20327610b6619e41cb145cb5bfd9098e7f901c43
MD5 9257c16cb95672fc7cef87333da1e53f
BLAKE2b-256 8d5d1d7d34dc3b60488e9c596013a94c83ce0ad176676b7e3c420716408b02fa

See more details on using hashes here.

File details

Details for the file Cachalot-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: Cachalot-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 9.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.10

File hashes

Hashes for Cachalot-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 426a42d966c624b3524d53aaabf1438373168f78b2f1123283fdb20470a37432
MD5 38dcc5baeafef0d403ad9cdd4a511a9c
BLAKE2b-256 4ddf504ed88cb1f5b03643c61155a04f8027a552d89852990dc3ab9f68ec2d88

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page