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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

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()

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

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Evan Widloski

💻

Saša Tomić

💻

This project follows the all-contributors specification. Contributions of any kind welcome!