pysmartcache

PySmartCache is a memoizer implementation with lasers.

Idea is quite simple: you just need to decorate your function/method with @cache(), and pysmartcache will take care of the rest (caching based on arguments, cache invalidation, helpers for cache purge, cache refresh and cache invalidation, and so on).

For instance, change this:

def calculate_universe_mass(some_parameter, another_parameter, whatever):
    return 42

to this:

from pysmartcache import cache
@cache()
def calculate_universe_mass(some_parameter, another_parameter, whatever):
    return 42

Seriously. That's it. =P

For more dense details please refer to the docs.

Development:

Run linter:

pip install -r requirements_dev.txt
isort -rc .
tox -e lint

Run tests via tox:

pip install -r requirements_dev.txt
tox

Release a new major/minor/patch version:

pip install -r requirements_dev.txt
bump2version <PART>  # <PART> can be either 'patch' or 'minor' or 'major'

Upload to PyPI:

pip install -r requirements_dev.txt
python setup.py sdist bdist_wheel
python -m twine upload dist/*

Contributing:

Please open issues if you see one, or create a pull request when possible. In case of a pull request, please consider the following:

• Respect the line length (132 characters)
• Write automated tests
• Run tox locally so you can see if everything is green (including linter and other python versions)