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Minimal persistent memoization cache

Project description

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# Cachalot
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`


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

git clone
cd cachalot
python3 install

## Usage
from cachalot import Cache

def expensive_function():
return expensive_calculation()

### Advanced usage
from cachalot import Cache

@Cache(path='cache.json', timeout=3600, size=5000)
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 86400 (1 day).
`size`: Maximum number of keys cached. Defaults to 10000.

For more information, see [documentation][documentation].

- Test suite
- Optionally retry if blank data is returned

## Contributing
For information on how to contribute to the project, please check the [Contributor's Guide][contributing]

## Contact


## License
MIT License

## Credits
This package was created with [Cookiecutter][cookiecutter] and the [python-cookiecutter][python-cookiecutter] project template. Inspired by [Cashier][cachier]


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