Skip to main content

Versatile persisent file cache.

Project description

Build Status PyPI Version Python Version MIT License


$ pip install bucketcache

Quick Overview

In one sentence, Bucket is a container object with optional lifetime backed by configurable serialisation methods that can also act as a function or method decorator.

Before everything is explained in detail, here’s a quick look at the functionality:


from bucketcache import Bucket

bucket = Bucket('cache', hours=1)

bucket[any_object] = anything_serializable_by_backend  # (Pickle is the default)


class SomeService(object):
    def __init__(self, username, password):
        self.username = username
        self.password = password

    @bucket(method=True, nocache='skip_cache')
    def expensive_method(self, a, b, c, skip_cache=False):
        print('Method called.')

    def expensive_method(callinfo):
        print('Cache used.')

some_service = SomeService()
some_service.expensive_method(1, 2, 3)
some_service.expensive_method(1, 2, 3)
some_service.expensive_method(1, 2, 3, skip_cache=True)
Method called.
Cache used.
Method called

For in-depth information, visit the documentation!

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

BucketCache-0.12.1.tar.gz (30.1 kB view hashes)

Uploaded Source

Built Distribution

BucketCache-0.12.1-py2.py3-none-any.whl (19.3 kB view hashes)

Uploaded Python 2 Python 3

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