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Versatile persisent file cache.

Project description

Build Status PyPI Version Python Version MIT License

Installation

$ pip install bucketcache

Automatic Generation

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:

Container:

from bucketcache import Bucket

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

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

Decorator:

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.')

    @expensive_method.callback
    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!

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