Skip to main content

Simple objects/methods results cacher with optional persistent cacheing.

Project description

Simple object cacher decorator. Makes cache for results of hard functions or methods. For example you have remote RESTful api with a lot of dictionaries. You may cache it:

>>> from urllib import urlopen
>>> from object_cacher import ObjectCacher
>>> @ObjectCacher(timeout=60)
... def get_api():
...     print "This real call"
...     return urlopen('https://api.github.com/').read()
...
>>> get_api()
This real call
'{"current_user_url":"https://api.github.com/user", ...'
>>> get_api()
'{"current_user_url":"https://api.github.com/user", ...'

As result you made http request only once.

For methods you may use it like this:

>>> from urllib import urlopen
>>> from object_cacher import ObjectCacher
>>> class API(object):
...     @ObjectCacher(timeout=60, ignore_self=True)
...     def get_methods(self):
...         print "Real call"
...         return urlopen('https://api.github.com/').read()
...
>>> a = API()
>>> a.get_methods()
Real call
'{"current_user_url":"https://api.github.com/user", ...'
>>> b = API()
>>> b.get_methods()
'{"current_user_url":"https://api.github.com/user", ...'

If ignore_self parameter is set, cache will be shared by all instances. Otherwise cache for instances will be split.

Also you may use persistent cache. The “ObjectPersistentCacher” class-decorator makes file-based pickle-serialized cache storage. When you want to keep cache after rerun you must determine cache id:

>>> from urllib import urlopen
>>> from object_cacher import ObjectCacher
>>> class API(object):
...     @ObjectPersistentCacher(timeout=60, ignore_self=True, oid='com.github.api.listofmethods')
...     def get_methods(self):
...         print "Real call"
...         return urlopen('https://api.github.com/').read()
...
>>> a = API()
>>> a.get_methods()
Real call
'{"current_user_url":"https://api.github.com/user", ...'
>>> b = API()
>>> b.get_methods()
'{"current_user_url":"https://api.github.com/user", ...'

That is keep cache after rerun.

You may change cache dir for ObjectPersistentCacher via changing ‘CACHE_DIR’ class-property.

>>> ObjectPersistentCacher.CACHE_DIR = '/var/tmp/my_cache'

Installation

You may install from pypi

pip install SimpleAES

or manual

python setup.py install

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

object_cacher-0.1.5.tar.gz (3.3 kB view details)

Uploaded Source

File details

Details for the file object_cacher-0.1.5.tar.gz.

File metadata

File hashes

Hashes for object_cacher-0.1.5.tar.gz
Algorithm Hash digest
SHA256 6862c5b5240e56135e53d8836eceb4f5efca191ad39301c63671eefb3c2a4bd0
MD5 027401e8de40d4c4567f082960682b50
BLAKE2b-256 1d08bed05e83e389a4af1960c2c27d6e19211e051e0f2babc1f5944010c13e7e

See more details on using hashes here.

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