thundercache 0.1.2

A distributed redis cache library, which solves the Thundering Herd problem.

========
Overview
========



A distributed redis cache library, which solves the Thundering Herd problem.

* Free software: BSD license

Installation
============

::

pip install thundercache

Documentation
=============

https://python-thundercache.readthedocs.io/

Development
===========

To run the all tests run::

tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
:widths: 10 90
:stub-columns: 1

- - Windows
- ::

set PYTEST_ADDOPTS=--cov-append
tox

- - Other
- ::

PYTEST_ADDOPTS=--cov-append tox

Usage
=====

.. code-block:: python

# Distributed Lock
from thundercache import LockFactory, retry_command
from redis.sentinel import Sentinel

sentinel = Sentinel()
redis_sentinel_master_instance = retry_command(sentinel.master_for, "your_sentinel_service_name", socket_timeout=20)

locks = LockFactory(expires=720, timeout=10, redis=redis_sentinel_master_instance)

with locks('my_lock'):
# do stuff with a distributed redis lock across different processes and networks
# pretty cool right!
pass


# Local Redis Cache
from thundercache import SmartLocalRedisCacheFactory, BaseCacheMixin)
import time

lcached = SmartLocalRedisCacheFactory()


class MyClass(BaseCacheMixin):

@lcached("method", max_age=10, critical=2)
def method(self, n):
time.sleep(n)
return n*n

@lcached("somefunc', max_age=10, critical=2)
def somefunc(n):
time.sleep(n)
return n*n


mc = MyClass()
print mc.method(3)
# prints "9" after three seconds
print mc.method(3)
# prints "9" instantly

print somefunc(2)
# prints "4" after two seconds
print somefunc(2)
# prints 4



# Distributed Redis Cache
from thundercache import SmartRedisCacheFactory, retry_command
from redis.sentinel import Sentinel

sentinel = Sentinel()
cached = SmartRedisCacheFactory(sentinel, "your_sentinel_service_name")
# you can now use the @cached decorator in the same way you use @lcached



# Per process cache
from thundercache import BaseCache

class MyClass(BaseCacheMixin):
@BaseCache("mymethod", max_age=10)
def mymethod(self, n):
time.sleep(n)
return n*n

@BaseCache("otherfunc', max_age=10)
def otherfunc(n):
time.sleep(n)
return n*n


# You can also chain these decorators
@BaseCache('x', 10)
@cached('y', 60)
def funct_or_method(*args, **kwargs):
return None

::


Changelog
=========

0.1.2 (2017-02-23)
-----------------------------------------

* First release on PyPI.