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Cache Backend system for python objects

Project description

Python pussy cache
==================

Python pussy cache is a Cache system for python objects.

Cache backends can be in-memory or redis/ You can even use the django
cache framework with Python-pussy-cache.

Given a one of the cache backends and any Python class you have
define, Python-pussy-cache will cache the results of methods you have
define and will also manage the cache invalidation by timestamp or
with methods you have defined.

[![Build Status](https://secure.travis-ci.org/novapost/python-pussycache.png?branch=master)](https://travis-ci.org/novapost/python-pussycache)
[![python-pussycache](https://pypip.in/v/pussycache/badge.png)](https://crate.io/packages/pussycache/)
[![python-pussycache](https://pypip.in/d/pussycache/badge.png)](https://crate.io/packages/pussycache/)


Here is an example to make the thing clearer

```python
import time
from pussycache.proxy import BaseProxy
from pussycache.cache import BaseCacheBackend
# Here is a simple class where some methods need to be cached

class MyClass(object):

def a_long_task(self, delta):
time.sleep(delta)
return delta

def forget_about_time(self):
return None

# We set an in memory cache backend with a TTL of 30 seconds.

cache = BaseCacheBackend(30)

cache_proxy = BaseProxy(MyClass(), cache=cache,
cached_methods=["a_long_task"],
invalidate_methods={"forget_about_time": ["a_long_task"]})

cachedinstance = cache_proxy
# your cachedinstance is now
# ready to use. It will just work like a regular MyClass object

print cachedinstance.a_long_task(10)
# 10 seconds later
10
# if we call the same method a second time:
print cachedinstance.a_long_task(10)
10
# result is returned immediatly because it's in the cache
# but
print cachedinstance.a_long_task(3)
3
# with different parameters, the result is not cached yet.
# if you want to invalidate the cache for this method:
print cachedinstance.forget_about_time()
print cachedinstance.a_long_task(10)
# 10 seconds later
10
```

Of course, If you need direct access to the cache backend, you can
call it directly. Let's say you need to invalidate ALL the cache :

```python

cachedinstance._cache.clear()
```

The same apply if you need to call directly the cache:

```python
cachedinstance.\_cache.set("mykey", "my value", 10)
cachedinstance.\_cache.get("mykey")
"my value"
#and 10 seconds later:
cachedinstance.\_cache.get("mykey")
#the value is gone from the cache
```


Tests
-----

To run test, just install tox with ``pip install tox`` and run

tox

Project details


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1.4

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1.2

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Filename, size & hash SHA256 hash help File type Python version Upload date
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