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Decorators for caching

Project Description

cache_it
====

__cache_it__ is a decorator which wraps caching(read/write) routine.
Decorated functions automatically access your memcache and get/set values depending on the situation.
All you have to do is decorate your function by __@cache_it__.


## Basic Usage

```python
>>> from cache_it import init_cache, cache_it

>>> init_cache(['127.0.0.1:11211'])

>>> @cache_it(prefix='PREFIX:')
>>> def cached_function(key):
>>> return 'value'

>>> cached_function('key')
'value' # cached => key:'PREFIX:key' value:'value'
>>> cached_function('key')
'value' # getting from a cache

```

## As a method
You can decorate not only functions but also methods in the same way.

```python
class User(Document)
@cache_it(prefix='PREFIX')
def __getitem__(self, key):
return user[key]

```

## ignore_exception (False by default)
If you want to ignore exceptions occured when accessing memcache, you have to set "ignore_exception" into True.

```python
@cache_it(prefix='PREFIX', ignore_exception=True)
def cached_function(key):
return 'value'

```


## ttl (24*60*60 sec by default)

```python
@cache_it(prefix='PREFIX', ttl=60) # 60sec
def cached_function(key):
return 'value'

```

## encoder/decoder
Encoders are called before setting a value.
Decoders, on the other hand, are called after getting a value.

```python
@cache_it(prefix='PREFIX',
encoder=lambda x: x['foo'],
decoder=lambda x: {'foo': x})
def cached_function(key):
return {'foo': 'bar'}


```

Release History

This version
History Node

0.0.1

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Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
cache_it-0.0.1.macosx-10.9-intel.tar.gz
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Dumb Binary any Jun 17, 2014
cache_it-0.0.1-py2.7.egg
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Egg 2.7 Jun 17, 2014
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Source None Jun 17, 2014

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