flask-heroku-cacheify

Automatic Flask cache configuration on Heroku.

Purpose

Configuring your cache on Heroku can be a time sink. There are lots of different caching addons available on Heroku (Redis, Memcached, etc.), and among those -- lots of competitors.

flask-heroku-cacheify makes your life easy by automatically configuring your Flask application to work with whatever caching addons you've got provisioned on Heroku, allowing you to easily swap out addon providers at will, without any trouble. And, just in case you don't have any suitable Heroku addons available, flask-heroku-cacheify will default back to using local memory for your cache!

Instead of looking through documentation, testing stuff out, etc., flask-heroku-cacheify will just do everything for you :)

Install

To install flask-heroku-cacheify , use pip.

$ pip install flask-heroku-cacheify

NOTE: If you're install flask-heroku-cacheify locally, you'll need to have libmecached-dev installed on your OS (with SASL support).

Next, modify your requirements.txt file in your home directory, and add the following to the bottom of your file:

Flask-Heroku-Cacheify> = 1.2 pylibmc> = 1.2.3

The above will ensure that Heroku pulls in the required C header files (in case you decide to use memcached). This step is required.

Pick an Addon

Heroku has lots of available addons you can use for caching. flask-heroku-cacheify currently works with them all! That means no matter which option you choose, your cache will work out of the box, guaranteed!

Below is a list of the addons you can install to get started, you should have at least one of these activated on your Heroku app -- otherwise, your cache will be in 'local memory' only, and won't be very useful.

NOTE My favorite providers are MemCachier (for memcache), and openredis for redis. Both are equally awesome as cache providers. If you're in need of a stable cache provider for large applications, I'd recommend RedisGreen -- they use dedicated EC2 instances (which greatly improves your server power) and have an excellent interface.

Usage

Using flask-heroku-cacheify is super easy! In your app.py (or wherever you define your Flask application), add the following:

from flask.ext.cacheify import init_cacheify app = Flask ( __name__ ) cache = init_cacheify ( app )

Once you've got your cache global defined, you can use it anywhere in your Flask app:

>>> from app import cache >>> cache . set ( 'hi' , 'there' , 30 ) >>> cache . get ( 'hi' ) 'there'

How does this work? In the background, flask-heroku-cacheify is really just automatically configuring the popular Flask-Cache extension! This means, you can basically skip down to this part of their documentation, and begin using all the methods listed there, without worrying about setting up your caches! Neat, right?

For more information and examples of how to use your cache, don't forget to read the Flask-Cache documentation.

Like This?

Like this software? If you really enjoy flask-heroku-cacheify , you can show your appreciation by:

Sending me some bitcoin, my address is: 17BE6Q6fRgxJutnn8NsQgeKnACFjzWLbQT

Tipping me on gittip.

Either way, thanks! <3

Changelog

v1.2: 04-18-2013

- Adding proper documentation.

v1.1: 04-18-2013

- Adding support for MyRedis. - Adding support for Redis Cloud. - Adding support for Redis To Go. - Adding support for openredis.

v1.0: 04-18-2013

- Fixing bug with RedisGreen support.

v0.9: 04-18-2013

- First *real* release! Supports MemCachier and RedisGreen!

v0.8: 04-18-2013

- Pushing eigth release to PyPI (don't use this still!).

v0.7: 04-18-2013

- Pushing seventh release to PyPI (don't use this still!).

v0.6: 04-18-2013

- Pushing sixth release to PyPI (don't use this still!).

v0.5: 04-18-2013

- Pushing fifth release to PyPI (don't use this still!).

v0.4: 04-18-2013

- Pushing fourth release to PyPI (don't use this still!).

v0.3: 04-18-2013

- Pushing third release to PyPI (don't use this still!).

v0.2: 04-18-2013

- Pushing second release to PyPI (don't use this still!).

v0.1: 04-18-2013

- Pushing first release to PyPI (don't use this yet!).

v0.0: 04-14-2013