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        "author": "Thierry Schellenbach",
        "author_email": "thierryschellenbach@gmail.com",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Framework :: Django",
            "Intended Audience :: Developers",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Stream Framework (previously Feedly)\n------------------------------------\n\n[![Build Status](https://travis-ci.org/tschellenbach/Feedly.png?branch=master)](https://travis-ci.org/tschellenbach/Feedly)\n\n**Note**\n\nThis project was previously named Feedly. As requested by feedly.com we have now renamed the project to Stream Framework.\n\n\n## What can you build? ##\n\nFeedly allows you to build newsfeed and notification systems using Cassandra and/or Redis.\nExamples of what you can build are the Facebook newsfeed, your Twitter stream or your Pinterest following page.\nWe've built Feedly for [Fashiolista] [fashiolista] where it powers the [flat feed] [fashiolista_flat], [aggregated feed] [fashiolista_aggregated] and the [notification system] [fashiolista_notification].\n(Feeds are also commonly called: Activity Streams, activity feeds, news streams.)\n\n[fashiolista]: http://www.fashiolista.com/\n[stream]: http://getstream.io/\n[stream_js]: https://github.com/tschellenbach/stream-js\n[stream_python]: https://github.com/tschellenbach/stream-python\n[stream_php]: https://github.com/tbarbugli/stream-php\n[stream_ruby]: https://github.com/tbarbugli/stream-ruby\n[fashiolista_flat]: http://www.fashiolista.com/feed/?feed_type=F\n[fashiolista_aggregated]: http://www.fashiolista.com/feed/?feed_type=A\n[fashiolista_notification]: http://www.fashiolista.com/my_style/notification/\n[example_app_link]: https://github.com/tbarbugli/feedly_pin/\n\nTo quickly make you acquainted with Feedly, we've created a Pinterest like example application, you can find it [here] [example_app_link]\n\n## GetStream.io ##\n\nStream Framework's authors also offer a Saas solution for building feed systems at [getstream.io] [stream]\nThe hosted service is highly optimized and allows you start building your application immediatly.\nIt saves you the hastle of maintaining Cassandra, Redis, Faye, RabbitMQ and Celery workers.\nClients are available for [Node] [stream_js], [Ruby] [stream_ruby], [Python] [stream_python] and [PHP] [stream_php]\n\n## Consultancy ##\n\nFor Stream Framework and GetStream.io consultancy please contact thierry at getstream.io\n\n\n**Authors**\n\n * Thierry Schellenbach (thierry at getstream.io)\n * Tommaso Barbugli (tommaso at getstream.io)\n * Guyon Mor\u00e9e\n\n\n**Resources**\n\n * [Documentation] \n * [Bug Tracker] \n * [Code] \n * [Mailing List] \n * [IRC]  (irc.freenode.net, #feedly-python) \n * [Travis CI] \n \n\n**Tutorials**\n\n * [Pinterest style feed example app] [mellowmorning_example]\n \n\n[mellowmorning_example]: http://www.mellowmorning.com/2013/10/18/scalable-pinterest-tutorial-feedly-redis/\n[Documentation]: https://feedly.readthedocs.org/\n[Bug Tracker]: http://github.com/tschellenbach/Feedly/issues\n[Code]: http://github.com/tschellenbach/Feedly\n[Mailing List]: https://groups.google.com/group/feedly-python\n[IRC]: irc://irc.freenode.net/feedly-python\n[Travis CI]: http://travis-ci.org/tschellenbach/Stream-Framework/\n\n\n## Using Stream Framework ##\n\nThis quick example will show you how to publish a Pin to all your followers. So lets create\nan activity for the item you just pinned.\n\n```python\ndef create_activity(pin):\n    from feedly.activity import Activity\n    activity = Activity(\n        pin.user_id,\n        PinVerb,\n        pin.id,\n        pin.influencer_id,\n        time=make_naive(pin.created_at, pytz.utc),\n        extra_context=dict(item_id=pin.item_id)\n    )\n    return activity\n```\n\nNext up we want to start publishing this activity on several feeds.\nFirst of we want to insert it into your personal feed, and secondly into the feeds of all your followers.\nLets start first by defining these feeds.\n\n```python\n# setting up the feeds\n\nclass PinFeed(RedisFeed):\n    key_format = 'feed:normal:%(user_id)s'\n\nclass UserPinFeed(PinFeed):\n    key_format = 'feed:user:%(user_id)s'\n```\n\nWriting to these feeds is very simple. For instance to write to the feed of user 13 one would do\n\n```python\n\nfeed = UserPinFeed(13)\nfeed.add(activity)\n```\n\nBut we don't want to publish to just one users feed. We want to publish to the feeds of all users which follow you.\nThis action is called a fanout and is abstracted away in the Feedly manager class.\nWe need to subclass the Feedly class and tell it how we can figure out which user follow us.\n\n```python\n\nclass PinFeedly(Feedly):\n    feed_classes = dict(\n        normal=PinFeed,\n    )\n    user_feed_class = UserPinFeed\n    \n    def add_pin(self, pin):\n        activity = pin.create_activity()\n        # add user activity adds it to the user feed, and starts the fanout\n        self.add_user_activity(pin.user_id, activity)\n\n    def get_user_follower_ids(self, user_id):\n        ids = Follow.objects.filter(target=user_id).values_list('user_id', flat=True)\n        return {FanoutPriority.HIGH:ids}\n    \nfeedly = PinFeedly()\n```\n\nNow that the feedly class is setup broadcasting a pin becomes as easy as\n\n```python\nfeedly.add_pin(pin)\n```\n\nCalling this method wil insert the pin into your personal feed and into all the feeds of users which follow you.\nIt does so by spawning many small tasks via Celery. In Django (or any other framework) you can now show the users feed.\n\n```python\n# django example\n\n@login_required\ndef feed(request):\n    '''\n    Items pinned by the people you follow\n    '''\n    context = RequestContext(request)\n    feed = feedly.get_feeds(request.user.id)['normal']\n    activities = list(feed[:25])\n    context['activities'] = activities\n    response = render_to_response('core/feed.html', context)\n    return response\n\n```\n\nThis example only briefly covered how Stream Framework works.\nThe full explanation can be found on read the docs.\n\n\n## Features ##\n\nStream Framework uses celery and Redis/Cassandra to build a system with heavy writes and extremely light reads.\nIt features:\n\n  - Asynchronous tasks (All the heavy lifting happens in the background, your users don't wait for it)\n  - Reusable components (You will need to make tradeoffs based on your use cases, Stream Framework doesnt get in your way)\n  - Full Cassandra and Redis support\n  - The Cassandra storage uses the new CQL3 and Python-Driver packages, which give you access to the latest Cassandra features.\n  - Built for the extremely performant Cassandra 2.0\n\n\n## Background Articles ##\n\nA lot has been written about the best approaches to building feed based systems.\nHere's a collection on some of the talks:\n\n[Twitter 2013] [twitter_2013]\nRedis based, database fallback, very similar to Fashiolista's old approach.\n\n[twitter_2013]: http://highscalability.com/blog/2013/7/8/the-architecture-twitter-uses-to-deal-with-150m-active-users.html\n\n[Etsy feed scaling] [etsy]\n(Gearman, separate scoring and aggregation steps, rollups - aggregation part two)\n\n[etsy]: http://www.slideshare.net/danmckinley/etsy-activity-feeds-architecture/\n\n\n[facebook]: http://www.infoq.com/presentations/Facebook-Software-Stack\n[Facebook history] [facebook]\n\n\n[djproject]: http://justquick.github.com/django-activity-stream/\n[Django project with good naming conventions] [djproject]\n\n\n[activity_stream]: http://activitystrea.ms/specs/atom/1.0/\n[Activity stream specification] [activity_stream]\n\n[Quora post on best practises] [quora]\n\n[quora]: http://www.quora.com/What-are-best-practices-for-building-something-like-a-News-Feed?q=news+feeds\n\n[Quora scaling a social network feed] [quora2]\n\n[quora2]: http://www.quora.com/What-are-the-scaling-issues-to-keep-in-mind-while-developing-a-social-network-feed\n\n[Redis ruby example] [redisruby]\n\n[redisruby]: http://blog.waxman.me/how-to-build-a-fast-news-feed-in-redis\n\n[FriendFeed approach] [friendfeed]\n\n[friendfeed]: http://backchannel.org/blog/friendfeed-schemaless-mysql\n\n[Thoonk setup] [thoonk]\n\n[thoonk]: http://blog.thoonk.com/\n\n[Yahoo Research Paper] [yahoo]\n\n[yahoo]: http://research.yahoo.com/files/sigmod278-silberstein.pdf\n\n[Twitter\u2019s approach] [twitter]\n\n[twitter]: http://www.slideshare.net/nkallen/q-con-3770885\n\n[Cassandra at Instagram] [instagram]\n\n[instagram]: http://planetcassandra.org/blog/post/instagram-making-the-switch-to-cassandra-from-redis-75-instasavings",
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