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    "info": {
        "author": "Dennis Mellican",
        "author_email": "dennis@mellican.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
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        "description": "# SlackMQ\n\nSlack can do the heavy lifting of a simple Message Queue. When a message is received,\nit is \"locked\" while being processed. This keeps other worker bots from processing the\nmessage simultaneously.\n\nSlackMQ is suited to high latency message queuing applications due to rate limiting.\nFor a minimalist architecture, leverage the power of SlackMQ and a Slack bot becomes \nhighly available out of the box.\n\nTo install:\n```\npip install slackmq\n```\n\nThe Slack API allows pins to be added once per message per channel. Also, reactions\nand stars can be added to a message once per bot. For example, a person or bot cannot\npin a message that has already been pinned. A user or bot cannot give a post a thumbs \nup twice. In the UI, if you try, the action is revoked. In the API, an exception is \nthrown.\n\n![SlackMQ workflow](https://github.com/meltaxa/slackmq/blob/master/docs/slackmq-workflow.png?raw=true)\n\nSlack can be made to behave like a basic Message Queuing system by using pins to \nacknowledge (lock) and unacknowledge a message, as demonstrated in the diagram above. \nUsing pins is ideal as this allows \"unlimited\" bot workers. The Slack RTM API also \nallows a bot to connect multiple times. With this account concurrency, this method \nlimits the bot to 16 concurrent workers. You may find using a combination of pins, \nstars and reactions more reliable for low latency messages.\n\nTo use SlackMQ, wrap the post acknowledgement around a bot action. Below is an example\nof how a bot (using the slackbot library) uses SlackMQ to pull from the \"queue\", i.e, \nthe channel.\n\n```python\nfrom slackmq import slackmq\nfrom slackbot.bot import listen_to\nimport socket\n\nAPI_TOKEN = 'SLACK-BOT-API-TOKEN'\n\n\n@listen_to('hello')\ndef helloworld(message):\n    post = slackmq(API_TOKEN,\n                   message.body['channel'], \n                   message.body['ts'])\n    if post.ack():\n        message.send('Hello from {}.'.format(socket.gethostname()))\n        post.unack()\n```\n\n# Implementation Examples\n\nTroupe, which is a group of Slack bots working together to control and operate a smart \nhome implements SlackMQ. \n- See Troupe's source code for an insight into SlackMQ usage: https://github.com/meltaxa/troupe.\n\nAnother implementation of SlackMQ is to perform DevOps manoeuvres, such as\nRemote Management, Continuous Delivery, Canary Deployments and Rolling Updates. In the\nTroupe example, a Federation of Slack bots can self-update with zero downtime using the\nSlackMQ library. Watch The Travelling DevOps Troupe in action:\n\n[![The Travelling DevOps Troupe](http://img.youtube.com/vi/7TuYA2jt-Vc/0.jpg)](https://www.youtube.com/watch?v=7TuYA2jt-Vc \"The Travelling DevOps Troupe\")\n\n\n",
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        "license": "MIT",
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        "name": "slackmq",
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        "summary": "A Slack Message Queue system",
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