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    "info": {
        "author": "Nahuel Chaves",
        "author_email": "nahuel.chaves@valleyworks.us",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
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        "description": "# Valleydata\n\n# Getting Started\n\nFirst you need to install a few necessary dependencies.\n\n* VirtualBox (https://www.virtualbox.org/).\n* Vagrant (https://www.vagrantup.com/).\n* Install Guest Additions plugin for Vagrant (`vagrant plugin install vagrant-vbguest`)\n\nIf you already use Vagrant, please make sure you update your box before starting it, do it with `vagrant box update`.\n\nThen you can clone this project and run `vagrant up` at the root folder. After this finishes, `vagrant ssh` to get inside the vm. Note: if you already use vagrant, it wont hurt running `vagrant box update` so we use the latest version available.\n\nPackages included in the vm:\n\n* Python 3.5.2 with virtualenv.\n* Latest Nodejs installed with nvm.\n\n# Usage\n\n## MySql\n\nYou can connect using cli or your favorite client using the following config:\n\n* Host: localhost\n* Port: 33061\n* User: root\n* Password: root\n\n##\u00a0Python\n\nRun `vagrant ssh` to get inside the VM, then you will need to make a new virtualenv and install the dependencies.\n\nAfter that you should be able to run `python test.py`\n\n\n# Testing\nRun `python test.py`\n\n\n# Usage\n\n## valleydata class\n\n```\n    valleydata = valleydata(date_list=<list_of_dates>)\n```\n\nNote that `date_list` is a required parameter\n\n### Methods\n\n- **get_top_hours**: Returns a list of tuples ((str)hour, (int)occurrences) representing most active hours. For example:\n```\n    [('03 PM', 5), ('09 PM', 5), ('01 PM', 4)]\n```\n\n- **get_top_weekdays**: Returns a list of tuples ((str)weekday, (int)ocurrences) representing most active weekdays. For example:\n```\n    [('Saturday', 12), ('Sunday', 9), ('Tuesday', 7), ('Friday', 7), ('Monday', 6)]\n```\n\n- **get_ip_info**: Returns a dict with info about a valid ip address (uses `ipinfo.io` external api). For example:\n```\n    {\n        'loc': '45.5186,-73.5545',\n        'city': 'Montr\\xe9al',\n        'country': 'CA',\n        'region': 'Quebec',\n        'hostname': '198-48-208-217.cpe.pppoe.ca', \n        'ip': u'198.48.208.217', \n        'org': u'AS5645 TekSavvy Solutions, Inc.',\n        'postal': u'H2L'\n    }\n```\n\n\n## TextAnalyzer class\n\n```\n    text_analyzer = TextAnalyzer(texts=<list_of_dicts>)\n```\n\nNote that `texts` is a required parameter and should have the following structure:\n\n```\n    {\n        'text': \"string\",\n        'status': \"string\" (texts will be grouped by this string)\n    }\n```\n\n### Methods\n\n- **most_used_words (group=string)**: Returns a list of tuples ((str)word, (int)occurrences). For example:\n```\n    [(u'magni', 3), (u'praesentium', 3), (u'amet', 3), (u'quae', 2), (u'non', 2), (u'molestias', 2)]\n```\n\n- **get_group**: Returns a list of strings that belongs to the given group.\n\n- **get_ranking**: Returns a dict AND a int. The dict contains points for each group and the int indicates the total score. Currently the score goes up if the group is called `approved`, otherwise it will go down.\n",
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