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        "author": "Thiago F. Pappacena",
        "author_email": "pappacena@gmail.com",
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            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4"
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        "description": "# UReact.me Python client\n\n## Instalation\n\nIt's on pip. Just `pip install ureactme` and it's done.\n\n## Usage\n\n```python\nfrom ureactme import Client\nfrom ureactme.models import Metric, User, Event\n\nc = Client(\"put your token here\")\n\n# Get the list of Metrics sent by users:\nmetrics = c.get_object_list(Metric)\nfor m in metrics:\n  print m.id\n\n# Get the list of Users, and print his ID, the data and the auto-collected data\nusers = c.get_object_list(User)\nfor u in users:\n    print u.id, u.data, u.auto_data\n\n# Get the list of events of a certain type sent by the user in a given day\nu = User(id=\"user_id_test\")\nfor e in u.get_events('redbutton_click', '2016-05-18'):\n    print e.created_at, e.value, e.data\n\n\n# Send an event\nc.send_event(\"suggestion_click\", \"user_123\", 10)\n\n# Get detailed statistics for a given date range, for all users and metrics\nprint list(c.get_statistics(['2015-01-01', '2017-01-01']))\n[{u'avg_value': 15.0,\n  u'count': 1,\n  u'day': u'2016-05-19',\n  u'device_user': u'user1',\n  u'max_value': 15.0,\n  u'metric': u'login',\n  u'min_value': 0.0,\n  u'sum_value': 15.0},\n {u'avg_value': 15.0,\n  u'count': 1,\n  u'day': u'2016-05-19',\n  u'device_user': u'user2',\n  u'max_value': 15.0,\n  u'metric': u'login',\n  u'min_value': 0.0,\n  u'sum_value': 15.0}]\n\n\n# Get detailed user statistics (regardless of the metric)\nprint list(c.get_statistics(['2015-01-01', '2017-01-01'], fields=[\"user\"]))\n[{u'avg_value': 15.0,\n  u'count': 1,\n  u'device_user': u'user1',\n  u'max_value': 15.0,\n  u'min_value': 0.0,\n  u'sum_value': 15.0},\n {u'avg_value': 15.0,\n  u'count': 2,\n  u'device_user': u'user2',\n  u'max_value': 15.0,\n  u'min_value': 0.0,\n  u'sum_value': 30.0}]\n\n# Get detailed metric statistics per day (regardless of the user)\nprint list(c.get_statistics(['2015-01-01', '2017-01-01'], fields=[\"metric\", \"day\"]))\n[{u'avg_value': 15.0,\n  u'count': 3,\n  u'day': u'2016-05-19',\n  u'max_value': 15.0,\n  u'metric': u'login',\n  u'min_value': 0.0,\n  u'sum_value': 45.0},\n {u'avg_value': 13.75,\n  u'count': 4,\n  u'day': u'2016-05-19',\n  u'max_value': 15.0,\n  u'metric': u'suggestion_click',\n  u'min_value': 0.0,\n  u'sum_value': 55.0}]\n\n```",
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