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        "description": "# django-funkymetrics\n\ndjango-funkymetrics is a super simple Django application for easily tracking events and submit them asynchronously to KISSmetrics using celery tasks.\n\n## Features\n\n* Track app events easily\n* Submits analytics events asynchronously to KISSmetrics\n\n## Installation\n\nAdd the KISSmetrics JS snippet to your project template(s).\n\nInstall `django-funkymetrics`:\n\n    pip install django-funkymetrics\n\nAlternatively, download the source code and manually add it to your `PYTHONPATH`.\n\nSet your KISSmetrics API key:\n\n    KISS_API_KEY = '<your_api_key>'\n\nTrack events and profit.\n\n## Prerequisites\n\nThe library assumes that Celery is installed and configured for the Django project. Tasks are automatically created for each `record_event`.\n\n## Usage\n\nSimply import `record_event` in your code where you want to track events, and call it as needed:\n\n    from funkymetrics.events import record_event\n    \n    # Without properties\n    record_event(request, 'downgraded')\n    \n    # With properties\n    record_event(request, 'upgraded plan', {'to_plan': 'Standard'})\n\nThe request object is used to identify the user the event is associated with.\n\nWhen the request isn't available, a user instance can be passed instead. Note that we can't extract the anonymous KISSmetrics identifier from the user object, so it doesn't really make sense to pass anonymous users.\n\n## Identifying users\n\nAnonymous users are identified by their KISSmetrics anonymous ID (ie. the value of the `km_ai` cookie).\n\nAuthenticated users are identified by their username.\n\n## Future stuff\n\n* Overriding user identifiers\n* Queue events locally and submit in batches",
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