Super simple Django application for easily tracking events and submitting them asynchronously to KISSmetrics.
Project description
# django-funkymetrics
django-funkymetrics is a super simple Django application for easily tracking events and submit them asynchronously to KISSmetrics using celery tasks.
## Features
Track app events easily
Submits analytics events asynchronously to KISSmetrics
## Installation
Add the KISSmetrics JS snippet to your project template(s).
Install django-funkymetrics:
pip install django-funkymetrics
Alternatively, download the source code and manually add it to your PYTHONPATH.
Set your KISSmetrics API key:
KISS_API_KEY = ‘<your_api_key>’
Track events and profit.
## Prerequisites
The library assumes that Celery is installed and configured for the Django project. Tasks are automatically created for each record_event.
## Usage
Simply import record_event in your code where you want to track events, and call it as needed:
from funkymetrics.events import record_event
# Without properties record_event(request, ‘downgraded’)
# With properties record_event(request, ‘upgraded plan’, {‘to_plan’: ‘Standard’})
The request object is used to identify the user the event is associated with.
When 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.
## Identifying users
Anonymous users are identified by their KISSmetrics anonymous ID (ie. the value of the km_ai cookie).
Authenticated users are identified by their username.
## Future stuff
Overriding user identifiers
Queue events locally and submit in batches
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