Django Pixel Tracker uses Django signals to publish usage data about single object views. You can use this data for internal and external use, such as:
- In-house analytics tracking (Maybe add a dashboard or track content in the Django admin?)
- "Most active" stories/blogposts/etc (This is the SR's use case).
Add pixel_tracker to your installed apps:
INSTALLED_APPS = (
...,
'pixel_tracker',
...
)Add tracking_pixel to your site urls:
urlpatterns = patterns('',
...,
(r'^pixel/', include('pixel_tracker.urls')),
...,
)Add pixel to your templates:
{% load pixel %}
<html>
<head></head>
<body>
{% pixel %}
</body>
</html>To use Django Pixel Tracker, you need create a receiver to subscribe to the pixel_data signal within your app. Example:
from pixel_tracker.models import pixel_data
def simple_receiver(**kwargs):
pixel_data = kwargs['pixel_data']
pprint(pixel_data)
pixel_data.connect(simple_receiver)In this example, it will simply print out the pixel data as a Python Dict, but you could store this data in your database, load it into Redis or send off a Celery task. What you do with it is up to you.
The default data that it collects is:
- Name of object model
- PK of object item
- Full url path of the request
- Timestamp
You could extend that with any data that is available in the context.
- Make available on PyPI
- Tests