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Heap is a unique new service that automatically captures all user actions on your site including UI interaction.
This library helps developers integrate Heap analytics
_ into their Django
projects.
Install using pip::
pip install django-heap
Add heap
to installed apps::
INSTALLED_APPS = (
...
'heap',
)
There is no need to run manage.py syncdb
since django-heap has no database
tables. Add the heap
context processor::
TEMPLATE_CONTEXT_PROCESSORS = (
...
'heap.context_processors.heap',
)
Finally, configure the app ID in settings.py
::
HEAP_APP_ID = '12345...'
To enable Heap tracking, you must include the script tag snippet in your template like so::
<head>
....
{% include 'heap/script.html' %}
</head>
Now you are ready to start tracking.
By default, django-heap tracks your site's superusers as well. You can disable
this by setting the HEAP_TRACK_SUPERUSER
flag to False
. This prevents
the script tag template from rendering when user has is_superuser
property
set to True
.
django-heap can automatically call heap.identify
with data from the
authenticated user. To do that, you need to set the HEAP_AUTO_ID_USER
setting to True
(disabled by default). Only authenticated users will be
identify. The User object's get_full_name
method will be used to derive the
name
parameter for the identify
call, and if User object has an
email
field, the email
parameter will also be passed. There is
currently no handling for the cases where get_full_name
returns the user's
email
address.
Note This implementation is currently experimental, so please do it
manually in the BODY
tag as suggested by Heap documentation if you find it
doesn't work for you.
You can customize django-heap by simply overriding the default template. There is currently no direct support for custom tracking calls, but it is planned for the next release.
Please report bugs to our BitBucket issue tracker
_.
.. _Heap Analytics: https://heapanalytics.com/ .. _issue tracker: https://bitbucket.org/monwara/django-heap/issues
FAQs
Simple Heap analytics integration
We found that django-heap demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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