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144 lines
3.9 KiB
ReStructuredText
144 lines
3.9 KiB
ReStructuredText
==============================
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Installation and configuration
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==============================
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Integration of your analytics service is very simple. There are four
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steps: installing the package, adding it to the list of installed Django
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applications, adding the template tags to your base template, and adding
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the identifiers for the services you use to the project settings.
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#. `Installing the Python package`_
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#. `Installing the Django application`_
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#. `Adding the template tags to the base template`_
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#. `Configuring the application`_
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Installing the Python package
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=============================
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To install django-analytical the ``analytical`` package must be added to
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the Python path. You can install it directly from PyPI using
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``easy_install``::
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$ easy_install django-analytical
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You can also install directly from source. Download either the latest
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stable version from PyPI_ or any release from GitHub_, or use Git to
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get the development code::
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$ git clone https://github.com/jcassee/django-analytical.git
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.. _PyPI: http://pypi.python.org/pypi/django-analytical/
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.. _GitHub: http://github.com/jcassee/django-analytical
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Then install by running the setup script::
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$ cd django-analytical
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$ python setup.py install
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Installing the Django application
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=================================
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After you install django-analytical, add the ``analytical`` Django
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application to the list of installed applications in the ``settings.py``
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file of your project::
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INSTALLED_APPS = [
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...
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'analytical',
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...
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]
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Adding the template tags to the base template
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=============================================
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Because every analytics service has uses own specific Javascript code
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that should be added to the top or bottom of either the head or body
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of every HTML page, the django-analytical provides four general-purpose
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tags that will render the code needed for the services you are using.
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Your base template should look like this::
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{% load analytical %}
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<!DOCTYPE ... >
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<html>
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<head>
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{% analytical_setup_head_top %}
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...
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{% analytical_setup_head_bottom %}
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</head>
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<body>
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{% analytical_setup_body_top %}
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...
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{% analytical_setup_body_bottom %}
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</body>
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</html>
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Configuring the application
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===========================
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Without configuration, the template tags all render the empty string.
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You must enable at least one service, and optionally configure other
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django-analytical features.
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Enabling services
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-----------------
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By default, only configured analytics services are installed by the
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template tags. You can also use the :data:`ANALYTICAL_SERVICES` setting
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to specify the used services explicitly. Services are configured in the
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project ``settings.py`` file. The settings required to enable each
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service are listed here. See the service documentation for details.
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* :doc:`Chartbeat <services/chartbeat>`::
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CHARTBEAT_USER_ID = '12345'
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* :doc:`Clicky <services/clicky>`::
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CLICKY_SITE_ID = '12345678'
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* :doc:`Crazy Egg <services/crazy_egg>`::
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CRAZY_EGG_ACCOUNT_NUMBER = '12345678'
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* :doc:`Google Analytics <services/google_analytics>`::
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GOOGLE_ANALYTICS_PROPERTY_ID = 'UA-1234567-8'
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* :doc:`KISSinsights <services/kiss_insights>`::
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KISS_INSIGHTS_ACCOUNT_NUMBER = '12345'
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KISS_INSIGHTS_SITE_CODE = 'abc'
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* :doc:`KISSmetrics <services/kiss_metrics>`::
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KISS_METRICS_API_KEY = '0123456789abcdef0123456789abcdef01234567'
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* :doc:`Mixpanel <services/mixpanel>`::
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MIXPANEL_TOKEN = '0123456789abcdef0123456789abcdef'
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* :doc:`Optimizely <services/optimizely>`::
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OPTIMIZELY_ACCOUNT_NUMBER = '1234567'
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Configuring behavior
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--------------------
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By default, django-analytical will comment out the service
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initialization code if the client IP address is detected as one from the
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:data:`ANALYTICAL_INTERNAL_IPS` setting, which is set to
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:data:`INTERNAL_IPS` by default.
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Also, if the visitor is a logged in user and the user is accessible in
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the template context, the username is passed to the analytics services
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that support identifying users. See :data:`ANALYTICAL_AUTO_IDENTIFY`.
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