Django app used to pull daily Google Analytics data into your django database.
Project description
django-ga-puller
================
Django app used to pull daily Google Analytics data into your django database. It provides abstract models which you should
inherit from in your app.
To Use
------
Add the app to your settings.py file:
INSTALLED_APPS = [...
'ga_puller',
...]
In your app,
Create models that inherit from the abstract classes provided. Here is a sample of a basic implementation:
from ga_puller.models import AnalyticsPage, DailyEventTrackingBase, DailyPageTrackingBase
class Page(AnalyticsPage):
def __unicode__(self):
return "%s" % self.page_path
class DailyEventData(DailyEventTrackingBase):
page = models.ForeignKey('Page')
@classmethod
def get_page_class(cls):
return Page
class DailyPageTrackingData(DailyPageTrackingBase):
page = models.ForeignKey('Page')
@classmethod
def get_page_class(cls):
return Page
Add a list named analytics_import_models defining the data models to the __init__.py of your app module:
from models import DailyPageTrackingData, DailyEventData
analytics_import_models = [DailyPageTrackingData, DailyEventData]
Create a 'private' python package at the root level of your django project (at the same level as the manage.py file).
The application requires a service account for authentication with Google. These can be configured by logging into your account at https://cloud.google.com.
Copy your Google API private key file to the private directory (name it privatekey.pem).
Create a python file named 'accounts.py' in the private directory with the following code (update with your account data):
service_account = 'xxxxxx@developer.gserviceaccount.com'
view_ids = {'app_name': '#########', ...}
This package uses [Google APIs Client Library for Python](https://developers.google.com/api-client-library/python/) which should automatically be installed through setup.
Release Notes:
0.1.0: Initial Release
0.1.1: Updated to support importing from separate views in google analytics.
================
Django app used to pull daily Google Analytics data into your django database. It provides abstract models which you should
inherit from in your app.
To Use
------
Add the app to your settings.py file:
INSTALLED_APPS = [...
'ga_puller',
...]
In your app,
Create models that inherit from the abstract classes provided. Here is a sample of a basic implementation:
from ga_puller.models import AnalyticsPage, DailyEventTrackingBase, DailyPageTrackingBase
class Page(AnalyticsPage):
def __unicode__(self):
return "%s" % self.page_path
class DailyEventData(DailyEventTrackingBase):
page = models.ForeignKey('Page')
@classmethod
def get_page_class(cls):
return Page
class DailyPageTrackingData(DailyPageTrackingBase):
page = models.ForeignKey('Page')
@classmethod
def get_page_class(cls):
return Page
Add a list named analytics_import_models defining the data models to the __init__.py of your app module:
from models import DailyPageTrackingData, DailyEventData
analytics_import_models = [DailyPageTrackingData, DailyEventData]
Create a 'private' python package at the root level of your django project (at the same level as the manage.py file).
The application requires a service account for authentication with Google. These can be configured by logging into your account at https://cloud.google.com.
Copy your Google API private key file to the private directory (name it privatekey.pem).
Create a python file named 'accounts.py' in the private directory with the following code (update with your account data):
service_account = 'xxxxxx@developer.gserviceaccount.com'
view_ids = {'app_name': '#########', ...}
This package uses [Google APIs Client Library for Python](https://developers.google.com/api-client-library/python/) which should automatically be installed through setup.
Release Notes:
0.1.0: Initial Release
0.1.1: Updated to support importing from separate views in google analytics.
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