Adds new columns to the table to store the relevant organisation, but also
Adds new columns to the table to store the relevant organisation, but also
allows for the metric/value to be stored so that it can eventually contain
different metrics than the default

file:a/README.rst -> file:b/README.rst
ckanext-ga-report ckanext-ga-report
================= =================
   
**Status:** Development **Status:** Development
   
**CKAN Version:** 1.7.1+ **CKAN Version:** 1.7.1+
   
   
Overview Overview
-------- --------
   
For creating detailed reports of CKAN analytics, including totals per group. For creating detailed reports of CKAN analytics, including totals per group.
   
Whereas ckanext-googleanalytics focusses on providing page view stats a recent period and for all time (aimed at end users), ckanext-ga-report is more interested in building regular periodic reports (more for site managers to monitor). Whereas ckanext-googleanalytics focusses on providing page view stats a recent period and for all time (aimed at end users), ckanext-ga-report is more interested in building regular periodic reports (more for site managers to monitor).
   
Contents of this extension: Contents of this extension:
   
* Use the CLI tool to download Google Analytics data for each time period into this extension's database tables * Use the CLI tool to download Google Analytics data for each time period into this extension's database tables
   
* Users can view the data as web page reports * Users can view the data as web page reports
   
   
Installation Installation
------------ ------------
   
1. Activate you CKAN python environment and install this extension's software:: 1. Activate you CKAN python environment and install this extension's software::
   
$ pyenv/bin/activate $ pyenv/bin/activate
$ pip install -e git+https://github.com/okfn/ckanext-ga-report.git#egg=ckanext-ga-report $ pip install -e git+https://github.com/okfn/ckanext-ga-report.git#egg=ckanext-ga-report
   
2. Ensure you development.ini (or similar) contains the info about your Google Analytics account and configuration:: 2. Ensure you development.ini (or similar) contains the info about your Google Analytics account and configuration::
   
googleanalytics.id = UA-1010101-1 googleanalytics.id = UA-1010101-1
googleanalytics.account = Account name (i.e. data.gov.uk, see top level item at https://www.google.com/analytics) googleanalytics.account = Account name (i.e. data.gov.uk, see top level item at https://www.google.com/analytics)
googleanalytics.username = googleaccount@gmail.com  
googleanalytics.password = googlepassword  
ga-report.period = monthly ga-report.period = monthly
   
Note that your password will be readable by system administrators on your server. Rather than use sensitive account details, it is suggested you give access to the GA account to a new Google account that you create just for this purpose. Note that your credentials will be readable by system administrators on your server. Rather than use sensitive account details, it is suggested you give access to the GA account to a new Google account that you create just for this purpose.
   
3. Set up this extension's database tables using a paster command. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file):: 3. Set up this extension's database tables using a paster command. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file)::
   
$ paster initdb --config=../ckan/development.ini $ paster initdb --config=../ckan/development.ini
   
4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``:: 4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``::
   
ckan.plugins = ga-report ckan.plugins = ga-report
   
   
Authorization Authorization
-------------- --------------
   
Before you can access the data, you need to set up the OAUTH details which you can do by following the `instructions <https://developers.google.com/analytics/resources/tutorials/hello-analytics-api>`_ the outcome of which will be a file called credentials.json which should look like credentials.json.template with the relevant fields completed. These steps are below for convenience: Before you can access the data, you need to set up the OAUTH details which you can do by following the `instructions <https://developers.google.com/analytics/resources/tutorials/hello-analytics-api>`_ the outcome of which will be a file called credentials.json which should look like credentials.json.template with the relevant fields completed. These steps are below for convenience:
   
1. Visit the `Google APIs Console <https://code.google.com/apis/console>`_ 1. Visit the `Google APIs Console <https://code.google.com/apis/console>`_
   
2. Sign-in and create a project or use an existing project. 2. Sign-in and create a project or use an existing project.
   
3. In the `Services pane <https://code.google.com/apis/console#:services>`_ , activate Analytics API for your project. If prompted, read and accept the terms of service. 3. In the `Services pane <https://code.google.com/apis/console#:services>`_ , activate Analytics API for your project. If prompted, read and accept the terms of service.
   
4. Go to the `API Access pane <https://code.google.com/apis/console/#:access>`_ 4. Go to the `API Access pane <https://code.google.com/apis/console/#:access>`_
   
5. Click Create an OAuth 2.0 client ID.... 5. Click Create an OAuth 2.0 client ID....
   
6. Fill out the Branding Information fields and click Next. 6. Fill out the Branding Information fields and click Next.
   
7. In Client ID Settings, set Application type to Installed application. 7. In Client ID Settings, set Application type to Installed application.
   
8. Click Create client ID 8. Click Create client ID
   
9. The details you need below are Client ID, Client secret, and Redirect URIs 9. The details you need below are Client ID, Client secret, and Redirect URIs
   
   
Once you have set up your credentials.json file you can generate an oauth token file by using the Once you have set up your credentials.json file you can generate an oauth token file by using the
following command, which will store your oauth token in a file called token.dat once you have finished following command, which will store your oauth token in a file called token.dat once you have finished
giving permission in the browser:: giving permission in the browser::
   
$ paster getauthtoken --config=../ckan/development.ini $ paster getauthtoken --config=../ckan/development.ini
   
   
Tutorial Tutorial
-------- --------
   
Download some GA data and store it in CKAN's db. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file) and specifying the name of your auth file (token.dat by default) from the previous step:: Download some GA data and store it in CKAN's db. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file) and specifying the name of your auth file (token.dat by default) from the previous step::
   
$ paster loadanalytics token.dat latest --config=../ckan/development.ini $ paster loadanalytics token.dat latest --config=../ckan/development.ini
   
The value after the token file is how much data you want to retrieve, this can be The value after the token file is how much data you want to retrieve, this can be
   
* **all** - data for all time (since 2010) * **all** - data for all time (since 2010)
   
* **latest** - (default) just the 'latest' data * **latest** - (default) just the 'latest' data
   
* **YYYY-MM-DD** - just data for all time periods going back to (and including) this date * **YYYY-MM-DD** - just data for all time periods going back to (and including) this date
   
   
   
Software Licence Software Licence
================ ================
   
This software is developed by Cabinet Office. It is Crown Copyright and opened up under the Open Government Licence (OGL) (which is compatible with Creative Commons Attibution License). This software is developed by Cabinet Office. It is Crown Copyright and opened up under the Open Government Licence (OGL) (which is compatible with Creative Commons Attibution License).
   
OGL terms: http://www.nationalarchives.gov.uk/doc/open-government-licence/ OGL terms: http://www.nationalarchives.gov.uk/doc/open-government-licence/
   
import logging import logging
import datetime import datetime
   
from pylons import config from pylons import config
   
import ga_model import ga_model
   
#from ga_client import GA #from ga_client import GA
   
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
FORMAT_MONTH = '%Y-%m' FORMAT_MONTH = '%Y-%m'
   
class DownloadAnalytics(object): class DownloadAnalytics(object):
'''Downloads and stores analytics info''' '''Downloads and stores analytics info'''
   
def __init__(self, service=None, profile_id=None): def __init__(self, service=None, profile_id=None):
self.period = config['ga-report.period'] self.period = config['ga-report.period']
self.service = service self.service = service
self.profile_id = profile_id self.profile_id = profile_id
   
   
def all_(self): def all_(self):
self.since_date(datetime.datetime(2010, 1, 1)) self.since_date(datetime.datetime(2010, 1, 1))
   
def latest(self): def latest(self):
if self.period == 'monthly': if self.period == 'monthly':
# from first of this month to today # from first of this month to today
now = datetime.datetime.now() now = datetime.datetime.now()
first_of_this_month = datetime.datetime(now.year, now.month, 1) first_of_this_month = datetime.datetime(now.year, now.month, 1)
periods = ((now.strftime(FORMAT_MONTH), periods = ((now.strftime(FORMAT_MONTH),
now.day, now.day,
first_of_this_month, now),) first_of_this_month, now),)
else: else:
raise NotImplementedError raise NotImplementedError
self.download_and_store(periods) self.download_and_store(periods)
   
   
def since_date(self, since_date): def since_date(self, since_date):
assert isinstance(since_date, datetime.datetime) assert isinstance(since_date, datetime.datetime)
periods = [] # (period_name, period_complete_day, start_date, end_date) periods = [] # (period_name, period_complete_day, start_date, end_date)
if self.period == 'monthly': if self.period == 'monthly':
first_of_the_months_until_now = [] first_of_the_months_until_now = []
year = since_date.year year = since_date.year
month = since_date.month month = since_date.month
now = datetime.datetime.now() now = datetime.datetime.now()
first_of_this_month = datetime.datetime(now.year, now.month, 1) first_of_this_month = datetime.datetime(now.year, now.month, 1)
while True: while True:
first_of_the_month = datetime.datetime(year, month, 1) first_of_the_month = datetime.datetime(year, month, 1)
if first_of_the_month == first_of_this_month: if first_of_the_month == first_of_this_month:
periods.append((now.strftime(FORMAT_MONTH), periods.append((now.strftime(FORMAT_MONTH),
now.day, now.day,
first_of_this_month, now)) first_of_this_month, now))
break break
elif first_of_the_month < first_of_this_month: elif first_of_the_month < first_of_this_month:
in_the_next_month = first_of_the_month + datetime.timedelta(40) in_the_next_month = first_of_the_month + datetime.timedelta(40)
last_of_the_month = datetime.datetime(in_the_next_month.year, last_of_the_month = datetime.datetime(in_the_next_month.year,
in_the_next_month.month, 1)\ in_the_next_month.month, 1)\
- datetime.timedelta(1) - datetime.timedelta(1)
periods.append((now.strftime(FORMAT_MONTH), 0, periods.append((now.strftime(FORMAT_MONTH), 0,
first_of_the_month, last_of_the_month)) first_of_the_month, last_of_the_month))
else: else:
# first_of_the_month has got to the future somehow # first_of_the_month has got to the future somehow
break break
month += 1 month += 1
if month > 12: if month > 12:
year += 1 year += 1
month = 1 month = 1
else: else:
raise NotImplementedError raise NotImplementedError
self.download_and_store(periods) self.download_and_store(periods)
   
@staticmethod @staticmethod
def get_full_period_name(period_name, period_complete_day): def get_full_period_name(period_name, period_complete_day):
if period_complete_day: if period_complete_day:
return period_name + ' (up to %ith)' % period_complete_day return period_name + ' (up to %ith)' % period_complete_day
else: else:
return period_name return period_name
   
   
def download_and_store(self, periods): def download_and_store(self, periods):
for period_name, period_complete_day, start_date, end_date in periods: for period_name, period_complete_day, start_date, end_date in periods:
log.info('Downloading Analytics for period "%s" (%s - %s)', log.info('Downloading Analytics for period "%s" (%s - %s)',
self.get_full_period_name(period_name, period_complete_day), self.get_full_period_name(period_name, period_complete_day),
start_date.strftime('%Y %m %d'), start_date.strftime('%Y %m %d'),
end_date.strftime('%Y %m %d')) end_date.strftime('%Y %m %d'))
data = self.download(start_date, end_date) data = self.download(start_date, end_date)
log.info('Storing Analytics for period "%s"', log.info('Storing Analytics for period "%s"',
self.get_full_period_name(period_name, period_complete_day)) self.get_full_period_name(period_name, period_complete_day))
self.store(period_name, period_complete_day, data) self.store(period_name, period_complete_day, data)
   
   
def download(self, start_date, end_date): def download(self, start_date, end_date):
'''Get data from GA for a given time period''' '''Get data from GA for a given time period'''
start_date = start_date.strftime('%Y-%m-%d') start_date = start_date.strftime('%Y-%m-%d')
end_date = end_date.strftime('%Y-%m-%d') end_date = end_date.strftime('%Y-%m-%d')
# url  
#query = 'ga:pagePath=~^%s,ga:pagePath=~^%s' % \  
# (PACKAGE_URL, self.resource_url_tag)  
query = 'ga:pagePath=~/dataset/[a-z0-9-]+$' query = 'ga:pagePath=~/dataset/[a-z0-9-]+$'
metrics = 'ga:uniquePageviews' metrics = 'ga:uniquePageviews'
sort = '-ga:uniquePageviews' sort = '-ga:uniquePageviews'
   
# Supported query params at # Supported query params at
# https://developers.google.com/analytics/devguides/reporting/core/v3/reference # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
filters=query, filters=query,
start_date=start_date, start_date=start_date,
metrics=metrics, metrics=metrics,
sort=sort, sort=sort,
dimensions="ga:pagePath", dimensions="ga:pagePath",
  max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
   
   
import pprint import pprint
pprint.pprint(results) pprint.pprint(results)
print 'Total results: %s' % results.get('totalResults') print 'Total results: %s' % results.get('totalResults')
   
packages = [] packages = []
for entry in results.get('rows'): for entry in results.get('rows'):
(loc,size,) = entry (loc,size,) = entry
packages.append( ('http:/' + loc,size, '',) ) packages.append( ('http:/' + loc,size, '',) ) # Temporary hack
return dict(url=packages) return dict(url=packages)
   
def print_results(self, results):  
import pprint  
pprint.pprint(results)  
if results:  
print 'Profile: %s' % results.get('profileInfo').get('profileName')  
   
print 'Total Visits: %s' % results.get('rows', [[-1]])[0][0]  
else:  
print 'No results found'  
   
def store(self, period_name, period_complete_day, data): def store(self, period_name, period_complete_day, data):
if 'url' in data: if 'url' in data:
ga_model.update_url_stats(period_name, period_complete_day, data['url']) ga_model.update_url_stats(period_name, period_complete_day, data['url'])
   
import re import re
import uuid import uuid
   
from sqlalchemy import Table, Column, MetaData from sqlalchemy import Table, Column, MetaData
from sqlalchemy import types from sqlalchemy import types
from sqlalchemy.sql import select from sqlalchemy.sql import select
from sqlalchemy.orm import mapper from sqlalchemy.orm import mapper
from sqlalchemy import func from sqlalchemy import func
   
import ckan.model as model import ckan.model as model
from ckan.lib.base import * from ckan.lib.base import *
   
def make_uuid(): def make_uuid():
return unicode(uuid.uuid4()) return unicode(uuid.uuid4())
   
   
   
class GA_Url(object): class GA_Url(object):
   
def __init__(self, **kwargs): def __init__(self, **kwargs):
for k,v in kwargs.items(): for k,v in kwargs.items():
setattr(self, k, v) setattr(self, k, v)
   
   
metadata = MetaData() metadata = MetaData()
url_table = Table('ga_url', metadata, url_table = Table('ga_url', metadata,
Column('id', types.UnicodeText, primary_key=True, Column('id', types.UnicodeText, primary_key=True,
default=make_uuid), default=make_uuid),
Column('period_name', types.UnicodeText), Column('period_name', types.UnicodeText),
Column('period_complete_day', types.Integer), Column('period_complete_day', types.Integer),
Column('visits', types.Integer), Column('metric', types.UnicodeText),
  Column('value', types.UnicodeText),
Column('url', types.UnicodeText), Column('url', types.UnicodeText),
Column('next_page', types.UnicodeText), Column('department_id', types.UnicodeText),
) )
mapper(GA_Url, url_table) mapper(GA_Url, url_table)
   
   
def init_tables(): def init_tables():
metadata.create_all(model.meta.engine) metadata.create_all(model.meta.engine)
   
   
cached_tables = {} cached_tables = {}
   
   
def get_table(name): def get_table(name):
if name not in cached_tables: if name not in cached_tables:
meta = MetaData() meta = MetaData()
meta.reflect(bind=model.meta.engine) meta.reflect(bind=model.meta.engine)
table = meta.tables[name] table = meta.tables[name]
cached_tables[name] = table cached_tables[name] = table
return cached_tables[name] return cached_tables[name]
   
   
def _normalize_url(url): def _normalize_url(url):
'''Strip off the hostname etc. Do this before storing it. '''Strip off the hostname etc. Do this before storing it.
   
>>> normalize_url('http://data.gov.uk/dataset/weekly_fuel_prices') >>> normalize_url('http://data.gov.uk/dataset/weekly_fuel_prices')
'/dataset/weekly_fuel_prices' '/dataset/weekly_fuel_prices'
''' '''
url = re.sub('https?://(www\.)?data.gov.uk', '', url) url = re.sub('https?://(www\.)?data.gov.uk', '', url)
return url return url
   
   
def _get_department_id_of_url(url): def _get_department_id_of_url(url):
# e.g. /dataset/fuel_prices # e.g. /dataset/fuel_prices
# e.g. /dataset/fuel_prices/resource/e63380d4 # e.g. /dataset/fuel_prices/resource/e63380d4
dataset_match = re.match('/dataset/([^/]+)(/.*)?', url) dataset_match = re.match('/dataset/([^/]+)(/.*)?', url)
if dataset_match: if dataset_match:
dataset_ref = dataset_match.groups()[0] dataset_ref = dataset_match.groups()[0]
dataset = model.Package.get(dataset_ref) dataset = model.Package.get(dataset_ref)
if dataset: if dataset:
publisher_groups = dataset.get_groups('publisher') publisher_groups = dataset.get_groups('publisher')
if publisher_groups: if publisher_groups:
return publisher_groups[0].id return publisher_groups[0].name
   
   
def update_url_stats(period_name, period_complete_day, url_data): def update_url_stats(period_name, period_complete_day, url_data):
table = get_table('ga_url') table = get_table('ga_url')
for url, views, next_page in url_data: for url, views, next_page in url_data:
url = _normalize_url(url) url = _normalize_url(url)
department_id = _get_department_id_of_url(url) department_id = _get_department_id_of_url(url)
   
# see if the row for this url & month is in the table already # see if the row for this url & month is in the table already
item = model.Session.query(GA_Url).filter(GA_Url.period_name==period_name).filter(GA_Url.url==url).first() item = model.Session.query(GA_Url).\
  filter(GA_Url.period_name==period_name).\