Change the entry for the current month to include the date that reports are available to.
Change the entry for the current month to include the date that reports are available to.

- Requires a migration
alter table ga_stat add column period_complete_day text;
- Makes sure that GA_Stat entries have the period_complete_day set
- Cleans up the template and moves the drop-down to the util template

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/datagovuk/ckanext-ga-report.git#egg=ckanext-ga-report $ pip install -e git+https://github.com/datagovuk/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 (e.g. data.gov.uk, see top level item at https://www.google.com/analytics) googleanalytics.account = Account name (e.g. data.gov.uk, see top level item at https://www.google.com/analytics)
  googleanalytics.token.filepath = ~/pyenv/token.dat
ga-report.period = monthly ga-report.period = monthly
ga-report.bounce_url = /data ga-report.bounce_url = /
   
The ga-report.bounce_url specifies the path to use when calculating bounces. For DGU this is /data The ga-report.bounce_url specifies a particular path to record the bounce rate for. Typically it is / (the home page).
but you may want to set this to /.  
   
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
   
Problem shooting Problem shooting
---------------- ----------------
   
* ``(ProgrammingError) relation "ga_url" does not exist`` * ``(ProgrammingError) relation "ga_url" does not exist``
This means that the ``paster initdb`` step has not been run successfully. Refer to the installation instructions for this extension. This means that the ``paster initdb`` step has not been run successfully. Refer to the installation instructions for this extension.
   
   
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
   
  Now ensure you reference the correct path to your token.dat in your CKAN config file (e.g. development.ini)::
   
  googleanalytics.token.filepath = ~/pyenv/token.dat
   
   
Tutorial Tutorial
-------- --------
   
Download some GA data and store it in CKAN's database. (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 database. (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 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
  import os
   
  from pylons import config
   
from ckan.lib.cli import CkanCommand from ckan.lib.cli import CkanCommand
# No other CKAN imports allowed until _load_config is run, # No other CKAN imports allowed until _load_config is run,
# or logging is disabled # or logging is disabled
   
   
class InitDB(CkanCommand): class InitDB(CkanCommand):
"""Initialise the extension's database tables """Initialise the extension's database tables
""" """
summary = __doc__.split('\n')[0] summary = __doc__.split('\n')[0]
usage = __doc__ usage = __doc__
max_args = 0 max_args = 0
min_args = 0 min_args = 0
   
def command(self): def command(self):
self._load_config() self._load_config()
   
import ckan.model as model import ckan.model as model
model.Session.remove() model.Session.remove()
model.Session.configure(bind=model.meta.engine) model.Session.configure(bind=model.meta.engine)
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
import ga_model import ga_model
ga_model.init_tables() ga_model.init_tables()
log.info("DB tables are setup") log.info("DB tables are setup")
   
   
class GetAuthToken(CkanCommand): class GetAuthToken(CkanCommand):
""" Get's the Google auth token """ Get's the Google auth token
   
Usage: paster getauthtoken <credentials_file> Usage: paster getauthtoken <credentials_file>
   
Where <credentials_file> is the file name containing the details Where <credentials_file> is the file name containing the details
for the service (obtained from https://code.google.com/apis/console). for the service (obtained from https://code.google.com/apis/console).
By default this is set to credentials.json By default this is set to credentials.json
""" """
summary = __doc__.split('\n')[0] summary = __doc__.split('\n')[0]
usage = __doc__ usage = __doc__
max_args = 0 max_args = 0
min_args = 0 min_args = 0
   
def command(self): def command(self):
""" """
In this case we don't want a valid service, but rather just to In this case we don't want a valid service, but rather just to
force the user through the auth flow. We allow this to complete to force the user through the auth flow. We allow this to complete to
act as a form of verification instead of just getting the token and act as a form of verification instead of just getting the token and
assuming it is correct. assuming it is correct.
""" """
from ga_auth import init_service from ga_auth import init_service
init_service('token.dat', init_service('token.dat',
self.args[0] if self.args self.args[0] if self.args
else 'credentials.json') else 'credentials.json')
   
   
class LoadAnalytics(CkanCommand): class LoadAnalytics(CkanCommand):
"""Get data from Google Analytics API and save it """Get data from Google Analytics API and save it
in the ga_model in the ga_model
   
Usage: paster loadanalytics <tokenfile> <time-period> Usage: paster loadanalytics <time-period>
   
Where <tokenfile> is the name of the auth token file from Where <time-period> is:
the getauthtoken step.  
   
And where <time-period> is:  
all - data for all time all - data for all time
latest - (default) just the 'latest' data latest - (default) just the 'latest' data
YYYY-MM - just data for the specific month YYYY-MM - just data for the specific month
""" """
summary = __doc__.split('\n')[0] summary = __doc__.split('\n')[0]
usage = __doc__ usage = __doc__
max_args = 2 max_args = 1
min_args = 1 min_args = 0
   
def __init__(self, name): def __init__(self, name):
super(LoadAnalytics, self).__init__(name) super(LoadAnalytics, self).__init__(name)
self.parser.add_option('-d', '--delete-first', self.parser.add_option('-d', '--delete-first',
action='store_true', action='store_true',
default=False, default=False,
dest='delete_first', dest='delete_first',
help='Delete data for the period first') help='Delete data for the period first')
  self.parser.add_option('-s', '--skip_url_stats',
  action='store_true',
  default=False,
  dest='skip_url_stats',
  help='Skip the download of URL data - just do site-wide stats')
   
def command(self): def command(self):
self._load_config() self._load_config()
   
from download_analytics import DownloadAnalytics from download_analytics import DownloadAnalytics
from ga_auth import (init_service, get_profile_id) from ga_auth import (init_service, get_profile_id)
   
  ga_token_filepath = os.path.expanduser(config.get('googleanalytics.token.filepath', ''))
  if not ga_token_filepath:
  print 'ERROR: In the CKAN config you need to specify the filepath of the ' \
  'Google Analytics token file under key: googleanalytics.token.filepath'
  return
   
try: try:
svc = init_service(self.args[0], None) svc = init_service(ga_token_filepath, None)
except TypeError: except TypeError:
print ('Have you correctly run the getauthtoken task and ' print ('Have you correctly run the getauthtoken task and '
'specified the correct token file?') 'specified the correct token file in the CKAN config under '
  '"googleanalytics.token.filepath"?')
return return
   
downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc), downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc),
delete_first=self.options.delete_first) delete_first=self.options.delete_first,
  skip_url_stats=self.options.skip_url_stats)
   
time_period = self.args[1] if self.args and len(self.args) > 1 \ time_period = self.args[0] if self.args else 'latest'
else 'latest'  
if time_period == 'all': if time_period == 'all':
downloader.all_() downloader.all_()
elif time_period == 'latest': elif time_period == 'latest':
downloader.latest() downloader.latest()
else: else:
# The month to use # The month to use
for_date = datetime.datetime.strptime(time_period, '%Y-%m') for_date = datetime.datetime.strptime(time_period, '%Y-%m')
downloader.specific_month(for_date) downloader.specific_month(for_date)
   
import re import re
import csv import csv
import sys import sys
import logging import logging
import operator import operator
import collections import collections
from ckan.lib.base import (BaseController, c, g, render, request, response, abort) from ckan.lib.base import (BaseController, c, g, render, request, response, abort)
   
import sqlalchemy import sqlalchemy
from sqlalchemy import func, cast, Integer from sqlalchemy import func, cast, Integer
import ckan.model as model import ckan.model as model
from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher
   
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
   
def _get_month_name(strdate): def _get_month_name(strdate):
import calendar import calendar
from time import strptime from time import strptime
d = strptime(strdate, '%Y-%m') d = strptime(strdate, '%Y-%m')
return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year) return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
   
   
def _month_details(cls): def _month_details(cls):
  '''
  Returns a list of all the periods for which we have data, unfortunately
  knows too much about the type of the cls being passed as GA_Url has a
  more complex query
   
  This may need extending if we add a period_name to the stats
  '''
months = [] months = []
vals = model.Session.query(cls.period_name).filter(cls.period_name!='All').distinct().all() day = None
   
  vals = model.Session.query(cls.period_name,cls.period_complete_day)\
  .filter(cls.period_name!='All').distinct(cls.period_name)\
  .order_by("period_name desc").all()
  if vals and vals[0][1]:
  day = int(vals[0][1])
  ordinal = 'th' if 11 <= day <= 13 \
  else {1:'st',2:'nd',3:'rd'}.get(day % 10, 'th')
  day = "{day}{ordinal}".format(day=day, ordinal=ordinal)
   
for m in vals: for m in vals:
months.append( (m[0], _get_month_name(m[0]))) months.append( (m[0], _get_month_name(m[0])))
return sorted(months, key=operator.itemgetter(0), reverse=True)  
  return months, day
   
   
class GaReport(BaseController): class GaReport(BaseController):
   
def csv(self, month): def csv(self, month):
import csv import csv
   
q = model.Session.query(GA_Stat) q = model.Session.query(GA_Stat)
if month != 'all': if month != 'all':
q = q.filter(GA_Stat.period_name==month) q = q.filter(GA_Stat.period_name==month)
entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all() entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all()
   
response.headers['Content-Type'] = "text/csv; charset=utf-8" response.headers['Content-Type'] = "text/csv; charset=utf-8"
response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,)) response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,))
   
writer = csv.writer(response) writer = csv.writer(response)
writer.writerow(["Period", "Statistic", "Key", "Value"]) writer.writerow(["Period", "Statistic", "Key", "Value"])
   
for entry in entries: for entry in entries:
writer.writerow([entry.period_name.encode('utf-8'), writer.writerow([entry.period_name.encode('utf-8'),
entry.stat_name.encode('utf-8'), entry.stat_name.encode('utf-8'),
entry.key.encode('utf-8'), entry.key.encode('utf-8'),
entry.value.encode('utf-8')]) entry.value.encode('utf-8')])
   
def index(self): def index(self):
   
# Get the month details by fetching distinct values and determining the # Get the month details by fetching distinct values and determining the
# month names from the values. # month names from the values.
c.months = _month_details(GA_Stat) c.months, c.day = _month_details(GA_Stat)
   
# Work out which month to show, based on query params of the first item # Work out which month to show, based on query params of the first item
c.month_desc = 'all months' c.month_desc = 'all months'
c.month = request.params.get('month', '') c.month = request.params.get('month', '')
if c.month: if c.month:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
   
q = model.Session.query(GA_Stat).\ q = model.Session.query(GA_Stat).\
filter(GA_Stat.stat_name=='Totals') filter(GA_Stat.stat_name=='Totals')
if c.month: if c.month:
q = q.filter(GA_Stat.period_name==c.month) q = q.filter(GA_Stat.period_name==c.month)
entries = q.order_by('ga_stat.key').all() entries = q.order_by('ga_stat.key').all()
   
def clean_key(key, val): def clean_key(key, val):
if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounces']: if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounce rate (home page)']:
val = "%.2f" % round(float(val), 2) val = "%.2f" % round(float(val), 2)
if key == 'Average time on site': if key == 'Average time on site':
mins, secs = divmod(float(val), 60) mins, secs = divmod(float(val), 60)
hours, mins = divmod(mins, 60) hours, mins = divmod(mins, 60)
val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val) val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val)
if key in ['New visits','Bounces']: if key in ['New visits','Bounce rate (home page)']:
val = "%s%%" % val val = "%s%%" % val
if key in ['Total page views', 'Total visits']: if key in ['Total page views', 'Total visits']:
val = int(val) val = int(val)
   
return key, val return key, val
   
c.global_totals = [] c.global_totals = []
if c.month: if c.month:
for e in entries: for e in entries:
key, val = clean_key(e.key, e.value) key, val = clean_key(e.key, e.value)
c.global_totals.append((key, val)) c.global_totals.append((key, val))
else: else:
d = collections.defaultdict(list) d = collections.defaultdict(list)
for e in entries: for e in entries:
d[e.key].append(float(e.value)) d[e.key].append(float(e.value))
for k, v in d.iteritems(): for k, v in d.iteritems():
if k in ['Total page views', 'Total visits']: if k in ['Total page views', 'Total visits']:
v = sum(v) v = sum(v)
else: else:
v = float(sum(v))/len(v) v = float(sum(v))/len(v)
key, val = clean_key(k,v) key, val = clean_key(k,v)
   
c.global_totals.append((key, val)) c.global_totals.append((key, val))
c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0)) c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
   
keys = { keys = {
'Browser versions': 'browser_versions', 'Browser versions': 'browser_versions',
'Browsers': 'browsers', 'Browsers': 'browsers',
'Operating Systems versions': 'os_versions', 'Operating Systems versions': 'os_versions',
'Operating Systems': 'os', 'Operating Systems': 'os',
'Social sources': 'social_networks', 'Social sources': 'social_networks',
'Languages': 'languages', 'Languages': 'languages',
'Country': 'country' 'Country': 'country'
} }
   
def shorten_name(name, length=60): def shorten_name(name, length=60):
return (name[:length] + '..') if len(name) > 60 else name return (name[:length] + '..') if len(name) > 60 else name
   
def fill_out_url(url): def fill_out_url(url):
import urlparse import urlparse
return urlparse.urljoin(g.site_url, url) return urlparse.urljoin(g.site_url, url)
   
c.social_referrer_totals, c.social_referrers = [], [] c.social_referrer_totals, c.social_referrers = [], []
q = model.Session.query(GA_ReferralStat) q = model.Session.query(GA_ReferralStat)
q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q
q = q.order_by('ga_referrer.count::int desc') q = q.order_by('ga_referrer.count::int desc')
for entry in q.all(): for entry in q.all():
c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url), c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url),
entry.source,entry.count)) entry.source,entry.count))
   
q = model.Session.query(GA_ReferralStat.url, q = model.Session.query(GA_ReferralStat.url,
func.sum(GA_ReferralStat.count).label('count')) func.sum(GA_ReferralStat.count).label('count'))
q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q
q = q.order_by('count desc').group_by(GA_ReferralStat.url) q = q.order_by('count desc').group_by(GA_ReferralStat.url)
for entry in q.all(): for entry in q.all():
c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'', c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'',
entry[1])) entry[1]))
   
for k, v in keys.iteritems(): for k, v in keys.iteritems():
q = model.Session.query(GA_Stat).\ q = model.Session.query(GA_Stat).\
filter(GA_Stat.stat_name==k) filter(GA_Stat.stat_name==k)
if c.month: if c.month:
entries = [] entries = []
q = q.filter(GA_Stat.period_name==c.month).\ q = q.filter(GA_Stat.period_name==c.month).\
order_by('ga_stat.value::int desc') order_by('ga_stat.value::int desc')
   
d = collections.defaultdict(int) d = collections.defaultdict(int)
for e in q.all(): for e in q.all():
d[e.key] += int(e.value) d[e.key] += int(e.value)
entries = [] entries = []
for key, val in d.iteritems(): for key, val in d.iteritems():
entries.append((key,val,)) entries.append((key,val,))
entries = sorted(entries, key=operator.itemgetter(1), reverse=True) entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
   
# Get the total for each set of values and then set the value as # Get the total for each set of values and then set the value as
# a percentage of the total # a percentage of the total
if k == 'Social sources': if k == 'Social sources':
total = sum([x for n,x in c.global_totals if n == 'Total visits']) total = sum([x for n,x in c.global_totals if n == 'Total visits'])
else: else:
total = sum([num for _,num in entries]) total = sum([num for _,num in entries])
setattr(c, v, [(k,_percent(v,total)) for k,v in entries ]) setattr(c, v, [(k,_percent(v,total)) for k,v in entries ])
   
return render('ga_report/site/index.html') return render('ga_report/site/index.html')
   
   
class GaDatasetReport(BaseController): class GaDatasetReport(BaseController):
""" """
Displays the pageview and visit count for datasets Displays the pageview and visit count for datasets
with options to filter by publisher and time period. with options to filter by publisher and time period.
""" """
def publisher_csv(self, month): def publisher_csv(self, month):
''' '''
Returns a CSV of each publisher with the total number of dataset Returns a CSV of each publisher with the total number of dataset
views & visits. views & visits.
''' '''
c.month = month if not month == 'all' else '' c.month = month if not month == 'all' else ''
response.headers['Content-Type'] = "text/csv; charset=utf-8" response.headers['Content-Type'] = "text/csv; charset=utf-8"
response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,)) response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,))
   
writer = csv.writer(response) writer = csv.writer(response)
writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"]) writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
   
for publisher,view,visit in _get_top_publishers(None): for publisher,view,visit in _get_top_publishers(None):
writer.writerow([publisher.title.encode('utf-8'), writer.writerow([publisher.title.encode('utf-8'),
publisher.name.encode('utf-8'), publisher.name.encode('utf-8'),
view, view,
visit, visit,
month]) month])
   
def dataset_csv(self, id='all', month='all'): def dataset_csv(self, id='all', month='all'):
''' '''
Returns a CSV with the number of views & visits for each dataset. Returns a CSV with the number of views & visits for each dataset.
   
:param id: A Publisher ID or None if you want for all :param id: A Publisher ID or None if you want for all
:param month: The time period, or 'all' :param month: The time period, or 'all'
''' '''
c.month = month if not month == 'all' else '' c.month = month if not month == 'all' else ''
if id != 'all': if id != 'all':
c.publisher = model.Group.get(id) c.publisher = model.Group.get(id)
if not c.publisher: if not c.publisher:
abort(404, 'A publisher with that name could not be found') abort(404, 'A publisher with that name could not be found')
   
packages = self._get_packages(c.publisher) packages = self._get_packages(c.publisher)
response.headers['Content-Type'] = "text/csv; charset=utf-8" response.headers['Content-Type'] = "text/csv; charset=utf-8"
response.headers['Content-Disposition'] = \ response.headers['Content-Disposition'] = \
str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,)) str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
   
writer = csv.writer(response) writer = csv.writer(response)
writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"]) writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"])
   
for package,view,visit in packages: for package,view,visit in packages:
writer.writerow([package.title.encode('utf-8'), writer.writerow([package.title.encode('utf-8'),
package.name.encode('utf-8'), package.name.encode('utf-8'),
view, view,
visit, visit,
month]) month])
   
def publishers(self): def publishers(self):
'''A list of publishers and the number of views/visits for each''' '''A list of publishers and the number of views/visits for each'''
   
# Get the month details by fetching distinct values and determining the # Get the month details by fetching distinct values and determining the
# month names from the values. # month names from the values.
c.months = _month_details(GA_Url) c.months, c.day = _month_details(GA_Url)
   
# Work out which month to show, based on query params of the first item # Work out which month to show, based on query params of the first item
c.month = request.params.get('month', '') c.month = request.params.get('month', '')
c.month_desc = 'all months' c.month_desc = 'all months'
if c.month: if c.month:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
   
c.top_publishers = _get_top_publishers() c.top_publishers = _get_top_publishers()
return render('ga_report/publisher/index.html') return render('ga_report/publisher/index.html')
   
def _get_packages(self, publisher=None, count=-1): def _get_packages(self, publisher=None, count=-1):
'''Returns the datasets in order of visits''' '''Returns the datasets in order of views'''
if count == -1: if count == -1:
count = sys.maxint count = sys.maxint
   
month = c.month or 'All' month = c.month or 'All'
   
q = model.Session.query(GA_Url,model.Package)\ q = model.Session.query(GA_Url,model.Package)\
.filter(model.Package.name==GA_Url.package_id)\ .filter(model.Package.name==GA_Url.package_id)\
.filter(GA_Url.url.like('/dataset/%')) .filter(GA_Url.url.like('/dataset/%'))
if publisher: if publisher:
q = q.filter(GA_Url.department_id==publisher.name) q = q.filter(GA_Url.department_id==publisher.name)
q = q.filter(GA_Url.period_name==month) q = q.filter(GA_Url.period_name==month)
q = q.order_by('ga_url.visitors::int desc') q = q.order_by('ga_url.pageviews::int desc')
top_packages = [] top_packages = []
for entry,package in q.limit(count): for entry,package in q.limit(count):
if package: if package:
top_packages.append((package, entry.pageviews, entry.visitors)) top_packages.append((package, entry.pageviews, entry.visits))
else: else:
log.warning('Could not find package associated package') log.warning('Could not find package associated package')
   
return top_packages return top_packages
   
def read(self): def read(self):
''' '''
Lists the most popular datasets across all publishers Lists the most popular datasets across all publishers
''' '''
return self.read_publisher(None) return self.read_publisher(None)
   
def read_publisher(self, id): def read_publisher(self, id):
''' '''
Lists the most popular datasets for a publisher (or across all publishers) Lists the most popular datasets for a publisher (or across all publishers)
''' '''
count = 20 count = 20
   
c.publishers = _get_publishers() c.publishers = _get_publishers()
   
id = request.params.get('publisher', id) id = request.params.get('publisher', id)
if id and id != 'all': if id and id != 'all':
c.publisher = model.Group.get(id) c.publisher = model.Group.get(id)
if not c.publisher: if not c.publisher:
abort(404, 'A publisher with that name could not be found') abort(404, 'A publisher with that name could not be found')
c.publisher_name = c.publisher.name c.publisher_name = c.publisher.name
c.top_packages = [] # package, dataset_views in c.top_packages c.top_packages = [] # package, dataset_views in c.top_packages
   
# Get the month details by fetching distinct values and determining the # Get the month details by fetching distinct values and determining the
# month names from the values. # month names from the values.
c.months = _month_details(GA_Url) c.months, c.day = _month_details(GA_Url)
   
# Work out which month to show, based on query params of the first item # Work out which month to show, based on query params of the first item
c.month = request.params.get('month', '') c.month = request.params.get('month', '')
if not c.month: if not c.month:
c.month_desc = 'all months' c.month_desc = 'all months'
else: else:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
   
month = c.month or 'All' month = c.month or 'All'
c.publisher_page_views = 0 c.publisher_page_views = 0
q = model.Session.query(GA_Url).\ q = model.Session.query(GA_Url).\
filter(GA_Url.url=='/publisher/%s' % c.publisher_name) filter(GA_Url.url=='/publisher/%s' % c.publisher_name)
entry = q.filter(GA_Url.period_name==c.month).first() entry = q.filter(GA_Url.period_name==c.month).first()
c.publisher_page_views = entry.pageviews if entry else 0 c.publisher_page_views = entry.pageviews if entry else 0
   
c.top_packages = self._get_packages(c.publisher, 20) c.top_packages = self._get_packages(c.publisher, 20)
   
return render('ga_report/publisher/read.html') return render('ga_report/publisher/read.html')
   
def _get_top_publishers(limit=20): def _get_top_publishers(limit=20):
''' '''
Returns a list of the top 20 publishers by dataset visits. Returns a list of the top 20 publishers by dataset visits.
(The number to show can be varied with 'limit') (The number to show can be varied with 'limit')
''' '''
month = c.month or 'All' month = c.month or 'All'
connection = model.Session.connection() connection = model.Session.connection()
q = """ q = """
select department_id, sum(pageviews::int) views, sum(visitors::int) visits select department_id, sum(pageviews::int) views, sum(visits::int) visits
from ga_url from ga_url
where department_id <> '' where department_id <> ''
  and package_id <> ''
  and url like '/dataset/%%'
and period_name=%s and period_name=%s
group by department_id order by visits desc group by department_id order by views desc
""" """
if limit: if limit:
q = q + " limit %s;" % (limit) q = q + " limit %s;" % (limit)
   
top_publishers = [] top_publishers = []
res = connection.execute(q, month) res = connection.execute(q, month)
for row in res: for row in res:
g = model.Group.get(row[0]) g = model.Group.get(row[0])
if g: if g:
top_publishers.append((g, row[1], row[2])) top_publishers.append((g, row[1], row[2]))
return top_publishers return top_publishers
   
   
def _get_publishers(): def _get_publishers():
''' '''
Returns a list of all publishers. Each item is a tuple: Returns a list of all publishers. Each item is a tuple:
(names, title) (name, title)
''' '''
publishers = [] publishers = []
for pub in model.Session.query(model.Group).\ for pub in model.Session.query(model.Group).\
filter(model.Group.type=='publisher').\ filter(model.Group.type=='publisher').\
filter(model.Group.state=='active').\ filter(model.Group.state=='active').\
order_by(model.Group.name): order_by(model.Group.name):
publishers.append((pub.name, pub.title)) publishers.append((pub.name, pub.title))
return publishers return publishers
   
def _percent(num, total): def _percent(num, total):
p = 100 * float(num)/float(total) p = 100 * float(num)/float(total)
return "%.2f%%" % round(p, 2) return "%.2f%%" % round(p, 2)
   
import os import os
import logging import logging
import datetime import datetime
import collections import collections
from pylons import config from pylons import config
from ga_model import _normalize_url from ga_model import _normalize_url
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'
MIN_VIEWS = 50 MIN_VIEWS = 50
MIN_VISITS = 20 MIN_VISITS = 20
   
class DownloadAnalytics(object): class DownloadAnalytics(object):
'''Downloads and stores analytics info''' '''Downloads and stores analytics info'''
   
def __init__(self, service=None, profile_id=None, delete_first=False): def __init__(self, service=None, profile_id=None, delete_first=False,
  skip_url_stats=False):
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
self.delete_first = delete_first self.delete_first = delete_first
  self.skip_url_stats = skip_url_stats
   
def specific_month(self, date): def specific_month(self, date):
import calendar import calendar
   
first_of_this_month = datetime.datetime(date.year, date.month, 1) first_of_this_month = datetime.datetime(date.year, date.month, 1)
_, last_day_of_month = calendar.monthrange(int(date.year), int(date.month)) _, last_day_of_month = calendar.monthrange(int(date.year), int(date.month))
last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month) last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month)
periods = ((date.strftime(FORMAT_MONTH), periods = ((date.strftime(FORMAT_MONTH),
last_day_of_month, last_day_of_month,
first_of_this_month, last_of_this_month),) first_of_this_month, last_of_this_month),)
self.download_and_store(periods) self.download_and_store(periods)
   
   
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 for_date(self, for_date): def for_date(self, for_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 = for_date.year year = for_date.year
month = for_date.month month = for_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('Period "%s" (%s - %s)',
  self.get_full_period_name(period_name, period_complete_day),
  start_date.strftime('%Y-%m-%d'),
  end_date.strftime('%Y-%m-%d'))
   
if self.delete_first: if self.delete_first:
log.info('Deleting existing Analytics for period "%s"', log.info('Deleting existing Analytics for this period "%s"',
period_name) period_name)
ga_model.delete(period_name) ga_model.delete(period_name)
log.info('Downloading Analytics for period "%s" (%s - %s)',  
self.get_full_period_name(period_name, period_complete_day), if not self.skip_url_stats:
start_date.strftime('%Y %m %d'), # Clean out old url data before storing the new
end_date.strftime('%Y %m %d')) ga_model.pre_update_url_stats(period_name)
   
# Clean up the entries before we run this accountName = config.get('googleanalytics.account')
ga_model.pre_update_url_stats(period_name)  
  log.info('Downloading analytics for dataset views')
accountName = config.get('googleanalytics.account') data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName)
   
data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName) log.info('Storing dataset views (%i rows)', len(data.get('url')))
log.info('Storing Dataset Analytics for period "%s"', self.store(period_name, period_complete_day, data, )
self.get_full_period_name(period_name, period_complete_day))  
self.store(period_name, period_complete_day, data, ) log.info('Downloading analytics for publisher views')
  data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName)
data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName)  
log.info('Storing Publisher Analytics for period "%s"', log.info('Storing publisher views (%i rows)', len(data.get('url')))
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,)  
  log.info('Aggregating datasets by publisher')
ga_model.update_publisher_stats(period_name) # about 30 seconds. ga_model.update_publisher_stats(period_name) # about 30 seconds.
self.sitewide_stats( period_name )  
  log.info('Downloading and storing analytics for site-wide stats')
  self.sitewide_stats( period_name, period_complete_day )
   
  log.info('Downloading and storing analytics for social networks')
self.update_social_info(period_name, start_date, end_date) self.update_social_info(period_name, start_date, end_date)
   
   
def update_social_info(self, period_name, start_date, end_date): def update_social_info(self, period_name, start_date, end_date):
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')
query = 'ga:hasSocialSourceReferral=~Yes$' query = 'ga:hasSocialSourceReferral=~Yes$'
metrics = 'ga:entrances' metrics = 'ga:entrances'
sort = '-ga:entrances' sort = '-ga:entrances'
   
# 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:landingPagePath,ga:socialNetwork", dimensions="ga:landingPagePath,ga:socialNetwork",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
data = collections.defaultdict(list) data = collections.defaultdict(list)
rows = results.get('rows',[]) rows = results.get('rows',[])
for row in rows: for row in rows:
data[_normalize_url(row[0])].append( (row[1], int(row[2]),) ) data[_normalize_url(row[0])].append( (row[1], int(row[2]),) )
ga_model.update_social(period_name, data) ga_model.update_social(period_name, data)
   
   
def download(self, start_date, end_date, path=None): def download(self, start_date, end_date, path=None):
'''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')
query = 'ga:pagePath=%s$' % path query = 'ga:pagePath=%s$' % path
metrics = 'ga:uniquePageviews, ga:visits' metrics = 'ga:pageviews, ga:visits'
sort = '-ga:uniquePageviews' sort = '-ga:pageviews'
   
# 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, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
   
packages = [] packages = []
for entry in results.get('rows'): for entry in results.get('rows'):
(loc,pageviews,visits) = entry (loc,pageviews,visits) = entry
url = _normalize_url('http:/' + loc) url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk
   
if not url.startswith('/dataset/') and not url.startswith('/publisher/'): if not url.startswith('/dataset/') and not url.startswith('/publisher/'):
  # filter out strays like:
  # /data/user/login?came_from=http://data.gov.uk/dataset/os-code-point-open
  # /403.html?page=/about&from=http://data.gov.uk/publisher/planning-inspectorate
continue continue
packages.append( (url, pageviews, visits,) ) # Temporary hack packages.append( (url, pageviews, visits,) ) # Temporary hack
return dict(url=packages) return dict(url=packages)
   
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'])
   
def sitewide_stats(self, period_name): def sitewide_stats(self, period_name, period_complete_day):
import calendar import calendar
year, month = period_name.split('-') year, month = period_name.split('-')
_, last_day_of_month = calendar.monthrange(int(year), int(month)) _, last_day_of_month = calendar.monthrange(int(year), int(month))
   
start_date = '%s-01' % period_name start_date = '%s-01' % period_name
end_date = '%s-%s' % (period_name, last_day_of_month) end_date = '%s-%s' % (period_name, last_day_of_month)
print 'Sitewide_stats for %s (%s -> %s)' % (period_name, start_date, end_date)  
   
funcs = ['_totals_stats', '_social_stats', '_os_stats', funcs = ['_totals_stats', '_social_stats', '_os_stats',
'_locale_stats', '_browser_stats', '_mobile_stats'] '_locale_stats', '_browser_stats', '_mobile_stats']
for f in funcs: for f in funcs:
print ' + Fetching %s stats' % f.split('_')[1] log.info('Downloading analytics for %s' % f.split('_')[1])
getattr(self, f)(start_date, end_date, period_name) getattr(self, f)(start_date, end_date, period_name, period_complete_day)
   
def _get_results(result_data, f): def _get_results(result_data, f):
data = {} data = {}
for result in result_data: for result in result_data:
key = f(result) key = f(result)
data[key] = data.get(key,0) + result[1] data[key] = data.get(key,0) + result[1]
return data return data
   
def _totals_stats(self, start_date, end_date, period_name): def _totals_stats(self, start_date, end_date, period_name, period_complete_day):
""" Fetches distinct totals, total pageviews etc """ """ Fetches distinct totals, total pageviews etc """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}) ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]},
  period_complete_day)
   
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits', metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits',
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = { data = {
'Pages per visit': result_data[0][0], 'Pages per visit': result_data[0][0],
'Average time on site': result_data[0][1], 'Average time on site': result_data[0][1],
'New visits': result_data[0][2], 'New visits': result_data[0][2],
'Total visits': result_data[0][3], 'Total visits': result_data[0][3],
} }
ga_model.update_sitewide_stats(period_name, "Totals", data) ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day)
   
# Bounces from /data. This url is specified in configuration because # Bounces from / or another configurable page.
# for DGU we don't want /. path = '/%s%s' % (config.get('googleanalytics.account'),
path = config.get('ga-report.bounce_url','/') config.get('ga-report.bounce_url', '/'))
print path results = self.service.data().ga().get(
results = self.service.data().ga().get( ids='ga:' + self.profile_id,
ids='ga:' + self.profile_id, filters='ga:pagePath==%s' % (path,),
filters='ga:pagePath=~%s$' % (path,), start_date=start_date,
start_date=start_date, metrics='ga:bounces,ga:pageviews',
metrics='ga:bounces,ga:uniquePageviews',  
dimensions='ga:pagePath', dimensions='ga:pagePath',
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
for results in result_data: if not result_data or len(result_data) != 1:
if results[0] == path: log.error('Could not pinpoint the bounces for path: %s. Got results: %r',
bounce, total = [float(x) for x in results[1:]] path, result_data)
pct = 100 * bounce/total return
print "%d bounces from %d total == %s" % (bounce, total, pct) results = result_data[0]
ga_model.update_sitewide_stats(period_name, "Totals", {'Bounces': pct}) bounces, total = [float(x) for x in result_data[0][1:]]
  pct = 100 * bounces/total
  log.info('%d bounces from %d total == %s', bounces, total, pct)
def _locale_stats(self, start_date, end_date, period_name): ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': pct},
  period_complete_day)
   
   
  def _locale_stats(self, start_date, end_date, period_name, period_complete_day):
""" Fetches stats about language and country """ """ Fetches stats about language and country """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:language,ga:country", dimensions="ga:language,ga:country",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Languages", data) ga_model.update_sitewide_stats(period_name, "Languages", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
data[result[1]] = data.get(result[1], 0) + int(result[2]) data[result[1]] = data.get(result[1], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Country", data) ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day)
   
   
def _social_stats(self, start_date, end_date, period_name): def _social_stats(self, start_date, end_date, period_name, period_complete_day):
""" Finds out which social sites people are referred from """ """ Finds out which social sites people are referred from """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:socialNetwork,ga:referralPath", dimensions="ga:socialNetwork,ga:referralPath",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
if not result[0] == '(not set)': if not result[0] == '(not set)':
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, 3) self._filter_out_long_tail(data, 3)
ga_model.update_sitewide_stats(period_name, "Social sources", data) ga_model.update_sitewide_stats(period_name, "Social sources", data, period_complete_day)
   
   
def _os_stats(self, start_date, end_date, period_name): def _os_stats(self, start_date, end_date, period_name, period_complete_day):
""" Operating system stats """ """ Operating system stats """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:operatingSystem,ga:operatingSystemVersion", dimensions="ga:operatingSystem,ga:operatingSystemVersion",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Operating Systems", data) ga_model.update_sitewide_stats(period_name, "Operating Systems", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
if int(result[2]) >= MIN_VIEWS: if int(result[2]) >= MIN_VIEWS:
key = "%s %s" % (result[0],result[1]) key = "%s %s" % (result[0],result[1])
data[key] = result[2] data[key] = result[2]
ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data, period_complete_day)
   
   
def _browser_stats(self, start_date, end_date, period_name): def _browser_stats(self, start_date, end_date, period_name, period_complete_day):
""" Information about browsers and browser versions """ """ Information about browsers and browser versions """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:browser,ga:browserVersion", dimensions="ga:browser,ga:browserVersion",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
# e.g. [u'Firefox', u'19.0', u'20'] # e.g. [u'Firefox', u'19.0', u'20']
   
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Browsers", data) ga_model.update_sitewide_stats(period_name, "Browsers", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1])) key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1]))
data[key] = data.get(key, 0) + int(result[2]) data[key] = data.get(key, 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Browser versions", data) ga_model.update_sitewide_stats(period_name, "Browser versions", data, period_complete_day)
   
@classmethod @classmethod
def _filter_browser_version(cls, browser, version_str): def _filter_browser_version(cls, browser, version_str):
''' '''
Simplifies a browser version string if it is detailed. Simplifies a browser version string if it is detailed.
i.e. groups together Firefox 3.5.1 and 3.5.2 to be just 3. i.e. groups together Firefox 3.5.1 and 3.5.2 to be just 3.
This is helpful when viewing stats and good to protect privacy. This is helpful when viewing stats and good to protect privacy.
''' '''
ver = version_str ver = version_str
parts = ver.split('.') parts = ver.split('.')
if len(parts) > 1: if len(parts) > 1:
if parts[1][0] == '0': if parts[1][0] == '0':
ver = parts[0] ver = parts[0]
else: else:
ver = "%s" % (parts[0]) ver = "%s" % (parts[0])
# Special case complex version nums # Special case complex version nums
if browser in ['Safari', 'Android Browser']: if browser in ['Safari', 'Android Browser']:
ver = parts[0] ver = parts[0]
if len(ver) > 2: if len(ver) > 2:
num_hidden_digits = len(ver) - 2 num_hidden_digits = len(ver) - 2
ver = ver[0] + ver[1] + 'X' * num_hidden_digits ver = ver[0] + ver[1] + 'X' * num_hidden_digits
return ver return ver
   
def _mobile_stats(self, start_date, end_date, period_name): def _mobile_stats(self, start_date, end_date, period_name, period_complete_day):
""" Info about mobile devices """ """ Info about mobile devices """
   
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
   
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Mobile brands", data) ga_model.update_sitewide_stats(period_name, "Mobile brands", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
data[result[1]] = data.get(result[1], 0) + int(result[2]) data[result[1]] = data.get(result[1], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Mobile devices", data) ga_model.update_sitewide_stats(period_name, "Mobile devices", data, period_complete_day)
   
@classmethod @classmethod
def _filter_out_long_tail(cls, data, threshold=10): def _filter_out_long_tail(cls, data, threshold=10):
''' '''
Given data which is a frequency distribution, filter out Given data which is a frequency distribution, filter out
results which are below a threshold count. This is good to protect results which are below a threshold count. This is good to protect
privacy. privacy.
''' '''
for key, value in data.items(): for key, value in data.items():
if value < threshold: if value < threshold:
del data[key] del data[key]
   
import re import re
import uuid import uuid
   
from sqlalchemy import Table, Column, MetaData, ForeignKey from sqlalchemy import Table, Column, MetaData, ForeignKey
from sqlalchemy import types from sqlalchemy import types
from sqlalchemy.sql import select from sqlalchemy.sql import select
from sqlalchemy.orm import mapper, relation from sqlalchemy.orm import mapper, relation
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 *
   
  log = __import__('logging').getLogger(__name__)
   
def make_uuid(): def make_uuid():
return unicode(uuid.uuid4()) return unicode(uuid.uuid4())
   
metadata = MetaData() metadata = MetaData()
   
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)
   
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('pageviews', types.UnicodeText), Column('pageviews', types.UnicodeText),
Column('visitors', types.UnicodeText), Column('visits', types.UnicodeText),
Column('url', types.UnicodeText), Column('url', types.UnicodeText),
Column('department_id', types.UnicodeText), Column('department_id', types.UnicodeText),
Column('package_id', types.UnicodeText), Column('package_id', types.UnicodeText),
) )
mapper(GA_Url, url_table) mapper(GA_Url, url_table)
   
   
class GA_Stat(object): class GA_Stat(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)
   
stat_table = Table('ga_stat', metadata, stat_table = Table('ga_stat', 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.UnicodeText),
Column('stat_name', types.UnicodeText), Column('stat_name', types.UnicodeText),
Column('key', types.UnicodeText), Column('key', types.UnicodeText),
Column('value', types.UnicodeText), ) Column('value', types.UnicodeText), )
mapper(GA_Stat, stat_table) mapper(GA_Stat, stat_table)
   
   
class GA_Publisher(object): class GA_Publisher(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)
   
pub_table = Table('ga_publisher', metadata, pub_table = Table('ga_publisher', 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('publisher_name', types.UnicodeText), Column('publisher_name', types.UnicodeText),
Column('views', types.UnicodeText), Column('views', types.UnicodeText),
Column('visitors', types.UnicodeText), Column('visits', types.UnicodeText),
Column('toplevel', types.Boolean, default=False), Column('toplevel', types.Boolean, default=False),
Column('subpublishercount', types.Integer, default=0), Column('subpublishercount', types.Integer, default=0),
Column('parent', types.UnicodeText), Column('parent', types.UnicodeText),
) )
mapper(GA_Publisher, pub_table) mapper(GA_Publisher, pub_table)
   
   
class GA_ReferralStat(object): class GA_ReferralStat(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)
   
referrer_table = Table('ga_referrer', metadata, referrer_table = Table('ga_referrer', 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('source', types.UnicodeText), Column('source', types.UnicodeText),
Column('url', types.UnicodeText), Column('url', types.UnicodeText),
Column('count', types.Integer), Column('count', types.Integer),
) )
mapper(GA_ReferralStat, referrer_table) mapper(GA_ReferralStat, referrer_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'
''' '''
# Deliberately leaving a / return '/' + '/'.join(url.split('/')[3:])
url = url.replace('http:/','')  
return '/' + '/'.join(url.split('/')[2:])  
  def _get_package_and_publisher(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].name return dataset_ref,publisher_groups[0].name
  return dataset_ref, None
else: else:
publisher_match = re.match('/publisher/([^/]+)(/.*)?', url) publisher_match = re.match('/publisher/([^/]+)(/.*)?', url)
if publisher_match: if publisher_match:
return publisher_match.groups()[0] return None, publisher_match.groups()[0]
  return None, None
   
def update_sitewide_stats(period_name, stat_name, data): def update_sitewide_stats(period_name, stat_name, data, period_complete_day):
for k,v in data.iteritems(): for k,v in data.iteritems():
item = model.Session.query(GA_Stat).\ item = model.Session.query(GA_Stat).\
filter(GA_Stat.period_name==period_name).\ filter(GA_Stat.period_name==period_name).\
filter(GA_Stat.key==k).\ filter(GA_Stat.key==k).\
filter(GA_Stat.stat_name==stat_name).first() filter(GA_Stat.stat_name==stat_name).first()
if item: if item:
item.period_name = period_name item.period_name = period_name
item.key = k item.key = k
item.value = v item.value = v
  item.period_complete_day = period_complete_day
model.Session.add(item) model.Session.add(item)
else: else:
# create the row # create the row
values = {'id': make_uuid(), values = {'id': make_uuid(),
'period_name': period_name, 'period_name': period_name,
  'period_complete_day': period_complete_day,
'key': k, 'key': k,
'value': v, 'value': v,
'stat_name': stat_name 'stat_name': stat_name
} }
model.Session.add(GA_Stat(**values)) model.Session.add(GA_Stat(**values))
model.Session.commit() model.Session.commit()
   
   
def update_url_stat_totals(period_name):  
   
"""  
items = model.Session.query(GA_Url).\  
filter(GA_Url.period_name != "All").\  
filter(GA_Url.url==url).all()  
values = {'id': make_uuid(),  
'period_name': "All",  
'period_complete_day': "0",  
'url': url,  
'pageviews': sum([int(x.pageviews) for x in items]),  
'visitors': sum([int(x.visitors) for x in items]),  
'department_id': department_id,  
'package_id': package  
}  
model.Session.add(GA_Url(**values))  
model.Session.commit()  
"""  
   
def pre_update_url_stats(period_name): def pre_update_url_stats(period_name):
model.Session.query(GA_Url).\ model.Session.query(GA_Url).\
filter(GA_Url.period_name==period_name).delete() filter(GA_Url.period_name==period_name).delete()
model.Session.query(GA_Url).\ model.Session.query(GA_Url).\
filter(GA_Url.period_name=='All').delete() filter(GA_Url.period_name=='All').delete()
   
   
def update_url_stats(period_name, period_complete_day, url_data): def update_url_stats(period_name, period_complete_day, url_data):
  '''
for url, views, visitors in url_data: Given a list of urls and number of hits for each during a given period,
department_id = _get_department_id_of_url(url) stores them in GA_Url under the period and recalculates the totals for
  the 'All' period.
package = None '''
if url.startswith('/dataset/'): for url, views, visits in url_data:
package = url[len('/dataset/'):] package, publisher = _get_package_and_publisher(url)
   
values = {'id': make_uuid(),  
'period_name': period_name, item = model.Session.query(GA_Url).\
'period_complete_day': period_complete_day, filter(GA_Url.period_name==period_name).\
'url': url, filter(GA_Url.url==url).first()
'pageviews': views, if item:
'visitors': visitors, item.pageviews = item.pageviews + views
'department_id': department_id, item.visits = item.visits + visits
'package_id': package if not item.package_id:
} item.package_id = package
model.Session.add(GA_Url(**values)) if not item.department_id:
  item.department_id = publisher
  model.Session.add(item)
  else:
  values = {'id': make_uuid(),
  'period_name': period_name,
  'period_complete_day': period_complete_day,
  'url': url,
  'pageviews': views,
  'visits': visits,
  'department_id': publisher,
  'package_id': package
  }
  model.Session.add(GA_Url(**values))
model.Session.commit() model.Session.commit()
   
if package: if package:
  old_pageviews, old_visits = 0, 0
  old = model.Session.query(GA_Url).\
  filter(GA_Url.period_name=='All').\
  filter(GA_Url.url==url).all()
  old_pageviews = sum([int(o.pageviews) for o in old])
  old_visits = sum([int(o.visits) for o in old])
   
entries = model.Session.query(GA_Url).\ entries = model.Session.query(GA_Url).\
filter(GA_Url.period_name!='All').\ filter(GA_Url.period_name!='All').\
filter(GA_Url.url==url).all() filter(GA_Url.url==url).all()
values = {'id': make_uuid(), values = {'id': make_uuid(),
'period_name': 'All', 'period_name': 'All',
'period_complete_day': 0, 'period_complete_day': 0,
'url': url, 'url': url,
'pageviews': sum([int(e.pageviews) for e in entries]), 'pageviews': sum([int(e.pageviews) for e in entries]) + old_pageviews,
'visitors': sum([int(e.visitors) for e in entries]), 'visits': sum([int(e.visits or 0) for e in entries]) + old_visits,
'department_id': department_id, 'department_id': publisher,
'package_id': package 'package_id': package
} }
   
model.Session.add(GA_Url(**values)) model.Session.add(GA_Url(**values))
model.Session.commit() model.Session.commit()
   
   
   
   
   
def update_social(period_name, data): def update_social(period_name, data):
# Clean up first. # Clean up first.
model.Session.query(GA_ReferralStat).\ model.Session.query(GA_ReferralStat).\
filter(GA_ReferralStat.period_name==period_name).delete() filter(GA_ReferralStat.period_name==period_name).delete()
   
for url,data in data.iteritems(): for url,data in data.iteritems():
for entry in data: for entry in data:
source = entry[0] source = entry[0]
count = entry[1] count = entry[1]
   
item = model.Session.query(GA_ReferralStat).\ item = model.Session.query(GA_ReferralStat).\
filter(GA_ReferralStat.period_name==period_name).\ filter(GA_ReferralStat.period_name==period_name).\
filter(GA_ReferralStat.source==source).\ filter(GA_ReferralStat.source==source).\
filter(GA_ReferralStat.url==url).first() filter(GA_ReferralStat.url==url).first()
if item: if item:
item.count = item.count + count item.count = item.count + count
model.Session.add(item) model.Session.add(item)
else: else:
# create the row # create the row
values = {'id': make_uuid(), values = {'id': make_uuid(),
'period_name': period_name, 'period_name': period_name,
'source': source, 'source': source,
'url': url, 'url': url,
'count': count, 'count': count,
} }
model.Session.add(GA_ReferralStat(**values)) model.Session.add(GA_ReferralStat(**values))
model.Session.commit() model.Session.commit()
   
def update_publisher_stats(period_name): def update_publisher_stats(period_name):
""" """
Updates the publisher stats from the data retrieved for /dataset/* Updates the publisher stats from the data retrieved for /dataset/*
and /publisher/*. Will run against each dataset and generates the and /publisher/*. Will run against each dataset and generates the
totals for the entire tree beneath each publisher. totals for the entire tree beneath each publisher.
""" """
toplevel = get_top_level() toplevel = get_top_level()
publishers = model.Session.query(model.Group).\ publishers = model.Session.query(model.Group).\
filter(model.Group.type=='publisher').\ filter(model.Group.type=='publisher').\
filter(model.Group.state=='active').all() filter(model.Group.state=='active').all()
for publisher in publishers: for publisher in publishers:
views, visitors, subpub = update_publisher(period_name, publisher, publisher.name) views, visits, subpub = update_publisher(period_name, publisher, publisher.name)
parent, parents = '', publisher.get_groups('publisher') parent, parents = '', publisher.get_groups('publisher')
if parents: if parents:
parent = parents[0].name parent = parents[0].name
item = model.Session.query(GA_Publisher).\ item = model.Session.query(GA_Publisher).\
filter(GA_Publisher.period_name==period_name).\ filter(GA_Publisher.period_name==period_name).\
filter(GA_Publisher.publisher_name==publisher.name).first() filter(GA_Publisher.publisher_name==publisher.name).first()
if item: if item:
item.views = views item.views = views
item.visitors = visitors item.visits = visits
item.publisher_name = publisher.name item.publisher_name = publisher.name
item.toplevel = publisher in toplevel item.toplevel = publisher in toplevel
item.subpublishercount = subpub item.subpublishercount = subpub
item.parent = parent item.parent = parent
model.Session.add(item) model.Session.add(item)
else: else:
# create the row # create the row
values = {'id': make_uuid(), values = {'id': make_uuid(),
'period_name': period_name, 'period_name': period_name,
'publisher_name': publisher.name, 'publisher_name': publisher.name,
'views': views, 'views': views,
'visitors': visitors, 'visits': visits,
'toplevel': publisher in toplevel, 'toplevel': publisher in toplevel,
'subpublishercount': subpub, 'subpublishercount': subpub,
'parent': parent 'parent': parent
} }
model.Session.add(GA_Publisher(**values)) model.Session.add(GA_Publisher(**values))
model.Session.commit() model.Session.commit()
   
   
def update_publisher(period_name, pub, part=''): def update_publisher(period_name, pub, part=''):
views,visitors,subpub = 0, 0, 0 views,visits,subpub = 0, 0, 0
for publisher in go_down_tree(pub): for publisher in go_down_tree(pub):
subpub = subpub + 1 subpub = subpub + 1
items = model.Session.query(GA_Url).\ items = model.Session.query(GA_Url).\
filter(GA_Url.period_name==period_name).\ filter(GA_Url.period_name==period_name).\
filter(GA_Url.department_id==publisher.name).all() filter(GA_Url.department_id==publisher.name).all()
for item in items: for item in items:
views = views + int(item.pageviews) views = views + int(item.pageviews)
visitors = visitors + int(item.visitors) visits = visits + int(item.visits)
   
return views, visitors, (subpub-1) return views, visits, (subpub-1)
   
   
def get_top_level(): def get_top_level():
'''Returns the top level publishers.''' '''Returns the top level publishers.'''
return model.Session.query(model.Group).\ return model.Session.query(model.Group).\
outerjoin(model.Member, model.Member.table_id == model.Group.id and \ outerjoin(model.Member, model.Member.table_id == model.Group.id and \
model.Member.table_name == 'group' and \ model.Member.table_name == 'group' and \
model.Member.state == 'active').\ model.Member.state == 'active').\
filter(model.Member.id==None).\ filter(model.Member.id==None).\
filter(model.Group.type=='publisher').\ filter(model.Group.type=='publisher').\
order_by(model.Group.name).all() order_by(model.Group.name).all()
   
def get_children(publisher): def get_children(publisher):
'''Finds child publishers for the given publisher (object). (Not recursive)''' '''Finds child publishers for the given publisher (object). (Not recursive)'''
from ckan.model.group import HIERARCHY_CTE from ckan.model.group import HIERARCHY_CTE
return model.Session.query(model.Group).\ return model.Session.query(model.Group).\
from_statement(HIERARCHY_CTE).params(id=publisher.id, type='publisher').\ from_statement(HIERARCHY_CTE).params(id=publisher.id, type='publisher').\
all() all()
   
def go_down_tree(publisher): def go_down_tree(publisher):
'''Provided with a publisher object, it walks down the hierarchy and yields each publisher, '''Provided with a publisher object, it walks down the hierarchy and yields each publisher,
including the one you supply.''' including the one you supply.'''
yield publisher yield publisher
for child in get_children(publisher): for child in get_children(publisher):
for grandchild in go_down_tree(child): for grandchild in go_down_tree(child):
yield grandchild yield grandchild
   
def delete(period_name): def delete(period_name):
''' '''
Deletes table data for the specified period, or specify 'all' Deletes table data for the specified period, or specify 'all'
for all periods. for all periods.
''' '''
for object_type in (GA_Url, GA_Stat, GA_Publisher, GA_ReferralStat): for object_type in (GA_Url, GA_Stat, GA_Publisher, GA_ReferralStat):
q = model.Session.query(object_type) q = model.Session.query(object_type)
if period_name != 'all': if period_name != 'all':
q = q.filter_by(period_name=period_name) q = q.filter_by(period_name=period_name)
q.delete() q.delete()
model.Session.commit() model.Session.commit()
   
  def get_score_for_dataset(dataset_name):
  '''
  Returns a "current popularity" score for a dataset,
  based on how many views it has had recently.
  '''
  import datetime
  now = datetime.datetime.now()
  last_month = now - datetime.timedelta(days=30)
  period_names = ['%s-%02d' % (last_month.year, last_month.month),
  '%s-%02d' % (now.year, now.month),
  ]
   
  score = 0
  for period_name in period_names:
  score /= 2 # previous periods are discounted by 50%
  entry = model.Session.query(GA_Url)\
  .filter(GA_Url.period_name==period_name)\
  .filter(GA_Url.package_id==dataset_name).first()
  # score
  if entry:
  views = float(entry.pageviews)
  if entry.period_complete_day:
  views_per_day = views / entry.period_complete_day
  else:
  views_per_day = views / 15 # guess
  score += views_per_day
   
  score = int(score * 100)
  log.debug('Popularity %s: %s', score, dataset_name)
  return score
   
import logging import logging
import operator import operator
   
import ckan.lib.base as base import ckan.lib.base as base
import ckan.model as model import ckan.model as model
  from ckan.logic import get_action
   
from ckanext.ga_report.ga_model import GA_Url, GA_Publisher from ckanext.ga_report.ga_model import GA_Url, GA_Publisher
from ckanext.ga_report.controller import _get_publishers from ckanext.ga_report.controller import _get_publishers
_log = logging.getLogger(__name__) _log = logging.getLogger(__name__)
   
def popular_datasets(count=10): def popular_datasets(count=10):
import random import random
   
publisher = None publisher = None
publishers = _get_publishers(30) publishers = _get_publishers(30)
total = len(publishers) total = len(publishers)
while not publisher or not datasets: while not publisher or not datasets:
rand = random.randrange(0, total) rand = random.randrange(0, total)
publisher = publishers[rand][0] publisher = publishers[rand][0]
if not publisher.state == 'active': if not publisher.state == 'active':
publisher = None publisher = None
continue continue
datasets = _datasets_for_publisher(publisher, 10)[:count] datasets = _datasets_for_publisher(publisher, 10)[:count]
   
ctx = { ctx = {
'datasets': datasets, 'datasets': datasets,
'publisher': publisher 'publisher': publisher
} }
return base.render_snippet('ga_report/ga_popular_datasets.html', **ctx) return base.render_snippet('ga_report/ga_popular_datasets.html', **ctx)
   
def single_popular_dataset(top=20): def single_popular_dataset(top=20):
'''Returns a random dataset from the most popular ones. '''Returns a random dataset from the most popular ones.
   
:param top: the number of top datasets to select from :param top: the number of top datasets to select from
''' '''
import random import random
   
top_datasets = model.Session.query(GA_Url).\ top_datasets = model.Session.query(GA_Url).\
filter(GA_Url.url.like('/dataset/%')).\ filter(GA_Url.url.like('/dataset/%')).\
order_by('ga_url.pageviews::int desc') order_by('ga_url.pageviews::int desc')
num_top_datasets = top_datasets.count() num_top_datasets = top_datasets.count()
   
  dataset = None
if num_top_datasets: if num_top_datasets:
dataset = None count = 0
while not dataset: while not dataset:
rand = random.randrange(0, min(top, num_top_datasets)) rand = random.randrange(0, min(top, num_top_datasets))
ga_url = top_datasets[rand] ga_url = top_datasets[rand]
dataset = model.Package.get(ga_url.url[len('/dataset/'):]) dataset = model.Package.get(ga_url.url[len('/dataset/'):])
if dataset and not dataset.state == 'active': if dataset and not dataset.state == 'active':
dataset = None dataset = None
else: count += 1
  if count > 10:
  break
  if not dataset:
  # fallback
dataset = model.Session.query(model.Package)\ dataset = model.Session.query(model.Package)\
.filter_by(state='active').first() .filter_by(state='active').first()
publisher = dataset.get_groups('publisher')[0] if not dataset:
return { return None
'dataset': dataset, dataset_dict = get_action('package_show')({'model': model,
'publisher': publisher 'session': model.Session,
} 'validate': False},
  {'id':dataset.id})
  return dataset_dict
   
def single_popular_dataset_html(top=20): def single_popular_dataset_html(top=20):
context = single_popular_dataset(top) dataset_dict = single_popular_dataset(top)
  groups = package.get('groups', [])
  publishers = [ g for g in groups if g.get('type') == 'publisher' ]
  publisher = publishers[0] if publishers else {'name':'', 'title': ''}
  context = {
  'dataset': dataset_dict,
  'publisher': publisher_dict
  }
return base.render_snippet('ga_report/ga_popular_single.html', **context) return base.render_snippet('ga_report/ga_popular_single.html', **context)
   
   
def most_popular_datasets(publisher, count=20): def most_popular_datasets(publisher, count=20):
   
if not publisher: if not publisher:
_log.error("No valid publisher passed to 'most_popular_datasets'") _log.error("No valid publisher passed to 'most_popular_datasets'")
return "" return ""
   
results = _datasets_for_publisher(publisher, count) results = _datasets_for_publisher(publisher, count)
   
ctx = { ctx = {
'dataset_count': len(results), 'dataset_count': len(results),
'datasets': results, 'datasets': results,
   
'publisher': publisher 'publisher': publisher
} }
   
return base.render_snippet('ga_report/publisher/popular.html', **ctx) return base.render_snippet('ga_report/publisher/popular.html', **ctx)
   
def _datasets_for_publisher(publisher, count): def _datasets_for_publisher(publisher, count):
datasets = {} datasets = {}
entries = model.Session.query(GA_Url).\ entries = model.Session.query(GA_Url).\
filter(GA_Url.department_id==publisher.name).\ filter(GA_Url.department_id==publisher.name).\
filter(GA_Url.url.like('/dataset/%')).\ filter(GA_Url.url.like('/dataset/%')).\
order_by('ga_url.pageviews::int desc').all() order_by('ga_url.pageviews::int desc').all()
for entry in entries: for entry in entries:
if len(datasets) < count: if len(datasets) < count:
p = model.Package.get(entry.url[len('/dataset/'):]) p = model.Package.get(entry.url[len('/dataset/'):])
if not p in datasets: if not p in datasets:
datasets[p] = {'views':0, 'visits': 0} datasets[p] = {'views':0, 'visits': 0}
datasets[p]['views'] = datasets[p]['views'] + int(entry.pageviews) datasets[p]['views'] = datasets[p]['views'] + int(entry.pageviews)
datasets[p]['visits'] = datasets[p]['visits'] + int(entry.visitors) datasets[p]['visits'] = datasets[p]['visits'] + int(entry.visits)
   
results = [] results = []
for k, v in datasets.iteritems(): for k, v in datasets.iteritems():
results.append((k,v['views'],v['visits'])) results.append((k,v['views'],v['visits']))
   
return sorted(results, key=operator.itemgetter(1), reverse=True) return sorted(results, key=operator.itemgetter(1), reverse=True)
   
<html xmlns:py="http://genshi.edgewall.org/" <html xmlns:py="http://genshi.edgewall.org/"
xmlns:i18n="http://genshi.edgewall.org/i18n" xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip=""> py:strip="">
   
   
<div class="popular_datasets"> <div class="popular_datasets">
<h2>Featured dataset</h2> <h2>Featured dataset</h2>
   
<div class="dataset-summary boxed"> <div class="dataset-summary boxed">
<a class="dataset-header" href="${h.url_for(controller='package', action='read', id=dataset.name)}"> <a class="dataset-header" href="${h.url_for(controller='package', action='read', id=dataset['name'])}">
<h3>${dataset.title}</h3> <h3>${dataset['title']}</h3>
</a> </a>
<h4> <h4>
<strong>Publisher</strong> : <strong>Publisher</strong> :
<a href="/publisher/${publisher.name}">${publisher.title}</a> <a href="/publisher/${publisher['name']}">${publisher['title']}</a>
</h4> </h4>
<div>${h.truncate(dataset.notes, length=200, whole_word=True)}</div> <div>${h.truncate(dataset['notes_rendered'], length=200, whole_word=True)}</div>
</div> </div>
<div> <div>
<a href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}" class="btn">Other popular datasets</a> <a href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}" class="btn">Other popular datasets</a>
<a href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}" class="btn">All usage data</a> <a href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}" class="btn">All usage data</a>
</div> </div>
</div> </div>
   
   
</html> </html>
   
   
   
   
<html <html
xmlns="http://www.w3.org/1999/xhtml" xmlns="http://www.w3.org/1999/xhtml"
xmlns:i18n="http://genshi.edgewall.org/i18n" xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:py="http://genshi.edgewall.org/" xmlns:py="http://genshi.edgewall.org/"
xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip="" py:strip=""
> >
   
  <select name="month" py:def="month_selector(current_month, months, day)">
  <option value='' py:attrs="{'selected': 'selected' if not current_month else None}">All months</option>
  <py:for each="i, (val,desc) in enumerate(months)">
  <option value='${val}' py:attrs="{'selected': 'selected' if current_month == val else None}">${desc}<py:if test="i == 0 and day"> (up to ${day})</py:if></option>
  </py:for>
  </select>
   
   
<table py:def="social_table(items, with_source=False)" class="table table-condensed table-bordered table-striped"> <table py:def="social_table(items, with_source=False)" class="table table-condensed table-bordered table-striped">
<tr> <tr>
<th>Name</th> <th>Name</th>
<th py:if="with_source">Source</th> <th py:if="with_source">Source</th>
<th>Visits</th> <th>Visits</th>
</tr> </tr>
<py:for each="name, url, source, count in items"> <py:for each="name, url, source, count in items">
<tr> <tr>
<td><a href="${url}">${name}</a></td> <td><a href="${url}">${name}</a></td>
<td py:if="with_source">${source}</td> <td py:if="with_source">${source}</td>
<td>${count}</td> <td>${count}</td>
</tr> </tr>
</py:for> </py:for>
</table> </table>
   
   
<table py:def="stat_table(items, title='Views')" class="table table-condensed table-bordered table-striped"> <table py:def="stat_table(items, title='Views')" class="table table-condensed table-bordered table-striped">
<tr> <tr>
<th>Name</th> <th>Name</th>
<th>% ${title}</th> <th>% ${title}</th>
</tr> </tr>
<py:for each="name, value in items"> <py:for each="name, value in items">
<tr> <tr>
<td>${name}</td> <td>${name}</td>
<td>${value}</td> <td>${value}</td>
</tr> </tr>
</py:for> </py:for>
</table> </table>
   
   
<div py:def="usage_nav(active_name)" id="minornavigation"> <div py:def="usage_nav(active_name)" id="minornavigation">
<div id="minornavigation-bg-left"> <div id="minornavigation-bg-left">
<div id="minornavigation-bg-right"> <div id="minornavigation-bg-right">
<ul class="nav nav-pills"> <ul class="nav nav-pills">
<li py:attrs="{'class': 'active' if active_name=='Site-wide' else None}"><a py:attrs="{'class': 'active' if active_name=='Site-wide' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Site-wide</a></li> <li py:attrs="{'class': 'active' if active_name=='Site-wide' else None}"><a py:attrs="{'class': 'active' if active_name=='Site-wide' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Site-wide</a></li>
<li py:attrs="{'class': 'active' if active_name=='Publishers' else None}"> <li py:attrs="{'class': 'active' if active_name=='Publishers' else None}">
<a py:attrs="{'class': 'active' if active_name=='Publishers' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publishers')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Publishers</a> <a py:attrs="{'class': 'active' if active_name=='Publishers' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publishers')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Publishers</a>
</li> </li>
<li py:attrs="{'class': 'active' if active_name=='Datasets' else None}"> <li py:attrs="{'class': 'active' if active_name=='Datasets' else None}">
<a py:attrs="{'class': 'active' if active_name=='Datasets' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Datasets</a> <a py:attrs="{'class': 'active' if active_name=='Datasets' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Datasets</a>
</li> </li>
</ul> </ul>
</div> </div>
</div> </div>
</div> </div>
   
   
</html> </html>
   
<html xmlns:py="http://genshi.edgewall.org/" <html xmlns:py="http://genshi.edgewall.org/"
xmlns:i18n="http://genshi.edgewall.org/i18n" xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip=""> py:strip="">
   
<li class="widget-container boxed widget_text"> <li class="widget-container boxed widget_text">
<h4>Notes</h4> <h4>Notes</h4>
<ul> <ul>
<li>'Views' is the number of sessions during which that page was viewed one or more times ('Unique Pageviews').</li> <li>"Views" is the number of times a page was loaded in users' browsers.</li>
<!-- <li>'Visits' is the number of individual sessions initiated by all the visitors to your site, counted once for each visitor for each session.</li>--> <li>"Visits" is the number of unique user visits to a page, counted once for each visitor for each of their browsing sessions.</li>
<li>'Visitors' is the number of unique users visiting the site (whether once or more times).</li>  
<li>These usage statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.</li> <li>These usage statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.</li>
<li>The results for only small numbers of views/visits are not shown. Where these relate to site pages, then they are available in full in the CSV download. Where these relate to users' web browser information, they are not disclosed, for privacy reasons.</li> <li>The results are not shown when the number of views/visits is tiny. Where these relate to site pages, results are available in full in the CSV download. Where these relate to users' web browser information, results are not disclosed, for privacy reasons.</li>
</ul> </ul>
</li> </li>
</html> </html>
   
<html xmlns:py="http://genshi.edgewall.org/" <html xmlns:py="http://genshi.edgewall.org/"
xmlns:i18n="http://genshi.edgewall.org/i18n" xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip=""> py:strip="">
   
<xi:include href="../ga_util.html" /> <xi:include href="../ga_util.html" />
   
<py:def function="page_title">Usage by Publisher</py:def> <py:def function="page_title">Usage by Publisher</py:def>
   
<py:match path="primarysidebar"> <py:match path="primarysidebar">
<li class="widget-container boxed widget_text"> <li class="widget-container boxed widget_text">
<h4>Download</h4> <h4>Download</h4>
<p><center> <p><center>
<a class="btn button btn-primary" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publisher_csv',month=c.month or 'all')}">Download as CSV</a></center> <a class="btn button btn-primary" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publisher_csv',month=c.month or 'all')}">Download as CSV</a></center>
</p> </p>
</li> </li>
<xi:include href="../notes.html" /> <xi:include href="../notes.html" />
</py:match> </py:match>
   
   
<div py:match="content"> <div py:match="content">
   
<h1>Site Usage</h1> <h1>Site Usage</h1>
   
${usage_nav('Publishers')} ${usage_nav('Publishers')}
   
   
<form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publishers')}" method="get"> <form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publishers')}" method="get">
<div class="controls"> <div class="controls">
<select name="month">  
<option value='' py:attrs="{'selected': 'selected' if not c.month else None}">All months</option>  
   
<py:for each="val,desc in c.months"> ${month_selector(c.month, c.months, c.day)}
<option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option>  
</py:for>  
</select>  
<input class="btn button btn-primary" type='submit' value="Update"/> <input class="btn button btn-primary" type='submit' value="Update"/>
</div> </div>
</form> </form>
   
<table class="table table-condensed table-bordered table-striped"> <table class="table table-condensed table-bordered table-striped">
<tr> <tr>
<th>Publisher</th> <th>Publisher</th>
<th>Dataset Visits</th> <!-- <th>Dataset Visits</th>-->
<th>Dataset Views</th> <th>Dataset Views</th>
</tr> </tr>
<py:for each="publisher, views, visits in c.top_publishers"> <py:for each="publisher, views, visits in c.top_publishers">
<tr> <tr>
<td>${h.link_to(publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport', action='read_publisher', id=publisher.name))} <td>${h.link_to(publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport', action='read_publisher', id=publisher.name))}
</td> </td>
<td>${visits}</td> <!-- <td>${visits}</td> -->
<td>${views}</td> <td>${views}</td>
</tr> </tr>
</py:for> </py:for>
</table> </table>
   
   
</div> </div>
   
<xi:include href="../../layout.html" /> <xi:include href="../../layout.html" />
   
<py:def function="optional_footer"> <py:def function="optional_footer">
<script type='text/javascript'> <script type='text/javascript'>
$('.nav-tabs li a').click(function (e) { $('.nav-tabs li a').click(function (e) {
e.preventDefault(); e.preventDefault();
$(this).tab('show'); $(this).tab('show');
}) })
</script> </script>
</py:def> </py:def>
   
</html> </html>
   
   
<html xmlns:py="http://genshi.edgewall.org/" <html xmlns:py="http://genshi.edgewall.org/"
xmlns:i18n="http://genshi.edgewall.org/i18n" xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip=""> py:strip="">
   
<xi:include href="../ga_util.html" /> <xi:include href="../ga_util.html" />
   
<py:def function="page_title">Usage by Dataset</py:def> <py:def function="page_title">Usage by Dataset</py:def>
   
<py:match path="primarysidebar"> <py:match path="primarysidebar">
<li class="widget-container boxed widget_text"> <li class="widget-container boxed widget_text">
<h4>Download</h4> <h4>Download</h4>
<p><center> <p><center>
<a class="btn button btn-primary" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='dataset_csv',id=c.publisher_name or 'all',month=c.month or 'all')}">Download as CSV</a></center> <a class="btn button btn-primary" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='dataset_csv',id=c.publisher_name or 'all',month=c.month or 'all')}">Download as CSV</a></center>
</p> </p>
</li> </li>
<xi:include href="../notes.html" /> <xi:include href="../notes.html" />
</py:match> </py:match>
   
   
<div py:match="content"> <div py:match="content">
<h1>Site Usage</h1> <h1>Site Usage</h1>
   
${usage_nav('Datasets')} ${usage_nav('Datasets')}
   
<form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}" method="get"> <form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}" method="get">
<div class="controls"> <div class="controls">
<select name="month">  
<option value='' py:attrs="{'selected': 'selected' if not c.month else None}">All months</option> ${month_selector(c.month, c.months, c.day)}
<py:for each="val,desc in c.months">  
<option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option>  
</py:for>  
</select>  
<select name="publisher"> <select name="publisher">
<option value='' py:attrs="{'selected': 'selected' if not c.publisher else None}">All publishers</option> <option value='' py:attrs="{'selected': 'selected' if not c.publisher else None}">All publishers</option>
<py:for each="val,desc in c.publishers"> <py:for each="val,desc in c.publishers">
<option value='${val}' py:attrs="{'selected': 'selected' if c.publisher_name == val else None}">${desc}</option> <option value='${val}' py:attrs="{'selected': 'selected' if c.publisher_name == val else None}">${desc}</option>
</py:for> </py:for>
</select> </select>
<input class="btn button btn-primary" type='submit' value="Update"/> <input class="btn button btn-primary" type='submit' value="Update"/>
</div> </div>
</form> </form>
   
<h3 py:if="c.publisher"><a href="${h.url_for(controller='ckanext.dgu.controllers.publisher:PublisherController',action='read',id=c.publisher.name)}">${c.publisher.title}</a></h3> <h3 py:if="c.publisher"><a href="${h.url_for(controller='ckanext.dgu.controllers.publisher:PublisherController',action='read',id=c.publisher.name)}">${c.publisher.title}</a></h3>
   
<p py:if="not c.top_packages">No page views in this period</p> <p py:if="not c.top_packages">No page views in this period</p>
<table py:if="c.top_packages" class="table table-condensed table-bordered table-striped"> <table py:if="c.top_packages" class="table table-condensed table-bordered table-striped">
<tr> <tr>
<th>Dataset</th> <th>Dataset</th>
<th>Visits</th> <!-- <th>Visits</th> -->
<th>Views</th> <th>Views</th>
</tr> </tr>
<py:for each="package, views, visits in c.top_packages"> <py:for each="package, views, visits in c.top_packages">
<tr> <tr>
<td>${h.link_to(package.title or package.name, h.url_for(controller='package', action='read', id=package.name))} <td>${h.link_to(package.title or package.name, h.url_for(controller='package', action='read', id=package.name))}
</td> </td>
<td>${visits}</td> <!-- <td>${visits}</td> -->
<td>${views}</td> <td>${views}</td>
</tr> </tr>
</py:for> </py:for>
</table> </table>
   
   
</div> </div>
   
<xi:include href="../../layout.html" /> <xi:include href="../../layout.html" />
</html> </html>
   
   
   
   
<html xmlns:py="http://genshi.edgewall.org/" <html xmlns:py="http://genshi.edgewall.org/"
xmlns:i18n="http://genshi.edgewall.org/i18n" xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip=""> py:strip="">
   
<xi:include href="../ga_util.html" /> <xi:include href="../ga_util.html" />
   
<py:def function="page_title">Site usage</py:def> <py:def function="page_title">Site usage</py:def>
   
<py:match path="primarysidebar"> <py:match path="primarysidebar">
<li class="widget-container boxed widget_text"> <li class="widget-container boxed widget_text">
<h4>Download</h4> <h4>Download</h4>
<p><center> <p><center>
<a class="btn button btn-primary" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='csv',month=c.month or 'all')}">Download as CSV</a></center> <a class="btn button btn-primary" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='csv',month=c.month or 'all')}">Download as CSV</a></center>
</p> </p>
</li> </li>
<xi:include href="../notes.html" /> <xi:include href="../notes.html" />
   
</py:match> </py:match>
   
<div py:match="content"> <div py:match="content">
<h1>Site Usage</h1> <h1>Site Usage</h1>
${usage_nav('Site-wide')} ${usage_nav('Site-wide')}
   
<form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}" method="get"> <form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}" method="get">
<div class="controls"> <div class="controls">
<select name="month">  
<option value='' py:attrs="{'selected': 'selected' if not c.month else None}">All months</option>  
   
<py:for each="val,desc in c.months"> ${month_selector(c.month, c.months, c.day)}
<option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option>  
</py:for>  
</select>  
<input class="btn button btn-primary" type='submit' value="Update"/> <input class="btn button btn-primary" type='submit' value="Update"/>
</div> </div>
</form> </form>
   
<div class="tabbable"> <div class="tabbable">
<ul class="nav nav-tabs"> <ul class="nav nav-tabs">
<li class="active"><a href="#totals" data-toggle="tab">Totals</a></li> <li class="active"><a href="#totals" data-toggle="tab">Totals</a></li>
<li class="dropdown"> <li class="dropdown">
<a href="#browsers" class="dropdown-toggle" data-toggle="dropdown">Browsers <a href="#browsers" class="dropdown-toggle" data-toggle="dropdown">Browsers
<b class="caret"></b></a> <b class="caret"></b></a>
<ul class="dropdown-menu"> <ul class="dropdown-menu">
<li><a href="#browsers_names" data-toggle="tab">Browsers</a></li> <li><a href="#browsers_names" data-toggle="tab">Browsers</a></li>
<li><a href="#browsers_versions" data-toggle="tab">Versions</a></li> <li><a href="#browsers_versions" data-toggle="tab">Versions</a></li>
</ul> </ul>
</li> </li>
<li class="dropdown"> <li class="dropdown">
<a href="#browsers" class="dropdown-toggle" data-toggle="dropdown">Operating<br/>Systems <a href="#browsers" class="dropdown-toggle" data-toggle="dropdown">Operating<br/>Systems
<b class="caret"></b></a> <b class="caret"></b></a>
<ul class="dropdown-menu"> <ul class="dropdown-menu">
<li><a href="#os" data-toggle="tab">Operating Systems</a></li> <li><a href="#os" data-toggle="tab">Operating Systems</a></li>
<li><a href="#os_versions" data-toggle="tab">Versions</a></li> <li><a href="#os_versions" data-toggle="tab">Versions</a></li>
</ul> </ul>
</li> </li>
<li class="dropdown"> <li class="dropdown">
<a href="#browsers" class="dropdown-toggle" data-toggle="dropdown">Social Networks <a href="#browsers" class="dropdown-toggle" data-toggle="dropdown">Social Networks
<b class="caret"></b></a> <b class="caret"></b></a>
<ul class="dropdown-menu"> <ul class="dropdown-menu">
<li><a href="#social_networks" data-toggle="tab">All networks</a></li> <li><a href="#social_networks" data-toggle="tab">All networks</a></li>
<li><a href="#social_referrals_totals" data-toggle="tab">Referral links</a></li> <li><a href="#social_referrals_totals" data-toggle="tab">Referral links</a></li>
</ul> </ul>
</li> </li>
   
<li><a href="#social_networks" data-toggle="tab"></a></li> <li><a href="#social_networks" data-toggle="tab"></a></li>
<li><a href="#languages" data-toggle="tab">Languages</a></li> <li><a href="#languages" data-toggle="tab">Languages</a></li>
<li><a href="#country" data-toggle="tab">Country</a></li> <li><a href="#country" data-toggle="tab">Country</a></li>
</ul> </ul>
<div class="tab-content"> <div class="tab-content">
<div class="tab-pane active" id="totals"> <div class="tab-pane active" id="totals">
<table class="table table-condensed table-bordered table-striped"> <table class="table table-condensed table-bordered table-striped">
<tr> <tr>
<th>Name</th> <th>Name</th>
<th>Value</th> <th>Value</th>
</tr> </tr>
<py:for each="name, value in c.global_totals"> <py:for each="name, value in c.global_totals">
<tr> <tr>
<td>${name}</td> <td>${name}</td>
<td>${value}</td> <td>${value}</td>
</tr> </tr>
</py:for> </py:for>
</table> </table>
</div> </div>
<div class="tab-pane" id="browsers_versions"> <div class="tab-pane" id="browsers_versions">
<p>Note: Where a browser has a large number of versions, these have been grouped together.</p> <p>Note: Where a browser has a large number of versions, these have been grouped together.</p>
${stat_table(c.browser_versions)} ${stat_table(c.browser_versions)}
</div> </div>
<div class="tab-pane" id="browsers_names"> <div class="tab-pane" id="browsers_names">
${stat_table(c.browsers)} ${stat_table(c.browsers)}
</div> </div>
<div class="tab-pane" id="os"> <div class="tab-pane" id="os">
${stat_table(c.os)} ${stat_table(c.os)}
</div> </div>
<div class="tab-pane" id="os_versions"> <div class="tab-pane" id="os_versions">
${stat_table(c.os_versions)} ${stat_table(c.os_versions)}
</div> </div>
<div class="tab-pane" id="social_referrals_totals"> <div class="tab-pane" id="social_referrals_totals">
<p>Number of visits that were referred from social networks</p> <p>Number of visits that were referred from social networks</p>
${social_table(c.social_referrer_totals)} ${social_table(c.social_referrer_totals)}
</div> </div>
<div class="tab-pane" id="social_networks"> <div class="tab-pane" id="social_networks">
<p>Percentage of visits that were referred from these social networks</p> <p>Percentage of visits that were referred from these social networks</p>
   
${stat_table(c.social_networks, 'Visits')} ${stat_table(c.social_networks, 'Visits')}
</div> </div>
<div class="tab-pane" id="languages"> <div class="tab-pane" id="languages">
${stat_table(c.languages)} ${stat_table(c.languages)}
</div> </div>
<div class="tab-pane" id="country"> <div class="tab-pane" id="country">
${stat_table(c.country)} ${stat_table(c.country)}
</div> </div>
   
   
</div> </div>
</div> </div>
   
   
   
</div> </div>
   
<xi:include href="../../layout.html" /> <xi:include href="../../layout.html" />
   
<py:def function="optional_footer"> <py:def function="optional_footer">
<script type='text/javascript'> <script type='text/javascript'>
$('.dropdown-toggle').dropdown(); $('.dropdown-toggle').dropdown();
$('.nav-tabs li a').click(function (e) { $('.nav-tabs li a').click(function (e) {
e.preventDefault(); e.preventDefault();
$(this).tab('show'); $(this).tab('show');
}) })
alert(window.location.hash); alert(window.location.hash);
</script> </script>
</py:def> </py:def>
</html> </html>
   
   
   
   
  from nose.tools import assert_equal
 
  from ckanext.ga_report.ga_model import _normalize_url
 
  class TestNormalizeUrl:
  def test_normal(self):
  assert_equal(_normalize_url('http://data.gov.uk/dataset/weekly_fuel_prices'),
  '/dataset/weekly_fuel_prices')
 
  def test_www_dot(self):
  assert_equal(_normalize_url('http://www.data.gov.uk/dataset/weekly_fuel_prices'),
  '/dataset/weekly_fuel_prices')
 
  def test_https(self):
  assert_equal(_normalize_url('https://data.gov.uk/dataset/weekly_fuel_prices'),
  '/dataset/weekly_fuel_prices')