Changes to support % of bounces from /
Changes to support % of bounces from /

file:a/README.rst -> file:b/README.rst
--- a/README.rst
+++ b/README.rst
@@ -26,13 +26,17 @@
 1. Activate you CKAN python environment and install this extension's software::
 
     $ pyenv/bin/activate
-    $ pip install -e  git+https://github.com/okfn/ckanext-ga-report.git#egg=ckanext-ga-report
+    $ pip install -e  git+https://github.com/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::
 
       googleanalytics.id = UA-1010101-1
       googleanalytics.account = Account name (i.e. data.gov.uk, see top level item at https://www.google.com/analytics)
       ga-report.period = monthly
+      ga-report.bounce_url = /data
+
+   The ga-report.bounce_url specifies the path to use when calculating bounces. For DGU this is /data
+   but you may want to set this to /.
 
    Note that your credentials will be readable by system administrators on your server. Rather than use sensitive account details, it is suggested you give access to the GA account to a new Google account that you create just for this purpose.
 

--- a/ckanext/ga_report/command.py
+++ b/ckanext/ga_report/command.py
@@ -66,8 +66,7 @@
     And where <time-period> is:
         all         - data for all time
         latest      - (default) just the 'latest' data
-        YYYY-MM-DD  - just data for all time periods going
-                      back to (and including) this date
+        YYYY-MM     - just data for the specific month
     """
     summary = __doc__.split('\n')[0]
     usage = __doc__
@@ -96,6 +95,7 @@
         elif time_period == 'latest':
             downloader.latest()
         else:
-            since_date = datetime.datetime.strptime(time_period, '%Y-%m-%d')
-            downloader.since_date(since_date)
+            # The month to use
+            for_date = datetime.datetime.strptime(time_period, '%Y-%m')
+            downloader.specific_month(for_date)
 

--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -1,10 +1,350 @@
+import re
+import csv
+import sys
 import logging
-from ckan.lib.base import BaseController, c, render
-import report_model
+import operator
+import collections
+from ckan.lib.base import (BaseController, c, g, render, request, response, abort)
+
+import sqlalchemy
+from sqlalchemy import func, cast, Integer
+import ckan.model as model
+from ga_model import GA_Url, GA_Stat, GA_ReferralStat
 
 log = logging.getLogger('ckanext.ga-report')
 
+
+def _get_month_name(strdate):
+    import calendar
+    from time import strptime
+    d = strptime(strdate, '%Y-%m')
+    return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
+
+
+def _month_details(cls):
+    months = []
+    vals = model.Session.query(cls.period_name).distinct().all()
+    for m in vals:
+        months.append( (m[0], _get_month_name(m[0])))
+    return sorted(months, key=operator.itemgetter(0), reverse=True)
+
+
 class GaReport(BaseController):
+
+    def csv(self, month):
+        import csv
+
+        q = model.Session.query(GA_Stat)
+        if month != 'all':
+            q = q.filter(GA_Stat.period_name==month)
+        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-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,))
+
+        writer = csv.writer(response)
+        writer.writerow(["Period", "Statistic", "Key", "Value"])
+
+        for entry in entries:
+            writer.writerow([entry.period_name.encode('utf-8'),
+                             entry.stat_name.encode('utf-8'),
+                             entry.key.encode('utf-8'),
+                             entry.value.encode('utf-8')])
+
     def index(self):
-        return render('index.html')
-
+
+        # Get the month details by fetching distinct values and determining the
+        # month names from the values.
+        c.months = _month_details(GA_Stat)
+
+        # Work out which month to show, based on query params of the first item
+        c.month_desc = 'all months'
+        c.month = request.params.get('month', '')
+        if c.month:
+            c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
+
+        q = model.Session.query(GA_Stat).\
+            filter(GA_Stat.stat_name=='Totals')
+        if c.month:
+            q = q.filter(GA_Stat.period_name==c.month)
+        entries = q.order_by('ga_stat.key').all()
+
+        def clean_key(key, val):
+            if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounces']:
+                val =  "%.2f" % round(float(val), 2)
+                if key == 'Average time on site':
+                    mins, secs = divmod(float(val), 60)
+                    hours, mins = divmod(mins, 60)
+                    val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val)
+                if key in ['New visits','Bounces']:
+                    val = "%s%%" % val
+            if key in ['Total page views', 'Total visits']:
+                val = int(val)
+
+            return key, val
+
+        c.global_totals = []
+        if c.month:
+            for e in entries:
+                key, val = clean_key(e.key, e.value)
+                c.global_totals.append((key, val))
+        else:
+            d = collections.defaultdict(list)
+            for e in entries:
+                d[e.key].append(float(e.value))
+            for k, v in d.iteritems():
+                if k in ['Total page views', 'Total visits']:
+                    v = sum(v)
+                else:
+                    v = float(sum(v))/len(v)
+                key, val = clean_key(k,v)
+
+                c.global_totals.append((key, val))
+                c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
+
+        keys = {
+            'Browser versions': 'browser_versions',
+            'Browsers': 'browsers',
+            'Operating Systems versions': 'os_versions',
+            'Operating Systems': 'os',
+            'Social sources': 'social_networks',
+            'Languages': 'languages',
+            'Country': 'country'
+        }
+
+        def shorten_name(name, length=60):
+            return (name[:length] + '..') if len(name) > 60 else name
+
+        def fill_out_url(url):
+            import urlparse
+            return urlparse.urljoin(g.site_url, url)
+
+        c.social_referrer_totals, c.social_referrers = [], []
+        q = model.Session.query(GA_ReferralStat)
+        q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q
+        q = q.order_by('ga_referrer.count::int desc')
+        for entry in q.all():
+            c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url),
+                                       entry.source,entry.count))
+
+        q = model.Session.query(GA_ReferralStat.url,
+                                func.sum(GA_ReferralStat.count).label('count'))
+        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)
+        for entry in q.all():
+            c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'',
+                                            entry[1]))
+
+
+        browser_version_re = re.compile("(.*)\((.*)\)")
+        for k, v in keys.iteritems():
+
+            def clean_field(key):
+                if k != 'Browser versions':
+                    return key
+                m = browser_version_re.match(key)
+                browser = m.groups()[0].strip()
+                ver = m.groups()[1]
+                parts = ver.split('.')
+                if len(parts) > 1:
+                    if parts[1][0] == '0':
+                        ver = parts[0]
+                    else:
+                        ver = "%s.%s" % (parts[0],parts[1])
+                if browser in ['Safari','Android Browser']:  # Special case complex version nums
+                    ver = parts[0]
+                    if len(ver) > 2:
+                        ver = "%s%sX" % (ver[0], ver[1])
+
+                return "%s (%s)" % (browser, ver,)
+
+            q = model.Session.query(GA_Stat).\
+                filter(GA_Stat.stat_name==k)
+            if c.month:
+                entries = []
+                q = q.filter(GA_Stat.period_name==c.month).\
+                          order_by('ga_stat.value::int desc')
+
+            d = collections.defaultdict(int)
+            for e in q.all():
+                d[clean_field(e.key)] += int(e.value)
+            entries = []
+            for key, val in d.iteritems():
+                entries.append((key,val,))
+            entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
+
+            # Get the total for each set of values and then set the value as
+            # a percentage of the total
+            if k == 'Social sources':
+                total = sum([x for n,x in c.global_totals if n == 'Total visits'])
+            else:
+                total = sum([num for _,num in entries])
+            setattr(c, v, [(k,_percent(v,total)) for k,v in entries ])
+
+        return render('ga_report/site/index.html')
+
+
+class GaPublisherReport(BaseController):
+    """
+    Displays the pageview and visit count for specific publishers based on
+    the datasets associated with the publisher.
+    """
+    def csv(self, month):
+
+        c.month = month if not month =='all' else ''
+        response.headers['Content-Type'] = "text/csv; charset=utf-8"
+        response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,))
+
+        writer = csv.writer(response)
+        writer.writerow(["Publisher", "Views", "Visits", "Period Name"])
+
+        for publisher,view,visit in _get_publishers(None):
+            writer.writerow([publisher.title.encode('utf-8'),
+                             view,
+                             visit,
+                             month])
+
+
+
+    def publisher_csv(self, id, month):
+
+        c.month = month if not month =='all' else ''
+        c.publisher = model.Group.get(id)
+        if not c.publisher:
+            abort(404, 'A publisher with that name could not be found')
+
+        packages = self._get_packages(c.publisher)
+        response.headers['Content-Type'] = "text/csv; charset=utf-8"
+        response.headers['Content-Disposition'] = \
+            str('attachment; filename=%s_%s.csv' % (c.publisher.name, month,))
+
+        writer = csv.writer(response)
+        writer.writerow(["Publisher", "Views", "Visits", "Period Name"])
+
+        for package,view,visit in packages:
+            writer.writerow([package.title.encode('utf-8'),
+                             view,
+                             visit,
+                             month])
+
+
+
+    def index(self):
+
+        # Get the month details by fetching distinct values and determining the
+        # month names from the values.
+        c.months = _month_details(GA_Url)
+
+        # Work out which month to show, based on query params of the first item
+        c.month = request.params.get('month', '')
+        c.month_desc = 'all months'
+        if c.month:
+            c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
+
+        c.top_publishers = _get_publishers()
+
+        return render('ga_report/publisher/index.html')
+
+
+    def _get_packages(self, publisher, count=-1):
+        if count == -1:
+            count = sys.maxint
+
+        top_packages = []
+        q =  model.Session.query(GA_Url).\
+            filter(GA_Url.department_id==publisher.name).\
+            filter(GA_Url.url.like('/dataset/%'))
+        if c.month:
+            q = q.filter(GA_Url.period_name==c.month)
+        q = q.order_by('ga_url.pageviews::int desc')
+
+        if c.month:
+            for entry in q[:count]:
+                p = model.Package.get(entry.url[len('/dataset/'):])
+                top_packages.append((p,entry.pageviews,entry.visitors))
+        else:
+            ds = {}
+            for entry in q.all():
+                if len(ds) >= count:
+                    break
+                p = model.Package.get(entry.url[len('/dataset/'):])
+                if not p in ds:
+                    ds[p] = {'views':0, 'visits': 0}
+                ds[p]['views'] = ds[p]['views'] + int(entry.pageviews)
+                ds[p]['visits'] = ds[p]['visits'] + int(entry.visitors)
+
+            results = []
+            for k, v in ds.iteritems():
+                results.append((k,v['views'],v['visits']))
+
+            top_packages = sorted(results, key=operator.itemgetter(1), reverse=True)
+        return top_packages
+
+
+    def read(self, id):
+        count = 20
+
+        c.publisher = model.Group.get(id)
+        if not c.publisher:
+            abort(404, 'A publisher with that name could not be found')
+        c.top_packages = [] # package, dataset_views in c.top_packages
+
+        # Get the month details by fetching distinct values and determining the
+        # month names from the values.
+        c.months = _month_details(GA_Url)
+
+        # Work out which month to show, based on query params of the first item
+        c.month = request.params.get('month', '')
+        if not c.month:
+            c.month_desc = 'all months'
+        else:
+            c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
+
+        c.publisher_page_views = 0
+        q = model.Session.query(GA_Url).\
+            filter(GA_Url.url=='/publisher/%s' % c.publisher.name)
+        if c.month:
+            entry = q.filter(GA_Url.period_name==c.month).first()
+            c.publisher_page_views = entry.pageviews if entry else 0
+        else:
+            for e in q.all():
+                c.publisher_page_views = c.publisher_page_views  + int(e.pageviews)
+
+        c.top_packages = self._get_packages(c.publisher, 20)
+
+        return render('ga_report/publisher/read.html')
+
+def _get_publishers(limit=20):
+    connection = model.Session.connection()
+    q = """
+        select department_id, sum(pageviews::int) views, sum(visitors::int) visits
+        from ga_url
+        where department_id <> ''"""
+    if c.month:
+        q = q + """
+                and period_name=%s
+        """
+    q = q + """
+            group by department_id order by views desc
+        """
+    if limit:
+        q = q + " limit %s;" % (limit)
+
+    # Add this back (before and period_name =%s) if you want to ignore publisher
+    # homepage views
+    # and not url like '/publisher/%%'
+
+    top_publishers = []
+    res = connection.execute(q, c.month)
+
+    for row in res:
+        g = model.Group.get(row[0])
+        if g:
+            top_publishers.append((g, row[1], row[2]))
+    return top_publishers
+
+
+def _percent(num, total):
+    p = 100 * float(num)/float(total)
+    return "%.2f%%" % round(p, 2)
+

--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -1,6 +1,7 @@
+import os
 import logging
 import datetime
-
+import collections
 from pylons import config
 
 import ga_model
@@ -20,8 +21,17 @@
         self.profile_id = profile_id
 
 
-    def all_(self):
-        self.since_date(datetime.datetime(2010, 1, 1))
+    def specific_month(self, date):
+        import calendar
+
+        first_of_this_month = datetime.datetime(date.year, date.month, 1)
+        _, 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)
+        periods = ((date.strftime(FORMAT_MONTH),
+                    last_day_of_month,
+                    first_of_this_month, last_of_this_month),)
+        self.download_and_store(periods)
+
 
     def latest(self):
         if self.period == 'monthly':
@@ -36,13 +46,13 @@
         self.download_and_store(periods)
 
 
-    def since_date(self, since_date):
+    def for_date(self, for_date):
         assert isinstance(since_date, datetime.datetime)
         periods = [] # (period_name, period_complete_day, start_date, end_date)
         if self.period == 'monthly':
             first_of_the_months_until_now = []
-            year = since_date.year
-            month = since_date.month
+            year = for_date.year
+            month = for_date.month
             now = datetime.datetime.now()
             first_of_this_month = datetime.datetime(now.year, now.month, 1)
             while True:
@@ -84,18 +94,54 @@
                      self.get_full_period_name(period_name, period_complete_day),
                      start_date.strftime('%Y %m %d'),
                      end_date.strftime('%Y %m %d'))
-            data = self.download(start_date, end_date)
-            log.info('Storing Analytics for period "%s"',
+
+            data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+')
+            log.info('Storing Dataset Analytics for period "%s"',
                      self.get_full_period_name(period_name, period_complete_day))
-            self.store(period_name, period_complete_day, data)
-
-
-    def download(self, start_date, end_date):
+            self.store(period_name, period_complete_day, data, )
+
+            data = self.download(start_date, end_date, '~/publisher/[a-z0-9-_]+')
+            log.info('Storing Publisher Analytics for period "%s"',
+                     self.get_full_period_name(period_name, period_complete_day))
+            self.store(period_name, period_complete_day, data,)
+
+            ga_model.update_publisher_stats(period_name) # about 30 seconds.
+            self.sitewide_stats( period_name )
+
+            self.update_social_info(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')
+        end_date = end_date.strftime('%Y-%m-%d')
+        query = 'ga:hasSocialSourceReferral=~Yes$'
+        metrics = 'ga:entrances'
+        sort = '-ga:entrances'
+
+        # Supported query params at
+        # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 filters=query,
+                                 start_date=start_date,
+                                 metrics=metrics,
+                                 sort=sort,
+                                 dimensions="ga:landingPagePath,ga:socialNetwork",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        data = collections.defaultdict(list)
+        rows = results.get('rows',[])
+        for row in rows:
+            from ga_model import _normalize_url
+            data[_normalize_url(row[0])].append( (row[1], int(row[2]),) )
+        ga_model.update_social(period_name, data)
+
+
+    def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'):
         '''Get data from GA for a given time period'''
         start_date = start_date.strftime('%Y-%m-%d')
         end_date = end_date.strftime('%Y-%m-%d')
-        query = 'ga:pagePath=~/dataset/[a-z0-9-]+$'
-        metrics = 'ga:uniquePageviews'
+        query = 'ga:pagePath=%s$' % path
+        metrics = 'ga:uniquePageviews, ga:visitors'
         sort = '-ga:uniquePageviews'
 
         # Supported query params at
@@ -110,18 +156,195 @@
                                  max_results=10000,
                                  end_date=end_date).execute()
 
-
-        import pprint
-        pprint.pprint(results)
-        print 'Total results: %s' % results.get('totalResults')
-
         packages = []
         for entry in results.get('rows'):
-            (loc,size,) = entry
-            packages.append( ('http:/' + loc,size, '',) ) # Temporary hack
+            (loc,pageviews,visits) = entry
+            packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack
         return dict(url=packages)
 
     def store(self, period_name, period_complete_day, data):
         if 'url' in data:
             ga_model.update_url_stats(period_name, period_complete_day, data['url'])
 
+    def sitewide_stats(self, period_name):
+        import calendar
+        year, month = period_name.split('-')
+        _, last_day_of_month = calendar.monthrange(int(year), int(month))
+
+        start_date = '%s-01' % period_name
+        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',
+                 '_locale_stats', '_browser_stats', '_mobile_stats']
+        for f in funcs:
+            print ' + Fetching %s stats' % f.split('_')[1]
+            getattr(self, f)(start_date, end_date, period_name)
+
+    def _get_results(result_data, f):
+        data = {}
+        for result in result_data:
+            key = f(result)
+            data[key] = data.get(key,0) + result[1]
+        return data
+
+    def _totals_stats(self, start_date, end_date, period_name):
+        """ Fetches distinct totals, total pageviews etc """
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:uniquePageviews',
+                                 sort='-ga:uniquePageviews',
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]})
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visitors',
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        data = {
+            'Pages per visit': result_data[0][0],
+            'Average time on site': result_data[0][1],
+            'New visits': result_data[0][2],
+            'Total visits': result_data[0][3],
+        }
+        ga_model.update_sitewide_stats(period_name, "Totals", data)
+
+        # Bounces from /data. This url is specified in configuration because
+        # for DGU we don't want /.
+        path = config.get('ga-report.bounce_url','/')
+        print path
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 filters='ga:pagePath=~%s$' % (path,),
+                                 start_date=start_date,
+                                 metrics='ga:bounces,ga:uniquePageviews',
+                                 dimensions='ga:pagePath',
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        for results in result_data:
+            if results[0] == path:
+                bounce, total = [float(x) for x in results[1:]]
+                pct = 100 * bounce/total
+                print "%d bounces from %d total == %s" % (bounce, total, pct)
+                ga_model.update_sitewide_stats(period_name, "Totals", {'Bounces': pct})
+
+
+    def _locale_stats(self, start_date, end_date, period_name):
+        """ Fetches stats about language and country """
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:uniquePageviews',
+                                 sort='-ga:uniquePageviews',
+                                 dimensions="ga:language,ga:country",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        data = {}
+        for result in result_data:
+            data[result[0]] = data.get(result[0], 0) + int(result[2])
+        ga_model.update_sitewide_stats(period_name, "Languages", data)
+
+        data = {}
+        for result in result_data:
+            data[result[1]] = data.get(result[1], 0) + int(result[2])
+        ga_model.update_sitewide_stats(period_name, "Country", data)
+
+
+    def _social_stats(self, start_date, end_date, period_name):
+        """ Finds out which social sites people are referred from """
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:uniquePageviews',
+                                 sort='-ga:uniquePageviews',
+                                 dimensions="ga:socialNetwork,ga:referralPath",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        twitter_links = []
+        data = {}
+        for result in result_data:
+            if not result[0] == '(not set)':
+                data[result[0]] = data.get(result[0], 0) + int(result[2])
+                if result[0] == 'Twitter':
+                    twitter_links.append(result[1])
+        ga_model.update_sitewide_stats(period_name, "Social sources", data)
+
+
+    def _os_stats(self, start_date, end_date, period_name):
+        """ Operating system stats """
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:uniquePageviews',
+                                 sort='-ga:uniquePageviews',
+                                 dimensions="ga:operatingSystem,ga:operatingSystemVersion",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        data = {}
+        for result in result_data:
+            data[result[0]] = data.get(result[0], 0) + int(result[2])
+        ga_model.update_sitewide_stats(period_name, "Operating Systems", data)
+
+        data = {}
+        for result in result_data:
+            key = "%s (%s)" % (result[0],result[1])
+            data[key] = result[2]
+        ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data)
+
+
+    def _browser_stats(self, start_date, end_date, period_name):
+        """ Information about browsers and browser versions """
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:uniquePageviews',
+                                 sort='-ga:uniquePageviews',
+                                 dimensions="ga:browser,ga:browserVersion",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        data = {}
+        for result in result_data:
+            data[result[0]] = data.get(result[0], 0) + int(result[2])
+        ga_model.update_sitewide_stats(period_name, "Browsers", data)
+
+        data = {}
+        for result in result_data:
+            key = "%s (%s)" % (result[0], result[1])
+            data[key] = result[2]
+        ga_model.update_sitewide_stats(period_name, "Browser versions", data)
+
+
+    def _mobile_stats(self, start_date, end_date, period_name):
+        """ Info about mobile devices """
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:uniquePageviews',
+                                 sort='-ga:uniquePageviews',
+                                 dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+
+        result_data = results.get('rows')
+        data = {}
+        for result in result_data:
+            data[result[0]] = data.get(result[0], 0) + int(result[2])
+        ga_model.update_sitewide_stats(period_name, "Mobile brands", data)
+
+        data = {}
+        for result in result_data:
+            data[result[1]] = data.get(result[1], 0) + int(result[2])
+        ga_model.update_sitewide_stats(period_name, "Mobile devices", data)
+

--- a/ckanext/ga_report/ga_model.py
+++ b/ckanext/ga_report/ga_model.py
@@ -13,6 +13,8 @@
 def make_uuid():
     return unicode(uuid.uuid4())
 
+metadata = MetaData()
+
 
 
 class GA_Url(object):
@@ -21,19 +23,71 @@
         for k,v in kwargs.items():
             setattr(self, k, v)
 
-
-metadata = MetaData()
 url_table = Table('ga_url', metadata,
                       Column('id', types.UnicodeText, primary_key=True,
                              default=make_uuid),
                       Column('period_name', types.UnicodeText),
                       Column('period_complete_day', types.Integer),
-                      Column('metric', types.UnicodeText),
-                      Column('value', types.UnicodeText),
+                      Column('pageviews', types.UnicodeText),
+                      Column('visitors', types.UnicodeText),
                       Column('url', types.UnicodeText),
                       Column('department_id', types.UnicodeText),
                 )
 mapper(GA_Url, url_table)
+
+
+class GA_Stat(object):
+
+    def __init__(self, **kwargs):
+        for k,v in kwargs.items():
+            setattr(self, k, v)
+
+stat_table = Table('ga_stat', metadata,
+                  Column('id', types.UnicodeText, primary_key=True,
+                         default=make_uuid),
+                  Column('period_name', types.UnicodeText),
+                  Column('stat_name', types.UnicodeText),
+                  Column('key', types.UnicodeText),
+                  Column('value', types.UnicodeText), )
+mapper(GA_Stat, stat_table)
+
+
+class GA_Publisher(object):
+
+    def __init__(self, **kwargs):
+        for k,v in kwargs.items():
+            setattr(self, k, v)
+
+pub_table = Table('ga_publisher', metadata,
+                  Column('id', types.UnicodeText, primary_key=True,
+                         default=make_uuid),
+                  Column('period_name', types.UnicodeText),
+                  Column('publisher_name', types.UnicodeText),
+                  Column('views', types.UnicodeText),
+                  Column('visitors', types.UnicodeText),
+                  Column('toplevel', types.Boolean, default=False),
+                  Column('subpublishercount', types.Integer, default=0),
+                  Column('parent', types.UnicodeTe