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
--- a/README.rst
+++ b/README.rst
@@ -26,15 +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)
+      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.bounce_url = /
 
-   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.
+   The ga-report.bounce_url specifies a particular path to record the bounce rate for. Typically it is / (the home page).
 
 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)::
 
@@ -43,6 +45,12 @@
 4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``::
 
     ckan.plugins = ga-report
+
+Problem shooting
+----------------
+
+* ``(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.
 
 
 Authorization
@@ -75,13 +83,17 @@
 
     $ 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
 --------
 
-Download some GA data and store it in CKAN's db. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file) and specifying the name of your auth file (token.dat by default) from the previous step::
+Download some GA data and store it in CKAN's 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
 

--- a/ckanext/ga_report/command.py
+++ b/ckanext/ga_report/command.py
@@ -1,5 +1,8 @@
 import logging
 import datetime
+import os
+
+from pylons import config
 
 from ckan.lib.cli import CkanCommand
 # No other CKAN imports allowed until _load_config is run,
@@ -58,21 +61,30 @@
     """Get data from Google Analytics API and save it
     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
-    the getauthtoken step.
-
-    And where <time-period> is:
+    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__
-    max_args = 2
-    min_args = 1
+    max_args = 1
+    min_args = 0
+
+    def __init__(self, name):
+        super(LoadAnalytics, self).__init__(name)
+        self.parser.add_option('-d', '--delete-first',
+                               action='store_true',
+                               default=False,
+                               dest='delete_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):
         self._load_config()
@@ -80,22 +92,31 @@
         from download_analytics import DownloadAnalytics
         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:
-            svc = init_service(self.args[0], None)
+            svc = init_service(ga_token_filepath, None)
         except TypeError:
             print ('Have you correctly run the getauthtoken task and '
-                   'specified the correct file here')
+                   'specified the correct token file in the CKAN config under '
+                   '"googleanalytics.token.filepath"?')
             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,
+                                       skip_url_stats=self.options.skip_url_stats)
 
-        time_period = self.args[1] if self.args and len(self.args) > 1 \
-            else 'latest'
+        time_period = self.args[0] if self.args else 'latest'
         if time_period == 'all':
             downloader.all_()
         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
@@ -1,62 +1,362 @@
+import re
+import csv
+import sys
 import logging
 import operator
-from ckan.lib.base import BaseController, c, render,request
-
+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
+from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher
 
 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):
+    '''
+    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 = []
+    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:
+        months.append( (m[0], _get_month_name(m[0])))
+
+    return months, day
+
+
 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('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 _get_month_name(self, str):
-        import calendar
-        from time import strptime
-        d = strptime('2012-10', '%Y-%m')
-        return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
-
-
-    def index(self, id):
-        c.publisher = model.Group.get(id)
-        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 = []
-        vals = model.Session.query(GA_Url.period_name).distinct().all()
-        for m in vals:
-            c.months.append( (m[0],self._get_month_name(m)))
-
-        # Sort the months, so most recent is at the head of our list
-        c.months = sorted(c.months, key=operator.itemgetter(0), reverse=True)
+        c.months, c.day = _month_details(GA_Stat)
 
         # Work out which month to show, based on query params of the first item
-        c.month = request.params.get('month', c.months[0][0] if c.months else '')
-        c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
-
-        entry = model.Session.query(GA_Url).\
-            filter(GA_Url.url=='/publisher/%s' % c.publisher.name).\
-            filter(GA_Url.period_name==c.month).first()
+        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', 'Bounce rate (home page)']:
+                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','Bounce rate (home page)']:
+                    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]))
+
+        for k, v in keys.iteritems():
+            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[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 GaDatasetReport(BaseController):
+    """
+    Displays the pageview and visit count for datasets
+    with options to filter by publisher and time period.
+    """
+    def publisher_csv(self, month):
+        '''
+        Returns a CSV of each publisher with the total number of dataset
+        views & visits.
+        '''
+        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 Title", "Publisher Name", "Views", "Visits", "Period Name"])
+
+        for publisher,view,visit in _get_top_publishers(None):
+            writer.writerow([publisher.title.encode('utf-8'),
+                             publisher.name.encode('utf-8'),
+                             view,
+                             visit,
+                             month])
+
+    def dataset_csv(self, id='all', month='all'):
+        '''
+        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 month: The time period, or 'all'
+        '''
+        c.month = month if not month == 'all' else ''
+        if id != 'all':
+            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=datasets_%s_%s.csv' % (c.publisher_name, month,))
+
+        writer = csv.writer(response)
+        writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"])
+
+        for package,view,visit in packages:
+            writer.writerow([package.title.encode('utf-8'),
+                             package.name.encode('utf-8'),
+                             view,
+                             visit,
+                             month])
+
+    def publishers(self):
+        '''A list of publishers and the number of views/visits for each'''
+
+        # Get the month details by fetching distinct values and determining the
+        # month names from the values.
+        c.months, c.day = _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_top_publishers()
+        return render('ga_report/publisher/index.html')
+
+    def _get_packages(self, publisher=None, count=-1):
+        '''Returns the datasets in order of views'''
+        if count == -1:
+            count = sys.maxint
+
+        month = c.month or 'All'
+
+        q = model.Session.query(GA_Url,model.Package)\
+            .filter(model.Package.name==GA_Url.package_id)\
+            .filter(GA_Url.url.like('/dataset/%'))
+        if publisher:
+            q = q.filter(GA_Url.department_id==publisher.name)
+        q = q.filter(GA_Url.period_name==month)
+        q = q.order_by('ga_url.pageviews::int desc')
+        top_packages = []
+        for entry,package in q.limit(count):
+            if package:
+                top_packages.append((package, entry.pageviews, entry.visits))
+            else:
+                log.warning('Could not find package associated package')
+
+        return top_packages
+
+    def read(self):
+        '''
+        Lists the most popular datasets across all publishers
+        '''
+        return self.read_publisher(None)
+
+    def read_publisher(self, id):
+        '''
+        Lists the most popular datasets for a publisher (or across all publishers)
+        '''
+        count = 20
+
+        c.publishers = _get_publishers()
+
+        id = request.params.get('publisher', id)
+        if id and id != 'all':
+            c.publisher = model.Group.get(id)
+            if not c.publisher:
+                abort(404, 'A publisher with that name could not be found')
+            c.publisher_name = c.publisher.name
+        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, c.day = _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])
+
+        month = c.month or 'All'
+        c.publisher_page_views = 0
+        q = model.Session.query(GA_Url).\
+            filter(GA_Url.url=='/publisher/%s' % c.publisher_name)
+        entry = q.filter(GA_Url.period_name==c.month).first()
         c.publisher_page_views = entry.pageviews if entry else 0
 
-        entries = model.Session.query(GA_Url).\
-            filter(GA_Url.department_id==c.publisher.name).\
-            filter(GA_Url.period_name==c.month).\
-            order_by('ga_url.pageviews desc')[:10]
-        for entry in entries:
-            if entry.url.startswith('/dataset/'):
-                p = model.Package.get(entry.url[len('/dataset/'):])
-                c.top_packages.append((p,entry.pageviews,entry.visitors))
-
-        return render('ga_report/publisher/index.html')
-
+        c.top_packages = self._get_packages(c.publisher, 20)
+
+        return render('ga_report/publisher/read.html')
+
+def _get_top_publishers(limit=20):
+    '''
+    Returns a list of the top 20 publishers by dataset visits.
+    (The number to show can be varied with 'limit')
+    '''
+    month = c.month or 'All'
+    connection = model.Session.connection()
+    q = """
+        select department_id, sum(pageviews::int) views, sum(visits::int) visits
+        from ga_url
+        where department_id <> ''
+          and package_id <> ''
+          and url like '/dataset/%%'
+          and period_name=%s
+        group by department_id order by views desc
+        """
+    if limit:
+        q = q + " limit %s;" % (limit)
+
+    top_publishers = []
+    res = connection.execute(q, 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 _get_publishers():
+    '''
+    Returns a list of all publishers. Each item is a tuple:
+      (name, title)
+    '''
+    publishers = []
+    for pub in model.Session.query(model.Group).\
+               filter(model.Group.type=='publisher').\
+               filter(model.Group.state=='active').\
+               order_by(model.Group.name):
+        publishers.append((pub.name, pub.title))
+    return 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
@@ -1,9 +1,9 @@
 import os
 import logging
 import datetime
-
+import collections
 from pylons import config
-
+from ga_model import _normalize_url
 import ga_model
 
 #from ga_client import GA
@@ -11,18 +11,31 @@
 log = logging.getLogger('ckanext.ga-report')
 
 FORMAT_MONTH = '%Y-%m'
+MIN_VIEWS = 50
+MIN_VISITS = 20
 
 class DownloadAnalytics(object):
     '''Downloads and stores analytics info'''
 
-    def __init__(self, service=None, profile_id=None):
+    def __init__(self, service=None, profile_id=None, delete_first=False,
+                 skip_url_stats=False):
         self.period = config['ga-report.period']
         self.service = service
         self.profile_id = profile_id
-
-
-    def all_(self):
-        self.since_date(datetime.datetime(2010, 1, 1))
+        self.delete_first = delete_first
+        self.skip_url_stats = skip_url_stats
+
+    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':
@@ -37,13 +50,13 @@
         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:
@@ -81,32 +94,76 @@
 
     def download_and_store(self, periods):
         for period_name, period_complete_day, start_date, end_date in periods:
-            log.info('Downloading Analytics for period "%s" (%s - %s)',
+            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'))
-            """
-            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, )
-
-            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 )
-
-
-    def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'):
+                     start_date.strftime('%Y-%m-%d'),
+                     end_date.strftime('%Y-%m-%d'))
+
+            if self.delete_first:
+                log.info('Deleting existing Analytics for this period "%s"',
+                         period_name)
+                ga_model.delete(period_name)
+
+            if not self.skip_url_stats:
+                # Clean out old url data before storing the new
+                ga_model.pre_update_url_stats(period_name)
+
+                accountName = config.get('googleanalytics.account')
+
+                log.info('Downloading analytics for dataset views')
+                data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName)
+
+                log.info('Storing dataset views (%i rows)', len(data.get('url')))
+                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)
+
+                log.info('Storing publisher views (%i rows)', len(data.get('url')))
+                self.store(period_name, period_complete_day, data,)
+
+                log.info('Aggregating datasets by publisher')
+                ga_model.update_publisher_stats(period_name) # about 30 seconds.
+
+            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)
+
+
+    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$'
+        metrics = 'ga:entrances'
+        sort = '-ga:entrances'
+
+        # Supported query params at
+        # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 filters=query,
+                                 start_date=start_date,
+                                 metrics=metrics,
+                                 sort=sort,
+                                 dimensions="ga:landingPagePath,ga:socialNetwork",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        data = collections.defaultdict(list)
+        rows = results.get('rows',[])
+        for row in rows:
+            data[_normalize_url(row[0])].append( (row[1], int(row[2]),) )
+        ga_model.update_social(period_name, data)
+
+
+    def download(self, start_date, end_date, path=None):
         '''Get data from GA for a given time period'''
         start_date = start_date.strftime('%Y-%m-%d')
         end_date = end_date.strftime('%Y-%m-%d')
         query = 'ga:pagePath=%s$' % path
-        metrics = 'ga:uniquePageviews, ga:visitors'
-        sort = '-ga:uniquePageviews'
+        metrics = 'ga:pageviews, ga:visits'
+        sort = '-ga:pageviews'
 
         # Supported query params at
         # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
@@ -120,35 +177,35 @@
                                  max_results=10000,
                                  end_date=end_date).execute()
 
-        if os.getenv('DEBUG'):
-            import pprint
-            pprint.pprint(results)
-            print 'Total results: %s' % results.get('totalResults')
-
         packages = []
         for entry in results.get('rows'):
             (loc,pageviews,visits) = entry
-            packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack
+            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/'):
+                # 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
+            packages.append( (url, 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):
+    def sitewide_stats(self, period_name, period_complete_day):
         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)
+            log.info('Downloading analytics for %s' % f.split('_')[1])
+            getattr(self, f)(start_date, end_date, period_name, period_complete_day)
 
     def _get_results(result_data, f):
         data = {}
@@ -157,41 +214,65 @@
             data[key] = data.get(key,0) + result[1]
         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 """
         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 pageviews': result_data[0][0]})
-
-        results = self.service.data().ga().get(
-                                 ids='ga:' + self.profile_id,
-                                 start_dat