Feature #162: Added Rickshaw graphs to most panes of statistics. Needs a little tidying for clarity.
Feature #162: Added Rickshaw graphs to most panes of statistics. Needs a little tidying for clarity.

file:a/.gitignore -> file:b/.gitignore
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,7 @@
 *.py[co]
 *.py~
 .gitignore
+ckan.log
 
 # Packages
 *.egg

file:a/README.rst -> file:b/README.rst
--- a/README.rst
+++ b/README.rst
@@ -32,6 +32,7 @@
 
       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.token.filepath = ~/pyenv/token.dat
       ga-report.period = monthly
       ga-report.bounce_url = /
 
@@ -82,13 +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 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,
@@ -53,25 +56,52 @@
                       self.args[0] if self.args
                                    else 'credentials.json')
 
+class FixTimePeriods(CkanCommand):
+    """
+    Fixes the 'All' records for GA_Urls
+
+    It is possible that older urls that haven't recently been visited
+    do not have All records.  This command will traverse through those
+    records and generate valid All records for them.
+    """
+    summary = __doc__.split('\n')[0]
+    usage = __doc__
+    max_args = 0
+    min_args = 0
+
+    def __init__(self, name):
+        super(FixTimePeriods, self).__init__(name)
+
+    def command(self):
+        import ckan.model as model
+        from ga_model import post_update_url_stats
+        self._load_config()
+        model.Session.remove()
+        model.Session.configure(bind=model.meta.engine)
+
+        log = logging.getLogger('ckanext.ga_report')
+
+        log.info("Updating 'All' records for old URLs")
+        post_update_url_stats()
+        log.info("Processing complete")
+
+
 
 class LoadAnalytics(CkanCommand):
     """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     - 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)
@@ -92,19 +122,25 @@
         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 token file?')
+                   'specified the correct token file in the CKAN config under '
+                   '"googleanalytics.token.filepath"?')
             return
 
         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':

--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -1,6 +1,7 @@
 import re
 import csv
 import sys
+import json
 import logging
 import operator
 import collections
@@ -13,6 +14,7 @@
 
 log = logging.getLogger('ckanext.ga-report')
 
+DOWNLOADS_AVAILABLE_FROM = '2012-12'
 
 def _get_month_name(strdate):
     import calendar
@@ -20,14 +22,39 @@
     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 month names'''
+def _get_unix_epoch(strdate):
+    from time import strptime,mktime
+    d = strptime(strdate, '%Y-%m')
+    return int(mktime(d))
+
+def _month_details(cls, stat_key=None):
+    '''
+    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 = []
-    vals = model.Session.query(cls.period_name).filter(cls.period_name!='All').distinct().all()
+    day = None
+
+    q = model.Session.query(cls.period_name,cls.period_complete_day)\
+        .filter(cls.period_name!='All').distinct(cls.period_name)
+    if stat_key:
+        q=  q.filter(cls.stat_name==stat_key)
+
+    vals = q.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 sorted(months, key=operator.itemgetter(0), reverse=True)
+
+    return months, day
 
 
 class GaReport(BaseController):
@@ -35,7 +62,7 @@
     def csv(self, month):
         import csv
 
-        q = model.Session.query(GA_Stat)
+        q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name!='Downloads')
         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()
@@ -52,11 +79,12 @@
                              entry.key.encode('utf-8'),
                              entry.value.encode('utf-8')])
 
+
     def index(self):
 
         # Get the month details by fetching distinct values and determining the
         # 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
         c.month_desc = 'all months'
@@ -84,11 +112,26 @@
 
             return key, val
 
+        # Query historic values for sparkline rendering
+        graph_query = model.Session.query(GA_Stat)\
+                .filter(GA_Stat.stat_name=='Totals')\
+                .order_by(GA_Stat.period_name)
+        graph_data = {}
+        for x in graph_query:
+            graph_data[x.key] = graph_data.get(x.key,[])
+            key, val = clean_key(x.key,float(x.value))
+            tooltip = '%s: %s' % (_get_month_name(x.period_name), val)
+            graph_data[x.key].append( (tooltip,x.value) )
+        # Trim the latest month, as it looks like a huge dropoff
+        for key in graph_data:
+            graph_data[key] = graph_data[key][:-1]
+
         c.global_totals = []
         if c.month:
             for e in entries:
                 key, val = clean_key(e.key, e.value)
-                c.global_totals.append((key, val))
+                sparkline = graph_data[e.key]
+                c.global_totals.append((key, val, sparkline))
         else:
             d = collections.defaultdict(list)
             for e in entries:
@@ -97,10 +140,11 @@
                 if k in ['Total page views', 'Total visits']:
                     v = sum(v)
                 else:
-                    v = float(sum(v))/len(v)
+                    v = float(sum(v))/float(len(v))
+                sparkline = graph_data[k]
                 key, val = clean_key(k,v)
 
-                c.global_totals.append((key, val))
+                c.global_totals.append((key, val, sparkline))
                 c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
 
         keys = {
@@ -138,7 +182,29 @@
 
         for k, v in keys.iteritems():
             q = model.Session.query(GA_Stat).\
-                filter(GA_Stat.stat_name==k)
+                filter(GA_Stat.stat_name==k).\
+                order_by(GA_Stat.period_name)
+            # Run the query on all months to gather graph data
+            series = {}
+            x_axis = set()
+            for stat in q:
+                x_val = _get_unix_epoch(stat.period_name)
+                series[ stat.key ] = series.get(stat.key,{})
+                series[ stat.key ][x_val] = float(stat.value)
+                x_axis.add(x_val)
+            # Common x-axis for all series. Exclude this month (incomplete data)
+            x_axis = sorted(list(x_axis))[:-1]
+            # Buffer a rickshaw dataset from the series
+            def create_graph(series_name, series_data):
+                return { 
+                    'name':series_name, 
+                    'data':[ {'x':x,'y':series_data.get(x,0)} for x in x_axis ]
+                    }
+            rickshaw = [ create_graph(name,data) for name, data in series.items() ]
+            rickshaw = sorted(rickshaw,key=lambda x:x['data'][-1]['y'])
+            setattr(c, v+'_graph', json.dumps(rickshaw))
+
+            # Buffer the tabular data
             if c.month:
                 entries = []
                 q = q.filter(GA_Stat.period_name==c.month).\
@@ -155,7 +221,7 @@
             # 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'])
+                total = sum([x for n,x,graph 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 ])
@@ -206,13 +272,14 @@
             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(["Dataset Title", "Dataset Name", "Views", "Visits", "Resource downloads", "Period Name"])
+
+        for package,view,visit,downloads in packages:
             writer.writerow([package.title.encode('utf-8'),
                              package.name.encode('utf-8'),
                              view,
                              visit,
+                             downloads,
                              month])
 
     def publishers(self):
@@ -220,7 +287,7 @@
 
         # Get the month details by fetching distinct values and determining the
         # 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
         c.month = request.params.get('month', '')
@@ -232,11 +299,11 @@
         return render('ga_report/publisher/index.html')
 
     def _get_packages(self, publisher=None, count=-1):
-        '''Returns the datasets in order of visits'''
-        if count == -1:
-            count = sys.maxint
-
+        '''Returns the datasets in order of views'''
+        have_download_data = True
         month = c.month or 'All'
+        if month != 'All':
+            have_download_data = month >= DOWNLOADS_AVAILABLE_FROM
 
         q = model.Session.query(GA_Url,model.Package)\
             .filter(model.Package.name==GA_Url.package_id)\
@@ -244,11 +311,27 @@
         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.visits::int desc')
+        q = q.order_by('ga_url.pageviews::int desc')
         top_packages = []
-        for entry,package in q.limit(count):
+        if count == -1:
+            entries = q.all()
+        else:
+            entries = q.limit(count)
+
+        for entry,package in entries:
             if package:
-                top_packages.append((package, entry.pageviews, entry.visits))
+                # Downloads ....
+                if have_download_data:
+                    dls = model.Session.query(GA_Stat).\
+                        filter(GA_Stat.stat_name=='Downloads').\
+                        filter(GA_Stat.key==package.name)
+                    if month != 'All':  # Fetch everything unless the month is specific
+                        dls = dls.filter(GA_Stat.period_name==month)
+
+                    downloads = sum(int(d.value) for d in dls.all())
+                else:
+                    downloads = 'No data'
+                top_packages.append((package, entry.pageviews, entry.visits, downloads))
             else:
                 log.warning('Could not find package associated package')
 
@@ -278,7 +361,7 @@
 
         # Get the month details by fetching distinct values and determining the
         # 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
         c.month = request.params.get('month', '')
@@ -329,7 +412,7 @@
 def _get_publishers():
     '''
     Returns a list of all publishers. Each item is a tuple:
-      (names, title)
+      (name, title)
     '''
     publishers = []
     for pub in model.Session.query(model.Group).\

--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -13,6 +13,7 @@
 FORMAT_MONTH = '%Y-%m'
 MIN_VIEWS = 50
 MIN_VISITS = 20
+MIN_DOWNLOADS = 10
 
 class DownloadAnalytics(object):
     '''Downloads and stores analytics info'''
@@ -122,11 +123,15 @@
                 log.info('Storing publisher views (%i rows)', len(data.get('url')))
                 self.store(period_name, period_complete_day, data,)
 
+                # Make sure the All records are correct.
+                ga_model.post_update_url_stats()
+
                 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 )
+            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)
@@ -153,7 +158,8 @@
         data = collections.defaultdict(list)
         rows = results.get('rows',[])
         for row in rows:
-            data[_normalize_url(row[0])].append( (row[1], int(row[2]),) )
+            url = _normalize_url('http:/' + row[0])
+            data[url].append( (row[1], int(row[2]),) )
         ga_model.update_social(period_name, data)
 
 
@@ -178,6 +184,7 @@
                                  end_date=end_date).execute()
 
         packages = []
+        log.info("There are %d results" % results['totalResults'])
         for entry in results.get('rows'):
             (loc,pageviews,visits) = entry
             url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk
@@ -194,7 +201,7 @@
         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))
@@ -202,10 +209,10 @@
         start_date = '%s-01' % period_name
         end_date = '%s-%s' % (period_name, last_day_of_month)
         funcs = ['_totals_stats', '_social_stats', '_os_stats',
-                 '_locale_stats', '_browser_stats', '_mobile_stats']
+                 '_locale_stats', '_browser_stats', '_mobile_stats', '_download_stats']
         for f in funcs:
             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):
         data = {}
@@ -214,7 +221,7 @@
             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,
@@ -224,7 +231,8 @@
                                  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]})
+        ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]},
+            period_complete_day)
 
         results = self.service.data().ga().get(
                                  ids='ga:' + self.profile_id,
@@ -239,7 +247,7 @@
             'New visits': result_data[0][2],
             '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 / or another configurable page.
         path = '/%s%s' % (config.get('googleanalytics.account'),
@@ -248,7 +256,7 @@
                                  ids='ga:' + self.profile_id,
                                  filters='ga:pagePath==%s' % (path,),
                                  start_date=start_date,
-                                 metrics='ga:bounces,ga:pageviews',
+                                 metrics='ga:visitBounceRate',
                                  dimensions='ga:pagePath',
                                  max_results=10000,
                                  end_date=end_date).execute()
@@ -258,13 +266,14 @@
                       path, result_data)
             return
         results = result_data[0]
-        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)
-        ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': pct})
-
-
-    def _locale_stats(self, start_date, end_date, period_name):
+        bounces = float(results[1])
+        # visitBounceRate is already a %
+        log.info('Google reports visitBounceRate as %s', bounces)
+        ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': float(bounces)},
+            period_complete_day)
+
+
+    def _locale_stats(self, start_date, end_date, period_name, period_complete_day):
         """ Fetches stats about language and country """
         results = self.service.data().ga().get(
                                  ids='ga:' + self.profile_id,
@@ -279,16 +288,72 @@
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
         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 = {}
         for result in result_data:
             data[result[1]] = data.get(result[1], 0) + int(result[2])
         self._filter_out_long_tail(data, MIN_VIEWS)
-        ga_model.update_sitewide_stats(period_name, "Country", data)
-
-
-    def _social_stats(self, start_date, end_date, period_name):
+        ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day)
+
+
+    def _download_stats(self, start_date, end_date, period_name, period_complete_day):
+        """ Fetches stats about language and country """
+        import ckan.model as model
+
+        data = {}
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 filters='ga:eventAction==download',
+                                 metrics='ga:totalEvents',
+                                 sort='-ga:totalEvents',
+                                 dimensions="ga:eventLabel",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        if not result_data:
+            # We may not have data for this time period, so we need to bail
+            # early.
+            log.info("There is no download data for this time period")
+            return
+
+        def process_result_data(result_data, cached=False):
+            for result in result_data:
+                url = result[0].strip()
+
+                # Get package id associated with the resource that has this URL.
+                q = model.Session.query(model.Resource)
+                if cached:
+                    r = q.filter(model.Resource.cache_url.like("%s%%" % url)).first()
+                else:
+                    r = q.filter(model.Resource.url.like("%s%%" % url)).first()
+
+                package_name = r.resource_group.package.name if r else ""
+                if package_name:
+                    data[package_name] = data.get(package_name, 0) + int(result[1])
+                else:
+                    log.warning(u"Could not find resource for URL: {url}".format(url=url))
+                    continue
+
+        process_result_data(results.get('rows'))
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 filters='ga:eventAction==download-cache',
+                                 metrics='ga:totalEvents',
+                                 sort='-ga:totalEvents',
+                                 dimensions="ga:eventLabel",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        process_result_data(results.get('rows'), cached=False)
+
+        self._filter_out_long_tail(data, MIN_DOWNLOADS)
+        ga_model.update_sitewide_stats(period_name, "Downloads", data, period_complete_day)
+
+    def _social_stats(self, start_date, end_date, period_name, period_complete_day):
         """ Finds out which social sites people are referred from """
         results = self.service.data().ga().get(
                                  ids='ga:' + self.profile_id,
@@ -304,10 +369,10 @@
             if not result[0] == '(not set)':
                 data[result[0]] = data.get(result[0], 0) + int(result[2])
         self._filter_out_long_tail(data, 3)
-        ga_model.update_sitewide_stats(period_name, "Social sources", data)
-
-
-    def _os_stats(self, start_date, end_date, period_name):
+        ga_model.update_sitewide_stats(period_name, "Social sources", data, period_complete_day)
+
+
+    def _os_stats(self, start_date, end_date, period_name, period_complete_day):
         """ Operating system stats """
         results = self.service.data().ga().get(
                                  ids='ga:' + self.profile_id,
@@ -322,17 +387,17 @@
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
         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 = {}
         for result in result_data:
             if int(result[2]) >= MIN_VIEWS:
                 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):
+        ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data, period_complete_day)
+
+
+    def _browser_stats(self, start_date, end_date, period_name, period_complete_day):
         """ Information about browsers and browser versions """
         results = self.service.data().ga().get(
                                  ids='ga:' + self.profile_id,
@@ -349,14 +414,14 @@
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
         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 = {}
         for result in result_data:
             key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1]))
             data[key] = data.get(key, 0) + int(result[2])
         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
     def _filter_browser_version(cls, browser, version_str):
@@ -380,7 +445,7 @@
                 ver = ver[0] + ver[1] + 'X' * num_hidden_digits
         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 """
 
         results = self.service.data().ga().get(
@@ -397,13 +462,13 @@
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
         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 = {}
         for result in result_data:
             data[result[1]] = data.get(result[1], 0) + int(result[2])
         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
     def _filter_out_long_tail(cls, data, threshold=10):

--- a/ckanext/ga_report/ga_model.py
+++ b/ckanext/ga_report/ga_model.py
@@ -9,6 +9,8 @@
 
 import ckan.model as model
 from ckan.lib.base import *
+
+log = __import__('logging').getLogger(__name__)
 
 def make_uuid():
     return unicode(uuid.uuid4())
@@ -45,6 +47,7 @@
                   Column('id', types.UnicodeText, primary_key=True,
                          default=make_uuid),
                   Column('period_name', types.UnicodeText),
+                  Column('period_complete_day', types.UnicodeText),
                   Column('stat_name', types.UnicodeText),
                   Column('key', types.UnicodeText),
                   Column('value', types.UnicodeText), )
@@ -132,7 +135,7 @@
             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():
         item = model.Session.query(GA_Stat).\
             filter(GA_Stat.period_name==period_name).\
@@ -142,11 +145,13 @@
             item.period_name = period_name
             item.key = k
             item.value = v
+            item.period_complete_day = period_complete_day
             model.Session.add(item)
         else:
             # create the row
             values = {'id': make_uuid(),
                      'period_name': period_name,
+                     'period_complete_day': period_complete_day,
                      'key': k,
                      'value': v,
                      'stat_name': stat_name
@@ -156,10 +161,56 @@
 
 
 def pre_update_url_stats(period_name):
+    log.debug("Deleting '%s' records" % period_name)
     model.Session.query(GA_Url).\
             filter(GA_Url.period_name==period_name).delete()
-    model.Session.query(GA_Url).\
-            filter(GA_Url.period_name=='All').delete()
+
+    count = model.Session.query(GA_Url).\
+            filter(GA_Url.period_name == 'All').count()
+    log.debug("Deleting %d 'All' records" % count)
+    count = model.Session.query(GA_Url).\
+            filter(GA_Url.period_name == 'All').delete()
+    log.debug("Deleted %d 'All' records" % count)
+
+    model.Session.flush()
+    model.Session.commit()
+    model.repo.commit_and_remove()
+
+def post_update_url_stats():
+
+    """ Check the distinct url field in ga_url and make sure
+        it has an All record.  If not then create one.
+
+        After running this then every URL should have an All
+        record regardless of whether the URL has an entry for
+        the month being currently processed.
+    """
+    query = """select url, pageviews::int, visits::int
+               from ga_url
+               where url not in (select url from ga_url where period_name ='All')"""
+    connection = model.Session.connection()
+    res = connection.execute(query)
+
+    views, visits = {}, {}
+    # url, views, visits
+    for row in res:
+        views[row[0]] = views.get(row[0], 0) + row[1]
+        visits[row[0]] = visits.get(row[0], 0) + row[2]
+
+    for key in views.keys():
+        package, publisher = _get_package_and_publisher(key)
+
+        values = {'id': make_uuid(),
+                  'period_name': "All",
+                  'period_complete_day': 0,
+                  'url': key,
+                  'pageviews': views[key],
+                  'visits': visits[key],
+                  'department_id': publisher,
+                  'package_id': publisher
+                  }
+        model.Session.add(GA_Url(**values))
+    model.Session.commit()
 
 
 def update_url_stats(period_name, period_complete_day, url_data):
@@ -211,8 +262,8 @@
                       'period_name': 'All',
                       'period_complete_day': 0,
                       'url': url,
-                      'pageviews': sum([int(e.pageviews) for e in entries]) + old_pageviews,
-                      'visits': sum([int(e.visits) for e in entries]) + old_visits,
+                      'pageviews': sum([int(e.pageviews) for e in entries]) + int(old_pageviews),
+                      'visits': sum([int(e.visits or 0) for e in entries]) + int(old_visits),
                       'department_id': publisher,
                       'package_id': package
                      }
@@ -338,8 +389,39 @@
     '''
     for object_type in (GA_Url, GA_Stat, GA_Publisher, GA_ReferralStat):
         q = model.Session.query(object_type)
-        if period_name != 'all':
+        if period_name != 'All':
             q = q.filter_by(period_name=period_name)
         q.delete()
-    model.Session.commit()
-
+    model.repo.commit_and_remove()
+
+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