From: David Read <david.read@hackneyworkshop.com>
Date: Tue, 22 Jan 2013 17:08:05 +0000
Subject: Merge commit 'd0db210'
X-Git-Url: http://maxious.lambdacomplex.org/git/?p=ckanext-ga-report.git&a=commitdiff&h=794c62a0f973c97269fef4f7a9988d2bb3957021
---
Merge commit 'd0db210'
---


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

--- 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,
@@ -20,7 +23,7 @@
         import ckan.model as model
         model.Session.remove()
         model.Session.configure(bind=model.meta.engine)
-        log = logging.getLogger('ckanext.ga-report')
+        log = logging.getLogger('ckanext.ga_report')
 
         import ga_model
         ga_model.init_tables()
@@ -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
+        sparkline_query = model.Session.query(GA_Stat)\
+                .filter(GA_Stat.stat_name=='Totals')\
+                .order_by(GA_Stat.period_name)
+        sparkline_data = {}
+        for x in sparkline_query:
+            sparkline_data[x.key] = sparkline_data.get(x.key,[])
+            key, val = clean_key(x.key,float(x.value))
+            tooltip = '%s: %s' % (_get_month_name(x.period_name), val)
+            sparkline_data[x.key].append( (tooltip,x.value) )
+        # Trim the latest month, as it looks like a huge dropoff
+        for key in sparkline_data:
+            sparkline_data[key] = sparkline_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 = sparkline_data[e.key]
+                c.global_totals.append((key, val, sparkline))
         else:
             d = collections.defaultdict(list)
             for e in entries:
@@ -97,11 +140,19 @@
                 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 = sparkline_data[k]
                 key, val = clean_key(k,v)
 
-                c.global_totals.append((key, val))
-                c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
+                c.global_totals.append((key, val, sparkline))
+        # Sort the global totals into a more pleasant order
+        def sort_func(x):
+            key = x[0]
+            total_order = ['Total page views','Total visits','Pages per visit']
+            if key in total_order:
+                return total_order.index(key)
+            return 999
+        c.global_totals = sorted(c.global_totals, key=sort_func)
 
         keys = {
             'Browser versions': 'browser_versions',
@@ -138,7 +189,22 @@
 
         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
+            graph = {}
+            for stat in q:
+                graph[ stat.key ] = graph.get(stat.key,{
+                    'name':stat.key, 
+                    'data': []
+                    })
+                graph[ stat.key ]['data'].append({
+                    'x':_get_unix_epoch(stat.period_name),
+                    'y':float(stat.value)
+                    })
+            setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph.values(),percentageMode=True) ))
+
+            # 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 ])
@@ -180,7 +246,9 @@
         writer = csv.writer(response)
         writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
 
-        for publisher,view,visit in _get_top_publishers(None):
+        top_publishers, top_publishers_graph = _get_top_publishers(None)
+
+        for publisher,view,visit in top_publishers:
             writer.writerow([publisher.title.encode('utf-8'),
                              publisher.name.encode('utf-8'),
                              view,
@@ -206,13 +274,14 @@
             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 +289,7 @@
 
         # 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', '')
@@ -228,15 +297,17 @@
         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()
+        c.top_publishers, graph_data = _get_top_publishers()
+        c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data.values()) )
+
         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
-
+        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)\
@@ -246,9 +317,26 @@
         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 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 = 0
+                    for x in dls:
+                        downloads += int(x.value)
+                else:
+                    downloads = 'No data'
+                top_packages.append((package, entry.pageviews, entry.visits, downloads))
             else:
                 log.warning('Could not find package associated package')
 
@@ -278,7 +366,7 @@
 
         # 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', '')
@@ -296,7 +384,78 @@
 
         c.top_packages = self._get_packages(c.publisher, 20)
 
+        # Graph query
+        top_package_names = [ x[0].name for x in c.top_packages ]
+        graph_query = model.Session.query(GA_Url,model.Package)\
+            .filter(model.Package.name==GA_Url.package_id)\
+            .filter(GA_Url.url.like('/dataset/%'))\
+            .filter(GA_Url.package_id.in_(top_package_names))
+        graph_data = {}
+        for entry,package in graph_query:
+            if not package: continue
+            if entry.period_name=='All': continue
+            graph_data[package.id] = graph_data.get(package.id,{
+                'name':package.title,
+                'data':[]
+                })
+            graph_data[package.id]['data'].append({
+                'x':_get_unix_epoch(entry.period_name),
+                'y':int(entry.pageviews),
+                })
+                    
+        c.graph_data = json.dumps( _to_rickshaw(graph_data.values()) )
+
         return render('ga_report/publisher/read.html')
+
+def _to_rickshaw(data, percentageMode=False):
+    if data==[]:
+        return data
+    # Create a consistent x-axis
+    num_points = [ len(package['data']) for package in data ]
+    ideal_index = num_points.index( max(num_points) )
+    x_axis = [ point['x'] for point in data[ideal_index]['data'] ]
+    for package in data:
+        xs = [ point['x'] for point in package['data'] ]
+        assert set(xs).issubset( set(x_axis) ), (xs, x_axis)
+        # Zero pad any missing values
+        for x in set(x_axis).difference(set(xs)):
+            package['data'].append( {'x':x, 'y':0} )
+        assert len(package['data'])==len(x_axis), (len(package['data']),len(x_axis),package['data'],x_axis,set(x_axis).difference(set(xs)))
+    if percentageMode:
+        # Transform data into percentage stacks
+        totals = {}
+        for x in x_axis:
+            for package in data:
+                for point in package['data']:
+                    totals[ point['x'] ] = totals.get(point['x'],0) + point['y']
+        # Roll insignificant series into a catch-all
+        THRESHOLD = 0.01
+        significant_series = []
+        for package in data:
+            for point in package['data']:
+                fraction = float(point['y']) / totals[point['x']]
+                if fraction>THRESHOLD and not (package in significant_series):
+                    significant_series.append(package)
+        temp = {}
+        for package in data:
+            if package in significant_series: continue
+            for point in package['data']:
+                temp[point['x']] = temp.get(point['x'],0) + point['y']
+        catch_all = { 'name':'Other','data': [ {'x':x,'y':y} for x,y in temp.items() ] }
+        # Roll insignificant series into one
+        data = significant_series
+        data.append(catch_all)
+        # Turn each point into a percentage
+        for package in data:
+            for point in package['data']:
+                point['y'] = (point['y']*100) / totals[point['x']]
+    # Sort the points
+    for package in data:
+        package['data'] = sorted( package['data'], key=lambda x:x['x'] )
+        # Strip the latest month's incomplete analytics
+        package['data'] = package['data'][:-1]
+    return data
+
 
 def _get_top_publishers(limit=20):
     '''
@@ -319,11 +478,35 @@
 
     top_publishers = []
     res = connection.execute(q, month)
+    department_ids = []
     for row in res:
         g = model.Group.get(row[0])
         if g:
+            department_ids.append(row[0])
             top_publishers.append((g, row[1], row[2]))
-    return top_publishers
+
+    graph = {}
+    if limit is not None:
+        # Query for a history graph of these publishers
+        q = model.Session.query(
+                GA_Url.department_id, 
+                GA_Url.period_name, 
+                func.sum(cast(GA_Url.pageviews,sqlalchemy.types.INT)))\
+            .filter( GA_Url.department_id.in_(department_ids) )\
+            .filter( GA_Url.period_name!='All' )\
+            .filter( GA_Url.url.like('/dataset/%') )\
+            .filter( GA_Url.package_id!='' )\
+            .group_by( GA_Url.department_id, GA_Url.period_name )
+        for dept_id,period_name,views in q:
+            graph[dept_id] = graph.get( dept_id, {
+                'name' : model.Group.get(dept_id).title,
+                'data' : []
+                })
+            graph[dept_id]['data'].append({
+                'x': _get_unix_epoch(period_name),
+                'y': views
+                })
+    return top_publishers, graph
 
 
 def _get_publishers():

--- 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'''
@@ -31,6 +32,11 @@
         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)
+        # if this is the latest month, note that it is only up until today
+        now = datetime.datetime.now()
+        if now.year == date.year and now.month == date.month:
+            last_day_of_month = now.day
+            last_of_this_month = now
         periods = ((date.strftime(FORMAT_MONTH),
                     last_day_of_month,
                     first_of_this_month, last_of_this_month),)
@@ -122,11 +128,15 @@
                 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')
+                # Make sure the All records are correct.
+                ga_model.post_update_url_stats()
+
+                log.info('Associating datasets with their 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 +163,8 @@
         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 +189,7 @@
                                  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 +206,7 @@
         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 +214,10 @@
         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 +226,7 @@
             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 +236,8 @@
                                  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 +252,7 @@
             '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 +261,7 @@
                                  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 +271,14 @@
                       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 +293,84 @@
         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 data downloads """
+        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):
+            progress_total = len(result_data)
+            progress_count = 0
+            resources_not_matched = []
+            for result in result_data:
+                progress_count += 1
+                if progress_count % 100 == 0:
+                    log.debug('.. %d/%d done so far', progress_count, progress_total)
+
+                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:
+                    resources_not_matched.append(url)
+                    continue
+            if resources_not_matched:
+                log.debug('Could not match %i or %i resource URLs to datasets. e.g. %r',
+                          len(resources_not_matched), progress_total, resources_not_matched[:3])
+
+        log.info('Associating downloads of resource URLs with their respective datasets')
+        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()
+        log.info('Associating downloads of cache resource URLs with their respective datasets')
+        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 +386,10 @@
             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 +404,17 @@
         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 +431,14 @@
         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 +462,7 @@
                 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 +479,13 @@
         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
@@ -47,6 +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), )
@@ -134,7 +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).\
@@ -144,11 +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
@@ -158,10 +161,64 @@
 
 
 def pre_update_url_stats(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()
+    q = model.Session.query(GA_Url).\
+        filter(GA_Url.period_name==period_name)
+    log.debug("Deleting %d '%s' records" % (q.count(), period_name))
+    q.delete()
+
+    q = model.Session.query(GA_Url).\
+        filter(GA_Url.period_name == 'All')
+    log.debug("Deleting %d 'All' records..." % q.count())
+    q.delete()
+
+    model.Session.flush()
+    model.Session.commit()
+    model.repo.commit_and_remove()
+    log.debug('...done')
+
+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.
+    """
+    log.debug('Post-processing "All" records...')
+    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]
+
+    progress_total = len(views.keys())
+    progress_count = 0
+    for key in views.keys():
+        progress_count += 1
+        if progress_count % 100 == 0:
+            log.debug('.. %d/%d done so far', progress_count, progress_total)
+
+        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()
+    log.debug('..done')
 
 
 def update_url_stats(period_name, period_complete_day, url_data):
@@ -170,9 +227,14 @@
     stores them in GA_Url under the period and recalculates the totals for
     the 'All' period.
     '''
+    progress_total = len(progress_data)
+    progress_count = 0
     for url, views, visits in url_data:
+        progress_count += 1
+        if progress_count % 100 == 0:
+            log.debug('.. %d/%d done so far', progress_count, progress_total)
+
         package, publisher = _get_package_and_publisher(url)
-
 
         item = model.Session.query(GA_Url).\
             filter(GA_Url.period_name==period_name).\
@@ -213,8 +275,8 @@
                       '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 or 0) 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
                      }
@@ -340,10 +402,10 @@
     '''
     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):
     '''

--- a/ckanext/ga_report/helpers.py
+++ b/ckanext/ga_report/helpers.py
@@ -50,9 +50,12 @@
             dataset = model.Package.get(ga_url.url[len('/dataset/'):])
             if dataset and not dataset.state == 'active':
                 dataset = None
-                count += 1
-                if count > 10:
-                    break
+            # When testing, it is possible that top datasets are not available
+            # so only go round this loop a few times before falling back on
+            # a random dataset.
+            count += 1
+            if count > 10:
+                break
     if not dataset:
         # fallback
         dataset = model.Session.query(model.Package)\

--- a/ckanext/ga_report/plugin.py
+++ b/ckanext/ga_report/plugin.py
@@ -42,6 +42,16 @@
             controller='ckanext.ga_report.controller:GaReport',
             action='csv'
         )
+        map.connect(
+            '/data/site-usage/downloads',
+            controller='ckanext.ga_report.controller:GaReport',
+            action='downloads'
+        )
+        map.connect(
+            '/data/site-usage/downloads_{month}.csv',
+            controller='ckanext.ga_report.controller:GaReport',
+            action='csv_downloads'
+        )
 
         # GaDatasetReport
         map.connect(

--- /dev/null
+++ b/ckanext/ga_report/public/css/ga_report.css
@@ -1,1 +1,41 @@
+.table-condensed td.sparkline-cell {
+  padding: 1px 0 0 0;
+  width: 108px;
+  text-align: center;
+}
+.rickshaw_chart_container {
+  position: relative;
+  height: 350px;
+  margin: 0 auto 20px auto;
+}
+.rickshaw_chart {
+  position: absolute;
+  left: 40px;
+  width: 500px;
+  top: 0;
+  bottom: 0;
+}
+.rickshaw_legend {
+  position: absolute;
+  right: 0;
+  top: 0;
+  margin-left: 15px;
+  padding: 0 5px;
+  background: transparent;
+  max-width: 150px;
+  overflow: hidden;
+  background: rgba(0,0,0,0.05);
+  border-radius:5px;
+}
+.rickshaw_y_axis {
+  position: absolute;
+  top: 0;
+  bottom: 0;
+  width: 40px;
+}
+.rickshaw_legend .label {
+  background: transparent !important;
+  color: #000000 !important;
+  font-weight: normal !important;
+}
 

--- /dev/null
+++ b/ckanext/ga_report/public/scripts/ckanext_ga_reports.js
@@ -1,1 +1,42 @@
 
+var CKAN = CKAN || {};
+CKAN.GA_Reports = {};
+
+CKAN.GA_Reports.render_rickshaw = function( css_name, data, mode, colorscheme ) {
+    var palette = new Rickshaw.Color.Palette( { scheme: colorscheme } );
+    $.each(data, function(i, object) {
+        object['color'] = palette.color();
+    });
+
+    var graphElement =  document.querySelector("#chart_"+css_name);
+
+    var graph = new Rickshaw.Graph( {
+        element: document.querySelector("#chart_"+css_name),
+        renderer: mode,
+        series: data ,
+        height: 328
+    });
+    var x_axis = new Rickshaw.Graph.Axis.Time( { graph: graph } );
+    var y_axis = new Rickshaw.Graph.Axis.Y( {
+        graph: graph,
+        orientation: 'left',
+        tickFormat: Rickshaw.Fixtures.Number.formatKMBT,
+        element: document.getElementById('y_axis_'+css_name),
+    } );
+    var legend = new Rickshaw.Graph.Legend( {
+        element: document.querySelector('#legend_'+css_name),
+        graph: graph
+    } );
+    var hoverDetail = new Rickshaw.Graph.HoverDetail( {
+      graph: graph,
+      formatter: function(series, x, y) {
+        var date = '<span class="date">' + new Date(x * 1000).toUTCString() + '</span>';
+        var swatch = '<span class="detail_swatch" style="background-color: ' + series.color + '"></span>';
+        var content = swatch + series.name + ": " + parseInt(y) + '<br>' + date;
+        return content;
+      }
+    } );
+    graph.render();
+};
+
+

--- /dev/null
+++ b/ckanext/ga_report/public/scripts/vendor/d3.layout.min.js
@@ -1,1 +1,1 @@
-
+(function(){function a(a){var b=a.source,d=a.target,e=c(b,d),f=[b];while(b!==e)b=b.parent,f.push(b);var g=f.length;while(d!==e)f.splice(g,0,d),d=d.parent;return f}function b(a){var b=[],c=a.parent;while(c!=null)b.push(a),a=c,c=c.parent;return b.push(a),b}function c(a,c){if(a===c)return a;var d=b(a),e=b(c),f=d.pop(),g=e.pop(),h=null;while(f===g)h=f,f=d.pop(),g=e.pop();return h}function g(a){a.fixed|=2}function h(a){a!==f&&(a.fixed&=1)}function i(){j(),f.fixed&=1,e=f=null}function j(){f.px+=d3.event.dx,f.py+=d3.event.dy,e.resume()}function k(a,b,c){var d=0,e=0;a.charge=0;if(!a.leaf){var f=a.nodes,g=f.length,h=-1,i;while(++h<g){i=f[h];if(i==null)continue;k(i,b,c),a.charge+=i.charge,d+=i.charge*i.cx,e+=i.charge*i.cy}}if(a.point){a.leaf||(a.point.x+=Math.random()-.5,a.point.y+=Math.random()-.5);var j=b*c[a.point.index];a.charge+=a.pointCharge=j,d+=j*a.point.x,e+=j*a.point.y}a.cx=d/a.charge,a.cy=e/a.charge}function l(a){return 20}function m(a){return 1}function o(a){return a.x}function 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--- /dev/null
+++ b/ckanext/ga_report/public/scripts/vendor/d3.v2.js
@@ -1,1 +1,7026 @@
-
+(function() {
+  function d3_class(ctor, properties) {
+    try {
+      for (var key in properties) {
+        Object.defineProperty(ctor.prototype, key, {
+          value: properties[key],
+          enumerable: false
+        });
+      }
+    } catch (e) {
+      ctor.prototype = properties;
+    }
+  }
+  function d3_arrayCopy(pseudoarray) {
+    var i = -1, n = pseudoarray.length, array = [];
+    while (++i < n) array.push(pseudoarray[i]);
+    return array;
+  }
+  function d3_arraySlice(pseudoarray) {
+    return Array.prototype.slice.call(pseudoarray);
+  }
+  function d3_Map() {}
+  function d3_identity(d) {
+    return d;
+  }
+  function d3_this() {
+    return this;
+  }
+  function d3_true() {
+    return true;
+  }
+  function d3_functor(v) {
+    return typeof v === "function" ? v : function() {
+      return v;
+    };
+  }
+  function d3_rebind(target, source, method) {
+    return function() {
+      var value = method.apply(source, arguments);
+      return arguments.length ? target : value;
+    };
+  }
+  function d3_number(x) {
+    return x != null && !isNaN(x);
+  }
+  function d3_zipLength(d) {
+    return d.length;
+  }
+  function d3_splitter(d) {
+    return d == null;
+  }
+  function d3_collapse(s) {
+    return s.trim().replace(/\s+/g, " ");
+  }
+  function d3_range_integerScale(x) {
+    var k = 1;
+    while (x * k % 1) k *= 10;
+    return k;
+  }
+  function d3_dispatch() {}
+  function d3_dispatch_event(dispatch) {
+    function event() {
+      var z = listeners, i = -1, n = z.length, l;
+      while (++i < n) if (l = z[i].on) l.apply(this, arguments);
+      return dispatch;
+    }
+    var listeners = [], listenerByName = new d3_Map;
+    event.on = function(name, listener) {
+      var l = listenerByName.get(name), i;
+      if (arguments.length < 2) return l && l.on;
+      if (l) {
+        l.on = null;
+        listeners = listeners.slice(0, i = listeners.indexOf(l)).concat(listeners.slice(i + 1));
+        listenerByName.remove(name);
+      }
+      if (listener) listeners.push(listenerByName.set(name, {
+        on: listener
+      }));
+      return dispatch;
+    };
+    return event;
+  }
+  function d3_format_precision(x, p) {
+    return p - (x ? 1 + Math.floor(Math.log(x + Math.pow(10, 1 + Math.floor(Math.log(x) / Math.LN10) - p)) / Math.LN10) : 1);
+  }
+  function d3_format_typeDefault(x) {
+    return x + "";
+  }
+  function d3_format_group(value) {
+    var i = value.lastIndexOf("."), f = i >= 0 ? value.substring(i) : (i = value.length, ""), t = [];
+    while (i > 0) t.push(value.substring(i -= 3, i + 3));
+    return t.reverse().join(",") + f;
+  }
+  function d3_formatPrefix(d, i) {
+    var k = Math.pow(10, Math.abs(8 - i) * 3);
+    return {
+      scale: i > 8 ? function(d) {
+        return d / k;
+      } : function(d) {
+        return d * k;
+      },
+      symbol: d
+    };
+  }
+  function d3_ease_clamp(f) {
+    return function(t) {
+      return t <= 0 ? 0 : t >= 1 ? 1 : f(t);
+    };
+  }
+  function d3_ease_reverse(f) {
+    return function(t) {
+      return 1 - f(1 - t);
+    };
+  }
+  function d3_ease_reflect(f) {
+    return function(t) {
+      return .5 * (t < .5 ? f(2 * t) : 2 - f(2 - 2 * t));
+    };
+  }
+  function d3_ease_identity(t) {
+    return t;
+  }
+  function d3_ease_poly(e) {
+    return function(t) {
+      return Math.pow(t, e);
+    };
+  }
+  function d3_ease_sin(t) {
+    return 1 - Math.cos(t * Math.PI / 2);
+  }
+  function d3_ease_exp(t) {
+    return Math.pow(2, 10 * (t - 1));
+  }
+  function d3_ease_circle(t) {
+    return 1 - Math.sqrt(1 - t * t);
+  }
+  function d3_ease_elastic(a, p) {
+    var s;
+    if (arguments.length < 2) p = .45;
+    if (arguments.length < 1) {
+      a = 1;