[403] Rickshaw graph always renders all series, no matter which month is selected.
[403] Rickshaw graph always renders all series, no matter which month is selected.

--- a/ckanext/ga_report/command.py
+++ b/ckanext/ga_report/command.py
@@ -23,7 +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()

--- 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
@@ -21,6 +22,10 @@
     d = strptime(strdate, '%Y-%m')
     return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
 
+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):
     '''
@@ -107,11 +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:
@@ -121,10 +141,18 @@
                     v = sum(v)
                 else:
                     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',
@@ -161,12 +189,13 @@
 
         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)
+            # Buffer the tabular data
             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)
@@ -175,10 +204,30 @@
                 entries.append((key,val,))
             entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
 
+            # Run a query on all months to gather graph data
+            graph_query = model.Session.query(GA_Stat).\
+                filter(GA_Stat.stat_name==k).\
+                order_by(GA_Stat.period_name)
+            graph_dict = {}
+            for stat in graph_query:
+                graph_dict[ stat.key ] = graph_dict.get(stat.key,{
+                    'name':stat.key, 
+                    'data': []
+                    })
+                graph_dict[ stat.key ]['data'].append({
+                    'x':_get_unix_epoch(stat.period_name),
+                    'y':float(stat.value)
+                    })
+            stats_in_table = [x[0] for x in entries]
+            stats_not_in_table = set(graph_dict.keys()) - set(stats_in_table)
+            stats = stats_in_table + sorted(list(stats_not_in_table))
+            graph = [graph_dict[x] for x in stats]
+            setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph,percentageMode=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'])
+                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 ])
@@ -203,7 +252,9 @@
         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,
@@ -252,7 +303,9 @@
         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) )
+
         return render('ga_report/publisher/index.html')
 
     def _get_packages(self, publisher=None, count=-1):
@@ -284,8 +337,9 @@
                         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())
+                    downloads = 0
+                    for x in dls:
+                        downloads += int(x.value)
                 else:
                     downloads = 'No data'
                 top_packages.append((package, entry.pageviews, entry.visits, downloads))
@@ -336,7 +390,81 @@
 
         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_dict = {}
+        for entry,package in graph_query:
+            if not package: continue
+            if entry.period_name=='All': continue
+            graph_dict[package.name] = graph_dict.get(package.name,{
+                'name':package.title,
+                'data':[]
+                })
+            graph_dict[package.name]['data'].append({
+                'x':_get_unix_epoch(entry.period_name),
+                'y':int(entry.pageviews),
+                })
+        graph = [ graph_dict[x] for x in top_package_names ]
+
+        c.graph_data = json.dumps( _to_rickshaw(graph) )
+
         return render('ga_report/publisher/read.html')
+
+def _to_rickshaw(data, percentageMode=False):
+    if data==[]:
+        return data
+    # Create a consistent x-axis between all series
+    num_points = [ len(series['data']) for series in data ]
+    ideal_index = num_points.index( max(num_points) )
+    x_axis = []
+    for series in data:
+        for point in series['data']:
+            x_axis.append(point['x'])
+    x_axis = sorted( list( set(x_axis) ) )
+    # Zero pad any missing values
+    for series in data:
+        xs = [ point['x'] for point in series['data'] ]
+        for x in set(x_axis).difference(set(xs)):
+            series['data'].append( {'x':x, 'y':0} )
+    if percentageMode:
+        def get_totals(series_list):
+            totals = {}
+            for series in series_list:
+                for point in series['data']:
+                    totals[point['x']] = totals.get(point['x'],0) + point['y']
+            return totals
+        # Transform data into percentage stacks
+        totals = get_totals(data)
+        # Roll insignificant series into a catch-all
+        THRESHOLD = 0.01
+        raw_data = data
+        data = []
+        for series in raw_data:
+            for point in series['data']:
+                fraction = float(point['y']) / totals[point['x']]
+                if not (series in data) and fraction>THRESHOLD:
+                    data.append(series)
+        # Overwrite data with a set of interesting series
+        others = [ x for x in raw_data if not (x in data) ]
+        data.append({ 
+            'name':'Other',
+            'data': [ {'x':x,'y':y} for x,y in get_totals(others).items() ] 
+            })
+        # Turn each point into a percentage
+        for series in data:
+            for point in series['data']:
+                point['y'] = (point['y']*100) / totals[point['x']]
+    # Sort the points
+    for series in data:
+        series['data'] = sorted( series['data'], key=lambda x:x['x'] )
+        # Strip the latest month's incomplete analytics
+        series['data'] = series['data'][:-1]
+    return data
+
 
 def _get_top_publishers(limit=20):
     '''
@@ -359,11 +487,39 @@
 
     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 )
+        graph_dict = {}
+        for dept_id,period_name,views in q:
+            graph_dict[dept_id] = graph_dict.get( dept_id, {
+                'name' : model.Group.get(dept_id).title,
+                'data' : []
+                })
+            graph_dict[dept_id]['data'].append({
+                'x': _get_unix_epoch(period_name),
+                'y': views
+                })
+        # Sort dict into ordered list
+        for id in department_ids:
+            graph.append( graph_dict[id] )
+    return top_publishers, graph
 
 
 def _get_publishers():

--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -32,6 +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),)
@@ -126,7 +131,7 @@
                 # Make sure the All records are correct.
                 ga_model.post_update_url_stats()
 
-                log.info('Aggregating datasets by publisher')
+                log.info('Associating datasets with their publisher')
                 ga_model.update_publisher_stats(period_name) # about 30 seconds.
 
 
@@ -298,7 +303,7 @@
 
 
     def _download_stats(self, start_date, end_date, period_name, period_complete_day):
-        """ Fetches stats about language and country """
+        """ Fetches stats about data downloads """
         import ckan.model as model
 
         data = {}
@@ -320,7 +325,14 @@
             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.
@@ -334,9 +346,13 @@
                 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))
+                    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(
@@ -348,6 +364,7 @@
                                  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)

--- a/ckanext/ga_report/ga_model.py
+++ b/ckanext/ga_report/ga_model.py
@@ -161,20 +161,20 @@
 
 
 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()
-
-    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)
+    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():
 
@@ -185,6 +185,7 @@
         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')"""
@@ -197,7 +198,13 @@
         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(),
@@ -207,10 +214,11 @@
                   'pageviews': views[key],
                   'visits': visits[key],
                   'department_id': publisher,
-                  'package_id': publisher
+                  'package_id': package
                   }
         model.Session.add(GA_Url(**values))
     model.Session.commit()
+    log.debug('..done')
 
 
 def update_url_stats(period_name, period_complete_day, url_data):
@@ -219,9 +227,14 @@
     stores them in GA_Url under the period and recalculates the totals for
     the 'All' period.
     '''
+    progress_total = len(url_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).\

--- a/ckanext/ga_report/helpers.py
+++ b/ckanext/ga_report/helpers.py
@@ -106,6 +106,10 @@
     for entry in entries:
         if len(datasets) < count:
             p = model.Package.get(entry.url[len('/dataset/'):])
+            if not p:
+                _log.warning("Could not find Package for {url}".format(url=entry.url))
+                continue
+
             if not p in datasets:
                 datasets[p] = {'views':0, 'visits': 0}
             datasets[p]['views'] = datasets[p]['views'] + int(entry.pageviews)

--- /dev/null
+++ b/ckanext/ga_report/public/css/ga_report.css
@@ -1,1 +1,64 @@
+.table-condensed td.sparkline-cell {
+  padding: 1px 0 0 0;
+  width: 108px;
+  text-align: center;
+  /* Hack to hide the momentary flash of text 
+   * before sparklines are fully rendered */
+  font-size: 1px;
+  color: transparent;
+  overflow: hidden;
+}
+.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 {
+  background: transparent;
+  width: 100%;
+  padding-top: 4px;
+}
+.rickshaw_y_axis {
+  position: absolute;
+  top: 0;
+  bottom: 0;
+  width: 40px;
+}
+.rickshaw_legend .label {
+  background: transparent !important;
+  color: #000000 !important;
+  font-weight: normal !important;
+}
+.rickshaw_legend .instructions {
+  color: #000;
+  margin-bottom: 6px;
+}
 
+.rickshaw_legend .line .action {
+  display: none;
+}
+.rickshaw_legend .line .swatch {
+  display: block;
+  float: left;
+}
+.rickshaw_legend .line .label {
+  display: block;
+  white-space: normal;
+  float: left;
+  width: 200px;
+}
+.rickshaw_legend .line .label:hover {
+  text-decoration: underline;
+}
+
+.ga-reports-table .td-numeric {
+  text-align: center;
+}
+

--- /dev/null
+++ b/ckanext/ga_report/public/scripts/ckanext_ga_reports.js
@@ -1,1 +1,122 @@
+var CKAN = CKAN || {};
+CKAN.GA_Reports = {};
 
+CKAN.GA_Reports.render_rickshaw = function( css_name, data, mode, colorscheme ) {
+    var graphLegends = $('#graph-legend-container');
+
+    if (!Modernizr.svg) {
+        $("#chart_"+css_name)
+          .html( '<div class="alert">Your browser does not support vector graphics. No graphs can be rendered.</div>')
+          .closest('.rickshaw_chart_container').css('height',50);
+        var myLegend = $('<div id="legend_'+css_name+'"/>')
+          .html('(Graph cannot be rendered)')
+          .appendTo(graphLegends);
+        return;
+    }
+    var myLegend = $('<div id="legend_'+css_name+'"/>').appendTo(graphLegends);
+
+    var palette = new Rickshaw.Color.Palette( { scheme: colorscheme } );
+    $.each(data, function(i, object) {
+        object['color'] = palette.color();
+    });
+    // Rickshaw renders the legend in reverse order...
+    data.reverse();
+
+    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 shelving = new Rickshaw.Graph.Behavior.Series.Toggle( {
+      graph: graph,
+      legend: legend
+    } );
+    myLegend.prepend('<div class="instructions">Click on a series below to isolate its graph:</div>');
+    graph.render();
+};
+
+CKAN.GA_Reports.bind_sparklines = function() {
+  /* 
+   * Bind to the 'totals' tab being on screen, when the 
+   * Sparkline graphs should be drawn.
+   * Note that they cannot be drawn sooner.
+   */
+  var created = false;
+  $('a[href="#totals"]').on(
+    'shown', 
+      function() {
+        if (!created) {
+          var sparkOptions = {
+            enableTagOptions: true,
+            type: 'line',
+            width: 100,
+            height: 26,
+            chartRangeMin: 0,
+            spotColor: '',
+            maxSpotColor: '',
+            minSpotColor: '',
+            highlightSpotColor: '#000000',
+            lineColor: '#3F8E6D',
+            fillColor: '#B7E66B'
+          };
+          $('.sparkline').sparkline('html',sparkOptions);
+          created = true;
+        }
+        $.sparkline_display_visible();
+      }
+  );
+};
+
+CKAN.GA_Reports.bind_sidebar = function() {
+  /* 
+   * Bind to changes in the tab behaviour: 
+   * Show the correct rickshaw graph in the sidebar. 
+   * Not to be called before all graphs load.
+   */
+  $('a[data-toggle="hashtab"]').on(
+    'shown',
+    function(e) {
+      var href = $(e.target).attr('href');
+      var pane = $(href);
+      if (!pane.length) { console.err('bad href',href); return; }
+      var legend_name = "none";
+      var graph = pane.find('.rickshaw_chart');
+      if (graph.length) {
+        legend_name = graph.attr('id').replace('chart_','');
+      }
+      legend_name = '#legend_'+legend_name;
+      $('#graph-legend-container > *').hide();
+      $('#graph-legend-container .instructions').show();
+      $(legend_name).show();
+    }
+  );
+  /* The first tab might already have been shown */
+  $('li.active > a[data-toggle="hashtab"]').trigger('shown');
+};
+
+CKAN.GA_Reports.bind_month_selector = function() {
+  var handler = function(e) { 
+    var target = $(e.delegateTarget);
+    var form = target.closest('form');
+    var url = form.attr('action')+'?month='+target.val()+window.location.hash;
+    window.location = url;
+  };
+  var selectors = $('select[name="month"]');
+  assert(selectors.length>0);
+  selectors.bind('change', handler);
+};
+

--- /dev/null
+++ b/ckanext/ga_report/public/scripts/rickshaw_ie7_shim.js
@@ -1,1 +1,109 @@
+/* 
+ * Collection of shims to allow d3 and Rickshaw to load, error-free
+ * (but ultimately unusable) on Internet Explorer 7. The browser's
+ * API lacks several crucial functions which these libraries depend
+ * upon to load; we try to hide these errors from the user.
+ *
+ * With thanks to Array functions from:
+ * http://stackoverflow.com/questions/2790001/fixing-javascript-array-functions-in-internet-explorer-indexof-foreach-etc
+ *
+ * Use (Modernizr.svg==true) to detect whether it's okay to draw a graph.
+ */
+'use strict';
 
+window.Element = window.Element || {'prototype': {}};
+window.CSSStyleDeclaration = window.CSSStyleDeclaration || {'prototype':{}};
+
+// Add ECMA262-5 method binding if not supported natively
+//
+if (!('bind' in Function.prototype)) {
+    Function.prototype.bind= function(owner) {
+        var that= this;
+        if (arguments.length<=1) {
+            return function() {
+                return that.apply(owner, arguments);
+            };
+        } else {
+            var args= Array.prototype.slice.call(arguments, 1);
+            return function() {
+                return that.apply(owner, arguments.length===0? args : args.concat(Array.prototype.slice.call(arguments)));
+            };
+        }
+    };
+}
+
+// Add ECMA262-5 string trim if not supported natively
+//
+if (!('trim' in String.prototype)) {
+    String.prototype.trim= function() {
+        return this.replace(/^\s+/, '').replace(/\s+$/, '');
+    };
+}
+
+// Add ECMA262-5 Array methods if not supported natively
+//
+if (!('indexOf' in Array.prototype)) {
+    Array.prototype.indexOf= function(find, i /*opt*/) {
+        if (i===undefined) i= 0;
+        if (i<0) i+= this.length;
+        if (i<0) i= 0;
+        for (var n= this.length; i<n; i++)
+            if (i in this && this[i]===find)
+                return i;
+        return -1;
+    };
+}
+if (!('lastIndexOf' in Array.prototype)) {
+    Array.prototype.lastIndexOf= function(find, i /*opt*/) {
+        if (i===undefined) i= this.length-1;
+        if (i<0) i+= this.length;
+        if (i>this.length-1) i= this.length-1;
+        for (i++; i-->0;) /* i++ because from-argument is sadly inclusive */
+            if (i in this && this[i]===find)
+                return i;
+        return -1;
+    };
+}
+if (!('forEach' in Array.prototype)) {
+    Array.prototype.forEach= function(action, that /*opt*/) {
+        for (var i= 0, n= this.length; i<n; i++)
+            if (i in this)
+                action.call(that, this[i], i, this);
+    };
+}
+if (!('map' in Array.prototype)) {
+    Array.prototype.map= function(mapper, that /*opt*/) {
+        var other= new Array(this.length);
+        for (var i= 0, n= this.length; i<n; i++)
+            if (i in this)
+                other[i]= mapper.call(that, this[i], i, this);
+        return other;
+    };
+}
+if (!('filter' in Array.prototype)) {
+    Array.prototype.filter= function(filter, that /*opt*/) {
+        var other= [], v;
+        for (var i=0, n= this.length; i<n; i++)
+            if (i in this && filter.call(that, v= this[i], i, this))
+                other.push(v);
+        return other;
+    };
+}
+if (!('every' in Array.prototype)) {
+    Array.prototype.every= function(tester, that /*opt*/) {
+        for (var i= 0, n= this.length; i<n; i++)
+            if (i in this && !tester.call(that, this[i], i, this))
+                return false;
+        return true;
+    };
+}
+if (!('some' in Array.prototype)) {
+    Array.prototype.some= function(tester, that /*opt*/) {
+        for (var i= 0, n= this.length; i<n; i++)
+            if (i in this && tester.call(that, this[i], i, this))
+                return true;
+        return false;
+    };
+}
+
+

--- /dev/null
+++ b/ckanext/ga_report/public/scripts/vendor/d3.layout.min.js
@@ -1,1 +1,1 @@
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