Remove logging
Remove logging

--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -191,25 +191,11 @@
             q = model.Session.query(GA_Stat).\
                 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).\
                           order_by('ga_stat.value::int desc')
-
             d = collections.defaultdict(int)
             for e in q.all():
                 d[e.key] += int(e.value)
@@ -218,6 +204,23 @@
                 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, 
+                    'raw': {}
+                    })
+                graph_dict[ stat.key ]['raw'][stat.period_name] = 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':
@@ -246,7 +249,7 @@
         writer = csv.writer(response)
         writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
 
-        top_publishers, top_publishers_graph = _get_top_publishers(None)
+        top_publishers = _get_top_publishers(limit=None)
 
         for publisher,view,visit in top_publishers:
             writer.writerow([publisher.title.encode('utf-8'),
@@ -268,7 +271,7 @@
             if not c.publisher:
                 abort(404, 'A publisher with that name could not be found')
 
-        packages = self._get_packages(c.publisher)
+        packages = self._get_packages(publisher=c.publisher, month=c.month)
         response.headers['Content-Type'] = "text/csv; charset=utf-8"
         response.headers['Content-Disposition'] = \
             str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
@@ -297,15 +300,16 @@
         if c.month:
             c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
 
-        c.top_publishers, graph_data = _get_top_publishers()
-        c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data.values()) )
+        c.top_publishers = _get_top_publishers()
+        graph_data = _get_top_publishers_graph()
+        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):
+    def _get_packages(self, publisher=None, month='', count=-1):
         '''Returns the datasets in order of views'''
         have_download_data = True
-        month = c.month or 'All'
+        month = month or 'All'
         if month != 'All':
             have_download_data = month >= DOWNLOADS_AVAILABLE_FROM
 
@@ -382,78 +386,71 @@
         entry = q.filter(GA_Url.period_name==c.month).first()
         c.publisher_page_views = entry.pageviews if entry else 0
 
-        c.top_packages = self._get_packages(c.publisher, 20)
+        c.top_packages = self._get_packages(publisher=c.publisher, count=20, month=c.month)
 
         # Graph query
-        top_package_names = [ x[0].name for x in c.top_packages ]
+        top_packages_all_time = self._get_packages(publisher=c.publisher, count=20, month='All')
+        top_package_names = [ x[0].name for x in top_packages_all_time ]
         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 = {}
+        all_series = {}
         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,{
+            all_series[package.name] = all_series.get(package.name,{
                 'name':package.title,
-                'data':[]
+                'raw': {}
                 })
-            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()) )
+            all_series[package.name]['raw'][entry.period_name] = int(entry.pageviews)
+        graph = [ all_series[series_name] for series_name 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
-    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]
+    # x-axis is every month in c.months. Note that data might not exist 
+    # for entire history, eg. for recently-added datasets
+    x_axis = [x[0] for x in c.months]
+    x_axis.reverse() # Ascending order
+    x_axis = x_axis[:-1] # Remove latest month
+    totals = {}
+    for series in data:
+        series['data'] = []
+        for x_string in x_axis:
+            x = _get_unix_epoch( x_string )
+            y = series['raw'].get(x_string,0)
+            series['data'].append({'x':x,'y':y})
+            totals[x] = totals.get(x,0)+y
+    if not percentageMode:
+        return data
+    # Turn all data into percentages
+    # Roll insignificant series into a catch-all
+    THRESHOLD = 1
+    raw_data = data
+    data = []
+    for series in raw_data:
+        for point in series['data']:
+            percentage = (100*float(point['y'])) / totals[point['x']]
+            if not (series in data) and percentage>THRESHOLD:
+                data.append(series)
+            point['y'] = percentage
+    others = [ x for x in raw_data if not (x in data) ]
+    if len(others):
+        data_other = []
+        for i in range(len(x_axis)):
+            x = _get_unix_epoch(x_axis[i])
+            y = 0
+            for series in others: 
+                y += series['data'][i]['y']
+            data_other.append({'x':x,'y':y})
+        data.append({ 
+            'name':'Other',
+            'data': data_other
+            })
     return data
 
 
@@ -478,35 +475,51 @@
 
     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]))
-
-    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
+    return top_publishers
+
+
+def _get_top_publishers_graph(limit=20):
+    '''
+    Returns a list of the top 20 publishers by dataset visits.
+    (The number to show can be varied with 'limit')
+    '''
+    connection = model.Session.connection()
+    q = """
+        select department_id, sum(pageviews::int) views
+        from ga_url
+        where department_id <> ''
+          and package_id <> ''
+          and url like '/dataset/%%'
+          and period_name='All'
+        group by department_id order by views desc
+        """
+    if limit:
+        q = q + " limit %s;" % (limit)
+
+    res = connection.execute(q)
+    department_ids = [ row[0] for row in res ]
+
+    # Query for a history graph of these department ids
+    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.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,
+            'raw' : {}
+            })
+        graph_dict[dept_id]['raw'][period_name] = views
+    return [ graph_dict[id] for id in department_ids ]
 
 
 def _get_publishers():

--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -1,6 +1,7 @@
 import os
 import logging
 import datetime
+import httplib
 import collections
 from pylons import config
 from ga_model import _normalize_url
@@ -178,15 +179,20 @@
 
         # Supported query params at
         # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
-        results = self.service.data().ga().get(
-                                 ids='ga:' + self.profile_id,
-                                 filters=query,
-                                 start_date=start_date,
-                                 metrics=metrics,
-                                 sort=sort,
-                                 dimensions="ga:pagePath",
-                                 max_results=10000,
-                                 end_date=end_date).execute()
+        try:
+            results = self.service.data().ga().get(
+                                     ids='ga:' + self.profile_id,
+                                     filters=query,
+                                     start_date=start_date,
+                                     metrics=metrics,
+                                     sort=sort,
+                                     dimensions="ga:pagePath",
+                                     max_results=10000,
+                                     end_date=end_date).execute()
+        except httplib.BadStatusLine:
+            log.error(u"Failed to download data=> ids: ga:{0}, filters: {1}, start_date: {2}, end_date: {3}, metrics: {4}, sort: {5}, dimensions: ga:pagePath".format(
+                self.profile_id, query, start_date, end_date, metrics, sort ))
+            return dict(url=[])
 
         packages = []
         log.info("There are %d results" % results['totalResults'])

--- a/ckanext/ga_report/ga_model.py
+++ b/ckanext/ga_report/ga_model.py
@@ -214,7 +214,7 @@
                   'pageviews': views[key],
                   'visits': visits[key],
                   'department_id': publisher,
-                  'package_id': publisher
+                  'package_id': package
                   }
         model.Session.add(GA_Url(**values))
     model.Session.commit()
@@ -381,11 +381,8 @@
            order_by(model.Group.name).all()
 
 def get_children(publisher):
-    '''Finds child publishers for the given publisher (object). (Not recursive)'''
-    from ckan.model.group import HIERARCHY_CTE
-    return model.Session.query(model.Group).\
-           from_statement(HIERARCHY_CTE).params(id=publisher.id, type='publisher').\
-           all()
+    '''Finds child publishers for the given publisher (object). (Not recursive i.e. returns one level)'''
+    return publisher.get_children_groups(type='organization')
 
 def go_down_tree(publisher):
     '''Provided with a publisher object, it walks down the hierarchy and yields each publisher,

--- a/ckanext/ga_report/helpers.py
+++ b/ckanext/ga_report/helpers.py
@@ -80,7 +80,7 @@
     return base.render_snippet('ga_report/ga_popular_single.html', **context)
 
 
-def most_popular_datasets(publisher, count=20):
+def most_popular_datasets(publisher, count=20, preview_image=None):
 
     if not publisher:
         _log.error("No valid publisher passed to 'most_popular_datasets'")
@@ -92,7 +92,8 @@
         'dataset_count': len(results),
         'datasets': results,
 
-        'publisher': publisher
+        'publisher': publisher,
+        'preview_image': preview_image
     }
 
     return base.render_snippet('ga_report/publisher/popular.html', **ctx)
@@ -106,12 +107,18 @@
     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.state == 'active':
+                _log.warning("Package {0} is not active, it is {1}".format(p.name, p.state))
+                continue
+
             if not p in datasets:
                 datasets[p] = {'views':0, 'visits': 0}
+                
             datasets[p]['views'] = datasets[p]['views'] + int(entry.pageviews)
             datasets[p]['visits'] = datasets[p]['visits'] + int(entry.visits)
 
@@ -121,3 +128,17 @@
 
     return sorted(results, key=operator.itemgetter(1), reverse=True)
 
+def month_option_title(month_iso, months, day):
+    month_isos = [ iso_code for (iso_code,name) in months ]
+    try:
+        index = month_isos.index(month_iso)
+    except ValueError:
+        _log.error('Month "%s" not found in list of months.' % month_iso)
+        return month_iso
+    month_name = months[index][1]
+    if index==0:
+        return month_name + (' (up to %s)'%day)
+    return month_name
+
+
+

--- a/ckanext/ga_report/plugin.py
+++ b/ckanext/ga_report/plugin.py
@@ -5,7 +5,8 @@
 
 from ckanext.ga_report.helpers import (most_popular_datasets,
                                        popular_datasets,
-                                       single_popular_dataset)
+                                       single_popular_dataset,
+                                       month_option_title)
 
 log = logging.getLogger('ckanext.ga-report')
 
@@ -27,7 +28,8 @@
             'ga_report_installed': lambda: True,
             'popular_datasets': popular_datasets,
             'most_popular_datasets': most_popular_datasets,
-            'single_popular_dataset': single_popular_dataset
+            'single_popular_dataset': single_popular_dataset,
+            'month_option_title': month_option_title
         }
 
     def after_map(self, map):

--- a/ckanext/ga_report/public/css/ga_report.css
+++ b/ckanext/ga_report/public/css/ga_report.css
@@ -2,6 +2,11 @@
   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;
@@ -16,16 +21,9 @@
   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;
+  width: 100%;
+  padding-top: 4px;
 }
 .rickshaw_y_axis {
   position: absolute;
@@ -38,4 +36,34 @@
   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;
+}
+.ga-reports-heading {
+  padding-right: 10px;
+  margin-top: 4px;
+  float: left;
+}
+

--- a/ckanext/ga_report/public/scripts/ckanext_ga_reports.js
+++ b/ckanext/ga_report/public/scripts/ckanext_ga_reports.js
@@ -1,12 +1,34 @@
-
 var CKAN = CKAN || {};
 CKAN.GA_Reports = {};
 
 CKAN.GA_Reports.render_rickshaw = function( css_name, data, mode, colorscheme ) {
+    var graphLegends = $('#graph-legend-container');
+
+    function renderError(alertClass,alertText,legendText) {
+        $("#chart_"+css_name)
+          .html( '<div class="alert '+alertClass+'">'+alertText+'</div>')
+          .closest('.rickshaw_chart_container').css('height',50);
+        var myLegend = $('<div id="legend_'+css_name+'"/>')
+          .html(legendText)
+          .appendTo(graphLegends);
+    }
+
+    if (!Modernizr.svg) {
+        renderError('','Your browser does not support vector graphics. No graphs can be rendered.','(Graph cannot be rendered)');
+        return;
+    }
+    if (data.length==0) {
+        renderError('alert-info','There is not enough data to render a graph.','(No graph available)');
+        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);
 
@@ -16,27 +38,95 @@
         series: data ,
         height: 328
     });
-    var x_axis = new Rickshaw.Graph.Axis.Time( { graph: graph } );
+    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),
+        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( {
+    var shelving = new Rickshaw.Graph.Behavior.Series.Toggle( {
       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;
-      }
+      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/modernizr-2.6.2.custom.js
@@ -1,1 +1,815 @@
-
+/* Modernizr 2.6.2 (Custom Build) | MIT & BSD
+ * Build: http://modernizr.com/download/#-fontface-backgroundsize-borderimage-borderradius-boxshadow-flexbox-hsla-multiplebgs-opacity-rgba-textshadow-cssanimations-csscolumns-generatedcontent-cssgradients-cssreflections-csstransforms-csstransforms3d-csstransitions-applicationcache-canvas-canvastext-draganddrop-hashchange-history-audio-video-indexeddb-input-inputtypes-localstorage-postmessage-sessionstorage-websockets-websqldatabase-webworkers-geolocation-inlinesvg-smil-svg-svgclippaths-touch-webgl-shiv-cssclasses-addtest-prefixed-teststyles-testprop-testallprops-hasevent-prefixes-domprefixes-load
+ */
+;
+
+
+
+window.Modernizr = (function( window, document, undefined ) {
+
+    var version = '2.6.2',
+
+    Modernizr = {},
+
+    enableClasses = true,
+
+    docElement = document.documentElement,
+
+    mod = 'modernizr',
+    modElem = document.createElement(mod),
+    mStyle = modElem.style,
+
+    inputElem  = document.createElement('input')  ,
+
+    smile = ':)',
+
+    toString = {}.toString,
+
+    prefixes = ' -webkit- -moz- -o- -ms- '.split(' '),
+
+
+
+    omPrefixes = 'Webkit Moz O ms',
+
+    cssomPrefixes = omPrefixes.split(' '),
+
+    domPrefixes = omPrefixes.toLowerCase().split(' '),
+
+    ns = {'svg': 'http://www.w3.org/2000/svg'},
+
+    tests = {},
+    inputs = {},
+    attrs = {},
+
+    classes = [],
+
+    slice = classes.slice,
+
+    featureName, 
+
+
+    injectElementWithStyles = function( rule, callback, nodes, testnames ) {
+
+      var style, ret, node, docOverflow,
+          div = document.createElement('div'),
+                body = document.body,
+                fakeBody = body || document.createElement('body');
+
+      if ( parseInt(nodes, 10) ) {
+                      while ( nodes-- ) {
+              node = document.createElement('div');
+              node.id = testnames ? testnames[nodes] : mod + (nodes + 1);
+              div.appendChild(node);
+          }
+      }
+
+                style = ['&#173;','<style id="s', mod, '">', rule, '</style>'].join('');
+      div.id = mod;
+          (body ? div : fakeBody).innerHTML += style;
+      fakeBody.appendChild(div);
+      if ( !body ) {
+                fakeBody.style.background = '';
+                fakeBody.style.overflow = 'hidden';
+          docOverflow = docElement.style.overflow;
+          docElement.style.overflow = 'hidden';
+          docElement.appendChild(fakeBody);
+      }
+
+      ret = callback(div, rule);
+        if ( !body ) {
+          fakeBody.parentNode.removeChild(fakeBody);
+          docElement.style.overflow = docOverflow;
+      } else {
+          div.parentNode.removeChild(div);
+      }
+
+      return !!ret;
+
+    },
+
+
+
+    isEventSupported = (function() {
+
+      var TAGNAMES = {
+        'select': 'input', 'change': 'input',
+        'submit': 'form', 'reset': 'form',
+        'error': 'img', 'load': 'img', 'abort': 'img'
+      };
+
+      function isEventSupported( eventName, element ) {
+
+        element = element || document.createElement(TAGNAMES[eventName] || 'div');
+        eventName = 'on' + eventName;
+
+            var isSupported = eventName in element;
+
+        if ( !isSupported ) {
+                if ( !element.setAttribute ) {
+            element = document.createElement('div');
+          }
+          if ( element.setAttribute && element.removeAttribute ) {
+            element.setAttribute(eventName, '');
+            isSupported = is(element[eventName], 'function');
+
+                    if ( !is(element[eventName], 'undefined') ) {
+              element[eventName] = undefined;
+            }
+            element.removeAttribute(eventName);
+          }
+        }
+
+        element = null;
+        return isSupported;
+      }
+      return isEventSupported;
+    })(),
+
+
+    _hasOwnProperty = ({}).hasOwnProperty, hasOwnProp;
+
+    if ( !is(_hasOwnProperty, 'undefined') && !is(_hasOwnProperty.call, 'undefined') ) {
+      hasOwnProp = function (object, property) {
+        return _hasOwnProperty.call(object, property);
+      };
+    }
+    else {
+      hasOwnProp = function (object, property) { 
+        return ((property in object) && is(object.constructor.prototype[property], 'undefined'));
+      };
+    }
+
+
+    if (!Function.prototype.bind) {
+      Function.prototype.bind = function bind(that) {
+
+        var target = this;
+
+        if (typeof target != "function") {
+            throw new TypeError();
+        }
+
+        var args = slice.call(arguments, 1),
+            bound = function () {
+
+            if (this instanceof bound) {
+
+              var F = function(){};
+              F.prototype = target.prototype;
+              var self = new F();
+
+              var result = target.apply(
+                  self,
+                  args.concat(slice.call(arguments))
+              );
+              if (Object(result) === result) {