#167 JS development of hashchange-dependant tabbing mechanism, and of Rickshaw graphs with separate legends.
#167 JS development of hashchange-dependant tabbing mechanism, and of Rickshaw graphs with separate legends.

--- 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',
@@ -161,7 +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).\
@@ -178,7 +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 ])
@@ -203,7 +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,
@@ -252,7 +297,9 @@
         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.values()) )
+
         return render('ga_report/publisher/index.html')
 
     def _get_packages(self, publisher=None, count=-1):
@@ -284,8 +331,9 @@
                         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 +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):
     '''
@@ -359,11 +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/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()
@@ -227,7 +227,7 @@
     stores them in GA_Url under the period and recalculates the totals for
     the 'All' period.
     '''
-    progress_total = len(progress_data)
+    progress_total = len(url_data)
     progress_count = 0
     for url, views, visits in url_data:
         progress_count += 1

--- 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 +1,33 @@
+.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 {
+  background: transparent;
+  width: 100%;
+}
+.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 +1,114 @@
 
+var CKAN = CKAN || {};
+CKAN.GA_Reports = {};
+
+CKAN.GA_Reports.render_rickshaw = function( css_name, data, mode, colorscheme ) {
+    var graphLegends = $('#graph-legend-container');
+    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();
+    });
+
+    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();
+};
+
+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.
+   */
+  $('a[href="#totals"]').on(
+    'shown', 
+    function() {
+      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);
+    }
+  );
+};
+
+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="hashchange"]').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();
+      $(legend_name).show();
+    }
+  );
+};
+
+/* 
+ * Custom bootstrap plugin for handling data-toggle="hashchange".
+ * Behaves like data-toggle="tab" but I respond to the hashchange.
+ * Page state is memo-ized in the URL this way. Why doesn't Bootstrap do this?
+ */
+$(function() {
+  var mapping = {};
+  $('a[data-toggle="hashchange"]').each(
+    function(i,link) {
+      link = $(link);
+      mapping[link.attr('href')] = link;
+    }
+  );
+  $(window).hashchange(function() {
+    var link = mapping[window.location.hash];
+    if (link) { link.tab('show'); }
+  });
+});
+

--- /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));
+  }