Added product sales updating in realtime

main/models.py

@@ -36,7 +36,7 @@ class OrderLine(models.Model):
 	unit_price = models.FloatField()
 
 	def __unicode__(self):
-		return "{1} {0} ({2} kr per)".format(self.product, self.amount, self.unit_price)
+	    return u"{1} {0} ({2} kr per)".format(self.product, self.amount, self.unit_price)
 
 	class Meta:
 	    unique_together = ('order', 'product')

main/urls.py

@@ -8,8 +8,10 @@ urlpatterns = patterns('main.views',
     url(r'^stats/$', 'stats', name='stats'),
     url(r'^stats/orders/$', 'stats_orders', name='stats-orders'),
     url(r'^stats/orders/hourly$', 'stats_orders_hourly', name='stats-orders-hourly'),
+    url(r'^stats/orders/products_realtime$', 'stats_products_realtime', name='stats-products-realtime'),
     url(r'^stats/products/$', 'stats_products', name='stats-products'),
     url(r'^stats/products/(?P<product>[0-9]+)/$', 'stats_products', name='stats-product'),
     url(r'^products/(?P<product_id>[0-9]+)/$', 'products', name='json-product'),
     url(r'^products/$', 'products', name='json-products'),
+    url("", include('django_socketio.urls'))
 )

main/views.py

@@ -3,6 +3,7 @@ from datetime import datetime
 from datetime import timedelta
 from itertools import groupby
 import simplejson as json
+import time
 
 from django.contrib.auth import login, logout as auth_logout
 from django.contrib.auth.decorators import login_required
@@ -171,7 +172,7 @@ def stats_product(product):
     per_user = sales.values('order__customer__first_name','order__customer__last_name').annotate(num=Sum('amount')).order_by('num').reverse()
     f_per_user = []
     for row in per_user:
-        who = row['order__customer__first_name'] + " " + row['order__customer__last_name'][0]
+        who = row['order__customer__first_name'] + " " + row['order__customer__last_name']
         num = row['num']
         f_per_user.append([who, num])
     response = {
@@ -206,7 +207,7 @@ def stats_orders(request):
     per_user = Order.objects.values('customer__first_name','customer__last_name').annotate(num=Count('customer')).order_by('num').reverse()
     f_per_user = []
     for row in per_user:
-        who = row['customer__first_name'] + " " + row['customer__last_name'][0]
+        who = row['customer__first_name'] + " " + row['customer__last_name']
         num = row['num']
         f_per_user.append([who, num])
     return HttpResponse(json.dumps(f_per_user), content_type='application/javascript; charset=utf8')
@@ -226,6 +227,31 @@ def stats_orders_hourly(request):
     }
     return HttpResponse(json.dumps(response), content_type='application/javascript; charset=utf8')
     
+def stats_products_realtime(request):
+    end_time = datetime.now()
+    start_time = datetime.now() - timedelta(hours=24)
+    
+    order_lines = OrderLine.objects.filter(order__created__range=(start_time, end_time)).order_by("order__created")
+    products = {}
+    for order_line in order_lines:
+        order_time_in_milliseconds = int(time.mktime(order_line.order.created.timetuple()) * 1000)
+        if order_line.product not in products:
+            products[order_line.product] = [[order_time_in_milliseconds, order_line.amount]]
+        else:
+            prev_entry = products[order_line.product][-1]
+            products[order_line.product].append([order_time_in_milliseconds, prev_entry[1] + order_line.amount])
+    
+    serialized_products = {}
+    for product, value in products.iteritems():
+        serialized_products[product.name] = value
+        
+    response = {
+        'products': serialized_products
+    }
+    
+    return HttpResponse(json.dumps(response), content_type='application/javascript; charset=utf8')
+
+
 def logout(request):
     auth_logout(request)
     return render_to_response('registration/logout.html', locals(), context_instance=RequestContext(request))

static/js/stats.js

@@ -4,6 +4,7 @@ $(document).ready(function() {
     var products_url = '/stats/products/';
     var order_url = '/stats/orders/';
     var order_hourly_url = '/stats/orders/hourly';
+    var products_realtime_url = '/stats/orders/products_realtime'
 
     /* orders */
     $.getJSON(order_url, function(data) {
@@ -139,7 +140,7 @@ $(document).ready(function() {
                 column: {
                     minPointLength: 3,
                 },
-                series: {
+                series: {
                     groupPadding: 0,
                     pointPadding: 0.05,
                 },
@@ -151,4 +152,85 @@ $(document).ready(function() {
         };
         charts.push(new Highcharts.Chart(options));
     });
+    
+    var products_realtime_chart = new Highcharts.Chart({
+        chart: {
+            renderTo: 'products_realtime_chart'
+        },
+        title: {
+            text: "Produkter solgt over tid"
+        },
+        xAxis: {
+            type: "datetime"
+        },
+        yAxis: {
+            title: {
+                text: "Antall solgt"
+            }            
+        },
+        
+        plotOptions: {
+            series: {
+                marker: {
+                    radius: 3
+                }
+            }
+        },
+        
+        series: {}
+    });
+    charts.push(products_realtime_chart);
+    
+    function parse_products_realtime_data(data) {
+        var chart = products_realtime_chart;
+        
+        for (product in data.products) {
+            if (chart.get(product) === null) {
+                chart.addSeries({
+                    data: [],
+                    id: product,
+                    name: product
+                });
+                
+                var series = chart.get(product);
+                _.each(data.products[product], function(point) {
+                    series.addPoint({
+                        id: point[0],
+                        x: point[0],
+                        y: point[1]
+                    });
+                });
+            }
+            else {
+                var series = chart.get(product);
+                _.each(data.products[product], function(point) {
+                    if (chart.get(point[0]) === null) {
+                        series.addPoint({
+                            id: point[0],
+                            x: point[0],
+                            y: point[1]
+                        });
+                    }
+                });
+            }
+        }
+    }
+    
+    function get_products_realtime_data() {
+        var that = this;
+        $.ajax( {
+            url: products_realtime_url,
+            dataType: "json",
+            success: function (data) {
+                parse_products_realtime_data(data);
+                
+                setTimeout(function () {
+                    get_products_realtime_data();
+                }, 15000);
+            },
+            cache: false
+        });
+    }
+    
+    get_products_realtime_data();
 });

static/js/underscore-min.js

@@ -0,0 +1,32 @@
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+this._chain)}});j(["concat","join","slice"],function(a){var b=k[a];m.prototype[a]=function(){return x(b.apply(this._wrapped,arguments),this._chain)}});m.prototype.chain=function(){this._chain=true;return this};m.prototype.value=function(){return this._wrapped}}).call(this);

templates/stats.html

@@ -5,6 +5,13 @@
 
 {% block content %}
 <section id="stats" class="row-fluid">
+    <section id="products_realtime" class="row-fluid">
+        <div class="span12">
+            <h2>Realtime produkter</h2>
+            <div id="products_realtime_chart"></div>
+        </div>
+    </section>
+        
     <section id="product" class="row-fluid">
         <h2>Produkter</h2>
         {% for product in products %}
@@ -29,12 +36,15 @@
         </div>
     </section>
     
+
+
 </section>
 {% endblock %}
 {% block tailinc %}
     <script src="{{ STATIC_URL }}js/bootstrap-typeahead.js"></script>
     <script src="{{ STATIC_URL }}js/bootstrap-tooltip.js"></script>
     <script src="{{ STATIC_URL }}js/highcharts.js"></script>
+    <script src="{{ STATIC_URL }}js/underscore-min.js"></script>
     <script src="{{ STATIC_URL }}js/stats.js"></script>
 {% endblock %}