From: Ross Jones <rossdjones@gmail.com>
Date: Thu, 25 Oct 2012 14:52:26 +0000
Subject: Change the rules for top datasets
X-Git-Url: http://maxious.lambdacomplex.org/git/?p=ckanext-ga-report.git&a=commitdiff&h=63e0fea8902deac8c94761974bf16c809d6d8efd
---
Change the rules for top datasets
---


--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -34,7 +34,6 @@
             filter(GA_Stat.period_name==month).\
             order_by('GA_Stat.stat_name, GA_Stat.key').all()
 
-        #response.headers['Content-disposition'] = 'attachment; filename=dgu_analytics_%s.csv' % (month,)
         response.headers['Content-Type'] = "text/csv; charset=utf-8"
 
         writer = csv.writer(response)
@@ -96,13 +95,12 @@
         # Work out which month to show, based on query params of the first item
         c.month = request.params.get('month', c.months[0][0] if c.months else '')
         c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
-
+#                and not url like '/publisher/%%'
         connection = model.Session.connection()
         q = """
             select department_id, sum(pageviews::int) views, sum(visitors::int) visits
             from ga_url
             where department_id <> ''
-                and not url like '/publisher/%%'
                 and period_name=%s
             group by department_id order by views desc limit 20;
         """

--- a/ckanext/ga_report/plugin.py
+++ b/ckanext/ga_report/plugin.py
@@ -18,7 +18,7 @@
 
     def after_map(self, map):
         map.connect(
-            '/data/analytics/publisher/',
+            '/data/analytics/publisher',
             controller='ckanext.ga_report.controller:GaPublisherReport',
             action='index'
         )

--- a/ckanext/ga_report/templates/ga_report/publisher/index.html
+++ b/ckanext/ga_report/templates/ga_report/publisher/index.html
@@ -8,6 +8,7 @@
   <py:match path="primarysidebar">
     <li class="widget-container boxed widget_text">
       <h4>Publishers</h4>
+      <p>The table shows the top 20 publishers as recorded by page views of datasets owned by that publisher, and the number of visits to each publisher's home page.</p>
     </li>
   </py:match>