From: Ross Jones
Date: Tue, 30 Oct 2012 16:40:05 +0000
Subject: Moved minor nav into util file and implemented
X-Git-Url: https://maxious.lambdacomplex.org/git/?p=ckanext-ga-report.git&a=commitdiff&h=d4ea62230eb7c98b2d8feef04739e843d42262b0
---
Moved minor nav into util file and implemented
---
--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -1,5 +1,7 @@
+import re
import logging
import operator
+import collections
from ckan.lib.base import BaseController, c, render, request, response, abort
import sqlalchemy
@@ -30,9 +32,10 @@
def csv(self, month):
import csv
- entries = model.Session.query(GA_Stat).\
- filter(GA_Stat.period_name==month).\
- order_by('GA_Stat.stat_name, GA_Stat.key').all()
+ q = model.Session.query(GA_Stat)
+ if month != 'all':
+ q = q.filter(GA_Stat.period_name==month)
+ entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all()
response.headers['Content-Type'] = "text/csv; charset=utf-8"
@@ -52,26 +55,46 @@
c.months = _month_details(GA_Stat)
# 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])
-
- entries = model.Session.query(GA_Stat).\
- filter(GA_Stat.stat_name=='Totals').\
- filter(GA_Stat.period_name==c.month).\
- order_by('ga_stat.key').all()
-
- c.global_totals = []
- for e in entries:
- val = e.value
- if e.key in ['Average time on site', 'Pages per visit', 'Percent new visits']:
- val = "%.2f" % round(float(e.value), 2)
- if e.key == 'Average time on site':
+ c.month_desc = 'all time'
+ c.month = request.params.get('month', '')
+ if c.month:
+ c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
+
+ q = model.Session.query(GA_Stat).\
+ filter(GA_Stat.stat_name=='Totals')
+ if c.month:
+ q = q.filter(GA_Stat.period_name==c.month)
+ entries = q.order_by('ga_stat.key').all()
+
+ def clean_key(key, val):
+ if key in ['Average time on site', 'Pages per visit', 'Percent new visits']:
+ val = "%.2f" % round(float(val), 2)
+ if key == 'Average time on site':
mins, secs = divmod(float(val), 60)
hours, mins = divmod(mins, 60)
val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val)
- e.key = '%s *' % e.key
- c.global_totals.append((e.key, val))
-
+ key = '%s *' % key
+ if key in ['Bounces', 'Total pageviews']:
+ val = int(val)
+ return key, val
+
+ c.global_totals = []
+ if c.month:
+ for e in entries:
+ key, val = clean_key(e.key, e.value)
+ c.global_totals.append((key, val))
+ else:
+ d = collections.defaultdict(list)
+ for e in entries:
+ d[e.key].append(float(e.value))
+ for k, v in d.iteritems():
+ if k in ['Bounces', 'Total pageviews']:
+ v = sum(v)
+ else:
+ v = float(sum(v))/len(v)
+ key, val = clean_key(k,v)
+ c.global_totals.append((key, val))
+ c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
keys = {
'Browser versions': 'browsers',
@@ -81,12 +104,45 @@
'Country': 'country'
}
+ browser_version_re = re.compile("(.*)\((.*)\)")
for k, v in keys.iteritems():
- entries = model.Session.query(GA_Stat).\
- filter(GA_Stat.stat_name==k).\
- filter(GA_Stat.period_name==c.month).\
- order_by('ga_stat.value::int desc').all()
- setattr(c, v, [(s.key, s.value) for s in entries ])
+
+ def clean_field(key):
+ if k != 'Browser versions':
+ return key
+ m = browser_version_re.match(key)
+ browser = m.groups()[0].strip()
+ ver = m.groups()[1]
+ parts = ver.split('.')
+ if len(parts) > 1:
+ if parts[1][0] == '0':
+ ver = parts[0]
+ else:
+ ver = "%s.%s" % (parts[0],parts[1])
+ if browser in ['Safari','Android Browser']: # Special case complex version nums
+ ver = parts[0]
+ if len(ver) > 2:
+ ver = "%s%sX" % (ver[0], ver[1])
+
+ return "%s (%s)" % (browser, ver,)
+
+ q = model.Session.query(GA_Stat).\
+ filter(GA_Stat.stat_name==k)
+ 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[clean_field(e.key)] += int(e.value)
+ entries = []
+ for key, val in d.iteritems():
+ entries.append((key,val,))
+ entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
+
+ setattr(c, v, [(k,v) for k,v in entries ])
+
return render('ga_report/site/index.html')
@@ -105,23 +161,31 @@
c.months = _month_details(GA_Url)
# 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])
+ c.month = request.params.get('month', '')
+ c.month_desc = 'all time'
+ if c.month:
+ c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
connection = model.Session.connection()
q = """
select department_id, sum(pageviews::int) views, sum(visitors::int) visits
from ga_url
- where department_id <> ''
- and period_name=%s
- group by department_id order by views desc limit 20;
- """
+ where department_id <> ''"""
+ if c.month:
+ q = q + """
+ and period_name=%s
+ """
+ q = q + """
+ group by department_id order by views desc limit 20;
+ """
+
# Add this back (before and period_name =%s) if you want to ignore publisher
# homepage views
# and not url like '/publisher/%%'
c.top_publishers = []
res = connection.execute(q, c.month)
+
for row in res:
c.top_publishers.append((model.Group.get(row[0]), row[1], row[2]))
@@ -129,6 +193,7 @@
def read(self, id):
+ count = 20
c.publisher = model.Group.get(id)
if not c.publisher:
@@ -140,22 +205,50 @@
c.months = _month_details(GA_Url)
# 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])
-
- entry = model.Session.query(GA_Url).\
- filter(GA_Url.url=='/publisher/%s' % c.publisher.name).\
- filter(GA_Url.period_name==c.month).first()
- c.publisher_page_views = entry.pageviews if entry else 0
-
- entries = model.Session.query(GA_Url).\
+ c.month = request.params.get('month', '')
+ if not c.month:
+ c.month_desc = 'all time'
+ else:
+ c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
+
+ c.publisher_page_views = 0
+ q = model.Session.query(GA_Url).\
+ filter(GA_Url.url=='/publisher/%s' % c.publisher.name)
+ if c.month:
+ entry = q.filter(GA_Url.period_name==c.month).first()
+ c.publisher_page_views = entry.pageviews if entry else 0
+ else:
+ for e in q.all():
+ c.publisher_page_views = c.publisher_page_views + int(e.pageviews)
+
+
+ q = model.Session.query(GA_Url).\
filter(GA_Url.department_id==c.publisher.name).\
- filter(GA_Url.period_name==c.month).\
- order_by('ga_url.pageviews::int desc')[:20]
- for entry in entries:
- if entry.url.startswith('/dataset/'):
+ filter(GA_Url.url.like('/dataset/%'))
+ if c.month:
+ q = q.filter(GA_Url.period_name==c.month)
+ q = q.order_by('ga_url.pageviews::int desc')
+
+ if c.month:
+ for entry in q[:count]:
p = model.Package.get(entry.url[len('/dataset/'):])
c.top_packages.append((p,entry.pageviews,entry.visitors))
+ else:
+ ds = {}
+ for entry in q.all():
+ if len(ds) >= count:
+ break
+ p = model.Package.get(entry.url[len('/dataset/'):])
+ if not p in ds:
+ ds[p] = {'views':0, 'visits': 0}
+ ds[p]['views'] = ds[p]['views'] + int(entry.pageviews)
+ ds[p]['visits'] = ds[p]['visits'] + int(entry.visitors)
+
+ results = []
+ for k, v in ds.iteritems():
+ results.append((k,v['views'],v['visits']))
+
+ c.top_packages = sorted(results, key=operator.itemgetter(1), reverse=True)
return render('ga_report/publisher/read.html')
--- /dev/null
+++ b/ckanext/ga_report/helpers.py
@@ -1,1 +1,42 @@
+import logging
+import operator
+import ckan.lib.base as base
+import ckan.model as model
+_log = logging.getLogger(__name__)
+
+def most_popular_datasets(publisher, count=20):
+ from ckanext.ga_report.ga_model import GA_Url
+
+ if not publisher:
+ _log.error("No valid publisher passed to 'most_popular_datasets'")
+ return ""
+
+ datasets = {}
+ entries = model.Session.query(GA_Url).\
+ filter(GA_Url.department_id==publisher.name).\
+ filter(GA_Url.url.like('/dataset/%')).\
+ order_by('ga_url.pageviews::int desc').all()
+ for entry in entries:
+ if len(datasets) < count:
+ p = model.Package.get(entry.url[len('/dataset/'):])
+ 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.visitors)
+
+ results = []
+ for k, v in datasets.iteritems():
+ results.append((k,v['views'],v['visits']))
+
+ results = sorted(results, key=operator.itemgetter(1), reverse=True)
+
+ ctx = {
+ 'dataset_count': len(datasets),
+ 'datasets': results,
+
+ 'publisher': publisher
+ }
+
+ return base.render_snippet('ga_report/publisher/popular.html', **ctx)
+
--- a/ckanext/ga_report/plugin.py
+++ b/ckanext/ga_report/plugin.py
@@ -2,19 +2,28 @@
import ckan.lib.helpers as h
import ckan.plugins as p
from ckan.plugins import implements, toolkit
-#import gasnippet
-#import commands
-#import dbutil
log = logging.getLogger('ckanext.ga-report')
class GAReportPlugin(p.SingletonPlugin):
implements(p.IConfigurer, inherit=True)
implements(p.IRoutes, inherit=True)
+ implements(p.ITemplateHelpers, inherit=True)
def update_config(self, config):
toolkit.add_template_directory(config, 'templates')
toolkit.add_public_directory(config, 'public')
+
+ def get_helpers(self):
+ """
+ A dictionary of extra helpers that will be available to provide
+ ga report info to templates.
+ """
+ from ckanext.ga_report.helpers import most_popular_datasets
+ return {
+ 'ga_report_installed': lambda: True,
+ 'most_popular_datasets': most_popular_datasets,
+ }
def after_map(self, map):
map.connect(
--- /dev/null
+++ b/ckanext/ga_report/templates/ga_report/ga_util.html
@@ -1,1 +1,37 @@
+
+
+
+
+
+
+
+
+
--- a/ckanext/ga_report/templates/ga_report/publisher/index.html
+++ b/ckanext/ga_report/templates/ga_report/publisher/index.html
@@ -2,23 +2,41 @@
xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip="">
+
+
Publisher Analytics for ${g.site_title}
Publishers
- 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.
+
+ Dataset views records the number of times a specific dataset page has been viewed. Visits records the number of unique site visits.
+
+
+ Note: this data does not include API calls.
+
+
+
+ Download
+
+ Download as CSV
+
+
-
Publisher Analytics
-
The top 20 publishers
+
Site Usage
+
+ ${usage_nav('Publishers', None)}
+