Feature #162: Added Rickshaw graphs to most panes of statistics. Needs a little tidying for clarity.
Feature #162: Added Rickshaw graphs to most panes of statistics. Needs a little tidying for clarity.

file:a/.gitignore -> file:b/.gitignore
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,7 @@
 *.py[co]
 *.py~
 .gitignore
+ckan.log
 
 # Packages
 *.egg

--- a/ckanext/ga_report/command.py
+++ b/ckanext/ga_report/command.py
@@ -55,6 +55,36 @@
         init_service('token.dat',
                       self.args[0] if self.args
                                    else 'credentials.json')
+
+class FixTimePeriods(CkanCommand):
+    """
+    Fixes the 'All' records for GA_Urls
+
+    It is possible that older urls that haven't recently been visited
+    do not have All records.  This command will traverse through those
+    records and generate valid All records for them.
+    """
+    summary = __doc__.split('\n')[0]
+    usage = __doc__
+    max_args = 0
+    min_args = 0
+
+    def __init__(self, name):
+        super(FixTimePeriods, self).__init__(name)
+
+    def command(self):
+        import ckan.model as model
+        from ga_model import post_update_url_stats
+        self._load_config()
+        model.Session.remove()
+        model.Session.configure(bind=model.meta.engine)
+
+        log = logging.getLogger('ckanext.ga_report')
+
+        log.info("Updating 'All' records for old URLs")
+        post_update_url_stats()
+        log.info("Processing complete")
+
 
 
 class LoadAnalytics(CkanCommand):

--- 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
@@ -13,6 +14,7 @@
 
 log = logging.getLogger('ckanext.ga-report')
 
+DOWNLOADS_AVAILABLE_FROM = '2012-12'
 
 def _get_month_name(strdate):
     import calendar
@@ -20,8 +22,12 @@
     d = strptime(strdate, '%Y-%m')
     return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
 
-
-def _month_details(cls):
+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):
     '''
     Returns a list of all the periods for which we have data, unfortunately
     knows too much about the type of the cls being passed as GA_Url has a
@@ -32,9 +38,13 @@
     months = []
     day = None
 
-    vals = model.Session.query(cls.period_name,cls.period_complete_day)\
-        .filter(cls.period_name!='All').distinct(cls.period_name)\
-        .order_by("period_name desc").all()
+    q = model.Session.query(cls.period_name,cls.period_complete_day)\
+        .filter(cls.period_name!='All').distinct(cls.period_name)
+    if stat_key:
+        q=  q.filter(cls.stat_name==stat_key)
+
+    vals = q.order_by("period_name desc").all()
+
     if vals and vals[0][1]:
         day = int(vals[0][1])
         ordinal = 'th' if 11 <= day <= 13 \
@@ -52,7 +62,7 @@
     def csv(self, month):
         import csv
 
-        q = model.Session.query(GA_Stat)
+        q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name!='Downloads')
         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()
@@ -68,6 +78,7 @@
                              entry.stat_name.encode('utf-8'),
                              entry.key.encode('utf-8'),
                              entry.value.encode('utf-8')])
+
 
     def index(self):
 
@@ -101,11 +112,26 @@
 
             return key, val
 
+        # Query historic values for sparkline rendering
+        graph_query = model.Session.query(GA_Stat)\
+                .filter(GA_Stat.stat_name=='Totals')\
+                .order_by(GA_Stat.period_name)
+        graph_data = {}
+        for x in graph_query:
+            graph_data[x.key] = graph_data.get(x.key,[])
+            key, val = clean_key(x.key,float(x.value))
+            tooltip = '%s: %s' % (_get_month_name(x.period_name), val)
+            graph_data[x.key].append( (tooltip,x.value) )
+        # Trim the latest month, as it looks like a huge dropoff
+        for key in graph_data:
+            graph_data[key] = graph_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 = graph_data[e.key]
+                c.global_totals.append((key, val, sparkline))
         else:
             d = collections.defaultdict(list)
             for e in entries:
@@ -114,10 +140,11 @@
                 if k in ['Total page views', 'Total visits']:
                     v = sum(v)
                 else:
-                    v = float(sum(v))/len(v)
+                    v = float(sum(v))/float(len(v))
+                sparkline = graph_data[k]
                 key, val = clean_key(k,v)
 
-                c.global_totals.append((key, val))
+                c.global_totals.append((key, val, sparkline))
                 c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
 
         keys = {
@@ -155,7 +182,29 @@
 
         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
+            series = {}
+            x_axis = set()
+            for stat in q:
+                x_val = _get_unix_epoch(stat.period_name)
+                series[ stat.key ] = series.get(stat.key,{})
+                series[ stat.key ][x_val] = float(stat.value)
+                x_axis.add(x_val)
+            # Common x-axis for all series. Exclude this month (incomplete data)
+            x_axis = sorted(list(x_axis))[:-1]
+            # Buffer a rickshaw dataset from the series
+            def create_graph(series_name, series_data):
+                return { 
+                    'name':series_name, 
+                    'data':[ {'x':x,'y':series_data.get(x,0)} for x in x_axis ]
+                    }
+            rickshaw = [ create_graph(name,data) for name, data in series.items() ]
+            rickshaw = sorted(rickshaw,key=lambda x:x['data'][-1]['y'])
+            setattr(c, v+'_graph', json.dumps(rickshaw))
+
+            # Buffer the tabular data
             if c.month:
                 entries = []
                 q = q.filter(GA_Stat.period_name==c.month).\
@@ -172,7 +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 ])
@@ -223,13 +272,14 @@
             str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
 
         writer = csv.writer(response)
-        writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"])
-
-        for package,view,visit in packages:
+        writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Resource downloads", "Period Name"])
+
+        for package,view,visit,downloads in packages:
             writer.writerow([package.title.encode('utf-8'),
                              package.name.encode('utf-8'),
                              view,
                              visit,
+                             downloads,
                              month])
 
     def publishers(self):
@@ -250,10 +300,10 @@
 
     def _get_packages(self, publisher=None, count=-1):
         '''Returns the datasets in order of views'''
-        if count == -1:
-            count = sys.maxint
-
+        have_download_data = True
         month = c.month or 'All'
+        if month != 'All':
+            have_download_data = month >= DOWNLOADS_AVAILABLE_FROM
 
         q = model.Session.query(GA_Url,model.Package)\
             .filter(model.Package.name==GA_Url.package_id)\
@@ -263,9 +313,25 @@
         q = q.filter(GA_Url.period_name==month)
         q = q.order_by('ga_url.pageviews::int desc')
         top_packages = []
-        for entry,package in q.limit(count):
+        if count == -1:
+            entries = q.all()
+        else:
+            entries = q.limit(count)
+
+        for entry,package in entries:
             if package:
-                top_packages.append((package, entry.pageviews, entry.visits))
+                # Downloads ....
+                if have_download_data:
+                    dls = model.Session.query(GA_Stat).\
+                        filter(GA_Stat.stat_name=='Downloads').\
+                        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())
+                else:
+                    downloads = 'No data'
+                top_packages.append((package, entry.pageviews, entry.visits, downloads))
             else:
                 log.warning('Could not find package associated package')
 

--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -13,6 +13,7 @@
 FORMAT_MONTH = '%Y-%m'
 MIN_VIEWS = 50
 MIN_VISITS = 20
+MIN_DOWNLOADS = 10
 
 class DownloadAnalytics(object):
     '''Downloads and stores analytics info'''
@@ -122,8 +123,12 @@
                 log.info('Storing publisher views (%i rows)', len(data.get('url')))
                 self.store(period_name, period_complete_day, data,)
 
+                # Make sure the All records are correct.
+                ga_model.post_update_url_stats()
+
                 log.info('Aggregating datasets by publisher')
                 ga_model.update_publisher_stats(period_name) # about 30 seconds.
+
 
             log.info('Downloading and storing analytics for site-wide stats')
             self.sitewide_stats( period_name, period_complete_day )
@@ -179,6 +184,7 @@
                                  end_date=end_date).execute()
 
         packages = []
+        log.info("There are %d results" % results['totalResults'])
         for entry in results.get('rows'):
             (loc,pageviews,visits) = entry
             url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk
@@ -203,7 +209,7 @@
         start_date = '%s-01' % period_name
         end_date = '%s-%s' % (period_name, last_day_of_month)
         funcs = ['_totals_stats', '_social_stats', '_os_stats',
-                 '_locale_stats', '_browser_stats', '_mobile_stats']
+                 '_locale_stats', '_browser_stats', '_mobile_stats', '_download_stats']
         for f in funcs:
             log.info('Downloading analytics for %s' % f.split('_')[1])
             getattr(self, f)(start_date, end_date, period_name, period_complete_day)
@@ -250,7 +256,7 @@
                                  ids='ga:' + self.profile_id,
                                  filters='ga:pagePath==%s' % (path,),
                                  start_date=start_date,
-                                 metrics='ga:bounces,ga:pageviews',
+                                 metrics='ga:visitBounceRate',
                                  dimensions='ga:pagePath',
                                  max_results=10000,
                                  end_date=end_date).execute()
@@ -260,10 +266,10 @@
                       path, result_data)
             return
         results = result_data[0]
-        bounces, total = [float(x) for x in result_data[0][1:]]
-        pct = 100 * bounces/total
-        log.info('%d bounces from %d total == %s', bounces, total, pct)
-        ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': pct},
+        bounces = float(results[1])
+        # visitBounceRate is already a %
+        log.info('Google reports visitBounceRate as %s', bounces)
+        ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': float(bounces)},
             period_complete_day)
 
 
@@ -290,6 +296,62 @@
         self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day)
 
+
+    def _download_stats(self, start_date, end_date, period_name, period_complete_day):
+        """ Fetches stats about language and country """
+        import ckan.model as model
+
+        data = {}
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 filters='ga:eventAction==download',
+                                 metrics='ga:totalEvents',
+                                 sort='-ga:totalEvents',
+                                 dimensions="ga:eventLabel",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        if not result_data:
+            # We may not have data for this time period, so we need to bail
+            # early.
+            log.info("There is no download data for this time period")
+            return
+
+        def process_result_data(result_data, cached=False):
+            for result in result_data:
+                url = result[0].strip()
+
+                # Get package id associated with the resource that has this URL.
+                q = model.Session.query(model.Resource)
+                if cached:
+                    r = q.filter(model.Resource.cache_url.like("%s%%" % url)).first()
+                else:
+                    r = q.filter(model.Resource.url.like("%s%%" % url)).first()
+
+                package_name = r.resource_group.package.name if r else ""
+                if package_name:
+                    data[package_name] = data.get(package_name, 0) + int(result[1])
+                else:
+                    log.warning(u"Could not find resource for URL: {url}".format(url=url))
+                    continue
+
+        process_result_data(results.get('rows'))
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 filters='ga:eventAction==download-cache',
+                                 metrics='ga:totalEvents',
+                                 sort='-ga:totalEvents',
+                                 dimensions="ga:eventLabel",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        process_result_data(results.get('rows'), cached=False)
+
+        self._filter_out_long_tail(data, MIN_DOWNLOADS)
+        ga_model.update_sitewide_stats(period_name, "Downloads", data, period_complete_day)
 
     def _social_stats(self, start_date, end_date, period_name, period_complete_day):
         """ Finds out which social sites people are referred from """

--- a/ckanext/ga_report/ga_model.py
+++ b/ckanext/ga_report/ga_model.py
@@ -161,10 +161,56 @@
 
 
 def pre_update_url_stats(period_name):
+    log.debug("Deleting '%s' records" % period_name)
     model.Session.query(GA_Url).\
             filter(GA_Url.period_name==period_name).delete()
-    model.Session.query(GA_Url).\
-            filter(GA_Url.period_name=='All').delete()
+
+    count = model.Session.query(GA_Url).\
+            filter(GA_Url.period_name == 'All').count()
+    log.debug("Deleting %d 'All' records" % count)
+    count = model.Session.query(GA_Url).\
+            filter(GA_Url.period_name == 'All').delete()
+    log.debug("Deleted %d 'All' records" % count)
+
+    model.Session.flush()
+    model.Session.commit()
+    model.repo.commit_and_remove()
+
+def post_update_url_stats():
+
+    """ Check the distinct url field in ga_url and make sure
+        it has an All record.  If not then create one.
+
+        After running this then every URL should have an All
+        record regardless of whether the URL has an entry for
+        the month being currently processed.
+    """
+    query = """select url, pageviews::int, visits::int
+               from ga_url
+               where url not in (select url from ga_url where period_name ='All')"""
+    connection = model.Session.connection()
+    res = connection.execute(query)
+
+    views, visits = {}, {}
+    # url, views, visits
+    for row in res:
+        views[row[0]] = views.get(row[0], 0) + row[1]
+        visits[row[0]] = visits.get(row[0], 0) + row[2]
+
+    for key in views.keys():
+        package, publisher = _get_package_and_publisher(key)
+
+        values = {'id': make_uuid(),
+                  'period_name': "All",
+                  'period_complete_day': 0,
+                  'url': key,
+                  'pageviews': views[key],
+                  'visits': visits[key],
+                  'department_id': publisher,
+                  'package_id': publisher
+                  }
+        model.Session.add(GA_Url(**values))
+    model.Session.commit()
 
 
 def update_url_stats(period_name, period_complete_day, url_data):
@@ -216,8 +262,8 @@
                       'period_name': 'All',
                       'period_complete_day': 0,
                       'url': url,
-                      'pageviews': sum([int(e.pageviews) for e in entries]) + old_pageviews,
-                      'visits': sum([int(e.visits or 0) for e in entries]) + old_visits,
+                      'pageviews': sum([int(e.pageviews) for e in entries]) + int(old_pageviews),
+                      'visits': sum([int(e.visits or 0) for e in entries]) + int(old_visits),
                       'department_id': publisher,
                       'package_id': package
                      }
@@ -343,10 +389,10 @@
     '''
     for object_type in (GA_Url, GA_Stat, GA_Publisher, GA_ReferralStat):
         q = model.Session.query(object_type)
-        if period_name != 'all':
+        if period_name != 'All':
             q = q.filter_by(period_name=period_name)
         q.delete()
-    model.Session.commit()
+    model.repo.commit_and_remove()
 
 def get_score_for_dataset(dataset_name):
     '''

--- a/ckanext/ga_report/helpers.py
+++ b/ckanext/ga_report/helpers.py
@@ -50,9 +50,12 @@
             dataset = model.Package.get(ga_url.url[len('/dataset/'):])
             if dataset and not dataset.state == 'active':
                 dataset = None
-                count += 1
-                if count > 10:
-                    break
+            # When testing, it is possible that top datasets are not available
+            # so only go round this loop a few times before falling back on
+            # a random dataset.
+            count += 1
+            if count > 10:
+                break
     if not dataset:
         # fallback
         dataset = model.Session.query(model.Package)\

--- a/ckanext/ga_report/plugin.py
+++ b/ckanext/ga_report/plugin.py
@@ -42,6 +42,16 @@
             controller='ckanext.ga_report.controller:GaReport',
             action='csv'
         )
+        map.connect(
+            '/data/site-usage/downloads',
+            controller='ckanext.ga_report.controller:GaReport',
+            action='downloads'
+        )
+        map.connect(
+            '/data/site-usage/downloads_{month}.csv',
+            controller='ckanext.ga_report.controller:GaReport',
+            action='csv_downloads'
+        )
 
         # GaDatasetReport
         map.connect(

--- /dev/null
+++ b/ckanext/ga_report/public/scripts/vendor/d3.layout.min.js
@@ -1,1 +1,1 @@
-
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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 = [];