Fixed the publishr information (to enable leaderboard) to show the number
[ckanext-ga-report.git] / ckanext / ga_report / download_analytics.py
blob:a/ckanext/ga_report/download_analytics.py -> blob:b/ckanext/ga_report/download_analytics.py
--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -1,9 +1,9 @@
 import os
 import logging
 import datetime
-
+import collections
 from pylons import config
-
+from ga_model import _normalize_url
 import ga_model
 
 #from ga_client import GA
@@ -11,18 +11,29 @@
 log = logging.getLogger('ckanext.ga-report')
 
 FORMAT_MONTH = '%Y-%m'
+MIN_VIEWS = 50
+MIN_VISITS = 20
 
 class DownloadAnalytics(object):
     '''Downloads and stores analytics info'''
 
-    def __init__(self, service=None, profile_id=None):
+    def __init__(self, service=None, profile_id=None, delete_first=False):
         self.period = config['ga-report.period']
         self.service = service
         self.profile_id = profile_id
-
-
-    def all_(self):
-        self.since_date(datetime.datetime(2010, 1, 1))
+        self.delete_first = delete_first
+
+    def specific_month(self, date):
+        import calendar
+
+        first_of_this_month = datetime.datetime(date.year, date.month, 1)
+        _, last_day_of_month = calendar.monthrange(int(date.year), int(date.month))
+        last_of_this_month =  datetime.datetime(date.year, date.month, last_day_of_month)
+        periods = ((date.strftime(FORMAT_MONTH),
+                    last_day_of_month,
+                    first_of_this_month, last_of_this_month),)
+        self.download_and_store(periods)
+
 
     def latest(self):
         if self.period == 'monthly':
@@ -37,13 +48,13 @@
         self.download_and_store(periods)
 
 
-    def since_date(self, since_date):
+    def for_date(self, for_date):
         assert isinstance(since_date, datetime.datetime)
         periods = [] # (period_name, period_complete_day, start_date, end_date)
         if self.period == 'monthly':
             first_of_the_months_until_now = []
-            year = since_date.year
-            month = since_date.month
+            year = for_date.year
+            month = for_date.month
             now = datetime.datetime.now()
             first_of_this_month = datetime.datetime(now.year, now.month, 1)
             while True:
@@ -81,31 +92,74 @@
 
     def download_and_store(self, periods):
         for period_name, period_complete_day, start_date, end_date in periods:
-            log.info('Downloading Analytics for period "%s" (%s - %s)',
+            log.info('Period "%s" (%s - %s)',
                      self.get_full_period_name(period_name, period_complete_day),
-                     start_date.strftime('%Y %m %d'),
-                     end_date.strftime('%Y %m %d'))
-            """
-            data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+')
-            log.info('Storing Dataset Analytics for period "%s"',
-                     self.get_full_period_name(period_name, period_complete_day))
+                     start_date.strftime('%Y-%m-%d'),
+                     end_date.strftime('%Y-%m-%d'))
+ 
+            if self.delete_first:
+                log.info('Deleting existing Analytics for this period "%s"',
+                         period_name)
+                ga_model.delete(period_name)
+
+            # Clean up the entries before we run this
+            ga_model.pre_update_url_stats(period_name)
+
+            accountName = config.get('googleanalytics.account')
+
+            log.info('Downloading analytics for dataset views')
+            data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName)
+
+            log.info('Storing dataset views (%i rows)', len(data.get('url')))
             self.store(period_name, period_complete_day, data, )
 
-            data = self.download(start_date, end_date, '~/publisher/[a-z0-9-_]+')
-            log.info('Storing Publisher Analytics for period "%s"',
-                     self.get_full_period_name(period_name, period_complete_day))
+            log.info('Downloading analytics for publisher views')
+            data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName)
+
+            log.info('Storing publisher views (%i rows)', len(data.get('url')))
             self.store(period_name, period_complete_day, data,)
-            """
+
+            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 )
 
-
-    def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'):
+            log.info('Downloading and storing analytics for social networks')
+            self.update_social_info(period_name, start_date, end_date)
+
+
+    def update_social_info(self, period_name, start_date, end_date):
+        start_date = start_date.strftime('%Y-%m-%d')
+        end_date = end_date.strftime('%Y-%m-%d')
+        query = 'ga:hasSocialSourceReferral=~Yes$'
+        metrics = 'ga:entrances'
+        sort = '-ga:entrances'
+
+        # Supported query params at
+        # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 filters=query,
+                                 start_date=start_date,
+                                 metrics=metrics,
+                                 sort=sort,
+                                 dimensions="ga:landingPagePath,ga:socialNetwork",
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        data = collections.defaultdict(list)
+        rows = results.get('rows',[])
+        for row in rows:
+            data[_normalize_url(row[0])].append( (row[1], int(row[2]),) )
+        ga_model.update_social(period_name, data)
+
+
+    def download(self, start_date, end_date, path=None):
         '''Get data from GA for a given time period'''
         start_date = start_date.strftime('%Y-%m-%d')
         end_date = end_date.strftime('%Y-%m-%d')
         query = 'ga:pagePath=%s$' % path
-        metrics = 'ga:uniquePageviews, ga:visitors'
+        metrics = 'ga:uniquePageviews, ga:visits'
         sort = '-ga:uniquePageviews'
 
         # Supported query params at
@@ -120,15 +174,13 @@
                                  max_results=10000,
                                  end_date=end_date).execute()
 
-        if os.getenv('DEBUG'):
-            import pprint
-            pprint.pprint(results)
-            print 'Total results: %s' % results.get('totalResults')
-
         packages = []
         for entry in results.get('rows'):
             (loc,pageviews,visits) = entry
-            packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack
+            url = _normalize_url('http:/' + loc)
+            if not url.startswith('/dataset/') and not url.startswith('/publisher/'):
+                continue
+            packages.append( (url, pageviews, visits,) ) # Temporary hack
         return dict(url=packages)
 
     def store(self, period_name, period_complete_day, data):
@@ -142,12 +194,10 @@
 
         start_date = '%s-01' % period_name
         end_date = '%s-%s' % (period_name, last_day_of_month)
-        print 'Sitewide_stats for %s (%s -> %s)' % (period_name, start_date, end_date)
-
         funcs = ['_totals_stats', '_social_stats', '_os_stats',
                  '_locale_stats', '_browser_stats', '_mobile_stats']
         for f in funcs:
-            print ' + Fetching %s stats' % f.split('_')[1]
+            log.info('Downloading analytics for %s' % f.split('_')[1])
             getattr(self, f)(start_date, end_date, period_name)
 
     def _get_results(result_data, f):
@@ -167,23 +217,43 @@
                                  max_results=10000,
                                  end_date=end_date).execute()
         result_data = results.get('rows')
-        ga_model.update_sitewide_stats(period_name, "Totals", {'Total pageviews': result_data[0][0]})
-
-        results = self.service.data().ga().get(
-                                 ids='ga:' + self.profile_id,
-                                 start_date=start_date,
-                                 metrics='ga:pageviewsPerVisit,ga:bounces,ga:avgTimeOnSite,ga:percentNewVisits',
+        ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]})
+
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 start_date=start_date,
+                                 metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits',
                                  max_results=10000,
                                  end_date=end_date).execute()
         result_data = results.get('rows')
         data = {
             'Pages per visit': result_data[0][0],
-            'Bounces': result_data[0][1],
-            'Average time on site': result_data[0][2],
-            'Percent new visits': result_data[0][3],
+            'Average time on site': result_data[0][1],
+            'New visits': result_data[0][2],
+            'Total visits': result_data[0][3],
         }
         ga_model.update_sitewide_stats(period_name, "Totals", data)
 
+        # Bounces from /data. This url is specified in configuration because
+        # for DGU we don't want /.
+        path = config.get('ga-report.bounce_url','/')
+        print path
+        results = self.service.data().ga().get(
+                                 ids='ga:' + self.profile_id,
+                                 filters='ga:pagePath=~%s$' % (path,),
+                                 start_date=start_date,
+                                 metrics='ga:bounces,ga:uniquePageviews',
+                                 dimensions='ga:pagePath',
+                                 max_results=10000,
+                                 end_date=end_date).execute()
+        result_data = results.get('rows')
+        for results in result_data:
+            if results[0] == path:
+                bounce, total = [float(x) for x in results[1:]]
+                pct = 100 * bounce/total
+                print "%d bounces from %d total == %s" % (bounce, total, pct)
+                ga_model.update_sitewide_stats(period_name, "Totals", {'Bounces': pct})
+
 
     def _locale_stats(self, start_date, end_date, period_name):
         """ Fetches stats about language and country """
@@ -199,11 +269,13 @@
         data = {}
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
+        self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Languages", data)
 
         data = {}
         for result in result_data:
             data[result[1]] = data.get(result[1], 0) + int(result[2])
+        self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Country", data)
 
 
@@ -218,13 +290,11 @@
                                  max_results=10000,
                                  end_date=end_date).execute()
         result_data = results.get('rows')
-        twitter_links = []
         data = {}
         for result in result_data:
             if not result[0] == '(not set)':
                 data[result[0]] = data.get(result[0], 0) + int(result[2])
-                if result[0] == 'Twitter':
-                    twitter_links.append(result[1])
+        self._filter_out_long_tail(data, 3)
         ga_model.update_sitewide_stats(period_name, "Social sources", data)
 
 
@@ -242,12 +312,14 @@
         data = {}
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
+        self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Operating Systems", data)
 
         data = {}
         for result in result_data:
-            key = "%s (%s)" % (result[0],result[1])
-            data[key] = result[2]
+            if int(result[2]) >= MIN_VIEWS:
+                key = "%s %s" % (result[0],result[1])
+                data[key] = result[2]
         ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data)
 
 
@@ -262,17 +334,42 @@
                                  max_results=10000,
                                  end_date=end_date).execute()
         result_data = results.get('rows')
+        # e.g. [u'Firefox', u'19.0', u'20']
+
         data = {}
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
+        self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Browsers", data)
 
         data = {}
         for result in result_data:
-            key = "%s (%s)" % (result[0], result[1])
-            data[key] = result[2]
+            key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1]))
+            data[key] = data.get(key, 0) + int(result[2])
+        self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Browser versions", data)
 
+    @classmethod
+    def _filter_browser_version(cls, browser, version_str):
+        '''
+        Simplifies a browser version string if it is detailed.
+        i.e. groups together Firefox 3.5.1 and 3.5.2 to be just 3.
+        This is helpful when viewing stats and good to protect privacy.
+        '''
+        ver = version_str
+        parts = ver.split('.')
+        if len(parts) > 1:
+            if parts[1][0] == '0':
+                ver = parts[0]
+            else:
+                ver = "%s" % (parts[0])
+        # Special case complex version nums
+        if browser in ['Safari', 'Android Browser']:
+            ver = parts[0]
+            if len(ver) > 2:
+                num_hidden_digits = len(ver) - 2
+                ver = ver[0] + ver[1] + 'X' * num_hidden_digits
+        return ver
 
     def _mobile_stats(self, start_date, end_date, period_name):
         """ Info about mobile devices """
@@ -290,10 +387,23 @@
         data = {}
         for result in result_data:
             data[result[0]] = data.get(result[0], 0) + int(result[2])
+        self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Mobile brands", data)
 
         data = {}
         for result in result_data:
             data[result[1]] = data.get(result[1], 0) + int(result[2])
+        self._filter_out_long_tail(data, MIN_VIEWS)
         ga_model.update_sitewide_stats(period_name, "Mobile devices", data)
 
+    @classmethod
+    def _filter_out_long_tail(cls, data, threshold=10):
+        '''
+        Given data which is a frequency distribution, filter out
+        results which are below a threshold count. This is good to protect
+        privacy.
+        '''
+        for key, value in data.items():
+            if value < threshold:
+                del data[key]
+