Modified to collect visit instead of visitors.
[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
import os import os
import logging import logging
import datetime import datetime
import collections import collections
from pylons import config from pylons import config
  from ga_model import _normalize_url
import ga_model import ga_model
   
#from ga_client import GA #from ga_client import GA
   
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
FORMAT_MONTH = '%Y-%m' FORMAT_MONTH = '%Y-%m'
MIN_VIEWS = 50 MIN_VIEWS = 50
MIN_VISITS = 20 MIN_VISITS = 20
  MIN_DOWNLOADS = 10
   
class DownloadAnalytics(object): class DownloadAnalytics(object):
'''Downloads and stores analytics info''' '''Downloads and stores analytics info'''
   
def __init__(self, service=None, profile_id=None, delete_first=False): def __init__(self, service=None, profile_id=None, delete_first=False,
  skip_url_stats=False):
self.period = config['ga-report.period'] self.period = config['ga-report.period']
self.service = service self.service = service
self.profile_id = profile_id self.profile_id = profile_id
self.delete_first = delete_first self.delete_first = delete_first
  self.skip_url_stats = skip_url_stats
   
def specific_month(self, date): def specific_month(self, date):
import calendar import calendar
   
first_of_this_month = datetime.datetime(date.year, date.month, 1) first_of_this_month = datetime.datetime(date.year, date.month, 1)
_, last_day_of_month = calendar.monthrange(int(date.year), int(date.month)) _, 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) last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month)
  # if this is the latest month, note that it is only up until today
  now = datetime.datetime.now()
  if now.year == date.year and now.month == date.month:
  last_day_of_month = now.day
  last_of_this_month = now
periods = ((date.strftime(FORMAT_MONTH), periods = ((date.strftime(FORMAT_MONTH),
last_day_of_month, last_day_of_month,
first_of_this_month, last_of_this_month),) first_of_this_month, last_of_this_month),)
self.download_and_store(periods) self.download_and_store(periods)
   
   
def latest(self): def latest(self):
if self.period == 'monthly': if self.period == 'monthly':
# from first of this month to today # from first of this month to today
now = datetime.datetime.now() now = datetime.datetime.now()
first_of_this_month = datetime.datetime(now.year, now.month, 1) first_of_this_month = datetime.datetime(now.year, now.month, 1)
periods = ((now.strftime(FORMAT_MONTH), periods = ((now.strftime(FORMAT_MONTH),
now.day, now.day,
first_of_this_month, now),) first_of_this_month, now),)
else: else:
raise NotImplementedError raise NotImplementedError
self.download_and_store(periods) self.download_and_store(periods)
   
   
def for_date(self, for_date): def for_date(self, for_date):
assert isinstance(since_date, datetime.datetime) assert isinstance(since_date, datetime.datetime)
periods = [] # (period_name, period_complete_day, start_date, end_date) periods = [] # (period_name, period_complete_day, start_date, end_date)
if self.period == 'monthly': if self.period == 'monthly':
first_of_the_months_until_now = [] first_of_the_months_until_now = []
year = for_date.year year = for_date.year
month = for_date.month month = for_date.month
now = datetime.datetime.now() now = datetime.datetime.now()
first_of_this_month = datetime.datetime(now.year, now.month, 1) first_of_this_month = datetime.datetime(now.year, now.month, 1)
while True: while True:
first_of_the_month = datetime.datetime(year, month, 1) first_of_the_month = datetime.datetime(year, month, 1)
if first_of_the_month == first_of_this_month: if first_of_the_month == first_of_this_month:
periods.append((now.strftime(FORMAT_MONTH), periods.append((now.strftime(FORMAT_MONTH),
now.day, now.day,
first_of_this_month, now)) first_of_this_month, now))
break break
elif first_of_the_month < first_of_this_month: elif first_of_the_month < first_of_this_month:
in_the_next_month = first_of_the_month + datetime.timedelta(40) in_the_next_month = first_of_the_month + datetime.timedelta(40)
last_of_the_month = datetime.datetime(in_the_next_month.year, last_of_the_month = datetime.datetime(in_the_next_month.year,
in_the_next_month.month, 1)\ in_the_next_month.month, 1)\
- datetime.timedelta(1) - datetime.timedelta(1)
periods.append((now.strftime(FORMAT_MONTH), 0, periods.append((now.strftime(FORMAT_MONTH), 0,
first_of_the_month, last_of_the_month)) first_of_the_month, last_of_the_month))
else: else:
# first_of_the_month has got to the future somehow # first_of_the_month has got to the future somehow
break break
month += 1 month += 1
if month > 12: if month > 12:
year += 1 year += 1
month = 1 month = 1
else: else:
raise NotImplementedError raise NotImplementedError
self.download_and_store(periods) self.download_and_store(periods)
   
@staticmethod @staticmethod
def get_full_period_name(period_name, period_complete_day): def get_full_period_name(period_name, period_complete_day):
if period_complete_day: if period_complete_day:
return period_name + ' (up to %ith)' % period_complete_day return period_name + ' (up to %ith)' % period_complete_day
else: else:
return period_name return period_name
   
   
def download_and_store(self, periods): def download_and_store(self, periods):
for period_name, period_complete_day, start_date, end_date in periods: for period_name, period_complete_day, start_date, end_date in periods:
  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'))
   
if self.delete_first: if self.delete_first:
log.info('Deleting existing Analytics for period "%s"', log.info('Deleting existing Analytics for this period "%s"',
period_name) period_name)
ga_model.delete(period_name) ga_model.delete(period_name)
log.info('Downloading Analytics for period "%s" (%s - %s)',  
self.get_full_period_name(period_name, period_complete_day), if not self.skip_url_stats:
start_date.strftime('%Y %m %d'), # Clean out old url data before storing the new
end_date.strftime('%Y %m %d')) ga_model.pre_update_url_stats(period_name)
   
data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+') accountName = config.get('googleanalytics.account')
log.info('Storing Dataset Analytics for period "%s"',  
self.get_full_period_name(period_name, period_complete_day)) log.info('Downloading analytics for dataset views')
self.store(period_name, period_complete_day, data, ) data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName)
   
data = self.download(start_date, end_date, '~/publisher/[a-z0-9-_]+') log.info('Storing dataset views (%i rows)', len(data.get('url')))
log.info('Storing Publisher Analytics for period "%s"', self.store(period_name, period_complete_day, data, )
self.get_full_period_name(period_name, period_complete_day))  
self.store(period_name, period_complete_day, data,) log.info('Downloading analytics for publisher views')
  data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName)
ga_model.update_publisher_stats(period_name) # about 30 seconds.  
self.sitewide_stats( period_name ) 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 )
   
  log.info('Downloading and storing analytics for social networks')
self.update_social_info(period_name, start_date, end_date) self.update_social_info(period_name, start_date, end_date)
   
   
def update_social_info(self, 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') start_date = start_date.strftime('%Y-%m-%d')
end_date = end_date.strftime('%Y-%m-%d') end_date = end_date.strftime('%Y-%m-%d')
query = 'ga:hasSocialSourceReferral=~Yes$' query = 'ga:hasSocialSourceReferral=~Yes$'
metrics = 'ga:entrances' metrics = 'ga:entrances'
sort = '-ga:entrances' sort = '-ga:entrances'
   
# Supported query params at # Supported query params at
# https://developers.google.com/analytics/devguides/reporting/core/v3/reference # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
filters=query, filters=query,
start_date=start_date, start_date=start_date,
metrics=metrics, metrics=metrics,
sort=sort, sort=sort,
dimensions="ga:landingPagePath,ga:socialNetwork", dimensions="ga:landingPagePath,ga:socialNetwork",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
data = collections.defaultdict(list) data = collections.defaultdict(list)
rows = results.get('rows',[]) rows = results.get('rows',[])
for row in rows: for row in rows:
from ga_model import _normalize_url url = _normalize_url('http:/' + row[0])
data[_normalize_url(row[0])].append( (row[1], int(row[2]),) ) data[url].append( (row[1], int(row[2]),) )
ga_model.update_social(period_name, data) ga_model.update_social(period_name, data)
   
   
def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'): def download(self, start_date, end_date, path=None):
'''Get data from GA for a given time period''' '''Get data from GA for a given time period'''
start_date = start_date.strftime('%Y-%m-%d') start_date = start_date.strftime('%Y-%m-%d')
end_date = end_date.strftime('%Y-%m-%d') end_date = end_date.strftime('%Y-%m-%d')
query = 'ga:pagePath=%s$' % path query = 'ga:pagePath=%s$' % path
metrics = 'ga:uniquePageviews, ga:visits' metrics = 'ga:pageviews, ga:visits'
sort = '-ga:uniquePageviews' sort = '-ga:pageviews'
   
# Supported query params at # Supported query params at
# https://developers.google.com/analytics/devguides/reporting/core/v3/reference # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
filters=query, filters=query,
start_date=start_date, start_date=start_date,
metrics=metrics, metrics=metrics,
sort=sort, sort=sort,
dimensions="ga:pagePath", dimensions="ga:pagePath",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
   
packages = [] packages = []
  log.info("There are %d results" % results['totalResults'])
for entry in results.get('rows'): for entry in results.get('rows'):
(loc,pageviews,visits) = entry (loc,pageviews,visits) = entry
packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk
   
  if not url.startswith('/dataset/') and not url.startswith('/publisher/'):
  # filter out strays like:
  # /data/user/login?came_from=http://data.gov.uk/dataset/os-code-point-open
  # /403.html?page=/about&from=http://data.gov.uk/publisher/planning-inspectorate
  continue
  packages.append( (url, pageviews, visits,) ) # Temporary hack
return dict(url=packages) return dict(url=packages)
   
def store(self, period_name, period_complete_day, data): def store(self, period_name, period_complete_day, data):
if 'url' in data: if 'url' in data:
ga_model.update_url_stats(period_name, period_complete_day, data['url']) ga_model.update_url_stats(period_name, period_complete_day, data['url'])
   
def sitewide_stats(self, period_name): def sitewide_stats(self, period_name, period_complete_day):
import calendar import calendar
year, month = period_name.split('-') year, month = period_name.split('-')
_, last_day_of_month = calendar.monthrange(int(year), int(month)) _, last_day_of_month = calendar.monthrange(int(year), int(month))
   
start_date = '%s-01' % period_name start_date = '%s-01' % period_name
end_date = '%s-%s' % (period_name, last_day_of_month) 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', 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: 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) getattr(self, f)(start_date, end_date, period_name, period_complete_day)
   
def _get_results(result_data, f): def _get_results(result_data, f):
data = {} data = {}
for result in result_data: for result in result_data:
key = f(result) key = f(result)
data[key] = data.get(key,0) + result[1] data[key] = data.get(key,0) + result[1]
return data return data
   
def _totals_stats(self, start_date, end_date, period_name): def _totals_stats(self, start_date, end_date, period_name, period_complete_day):
""" Fetches distinct totals, total pageviews etc """ """ Fetches distinct totals, total pageviews etc """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}) ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]},
  period_complete_day)
   
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits', metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits',
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = { data = {
'Pages per visit': result_data[0][0], 'Pages per visit': result_data[0][0],
'Average time on site': result_data[0][1], 'Average time on site': result_data[0][1],
'New visits': result_data[0][2], 'New visits': result_data[0][2],
'Total visits': result_data[0][3], 'Total visits': result_data[0][3],
} }
ga_model.update_sitewide_stats(period_name, "Totals", data) ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day)
   
# Bounces from /data. This url is specified in configuration because # Bounces from / or another configurable page.
# for DGU we don't want /. path = '/%s%s' % (config.get('googleanalytics.account'),
path = config.get('ga-report.bounce_url','/') config.get('ga-report.bounce_url', '/'))
print path results = self.service.data().ga().get(
results = self.service.data().ga().get( ids='ga:' + self.profile_id,
ids='ga:' + self.profile_id, filters='ga:pagePath==%s' % (path,),
filters='ga:pagePath=~%s$' % (path,), start_date=start_date,
start_date=start_date, metrics='ga:visitBounceRate',
metrics='ga:bounces,ga:uniquePageviews',  
dimensions='ga:pagePath', dimensions='ga:pagePath',
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
for results in result_data: if not result_data or len(result_data) != 1:
if results[0] == path: log.error('Could not pinpoint the bounces for path: %s. Got results: %r',
bounce, total = [float(x) for x in results[1:]] path, result_data)
pct = 100 * bounce/total return
print "%d bounces from %d total == %s" % (bounce, total, pct) results = result_data[0]
ga_model.update_sitewide_stats(period_name, "Totals", {'Bounces': pct}) bounces = float(results[1])
  # visitBounceRate is already a %
  log.info('Google reports visitBounceRate as %s', bounces)
def _locale_stats(self, start_date, end_date, period_name): ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': float(bounces)},
  period_complete_day)
   
   
  def _locale_stats(self, start_date, end_date, period_name, period_complete_day):
""" Fetches stats about language and country """ """ Fetches stats about language and country """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:language,ga:country", dimensions="ga:language,ga:country",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Languages", data) ga_model.update_sitewide_stats(period_name, "Languages", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
data[result[1]] = data.get(result[1], 0) + int(result[2]) data[result[1]] = data.get(result[1], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Country", data) ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day)
   
   
def _social_stats(self, start_date, end_date, period_name): 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 """ """ Finds out which social sites people are referred from """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:socialNetwork,ga:referralPath", dimensions="ga:socialNetwork,ga:referralPath",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
if not result[0] == '(not set)': if not result[0] == '(not set)':
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, 3) self._filter_out_long_tail(data, 3)
ga_model.update_sitewide_stats(period_name, "Social sources", data) ga_model.update_sitewide_stats(period_name, "Social sources", data, period_complete_day)
   
   
def _os_stats(self, start_date, end_date, period_name): def _os_stats(self, start_date, end_date, period_name, period_complete_day):
""" Operating system stats """ """ Operating system stats """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:operatingSystem,ga:operatingSystemVersion", dimensions="ga:operatingSystem,ga:operatingSystemVersion",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Operating Systems", data) ga_model.update_sitewide_stats(period_name, "Operating Systems", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
if int(result[2]) >= MIN_VIEWS: if int(result[2]) >= MIN_VIEWS:
key = "%s %s" % (result[0],result[1]) key = "%s %s" % (result[0],result[1])
data[key] = result[2] data[key] = result[2]
ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data, period_complete_day)
   
   
def _browser_stats(self, start_date, end_date, period_name): def _browser_stats(self, start_date, end_date, period_name, period_complete_day):
""" Information about browsers and browser versions """ """ Information about browsers and browser versions """
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:browser,ga:browserVersion", dimensions="ga:browser,ga:browserVersion",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
result_data = results.get('rows') result_data = results.get('rows')
# e.g. [u'Firefox', u'19.0', u'20'] # e.g. [u'Firefox', u'19.0', u'20']
   
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Browsers", data) ga_model.update_sitewide_stats(period_name, "Browsers", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1])) key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1]))
data[key] = data.get(key, 0) + int(result[2]) data[key] = data.get(key, 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Browser versions", data) ga_model.update_sitewide_stats(period_name, "Browser versions", data, period_complete_day)
   
@classmethod @classmethod
def _filter_browser_version(cls, browser, version_str): def _filter_browser_version(cls, browser, version_str):
''' '''
Simplifies a browser version string if it is detailed. 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. 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. This is helpful when viewing stats and good to protect privacy.
''' '''
ver = version_str ver = version_str
parts = ver.split('.') parts = ver.split('.')
if len(parts) > 1: if len(parts) > 1:
if parts[1][0] == '0': if parts[1][0] == '0':
ver = parts[0] ver = parts[0]
else: else:
ver = "%s" % (parts[0]) ver = "%s" % (parts[0])
# Special case complex version nums # Special case complex version nums
if browser in ['Safari', 'Android Browser']: if browser in ['Safari', 'Android Browser']:
ver = parts[0] ver = parts[0]
if len(ver) > 2: if len(ver) > 2:
num_hidden_digits = len(ver) - 2 num_hidden_digits = len(ver) - 2
ver = ver[0] + ver[1] + 'X' * num_hidden_digits ver = ver[0] + ver[1] + 'X' * num_hidden_digits
return ver return ver
   
def _mobile_stats(self, start_date, end_date, period_name): def _mobile_stats(self, start_date, end_date, period_name, period_complete_day):
""" Info about mobile devices """ """ Info about mobile devices """
   
results = self.service.data().ga().get( results = self.service.data().ga().get(
ids='ga:' + self.profile_id, ids='ga:' + self.profile_id,
start_date=start_date, start_date=start_date,
metrics='ga:uniquePageviews', metrics='ga:pageviews',
sort='-ga:uniquePageviews', sort='-ga:pageviews',
dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo",
max_results=10000, max_results=10000,
end_date=end_date).execute() end_date=end_date).execute()
   
result_data = results.get('rows') result_data = results.get('rows')
data = {} data = {}
for result in result_data: for result in result_data:
data[result[0]] = data.get(result[0], 0) + int(result[2]) data[result[0]] = data.get(result[0], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Mobile brands", data) ga_model.update_sitewide_stats(period_name, "Mobile brands", data, period_complete_day)
   
data = {} data = {}
for result in result_data: for result in result_data:
data[result[1]] = data.get(result[1], 0) + int(result[2]) data[result[1]] = data.get(result[1], 0) + int(result[2])
self._filter_out_long_tail(data, MIN_VIEWS) self._filter_out_long_tail(data, MIN_VIEWS)
ga_model.update_sitewide_stats(period_name, "Mobile devices", data) ga_model.update_sitewide_stats(period_name, "Mobile devices", data, period_complete_day)
   
@classmethod @classmethod
def _filter_out_long_tail(cls, data, threshold=10): def _filter_out_long_tail(cls, data, threshold=10):
''' '''
Given data which is a frequency distribution, filter out Given data which is a frequency distribution, filter out
results which are below a threshold count. This is good to protect results which are below a threshold count. This is good to protect
privacy. privacy.
''' '''
for key, value in data.items(): for key, value in data.items():
if value < threshold: if value < threshold:
del data[key] del data[key]