Packages up the data from Analytics.
[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 logging import logging
import datetime import datetime
  import collections
from pylons import config from pylons import config
   
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_VISITS = 20
   
class DownloadAnalytics(object): class DownloadAnalytics(object):
'''Downloads and stores analytics info''' '''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.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
   
def all_(self): def specific_month(self, date):
self.since_date(datetime.datetime(2010, 1, 1)) 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): 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 since_date(self, since_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 = since_date.year year = for_date.year
month = since_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:
  if self.delete_first:
  log.info('Deleting existing Analytics for period "%s"',
  period_name)
  ga_model.delete(period_name)
log.info('Downloading Analytics for period "%s" (%s - %s)', log.info('Downloading Analytics for period "%s" (%s - %s)',
self.get_full_period_name(period_name, period_complete_day), self.get_full_period_name(period_name, period_complete_day),
start_date.strftime('%Y %m %d'), start_date.strftime('%Y %m %d'),
end_date.strftime('%Y %m %d')) end_date.strftime('%Y %m %d'))
data = self.download(start_date, end_date)  
log.info('Storing Analytics for period "%s"', 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)) self.get_full_period_name(period_name, period_complete_day))
self.store(period_name, period_complete_day, data) self.store(period_name, period_complete_day, data, )
   
  data = self.download(start_date, end_date, '~/publisher/[a-z0-9-_]+')
def download(self, start_date, end_date): log.info('Storing Publisher Analytics for period "%s"',
  self.get_full_period_name(period_name, period_complete_day))
  self.store(period_name, period_complete_day, data,)
   
  ga_model.update_publisher_stats(period_name) # about 30 seconds.
  self.sitewide_stats( period_name )
   
  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:
  from ga_model import _normalize_url
  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='~/dataset/[a-z0-9-_]+'):
'''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')
# url query = 'ga:pagePath=%s$' % path
#query = 'ga:pagePath=~^%s,ga:pagePath=~^%s' % \ metrics = 'ga:uniquePageviews, ga:visits'
# (PACKAGE_URL, self.resource_url_tag)  
query = 'ga:pagePath=~/dataset/[a-z0-9-]+$'  
metrics = 'ga:uniquePageviews'  
sort = '-ga:uniquePageviews' sort = '-ga:uniquePageviews'
   
# 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",
end_date=end_date).execute() max_results=10000,
  end_date=end_date).execute()
import pprint  
pprint.pprint(results)  
print 'Total results: %s' % results.get('totalResults')  
   
packages = [] packages = []
for entry in results.get('rows'): for entry in results.get('rows'):
(loc,size,) = entry (loc,pageviews,visits) = entry
packages.append( ('http:/' + loc,size, '',) ) packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack
return dict(url=packages) return dict(url=packages)
   
def print_results(self, results):  
import pprint  
pprint.pprint(results)  
if results:  
print 'Profile: %s' % results.get('profileInfo').get('profileName')  
   
print 'Total Visits: %s' % results.get('rows', [[-1]])[0][0]  
else:  
print 'No results found'  
   
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):
  import calendar
  year, month = period_name.split('-')
  _, last_day_of_month = calendar.monthrange(int(year), int(month))
   
  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]
  getattr(self, f)(start_date, end_date, period_name)
   
  def _get_results(result_data, f):
  data = {}
  for result in result_data:
  key = f(result)
  data[key] = data.get(key,0) + result[1]
  return data
   
  def _totals_stats(self, start_date, end_date, period_name):
  """ Fetches distinct totals, total pageviews etc """
  results = self.service.data().ga().get(
  ids='ga:' + self.profile_id,
  start_date=start_date,
  metrics='ga:uniquePageviews',
  sort='-ga:uniquePageviews',
  max_results=10000,
  end_date=end_date).execute()
  result_data = results.get('rows')
  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],
  '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 """
  results = self.service.data().ga().get(
  ids='ga:' + self.profile_id,
  start_date=start_date,
  metrics='ga:uniquePageviews',
  sort='-ga:uniquePageviews',
  dimensions="ga:language,ga:country",
  max_results=10000,
  end_date=end_date).execute()
  result_data = results.get('rows')
  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)
   
   
  def _social_stats(self, start_date, end_date, period_name):
  """ Finds out which social sites people are referred from """
  results = self.service.data().ga().get(
  ids='ga:' + self.profile_id,
  start_date=start_date,
  metrics='ga:uniquePageviews',
  sort='-ga:uniquePageviews',
  dimensions="ga:socialNetwork,ga:referralPath",
  max_results=10000,
  end_date=end_date).execute()
  result_data = results.get('rows')
  data = {}
  for result in result_data:
  if not result[0] == '(not set)':
  data[result[0]] = data.get(result[0], 0) + int(result[2])
  self._filter_out_long_tail(data, 3)
  ga_model.update_sitewide_stats(period_name, "Social sources", data)
   
   
  def _os_stats(self, start_date, end_date, period_name):
  """ Operating system stats """
  results = self.service.data().ga().get(
  ids='ga:' + self.profile_id,
  start_date=start_date,
  metrics='ga:uniquePageviews',
  sort='-ga:uniquePageviews',
  dimensions="ga:operatingSystem,ga:operatingSystemVersion",
  max_results=10000,
  end_date=end_date).execute()
  result_data = results.get('rows')
  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:
  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)
   
   
  def _browser_stats(self, start_date, end_date, period_name):
  """ Information about browsers and browser versions """
  results = self.service.data().ga().get(
  ids='ga:' + self.profile_id,
  start_date=start_date,
  metrics='ga:uniquePageviews',
  sort='-ga:uniquePageviews',
  dimensions="ga:browser,ga:browserVersion",
  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], 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 """
   
  results = self.service.data().ga().get(
  ids='ga:' + self.profile_id,
  start_date=start_date,
  metrics='ga:uniquePageviews',
  sort='-ga:uniquePageviews',
  dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo",
  max_results=10000,
  end_date=end_date).execute()
   
  result_data = results.get('rows')
  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]