Adds the ability to fetch information on download events
Adds the ability to fetch information on download events

file:a/.gitignore -> file:b/.gitignore
*.py[co] *.py[co]
*.py~ *.py~
.gitignore .gitignore
  ckan.log
   
# Packages # Packages
*.egg *.egg
*.egg-info *.egg-info
dist dist
build build
eggs eggs
parts parts
bin bin
var var
sdist sdist
develop-eggs develop-eggs
.installed.cfg .installed.cfg
   
# Private info # Private info
credentials.json credentials.json
token.dat token.dat
   
# Installer logs # Installer logs
pip-log.txt pip-log.txt
   
# Unit test / coverage reports # Unit test / coverage reports
.coverage .coverage
.tox .tox
   
#Translations #Translations
*.mo *.mo
   
#Mr Developer #Mr Developer
.mr.developer.cfg .mr.developer.cfg
   
import re import re
import csv import csv
import sys import sys
import logging import logging
import operator import operator
import collections import collections
from ckan.lib.base import (BaseController, c, g, render, request, response, abort) from ckan.lib.base import (BaseController, c, g, render, request, response, abort)
   
import sqlalchemy import sqlalchemy
from sqlalchemy import func, cast, Integer from sqlalchemy import func, cast, Integer
import ckan.model as model import ckan.model as model
from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher
   
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
   
def _get_month_name(strdate): def _get_month_name(strdate):
import calendar import calendar
from time import strptime from time import strptime
d = strptime(strdate, '%Y-%m') d = strptime(strdate, '%Y-%m')
return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year) return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
   
   
def _month_details(cls): def _month_details(cls):
''' '''
Returns a list of all the periods for which we have data, unfortunately 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 knows too much about the type of the cls being passed as GA_Url has a
more complex query more complex query
   
This may need extending if we add a period_name to the stats This may need extending if we add a period_name to the stats
''' '''
months = [] months = []
day = None day = None
   
vals = model.Session.query(cls.period_name,cls.period_complete_day)\ vals = model.Session.query(cls.period_name,cls.period_complete_day)\
.filter(cls.period_name!='All').distinct(cls.period_name)\ .filter(cls.period_name!='All').distinct(cls.period_name)\
.order_by("period_name desc").all() .order_by("period_name desc").all()
if vals and vals[0][1]: if vals and vals[0][1]:
day = int(vals[0][1]) day = int(vals[0][1])
ordinal = 'th' if 11 <= day <= 13 \ ordinal = 'th' if 11 <= day <= 13 \
else {1:'st',2:'nd',3:'rd'}.get(day % 10, 'th') else {1:'st',2:'nd',3:'rd'}.get(day % 10, 'th')
day = "{day}{ordinal}".format(day=day, ordinal=ordinal) day = "{day}{ordinal}".format(day=day, ordinal=ordinal)
   
for m in vals: for m in vals:
months.append( (m[0], _get_month_name(m[0]))) months.append( (m[0], _get_month_name(m[0])))
   
return months, day return months, day
   
   
class GaReport(BaseController): class GaReport(BaseController):
   
def csv(self, month): def csv(self, month):
import csv import csv
   
q = model.Session.query(GA_Stat) q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name!='Downloads')
if month != 'all': if month != 'all':
q = q.filter(GA_Stat.period_name==month) q = q.filter(GA_Stat.period_name==month)
entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all() 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" response.headers['Content-Type'] = "text/csv; charset=utf-8"
response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,)) response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,))
   
writer = csv.writer(response) writer = csv.writer(response)
writer.writerow(["Period", "Statistic", "Key", "Value"]) writer.writerow(["Period", "Statistic", "Key", "Value"])
   
for entry in entries: for entry in entries:
writer.writerow([entry.period_name.encode('utf-8'), writer.writerow([entry.period_name.encode('utf-8'),
entry.stat_name.encode('utf-8'), entry.stat_name.encode('utf-8'),
entry.key.encode('utf-8'), entry.key.encode('utf-8'),
entry.value.encode('utf-8')]) entry.value.encode('utf-8')])
   
  def csv_downloads(self, month):
  import csv
   
  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.key').all()
   
  response.headers['Content-Type'] = "text/csv; charset=utf-8"
  response.headers['Content-Disposition'] = str('attachment; filename=downloads_%s.csv' % (month,))
   
  writer = csv.writer(response)
  writer.writerow(["Period", "Resource URL", "Count"])
   
  for entry in entries:
  writer.writerow([entry.period_name.encode('utf-8'),
  entry.key.encode('utf-8'),
  entry.value.encode('utf-8')])
   
   
def index(self): def index(self):
   
# Get the month details by fetching distinct values and determining the # Get the month details by fetching distinct values and determining the
# month names from the values. # month names from the values.
c.months, c.day = _month_details(GA_Stat) c.months, c.day = _month_details(GA_Stat)
   
# Work out which month to show, based on query params of the first item # Work out which month to show, based on query params of the first item
c.month_desc = 'all months' c.month_desc = 'all months'
c.month = request.params.get('month', '') c.month = request.params.get('month', '')
if c.month: if c.month:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
   
q = model.Session.query(GA_Stat).\ q = model.Session.query(GA_Stat).\
filter(GA_Stat.stat_name=='Totals') filter(GA_Stat.stat_name=='Totals')
if c.month: if c.month:
q = q.filter(GA_Stat.period_name==c.month) q = q.filter(GA_Stat.period_name==c.month)
entries = q.order_by('ga_stat.key').all() entries = q.order_by('ga_stat.key').all()
   
def clean_key(key, val): def clean_key(key, val):
if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounce rate (home page)']: if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounce rate (home page)']:
val = "%.2f" % round(float(val), 2) val = "%.2f" % round(float(val), 2)
if key == 'Average time on site': if key == 'Average time on site':
mins, secs = divmod(float(val), 60) mins, secs = divmod(float(val), 60)
hours, mins = divmod(mins, 60) hours, mins = divmod(mins, 60)
val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val) val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val)
if key in ['New visits','Bounce rate (home page)']: if key in ['New visits','Bounce rate (home page)']:
val = "%s%%" % val val = "%s%%" % val
if key in ['Total page views', 'Total visits']: if key in ['Total page views', 'Total visits']:
val = int(val) val = int(val)
   
return key, val return key, val
   
c.global_totals = [] c.global_totals = []
if c.month: if c.month:
for e in entries: for e in entries:
key, val = clean_key(e.key, e.value) key, val = clean_key(e.key, e.value)
c.global_totals.append((key, val)) c.global_totals.append((key, val))
else: else:
d = collections.defaultdict(list) d = collections.defaultdict(list)
for e in entries: for e in entries:
d[e.key].append(float(e.value)) d[e.key].append(float(e.value))
for k, v in d.iteritems(): for k, v in d.iteritems():
if k in ['Total page views', 'Total visits']: if k in ['Total page views', 'Total visits']:
v = sum(v) v = sum(v)
else: else:
v = float(sum(v))/float(len(v)) v = float(sum(v))/float(len(v))
key, val = clean_key(k,v) key, val = clean_key(k,v)
   
c.global_totals.append((key, val)) c.global_totals.append((key, val))
c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0)) c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
   
keys = { keys = {
'Browser versions': 'browser_versions', 'Browser versions': 'browser_versions',
'Browsers': 'browsers', 'Browsers': 'browsers',
'Operating Systems versions': 'os_versions', 'Operating Systems versions': 'os_versions',
'Operating Systems': 'os', 'Operating Systems': 'os',
'Social sources': 'social_networks', 'Social sources': 'social_networks',
'Languages': 'languages', 'Languages': 'languages',
'Country': 'country' 'Country': 'country'
} }
   
def shorten_name(name, length=60): def shorten_name(name, length=60):
return (name[:length] + '..') if len(name) > 60 else name return (name[:length] + '..') if len(name) > 60 else name
   
def fill_out_url(url): def fill_out_url(url):
import urlparse import urlparse
return urlparse.urljoin(g.site_url, url) return urlparse.urljoin(g.site_url, url)
   
c.social_referrer_totals, c.social_referrers = [], [] c.social_referrer_totals, c.social_referrers = [], []
q = model.Session.query(GA_ReferralStat) q = model.Session.query(GA_ReferralStat)
q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q
q = q.order_by('ga_referrer.count::int desc') q = q.order_by('ga_referrer.count::int desc')
for entry in q.all(): for entry in q.all():
c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url), c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url),
entry.source,entry.count)) entry.source,entry.count))
   
q = model.Session.query(GA_ReferralStat.url, q = model.Session.query(GA_ReferralStat.url,
func.sum(GA_ReferralStat.count).label('count')) func.sum(GA_ReferralStat.count).label('count'))
q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q
q = q.order_by('count desc').group_by(GA_ReferralStat.url) q = q.order_by('count desc').group_by(GA_ReferralStat.url)
for entry in q.all(): for entry in q.all():
c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'', c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'',
entry[1])) entry[1]))
   
for k, v in keys.iteritems(): for k, v in keys.iteritems():
q = model.Session.query(GA_Stat).\ q = model.Session.query(GA_Stat).\
filter(GA_Stat.stat_name==k) filter(GA_Stat.stat_name==k)
if c.month: if c.month:
entries = [] entries = []
q = q.filter(GA_Stat.period_name==c.month).\ q = q.filter(GA_Stat.period_name==c.month).\
order_by('ga_stat.value::int desc') order_by('ga_stat.value::int desc')
   
d = collections.defaultdict(int) d = collections.defaultdict(int)
for e in q.all(): for e in q.all():
d[e.key] += int(e.value) d[e.key] += int(e.value)
entries = [] entries = []
for key, val in d.iteritems(): for key, val in d.iteritems():
entries.append((key,val,)) entries.append((key,val,))
entries = sorted(entries, key=operator.itemgetter(1), reverse=True) entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
   
# Get the total for each set of values and then set the value as # Get the total for each set of values and then set the value as
# a percentage of the total # a percentage of the total
if k == 'Social sources': if k == 'Social sources':
total = sum([x for n,x in c.global_totals if n == 'Total visits']) total = sum([x for n,x in c.global_totals if n == 'Total visits'])
else: else:
total = sum([num for _,num in entries]) total = sum([num for _,num in entries])
setattr(c, v, [(k,_percent(v,total)) for k,v in entries ]) setattr(c, v, [(k,_percent(v,total)) for k,v in entries ])
   
return render('ga_report/site/index.html') return render('ga_report/site/index.html')
   
  def downloads(self):
   
  # Get the month details by fetching distinct values and determining the
  # month names from the values.
  c.months, c.day = _month_details(GA_Stat)
   
  # Work out which month to show, based on query params of the first item
  c.month_desc = 'all months'
  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])
   
  c.downloads = []
  q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name=='Downloads')
  q = q.filter(GA_Stat.period_name==c.month) if c.month else q
  q = q.order_by("ga_stat.value::int desc")
   
  for entry in q.all():
  print entry.key
  r = model.Session.query(model.Resource).filter(model.Resource.url==entry.key).first()
  if r:
  c.downloads.append((r,entry.value))
  else:
  log.info("Failed to find resource for %s" % entry.key)
   
  return render('ga_report/site/downloads.html')
   
   
class GaDatasetReport(BaseController): class GaDatasetReport(BaseController):
""" """
Displays the pageview and visit count for datasets Displays the pageview and visit count for datasets
with options to filter by publisher and time period. with options to filter by publisher and time period.
""" """
def publisher_csv(self, month): def publisher_csv(self, month):
''' '''
Returns a CSV of each publisher with the total number of dataset Returns a CSV of each publisher with the total number of dataset
views & visits. views & visits.
''' '''
c.month = month if not month == 'all' else '' c.month = month if not month == 'all' else ''
response.headers['Content-Type'] = "text/csv; charset=utf-8" response.headers['Content-Type'] = "text/csv; charset=utf-8"
response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,)) response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,))
   
writer = csv.writer(response) writer = csv.writer(response)
writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"]) writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
   
for publisher,view,visit in _get_top_publishers(None): for publisher,view,visit in _get_top_publishers(None):
writer.writerow([publisher.title.encode('utf-8'), writer.writerow([publisher.title.encode('utf-8'),
publisher.name.encode('utf-8'), publisher.name.encode('utf-8'),
view, view,
visit, visit,
month]) month])
   
def dataset_csv(self, id='all', month='all'): def dataset_csv(self, id='all', month='all'):
''' '''
Returns a CSV with the number of views & visits for each dataset. Returns a CSV with the number of views & visits for each dataset.
   
:param id: A Publisher ID or None if you want for all :param id: A Publisher ID or None if you want for all
:param month: The time period, or 'all' :param month: The time period, or 'all'
''' '''
c.month = month if not month == 'all' else '' c.month = month if not month == 'all' else ''
if id != 'all': if id != 'all':
c.publisher = model.Group.get(id) c.publisher = model.Group.get(id)
if not c.publisher: if not c.publisher:
abort(404, 'A publisher with that name could not be found') abort(404, 'A publisher with that name could not be found')
   
packages = self._get_packages(c.publisher) packages = self._get_packages(c.publisher)
response.headers['Content-Type'] = "text/csv; charset=utf-8" response.headers['Content-Type'] = "text/csv; charset=utf-8"
response.headers['Content-Disposition'] = \ response.headers['Content-Disposition'] = \
str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,)) str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
   
writer = csv.writer(response) writer = csv.writer(response)
writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"]) writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"])
   
for package,view,visit in packages: for package,view,visit in packages:
writer.writerow([package.title.encode('utf-8'), writer.writerow([package.title.encode('utf-8'),
package.name.encode('utf-8'), package.name.encode('utf-8'),
view, view,
visit, visit,
month]) month])
   
def publishers(self): def publishers(self):
'''A list of publishers and the number of views/visits for each''' '''A list of publishers and the number of views/visits for each'''
   
# Get the month details by fetching distinct values and determining the # Get the month details by fetching distinct values and determining the
# month names from the values. # month names from the values.
c.months, c.day = _month_details(GA_Url) c.months, c.day = _month_details(GA_Url)
   
# Work out which month to show, based on query params of the first item # Work out which month to show, based on query params of the first item
c.month = request.params.get('month', '') c.month = request.params.get('month', '')
c.month_desc = 'all months' c.month_desc = 'all months'
if c.month: if c.month:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
   
c.top_publishers = _get_top_publishers() c.top_publishers = _get_top_publishers()
return render('ga_report/publisher/index.html') return render('ga_report/publisher/index.html')
   
def _get_packages(self, publisher=None, count=-1): def _get_packages(self, publisher=None, count=-1):
'''Returns the datasets in order of views''' '''Returns the datasets in order of views'''
if count == -1: if count == -1:
count = sys.maxint count = sys.maxint
   
month = c.month or 'All' month = c.month or 'All'
   
q = model.Session.query(GA_Url,model.Package)\ q = model.Session.query(GA_Url,model.Package)\
.filter(model.Package.name==GA_Url.package_id)\ .filter(model.Package.name==GA_Url.package_id)\
.filter(GA_Url.url.like('/dataset/%')) .filter(GA_Url.url.like('/dataset/%'))
if publisher: if publisher:
q = q.filter(GA_Url.department_id==publisher.name) q = q.filter(GA_Url.department_id==publisher.name)
q = q.filter(GA_Url.period_name==month) q = q.filter(GA_Url.period_name==month)
q = q.order_by('ga_url.pageviews::int desc') q = q.order_by('ga_url.pageviews::int desc')
top_packages = [] top_packages = []
for entry,package in q.limit(count): for entry,package in q.limit(count):
if package: if package:
top_packages.append((package, entry.pageviews, entry.visits)) top_packages.append((package, entry.pageviews, entry.visits))
else: else:
log.warning('Could not find package associated package') log.warning('Could not find package associated package')
   
return top_packages return top_packages
   
def read(self): def read(self):
''' '''
Lists the most popular datasets across all publishers Lists the most popular datasets across all publishers
''' '''
return self.read_publisher(None) return self.read_publisher(None)
   
def read_publisher(self, id): def read_publisher(self, id):
''' '''
Lists the most popular datasets for a publisher (or across all publishers) Lists the most popular datasets for a publisher (or across all publishers)
''' '''
count = 20 count = 20
   
c.publishers = _get_publishers() c.publishers = _get_publishers()
   
id = request.params.get('publisher', id) id = request.params.get('publisher', id)
if id and id != 'all': if id and id != 'all':
c.publisher = model.Group.get(id) c.publisher = model.Group.get(id)
if not c.publisher: if not c.publisher:
abort(404, 'A publisher with that name could not be found') abort(404, 'A publisher with that name could not be found')
c.publisher_name = c.publisher.name c.publisher_name = c.publisher.name
c.top_packages = [] # package, dataset_views in c.top_packages c.top_packages = [] # package, dataset_views in c.top_packages
   
# Get the month details by fetching distinct values and determining the # Get the month details by fetching distinct values and determining the
# month names from the values. # month names from the values.
c.months, c.day = _month_details(GA_Url) c.months, c.day = _month_details(GA_Url)
   
# Work out which month to show, based on query params of the first item # Work out which month to show, based on query params of the first item
c.month = request.params.get('month', '') c.month = request.params.get('month', '')
if not c.month: if not c.month:
c.month_desc = 'all months' c.month_desc = 'all months'
else: else:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
   
month = c.month or 'All' month = c.month or 'All'
c.publisher_page_views = 0 c.publisher_page_views = 0
q = model.Session.query(GA_Url).\ q = model.Session.query(GA_Url).\
filter(GA_Url.url=='/publisher/%s' % c.publisher_name) filter(GA_Url.url=='/publisher/%s' % c.publisher_name)
entry = q.filter(GA_Url.period_name==c.month).first() entry = q.filter(GA_Url.period_name==c.month).first()
c.publisher_page_views = entry.pageviews if entry else 0 c.publisher_page_views = entry.pageviews if entry else 0
   
c.top_packages = self._get_packages(c.publisher, 20) c.top_packages = self._get_packages(c.publisher, 20)
   
return render('ga_report/publisher/read.html') return render('ga_report/publisher/read.html')
   
def _get_top_publishers(limit=20): def _get_top_publishers(limit=20):
''' '''
Returns a list of the top 20 publishers by dataset visits. Returns a list of the top 20 publishers by dataset visits.
(The number to show can be varied with 'limit') (The number to show can be varied with 'limit')
''' '''
month = c.month or 'All' month = c.month or 'All'
connection = model.Session.connection() connection = model.Session.connection()
q = """ q = """
select department_id, sum(pageviews::int) views, sum(visits::int) visits select department_id, sum(pageviews::int) views, sum(visits::int) visits
from ga_url from ga_url
where department_id <> '' where department_id <> ''
and package_id <> '' and package_id <> ''
and url like '/dataset/%%' and url like '/dataset/%%'
and period_name=%s and period_name=%s
group by department_id order by views desc group by department_id order by views desc
""" """
if limit: if limit:
q = q + " limit %s;" % (limit) q = q + " limit %s;" % (limit)
   
top_publishers = [] top_publishers = []
res = connection.execute(q, month) res = connection.execute(q, month)
for row in res: for row in res:
g = model.Group.get(row[0]) g = model.Group.get(row[0])
if g: if g:
top_publishers.append((g, row[1], row[2])) top_publishers.append((g, row[1], row[2]))
return top_publishers return top_publishers
   
   
def _get_publishers(): def _get_publishers():
''' '''
Returns a list of all publishers. Each item is a tuple: Returns a list of all publishers. Each item is a tuple:
(name, title) (name, title)
''' '''
publishers = [] publishers = []
for pub in model.Session.query(model.Group).\ for pub in model.Session.query(model.Group).\
filter(model.Group.type=='publisher').\ filter(model.Group.type=='publisher').\
filter(model.Group.state=='active').\ filter(model.Group.state=='active').\
order_by(model.Group.name): order_by(model.Group.name):
publishers.append((pub.name, pub.title)) publishers.append((pub.name, pub.title))
return publishers return publishers
   
def _percent(num, total): def _percent(num, total):
p = 100 * float(num)/float(total) p = 100 * float(num)/float(total)
return "%.2f%%" % round(p, 2) return "%.2f%%" % round(p, 2)
   
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 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): 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 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)
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)', log.info('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'))
   
if self.delete_first: if self.delete_first:
log.info('Deleting existing Analytics for this 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)
   
if not self.skip_url_stats: if not self.skip_url_stats:
# Clean out old url data before storing the new # Clean out old url data before storing the new
ga_model.pre_update_url_stats(period_name) ga_model.pre_update_url_stats(period_name)
   
accountName = config.get('googleanalytics.account') accountName = config.get('googleanalytics.account')
   
log.info('Downloading analytics for dataset views') log.info('Downloading analytics for dataset views')
data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName) data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName)
   
log.info('Storing dataset views (%i rows)', len(data.get('url'))) log.info('Storing dataset views (%i rows)', len(data.get('url')))
self.store(period_name, period_complete_day, data, ) self.store(period_name, period_complete_day, data, )
   
log.info('Downloading analytics for publisher views') log.info('Downloading analytics for publisher views')
data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName) data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName)
   
log.info('Storing publisher views (%i rows)', len(data.get('url'))) log.info('Storing publisher views (%i rows)', len(data.get('url')))
self.store(period_name, period_complete_day, data,) self.store(period_name, period_complete_day, data,)
   
log.info('Aggregating datasets by publisher') log.info('Aggregating datasets by publisher')
ga_model.update_publisher_stats(period_name) # about 30 seconds. ga_model.update_publisher_stats(period_name) # about 30 seconds.
   
log.info('Downloading and storing analytics for site-wide stats') log.info('Downloading and storing analytics for site-wide stats')
self.sitewide_stats( period_name, period_complete_day ) self.sitewide_stats( period_name, period_complete_day )
   
log.info('Downloading and storing analytics for social networks') 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:
url = _normalize_url('http:/' + row[0]) url = _normalize_url('http:/' + row[0])
data[url].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=None): 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:pageviews, ga:visits' metrics = 'ga:pageviews, ga:visits'
sort = '-ga:pageviews' 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 = []
for entry in results.get('rows'): for entry in results.get('rows'):
(loc,pageviews,visits) = entry (loc,pageviews,visits) = entry
url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk 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/'): if not url.startswith('/dataset/') and not url.startswith('/publisher/'):
# filter out strays like: # filter out strays like:
# /data/user/login?came_from=http://data.gov.uk/dataset/os-code-point-open # /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 # /403.html?page=/about&from=http://data.gov.uk/publisher/planning-inspectorate
continue continue
packages.append( (url, pageviews, visits,) ) # Temporary hack 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, period_complete_day): 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)
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:
log.info('Downloading analytics for %s' % f.split('_')[1]) log.info('Downloading analytics for %s' % f.split('_')[1])
getattr(self, f)(start_date, end_date, period_name, period_complete_day) 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, period_complete_day): 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:pageviews', metrics='ga:pageviews',
sort='-ga:pageviews', 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) 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, period_complete_day) ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day)
   
# Bounces from / or another configurable page. # Bounces from / or another configurable page.
path = '/%s%s' % (config.get('googleanalytics.account'), path = '/%s%s' % (config.get('googleanalytics.account'),
config.get('ga-report.bounce_url', '/')) config.get('ga-report.bounce_url', '/'))
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:visitBounceRate',
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')
if not result_data or len(result_data) != 1: if not result_data or len(result_data) != 1:
log.error('Could not pinpoint the bounces for path: %s. Got results: %r', log.error('Could not pinpoint the bounces for path: %s. Got results: %r',
path, result_data) path, result_data)
return return
results = result_data[0] results = result_data[0]
bounces = float(results[1]) bounces = float(results[1])
# visitBounceRate is already a % # visitBounceRate is already a %
log.info('Google reports visitBounceRate as %s', bounces) log.info('Google reports visitBounceRate as %s', bounces)
ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': float(bounces)}, ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': float(bounces)},
period_complete_day) period_complete_day)
   
   
def _locale_stats(self, start_date, end_date, period_name, 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:pageviews', metrics='ga:pageviews',
sort='-ga:pageviews', 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, period_complete_day) 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, period_complete_day) 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 """
  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')
  # [[url, count], [url],count]
  data = {}
  for result in result_data:
  data[result[0]] = data.get(result[0], 0) + int(result[1])
  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): 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:pageviews', metrics='ga:pageviews',
sort='-ga:pageviews', 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, period_complete_day) ga_model.update_sitewide_stats(period_name, "Social sources", data, period_complete_day)
   
   
def _os_stats(self, start_date, end_date, period_name, period_complete_day): 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:pageviews', metrics='ga:pageviews',
sort='-ga:pageviews', 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, period_complete_day) 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, period_complete_day) ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data, period_complete_day)
   
   
def _browser_stats(self, start_date, end_date, period_name, period_complete_day): 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:pageviews', metrics='ga:pageviews',
sort='-ga:pageviews', 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, period_complete_day) 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, period_complete_day) 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, period_complete_day): 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:pageviews', metrics='ga:pageviews',
sort='-ga:pageviews', 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, period_complete_day) 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, period_complete_day) 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]
   
import logging import logging
import ckan.lib.helpers as h import ckan.lib.helpers as h
import ckan.plugins as p import ckan.plugins as p
from ckan.plugins import implements, toolkit from ckan.plugins import implements, toolkit
   
from ckanext.ga_report.helpers import (most_popular_datasets, from ckanext.ga_report.helpers import (most_popular_datasets,
popular_datasets, popular_datasets,
single_popular_dataset) single_popular_dataset)
   
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
class GAReportPlugin(p.SingletonPlugin): class GAReportPlugin(p.SingletonPlugin):
implements(p.IConfigurer, inherit=True) implements(p.IConfigurer, inherit=True)
implements(p.IRoutes, inherit=True) implements(p.IRoutes, inherit=True)
implements(p.ITemplateHelpers, inherit=True) implements(p.ITemplateHelpers, inherit=True)
   
def update_config(self, config): def update_config(self, config):
toolkit.add_template_directory(config, 'templates') toolkit.add_template_directory(config, 'templates')
toolkit.add_public_directory(config, 'public') toolkit.add_public_directory(config, 'public')
   
def get_helpers(self): def get_helpers(self):
""" """
A dictionary of extra helpers that will be available to provide A dictionary of extra helpers that will be available to provide
ga report info to templates. ga report info to templates.
""" """
return { return {
'ga_report_installed': lambda: True, 'ga_report_installed': lambda: True,
'popular_datasets': popular_datasets, 'popular_datasets': popular_datasets,
'most_popular_datasets': most_popular_datasets, 'most_popular_datasets': most_popular_datasets,
'single_popular_dataset': single_popular_dataset 'single_popular_dataset': single_popular_dataset
} }
   
def after_map(self, map): def after_map(self, map):
# GaReport # GaReport
map.connect( map.connect(
'/data/site-usage', '/data/site-usage',
controller='ckanext.ga_report.controller:GaReport', controller='ckanext.ga_report.controller:GaReport',
action='index' action='index'
) )
map.connect( map.connect(
'/data/site-usage/data_{month}.csv', '/data/site-usage/data_{month}.csv',
controller='ckanext.ga_report.controller:GaReport', controller='ckanext.ga_report.controller:GaReport',
action='csv' 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 # GaDatasetReport
map.connect( map.connect(
'/data/site-usage/publisher', '/data/site-usage/publisher',
controller='ckanext.ga_report.controller:GaDatasetReport', controller='ckanext.ga_report.controller:GaDatasetReport',
action='publishers' action='publishers'
) )
map.connect( map.connect(
'/data/site-usage/publishers_{month}.csv', '/data/site-usage/publishers_{month}.csv',
controller='ckanext.ga_report.controller:GaDatasetReport', controller='ckanext.ga_report.controller:GaDatasetReport',
action='publisher_csv' action='publisher_csv'
) )
map.connect( map.connect(
'/data/site-usage/dataset/datasets_{id}_{month}.csv', '/data/site-usage/dataset/datasets_{id}_{month}.csv',
controller='ckanext.ga_report.controller:GaDatasetReport', controller='ckanext.ga_report.controller:GaDatasetReport',
action='dataset_csv' action='dataset_csv'
) )
map.connect( map.connect(
'/data/site-usage/dataset', '/data/site-usage/dataset',
controller='ckanext.ga_report.controller:GaDatasetReport', controller='ckanext.ga_report.controller:GaDatasetReport',
action='read' action='read'
) )
map.connect( map.connect(
'/data/site-usage/dataset/{id}', '/data/site-usage/dataset/{id}',
controller='ckanext.ga_report.controller:GaDatasetReport', controller='ckanext.ga_report.controller:GaDatasetReport',
action='read_publisher' action='read_publisher'
) )
return map return map
   
   
<html <html
xmlns="http://www.w3.org/1999/xhtml" xmlns="http://www.w3.org/1999/xhtml"
xmlns:i18n="http://genshi.edgewall.org/i18n" xmlns:i18n="http://genshi.edgewall.org/i18n"
xmlns:py="http://genshi.edgewall.org/" xmlns:py="http://genshi.edgewall.org/"
xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xi="http://www.w3.org/2001/XInclude"
py:strip="" py:strip=""
> >
   
<select name="month" py:def="month_selector(current_month, months, day)"> <select name="month" py:def="month_selector(current_month, months, day)">
<option value='' py:attrs="{'selected': 'selected' if not current_month else None}">All months</option> <option value='' py:attrs="{'selected': 'selected' if not current_month else None}">All months</option>
<py:for each="i, (val,desc) in enumerate(months)"> <py:for each="i, (val,desc) in enumerate(months)">
<option value='${val}' py:attrs="{'selected': 'selected' if current_month == val else None}">${desc}<py:if test="i == 0 and day"> (up to ${day})</py:if></option> <option value='${val}' py:attrs="{'selected': 'selected' if current_month == val else None}">${desc}<py:if test="i == 0 and day"> (up to ${day})</py:if></option>
</py:for> </py:for>
</select> </select>
   
   
<table py:def="social_table(items, with_source=False)" class="table table-condensed table-bordered table-striped"> <table py:def="social_table(items, with_source=False)" class="table table-condensed table-bordered table-striped">
<tr> <tr>
<th>Name</th> <th>Name</th>
<th py:if="with_source">Source</th> <th py:if="with_source">Source</th>
<th>Visits</th> <th>Visits</th>
</tr> </tr>
<py:for each="name, url, source, count in items"> <py:for each="name, url, source, count in items">
<tr> <tr>
<td><a href="${url}">${name}</a></td> <td><a href="${url}">${name}</a></td>
<td py:if="with_source">${source}</td> <td py:if="with_source">${source}</td>
<td>${count}</td> <td>${count}</td>
</tr> </tr>
</py:for> </py:for>
</table> </table>
   
   
<table py:def="stat_table(items, title='Views')" class="table table-condensed table-bordered table-striped"> <table py:def="stat_table(items, title='Views')" class="table table-condensed table-bordered table-striped">
<tr> <tr>
<th>Name</th> <th>Name</th>
<th>% ${title}</th> <th>% ${title}</th>
</tr> </tr>
<py:for each="name, value in items"> <py:for each="name, value in items">
<tr> <tr>
<td>${name}</td> <td>${name}</td>
<td>${value}</td> <td>${value}</td>
</tr> </tr>
</py:for> </py:for>
</table> </table>
   
   
  <table py:def="downloads_table(items)" class="table table-condensed table-bordered table-striped">
  <tr>
  <th>Name</th>
  <th>Downloads</th>
  </tr>
  <py:for each="resource, value in items">
  <tr>
  <td>
  <strong>${resource.resource_group.package.title}</strong><br/>
  ${h.link_to((resource.name or resource.description).strip() or "No name", h.url_for(controller='package', action='resource_read', id=resource.resource_group.package.name, resource_id=resource.id))}<br/>
  </td>
  <td>${value}</td>
  </tr>
  </py:for>
  </table>
   
   
<div py:def="usage_nav(active_name)" id="minornavigation"> <div py:def="usage_nav(active_name)" id="minornavigation">
<div id="minornavigation-bg-left"> <div id="minornavigation-bg-left">
<div id="minornavigation-bg-right"> <div id="minornavigation-bg-right">
<ul class="nav nav-pills"> <ul class="nav nav-pills">
<li py:attrs="{'class': 'active' if active_name=='Site-wide' else None}"><a py:attrs="{'class': 'active' if active_name=='Site-wide' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Site-wide</a></li> <li py:attrs="{'class': 'active' if active_name=='Site-wide' else None}"><a py:attrs="{'class': 'active' if active_name=='Site-wide' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Site-wide</a></li>
<li py:attrs="{'class': 'active' if active_name=='Publishers' else None}"> <li py:attrs="{'class': 'active' if active_name=='Publishers' else None}">
<a py:attrs="{'class': 'active' if active_name=='Publishers' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publishers')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Publishers</a> <a py:attrs="{'class': 'active' if active_name=='Publishers' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='publishers')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Publishers</a>
</li> </li>
<li py:attrs="{'class': 'active' if active_name=='Datasets' else None}"> <li py:attrs="{'class': 'active' if active_name=='Datasets' else None}">
<a py:attrs="{'class': 'active' if active_name=='Datasets' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Datasets</a> <a py:attrs="{'class': 'active' if active_name=='Datasets' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Datasets</a>
</li> </li>
  <li py:attrs="{'class': 'active' if active_name=='Downloads' else None}">
  <a py:attrs="{'class': 'active' if active_name=='Downloads' else None}" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='downloads')}"><img src="/images/icons/page_white.png" height="16px" width="16px" alt="None" class="inline-icon "/> Downloads</a>
  </li>
</ul> </ul>
</div> </div>
</div> </div>
</div> </div>
   
   
</html> </html>
   
  <html xmlns:py="http://genshi.edgewall.org/"
  xmlns:i18n="http://genshi.edgewall.org/i18n"
  xmlns:xi="http://www.w3.org/2001/XInclude"
  py:strip="">
 
  <xi:include href="../ga_util.html" />
 
  <py:def function="page_title">Downloads</py:def>
 
  <py:match path="primarysidebar">
  <li py:if="c.downloads" class="widget-container boxed widget_text">
  <h4>Download</h4>
  <p><center>
  <a class="btn button btn-primary" href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='csv_downloads',month=c.month or 'all')}">Download as CSV</a></center>
  </p>
  </li>
  <xi:include href="../notes.html" />
 
  </py:match>
 
  <div py:match="content">
  <h1>Downloads</h1>
  ${usage_nav('Downloads')}
 
  <form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='downloads')}" method="get">
  <div class="controls">
 
  ${month_selector(c.month, c.months, c.day)}
 
  <input class="btn button btn-primary" type='submit' value="Update"/>
  </div>
  </form>
 
  <py:if test="c.downloads">
  ${downloads_table(c.downloads)}
  </py:if>
  <py:if test="not c.downloads">
  <h4>No data</h4>
  <p>There is no download data available for this month</p>
  </py:if>
  </div>
 
  <xi:include href="../../layout.html" />
 
  <py:def function="optional_footer">
  <script type='text/javascript'>
  $('.dropdown-toggle').dropdown();
  $('.nav-tabs li a').click(function (e) {
  e.preventDefault();
  $(this).tab('show');
  })
  alert(window.location.hash);
  </script>
  </py:def>
  </html>