Make sure clicking publishers carries the current month across
--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -9,7 +9,7 @@
import sqlalchemy
from sqlalchemy import func, cast, Integer
import ckan.model as model
-from ga_model import GA_Url, GA_Stat, GA_ReferralStat
+from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher
log = logging.getLogger('ckanext.ga-report')
@@ -22,11 +22,29 @@
def _month_details(cls):
+ '''
+ 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
+ more complex query
+
+ This may need extending if we add a period_name to the stats
+ '''
months = []
- vals = model.Session.query(cls.period_name).distinct().all()
+ day = None
+
+ vals = model.Session.query(cls.period_name,cls.period_complete_day)\
+ .filter(cls.period_name!='All').distinct(cls.period_name)\
+ .order_by("period_name desc").all()
+ if vals and vals[0][1]:
+ day = int(vals[0][1])
+ ordinal = 'th' if 11 <= day <= 13 \
+ else {1:'st',2:'nd',3:'rd'}.get(day % 10, 'th')
+ day = "{day}{ordinal}".format(day=day, ordinal=ordinal)
+
for m in vals:
months.append( (m[0], _get_month_name(m[0])))
- return sorted(months, key=operator.itemgetter(0), reverse=True)
+
+ return months, day
class GaReport(BaseController):
@@ -55,7 +73,7 @@
# Get the month details by fetching distinct values and determining the
# month names from the values.
- c.months = _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
c.month_desc = 'all months'
@@ -70,13 +88,13 @@
entries = q.order_by('ga_stat.key').all()
def clean_key(key, val):
- if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounces']:
+ if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounce rate (home page)']:
val = "%.2f" % round(float(val), 2)
if key == 'Average time on site':
mins, secs = divmod(float(val), 60)
hours, mins = divmod(mins, 60)
val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val)
- if key in ['New visits','Bounces']:
+ if key in ['New visits','Bounce rate (home page)']:
val = "%s%%" % val
if key in ['Total page views', 'Total visits']:
val = int(val)
@@ -219,7 +237,7 @@
# Get the month details by fetching distinct values and determining the
# month names from the values.
- c.months = _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
c.month = request.params.get('month', '')
@@ -228,49 +246,29 @@
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
c.top_publishers = _get_top_publishers()
-
return render('ga_report/publisher/index.html')
def _get_packages(self, publisher=None, count=-1):
- '''Returns the datasets in order of visits'''
+ '''Returns the datasets in order of views'''
if count == -1:
count = sys.maxint
- q = model.Session.query(GA_Url)\
+ month = c.month or 'All'
+
+ q = model.Session.query(GA_Url,model.Package)\
+ .filter(model.Package.name==GA_Url.package_id)\
.filter(GA_Url.url.like('/dataset/%'))
if publisher:
q = q.filter(GA_Url.department_id==publisher.name)
- if c.month:
- q = q.filter(GA_Url.period_name==c.month)
- q = q.order_by('ga_url.visitors::int desc')
-
- if c.month:
- top_packages = []
- for entry in q.limit(count):
- package_name = entry.url[len('/dataset/'):]
- p = model.Package.get(package_name)
- if p:
- top_packages.append((p, entry.pageviews, entry.visitors))
- else:
- log.warning('Could not find package "%s"', package_name)
- else:
- ds = {}
- for entry in q.limit(count):
- package_name = entry.url[len('/dataset/'):]
- p = model.Package.get(package_name)
- if p:
- if not p in ds:
- ds[p] = {'views': 0, 'visits': 0}
- ds[p]['views'] = ds[p]['views'] + int(entry.pageviews)
- ds[p]['visits'] = ds[p]['visits'] + int(entry.visitors)
- else:
- log.warning('Could not find package "%s"', package_name)
-
- results = []
- for k, v in ds.iteritems():
- results.append((k,v['views'],v['visits']))
-
- top_packages = sorted(results, key=operator.itemgetter(1), reverse=True)
+ q = q.filter(GA_Url.period_name==month)
+ q = q.order_by('ga_url.pageviews::int desc')
+ top_packages = []
+ for entry,package in q.limit(count):
+ if package:
+ top_packages.append((package, entry.pageviews, entry.visits))
+ else:
+ log.warning('Could not find package associated package')
+
return top_packages
def read(self):
@@ -297,7 +295,7 @@
# Get the month details by fetching distinct values and determining the
# month names from the values.
- c.months = _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
c.month = request.params.get('month', '')
@@ -306,15 +304,12 @@
else:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
+ month = c.month or 'All'
c.publisher_page_views = 0
q = model.Session.query(GA_Url).\
filter(GA_Url.url=='/publisher/%s' % c.publisher_name)
- if c.month:
- entry = q.filter(GA_Url.period_name==c.month).first()
- c.publisher_page_views = entry.pageviews if entry else 0
- else:
- for e in q.all():
- c.publisher_page_views = c.publisher_page_views + int(e.pageviews)
+ entry = q.filter(GA_Url.period_name==c.month).first()
+ c.publisher_page_views = entry.pageviews if entry else 0
c.top_packages = self._get_packages(c.publisher, 20)
@@ -325,38 +320,33 @@
Returns a list of the top 20 publishers by dataset visits.
(The number to show can be varied with 'limit')
'''
+ month = c.month or 'All'
connection = model.Session.connection()
q = """
- select department_id, sum(pageviews::int) views, sum(visitors::int) visits
+ select department_id, sum(pageviews::int) views, sum(visits::int) visits
from ga_url
- where department_id <> ''"""
- if c.month:
- q = q + """
- and period_name=%s
- """
- q = q + """
- group by department_id order by visits desc
+ where department_id <> ''
+ and package_id <> ''
+ and url like '/dataset/%%'
+ and period_name=%s
+ group by department_id order by views desc
"""
if limit:
q = q + " limit %s;" % (limit)
- # Add this back (before and period_name =%s) if you want to ignore publisher
- # homepage views
- # and not url like '/publisher/%%'
-
top_publishers = []
- res = connection.execute(q, c.month)
-
+ res = connection.execute(q, month)
for row in res:
g = model.Group.get(row[0])
if g:
top_publishers.append((g, row[1], row[2]))
return top_publishers
+
def _get_publishers():
'''
Returns a list of all publishers. Each item is a tuple:
- (names, title)
+ (name, title)
'''
publishers = []
for pub in model.Session.query(model.Group).\
--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -3,7 +3,7 @@
import datetime
import collections
from pylons import config
-
+from ga_model import _normalize_url
import ga_model
#from ga_client import GA
@@ -17,11 +17,13 @@
class DownloadAnalytics(object):
'''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.service = service
self.profile_id = profile_id
self.delete_first = delete_first
+ self.skip_url_stats = skip_url_stats
def specific_month(self, date):
import calendar
@@ -92,29 +94,43 @@
def download_and_store(self, 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:
- log.info('Deleting existing Analytics for period "%s"',
+ log.info('Deleting existing Analytics for this period "%s"',
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),
- start_date.strftime('%Y %m %d'),
- end_date.strftime('%Y %m %d'))
-
- data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+')
- log.info('Storing Dataset Analytics for period "%s"',
- self.get_full_period_name(period_name, period_complete_day))
- self.store(period_name, period_complete_day, data, )
-
- data = self.download(start_date, end_date, '~/publisher/[a-z0-9-_]+')
- log.info('Storing Publisher Analytics for period "%s"',
- self.get_full_period_name(period_name, period_complete_day))
- self.store(period_name, period_complete_day, data,)
-
- ga_model.update_publisher_stats(period_name) # about 30 seconds.
- self.sitewide_stats( period_name )
-
+
+ if not self.skip_url_stats:
+ # Clean out old url data before storing the new
+ ga_model.pre_update_url_stats(period_name)
+
+ accountName = config.get('googleanalytics.account')
+
+ log.info('Downloading analytics for dataset views')
+ data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName)
+
+ log.info('Storing dataset views (%i rows)', len(data.get('url')))
+ self.store(period_name, period_complete_day, data, )
+
+ log.info('Downloading analytics for publisher views')
+ data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName)
+
+ log.info('Storing publisher views (%i rows)', len(data.get('url')))
+ self.store(period_name, period_complete_day, data,)
+
+ log.info('Aggregating datasets by publisher')
+ ga_model.update_publisher_stats(period_name) # about 30 seconds.
+
+ log.info('Downloading and storing analytics for site-wide stats')
+ self.sitewide_stats( period_name, period_complete_day )
+
+ log.info('Downloading and storing analytics for social networks')
self.update_social_info(period_name, start_date, end_date)
+
def update_social_info(self, period_name, start_date, end_date):
start_date = start_date.strftime('%Y-%m-%d')
@@ -137,18 +153,17 @@
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-_]+'):
+ def download(self, start_date, end_date, path=None):
'''Get data from GA for a given time period'''
start_date = start_date.strftime('%Y-%m-%d')
end_date = end_date.strftime('%Y-%m-%d')
query = 'ga:pagePath=%s$' % path
- metrics = 'ga:uniquePageviews, ga:visits'
- sort = '-ga:uniquePageviews'
+ metrics = 'ga:pageviews, ga:visits'
+ sort = '-ga:pageviews'
# Supported query params at
# https://developers.google.com/analytics/devguides/reporting/core/v3/reference
@@ -165,27 +180,32 @@
packages = []
for entry in results.get('rows'):
(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)
def store(self, period_name, period_complete_day, data):
if 'url' in data:
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
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)
+ log.info('Downloading analytics for %s' % f.split('_')[1])
+ getattr(self, f)(start_date, end_date, period_name, period_complete_day)
def _get_results(result_data, f):
data = {}
@@ -194,17 +214,18 @@
data[key] = data.get(key,0) + result[1]
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 """
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]})
+ metrics='ga:pageviews',
+ sort='-ga:pageviews',
+ 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]},
+ period_complete_day)
results = self.service.data().ga().get(
ids='ga:' + self.profile_id,
@@ -219,36 +240,39 @@
'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',
+ ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day)
+
+ # Bounces from / or another configurable page.
+ path = '/%s%s' % (config.get('googleanalytics.account'),
+ config.get('ga-report.bounce_url', '/'))
+ results = self.service.data().ga().get(
+ ids='ga:' + self.profile_id,
+ filters='ga:pagePath==%s' % (path,),
+ start_date=start_date,
+ metrics='ga:bounces,ga:pageviews',
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):
+ if not result_data or len(result_data) != 1:
+ log.error('Could not pinpoint the bounces for path: %s. Got results: %r',
+ path, result_data)
+ return
+ results = result_data[0]
+ bounces, total = [float(x) for x in result_data[0][1:]]
+ pct = 100 * bounces/total
+ log.info('%d bounces from %d total == %s', bounces, total, pct)
+ ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': pct},
+ period_complete_day)
+
+
+ def _locale_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,
- metrics='ga:uniquePageviews',
- sort='-ga:uniquePageviews',
+ metrics='ga:pageviews',
+ sort='-ga:pageviews',
dimensions="ga:language,ga:country",
max_results=10000,
end_date=end_date).execute()
@@ -257,22 +281,22 @@
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)
+ ga_model.update_sitewide_stats(period_name, "Languages", data, period_complete_day)
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):
+ ga_model.update_sitewide_stats(period_name, "Country", 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 """
results = self.service.data().ga().get(
ids='ga:' + self.profile_id,
start_date=start_date,
- metrics='ga:uniquePageviews',
- sort='-ga:uniquePageviews',
+ metrics='ga:pageviews',
+ sort='-ga:pageviews',
dimensions="ga:socialNetwork,ga:referralPath",
max_results=10000,
end_date=end_date).execute()
@@ -282,16 +306,16 @@
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):
+ 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):
""" Operating system stats """
results = self.service.data().ga().get(
ids='ga:' + self.profile_id,
start_date=start_date,
- metrics='ga:uniquePageviews',
- sort='-ga:uniquePageviews',
+ metrics='ga:pageviews',
+ sort='-ga:pageviews',
dimensions="ga:operatingSystem,ga:operatingSystemVersion",
max_results=10000,
end_date=end_date).execute()
@@ -300,23 +324,23 @@
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)
+ ga_model.update_sitewide_stats(period_name, "Operating Systems", data, period_complete_day)
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):
+ 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):
""" 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',
+ metrics='ga:pageviews',
+ sort='-ga:pageviews',
dimensions="ga:browser,ga:browserVersion",
max_results=10000,
end_date=end_date).execute()
@@ -327,14 +351,14 @@
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)
+ ga_model.update_sitewide_stats(period_name, "Browsers", data, period_complete_day)
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)
+ ga_model.update_sitewide_stats(period_name, "Browser versions", data, period_complete_day)
@classmethod
def _filter_browser_version(cls, browser, version_str):
@@ -358,14 +382,14 @@
ver = ver[0] + ver[1] + 'X' * num_hidden_digits
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 """
results = self.service.data().ga().get(
ids='ga:' + self.profile_id,
start_date=start_date,
- metrics='ga:uniquePageviews',
- sort='-ga:uniquePageviews',
+ metrics='ga:pageviews',
+ sort='-ga:pageviews',
dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo",
max_results=10000,
end_date=end_date).execute()
@@ -375,13 +399,13 @@
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)
+ ga_model.update_sitewide_stats(period_name, "Mobile brands", data, period_complete_day)
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)
+ ga_model.update_sitewide_stats(period_name, "Mobile devices", data, period_complete_day)
@classmethod
def _filter_out_long_tail(cls, data, threshold=10):
--- a/ckanext/ga_report/ga_model.py
+++ b/ckanext/ga_report/ga_model.py
@@ -1,21 +1,21 @@
import re
import uuid
-from sqlalchemy import Table, Column, MetaData
+from sqlalchemy import Table, Column, MetaData, ForeignKey
from sqlalchemy import types
from sqlalchemy.sql import select
-from sqlalchemy.orm import mapper
+from sqlalchemy.orm import mapper, relation
from sqlalchemy import func
import ckan.model as model
from ckan.lib.base import *
+log = __import__('logging').getLogger(__name__)
+
def make_uuid():
return unicode(uuid.uuid4())
metadata = MetaData()
-
-
class GA_Url(object):
@@ -29,9 +29,10 @@
Column('period_name', types.UnicodeText),
Column('period_complete_day', types.Integer),
Column('pageviews', types.UnicodeText),
- Column('visitors', types.UnicodeText),
+ Column('visits', types.UnicodeText),
Column('url', types.UnicodeText),
Column('department_id', types.UnicodeText),
+ Column('package_id', types.UnicodeText),
)
mapper(GA_Url, url_table)
@@ -46,6 +47,7 @@
Column('id', types.UnicodeText, primary_key=True,
default=make_uuid),
Column('period_name', types.UnicodeText),
+ Column('period_complete_day', types.UnicodeText),
Column('stat_name', types.UnicodeText),
Column('key', types.UnicodeText),
Column('value', types.UnicodeText), )
@@ -64,7 +66,7 @@
Column('period_name', types.UnicodeText),
Column('publisher_name', types.UnicodeText),
Column('views', types.UnicodeText),
- Column('visitors', types.UnicodeText),
+ Column('visits', types.UnicodeText),
Column('toplevel', types.Boolean, default=False),
Column('subpublishercount', types.Integer, default=0),
Column('parent', types.UnicodeText),
@@ -112,12 +114,10 @@
>>> normalize_url('http://data.gov.uk/dataset/weekly_fuel_prices')
'/dataset/weekly_fuel_prices'
'''
- # Deliberately leaving a /
- url = url.replace('http:/','')
- return '/' + '/'.join(url.split('/')[2:])
-
-
-def _get_department_id_of_url(url):
+ return '/' + '/'.join(url.split('/')[3:])
+
+
+def _get_package_and_publisher(url):
# e.g. /dataset/fuel_prices
# e.g. /dataset/fuel_prices/resource/e63380d4
dataset_match = re.match('/dataset/([^/]+)(/.*)?', url)
@@ -127,14 +127,15 @@
if dataset:
publisher_groups = dataset.get_groups('publisher')
if publisher_groups:
- return publisher_groups[0].name
+ return dataset_ref,publisher_groups[0].name
+ return dataset_ref, None
else:
publisher_match = re.match('/publisher/([^/]+)(/.*)?', url)
if publisher_match:
- return publisher_match.groups()[0]
-
-
-def update_sitewide_stats(period_name, stat_name, data):
+ return None, publisher_match.groups()[0]
+ return None, None
+
+def update_sitewide_stats(period_name, stat_name, data, period_complete_day):
for k,v in data.iteritems():
item = model.Session.query(GA_Stat).\
filter(GA_Stat.period_name==period_name).\
@@ -144,11 +145,13 @@
item.period_name = period_name
item.key = k
item.value = v</