Make sure clicking publishers carries the current month across
--- a/README.rst
+++ b/README.rst
@@ -26,15 +26,17 @@
1. Activate you CKAN python environment and install this extension's software::
$ pyenv/bin/activate
- $ pip install -e git+https://github.com/okfn/ckanext-ga-report.git#egg=ckanext-ga-report
+ $ pip install -e git+https://github.com/datagovuk/ckanext-ga-report.git#egg=ckanext-ga-report
2. Ensure you development.ini (or similar) contains the info about your Google Analytics account and configuration::
googleanalytics.id = UA-1010101-1
- googleanalytics.account = Account name (i.e. data.gov.uk, see top level item at https://www.google.com/analytics)
+ googleanalytics.account = Account name (e.g. data.gov.uk, see top level item at https://www.google.com/analytics)
+ googleanalytics.token.filepath = ~/pyenv/token.dat
ga-report.period = monthly
+ ga-report.bounce_url = /
- Note that your credentials will be readable by system administrators on your server. Rather than use sensitive account details, it is suggested you give access to the GA account to a new Google account that you create just for this purpose.
+ The ga-report.bounce_url specifies a particular path to record the bounce rate for. Typically it is / (the home page).
3. Set up this extension's database tables using a paster command. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file)::
@@ -43,6 +45,12 @@
4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``::
ckan.plugins = ga-report
+
+Problem shooting
+----------------
+
+* ``(ProgrammingError) relation "ga_url" does not exist``
+ This means that the ``paster initdb`` step has not been run successfully. Refer to the installation instructions for this extension.
Authorization
@@ -75,13 +83,17 @@
$ paster getauthtoken --config=../ckan/development.ini
+Now ensure you reference the correct path to your token.dat in your CKAN config file (e.g. development.ini)::
+
+ googleanalytics.token.filepath = ~/pyenv/token.dat
+
Tutorial
--------
-Download some GA data and store it in CKAN's db. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file) and specifying the name of your auth file (token.dat by default) from the previous step::
+Download some GA data and store it in CKAN's database. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file) and specifying the name of your auth file (token.dat by default) from the previous step::
- $ paster loadanalytics token.dat latest --config=../ckan/development.ini
+ $ paster loadanalytics latest --config=../ckan/development.ini
The value after the token file is how much data you want to retrieve, this can be
--- a/ckanext/ga_report/command.py
+++ b/ckanext/ga_report/command.py
@@ -1,5 +1,8 @@
import logging
import datetime
+import os
+
+from pylons import config
from ckan.lib.cli import CkanCommand
# No other CKAN imports allowed until _load_config is run,
@@ -58,21 +61,30 @@
"""Get data from Google Analytics API and save it
in the ga_model
- Usage: paster loadanalytics <tokenfile> <time-period>
+ Usage: paster loadanalytics <time-period>
- Where <tokenfile> is the name of the auth token file from
- the getauthtoken step.
-
- And where <time-period> is:
+ Where <time-period> is:
all - data for all time
latest - (default) just the 'latest' data
- YYYY-MM-DD - just data for all time periods going
- back to (and including) this date
+ YYYY-MM - just data for the specific month
"""
summary = __doc__.split('\n')[0]
usage = __doc__
- max_args = 2
- min_args = 1
+ max_args = 1
+ min_args = 0
+
+ def __init__(self, name):
+ super(LoadAnalytics, self).__init__(name)
+ self.parser.add_option('-d', '--delete-first',
+ action='store_true',
+ default=False,
+ dest='delete_first',
+ help='Delete data for the period first')
+ self.parser.add_option('-s', '--skip_url_stats',
+ action='store_true',
+ default=False,
+ dest='skip_url_stats',
+ help='Skip the download of URL data - just do site-wide stats')
def command(self):
self._load_config()
@@ -80,22 +92,31 @@
from download_analytics import DownloadAnalytics
from ga_auth import (init_service, get_profile_id)
+ ga_token_filepath = os.path.expanduser(config.get('googleanalytics.token.filepath', ''))
+ if not ga_token_filepath:
+ print 'ERROR: In the CKAN config you need to specify the filepath of the ' \
+ 'Google Analytics token file under key: googleanalytics.token.filepath'
+ return
+
try:
- svc = init_service(self.args[0], None)
+ svc = init_service(ga_token_filepath, None)
except TypeError:
print ('Have you correctly run the getauthtoken task and '
- 'specified the correct file here')
+ 'specified the correct token file in the CKAN config under '
+ '"googleanalytics.token.filepath"?')
return
- downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc))
+ downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc),
+ delete_first=self.options.delete_first,
+ skip_url_stats=self.options.skip_url_stats)
- time_period = self.args[1] if self.args and len(self.args) > 1 \
- else 'latest'
+ time_period = self.args[0] if self.args else 'latest'
if time_period == 'all':
downloader.all_()
elif time_period == 'latest':
downloader.latest()
else:
- since_date = datetime.datetime.strptime(time_period, '%Y-%m-%d')
- downloader.since_date(since_date)
+ # The month to use
+ for_date = datetime.datetime.strptime(time_period, '%Y-%m')
+ downloader.specific_month(for_date)
--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -1,10 +1,362 @@
+import re
+import csv
+import sys
import logging
-from ckan.lib.base import BaseController, c, render
-import report_model
+import operator
+import collections
+from ckan.lib.base import (BaseController, c, g, render, request, response, abort)
+
+import sqlalchemy
+from sqlalchemy import func, cast, Integer
+import ckan.model as model
+from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher
log = logging.getLogger('ckanext.ga-report')
+
+def _get_month_name(strdate):
+ import calendar
+ from time import strptime
+ d = strptime(strdate, '%Y-%m')
+ return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year)
+
+
+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 = []
+ 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 months, day
+
+
class GaReport(BaseController):
+
+ def csv(self, month):
+ import csv
+
+ q = model.Session.query(GA_Stat)
+ if month != 'all':
+ q = q.filter(GA_Stat.period_name==month)
+ 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-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,))
+
+ writer = csv.writer(response)
+ writer.writerow(["Period", "Statistic", "Key", "Value"])
+
+ for entry in entries:
+ writer.writerow([entry.period_name.encode('utf-8'),
+ entry.stat_name.encode('utf-8'),
+ entry.key.encode('utf-8'),
+ entry.value.encode('utf-8')])
+
def index(self):
- return render('index.html')
-
+
+ # 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])
+
+ q = model.Session.query(GA_Stat).\
+ filter(GA_Stat.stat_name=='Totals')
+ if c.month:
+ q = q.filter(GA_Stat.period_name==c.month)
+ 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', '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','Bounce rate (home page)']:
+ val = "%s%%" % val
+ if key in ['Total page views', 'Total visits']:
+ val = int(val)
+
+ return key, val
+
+ c.global_totals = []
+ if c.month:
+ for e in entries:
+ key, val = clean_key(e.key, e.value)
+ c.global_totals.append((key, val))
+ else:
+ d = collections.defaultdict(list)
+ for e in entries:
+ d[e.key].append(float(e.value))
+ for k, v in d.iteritems():
+ if k in ['Total page views', 'Total visits']:
+ v = sum(v)
+ else:
+ v = float(sum(v))/len(v)
+ key, val = clean_key(k,v)
+
+ c.global_totals.append((key, val))
+ c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
+
+ keys = {
+ 'Browser versions': 'browser_versions',
+ 'Browsers': 'browsers',
+ 'Operating Systems versions': 'os_versions',
+ 'Operating Systems': 'os',
+ 'Social sources': 'social_networks',
+ 'Languages': 'languages',
+ 'Country': 'country'
+ }
+
+ def shorten_name(name, length=60):
+ return (name[:length] + '..') if len(name) > 60 else name
+
+ def fill_out_url(url):
+ import urlparse
+ return urlparse.urljoin(g.site_url, url)
+
+ c.social_referrer_totals, c.social_referrers = [], []
+ q = model.Session.query(GA_ReferralStat)
+ q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q
+ q = q.order_by('ga_referrer.count::int desc')
+ for entry in q.all():
+ c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url),
+ entry.source,entry.count))
+
+ q = model.Session.query(GA_ReferralStat.url,
+ func.sum(GA_ReferralStat.count).label('count'))
+ 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)
+ for entry in q.all():
+ c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'',
+ entry[1]))
+
+ for k, v in keys.iteritems():
+ q = model.Session.query(GA_Stat).\
+ filter(GA_Stat.stat_name==k)
+ if c.month:
+ entries = []
+ q = q.filter(GA_Stat.period_name==c.month).\
+ order_by('ga_stat.value::int desc')
+
+ d = collections.defaultdict(int)
+ for e in q.all():
+ d[e.key] += int(e.value)
+ entries = []
+ for key, val in d.iteritems():
+ entries.append((key,val,))
+ entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
+
+ # Get the total for each set of values and then set the value as
+ # a percentage of the total
+ if k == 'Social sources':
+ total = sum([x for n,x in c.global_totals if n == 'Total visits'])
+ else:
+ total = sum([num for _,num in entries])
+ setattr(c, v, [(k,_percent(v,total)) for k,v in entries ])
+
+ return render('ga_report/site/index.html')
+
+
+class GaDatasetReport(BaseController):
+ """
+ Displays the pageview and visit count for datasets
+ with options to filter by publisher and time period.
+ """
+ def publisher_csv(self, month):
+ '''
+ Returns a CSV of each publisher with the total number of dataset
+ views & visits.
+ '''
+ c.month = month if not month == 'all' else ''
+ response.headers['Content-Type'] = "text/csv; charset=utf-8"
+ response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,))
+
+ writer = csv.writer(response)
+ writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
+
+ for publisher,view,visit in _get_top_publishers(None):
+ writer.writerow([publisher.title.encode('utf-8'),
+ publisher.name.encode('utf-8'),
+ view,
+ visit,
+ month])
+
+ def dataset_csv(self, id='all', month='all'):
+ '''
+ 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 month: The time period, or 'all'
+ '''
+ c.month = month if not month == 'all' else ''
+ if id != 'all':
+ c.publisher = model.Group.get(id)
+ if not c.publisher:
+ abort(404, 'A publisher with that name could not be found')
+
+ packages = self._get_packages(c.publisher)
+ response.headers['Content-Type'] = "text/csv; charset=utf-8"
+ response.headers['Content-Disposition'] = \
+ str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
+
+ writer = csv.writer(response)
+ writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"])
+
+ for package,view,visit in packages:
+ writer.writerow([package.title.encode('utf-8'),
+ package.name.encode('utf-8'),
+ view,
+ visit,
+ month])
+
+ def publishers(self):
+ '''A list of publishers and the number of views/visits for each'''
+
+ # Get the month details by fetching distinct values and determining the
+ # month names from the values.
+ 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', '')
+ c.month_desc = 'all months'
+ if c.month:
+ 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 views'''
+ if count == -1:
+ count = sys.maxint
+
+ 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)
+ 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):
+ '''
+ Lists the most popular datasets across all publishers
+ '''
+ return self.read_publisher(None)
+
+ def read_publisher(self, id):
+ '''
+ Lists the most popular datasets for a publisher (or across all publishers)
+ '''
+ count = 20
+
+ c.publishers = _get_publishers()
+
+ id = request.params.get('publisher', id)
+ if id and id != 'all':
+ c.publisher = model.Group.get(id)
+ if not c.publisher:
+ abort(404, 'A publisher with that name could not be found')
+ c.publisher_name = c.publisher.name
+ c.top_packages = [] # package, dataset_views in c.top_packages
+
+ # Get the month details by fetching distinct values and determining the
+ # month names from the values.
+ 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', '')
+ if not c.month:
+ c.month_desc = 'all months'
+ 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)
+ 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)
+
+ return render('ga_report/publisher/read.html')
+
+def _get_top_publishers(limit=20):
+ '''
+ 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(visits::int) visits
+ from ga_url
+ 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)
+
+ top_publishers = []
+ 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:
+ (name, title)
+ '''
+ publishers = []
+ for pub in model.Session.query(model.Group).\
+ filter(model.Group.type=='publisher').\
+ filter(model.Group.state=='active').\
+ order_by(model.Group.name):
+ publishers.append((pub.name, pub.title))
+ return publishers
+
+def _percent(num, total):
+ p = 100 * float(num)/float(total)
+ return "%.2f%%" % round(p, 2)
+
--- a/ckanext/ga_report/download_analytics.py
+++ b/ckanext/ga_report/download_analytics.py
@@ -1,9 +1,9 @@
import os
import logging
import datetime
-
+import collections
from pylons import config
-
+from ga_model import _normalize_url
import ga_model
#from ga_client import GA
@@ -11,18 +11,31 @@
log = logging.getLogger('ckanext.ga-report')
FORMAT_MONTH = '%Y-%m'
+MIN_VIEWS = 50
+MIN_VISITS = 20
class DownloadAnalytics(object):
'''Downloads and stores analytics info'''
- def __init__(self, service=None, profile_id=None):
+ def __init__(self, service=None, profile_id=None, delete_first=False,
+ skip_url_stats=False):
self.period = config['ga-report.period']
self.service = service
self.profile_id = profile_id
-
-
- def all_(self):
- self.since_date(datetime.datetime(2010, 1, 1))
+ self.delete_first = delete_first
+ self.skip_url_stats = skip_url_stats
+
+ def specific_month(self, date):
+ import calendar
+
+ first_of_this_month = datetime.datetime(date.year, date.month, 1)
+ _, last_day_of_month = calendar.monthrange(int(date.year), int(date.month))
+ last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month)
+ periods = ((date.strftime(FORMAT_MONTH),
+ last_day_of_month,
+ first_of_this_month, last_of_this_month),)
+ self.download_and_store(periods)
+
def latest(self):
if self.period == 'monthly':
@@ -37,13 +50,13 @@
self.download_and_store(periods)
- def since_date(self, since_date):
+ def for_date(self, for_date):
assert isinstance(since_date, datetime.datetime)
periods = [] # (period_name, period_complete_day, start_date, end_date)
if self.period == 'monthly':
first_of_the_months_until_now = []
- year = since_date.year
- month = since_date.month
+ year = for_date.year
+ month = for_date.month
now = datetime.datetime.now()
first_of_this_month = datetime.datetime(now.year, now.month, 1)
while True:
@@ -81,32 +94,76 @@
def download_and_store(self, periods):
for period_name, period_complete_day, start_date, end_date in periods:
- log.info('Downloading Analytics for period "%s" (%s - %s)',
+ log.info('Period "%s" (%s - %s)',
self.get_full_period_name(period_name, period_complete_day),
- start_date.strftime('%Y %m %d'),
- end_date.strftime('%Y %m %d'))
- """
- data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+')
- log.info('Storing Dataset Analytics for period "%s"',
- self.get_full_period_name(period_name, period_complete_day))
- 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 )
-
-
- def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'):
+ start_date.strftime('%Y-%m-%d'),
+ end_date.strftime('%Y-%m-%d'))
+
+ if self.delete_first:
+ log.info('Deleting existing Analytics for this period "%s"',
+ period_name)
+ ga_model.delete(period_name)
+
+ 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')
+ end_date = end_date.strftime('%Y-%m-%d')
+ query = 'ga:hasSocialSourceReferral=~Yes$'
+ metrics = 'ga:entrances'
+ sort = '-ga:entrances'
+
+ # Supported query params at
+ # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
+ results = self.service.data().ga().get(
+ ids='ga:' + self.profile_id,
+ filters=query,
+ start_date=start_date,
+ metrics=metrics,
+ sort=sort,
+ dimensions="ga:landingPagePath,ga:socialNetwork",
+ max_results=10000,
+ end_date=end_date).execute()
+ data = collections.defaultdict(list)
+ rows = results.get('rows',[])
+ for row in rows:
+ data[_normalize_url(row[0])].append( (row[1], int(row[2]),) )
+ ga_model.update_social(period_name, data)
+
+
+ def download(self, start_date, end_date, path=None):
'''Get data from GA for a given time period'''
start_date = start_date.strftime('%Y-%m-%d')
end_date = end_date.strftime('%Y-%m-%d')
query = 'ga:pagePath=%s$' % path
- metrics = 'ga:uniquePageviews, ga:visitors'
- 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
@@ -120,35 +177,35 @@
max_results=10000,
end_date=end_date).execute()
- if os.getenv('DEBUG'):
- import pprint
- pprint.pprint(results)
- print 'Total results: %s' % results.get('totalResults')
-
packages = []
for entry in results.get('rows'):
(loc,pageviews,visits) = entry
- packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack
+ url = _normalize_url('http:/' + loc) # 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 = {}
@@ -157,41 +214,65 @@
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 pageviews': result_data[0][0]})
-
- results = self.service.data().ga().get(
- ids='ga:' + self.profile_id,
- start_date=start_date,
- metrics='ga:pageviewsPerVisit,ga:bounces,ga:avgTimeOnSite,ga:percentNewVisits',
+ 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,
+ start_date=start_date,
+ metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits',
max_results=10000,
end_date=end_date).execute()
result_data = results.get('rows')
data = {
'Pages per visit': result_data[0][0],
- 'Bounces': result_data[0][1],
- 'Average time on site': result_data[0][2],
- 'Percent new visits': result_data[0][3],
+ 'Average time on site': result_data[0][1],
+ 'New visits': result_data[0][2],
+ 'Total visits': result_data[0][3],
}
- ga_model.update_sitewide_stats(period_name, "Totals", data)
-
-
- def _locale_stats(self, start_date, end_date, period_name):
+ 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=&