Error check for potentially missing data
Error check for potentially missing data

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
   
file:a/README.rst -> file:b/README.rst
ckanext-ga-report ckanext-ga-report
================= =================
   
**Status:** Development **Status:** Development
   
**CKAN Version:** 1.7.1+ **CKAN Version:** 1.7.1+
   
   
Overview Overview
-------- --------
   
For creating detailed reports of CKAN analytics, including totals per group. For creating detailed reports of CKAN analytics, including totals per group.
   
Whereas ckanext-googleanalytics focusses on providing page view stats a recent period and for all time (aimed at end users), ckanext-ga-report is more interested in building regular periodic reports (more for site managers to monitor). Whereas ckanext-googleanalytics focusses on providing page view stats a recent period and for all time (aimed at end users), ckanext-ga-report is more interested in building regular periodic reports (more for site managers to monitor).
   
Contents of this extension: Contents of this extension:
   
* Use the CLI tool to download Google Analytics data for each time period into this extension's database tables * Use the CLI tool to download Google Analytics data for each time period into this extension's database tables
   
* Users can view the data as web page reports * Users can view the data as web page reports
   
   
Installation Installation
------------ ------------
   
1. Activate you CKAN python environment and install this extension's software:: 1. Activate you CKAN python environment and install this extension's software::
   
$ pyenv/bin/activate $ pyenv/bin/activate
$ pip install -e git+https://github.com/datagovuk/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:: 2. Ensure you development.ini (or similar) contains the info about your Google Analytics account and configuration::
   
googleanalytics.id = UA-1010101-1 googleanalytics.id = UA-1010101-1
googleanalytics.account = Account name (e.g. 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.period = monthly
ga-report.bounce_url = /data ga-report.bounce_url = /
   
The ga-report.bounce_url specifies the path to use when calculating bounces. For DGU this is /data The ga-report.bounce_url specifies a particular path to record the bounce rate for. Typically it is / (the home page).
but you may want to set this to /.  
   
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):: 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)::
   
$ paster initdb --config=../ckan/development.ini $ paster initdb --config=../ckan/development.ini
   
4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``:: 4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``::
   
ckan.plugins = ga-report ckan.plugins = ga-report
   
Problem shooting Problem shooting
---------------- ----------------
   
* ``(ProgrammingError) relation "ga_url" does not exist`` * ``(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. This means that the ``paster initdb`` step has not been run successfully. Refer to the installation instructions for this extension.
   
   
Authorization Authorization
-------------- --------------
   
Before you can access the data, you need to set up the OAUTH details which you can do by following the `instructions <https://developers.google.com/analytics/resources/tutorials/hello-analytics-api>`_ the outcome of which will be a file called credentials.json which should look like credentials.json.template with the relevant fields completed. These steps are below for convenience: Before you can access the data, you need to set up the OAUTH details which you can do by following the `instructions <https://developers.google.com/analytics/resources/tutorials/hello-analytics-api>`_ the outcome of which will be a file called credentials.json which should look like credentials.json.template with the relevant fields completed. These steps are below for convenience:
   
1. Visit the `Google APIs Console <https://code.google.com/apis/console>`_ 1. Visit the `Google APIs Console <https://code.google.com/apis/console>`_
   
2. Sign-in and create a project or use an existing project. 2. Sign-in and create a project or use an existing project.
   
3. In the `Services pane <https://code.google.com/apis/console#:services>`_ , activate Analytics API for your project. If prompted, read and accept the terms of service. 3. In the `Services pane <https://code.google.com/apis/console#:services>`_ , activate Analytics API for your project. If prompted, read and accept the terms of service.
   
4. Go to the `API Access pane <https://code.google.com/apis/console/#:access>`_ 4. Go to the `API Access pane <https://code.google.com/apis/console/#:access>`_
   
5. Click Create an OAuth 2.0 client ID.... 5. Click Create an OAuth 2.0 client ID....
   
6. Fill out the Branding Information fields and click Next. 6. Fill out the Branding Information fields and click Next.
   
7. In Client ID Settings, set Application type to Installed application. 7. In Client ID Settings, set Application type to Installed application.
   
8. Click Create client ID 8. Click Create client ID
   
9. The details you need below are Client ID, Client secret, and Redirect URIs 9. The details you need below are Client ID, Client secret, and Redirect URIs
   
   
Once you have set up your credentials.json file you can generate an oauth token file by using the Once you have set up your credentials.json file you can generate an oauth token file by using the
following command, which will store your oauth token in a file called token.dat once you have finished following command, which will store your oauth token in a file called token.dat once you have finished
giving permission in the browser:: giving permission in the browser::
   
$ paster getauthtoken --config=../ckan/development.ini $ 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 Tutorial
-------- --------
   
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:: 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 The value after the token file is how much data you want to retrieve, this can be
   
* **all** - data for all time (since 2010) * **all** - data for all time (since 2010)
   
* **latest** - (default) just the 'latest' data * **latest** - (default) just the 'latest' data
   
* **YYYY-MM-DD** - just data for all time periods going back to (and including) this date * **YYYY-MM-DD** - just data for all time periods going back to (and including) this date
   
   
   
Software Licence Software Licence
================ ================
   
This software is developed by Cabinet Office. It is Crown Copyright and opened up under the Open Government Licence (OGL) (which is compatible with Creative Commons Attibution License). This software is developed by Cabinet Office. It is Crown Copyright and opened up under the Open Government Licence (OGL) (which is compatible with Creative Commons Attibution License).
   
OGL terms: http://www.nationalarchives.gov.uk/doc/open-government-licence/ OGL terms: http://www.nationalarchives.gov.uk/doc/open-government-licence/
   
import logging import logging
import datetime import datetime
  import os
   
  from pylons import config
   
from ckan.lib.cli import CkanCommand from ckan.lib.cli import CkanCommand
# No other CKAN imports allowed until _load_config is run, # No other CKAN imports allowed until _load_config is run,
# or logging is disabled # or logging is disabled
   
   
class InitDB(CkanCommand): class InitDB(CkanCommand):
"""Initialise the extension's database tables """Initialise the extension's database tables
""" """
summary = __doc__.split('\n')[0] summary = __doc__.split('\n')[0]
usage = __doc__ usage = __doc__
max_args = 0 max_args = 0
min_args = 0 min_args = 0
   
def command(self): def command(self):
self._load_config() self._load_config()
   
import ckan.model as model import ckan.model as model
model.Session.remove() model.Session.remove()
model.Session.configure(bind=model.meta.engine) model.Session.configure(bind=model.meta.engine)
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
import ga_model import ga_model
ga_model.init_tables() ga_model.init_tables()
log.info("DB tables are setup") log.info("DB tables are setup")
   
   
class GetAuthToken(CkanCommand): class GetAuthToken(CkanCommand):
""" Get's the Google auth token """ Get's the Google auth token
   
Usage: paster getauthtoken <credentials_file> Usage: paster getauthtoken <credentials_file>
   
Where <credentials_file> is the file name containing the details Where <credentials_file> is the file name containing the details
for the service (obtained from https://code.google.com/apis/console). for the service (obtained from https://code.google.com/apis/console).
By default this is set to credentials.json By default this is set to credentials.json
""" """
summary = __doc__.split('\n')[0] summary = __doc__.split('\n')[0]
usage = __doc__ usage = __doc__
max_args = 0 max_args = 0
min_args = 0 min_args = 0
   
def command(self): def command(self):
""" """
In this case we don't want a valid service, but rather just to In this case we don't want a valid service, but rather just to
force the user through the auth flow. We allow this to complete to force the user through the auth flow. We allow this to complete to
act as a form of verification instead of just getting the token and act as a form of verification instead of just getting the token and
assuming it is correct. assuming it is correct.
""" """
from ga_auth import init_service from ga_auth import init_service
init_service('token.dat', init_service('token.dat',
self.args[0] if self.args self.args[0] if self.args
else 'credentials.json') else 'credentials.json')
   
   
class LoadAnalytics(CkanCommand): class LoadAnalytics(CkanCommand):
"""Get data from Google Analytics API and save it """Get data from Google Analytics API and save it
in the ga_model 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 Where <time-period> is:
the getauthtoken step.  
   
And where <time-period> is:  
all - data for all time all - data for all time
latest - (default) just the 'latest' data latest - (default) just the 'latest' data
YYYY-MM - just data for the specific month YYYY-MM - just data for the specific month
""" """
summary = __doc__.split('\n')[0] summary = __doc__.split('\n')[0]
usage = __doc__ usage = __doc__
max_args = 2 max_args = 1
min_args = 1 min_args = 0
   
def __init__(self, name): def __init__(self, name):
super(LoadAnalytics, self).__init__(name) super(LoadAnalytics, self).__init__(name)
self.parser.add_option('-d', '--delete-first', self.parser.add_option('-d', '--delete-first',
action='store_true', action='store_true',
default=False, default=False,
dest='delete_first', dest='delete_first',
help='Delete data for the period 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): def command(self):
self._load_config() self._load_config()
   
from download_analytics import DownloadAnalytics from download_analytics import DownloadAnalytics
from ga_auth import (init_service, get_profile_id) 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: try:
svc = init_service(self.args[0], None) svc = init_service(ga_token_filepath, None)
except TypeError: except TypeError:
print ('Have you correctly run the getauthtoken task and ' print ('Have you correctly run the getauthtoken task and '
'specified the correct token file?') 'specified the correct token file in the CKAN config under '
  '"googleanalytics.token.filepath"?')
return 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) 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 \ time_period = self.args[0] if self.args else 'latest'
else 'latest'  
if time_period == 'all': if time_period == 'all':
downloader.all_() downloader.all_()
elif time_period == 'latest': elif time_period == 'latest':
downloader.latest() downloader.latest()
else: else:
# The month to use # The month to use
for_date = datetime.datetime.strptime(time_period, '%Y-%m') for_date = datetime.datetime.strptime(time_period, '%Y-%m')
downloader.specific_month(for_date) downloader.specific_month(for_date)
   
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 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
  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 = [] months = []
vals = model.Session.query(cls.period_name).filter(cls.period_name!='All').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: for m in vals:
months.append( (m[0], _get_month_name(m[0]))) months.append( (m[0], _get_month_name(m[0])))
return sorted(months, key=operator.itemgetter(0), reverse=True)  
  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 = _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', 'Bounces']: 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','Bounces']: 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))/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")
   
  data = collections.defaultdict(int)
  for entry in q.all():
  r = model.Session.query(model.Resource).filter(model.Resource.url==entry.key).first()
  if not r:
  continue
  data[r] += int(entry.value)
   
  for k,v in data.iteritems():
  c.downloads.append((k,v))
   
  c.downloads = sorted(c.downloads, key=operator.itemgetter(1), reverse=True)
   
  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 = _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 visits''' '''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.visitors::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.visitors)) 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 = _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.mnth 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'
connection = model.Session.connection() connection = model.Session.connection()
q = """ 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 from ga_url
where department_id <> ''""" where department_id <> ''
if c.month: and package_id <> ''
q = q + """ and url like '/dataset/%%'
and period_name=%s and period_name=%s
""" group by department_id order by views desc
q = q + """  
group by department_id order by visits desc  
""" """
if limit: if limit:
q = q + " limit %s;" % (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 = [] top_publishers = []
res = connection.execute(q, c.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:
(names, 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
import ga_model import ga_model
   
#from ga_client import GA #from ga_client import GA
   
log = logging.getLogger('ckanext.ga-report') log = logging.getLogger('ckanext.ga-report')
   
FORMAT_MONTH = '%Y-%m' FORMAT_MONTH = '%Y-%m'
MIN_VIEWS = 50 MIN_VIEWS = 50
MIN_VISITS = 20 MIN_VISITS = 20
  MIN_DOWNLOADS = 10
   
class DownloadAnalytics(object): class DownloadAnalytics(object):
'''Downloads and stores analytics info''' '''Downloads and stores analytics info'''
   
def __init__(self, service=None, profile_id=None, delete_first=False): def __init__(self, service=None, profile_id=None, delete_first=False,
  skip_url_stats=False):
self.period = config['ga-report.period'] self.period = config['ga-report.period']
self.service = service