| *.py[co] | *.py[co] |
| *.py~ | |
| .gitignore | |
| # 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 | |
| credentials.json | |
| 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 |
| ckanext-ga-report | |
| ================= | |
| For creating detailed reports of CKAN analytics, sliced by group |
| ckanext-ga-report | |
| ================= | |
| **Status:** Development | |
| **CKAN Version:** 1.7.1+ | |
| Overview | |
| -------- | |
| 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). | |
| Contents of this extension: | |
| * 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 | |
| Installation | |
| ------------ | |
| 1. Activate you CKAN python environment and install this extension's software:: | |
| $ pyenv/bin/activate | |
| $ 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) | |
| ga-report.period = monthly | |
| 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. | |
| 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 | |
| 4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``:: | |
| ckan.plugins = ga-report | |
| 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: | |
| 1. Visit the `Google APIs Console <https://code.google.com/apis/console>`_ | |
| 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. | |
| 4. Go to the `API Access pane <https://code.google.com/apis/console/#:access>`_ | |
| 5. Click Create an OAuth 2.0 client ID.... | |
| 6. Fill out the Branding Information fields and click Next. | |
| 7. In Client ID Settings, set Application type to Installed application. | |
| 8. Click Create client ID | |
| 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 | |
| following command, which will store your oauth token in a file called token.dat once you have finished | |
| giving permission in the browser:: | |
| $ paster getauthtoken --config=../ckan/development.ini | |
| 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:: | |
| $ paster loadanalytics token.dat latest --config=../ckan/development.ini | |
| The value after the token file is how much data you want to retrieve, this can be | |
| * **all** - data for all time (since 2010) | |
| * **latest** - (default) just the 'latest' data | |
| * **YYYY-MM-DD** - just data for all time periods going back to (and including) this date | |
| 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). | |
| OGL terms: http://www.nationalarchives.gov.uk/doc/open-government-licence/ | |
| # this is a namespace package | |
| try: | |
| import pkg_resources | |
| pkg_resources.declare_namespace(__name__) | |
| except ImportError: | |
| import pkgutil | |
| __path__ = pkgutil.extend_path(__path__, __name__) | |
| # this is a namespace package | |
| try: | |
| import pkg_resources | |
| pkg_resources.declare_namespace(__name__) | |
| except ImportError: | |
| import pkgutil | |
| __path__ = pkgutil.extend_path(__path__, __name__) | |
| import logging | |
| import datetime | |
| from ckan.lib.cli import CkanCommand | |
| # No other CKAN imports allowed until _load_config is run, | |
| # or logging is disabled | |
| class InitDB(CkanCommand): | |
| """Initialise the extension's database tables | |
| """ | |
| summary = __doc__.split('\n')[0] | |
| usage = __doc__ | |
| max_args = 0 | |
| min_args = 0 | |
| def command(self): | |
| self._load_config() | |
| import ckan.model as model | |
| model.Session.remove() | |
| model.Session.configure(bind=model.meta.engine) | |
| log = logging.getLogger('ckanext.ga-report') | |
| import ga_model | |
| ga_model.init_tables() | |
| log.info("DB tables are setup") | |
| class GetAuthToken(CkanCommand): | |
| """ Get's the Google auth token | |
| Usage: paster getauthtoken <credentials_file> | |
| Where <credentials_file> is the file name containing the details | |
| for the service (obtained from https://code.google.com/apis/console). | |
| By default this is set to credentials.json | |
| """ | |
| summary = __doc__.split('\n')[0] | |
| usage = __doc__ | |
| max_args = 0 | |
| min_args = 0 | |
| def command(self): | |
| """ | |
| 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 | |
| act as a form of verification instead of just getting the token and | |
| assuming it is correct. | |
| """ | |
| from ga_auth import init_service | |
| init_service('token.dat', | |
| self.args[0] if self.args | |
| else 'credentials.json') | |
| class LoadAnalytics(CkanCommand): | |
| """Get data from Google Analytics API and save it | |
| in the ga_model | |
| Usage: paster loadanalytics <tokenfile> <time-period> | |
| Where <tokenfile> is the name of the auth token file from | |
| the getauthtoken step. | |
| And where <time-period> is: | |
| all - data for all time | |
| latest - (default) just the 'latest' data | |
| YYYY-MM - just data for the specific month | |
| """ | |
| summary = __doc__.split('\n')[0] | |
| usage = __doc__ | |
| max_args = 2 | |
| min_args = 1 | |
| def command(self): | |
| self._load_config() | |
| from download_analytics import DownloadAnalytics | |
| from ga_auth import (init_service, get_profile_id) | |
| try: | |
| svc = init_service(self.args[0], None) | |
| except TypeError: | |
| print ('Have you correctly run the getauthtoken task and ' | |
| 'specified the correct file here') | |
| return | |
| downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc)) | |
| time_period = self.args[1] if self.args and len(self.args) > 1 \ | |
| else 'latest' | |
| if time_period == 'all': | |
| downloader.all_() | |
| elif time_period == 'latest': | |
| downloader.latest() | |
| else: | |
| # The month to use | |
| for_date = datetime.datetime.strptime(time_period, '%Y-%m') | |
| downloader.specific_month(for_date) | |
| import logging | |
| import operator | |
| from ckan.lib.base import BaseController, c, render, request, response | |
| import sqlalchemy | |
| from sqlalchemy import func, cast, Integer | |
| import ckan.model as model | |
| from ga_model import GA_Url, GA_Stat | |
| 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): | |
| months = [] | |
| vals = model.Session.query(cls.period_name).distinct().all() | |
| for m in vals: | |
| months.append( (m[0], _get_month_name(m[0]))) | |
| return sorted(months, key=operator.itemgetter(0), reverse=True) | |
| class GaReport(BaseController): | |
| def csv(self, month): | |
| import csv | |
| entries = model.Session.query(GA_Stat).\ | |
| filter(GA_Stat.period_name==month).\ | |
| order_by('GA_Stat.stat_name, GA_Stat.key').all() | |
| response.headers['Content-disposition'] = 'attachment; filename=dgu_analytics_%s.csv' % (month,) | |
| response.headers['Content-Type'] = "text/csv; charset=utf-8" | |
| 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): | |
| # Get the month details by fetching distinct values and determining the | |
| # month names from the values. | |
| c.months = _month_details(GA_Stat) | |
| # Work out which month to show, based on query params of the first item | |
| c.month = request.params.get('month', c.months[0][0] if c.months else '') | |
| c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | |
| entries = model.Session.query(GA_Stat).\ | |
| filter(GA_Stat.stat_name=='Totals').\ | |
| filter(GA_Stat.period_name==c.month).\ | |
| order_by('ga_stat.key').all() | |
| c.global_totals = [(s.key, s.value) for s in entries ] | |
| keys = { | |
| 'Browser versions': 'browsers', | |
| 'Operating Systems versions': 'os', | |
| 'Social sources': 'social_networks', | |
| 'Languages': 'languages', | |
| 'Country': 'country' | |
| } | |
| for k, v in keys.iteritems(): | |
| entries = model.Session.query(GA_Stat).\ | |
| filter(GA_Stat.stat_name==k).\ | |
| filter(GA_Stat.period_name==c.month).\ | |
| order_by('ga_stat.value::int desc').all() | |
| setattr(c, v, [(s.key, s.value) for s in entries ]) | |
| return render('ga_report/site/index.html') | |
| class GaPublisherReport(BaseController): | |
| """ | |
| Displays the pageview and visit count for specific publishers based on | |
| the datasets associated with the publisher. | |
| """ | |
| def index(self): | |
| # Get the month details by fetching distinct values and determining the | |
| # month names from the values. | |
| c.months = _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.months[0][0] if c.months else '') | |
| c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | |
| connection = model.Session.connection() | |
| q = """ | |
| select department_id, sum(pageviews::int) views, sum(visitors::int) visits | |
| from ga_url | |
| where department_id <> '' | |
| and not url like '/publisher/%%' | |
| and period_name=%s | |
| group by department_id order by views desc limit 20; | |
| """ | |
| c.top_publishers = [] | |
| res = connection.execute(q, c.month) | |
| for row in res: | |
| c.top_publishers.append((model.Group.get(row[0]), row[1], row[2])) | |
| return render('ga_report/publisher/index.html') | |
| def read(self, id): | |
| c.publisher = model.Group.get(id) | |
| 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 = _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.months[0][0] if c.months else '') | |
| c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | |
| entry = model.Session.query(GA_Url).\ | |
| filter(GA_Url.url=='/publisher/%s' % c.publisher.name).\ | |
| filter(GA_Url.period_name==c.month).first() | |
| c.publisher_page_views = entry.pageviews if entry else 0 | |
| entries = model.Session.query(GA_Url).\ | |
| filter(GA_Url.department_id==c.publisher.name).\ | |
| filter(GA_Url.period_name==c.month).\ | |
| order_by('ga_url.pageviews::int desc')[:20] | |
| for entry in entries: | |
| if entry.url.startswith('/dataset/'): | |
| p = model.Package.get(entry.url[len('/dataset/'):]) | |
| c.top_packages.append((p,entry.pageviews,entry.visitors)) | |
| return render('ga_report/publisher/read.html') | |
| import os | |
| import logging | |
| import datetime | |
| from pylons import config | |
| import ga_model | |
| #from ga_client import GA | |
| log = logging.getLogger('ckanext.ga-report') | |
| FORMAT_MONTH = '%Y-%m' | |
| class DownloadAnalytics(object): | |
| '''Downloads and stores analytics info''' | |
| def __init__(self, service=None, profile_id=None): | |
| self.period = config['ga-report.period'] | |
| self.service = service | |
| self.profile_id = profile_id | |
| 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': | |
| # from first of this month to today | |
| now = datetime.datetime.now() | |
| first_of_this_month = datetime.datetime(now.year, now.month, 1) | |
| periods = ((now.strftime(FORMAT_MONTH), | |
| now.day, | |
| first_of_this_month, now),) | |
| else: | |
| raise NotImplementedError | |
| self.download_and_store(periods) | |
| 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 = for_date.year | |
| month = for_date.month | |
| now = datetime.datetime.now() | |
| first_of_this_month = datetime.datetime(now.year, now.month, 1) | |
| while True: | |
| first_of_the_month = datetime.datetime(year, month, 1) | |
| if first_of_the_month == first_of_this_month: | |
| periods.append((now.strftime(FORMAT_MONTH), | |
| now.day, | |
| first_of_this_month, now)) | |
| break | |
| elif first_of_the_month < first_of_this_month: | |
| in_the_next_month = first_of_the_month + datetime.timedelta(40) | |
| last_of_the_month = datetime.datetime(in_the_next_month.year, | |
| in_the_next_month.month, 1)\ | |
| - datetime.timedelta(1) | |
| periods.append((now.strftime(FORMAT_MONTH), 0, | |
| first_of_the_month, last_of_the_month)) | |
| else: | |
| # first_of_the_month has got to the future somehow | |
| break | |
| month += 1 | |
| if month > 12: | |
| year += 1 | |
| month = 1 | |
| else: | |
| raise NotImplementedError | |
| self.download_and_store(periods) | |
| @staticmethod | |
| def get_full_period_name(period_name, period_complete_day): | |
| if period_complete_day: | |
| return period_name + ' (up to %ith)' % period_complete_day | |
| else: | |
| return period_name | |
| 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)', | |
| 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-_]+'): | |
| '''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' | |
| # 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:pagePath", | |
| 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 | |
| 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): | |
| import calendar | |
| year, month = period_name.split('-') | |
| _, last_day_of_month = calendar.monthrange(int(year), int(month)) | |
| start_date = '%s-01' % period_name | |
| end_date = '%s-%s' % (period_name, last_day_of_month) | |
| print 'Sitewide_stats for %s (%s -> %s)' % (period_name, start_date, end_date) | |
| funcs = ['_totals_stats', '_social_stats', '_os_stats', | |
| '_locale_stats', '_browser_stats', '_mobile_stats'] | |
| for f in funcs: | |
| print ' + Fetching %s stats' % f.split('_')[1] | |
| getattr(self, f)(start_date, end_date, period_name) | |
| def _get_results(result_data, f): | |
| data = {} | |
| for result in result_data: | |
| key = f(result) | |
| data[key] = data.get(key,0) + result[1] | |
| return data | |
| def _totals_stats(self, start_date, end_date, period_name): | |
| """ Fetches distinct totals, total pageviews etc """ | |
| results = self.service.data().ga().get( | |
| ids='ga:' + self.profile_id, | |
| start_date=start_date, | |
| metrics='ga:uniquePageviews', | |
| sort='-ga:uniquePageviews', | |
| max_results=10000, | |
| end_date=end_date).execute() | |
| result_data = results.get('rows') | |
| ga_model.update_sitewide_stats(period_name, "Totals", {'Total 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', | |
| 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], | |
| } | |
| ga_model.update_sitewide_stats(period_name, "Totals", data) | |
| def _locale_stats(self, start_date, end_date, period_name): | |
| """ Fetches stats about language and country """ | |
| results = self.service.data().ga().get( | |
| ids='ga:' + self.profile_id, | |
| start_date=start_date, | |
| metrics='ga:uniquePageviews', | |
| sort='-ga:uniquePageviews', | |
| dimensions="ga:language,ga:country", | |
| max_results=10000, | |
| end_date=end_date).execute() | |
| result_data = results.get('rows') | |
| data = {} | |
| for result in result_data: | |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
| ga_model.update_sitewide_stats(period_name, "Languages", data) | |
| data = {} | |
| for result in result_data: | |
| data[result[1]] = data.get(result[1], 0) + int(result[2]) | |
| ga_model.update_sitewide_stats(period_name, "Country", data) | |
| def _social_stats(self, start_date, end_date, period_name): | |
| """ Finds out which social sites people are referred from """ | |
| results = self.service.data().ga().get( | |
| ids='ga:' + self.profile_id, | |
| start_date=start_date, | |
| metrics='ga:uniquePageviews', | |
| sort='-ga:uniquePageviews', | |
| dimensions="ga:socialNetwork,ga:referralPath", | |
| max_results=10000, | |
| end_date=end_date).execute() | |
| result_data = results.get('rows') | |
| twitter_links = [] | |
| data = {} | |
| for result in result_data: | |
| if not result[0] == '(not set)': | |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
| if result[0] == 'Twitter': | |
| twitter_links.append(result[1]) | |
| ga_model.update_sitewide_stats(period_name, "Social sources", data) | |
| def _os_stats(self, start_date, end_date, period_name): | |
| """ Operating system stats """ | |
| results = self.service.data().ga().get( | |
| ids='ga:' + self.profile_id, | |
| start_date=start_date, | |
| metrics='ga:uniquePageviews', | |
| sort='-ga:uniquePageviews', | |
| dimensions="ga:operatingSystem,ga:operatingSystemVersion", | |
| max_results=10000, | |
| end_date=end_date).execute() | |
| result_data = results.get('rows') | |
| data = {} | |
| for result in result_data: | |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
| ga_model.update_sitewide_stats(period_name, "Operating Systems", data) | |
| data = {} | |
| for result in result_data: | |
| key = "%s (%s)" % (result[0],result[1]) | |
| data[key] = result[2] | |
| ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) | |
| def _browser_stats(self, start_date, end_date, period_name): | |
| """ Information about browsers and browser versions """ | |
| results = self.service.data().ga().get( | |
| ids='ga:' + self.profile_id, | |
| start_date=start_date, | |
| metrics='ga:uniquePageviews', | |
| sort='-ga:uniquePageviews', | |
| dimensions="ga:browser,ga:browserVersion", | |
| max_results=10000, | |
| end_date=end_date).execute() | |
| result_data = results.get('rows') | |
| data = {} | |
| for result in result_data: | |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
| ga_model.update_sitewide_stats(period_name, "Browsers", data) | |
| data = {} | |
| for result in result_data: | |
| key = "%s (%s)" % (result[0], result[1]) | |
| data[key] = result[2] | |
| ga_model.update_sitewide_stats(period_name, "Browser versions", data) | |
| def _mobile_stats(self, start_date, end_date, period_name): | |
| """ Info about mobile devices """ | |
| results = self.service.data().ga().get( | |
| ids='ga:' + self.profile_id, | |
| start_date=start_date, | |
| metrics='ga:uniquePageviews', | |
| sort='-ga:uniquePageviews', | |
| dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", | |
| max_results=10000, | |
| end_date=end_date).execute() | |
| result_data = results.get('rows') | |
| data = {} | |
| for result in result_data: | |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
| ga_model.update_sitewide_stats(period_name, "Mobile brands", data) | |
| data = {} | |
| for result in result_data: | |
| data[result[1]] = data.get(result[1], 0) + int(result[2]) | |
| ga_model.update_sitewide_stats(period_name, "Mobile devices", data) | |
| import os | |
| import httplib2 | |
| from apiclient.discovery import build | |
| from oauth2client.client import flow_from_clientsecrets | |
| from oauth2client.file import Storage | |
| from oauth2client.tools import run | |
| from pylons import config | |
| def _prepare_credentials(token_filename, credentials_filename): | |
| """ | |
| Either returns the user's oauth credentials or uses the credentials | |
| file to generate a token (by forcing the user to login in the browser) | |
| """ | |
| storage = Storage(token_filename) | |
| credentials = storage.get() | |
| if credentials is None or credentials.invalid: | |
| flow = flow_from_clientsecrets(credentials_filename, | |
| scope='https://www.googleapis.com/auth/analytics.readonly', | |
| message="Can't find the credentials file") | |
| credentials = run(flow, storage) | |
| return credentials | |
| def init_service(token_file, credentials_file): | |
| """ | |
| Given a file containing the user's oauth token (and another with | |
| credentials in case we need to generate the token) will return a | |
| service object representing the analytics API. | |
| """ | |
| http = httplib2.Http() | |
| credentials = _prepare_credentials(token_file, credentials_file) | |
| http = credentials.authorize(http) # authorize the http object | |
| return build('analytics', 'v3', http=http) | |
| def get_profile_id(service): | |
| """ | |
| Get the profile ID for this user and the service specified by the | |
| 'googleanalytics.id' configuration option. This function iterates | |
| over all of the accounts available to the user who invoked the | |
| service to find one where the account name matches (in case the | |
| user has several). | |
| """ | |
| accounts = service.management().accounts().list().execute() | |
| if not accounts.get('items'): | |
| return None | |
| accountName = config.get('googleanalytics.account') | |
| webPropertyId = config.get('googleanalytics.id') | |
| for acc in accounts.get('items'): | |
| if acc.get('name') == accountName: | |
| accountId = acc.get('id') | |
| webproperties = service.management().webproperties().list(accountId=accountId).execute() | |
| profiles = service.management().profiles().list( | |
| accountId=accountId, webPropertyId=webPropertyId).execute() | |
| if profiles.get('items'): | |
| return profiles.get('items')[0].get('id') | |
| return None | |
| import re | |
| import uuid | |
| from sqlalchemy import Table, Column, MetaData | |
| from sqlalchemy import types | |
| from sqlalchemy.sql import select | |
| from sqlalchemy.orm import mapper | |
| from sqlalchemy import func | |
| import ckan.model as model | |
| from ckan.lib.base import * | |
| def make_uuid(): | |
| return unicode(uuid.uuid4()) | |
| class GA_Url(object): | |
| def __init__(self, **kwargs): | |
| for k,v in kwargs.items(): | |
| setattr(self, k, v) | |
| class GA_Stat(object): | |
| def __init__(self, **kwargs): | |
| for k,v in kwargs.items(): | |
| setattr(self, k, v) | |
| class GA_Publisher(object): | |
| def __init__(self, **kwargs): | |
| for k,v in kwargs.items(): | |
| setattr(self, k, v) | |
| metadata = MetaData() | |
| url_table = Table('ga_url', metadata, | |
| Column('id', types.UnicodeText, primary_key=True, | |
| default=make_uuid), | |
| Column('period_name', types.UnicodeText), | |
| Column('period_complete_day', types.Integer), | |
| Column('pageviews', types.UnicodeText), | |
| Column('visitors', types.UnicodeText), | |
| Column('url', types.UnicodeText), | |
| Column('department_id', types.UnicodeText), | |
| ) | |
| mapper(GA_Url, url_table) | |
| stat_table = Table('ga_stat', metadata, | |
| Column('id', types.UnicodeText, primary_key=True, | |
| default=make_uuid), | |
| Column('period_name', types.UnicodeText), | |
| Column('stat_name', types.UnicodeText), | |
| Column('key', types.UnicodeText), | |
| Column('value', types.UnicodeText), ) | |
| mapper(GA_Stat, stat_table) | |
| pub_table = Table('ga_publisher', metadata, | |
| Column('id', types.UnicodeText, primary_key=True, | |
| default=make_uuid), | |
| Column('period_name', types.UnicodeText), | |
| Column('publisher_name', types.UnicodeText), | |
| Column('views', types.UnicodeText), | |
| Column('visitors', types.UnicodeText), | |
| Column('toplevel', types.Boolean, default=False), | |
| Column('subpublishercount', types.Integer, default=0), | |
| Column('parent', types.UnicodeText), | |
| ) | |
| mapper(GA_Publisher, pub_table) | |
| def init_tables(): | |
| metadata.create_all(model.meta.engine) | |
| cached_tables = {} | |
| def get_table(name): | |
| if name not in cached_tables: | |
| meta = MetaData() | |
| meta.reflect(bind=model.meta.engine) | |
| table = meta.tables[name] | |
| cached_tables[name] = table | |
| return cached_tables[name] | |
| def _normalize_url(url): | |
| '''Strip off the hostname etc. Do this before storing it. | |
| >>> normalize_url('http://data.gov.uk/dataset/weekly_fuel_prices') | |
| '/dataset/weekly_fuel_prices' | |
| ''' | |
| url = re.sub('https?://(www\.)?data.gov.uk', '', url) | |
| return url | |
| def _get_department_id_of_url(url): | |
| # e.g. /dataset/fuel_prices | |
| # e.g. /dataset/fuel_prices/resource/e63380d4 | |
| dataset_match = re.match('/dataset/([^/]+)(/.*)?', url) | |
| if dataset_match: | |
| dataset_ref = dataset_match.groups()[0] | |
| dataset = model.Package.get(dataset_ref) | |
| if dataset: | |
| publisher_groups = dataset.get_groups('publisher') | |
| if publisher_groups: | |
| return publisher_groups[0].name | |
| else: | |
| publisher_match = re.match('/publisher/([^/]+)(/.*)?', url) | |
| if publisher_match: | |
| return publisher_match.groups()[0] | |
| def update_sitewide_stats(period_name, stat_name, data): | |
| for k,v in data.iteritems(): | |
| item = model.Session.query(GA_Stat).\ | |
| filter(GA_Stat.period_name==period_name).\ | |
| filter(GA_Stat.key==k).\ | |
| filter(GA_Stat.stat_name==stat_name).first() | |
| if item: | |
| item.period_name = period_name | |
| item.key = k | |
| item.value = v | |
| model.Session.add(item) | |
| else: | |
| # create the row | |
| values = {'id': make_uuid(), | |
| 'period_name': period_name, | |
| 'key': k, | |
| 'value': v, | |
| 'stat_name': stat_name | |
| } | |
| model.Session.add(GA_Stat(**values)) | |
| model.Session.commit() | |
| def update_url_stats(period_name, period_complete_day, url_data): | |
| for url, views, visitors in url_data: | |
| url = _normalize_url(url) | |
| department_id = _get_department_id_of_url(url) | |
| # see if the row for this url & month is in the table already | |
| item = model.Session.query(GA_Url).\ | |
| filter(GA_Url.period_name==period_name).\ | |
| filter(GA_Url.url==url).first() | |
| if item: | |
| item.period_name = period_name | |
| item.pageviews = views | |
| item.visitors = visitors | |
| item.department_id = department_id | |
| model.Session.add(item) | |
| else: | |
| # create the row | |
| values = {'id': make_uuid(), | |
| 'period_name': period_name, | |
| 'period_complete_day': period_complete_day, | |
| 'url': url, | |
| 'pageviews': views, | |
| 'visitors': visitors, | |
| 'department_id': department_id | |
| } | |
| model.Session.add(GA_Url(**values)) | |
| model.Session.commit() | |
| def update_publisher_stats(period_name): | |
| """ | |
| Updates the publisher stats from the data retrieved for /dataset/* | |
| and /publisher/*. Will run against each dataset and generates the | |
| totals for the entire tree beneath each publisher. | |
| """ | |
| toplevel = get_top_level() | |
| publishers = model.Session.query(model.Group).\ | |
| filter(model.Group.type=='publisher').\ | |
| filter(model.Group.state=='active').all() | |
| for publisher in publishers: | |
| views, visitors, subpub = update_publisher(period_name, publisher, publisher.name) | |
| parent, parents = '', publisher.get_groups('publisher') | |
| if parents: | |
| parent = parents[0].name | |
| item = model.Session.query(GA_Publisher).\ | |
| filter(GA_Publisher.period_name==period_name).\ | |
| filter(GA_Publisher.publisher_name==publisher.name).first() | |
| if item: | |
| item.views = views | |
| item.visitors = visitors | |
| item.publisher_name = publisher.name | |
| item.toplevel = publisher in toplevel | |
| item.subpublishercount = subpub | |
| item.parent = parent | |
| model.Session.add(item) | |
| else: | |
| # create the row | |
| values = {'id': make_uuid(), | |
| 'period_name': period_name, | |
| 'publisher_name': publisher.name, | |
| 'views': views, | |
| 'visitors': visitors, | |
| 'toplevel': publisher in toplevel, | |
| 'subpublishercount': subpub, | |
| 'parent': parent | |
| } | |
| model.Session.add(GA_Publisher(**values)) | |
| model.Session.commit() | |
| def update_publisher(period_name, pub, part=''): | |
| views,visitors,subpub = 0, 0, 0 | |
| for publisher in go_down_tree(pub): | |
| subpub = subpub + 1 | |
| items = model.Session.query(GA_Url).\ | |
| filter(GA_Url.period_name==period_name).\ | |
| filter(GA_Url.department_id==publisher.name).all() | |
| for item in items: | |
| views = views + int(item.pageviews) | |
| visitors = visitors + int(item.visitors) | |
| return views, visitors, (subpub-1) | |
| def get_top_level(): | |
| '''Returns the top level publishers.''' | |
| return model.Session.query(model.Group).\ | |
| outerjoin(model.Member, model.Member.table_id == model.Group.id and \ | |
| model.Member.table_name == 'group' and \ | |
| model.Member.state == 'active').\ | |
| filter(model.Member.id==None).\ | |
| filter(model.Group.type=='publisher').\ | |
| order_by(model.Group.name).all() | |
| def get_children(publisher): | |
| '''Finds child publishers for the given publisher (object). (Not recursive)''' | |
| from ckan.model.group import HIERARCHY_CTE | |
| return model.Session.query(model.Group).\ | |
| from_statement(HIERARCHY_CTE).params(id=publisher.id, type='publisher').\ | |
| all() | |
| def go_down_tree(publisher): | |
| '''Provided with a publisher object, it walks down the hierarchy and yields each publisher, | |
| including the one you supply.''' | |
| yield publisher | |
| for child in get_children(publisher): | |
| for grandchild in go_down_tree(child): | |
| yield grandchild | |
| import logging | |
| import ckan.lib.helpers as h | |
| import ckan.plugins as p | |
| from ckan.plugins import implements, toolkit | |
| #import gasnippet | |
| #import commands | |
| #import dbutil | |
| log = logging.getLogger('ckanext.ga-report') | |
| class GAReportPlugin(p.SingletonPlugin): | |
| implements(p.IConfigurer, inherit=True) | |
| implements(p.IRoutes, inherit=True) | |
| def update_config(self, config): | |
| toolkit.add_template_directory(config, 'templates') | |
| toolkit.add_public_directory(config, 'public') | |
| def after_map(self, map): | |
| map.connect( | |
| '/data/analytics/publisher/', | |
| controller='ckanext.ga_report.controller:GaPublisherReport', | |
| action='index' | |
| ) | |
| map.connect( | |
| '/data/analytics/publisher/{id}', | |
| controller='ckanext.ga_report.controller:GaPublisherReport', | |
| action='read' | |
| ) | |
| map.connect( | |
| '/data/analytics', | |
| controller='ckanext.ga_report.controller:GaReport', | |
| action='index' | |
| ) | |
| map.connect( | |
| '/data/analytics/data_{month}.csv', | |
| controller='ckanext.ga_report.controller:GaReport', | |
| action='csv' | |
| ) | |
| return map | |
| <html xmlns:py="http://genshi.edgewall.org/" | |
| xmlns:i18n="http://genshi.edgewall.org/i18n" | |
| xmlns:xi="http://www.w3.org/2001/XInclude" | |
| py:strip=""> | |
| <py:def function="page_title">Publisher Analytics for ${g.site_title}</py:def> | |
| <py:match path="primarysidebar"> | |
| <li class="widget-container boxed widget_text"> | |
| <h4>Publishers</h4> | |
| </li> | |
| </py:match> | |
| <div py:match="content"> | |
| <h1>Publisher Analytics</h1> | |
| <h2>The top 20 publishers</h2> | |
| <form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport',action='index')}" method="get"> | |
| <div class="controls"> | |
| <select name="month"> | |
| <py:for each="val,desc in c.months"> | |
| <option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option> | |
| </py:for> | |
| </select> | |
| <input class="btn button" type='submit' value="Update"/> | |
| </div> | |
| </form> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Publisher</th> | |
| <th>Dataset Views</th> | |
| <th>Visits</th> | |
| </tr> | |
| <py:for each="publisher, views, visits in c.top_publishers"> | |
| <tr> | |
| <td>${h.link_to(publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport', action='read', id=publisher.name))} | |
| </td> | |
| <td>${views}</td> | |
| <td>${visits}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| <xi:include href="../../layout.html" /> | |
| <py:def function="optional_footer"> | |
| <script type='text/javascript'> | |
| $('.nav-tabs li a').click(function (e) { | |
| e.preventDefault(); | |
| $(this).tab('show'); | |
| }) | |
| </script> | |
| </py:def> | |
| </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=""> | |
| <py:def function="page_title">Analytics for ${g.site_title}</py:def> | |
| <py:match path="primarysidebar"> | |
| <li class="widget-container boxed widget_text"> | |
| <h4>${c.publisher.title}</h4> | |
| <p> | |
| The table shows the top 20 most viewed datasets belonging to ${c.publisher.title}. | |
| </p> | |
| <p> | |
| As well as showing the number of views within ${c.month_desc}, it will also show the | |
| number of visitors that viewed each dataset. | |
| </p> | |
| <p>The dataset list page for <a href="${h.url_for(controller='ckanext.dgu.controllers.publisher:PublisherController', action='read', id=c.publisher.name)}">${c.publisher.title}</a> was viewed ${c.publisher_page_views} times during ${c.month_desc}</p> | |
| <p>View the <a href="${h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport', action='index')}">publishers</a> leaderboard</p> | |
| </li> | |
| </py:match> | |
| <div py:match="content"> | |
| <h1>Analytics for ${c.publisher.title}</h1> | |
| <h2>Top 20 most viewed datasets</h2> | |
| <p><em>Note: this data does not include API calls</em></p> | |
| <form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport',action='read',id=c.publisher.name)}" method="get"> | |
| <div class="controls"> | |
| <select name="month"> | |
| <py:for each="val,desc in c.months"> | |
| <option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option> | |
| </py:for> | |
| </select> | |
| <input class="btn button" type='submit' value="Update"/> | |
| </div> | |
| </form> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Dataset</th> | |
| <th>Views</th> | |
| <th>Visits</th> | |
| </tr> | |
| <py:for each="package, views, visits in c.top_packages"> | |
| <tr> | |
| <td>${h.link_to(package.title or package.name, h.url_for(controller='package', action='read', id=package.name))} | |
| </td> | |
| <td>${views}</td> | |
| <td>${visits}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| <xi:include href="../../layout.html" /> | |
| </html> | |
| <html xmlns:py="http://genshi.edgewall.org/" | |
| xmlns:i18n="http://genshi.edgewall.org/i18n" | |
| xmlns:xi="http://www.w3.org/2001/XInclude" | |
| py:strip=""> | |
| <py:def function="page_title">Site analytics</py:def> | |
| <py:match path="primarysidebar"> | |
| <li class="widget-container boxed widget_text"> | |
| <h4>Statistics</h4> | |
| <p>It is possible to <a href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='csv',month=c.month)}">export the analytics data</a> as a CSV file, which contains all of the information for ${c.month_desc}</p> | |
| </li> | |
| </py:match> | |
| <div py:match="content"> | |
| <h1>Site statistics</h1> | |
| <form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}" method="get"> | |
| <div class="controls"> | |
| <select name="month"> | |
| <py:for each="val,desc in c.months"> | |
| <option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option> | |
| </py:for> | |
| </select> | |
| <input class="btn button" type='submit' value="Update"/> | |
| </div> | |
| </form> | |
| <div class="tabbable"> | |
| <ul class="nav nav-tabs"> | |
| <li class="active"><a href="#totals" data-toggle="tab">Totals</a></li> | |
| <li><a href="#browsers" data-toggle="tab">Browsers</a></li> | |
| <li><a href="#os" data-toggle="tab">Operating Systems</a></li> | |
| <li><a href="#social_networks" data-toggle="tab">Social Networks</a></li> | |
| <li><a href="#languages" data-toggle="tab">Languages</a></li> | |
| <li><a href="#country" data-toggle="tab">Country</a></li> | |
| </ul> | |
| <div class="tab-content"> | |
| <div class="tab-pane active" id="totals"> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Name</th> | |
| <th>Value</th> | |
| </tr> | |
| <py:for each="name, value in c.global_totals"> | |
| <tr> | |
| <td>${name}</td> | |
| <td>${value}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| <div class="tab-pane" id="browsers"> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Name</th> | |
| <th>Value</th> | |
| </tr> | |
| <py:for each="name, value in c.browsers"> | |
| <tr> | |
| <td>${name}</td> | |
| <td>${value}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| <div class="tab-pane" id="os"> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Name</th> | |
| <th>Value</th> | |
| </tr> | |
| <py:for each="name, value in c.os"> | |
| <tr> | |
| <td>${name}</td> | |
| <td>${value}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| <div class="tab-pane" id="social_networks"> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Name</th> | |
| <th>Value</th> | |
| </tr> | |
| <py:for each="name, value in c.social_networks"> | |
| <tr> | |
| <td>${name}</td> | |
| <td>${value}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| <div class="tab-pane" id="languages"> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Name</th> | |
| <th>Value</th> | |
| </tr> | |
| <py:for each="name, value in c.languages"> | |
| <tr> | |
| <td>${name}</td> | |
| <td>${value}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| <div class="tab-pane" id="country"> | |
| <table class="table table-condensed table-bordered table-striped"> | |
| <tr> | |
| <th>Name</th> | |
| <th>Value</th> | |
| </tr> | |
| <py:for each="name, value in c.country"> | |
| <tr> | |
| <td>${name}</td> | |
| <td>${value}</td> | |
| </tr> | |
| </py:for> | |
| </table> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <xi:include href="../../layout.html" /> | |
| <py:def function="optional_footer"> | |
| <script type='text/javascript'> | |
| $('.nav-tabs li a').click(function (e) { | |
| e.preventDefault(); | |
| $(this).tab('show'); | |
| }) | |
| </script> | |
| </py:def> | |
| </html> | |
| import os | |
| import datetime | |
| from nose.tools import assert_equal | |
| from ckanext.ga_report.download_analytics import DownloadAnalytics | |
| from ckanext.ga_report.ga_auth import (init_service, get_profile_id) | |
| from ckanext.ga_report.ga_model import init_tables | |
| class TestAPI: | |
| @classmethod | |
| def setup_class(cls): | |
| if not os.path.exists("token.dat") or not os.path.exists("credentials.json"): | |
| print '*' * 60 | |
| print "Tests may not run without first having run the auth process" | |
| print '*' * 60 | |
| init_tables() | |
| @classmethod | |
| def teardown_class(cls): | |
| pass | |
| def test_latest(self): | |
| svc = init_service("token.dat", "credentials.json") | |
| try: | |
| downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc)) | |
| downloader.latest() | |
| except Exception as e: | |
| assert False, e | |
| def test_since(self): | |
| svc = init_service("token.dat", "credentials.json") | |
| downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc)) | |
| try: | |
| downloader.for_date(datetime.datetime.now() - datetime.timedelta(days=-30)) | |
| except Exception as e: | |
| assert False, e | |
| import os | |
| from nose.tools import assert_equal | |
| from ckanext.ga_report.ga_auth import (init_service, get_profile_id) | |
| class TestAuth: | |
| @classmethod | |
| def setup_class(cls): | |
| if not os.path.exists("token.dat") or not os.path.exists("credentials.json"): | |
| print '*' * 60 | |
| print "Tests may not run without first having run the auth process" | |
| print '*' * 60 | |
| @classmethod | |
| def teardown_class(cls): | |
| pass | |
| def test_init(self): | |
| try: | |
| res = init_service(None, None) | |
| assert False, "Init service worked without credentials or tokens" | |
| except TypeError: | |
| pass | |
| def test_init_with_token(self): | |
| res = init_service("token.dat", None) | |
| assert res is not None, "Init service worked without credentials" | |
| def test_init_with_token_and_credentials(self): | |
| res = init_service("token.dat", "credentials.json") | |
| assert res is not None, "Unable to create service with valid details" | |
| def test_init_with_redentials(self): | |
| #res = init_service("", "credentials.json") | |
| # Triggers the auth flow via the browser | |
| pass | |
| def test_get_profile(self): | |
| svc = init_service("token.dat", "credentials.json") | |
| profile = get_profile_id(svc) | |
| assert profile is not None, "Unable to find a profile given configured UA id and user details" |
| { | |
| "installed": { | |
| "client_id": "", | |
| "client_secret": "", | |
| "redirect_uris": [""], | |
| "auth_uri": "https://accounts.google.com/o/oauth2/auth", | |
| "token_uri": "https://accounts.google.com/o/oauth2/token" | |
| } | |
| } | |
| from setuptools import setup, find_packages | |
| import sys, os | |
| version = '0.1' | |
| setup( | |
| name='ckanext-ga-report', | |
| version=version, | |
| description="GA reporting for CKAN", | |
| long_description="""\ | |
| """, | |
| classifiers=[], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers | |
| keywords='', | |
| author='David Read', | |
| author_email='david.read@hackneyworkshop.com', | |
| url='', | |
| license='', | |
| packages=find_packages(exclude=['ez_setup', 'examples', 'tests']), | |
| namespace_packages=['ckanext', 'ckanext.ga_report'], | |
| include_package_data=True, | |
| zip_safe=False, | |
| install_requires=[ | |
| 'gdata', | |
| 'google-api-python-client' | |
| ], | |
| entry_points=\ | |
| """ | |
| [ckan.plugins] | |
| # Add plugins here, eg | |
| ga-report=ckanext.ga_report.plugin:GAReportPlugin | |
| [paste.paster_command] | |
| loadanalytics = ckanext.ga_report.command:LoadAnalytics | |
| initdb = ckanext.ga_report.command:InitDB | |
| getauthtoken = ckanext.ga_report.command:GetAuthToken | |
| """, | |
| ) | |