From: Ross Jones Date: Wed, 07 Nov 2012 14:11:35 +0000 Subject: Handling duplicate urls in ga_url processing X-Git-Url: http://maxious.lambdacomplex.org/git/?p=ckanext-ga-report.git&a=commitdiff&h=6a953b2c1630aabdd8d7ea629b3f06c8c2f6eb47 --- Handling duplicate urls in ga_url processing --- --- a/README.rst +++ b/README.rst @@ -31,10 +31,12 @@ 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) ga-report.period = monthly + ga-report.bounce_url = /data - 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 the path to use when calculating bounces. For DGU this is /data + 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):: @@ -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 @@ -79,7 +87,7 @@ 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 --- a/ckanext/ga_report/command.py +++ b/ckanext/ga_report/command.py @@ -73,6 +73,14 @@ max_args = 2 min_args = 1 + 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') + def command(self): self._load_config() @@ -83,10 +91,11 @@ svc = init_service(self.args[0], None) except TypeError: print ('Have you correctly run the getauthtoken task and ' - 'specified the correct file here') + 'specified the correct token file?') 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) time_period = self.args[1] if self.args and len(self.args) > 1 \ else 'latest' --- a/ckanext/ga_report/controller.py +++ b/ckanext/ga_report/controller.py @@ -9,7 +9,7 @@ import sqlalchemy from sqlalchemy import func, cast, Integer import ckan.model as model -from ga_model import GA_Url, GA_Stat, GA_ReferralStat +from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher log = logging.getLogger('ckanext.ga-report') @@ -22,8 +22,9 @@ def _month_details(cls): + '''Returns a list of all the month names''' months = [] - vals = model.Session.query(cls.period_name).distinct().all() + vals = model.Session.query(cls.period_name).filter(cls.period_name!='All').distinct().all() for m in vals: months.append( (m[0], _get_month_name(m[0]))) return sorted(months, key=operator.itemgetter(0), reverse=True) @@ -70,15 +71,15 @@ 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']: + if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounces']: 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 == 'New visits': + if key in ['New visits','Bounces']: val = "%s%%" % val - if key in ['Bounces', 'Total page views', 'Total visits']: + if key in ['Total page views', 'Total visits']: val = int(val) return key, val @@ -93,11 +94,12 @@ for e in entries: d[e.key].append(float(e.value)) for k, v in d.iteritems(): - if k in ['Bounces', 'Total page views', 'Total visits']: + 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)) @@ -134,29 +136,7 @@ c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'', entry[1])) - - browser_version_re = re.compile("(.*)\((.*)\)") for k, v in keys.iteritems(): - - def clean_field(key): - if k != 'Browser versions': - return key - m = browser_version_re.match(key) - browser = m.groups()[0].strip() - ver = m.groups()[1] - parts = ver.split('.') - if len(parts) > 1: - if parts[1][0] == '0': - ver = parts[0] - else: - ver = "%s.%s" % (parts[0],parts[1]) - if browser in ['Safari','Android Browser']: # Special case complex version nums - ver = parts[0] - if len(ver) > 2: - ver = "%s%sX" % (ver[0], ver[1]) - - return "%s (%s)" % (browser, ver,) - q = model.Session.query(GA_Stat).\ filter(GA_Stat.stat_name==k) if c.month: @@ -166,15 +146,11 @@ d = collections.defaultdict(int) for e in q.all(): - d[clean_field(e.key)] += int(e.value) + 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) - - def percent(num, total): - p = 100 * float(num)/float(total) - return "%.2f%%" % round(p, 2) # Get the total for each set of values and then set the value as # a percentage of the total @@ -182,57 +158,65 @@ 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 ]) + setattr(c, v, [(k,_percent(v,total)) for k,v in entries ]) return render('ga_report/site/index.html') -class GaPublisherReport(BaseController): +class GaDatasetReport(BaseController): """ - Displays the pageview and visit count for specific publishers based on - the datasets associated with the publisher. + Displays the pageview and visit count for datasets + with options to filter by publisher and time period. """ - def csv(self, month): - - c.month = month if not month =='all' else '' + 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", "Views", "Visits", "Period Name"]) - - for publisher,view,visit in _get_publishers(None): + 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 publisher_csv(self, id, month): - - c.month = month if not month =='all' else '' - c.publisher = model.Group.get(id) - if not c.publisher: - abort(404, 'A publisher with that name could not be found') + 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=%s_%s.csv' % (c.publisher.name, month,)) + str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,)) writer = csv.writer(response) - writer.writerow(["Publisher", "Views", "Visits", "Period Name"]) + 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 index(self): + 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. @@ -244,52 +228,52 @@ if c.month: c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) - c.top_publishers = _get_publishers() - + c.top_publishers = _get_top_publishers() return render('ga_report/publisher/index.html') - - def _get_packages(self, publisher, count=-1): + def _get_packages(self, publisher=None, count=-1): + '''Returns the datasets in order of visits''' 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.visitors::int desc') top_packages = [] - q = model.Session.query(GA_Url).\ - filter(GA_Url.department_id==publisher.name).\ - filter(GA_Url.url.like('/dataset/%')) - if c.month: - q = q.filter(GA_Url.period_name==c.month) - q = q.order_by('ga_url.pageviews::int desc') - - if c.month: - for entry in q[:count]: - p = model.Package.get(entry.url[len('/dataset/'):]) - top_packages.append((p,entry.pageviews,entry.visitors)) - else: - ds = {} - for entry in q.all(): - if len(ds) >= count: - break - p = model.Package.get(entry.url[len('/dataset/'):]) - if not p in ds: - ds[p] = {'views':0, 'visits': 0} - ds[p]['views'] = ds[p]['views'] + int(entry.pageviews) - ds[p]['visits'] = ds[p]['visits'] + int(entry.visitors) - - results = [] - for k, v in ds.iteritems(): - results.append((k,v['views'],v['visits'])) - - top_packages = sorted(results, key=operator.itemgetter(1), reverse=True) + for entry,package in q.limit(count): + if package: + top_packages.append((package, entry.pageviews, entry.visitors)) + else: + log.warning('Could not find package associated package') + return top_packages - - def read(self, id): + 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.publisher = model.Group.get(id) - if not c.publisher: - abort(404, 'A publisher with that name could not be found') + 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 @@ -303,46 +287,59 @@ else: c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) + month = c.month or 'All' c.publisher_page_views = 0 q = model.Session.query(GA_Url).\ - filter(GA_Url.url=='/publisher/%s' % c.publisher.name) - if c.month: - entry = q.filter(GA_Url.period_name==c.month).first() - c.publisher_page_views = entry.pageviews if entry else 0 - else: - for e in q.all(): - c.publisher_page_views = c.publisher_page_views + int(e.pageviews) + 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_publishers(limit=20): +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(visitors::int) visits from ga_url - where department_id <> ''""" - if c.month: - q = q + """ - and period_name=%s - """ - q = q + """ - group by department_id order by views desc + where department_id <> '' + and package_id <> '' + and url like '/dataset/%%' + and period_name=%s + group by department_id order by visits desc """ if limit: q = q + " limit %s;" % (limit) - # Add this back (before and period_name =%s) if you want to ignore publisher - # homepage views - # and not url like '/publisher/%%' - top_publishers = [] - res = connection.execute(q, c.month) - + res = connection.execute(q, month) for row in res: g = model.Group.get(row[0]) if g: top_publishers.append((g, row[1], row[2])) return top_publishers + +def _get_publishers(): + ''' + Returns a list of all publishers. Each item is a tuple: + (names, title) + ''' + 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 @@ -3,7 +3,7 @@ import datetime import collections from pylons import config - +from ga_model import _normalize_url import ga_model #from ga_client import GA @@ -11,15 +11,17 @@ 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): self.period = config['ga-report.period'] self.service = service self.profile_id = profile_id - + self.delete_first = delete_first def specific_month(self, date): import calendar @@ -90,16 +92,26 @@ def download_and_store(self, periods): for period_name, period_complete_day, start_date, end_date in periods: + if self.delete_first: + log.info('Deleting existing Analytics for period "%s"', + period_name) + ga_model.delete(period_name) log.info('Downloading Analytics for period "%s" (%s - %s)', self.get_full_period_name(period_name, period_complete_day), start_date.strftime('%Y %m %d'), end_date.strftime('%Y %m %d')) - data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+') + + # Clean up the entries before we run this + ga_model.pre_update_url_stats(period_name) + + accountName = config.get('googleanalytics.account') + + data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName) 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-_]+') + data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName) 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,) @@ -108,6 +120,7 @@ self.sitewide_stats( period_name ) 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') @@ -130,17 +143,16 @@ data = collections.defaultdict(list) rows = results.get('rows',[]) for row in rows: - from ga_model import _normalize_url data[_normalize_url(row[0])].append( (row[1], int(row[2]),) ) ga_model.update_social(period_name, data) - def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'): + def download(self, start_date, end_date, path=None): '''Get data from GA for a given time period''' start_date = start_date.strftime('%Y-%m-%d') end_date = end_date.strftime('%Y-%m-%d') query = 'ga:pagePath=%s$' % path - metrics = 'ga:uniquePageviews, ga:visitors' + metrics = 'ga:uniquePageviews, ga:visits' sort = '-ga:uniquePageviews' # Supported query params at @@ -155,15 +167,13 @@ max_results=10000, end_date=end_date).execute() - if os.getenv('DEBUG'): - import pprint - pprint.pprint(results) - print 'Total results: %s' % results.get('totalResults') - packages = [] for entry in results.get('rows'): (loc,pageviews,visits) = entry - packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack + url = _normalize_url('http:/' + loc) + if not url.startswith('/dataset/') and not url.startswith('/publisher/'): + continue + packages.append( (url, pageviews, visits,) ) # Temporary hack return dict(url=packages) def store(self, period_name, period_complete_day, data): @@ -207,19 +217,38 @@ results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, - metrics='ga:pageviewsPerVisit,ga:bounces,ga:avgTimeOnSite,ga:percentNewVisits,ga:visitors', + metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits', max_results=10000, end_date=end_date).execute() result_data = results.get('rows') data = { 'Pages per visit': result_data[0][0], - 'Bounces': result_data[0][1], - 'Average time on site': result_data[0][2], - 'New visits': result_data[0][3], - 'Total visits': result_data[0][4], + 'Average time on site': result_data[0][1], + 'New visits': result_data[0][2], + 'Total visits': result_data[0][3], } ga_model.update_sitewide_stats(period_name, "Totals", data) + # Bounces from /data. This url is specified in configuration because + # for DGU we don't want /. + path = config.get('ga-report.bounce_url','/') + print path + results = self.service.data().ga().get( + ids='ga:' + self.profile_id, + filters='ga:pagePath=~%s$' % (path,), + start_date=start_date, + metrics='ga:bounces,ga:uniquePageviews', + dimensions='ga:pagePath', + max_results=10000, + end_date=end_date).execute() + result_data = results.get('rows') + for results in result_data: + if results[0] == path: + bounce, total = [float(x) for x in results[1:]] + pct = 100 * bounce/total + print "%d bounces from %d total == %s" % (bounce, total, pct) + ga_model.update_sitewide_stats(period_name, "Totals", {'Bounces': pct}) + def _locale_stats(self, start_date, end_date, period_name): """ Fetches stats about language and country """ @@ -235,11 +264,13 @@ data = {} for result in result_data: data[result[0]] = data.get(result[0], 0) + int(result[2]) + self._filter_out_long_tail(data, MIN_VIEWS) ga_model.update_sitewide_stats(period_name, "Languages", data) data = {} for result in result_data: data[result[1]] = data.get(result[1], 0) + int(result[2]) + self._filter_out_long_tail(data, MIN_VIEWS) ga_model.update_sitewide_stats(period_name, "Country", data) @@ -254,13 +285,11 @@ 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]) + self._filter_out_long_tail(data, 3) ga_model.update_sitewide_stats(period_name, "Social sources", data) @@ -278,12 +307,14 @@ data = {} for result in result_data: data[result[0]] = data.get(result[0], 0) + int(result[2]) + self._filter_out_long_tail(data, MIN_VIEWS) ga_model.update_sitewide_stats(period_name, "Operating Systems", data) data = {} for result in result_data: - key = "%s (%s)" % (result[0],result[1]) - data[key] = result[2] + if int(result[2]) >= MIN_VIEWS: + key = "%s %s" % (result[0],result[1]) + data[key] = result[2] ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) @@ -298,17 +329,42 @@ max_results=10000, end_date=end_date).execute() result_data = results.get('rows') + # e.g. [u'Firefox', u'19.0', u'20'] + data = {} for result in result_data: data[result[0]] = data.get(result[0], 0) + int(result[2]) + self._filter_out_long_tail(data, MIN_VIEWS) ga_model.update_sitewide_stats(period_name, "Browsers", data) data = {} for result in result_data: - key = "%s (%s)" % (result[0], result[1]) - data[key] = result[2] + key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1])) + data[key] = data.get(key, 0) + int(result[2]) + self._filter_out_long_tail(data, MIN_VIEWS) ga_model.update_sitewide_stats(period_name, "Browser versions", data) + @classmethod + def _filter_browser_version(cls, browser, version_str): + ''' + Simplifies a browser version string if it is detailed. + i.e. groups together Firefox 3.5.1 and 3.5.2 to be just 3. + This is helpful when viewing stats and good to protect privacy. + ''' + ver = version_str + parts = ver.split('.') + if len(parts) > 1: + if parts[1][0] == '0': + ver = parts[0] + else: + ver = "%s" % (parts[0]) + # Special case complex version nums + if browser in ['Safari', 'Android Browser']: + ver = parts[0] + if len(ver) > 2: + num_hidden_digits = len(ver) - 2 + ver = ver[0] + ver[1] + 'X' * num_hidden_digits + return ver def _mobile_stats(self, start_date, end_date, period_name): """ Info about mobile devices """ @@ -326,10 +382,23 @@ data = {} for result in result_data: data[result[0]] = data.get(result[0], 0) + int(result[2]) + self._filter_out_long_tail(data, MIN_VIEWS) ga_model.update_sitewide_stats(period_name, "Mobile brands", data) data = {} for result in result_data: data[result[1]] = data.get(result[1], 0) + int(result[2]) + self._filter_out_long_tail(data, MIN_VIEWS) ga_model.update_sitewide_stats(period_name, "Mobile devices", data) + @classmethod + def _filter_out_long_tail(cls, data, threshold=10): + ''' + Given data which is a frequency distribution, filter out + results which are below a threshold count. This is good to protect + privacy. + ''' + for key, value in data.items(): + if value < threshold: + del data[key] + --- a/ckanext/ga_report/ga_auth.py +++ b/ckanext/ga_report/ga_auth.py @@ -53,7 +53,11 @@ return None accountName = config.get('googleanalytics.account') + if not accountName: + raise Exception('googleanalytics.account needs to be configured') webPropertyId = config.get('googleanalytics.id') + if not webPropertyId: + raise Exception('googleanalytics.id needs to be configured') for acc in accounts.get('items'): if acc.get('name') == accountName: accountId = acc.get('id') --- a/ckanext/ga_report/ga_model.py +++ b/ckanext/ga_report/ga_model.py @@ -1,10 +1,10 @@ import re import uuid -from sqlalchemy import Table, Column, MetaData +from sqlalchemy import Table, Column, MetaData, ForeignKey from sqlalchemy import types from sqlalchemy.sql import select -from sqlalchemy.orm import mapper +from sqlalchemy.orm import mapper, relation from sqlalchemy import func import ckan.model as model @@ -14,8 +14,6 @@ return unicode(uuid.uuid4()) metadata = MetaData() - - class GA_Url(object): @@ -32,6 +30,7 @@ Column('visitors', types.UnicodeText), Column('url', types.UnicodeText), Column('department_id', types.UnicodeText), + Column('package_id', types.UnicodeText), ) mapper(GA_Url, url_table) @@ -117,7 +116,7 @@ return '/' + '/'.join(url.split('/')[2:]) -def _get_department_id_of_url(url): +def _get_package_and_publisher(url): # e.g. /dataset/fuel_prices # e.g. /dataset/fuel_prices/resource/e63380d4 dataset_match = re.match('/dataset/([^/]+)(/.*)?', url) @@ -127,12 +126,13 @@ if dataset: publisher_groups = dataset.get_groups('publisher') if publisher_groups: - return publisher_groups[0].name + return dataset_ref,publisher_groups[0].name + return dataset_ref, None else: publisher_match = re.match('/publisher/([^/]+)(/.*)?', url) if publisher_match: - return publisher_match.groups()[0] - + return None, publisher_match.groups()[0] + return None, None def update_sitewide_stats(period_name, stat_name, data): for k,v in data.iteritems(): @@ -157,34 +157,76 @@ model.Session.commit() +def update_url_stat_totals(period_name): + + """ + items = model.Session.query(GA_Url).\ + filter(GA_Url.period_name != "All").\ + filter(GA_Url.url==url).all() + values = {'id': make_uuid(), + 'period_name': "All", + 'period_complete_day': "0", + 'url': url, + 'pageviews': sum([int(x.pageviews) for x in items]), + 'visitors': sum([int(x.visitors) for x in items]), + 'department_id': department_id, + 'package_id': package + } + model.Session.add(GA_Url(**values)) + model.Session.commit() + """ + +def pre_update_url_stats(period_name): + model.Session.query(GA_Url).\ + filter(GA_Url.period_name==period_name).delete() + model.Session.query(GA_Url).\ + filter(GA_Url.period_name=='All').delete() + 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 + package, publisher = _get_package_and_publisher(url) + 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 + item.pageviews = item.pageviews + views + item.visitors = item.visitors + visitors 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 + 'department_id': publisher, + 'package_id': package } model.Session.add(GA_Url(**values)) model.Session.commit() + + if package: + entries = model.Session.query(GA_Url).\ + filter(GA_Url.period_name!='All').\ + filter(GA_Url.url==url).all() + values = {'id': make_uuid(), + 'period_name': 'All', + 'period_complete_day': 0, + 'url': url, + 'pageviews': sum([int(e.pageviews) for e in entries]), + 'visitors': sum([int(e.visitors) for e in entries]), + 'department_id': publisher, + 'package_id': package + } + + model.Session.add(GA_Url(**values)) + model.Session.commit() + + + def update_social(period_name, data): @@ -295,3 +337,15 @@ for grandchild in go_down_tree(child): yield grandchild +def delete(period_name): + ''' + Deletes table data for the specified period, or specify 'all' + for all periods. + ''' + for object_type in (GA_Url, GA_Stat, GA_Publisher, GA_ReferralStat): + q = model.Session.query(object_type) + if period_name != 'all': + q = q.filter_by(period_name=period_name) + q.delete() + model.Session.commit() + --- a/ckanext/ga_report/helpers.py +++ b/ckanext/ga_report/helpers.py @@ -1,7 +1,9 @@ import logging import operator + import ckan.lib.base as base import ckan.model as model +from ckan.logic import get_action from ckanext.ga_report.ga_model import GA_Url, GA_Publisher from ckanext.ga_report.controller import _get_publishers @@ -27,6 +29,52 @@ } return base.render_snippet('ga_report/ga_popular_datasets.html', **ctx) +def single_popular_dataset(top=20): + '''Returns a random dataset from the most popular ones. + + :param top: the number of top datasets to select from + ''' + import random + + top_datasets = model.Session.query(GA_Url).\ + filter(GA_Url.url.like('/dataset/%')).\ + order_by('ga_url.pageviews::int desc') + num_top_datasets = top_datasets.count() + + dataset = None + if num_top_datasets: + count = 0 + while not dataset: + rand = random.randrange(0, min(top, num_top_datasets)) + ga_url = top_datasets[rand] + dataset = model.Package.get(ga_url.url[len('/dataset/'):]) + if dataset and not dataset.state == 'active': + dataset = None + count += 1 + if count > 10: + break + if not dataset: + # fallback + dataset = model.Session.query(model.Package)\ + .filter_by(state='active').first() + if not dataset: + return None + dataset_dict = get_action('package_show')({'model': model, + 'session': model.Session}, + {'id':dataset.id}) + return dataset_dict + +def single_popular_dataset_html(top=20): + dataset_dict = single_popular_dataset(top) + groups = package.get('groups', []) + publishers = [ g for g in groups if g.get('type') == 'publisher' ] + publisher = publishers[0] if publishers else {'name':'', 'title': ''} + context = { + 'dataset': dataset_dict, + 'publisher': publisher_dict + } + return base.render_snippet('ga_report/ga_popular_single.html', **context) + def most_popular_datasets(publisher, count=20): @@ -37,7 +85,7 @@ results = _datasets_for_publisher(publisher, count) ctx = { - 'dataset_count': len(datasets), + 'dataset_count': len(results), 'datasets': results, 'publisher': publisher --- a/ckanext/ga_report/plugin.py +++ b/ckanext/ga_report/plugin.py @@ -4,7 +4,8 @@ from ckan.plugins import implements, toolkit from ckanext.ga_report.helpers import (most_popular_datasets, - popular_datasets) + popular_datasets, + single_popular_dataset) log = logging.getLogger('ckanext.ga-report') @@ -26,29 +27,11 @@ 'ga_report_installed': lambda: True, 'popular_datasets': popular_datasets, 'most_popular_datasets': most_popular_datasets, + 'single_popular_dataset': single_popular_dataset } def after_map(self, map): - map.connect( - '/data/site-usage/publisher', - controller='ckanext.ga_report.controller:GaPublisherReport', - action='index' - ) - map.connect( - '/data/site-usage/publisher_{month}.csv', - controller='ckanext.ga_report.controller:GaPublisherReport', - action='csv' - ) - map.connect( - '/data/site-usage/publisher/{id}_{month}.csv', - controller='ckanext.ga_report.controller:GaPublisherReport', - action='publisher_csv' - ) - map.connect( - '/data/site-usage/publisher/{id}', - controller='ckanext.ga_report.controller:GaPublisherReport', - action='read' - ) + # GaReport map.connect( '/data/site-usage', controller='ckanext.ga_report.controller:GaReport', @@ -59,6 +42,33 @@ controller='ckanext.ga_report.controller:GaReport', action='csv' ) + + # GaDatasetReport + map.connect( + '/data/site-usage/publisher', + controller='ckanext.ga_report.controller:GaDatasetReport', + action='publishers' + ) + map.connect( + '/data/site-usage/publishers_{month}.csv', + controller='ckanext.ga_report.controller:GaDatasetReport', + action='publisher_csv' + ) + map.connect( + '/data/site-usage/dataset/datasets_{id}_{month}.csv', + controller='ckanext.ga_report.controller:GaDatasetReport', + action='dataset_csv' + ) + map.connect( + '/data/site-usage/dataset', + controller='ckanext.ga_report.controller:GaDatasetReport', + action='read' + ) + map.connect( + '/data/site-usage/dataset/{id}', + controller='ckanext.ga_report.controller:GaDatasetReport', + action='read_publisher' + ) return map --- a/ckanext/ga_report/templates/ga_report/ga_popular_datasets.html +++ b/ckanext/ga_report/templates/ga_report/ga_popular_datasets.html @@ -5,7 +5,7 @@
- More popular datasets » + More popular datasets »

Popular datasets

${publisher.title}

--- /dev/null +++ b/ckanext/ga_report/templates/ga_report/ga_popular_single.html @@ -1,1 +1,31 @@ + + +
+

Featured dataset

+ +
+ +

${dataset['title']}

+ +

+ Publisher : + ${publisher['title']} +

+
${h.truncate(dataset['notes_rendered'], length=200, whole_word=True)}
+
+
+ Other popular datasets + All usage data +
+
+ + + + + + + --- a/ckanext/ga_report/templates/ga_report/ga_util.html +++ b/ckanext/ga_report/templates/ga_report/ga_util.html @@ -36,19 +36,18 @@ -
+ --- /dev/null +++ b/ckanext/ga_report/templates/ga_report/notes.html @@ -1,1 +1,17 @@ + +
  • +

    Notes

    +
      +
    • 'Views' is the number of sessions during which that page was viewed one or more times ('Unique Pageviews').
      • + +
    • 'Visitors' is the number of unique users visiting the site (whether once or more times).
      • +
    • These usage statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.
      • +
    • The results for only small numbers of views/visits are not shown. Where these relate to site pages, then they are available in full in the CSV download. Where these relate to users' web browser information, they are not disclosed, for privacy reasons.
      • +
    +
    • + + --- a/ckanext/ga_report/templates/ga_report/publisher/index.html +++ b/ckanext/ga_report/templates/ga_report/publisher/index.html @@ -5,24 +5,16 @@ - Publisher Analytics for ${g.site_title} + Usage by Publisher
  • -

    Publishers

    -

    - Dataset views records the number of times a specific dataset page has been viewed. Visits records the number of unique site visits. -

    -

    - Note: this data does not include API calls. +

    Download

    +

    + Download as CSV

    • -
  • -

    Download

    -

    - Download as CSV
    -

    -
    • +     @@ -30,10 +22,10 @@

    Site Usage

    - ${usage_nav('Publishers', None)} + ${usage_nav('Publishers')} -
    +
    - +
    + - - + -
    PublisherDataset Visits Dataset ViewsVisits
    ${h.link_to(publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport', action='read', id=publisher.name))} + ${h.link_to(publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport', action='read_publisher', id=publisher.name))} ${visits} ${views}${visits}
    --- a/ckanext/ga_report/templates/ga_report/publisher/popular.html +++ b/ckanext/ga_report/templates/ga_report/publisher/popular.html @@ -3,7 +3,7 @@ xmlns:xi="http://www.w3.org/2001/XInclude" py:strip=""> -

    We do not currently have analytics data for ${publisher.title}

    +

    We do not currently have usage data for ${publisher.title}

     @@ -15,7 +15,7 @@ -

    ${h.link_to("More analytics for " + publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport',action='read',id=publisher.name))}

    +

    ${h.link_to("More usage data for " + publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaDatasetReport',action='read_publisher',id=publisher.name))}

    --- a/ckanext/ga_report/templates/ga_report/publisher/read.html +++ b/ckanext/ga_report/templates/ga_report/publisher/read.html @@ -5,60 +5,60 @@ - Analytics for ${g.site_title} + Usage by Dataset
  • -

    Publishers

    -

    - Dataset views records the number of times a specific dataset page has been viewed for ${c.publisher.title}. Visits records the number of unique site visits. -

    -

    - Note: this data does not include API calls. +

    Download

    +

    + Download as CSV

    • - -
  • -

    Download

    -

    - Download as CSV
    -

    -
    • +
    -

    Site Usage

    +

    Site Usage

    - ${usage_nav(c.publisher.title, c.publisher)} + ${usage_nav('Datasets')} -
    -
    + +
    - -
    - + + +
    + - +

    ${c.publisher.title}

    + +

    No page views in this period

    +
    + - + - -
    DatasetVisits ViewsVisits
    ${h.link_to(package.title or package.name, h.url_for(controller='package', action='read', id=package.name))} ${visits} ${views}${visits}
    +
    --- a/ckanext/ga_report/templates/ga_report/site/index.html +++ b/ckanext/ga_report/templates/ga_report/site/index.html @@ -9,23 +9,18 @@
  • -

    Site-wide

    -

    - Note: this data does not include API calls and some values have been rounded up to 2 decimal places. Where there are a large number of browser versions they have been grouped together. +

    Download

    +

    + Download as CSV

    • -
  • -

    Download

    -

    - Download as CSV
    -

    -
    • +

    Site Usage

    - ${usage_nav('Site-wide', None)} + ${usage_nav('Site-wide')}
    @@ -36,7 +31,7 @@ - +
    @@ -88,6 +83,7 @@
    +

    Note: Where a browser has a large number of versions, these have been grouped together.

    ${stat_table(c.browser_versions)}
    @@ -100,11 +96,11 @@ ${stat_table(c.os_versions)}
    -

    Number of visits to urls referred from social networks

    +

    Number of visits that were referred from social networks

    ${social_table(c.social_referrer_totals)}
    -

    Percentage of visits referred from these social networks

    +

    Percentage of visits that were referred from these social networks

    ${stat_table(c.social_networks, 'Visits')}
    --- /dev/null +++ b/ckanext/ga_report/tests/test_download.py @@ -1,1 +1,30 @@ +from nose.tools import assert_equal +from ckanext.ga_report.download_analytics import DownloadAnalytics + +_filter_browser_version = DownloadAnalytics._filter_browser_version + +class TestBrowserVersionFilter: + def test_chrome(self): + assert_equal(_filter_browser_version('Chrome', u'6.0.472.0'), '6') + def test_firefox(self): + assert_equal(_filter_browser_version('Firefox', u'16.1'), '16') + def test_safari(self): + assert_equal(_filter_browser_version('Safari', u'534.55.3'), '53X') + assert_equal(_filter_browser_version('Safari', u'1534.55.3'), '15XX') + def test_ie(self): + assert_equal(_filter_browser_version('Internet Explorer', u'8.0'), '8') + def test_opera_mini(self): + assert_equal(_filter_browser_version('Opera Mini', u'6.5.27431'), '6') + def test_opera(self): + assert_equal(_filter_browser_version('Opera', u'11.60'), '11') + +class TestDownloadAnalytics: + def test_filter_out_long_tail(self): + data = {'Firefox': 100, + 'Obscure Browser': 5, + 'Chrome': 150} + DownloadAnalytics._filter_out_long_tail(data, 10) + assert_equal(data, {'Firefox': 100, + 'Chrome': 150}) + --- a/setup.py +++ b/setup.py @@ -26,7 +26,7 @@ entry_points=\ """ [ckan.plugins] - # Add plugins here, eg + # Add plugins here ga-report=ckanext.ga_report.plugin:GAReportPlugin [paste.paster_command]