From: Ross Jones Date: Tue, 08 Oct 2013 12:51:24 +0000 Subject: [854] Fixes unexplained failure with fetching publisher information. X-Git-Url: http://maxious.lambdacomplex.org/git/?p=ckanext-ga-report.git&a=commitdiff&h=a10c17eca1a098027973639ce595fe2c7e14547f --- [854] Fixes unexplained failure with fetching publisher information. Whilst we are still using the google lib we only let it do the oauth dance before we take over making the requests using the python-requests library. In cases where it fails with a 401 we will retry the request ONCE after trying to obtain a new token. Re-enabled all of the relevant links and html blocks that were commented out. --- --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,7 @@ *.py[co] *.py~ .gitignore +ckan.log # Packages *.egg --- a/README.rst +++ b/README.rst @@ -32,6 +32,7 @@ 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.token.filepath = ~/pyenv/token.dat ga-report.period = monthly ga-report.bounce_url = / @@ -82,13 +83,17 @@ $ paster getauthtoken --config=../ckan/development.ini +Now ensure you reference the correct path to your token.dat in your CKAN config file (e.g. development.ini):: + + googleanalytics.token.filepath = ~/pyenv/token.dat + Tutorial -------- Download some GA data and store it in CKAN's database. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file) and specifying the name of your auth file (token.dat by default) from the previous step:: - $ paster loadanalytics token.dat latest --config=../ckan/development.ini + $ paster loadanalytics latest --config=../ckan/development.ini The value after the token file is how much data you want to retrieve, this can be --- a/ckanext/ga_report/command.py +++ b/ckanext/ga_report/command.py @@ -1,5 +1,8 @@ import logging import datetime +import os + +from pylons import config from ckan.lib.cli import CkanCommand # No other CKAN imports allowed until _load_config is run, @@ -20,7 +23,7 @@ import ckan.model as model model.Session.remove() model.Session.configure(bind=model.meta.engine) - log = logging.getLogger('ckanext.ga-report') + log = logging.getLogger('ckanext.ga_report') import ga_model ga_model.init_tables() @@ -53,25 +56,52 @@ self.args[0] if self.args else 'credentials.json') +class FixTimePeriods(CkanCommand): + """ + Fixes the 'All' records for GA_Urls + + It is possible that older urls that haven't recently been visited + do not have All records. This command will traverse through those + records and generate valid All records for them. + """ + summary = __doc__.split('\n')[0] + usage = __doc__ + max_args = 0 + min_args = 0 + + def __init__(self, name): + super(FixTimePeriods, self).__init__(name) + + def command(self): + import ckan.model as model + from ga_model import post_update_url_stats + self._load_config() + model.Session.remove() + model.Session.configure(bind=model.meta.engine) + + log = logging.getLogger('ckanext.ga_report') + + log.info("Updating 'All' records for old URLs") + post_update_url_stats() + log.info("Processing complete") + + class LoadAnalytics(CkanCommand): """Get data from Google Analytics API and save it in the ga_model - Usage: paster loadanalytics + Usage: paster loadanalytics - Where is the name of the auth token file from - the getauthtoken step. - - And where is: + Where 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 + max_args = 1 + min_args = 0 def __init__(self, name): super(LoadAnalytics, self).__init__(name) @@ -85,6 +115,7 @@ default=False, dest='skip_url_stats', help='Skip the download of URL data - just do site-wide stats') + self.token = "" def command(self): self._load_config() @@ -92,19 +123,25 @@ from download_analytics import DownloadAnalytics from ga_auth import (init_service, get_profile_id) + ga_token_filepath = os.path.expanduser(config.get('googleanalytics.token.filepath', '')) + if not ga_token_filepath: + print 'ERROR: In the CKAN config you need to specify the filepath of the ' \ + 'Google Analytics token file under key: googleanalytics.token.filepath' + return + try: - svc = init_service(self.args[0], None) + self.token, svc = init_service(ga_token_filepath, None) except TypeError: 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 - downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc), + downloader = DownloadAnalytics(svc, self.token, profile_id=get_profile_id(svc), delete_first=self.options.delete_first, skip_url_stats=self.options.skip_url_stats) - time_period = self.args[1] if self.args and len(self.args) > 1 \ - else 'latest' + time_period = self.args[0] if self.args else 'latest' if time_period == 'all': downloader.all_() elif time_period == 'latest': --- a/ckanext/ga_report/controller.py +++ b/ckanext/ga_report/controller.py @@ -1,6 +1,7 @@ import re import csv import sys +import json import logging import operator import collections @@ -13,6 +14,7 @@ log = logging.getLogger('ckanext.ga-report') +DOWNLOADS_AVAILABLE_FROM = '2012-12' def _get_month_name(strdate): import calendar @@ -20,14 +22,39 @@ d = strptime(strdate, '%Y-%m') return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year) - -def _month_details(cls): - '''Returns a list of all the month names''' +def _get_unix_epoch(strdate): + from time import strptime,mktime + d = strptime(strdate, '%Y-%m') + return int(mktime(d)) + +def _month_details(cls, stat_key=None): + ''' + Returns a list of all the periods for which we have data, unfortunately + knows too much about the type of the cls being passed as GA_Url has a + more complex query + + This may need extending if we add a period_name to the stats + ''' months = [] - vals = model.Session.query(cls.period_name).filter(cls.period_name!='All').distinct().all() + day = None + + q = model.Session.query(cls.period_name,cls.period_complete_day)\ + .filter(cls.period_name!='All').distinct(cls.period_name) + if stat_key: + q= q.filter(cls.stat_name==stat_key) + + vals = q.order_by("period_name desc").all() + + if vals and vals[0][1]: + day = int(vals[0][1]) + ordinal = 'th' if 11 <= day <= 13 \ + else {1:'st',2:'nd',3:'rd'}.get(day % 10, 'th') + day = "{day}{ordinal}".format(day=day, ordinal=ordinal) + for m in vals: months.append( (m[0], _get_month_name(m[0]))) - return sorted(months, key=operator.itemgetter(0), reverse=True) + + return months, day class GaReport(BaseController): @@ -35,7 +62,7 @@ def csv(self, month): import csv - q = model.Session.query(GA_Stat) + 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.stat_name, GA_Stat.key').all() @@ -52,11 +79,12 @@ 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) + 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' @@ -84,11 +112,26 @@ return key, val + # Query historic values for sparkline rendering + sparkline_query = model.Session.query(GA_Stat)\ + .filter(GA_Stat.stat_name=='Totals')\ + .order_by(GA_Stat.period_name) + sparkline_data = {} + for x in sparkline_query: + sparkline_data[x.key] = sparkline_data.get(x.key,[]) + key, val = clean_key(x.key,float(x.value)) + tooltip = '%s: %s' % (_get_month_name(x.period_name), val) + sparkline_data[x.key].append( (tooltip,x.value) ) + # Trim the latest month, as it looks like a huge dropoff + for key in sparkline_data: + sparkline_data[key] = sparkline_data[key][:-1] + c.global_totals = [] if c.month: for e in entries: key, val = clean_key(e.key, e.value) - c.global_totals.append((key, val)) + sparkline = sparkline_data[e.key] + c.global_totals.append((key, val, sparkline)) else: d = collections.defaultdict(list) for e in entries: @@ -97,11 +140,19 @@ if k in ['Total page views', 'Total visits']: v = sum(v) else: - v = float(sum(v))/len(v) + v = float(sum(v))/float(len(v)) + sparkline = sparkline_data[k] key, val = clean_key(k,v) - c.global_totals.append((key, val)) - c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0)) + c.global_totals.append((key, val, sparkline)) + # Sort the global totals into a more pleasant order + def sort_func(x): + key = x[0] + total_order = ['Total page views','Total visits','Pages per visit'] + if key in total_order: + return total_order.index(key) + return 999 + c.global_totals = sorted(c.global_totals, key=sort_func) keys = { 'Browser versions': 'browser_versions', @@ -138,12 +189,13 @@ for k, v in keys.iteritems(): q = model.Session.query(GA_Stat).\ - filter(GA_Stat.stat_name==k) + filter(GA_Stat.stat_name==k).\ + order_by(GA_Stat.period_name) + # Buffer the tabular data if c.month: entries = [] q = q.filter(GA_Stat.period_name==c.month).\ order_by('ga_stat.value::int desc') - d = collections.defaultdict(int) for e in q.all(): d[e.key] += int(e.value) @@ -152,10 +204,27 @@ entries.append((key,val,)) entries = sorted(entries, key=operator.itemgetter(1), reverse=True) + # Run a query on all months to gather graph data + graph_query = model.Session.query(GA_Stat).\ + filter(GA_Stat.stat_name==k).\ + order_by(GA_Stat.period_name) + graph_dict = {} + for stat in graph_query: + graph_dict[ stat.key ] = graph_dict.get(stat.key,{ + 'name':stat.key, + 'raw': {} + }) + graph_dict[ stat.key ]['raw'][stat.period_name] = float(stat.value) + stats_in_table = [x[0] for x in entries] + stats_not_in_table = set(graph_dict.keys()) - set(stats_in_table) + stats = stats_in_table + sorted(list(stats_not_in_table)) + graph = [graph_dict[x] for x in stats] + setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph,percentageMode=True) )) + # Get the total for each set of values and then set the value as # a percentage of the total if k == 'Social sources': - total = sum([x for n,x in c.global_totals if n == 'Total visits']) + total = sum([x for n,x,graph 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 ]) @@ -180,7 +249,9 @@ writer = csv.writer(response) writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"]) - for publisher,view,visit in _get_top_publishers(None): + top_publishers = _get_top_publishers(limit=None) + + for publisher,view,visit in top_publishers: writer.writerow([publisher.title.encode('utf-8'), publisher.name.encode('utf-8'), view, @@ -200,19 +271,20 @@ if not c.publisher: abort(404, 'A publisher with that name could not be found') - packages = self._get_packages(c.publisher) + packages = self._get_packages(publisher=c.publisher, month=c.month) response.headers['Content-Type'] = "text/csv; charset=utf-8" response.headers['Content-Disposition'] = \ str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,)) writer = csv.writer(response) - writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"]) - - for package,view,visit in packages: + writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Resource downloads", "Period Name"]) + + for package,view,visit,downloads in packages: writer.writerow([package.title.encode('utf-8'), package.name.encode('utf-8'), view, visit, + downloads, month]) def publishers(self): @@ -220,7 +292,7 @@ # Get the month details by fetching distinct values and determining the # month names from the values. - c.months = _month_details(GA_Url) + c.months, c.day = _month_details(GA_Url) # Work out which month to show, based on query params of the first item c.month = request.params.get('month', '') @@ -229,14 +301,19 @@ c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) c.top_publishers = _get_top_publishers() - return render('ga_report/publisher/index.html') - - def _get_packages(self, publisher=None, count=-1): - '''Returns the datasets in order of visits''' - if count == -1: - count = sys.maxint - - month = c.month or 'All' + graph_data = _get_top_publishers_graph() + c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data) ) + + x = render('ga_report/publisher/index.html') + + return x + + def _get_packages(self, publisher=None, month='', count=-1): + '''Returns the datasets in order of views''' + have_download_data = True + month = month or 'All' + if month != 'All': + have_download_data = month >= DOWNLOADS_AVAILABLE_FROM q = model.Session.query(GA_Url,model.Package)\ .filter(model.Package.name==GA_Url.package_id)\ @@ -244,11 +321,28 @@ 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.visits::int desc') + q = q.order_by('ga_url.pageviews::int desc') top_packages = [] - for entry,package in q.limit(count): + if count == -1: + entries = q.all() + else: + entries = q.limit(count) + + for entry,package in entries: if package: - top_packages.append((package, entry.pageviews, entry.visits)) + # Downloads .... + if have_download_data: + dls = model.Session.query(GA_Stat).\ + filter(GA_Stat.stat_name=='Downloads').\ + filter(GA_Stat.key==package.name) + if month != 'All': # Fetch everything unless the month is specific + dls = dls.filter(GA_Stat.period_name==month) + downloads = 0 + for x in dls: + downloads += int(x.value) + else: + downloads = 'No data' + top_packages.append((package, entry.pageviews, entry.visits, downloads)) else: log.warning('Could not find package associated package') @@ -278,7 +372,7 @@ # Get the month details by fetching distinct values and determining the # month names from the values. - c.months = _month_details(GA_Url) + c.months, c.day = _month_details(GA_Url) # Work out which month to show, based on query params of the first item c.month = request.params.get('month', '') @@ -294,9 +388,73 @@ 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) + c.top_packages = self._get_packages(publisher=c.publisher, count=20, month=c.month) + + # Graph query + top_packages_all_time = self._get_packages(publisher=c.publisher, count=20, month='All') + top_package_names = [ x[0].name for x in top_packages_all_time ] + graph_query = model.Session.query(GA_Url,model.Package)\ + .filter(model.Package.name==GA_Url.package_id)\ + .filter(GA_Url.url.like('/dataset/%'))\ + .filter(GA_Url.package_id.in_(top_package_names)) + all_series = {} + for entry,package in graph_query: + if not package: continue + if entry.period_name=='All': continue + all_series[package.name] = all_series.get(package.name,{ + 'name':package.title, + 'raw': {} + }) + all_series[package.name]['raw'][entry.period_name] = int(entry.pageviews) + graph = [ all_series[series_name] for series_name in top_package_names ] + c.graph_data = json.dumps( _to_rickshaw(graph) ) return render('ga_report/publisher/read.html') + +def _to_rickshaw(data, percentageMode=False): + if data==[]: + return data + # x-axis is every month in c.months. Note that data might not exist + # for entire history, eg. for recently-added datasets + x_axis = [x[0] for x in c.months] + x_axis.reverse() # Ascending order + x_axis = x_axis[:-1] # Remove latest month + totals = {} + for series in data: + series['data'] = [] + for x_string in x_axis: + x = _get_unix_epoch( x_string ) + y = series['raw'].get(x_string,0) + series['data'].append({'x':x,'y':y}) + totals[x] = totals.get(x,0)+y + if not percentageMode: + return data + # Turn all data into percentages + # Roll insignificant series into a catch-all + THRESHOLD = 1 + raw_data = data + data = [] + for series in raw_data: + for point in series['data']: + percentage = (100*float(point['y'])) / totals[point['x']] + if not (series in data) and percentage>THRESHOLD: + data.append(series) + point['y'] = percentage + others = [ x for x in raw_data if not (x in data) ] + if len(others): + data_other = [] + for i in range(len(x_axis)): + x = _get_unix_epoch(x_axis[i]) + y = 0 + for series in others: + y += series['data'][i]['y'] + data_other.append({'x':x,'y':y}) + data.append({ + 'name':'Other', + 'data': data_other + }) + return data + def _get_top_publishers(limit=20): ''' @@ -326,10 +484,50 @@ return top_publishers +def _get_top_publishers_graph(limit=20): + ''' + Returns a list of the top 20 publishers by dataset visits. + (The number to show can be varied with 'limit') + ''' + connection = model.Session.connection() + q = """ + select department_id, sum(pageviews::int) views + from ga_url + where department_id <> '' + and package_id <> '' + and url like '/dataset/%%' + and period_name='All' + group by department_id order by views desc + """ + if limit: + q = q + " limit %s;" % (limit) + + res = connection.execute(q) + department_ids = [ row[0] for row in res ] + + # Query for a history graph of these department ids + q = model.Session.query( + GA_Url.department_id, + GA_Url.period_name, + func.sum(cast(GA_Url.pageviews,sqlalchemy.types.INT)))\ + .filter( GA_Url.department_id.in_(department_ids) )\ + .filter( GA_Url.url.like('/dataset/%') )\ + .filter( GA_Url.package_id!='' )\ + .group_by( GA_Url.department_id, GA_Url.period_name ) + graph_dict = {} + for dept_id,period_name,views in q: + graph_dict[dept_id] = graph_dict.get( dept_id, { + 'name' : model.Group.get(dept_id).title, + 'raw' : {} + }) + graph_dict[dept_id]['raw'][period_name] = views + return [ graph_dict[id] for id in department_ids ] + + def _get_publishers(): ''' Returns a list of all publishers. Each item is a tuple: - (names, title) + (name, title) ''' publishers = [] for pub in model.Session.query(model.Group).\ --- a/ckanext/ga_report/download_analytics.py +++ b/ckanext/ga_report/download_analytics.py @@ -1,7 +1,10 @@ import os import logging import datetime +import httplib import collections +import requests +import json from pylons import config from ga_model import _normalize_url import ga_model @@ -13,17 +16,19 @@ FORMAT_MONTH = '%Y-%m' MIN_VIEWS = 50 MIN_VISITS = 20 +MIN_DOWNLOADS = 10 class DownloadAnalytics(object): '''Downloads and stores analytics info''' - def __init__(self, service=None, profile_id=None, delete_first=False, + def __init__(self, service=None, token=None, profile_id=None, delete_first=False, skip_url_stats=False): self.period = config['ga-report.period'] self.service = service self.profile_id = profile_id self.delete_first = delete_first self.skip_url_stats = skip_url_stats + self.token = token def specific_month(self, date): import calendar @@ -31,6 +36,11 @@ 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) + # if this is the latest month, note that it is only up until today + now = datetime.datetime.now() + if now.year == date.year and now.month == date.month: + last_day_of_month = now.day + last_of_this_month = now periods = ((date.strftime(FORMAT_MONTH), last_day_of_month, first_of_this_month, last_of_this_month),) @@ -122,11 +132,15 @@ log.info('Storing publisher views (%i rows)', len(data.get('url'))) self.store(period_name, period_complete_day, data,) - log.info('Aggregating datasets by publisher') + # Make sure the All records are correct. + ga_model.post_update_url_stats() + + log.info('Associating datasets with their publisher') ga_model.update_publisher_stats(period_name) # about 30 seconds. + log.info('Downloading and storing analytics for site-wide stats') - self.sitewide_stats( period_name ) + self.sitewide_stats( period_name, period_complete_day ) log.info('Downloading and storing analytics for social networks') self.update_social_info(period_name, start_date, end_date) @@ -139,21 +153,32 @@ metrics = 'ga:entrances' sort = '-ga:entrances' - # Supported query params at - # https://developers.google.com/analytics/devguides/reporting/core/v3/reference - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - filters=query, - start_date=start_date, - metrics=metrics, - sort=sort, - dimensions="ga:landingPagePath,ga:socialNetwork", - max_results=10000, - end_date=end_date).execute() + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = dict(ids='ga:' + self.profile_id, + filters=query, + metrics=metrics, + sort=sort, + dimensions="ga:landingPagePath,ga:socialNetwork", + max_results=10000) + + args['start-date'] = start_date + args['end-date'] = end_date + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + + data = collections.defaultdict(list) rows = results.get('rows',[]) for row in rows: - data[_normalize_url(row[0])].append( (row[1], int(row[2]),) ) + url = _normalize_url('http:/' + row[0]) + data[url].append( (row[1], int(row[2]),) ) ga_model.update_social(period_name, data) @@ -167,17 +192,35 @@ # 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() + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = {} + args["sort"] = "-ga:pageviews" + args["max-results"] = 100000 + args["dimensions"] = "ga:pagePath" + args["start-date"] = start_date + args["end-date"] = end_date + args["metrics"] = metrics + args["ids"] = "ga:" + self.profile_id + args["filters"] = query + args["alt"] = "json" + + r = requests.get("https://www.googleapis.com/analytics/v3/data/ga", params=args, headers=headers) + if r.status_code != 200: + raise Exception("Request with params: %s failed" % args) + + results = json.loads(r.content) + print len(results.keys()) + except Exception, e: + log.exception(e) + #return dict(url=[]) + raise e packages = [] + log.info("There are %d results" % results['totalResults']) for entry in results.get('rows'): (loc,pageviews,visits) = entry url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk @@ -194,7 +237,7 @@ if 'url' in data: ga_model.update_url_stats(period_name, period_complete_day, data['url']) - def sitewide_stats(self, period_name): + def sitewide_stats(self, period_name, period_complete_day): import calendar year, month = period_name.split('-') _, last_day_of_month = calendar.monthrange(int(year), int(month)) @@ -202,10 +245,10 @@ start_date = '%s-01' % period_name end_date = '%s-%s' % (period_name, last_day_of_month) funcs = ['_totals_stats', '_social_stats', '_os_stats', - '_locale_stats', '_browser_stats', '_mobile_stats'] + '_locale_stats', '_browser_stats', '_mobile_stats', '_download_stats'] for f in funcs: log.info('Downloading analytics for %s' % f.split('_')[1]) - getattr(self, f)(start_date, end_date, period_name) + getattr(self, f)(start_date, end_date, period_name, period_complete_day) def _get_results(result_data, f): data = {} @@ -214,24 +257,83 @@ data[key] = data.get(key,0) + result[1] return data - def _totals_stats(self, start_date, end_date, period_name): + def _get_json(self, params, prev_fail=False): + if prev_fail: + import os + 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: + self.token, svc = init_service(ga_token_filepath, None) + except TypeError: + print ('Have you correctly run the getauthtoken task and ' + 'specified the correct token file in the CKAN config under ' + '"googleanalytics.token.filepath"?') + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + r = requests.get("https://www.googleapis.com/analytics/v3/data/ga", params=params, headers=headers) + if r.status_code != 200: + log.info("STATUS: %s" % (r.status_code,)) + log.info("CONTENT: %s" % (r.content,)) + raise Exception("Request with params: %s failed" % params) + + return json.loads(r.content) + except Exception, e: + if not prev_fail: + print e + results = self._get_json(self, params, prev_fail=True) + else: + log.exception(e) + + return dict(url=[]) + + def _totals_stats(self, start_date, end_date, period_name, period_complete_day): """ Fetches distinct totals, total pageviews etc """ - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - start_date=start_date, - metrics='ga:pageviews', - sort='-ga:pageviews', - max_results=10000, - end_date=end_date).execute() - result_data = results.get('rows') - ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}) - - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - start_date=start_date, - metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits', - max_results=10000, - end_date=end_date).execute() + try: + args = {} + args["max-results"] = 100000 + args["start-date"] = start_date + args["end-date"] = end_date + args["ids"] = "ga:" + self.profile_id + + args["metrics"] = "ga:pageviews" + args["sort"] = "-ga:pageviews" + args["alt"] = "json" + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + + result_data = results.get('rows') + ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}, + period_complete_day) + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = {} + args["max-results"] = 100000 + args["start-date"] = start_date + args["end-date"] = end_date + args["ids"] = "ga:" + self.profile_id + + args["metrics"] = "ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits" + args["alt"] = "json" + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + result_data = results.get('rows') data = { 'Pages per visit': result_data[0][0], @@ -239,109 +341,262 @@ 'New visits': result_data[0][2], 'Total visits': result_data[0][3], } - ga_model.update_sitewide_stats(period_name, "Totals", data) + ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day) # Bounces from / or another configurable page. path = '/%s%s' % (config.get('googleanalytics.account'), config.get('ga-report.bounce_url', '/')) - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - filters='ga:pagePath==%s' % (path,), - start_date=start_date, - metrics='ga:bounces,ga:pageviews', - dimensions='ga:pagePath', - max_results=10000, - end_date=end_date).execute() + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = {} + args["max-results"] = 100000 + args["start-date"] = start_date + args["end-date"] = end_date + args["ids"] = "ga:" + self.profile_id + + args["filters"] = 'ga:pagePath==%s' % (path,) + args["dimensions"] = 'ga:pagePath' + args["metrics"] = "ga:visitBounceRate" + args["alt"] = "json" + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + result_data = results.get('rows') if not result_data or len(result_data) != 1: log.error('Could not pinpoint the bounces for path: %s. Got results: %r', path, result_data) return results = result_data[0] - bounces, total = [float(x) for x in result_data[0][1:]] - pct = 100 * bounces/total - log.info('%d bounces from %d total == %s', bounces, total, pct) - ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': pct}) - - - def _locale_stats(self, start_date, end_date, period_name): + bounces = float(results[1]) + # visitBounceRate is already a % + log.info('Google reports visitBounceRate as %s', bounces) + ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': float(bounces)}, + period_complete_day) + + + def _locale_stats(self, start_date, end_date, period_name, period_complete_day): """ Fetches stats about language and country """ - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - start_date=start_date, - metrics='ga:pageviews', - sort='-ga:pageviews', - dimensions="ga:language,ga:country", - max_results=10000, - end_date=end_date).execute() + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = {} + args["max-results"] = 100000 + args["start-date"] = start_date + args["end-date"] = end_date + args["ids"] = "ga:" + self.profile_id + + args["dimensions"] = "ga:language,ga:country" + args["metrics"] = "ga:pageviews" + args["sort"] = "-ga:pageviews" + args["alt"] = "json" + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + result_data = results.get('rows') 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) + ga_model.update_sitewide_stats(period_name, "Languages", data, period_complete_day) data = {} for result in result_data: data[result[1]] = data.get(result[1], 0) + int(result[2]) self._filter_out_long_tail(data, MIN_VIEWS) - ga_model.update_sitewide_stats(period_name, "Country", data) - - - def _social_stats(self, start_date, end_date, period_name): + ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day) + + + def _download_stats(self, start_date, end_date, period_name, period_complete_day): + """ Fetches stats about data downloads """ + import ckan.model as model + + data = {} + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = {} + args["max-results"] = 100000 + args["start-date"] = start_date + args["end-date"] = end_date + args["ids"] = "ga:" + self.profile_id + + args["filters"] = 'ga:eventAction==download' + args["dimensions"] = "ga:eventLabel" + args["metrics"] = "ga:totalEvents" + args["alt"] = "json" + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + + result_data = results.get('rows') + if not result_data: + # We may not have data for this time period, so we need to bail + # early. + log.info("There is no download data for this time period") + return + + def process_result_data(result_data, cached=False): + progress_total = len(result_data) + progress_count = 0 + resources_not_matched = [] + for result in result_data: + progress_count += 1 + if progress_count % 100 == 0: + log.debug('.. %d/%d done so far', progress_count, progress_total) + + url = result[0].strip() + + # Get package id associated with the resource that has this URL. + q = model.Session.query(model.Resource) + if cached: + r = q.filter(model.Resource.cache_url.like("%s%%" % url)).first() + else: + r = q.filter(model.Resource.url.like("%s%%" % url)).first() + + package_name = r.resource_group.package.name if r else "" + if package_name: + data[package_name] = data.get(package_name, 0) + int(result[1]) + else: + resources_not_matched.append(url) + continue + if resources_not_matched: + log.debug('Could not match %i or %i resource URLs to datasets. e.g. %r', + len(resources_not_matched), progress_total, resources_not_matched[:3]) + + log.info('Associating downloads of resource URLs with their respective datasets') + process_result_data(results.get('rows')) + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = dict( ids='ga:' + self.profile_id, + filters='ga:eventAction==download-cache', + metrics='ga:totalEvents', + sort='-ga:totalEvents', + dimensions="ga:eventLabel", + max_results=10000) + args['start-date'] = start_date + args['end-date'] = end_date + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + + log.info('Associating downloads of cache resource URLs with their respective datasets') + process_result_data(results.get('rows'), cached=False) + + self._filter_out_long_tail(data, MIN_DOWNLOADS) + ga_model.update_sitewide_stats(period_name, "Downloads", data, period_complete_day) + + def _social_stats(self, start_date, end_date, period_name, period_complete_day): """ Finds out which social sites people are referred from """ - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - start_date=start_date, - metrics='ga:pageviews', - sort='-ga:pageviews', - dimensions="ga:socialNetwork,ga:referralPath", - max_results=10000, - end_date=end_date).execute() + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = dict( ids='ga:' + self.profile_id, + metrics='ga:pageviews', + sort='-ga:pageviews', + dimensions="ga:socialNetwork,ga:referralPath", + max_results=10000) + args['start-date'] = start_date + args['end-date'] = end_date + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + result_data = results.get('rows') data = {} for result in result_data: if not result[0] == '(not set)': data[result[0]] = data.get(result[0], 0) + int(result[2]) self._filter_out_long_tail(data, 3) - ga_model.update_sitewide_stats(period_name, "Social sources", data) - - - def _os_stats(self, start_date, end_date, period_name): + ga_model.update_sitewide_stats(period_name, "Social sources", data, period_complete_day) + + + def _os_stats(self, start_date, end_date, period_name, period_complete_day): """ Operating system stats """ - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - start_date=start_date, - metrics='ga:pageviews', - sort='-ga:pageviews', - dimensions="ga:operatingSystem,ga:operatingSystemVersion", - max_results=10000, - end_date=end_date).execute() + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = dict( ids='ga:' + self.profile_id, + metrics='ga:pageviews', + sort='-ga:pageviews', + dimensions="ga:operatingSystem,ga:operatingSystemVersion", + max_results=10000) + args['start-date'] = start_date + args['end-date'] = end_date + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + result_data = results.get('rows') 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) + ga_model.update_sitewide_stats(period_name, "Operating Systems", data, period_complete_day) data = {} for result in result_data: if int(result[2]) >= MIN_VIEWS: key = "%s %s" % (result[0],result[1]) data[key] = result[2] - ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) - - - def _browser_stats(self, start_date, end_date, period_name): + ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data, period_complete_day) + + + def _browser_stats(self, start_date, end_date, period_name, period_complete_day): """ Information about browsers and browser versions """ - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - start_date=start_date, - metrics='ga:pageviews', - sort='-ga:pageviews', - dimensions="ga:browser,ga:browserVersion", - max_results=10000, - end_date=end_date).execute() + + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = dict( ids='ga:' + self.profile_id, + metrics='ga:pageviews', + sort='-ga:pageviews', + dimensions="ga:browser,ga:browserVersion", + max_results=10000) + + args['start-date'] = start_date + args['end-date'] = end_date + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + + result_data = results.get('rows') # e.g. [u'Firefox', u'19.0', u'20'] @@ -349,14 +604,14 @@ for result in result_data: data[result[0]] = data.get(result[0], 0) + int(result[2]) self._filter_out_long_tail(data, MIN_VIEWS) - ga_model.update_sitewide_stats(period_name, "Browsers", data) + ga_model.update_sitewide_stats(period_name, "Browsers", data, period_complete_day) data = {} for result in result_data: key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1])) data[key] = data.get(key, 0) + int(result[2]) self._filter_out_long_tail(data, MIN_VIEWS) - ga_model.update_sitewide_stats(period_name, "Browser versions", data) + ga_model.update_sitewide_stats(period_name, "Browser versions", data, period_complete_day) @classmethod def _filter_browser_version(cls, browser, version_str): @@ -380,30 +635,40 @@ ver = ver[0] + ver[1] + 'X' * num_hidden_digits return ver - def _mobile_stats(self, start_date, end_date, period_name): + def _mobile_stats(self, start_date, end_date, period_name, period_complete_day): """ Info about mobile devices """ - results = self.service.data().ga().get( - ids='ga:' + self.profile_id, - start_date=start_date, - metrics='ga:pageviews', - sort='-ga:pageviews', - dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", - max_results=10000, - end_date=end_date).execute() + try: + # Because of issues of invalid responses, we are going to make these requests + # ourselves. + headers = {'authorization': 'Bearer ' + self.token} + + args = dict( ids='ga:' + self.profile_id, + metrics='ga:pageviews', + sort='-ga:pageviews', + dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", + max_results=10000) + args['start-date'] = start_date + args['end-date'] = end_date + + results = self._get_json(args) + except Exception, e: + log.exception(e) + results = dict(url=[]) + result_data = results.get('rows') 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) + ga_model.update_sitewide_stats(period_name, "Mobile brands", data, period_complete_day) data = {} for result in result_data: data[result[1]] = data.get(result[1], 0) + int(result[2]) self._filter_out_long_tail(data, MIN_VIEWS) - ga_model.update_sitewide_stats(period_name, "Mobile devices", data) + ga_model.update_sitewide_stats(period_name, "Mobile devices", data, period_complete_day) @classmethod def _filter_out_long_tail(cls, data, threshold=10): --- a/ckanext/ga_report/ga_auth.py +++ b/ckanext/ga_report/ga_auth.py @@ -36,7 +36,7 @@ credentials = _prepare_credentials(token_file, credentials_file) http = credentials.authorize(http) # authorize the http object - return build('analytics', 'v3', http=http) + return credentials.access_token, build('analytics', 'v3', http=http) def get_profile_id(service): --- a/ckanext/ga_report/ga_model.py +++ b/ckanext/ga_report/ga_model.py @@ -9,6 +9,8 @@ import ckan.model as model from ckan.lib.base import * + +log = __import__('logging').getLogger(__name__) def make_uuid(): return unicode(uuid.uuid4()) @@ -45,6 +47,7 @@ Column('id', types.UnicodeText, primary_key=True, default=make_uuid), Column('period_name', types.UnicodeText), + Column('period_complete_day', types.UnicodeText), Column('stat_name', types.UnicodeText), Column('key', types.UnicodeText), Column('value', types.UnicodeText), ) @@ -132,7 +135,7 @@ return None, publisher_match.groups()[0] return None, None -def update_sitewide_stats(period_name, stat_name, data): +def update_sitewide_stats(period_name, stat_name, data, period_complete_day): for k,v in data.iteritems(): item = model.Session.query(GA_Stat).\ filter(GA_Stat.period_name==period_name).\ @@ -142,11 +145,13 @@ item.period_name = period_name item.key = k item.value = v + item.period_complete_day = period_complete_day model.Session.add(item) else: # create the row values = {'id': make_uuid(), 'period_name': period_name, + 'period_complete_day': period_complete_day, 'key': k, 'value': v, 'stat_name': stat_name @@ -156,10 +161,64 @@ 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() + q = model.Session.query(GA_Url).\ + filter(GA_Url.period_name==period_name) + log.debug("Deleting %d '%s' records" % (q.count(), period_name)) + q.delete() + + q = model.Session.query(GA_Url).\ + filter(GA_Url.period_name == 'All') + log.debug("Deleting %d 'All' records..." % q.count()) + q.delete() + + model.Session.flush() + model.Session.commit() + model.repo.commit_and_remove() + log.debug('...done') + +def post_update_url_stats(): + + """ Check the distinct url field in ga_url and make sure + it has an All record. If not then create one. + + After running this then every URL should have an All + record regardless of whether the URL has an entry for + the month being currently processed. + """ + log.debug('Post-processing "All" records...') + query = """select url, pageviews::int, visits::int + from ga_url + where url not in (select url from ga_url where period_name ='All')""" + connection = model.Session.connection() + res = connection.execute(query) + + views, visits = {}, {} + # url, views, visits + for row in res: + views[row[0]] = views.get(row[0], 0) + row[1] + visits[row[0]] = visits.get(row[0], 0) + row[2] + + progress_total = len(views.keys()) + progress_count = 0 + for key in views.keys(): + progress_count += 1 + if progress_count % 100 == 0: + log.debug('.. %d/%d done so far', progress_count, progress_total) + + package, publisher = _get_package_and_publisher(key) + + values = {'id': make_uuid(), + 'period_name': "All", + 'period_complete_day': 0, + 'url': key, + 'pageviews': views[key], + 'visits': visits[key], + 'department_id': publisher, + 'package_id': package + } + model.Session.add(GA_Url(**values)) + model.Session.commit() + log.debug('..done') def update_url_stats(period_name, period_complete_day, url_data): @@ -168,9 +227,14 @@ stores them in GA_Url under the period and recalculates the totals for the 'All' period. ''' + progress_total = len(url_data) + progress_count = 0 for url, views, visits in url_data: + progress_count += 1 + if progress_count % 100 == 0: + log.debug('.. %d/%d done so far', progress_count, progress_total) + package, publisher = _get_package_and_publisher(url) - item = model.Session.query(GA_Url).\ filter(GA_Url.period_name==period_name).\ @@ -211,8 +275,8 @@ 'period_name': 'All', 'period_complete_day': 0, 'url': url, - 'pageviews': sum([int(e.pageviews) for e in entries]) + old_pageviews, - 'visits': sum([int(e.visits) for e in entries]) + old_visits, + 'pageviews': sum([int(e.pageviews) for e in entries]) + int(old_pageviews), + 'visits': sum([int(e.visits or 0) for e in entries]) + int(old_visits), 'department_id': publisher, 'package_id': package } @@ -317,11 +381,8 @@ 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() + '''Finds child publishers for the given publisher (object). (Not recursive i.e. returns one level)''' + return publisher.get_children_groups(type='organization') def go_down_tree(publisher): '''Provided with a publisher object, it walks down the hierarchy and yields each publisher, @@ -338,26 +399,39 @@ ''' for object_type in (GA_Url, GA_Stat, GA_Publisher, GA_ReferralStat): q = model.Session.query(object_type) - if period_name != 'all': + if period_name != 'All': q = q.filter_by(period_name=period_name) q.delete() - model.Session.commit() + model.repo.commit_and_remove() def get_score_for_dataset(dataset_name): + ''' + Returns a "current popularity" score for a dataset, + based on how many views it has had recently. + ''' import datetime now = datetime.datetime.now() - period_names = ['%s-%02d' % (now.year, now.month), - '%s-%02d' % (now.year, now.month-1)] - - entry = model.Session.query(GA_Url)\ - .filter(GA_Url.period_name==period_names[0])\ - .filter(GA_Url.package_id==dataset_name).first() - score = int(entry.pageviews) if entry else 0 - - entry = model.Session.query(GA_Url)\ - .filter(GA_Url.period_name==period_names[1])\ - .filter(GA_Url.package_id==dataset_name).first() - val = int(entry.pageviews) if entry else 0 - score += val/2 if val else 0 - - return 0 + last_month = now - datetime.timedelta(days=30) + period_names = ['%s-%02d' % (last_month.year, last_month.month), + '%s-%02d' % (now.year, now.month), + ] + + score = 0 + for period_name in period_names: + score /= 2 # previous periods are discounted by 50% + entry = model.Session.query(GA_Url)\ + .filter(GA_Url.period_name==period_name)\ + .filter(GA_Url.package_id==dataset_name).first() + # score + if entry: + views = float(entry.pageviews) + if entry.period_complete_day: + views_per_day = views / entry.period_complete_day + else: + views_per_day = views / 15 # guess + score += views_per_day + + score = int(score * 100) + log.debug('Popularity %s: %s', score, dataset_name) + return score + --- a/ckanext/ga_report/helpers.py +++ b/ckanext/ga_report/helpers.py @@ -50,9 +50,12 @@ dataset = model.Package.get(ga_url.url[len('/dataset/'):]) if dataset and not dataset.state == 'active': dataset = None - count += 1 - if count > 10: - break + # When testing, it is possible that top datasets are not available + # so only go round this loop a few times before falling back on + # a random dataset. + count += 1 + if count > 10: + break if not dataset: # fallback dataset = model.Session.query(model.Package)\ @@ -77,7 +80,7 @@ return base.render_snippet('ga_report/ga_popular_single.html', **context) -def most_popular_datasets(publisher, count=20): +def most_popular_datasets(publisher, count=20, preview_image=None): if not publisher: _log.error("No valid publisher passed to 'most_popular_datasets'") @@ -89,7 +92,8 @@ 'dataset_count': len(results), 'datasets': results, - 'publisher': publisher + 'publisher': publisher, + 'preview_image': preview_image } return base.render_snippet('ga_report/publisher/popular.html', **ctx) @@ -103,8 +107,18 @@ for entry in entries: if len(datasets) < count: p = model.Package.get(entry.url[len('/dataset/'):]) + + if not p: + _log.warning("Could not find Package for {url}".format(url=entry.url)) + continue + + if not p.state == 'active': + _log.warning("Package {0} is not active, it is {1}".format(p.name, p.state)) + continue + if not p in datasets: datasets[p] = {'views':0, 'visits': 0} + datasets[p]['views'] = datasets[p]['views'] + int(entry.pageviews) datasets[p]['visits'] = datasets[p]['visits'] + int(entry.visits) @@ -114,3 +128,17 @@ return sorted(results, key=operator.itemgetter(1), reverse=True) +def month_option_title(month_iso, months, day): + month_isos = [ iso_code for (iso_code,name) in months ] + try: + index = month_isos.index(month_iso) + except ValueError: + _log.error('Month "%s" not found in list of months.' % month_iso) + return month_iso + month_name = months[index][1] + if index==0: + return month_name + (' (up to %s)'%day) + return month_name + + + --- a/ckanext/ga_report/plugin.py +++ b/ckanext/ga_report/plugin.py @@ -5,7 +5,8 @@ from ckanext.ga_report.helpers import (most_popular_datasets, popular_datasets, - single_popular_dataset) + single_popular_dataset, + month_option_title) log = logging.getLogger('ckanext.ga-report') @@ -27,7 +28,8 @@ 'ga_report_installed': lambda: True, 'popular_datasets': popular_datasets, 'most_popular_datasets': most_popular_datasets, - 'single_popular_dataset': single_popular_dataset + 'single_popular_dataset': single_popular_dataset, + 'month_option_title': month_option_title } def after_map(self, map): @@ -41,6 +43,16 @@ '/data/site-usage/data_{month}.csv', controller='ckanext.ga_report.controller:GaReport', action='csv' + ) + map.connect( + '/data/site-usage/downloads', + controller='ckanext.ga_report.controller:GaReport', + action='downloads' + ) + map.connect( + '/data/site-usage/downloads_{month}.csv', + controller='ckanext.ga_report.controller:GaReport', + action='csv_downloads' ) # GaDatasetReport --- /dev/null +++ b/ckanext/ga_report/public/css/ga_report.css @@ -1,1 +1,69 @@ +.table-condensed td.sparkline-cell { + padding: 1px 0 0 0; + width: 108px; + text-align: center; + /* Hack to hide the momentary flash of text + * before sparklines are fully rendered */ + font-size: 1px; + color: transparent; + overflow: hidden; +} +.rickshaw_chart_container { + position: relative; + height: 350px; + margin: 0 auto 20px auto; +} +.rickshaw_chart { + position: absolute; + left: 40px; + width: 500px; + top: 0; + bottom: 0; +} +.rickshaw_legend { + background: transparent; + width: 100%; + padding-top: 4px; +} +.rickshaw_y_axis { + position: absolute; + top: 0; + bottom: 0; + width: 40px; +} +.rickshaw_legend .label { + background: transparent !important; + color: #000000 !important; + font-weight: normal !important; +} +.rickshaw_legend .instructions { + color: #000; + margin-bottom: 6px; +} +.rickshaw_legend .line .action { + display: none; +} +.rickshaw_legend .line .swatch { + display: block; + float: left; +} +.rickshaw_legend .line .label { + display: block; + white-space: normal; + float: left; + width: 200px; +} +.rickshaw_legend .line .label:hover { + text-decoration: underline; +} + +.ga-reports-table .td-numeric { + text-align: center; +} +.ga-reports-heading { + padding-right: 10px; + margin-top: 4px; + float: left; +} + --- /dev/null +++ b/ckanext/ga_report/public/scripts/ckanext_ga_reports.js @@ -1,1 +1,132 @@ +var CKAN = CKAN || {}; +CKAN.GA_Reports = {}; +CKAN.GA_Reports.render_rickshaw = function( css_name, data, mode, colorscheme ) { + var graphLegends = $('#graph-legend-container'); + + function renderError(alertClass,alertText,legendText) { + $("#chart_"+css_name) + .html( '
'+alertText+'
') + .closest('.rickshaw_chart_container').css('height',50); + var myLegend = $('
') + .html(legendText) + .appendTo(graphLegends); + } + + if (!Mo