Horribly hacky links to publishers and datasets, nobody tell Tom
--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -211,13 +211,10 @@
graph_dict = {}
for stat in graph_query:
graph_dict[ stat.key ] = graph_dict.get(stat.key,{
- 'name':stat.key,
- 'data': []
+ 'name':stat.key,
+ 'raw': {}
})
- graph_dict[ stat.key ]['data'].append({
- 'x':_get_unix_epoch(stat.period_name),
- 'y':float(stat.value)
- })
+ 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))
@@ -252,7 +249,7 @@
writer = csv.writer(response)
writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
- top_publishers, top_publishers_graph = _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'),
@@ -274,7 +271,7 @@
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,))
@@ -303,15 +300,18 @@
if c.month:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
- c.top_publishers, graph_data = _get_top_publishers()
+ c.top_publishers = _get_top_publishers()
+ graph_data = _get_top_publishers_graph()
c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data) )
- return render('ga_report/publisher/index.html')
-
- def _get_packages(self, publisher=None, count=-1):
+ 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 = c.month or 'All'
+ month = month or 'All'
if month != 'All':
have_download_data = month >= DOWNLOADS_AVAILABLE_FROM
@@ -388,28 +388,25 @@
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_package_names = [ x[0].name for x in c.top_packages ]
+ 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))
- graph_dict = {}
+ all_series = {}
for entry,package in graph_query:
if not package: continue
if entry.period_name=='All': continue
- graph_dict[package.name] = graph_dict.get(package.name,{
+ all_series[package.name] = all_series.get(package.name,{
'name':package.title,
- 'data':[]
+ 'raw': {}
})
- graph_dict[package.name]['data'].append({
- 'x':_get_unix_epoch(entry.period_name),
- 'y':int(entry.pageviews),
- })
- graph = [ graph_dict[x] for x in top_package_names ]
-
+ 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')
@@ -417,53 +414,45 @@
def _to_rickshaw(data, percentageMode=False):
if data==[]:
return data
- # Create a consistent x-axis between all series
- num_points = [ len(series['data']) for series in data ]
- ideal_index = num_points.index( max(num_points) )
- x_axis = []
+ # 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']:
- x_axis.append(point['x'])
- x_axis = sorted( list( set(x_axis) ) )
- # Zero pad any missing values
- for series in data:
- xs = [ point['x'] for point in series['data'] ]
- for x in set(x_axis).difference(set(xs)):
- series['data'].append( {'x':x, 'y':0} )
- if percentageMode:
- def get_totals(series_list):
- totals = {}
- for series in series_list:
- for point in series['data']:
- totals[point['x']] = totals.get(point['x'],0) + point['y']
- return totals
- # Transform data into percentage stacks
- totals = get_totals(data)
- # Roll insignificant series into a catch-all
- THRESHOLD = 0.01
- raw_data = data
- data = []
- for series in raw_data:
- for point in series['data']:
- fraction = float(point['y']) / totals[point['x']]
- if not (series in data) and fraction>THRESHOLD:
- data.append(series)
- # Overwrite data with a set of interesting series
- others = [ x for x in raw_data if not (x in data) ]
- if len(others):
- data.append({
- 'name':'Other',
- 'data': [ {'x':x,'y':y} for x,y in get_totals(others).items() ]
- })
- # Turn each point into a percentage
- for series in data:
- for point in series['data']:
- point['y'] = (point['y']*100) / totals[point['x']]
- # Sort the points
- for series in data:
- series['data'] = sorted( series['data'], key=lambda x:x['x'] )
- # Strip the latest month's incomplete analytics
- series['data'] = series['data'][:-1]
+ 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
@@ -488,39 +477,51 @@
top_publishers = []
res = connection.execute(q, month)
- department_ids = []
for row in res:
g = model.Group.get(row[0])
if g:
- department_ids.append(row[0])
top_publishers.append((g, row[1], row[2]))
-
- graph = []
- if limit is not None:
- # Query for a history graph of these publishers
- 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.period_name!='All' )\
- .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,
- 'data' : []
- })
- graph_dict[dept_id]['data'].append({
- 'x': _get_unix_epoch(period_name),
- 'y': views
- })
- # Sort dict into ordered list
- for id in department_ids:
- graph.append( graph_dict[id] )
- return top_publishers, graph
+ 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():
@@ -530,7 +531,7 @@
'''
publishers = []
for pub in model.Session.query(model.Group).\
- filter(model.Group.type=='publisher').\
+ filter(model.Group.type=='organization').\
filter(model.Group.state=='active').\
order_by(model.Group.name):
publishers.append((pub.name, pub.title))
--- 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
@@ -18,13 +21,14 @@
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
@@ -149,17 +153,27 @@
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:
@@ -178,15 +192,32 @@
# 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'])
@@ -226,25 +257,83 @@
data[key] = data.get(key,0) + result[1]
return data
+ 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()
+ 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)
- 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:
+ # 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],
@@ -257,14 +346,28 @@
# 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:visitBounceRate',
- 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',
@@ -280,14 +383,28 @@
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:
@@ -308,15 +425,27 @@
data = {}
- results = self.service.data().ga().get(
- ids='ga:' + self.profile_id,
- start_date=start_date,
- filters='ga:eventAction==download',
- metrics='ga:totalEvents',
- sort='-ga:totalEvents',
- dimensions="ga:eventLabel",
- 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: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
@@ -355,15 +484,25 @@
log.info('Associating downloads of resource URLs with their respective datasets')
process_result_data(results.get('rows'))
- results = self.service.data().ga().get(
- ids='ga:' + self.profile_id,
- start_date=start_date,
- filters='ga:eventAction==download-cache',
- metrics='ga:totalEvents',
- sort='-ga:totalEvents',
- dimensions="ga:eventLabel",
- 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='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)
@@ -372,14 +511,25 @@
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:
@@ -391,14 +541,24 @@
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:
@@ -416,14 +576,27 @@
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']
@@ -465,14 +638,24 @@
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 = {}