ckanext-ga-report | ckanext-ga-report |
================= | ================= |
**Status:** Development | **Status:** Development |
**CKAN Version:** 1.7.1+ | **CKAN Version:** 1.7.1+ |
Overview | Overview |
-------- | -------- |
For creating detailed reports of CKAN analytics, including totals per group. | For creating detailed reports of CKAN analytics, including totals per group. |
Whereas ckanext-googleanalytics focusses on providing page view stats a recent period and for all time (aimed at end users), ckanext-ga-report is more interested in building regular periodic reports (more for site managers to monitor). | Whereas ckanext-googleanalytics focusses on providing page view stats a recent period and for all time (aimed at end users), ckanext-ga-report is more interested in building regular periodic reports (more for site managers to monitor). |
Contents of this extension: | Contents of this extension: |
* Use the CLI tool to download Google Analytics data for each time period into this extension's database tables | * Use the CLI tool to download Google Analytics data for each time period into this extension's database tables |
* Users can view the data as web page reports | * Users can view the data as web page reports |
Installation | Installation |
------------ | ------------ |
1. Activate you CKAN python environment and install this extension's software:: | 1. Activate you CKAN python environment and install this extension's software:: |
$ pyenv/bin/activate | $ pyenv/bin/activate |
$ pip install -e git+https://github.com/datagovuk/ckanext-ga-report.git#egg=ckanext-ga-report | $ pip install -e git+https://github.com/datagovuk/ckanext-ga-report.git#egg=ckanext-ga-report |
2. Ensure you development.ini (or similar) contains the info about your Google Analytics account and configuration:: | 2. Ensure you development.ini (or similar) contains the info about your Google Analytics account and configuration:: |
googleanalytics.id = UA-1010101-1 | googleanalytics.id = UA-1010101-1 |
googleanalytics.account = Account name (i.e. data.gov.uk, see top level item at https://www.google.com/analytics) | googleanalytics.account = Account name (i.e. data.gov.uk, see top level item at https://www.google.com/analytics) |
ga-report.period = monthly | ga-report.period = monthly |
ga-report.bounce_url = /data | |
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 /. | |
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. | Note that your credentials will be readable by system administrators on your server. Rather than use sensitive account details, it is suggested you give access to the GA account to a new Google account that you create just for this purpose. |
3. Set up this extension's database tables using a paster command. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file):: | 3. Set up this extension's database tables using a paster command. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file):: |
$ paster initdb --config=../ckan/development.ini | $ paster initdb --config=../ckan/development.ini |
4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``:: | 4. Enable the extension in your CKAN config file by adding it to ``ckan.plugins``:: |
ckan.plugins = ga-report | ckan.plugins = ga-report |
Authorization | Authorization |
-------------- | -------------- |
Before you can access the data, you need to set up the OAUTH details which you can do by following the `instructions <https://developers.google.com/analytics/resources/tutorials/hello-analytics-api>`_ the outcome of which will be a file called credentials.json which should look like credentials.json.template with the relevant fields completed. These steps are below for convenience: | Before you can access the data, you need to set up the OAUTH details which you can do by following the `instructions <https://developers.google.com/analytics/resources/tutorials/hello-analytics-api>`_ the outcome of which will be a file called credentials.json which should look like credentials.json.template with the relevant fields completed. These steps are below for convenience: |
1. Visit the `Google APIs Console <https://code.google.com/apis/console>`_ | 1. Visit the `Google APIs Console <https://code.google.com/apis/console>`_ |
2. Sign-in and create a project or use an existing project. | 2. Sign-in and create a project or use an existing project. |
3. In the `Services pane <https://code.google.com/apis/console#:services>`_ , activate Analytics API for your project. If prompted, read and accept the terms of service. | 3. In the `Services pane <https://code.google.com/apis/console#:services>`_ , activate Analytics API for your project. If prompted, read and accept the terms of service. |
4. Go to the `API Access pane <https://code.google.com/apis/console/#:access>`_ | 4. Go to the `API Access pane <https://code.google.com/apis/console/#:access>`_ |
5. Click Create an OAuth 2.0 client ID.... | 5. Click Create an OAuth 2.0 client ID.... |
6. Fill out the Branding Information fields and click Next. | 6. Fill out the Branding Information fields and click Next. |
7. In Client ID Settings, set Application type to Installed application. | 7. In Client ID Settings, set Application type to Installed application. |
8. Click Create client ID | 8. Click Create client ID |
9. The details you need below are Client ID, Client secret, and Redirect URIs | 9. The details you need below are Client ID, Client secret, and Redirect URIs |
Once you have set up your credentials.json file you can generate an oauth token file by using the | Once you have set up your credentials.json file you can generate an oauth token file by using the |
following command, which will store your oauth token in a file called token.dat once you have finished | following command, which will store your oauth token in a file called token.dat once you have finished |
giving permission in the browser:: | giving permission in the browser:: |
$ paster getauthtoken --config=../ckan/development.ini | $ paster getauthtoken --config=../ckan/development.ini |
Tutorial | 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 db. (Ensure your CKAN pyenv is still activated, run the command from ``src/ckanext-ga-report``, alter the ``--config`` option to point to your site config file) and specifying the name of your auth file (token.dat by default) from the previous step:: |
$ paster loadanalytics token.dat latest --config=../ckan/development.ini | $ paster loadanalytics token.dat latest --config=../ckan/development.ini |
The value after the token file is how much data you want to retrieve, this can be | The value after the token file is how much data you want to retrieve, this can be |
* **all** - data for all time (since 2010) | * **all** - data for all time (since 2010) |
* **latest** - (default) just the 'latest' data | * **latest** - (default) just the 'latest' data |
* **YYYY-MM-DD** - just data for all time periods going back to (and including) this date | * **YYYY-MM-DD** - just data for all time periods going back to (and including) this date |
Software Licence | Software Licence |
================ | ================ |
This software is developed by Cabinet Office. It is Crown Copyright and opened up under the Open Government Licence (OGL) (which is compatible with Creative Commons Attibution License). | This software is developed by Cabinet Office. It is Crown Copyright and opened up under the Open Government Licence (OGL) (which is compatible with Creative Commons Attibution License). |
OGL terms: http://www.nationalarchives.gov.uk/doc/open-government-licence/ | OGL terms: http://www.nationalarchives.gov.uk/doc/open-government-licence/ |
import re | import re |
import csv | import csv |
import sys | import sys |
import logging | import logging |
import operator | import operator |
import collections | import collections |
from ckan.lib.base import (BaseController, c, g, render, request, response, abort) | from ckan.lib.base import (BaseController, c, g, render, request, response, abort) |
import sqlalchemy | import sqlalchemy |
from sqlalchemy import func, cast, Integer | from sqlalchemy import func, cast, Integer |
import ckan.model as model | import ckan.model as model |
from ga_model import GA_Url, GA_Stat, GA_ReferralStat | from ga_model import GA_Url, GA_Stat, GA_ReferralStat |
log = logging.getLogger('ckanext.ga-report') | log = logging.getLogger('ckanext.ga-report') |
def _get_month_name(strdate): | def _get_month_name(strdate): |
import calendar | import calendar |
from time import strptime | from time import strptime |
d = strptime(strdate, '%Y-%m') | d = strptime(strdate, '%Y-%m') |
return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year) | return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year) |
def _month_details(cls): | def _month_details(cls): |
months = [] | months = [] |
vals = model.Session.query(cls.period_name).distinct().all() | vals = model.Session.query(cls.period_name).distinct().all() |
for m in vals: | for m in vals: |
months.append( (m[0], _get_month_name(m[0]))) | months.append( (m[0], _get_month_name(m[0]))) |
return sorted(months, key=operator.itemgetter(0), reverse=True) | return sorted(months, key=operator.itemgetter(0), reverse=True) |
class GaReport(BaseController): | class GaReport(BaseController): |
def csv(self, month): | def csv(self, month): |
import csv | import csv |
q = model.Session.query(GA_Stat) | q = model.Session.query(GA_Stat) |
if month != 'all': | if month != 'all': |
q = q.filter(GA_Stat.period_name==month) | q = q.filter(GA_Stat.period_name==month) |
entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all() | entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all() |
response.headers['Content-Type'] = "text/csv; charset=utf-8" | response.headers['Content-Type'] = "text/csv; charset=utf-8" |
response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,)) | response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,)) |
writer = csv.writer(response) | writer = csv.writer(response) |
writer.writerow(["Period", "Statistic", "Key", "Value"]) | writer.writerow(["Period", "Statistic", "Key", "Value"]) |
for entry in entries: | for entry in entries: |
writer.writerow([entry.period_name.encode('utf-8'), | writer.writerow([entry.period_name.encode('utf-8'), |
entry.stat_name.encode('utf-8'), | entry.stat_name.encode('utf-8'), |
entry.key.encode('utf-8'), | entry.key.encode('utf-8'), |
entry.value.encode('utf-8')]) | entry.value.encode('utf-8')]) |
def index(self): | def index(self): |
# Get the month details by fetching distinct values and determining the | # Get the month details by fetching distinct values and determining the |
# month names from the values. | # month names from the values. |
c.months = _month_details(GA_Stat) | c.months = _month_details(GA_Stat) |
# Work out which month to show, based on query params of the first item | # Work out which month to show, based on query params of the first item |
c.month_desc = 'all months' | c.month_desc = 'all months' |
c.month = request.params.get('month', '') | c.month = request.params.get('month', '') |
if c.month: | if c.month: |
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) |
q = model.Session.query(GA_Stat).\ | q = model.Session.query(GA_Stat).\ |
filter(GA_Stat.stat_name=='Totals') | filter(GA_Stat.stat_name=='Totals') |
if c.month: | if c.month: |
q = q.filter(GA_Stat.period_name==c.month) | q = q.filter(GA_Stat.period_name==c.month) |
entries = q.order_by('ga_stat.key').all() | entries = q.order_by('ga_stat.key').all() |
def clean_key(key, val): | def clean_key(key, val): |
if key in ['Average time on site', 'Pages per visit', 'New visits']: | if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounces']: |
val = "%.2f" % round(float(val), 2) | val = "%.2f" % round(float(val), 2) |
if key == 'Average time on site': | if key == 'Average time on site': |
mins, secs = divmod(float(val), 60) | mins, secs = divmod(float(val), 60) |
hours, mins = divmod(mins, 60) | hours, mins = divmod(mins, 60) |
val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val) | val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val) |
if key == 'New visits': | if key in ['New visits','Bounces']: |
val = "%s%%" % val | val = "%s%%" % val |
if key in ['Bounces', 'Total page views', 'Total visits']: | if key in ['Total page views', 'Total visits']: |
val = int(val) | val = int(val) |
return key, val | return key, val |
c.global_totals = [] | c.global_totals = [] |
if c.month: | if c.month: |
for e in entries: | for e in entries: |
key, val = clean_key(e.key, e.value) | key, val = clean_key(e.key, e.value) |
c.global_totals.append((key, val)) | c.global_totals.append((key, val)) |
else: | else: |
d = collections.defaultdict(list) | d = collections.defaultdict(list) |
for e in entries: | for e in entries: |
d[e.key].append(float(e.value)) | d[e.key].append(float(e.value)) |
for k, v in d.iteritems(): | for k, v in d.iteritems(): |
if k in ['Bounces', 'Total page views', 'Total visits']: | if k in ['Total page views', 'Total visits']: |
v = sum(v) | v = sum(v) |
else: | else: |
v = float(sum(v))/len(v) | v = float(sum(v))/len(v) |
key, val = clean_key(k,v) | key, val = clean_key(k,v) |
c.global_totals.append((key, val)) | c.global_totals.append((key, val)) |
c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0)) | c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0)) |
keys = { | keys = { |
'Browser versions': 'browser_versions', | 'Browser versions': 'browser_versions', |
'Browsers': 'browsers', | 'Browsers': 'browsers', |
'Operating Systems versions': 'os_versions', | 'Operating Systems versions': 'os_versions', |
'Operating Systems': 'os', | 'Operating Systems': 'os', |
'Social sources': 'social_networks', | 'Social sources': 'social_networks', |
'Languages': 'languages', | 'Languages': 'languages', |
'Country': 'country' | 'Country': 'country' |
} | } |
def shorten_name(name, length=60): | def shorten_name(name, length=60): |
return (name[:length] + '..') if len(name) > 60 else name | return (name[:length] + '..') if len(name) > 60 else name |
def fill_out_url(url): | def fill_out_url(url): |
import urlparse | import urlparse |
return urlparse.urljoin(g.site_url, url) | return urlparse.urljoin(g.site_url, url) |
c.social_referrer_totals, c.social_referrers = [], [] | c.social_referrer_totals, c.social_referrers = [], [] |
q = model.Session.query(GA_ReferralStat) | q = model.Session.query(GA_ReferralStat) |
q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q | q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q |
q = q.order_by('ga_referrer.count::int desc') | q = q.order_by('ga_referrer.count::int desc') |
for entry in q.all(): | for entry in q.all(): |
c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url), | c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url), |
entry.source,entry.count)) | entry.source,entry.count)) |
q = model.Session.query(GA_ReferralStat.url, | q = model.Session.query(GA_ReferralStat.url, |
func.sum(GA_ReferralStat.count).label('count')) | func.sum(GA_ReferralStat.count).label('count')) |
q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q | q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q |
q = q.order_by('count desc').group_by(GA_ReferralStat.url) | q = q.order_by('count desc').group_by(GA_ReferralStat.url) |
for entry in q.all(): | for entry in q.all(): |
c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'', | c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'', |
entry[1])) | entry[1])) |
browser_version_re = re.compile("(.*)\((.*)\)") | browser_version_re = re.compile("(.*)\((.*)\)") |
for k, v in keys.iteritems(): | for k, v in keys.iteritems(): |
def clean_field(key): | def clean_field(key): |
if k != 'Browser versions': | if k != 'Browser versions': |
return key | return key |
m = browser_version_re.match(key) | m = browser_version_re.match(key) |
browser = m.groups()[0].strip() | browser = m.groups()[0].strip() |
ver = m.groups()[1] | ver = m.groups()[1] |
parts = ver.split('.') | parts = ver.split('.') |
if len(parts) > 1: | if len(parts) > 1: |
if parts[1][0] == '0': | if parts[1][0] == '0': |
ver = parts[0] | ver = parts[0] |
else: | else: |
ver = "%s.%s" % (parts[0],parts[1]) | ver = "%s.%s" % (parts[0],parts[1]) |
if browser in ['Safari','Android Browser']: # Special case complex version nums | if browser in ['Safari','Android Browser']: # Special case complex version nums |
ver = parts[0] | ver = parts[0] |
if len(ver) > 2: | if len(ver) > 2: |
ver = "%s%sX" % (ver[0], ver[1]) | ver = "%s%sX" % (ver[0], ver[1]) |
return "%s (%s)" % (browser, ver,) | return "%s (%s)" % (browser, ver,) |
q = model.Session.query(GA_Stat).\ | q = model.Session.query(GA_Stat).\ |
filter(GA_Stat.stat_name==k) | filter(GA_Stat.stat_name==k) |
if c.month: | if c.month: |
entries = [] | entries = [] |
q = q.filter(GA_Stat.period_name==c.month).\ | q = q.filter(GA_Stat.period_name==c.month).\ |
order_by('ga_stat.value::int desc') | order_by('ga_stat.value::int desc') |
d = collections.defaultdict(int) | d = collections.defaultdict(int) |
for e in q.all(): | for e in q.all(): |
d[clean_field(e.key)] += int(e.value) | d[clean_field(e.key)] += int(e.value) |
entries = [] | entries = [] |
for key, val in d.iteritems(): | for key, val in d.iteritems(): |
entries.append((key,val,)) | entries.append((key,val,)) |
entries = sorted(entries, key=operator.itemgetter(1), reverse=True) | entries = sorted(entries, key=operator.itemgetter(1), reverse=True) |
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 | # Get the total for each set of values and then set the value as |
# a percentage of the total | # a percentage of the total |
if k == 'Social sources': | if k == 'Social sources': |
total = sum([x for n,x in c.global_totals if n == 'Total visits']) | total = sum([x for n,x in c.global_totals if n == 'Total visits']) |
else: | else: |
total = sum([num for _,num in entries]) | total = sum([num for _,num in entries]) |
setattr(c, v, [(k,percent(v,total)) for k,v in entries ]) | setattr(c, v, [(k,_percent(v,total)) for k,v in entries ]) |
return render('ga_report/site/index.html') | return render('ga_report/site/index.html') |
class GaPublisherReport(BaseController): | class GaPublisherReport(BaseController): |
""" | """ |
Displays the pageview and visit count for specific publishers based on | Displays the pageview and visit count for specific publishers based on |
the datasets associated with the publisher. | the datasets associated with the publisher. |
""" | """ |
def csv(self, month): | def csv(self, month): |
c.month = month if not month =='all' else '' | c.month = month if not month =='all' else '' |
response.headers['Content-Type'] = "text/csv; charset=utf-8" | response.headers['Content-Type'] = "text/csv; charset=utf-8" |
response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,)) | response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,)) |
writer = csv.writer(response) | writer = csv.writer(response) |
writer.writerow(["Publisher", "Views", "Visits", "Period Name"]) | writer.writerow(["Publisher", "Views", "Visits", "Period Name"]) |
for publisher,view,visit in _get_publishers(None): | for publisher,view,visit in _get_publishers(None): |
writer.writerow([publisher.title.encode('utf-8'), | writer.writerow([publisher.title.encode('utf-8'), |
view, | view, |
visit, | visit, |
month]) | month]) |
def publisher_csv(self, id, month): | def publisher_csv(self, id, month): |
c.month = month if not month =='all' else '' | c.month = month if not month =='all' else '' |
c.publisher = model.Group.get(id) | c.publisher = model.Group.get(id) |
if not c.publisher: | if not c.publisher: |
abort(404, 'A publisher with that name could not be found') | abort(404, 'A publisher with that name could not be found') |
packages = self._get_packages(c.publisher) | packages = self._get_packages(c.publisher) |
response.headers['Content-Type'] = "text/csv; charset=utf-8" | response.headers['Content-Type'] = "text/csv; charset=utf-8" |
response.headers['Content-Disposition'] = \ | response.headers['Content-Disposition'] = \ |
str('attachment; filename=%s_%s.csv' % (c.publisher.name, month,)) | str('attachment; filename=%s_%s.csv' % (c.publisher.name, month,)) |
writer = csv.writer(response) | writer = csv.writer(response) |
writer.writerow(["Publisher", "Views", "Visits", "Period Name"]) | writer.writerow(["Publisher", "Views", "Visits", "Period Name"]) |
for package,view,visit in packages: | for package,view,visit in packages: |
writer.writerow([package.title.encode('utf-8'), | writer.writerow([package.title.encode('utf-8'), |
view, | view, |
visit, | visit, |
month]) | month]) |
def index(self): | def index(self): |
# Get the month details by fetching distinct values and determining the | # Get the month details by fetching distinct values and determining the |
# month names from the values. | # month names from the values. |
c.months = _month_details(GA_Url) | c.months = _month_details(GA_Url) |
# Work out which month to show, based on query params of the first item | # Work out which month to show, based on query params of the first item |
c.month = request.params.get('month', '') | c.month = request.params.get('month', '') |
c.month_desc = 'all months' | c.month_desc = 'all months' |
if c.month: | if c.month: |
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) |
c.top_publishers = _get_publishers() | c.top_publishers = _get_publishers() |
return render('ga_report/publisher/index.html') | return render('ga_report/publisher/index.html') |
def _get_packages(self, publisher, count=-1): | def _get_packages(self, publisher, count=-1): |
if count == -1: | if count == -1: |
count = sys.maxint | count = sys.maxint |
top_packages = [] | top_packages = [] |
q = model.Session.query(GA_Url).\ | q = model.Session.query(GA_Url).\ |
filter(GA_Url.department_id==publisher.name).\ | filter(GA_Url.department_id==publisher.name).\ |
filter(GA_Url.url.like('/dataset/%')) | filter(GA_Url.url.like('/dataset/%')) |
if c.month: | if c.month: |
q = q.filter(GA_Url.period_name==c.month) | q = q.filter(GA_Url.period_name==c.month) |
q = q.order_by('ga_url.pageviews::int desc') | q = q.order_by('ga_url.pageviews::int desc') |
if c.month: | if c.month: |
for entry in q[:count]: | for entry in q[:count]: |
p = model.Package.get(entry.url[len('/dataset/'):]) | p = model.Package.get(entry.url[len('/dataset/'):]) |
top_packages.append((p,entry.pageviews,entry.visitors)) | top_packages.append((p,entry.pageviews,entry.visitors)) |
else: | else: |
ds = {} | ds = {} |
for entry in q.all(): | for entry in q.all(): |
if len(ds) >= count: | if len(ds) >= count: |
break | break |
p = model.Package.get(entry.url[len('/dataset/'):]) | p = model.Package.get(entry.url[len('/dataset/'):]) |
if not p in ds: | if not p in ds: |
ds[p] = {'views':0, 'visits': 0} | ds[p] = {'views':0, 'visits': 0} |
ds[p]['views'] = ds[p]['views'] + int(entry.pageviews) | ds[p]['views'] = ds[p]['views'] + int(entry.pageviews) |
ds[p]['visits'] = ds[p]['visits'] + int(entry.visitors) | ds[p]['visits'] = ds[p]['visits'] + int(entry.visitors) |
results = [] | results = [] |
for k, v in ds.iteritems(): | for k, v in ds.iteritems(): |
results.append((k,v['views'],v['visits'])) | results.append((k,v['views'],v['visits'])) |
top_packages = sorted(results, key=operator.itemgetter(1), reverse=True) | top_packages = sorted(results, key=operator.itemgetter(1), reverse=True) |
return top_packages | return top_packages |
def read(self, id): | def read(self, id): |
count = 20 | count = 20 |
c.publisher = model.Group.get(id) | c.publisher = model.Group.get(id) |
if not c.publisher: | if not c.publisher: |
abort(404, 'A publisher with that name could not be found') | abort(404, 'A publisher with that name could not be found') |
c.top_packages = [] # package, dataset_views in c.top_packages | c.top_packages = [] # package, dataset_views in c.top_packages |
# Get the month details by fetching distinct values and determining the | # Get the month details by fetching distinct values and determining the |
# month names from the values. | # month names from the values. |
c.months = _month_details(GA_Url) | c.months = _month_details(GA_Url) |
# Work out which month to show, based on query params of the first item | # Work out which month to show, based on query params of the first item |
c.month = request.params.get('month', '') | c.month = request.params.get('month', '') |
if not c.month: | if not c.month: |
c.month_desc = 'all months' | c.month_desc = 'all months' |
else: | else: |
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) |
c.publisher_page_views = 0 | c.publisher_page_views = 0 |
q = model.Session.query(GA_Url).\ | q = model.Session.query(GA_Url).\ |
filter(GA_Url.url=='/publisher/%s' % c.publisher.name) | filter(GA_Url.url=='/publisher/%s' % c.publisher.name) |
if c.month: | if c.month: |
entry = q.filter(GA_Url.period_name==c.month).first() | entry = q.filter(GA_Url.period_name==c.month).first() |
c.publisher_page_views = entry.pageviews if entry else 0 | c.publisher_page_views = entry.pageviews if entry else 0 |
else: | else: |
for e in q.all(): | for e in q.all(): |
c.publisher_page_views = c.publisher_page_views + int(e.pageviews) | c.publisher_page_views = c.publisher_page_views + int(e.pageviews) |
c.top_packages = self._get_packages(c.publisher, 20) | c.top_packages = self._get_packages(c.publisher, 20) |
return render('ga_report/publisher/read.html') | return render('ga_report/publisher/read.html') |
def _get_publishers(limit=20): | def _get_publishers(limit=20): |
connection = model.Session.connection() | connection = model.Session.connection() |
q = """ | q = """ |
select department_id, sum(pageviews::int) views, sum(visitors::int) visits | select department_id, sum(pageviews::int) views, sum(visitors::int) visits |
from ga_url | from ga_url |
where department_id <> ''""" | where department_id <> ''""" |
if c.month: | if c.month: |
q = q + """ | q = q + """ |
and period_name=%s | and period_name=%s |
""" | """ |
q = q + """ | q = q + """ |
group by department_id order by views desc | group by department_id order by views desc |
""" | """ |
if limit: | if limit: |
q = q + " limit %s;" % (limit) | q = q + " limit %s;" % (limit) |
# Add this back (before and period_name =%s) if you want to ignore publisher | # Add this back (before and period_name =%s) if you want to ignore publisher |
# homepage views | # homepage views |
# and not url like '/publisher/%%' | # and not url like '/publisher/%%' |
top_publishers = [] | top_publishers = [] |
res = connection.execute(q, c.month) | res = connection.execute(q, c.month) |
for row in res: | for row in res: |
g = model.Group.get(row[0]) | g = model.Group.get(row[0]) |
if g: | if g: |
top_publishers.append((g, row[1], row[2])) | top_publishers.append((g, row[1], row[2])) |
return top_publishers | return top_publishers |
def _percent(num, total): | |
p = 100 * float(num)/float(total) | |
return "%.2f%%" % round(p, 2) | |
import os | import os |
import logging | import logging |
import datetime | import datetime |
import collections | import collections |
from pylons import config | from pylons import config |
import ga_model | import ga_model |
#from ga_client import GA | #from ga_client import GA |
log = logging.getLogger('ckanext.ga-report') | log = logging.getLogger('ckanext.ga-report') |
FORMAT_MONTH = '%Y-%m' | FORMAT_MONTH = '%Y-%m' |
class DownloadAnalytics(object): | class DownloadAnalytics(object): |
'''Downloads and stores analytics info''' | '''Downloads and stores analytics info''' |
def __init__(self, service=None, profile_id=None): | def __init__(self, service=None, profile_id=None): |
self.period = config['ga-report.period'] | self.period = config['ga-report.period'] |
self.service = service | self.service = service |
self.profile_id = profile_id | self.profile_id = profile_id |
def specific_month(self, date): | def specific_month(self, date): |
import calendar | import calendar |
first_of_this_month = datetime.datetime(date.year, date.month, 1) | first_of_this_month = datetime.datetime(date.year, date.month, 1) |
_, last_day_of_month = calendar.monthrange(int(date.year), int(date.month)) | _, 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) | last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month) |
periods = ((date.strftime(FORMAT_MONTH), | periods = ((date.strftime(FORMAT_MONTH), |
last_day_of_month, | last_day_of_month, |
first_of_this_month, last_of_this_month),) | first_of_this_month, last_of_this_month),) |
self.download_and_store(periods) | self.download_and_store(periods) |
def latest(self): | def latest(self): |
if self.period == 'monthly': | if self.period == 'monthly': |
# from first of this month to today | # from first of this month to today |
now = datetime.datetime.now() | now = datetime.datetime.now() |
first_of_this_month = datetime.datetime(now.year, now.month, 1) | first_of_this_month = datetime.datetime(now.year, now.month, 1) |
periods = ((now.strftime(FORMAT_MONTH), | periods = ((now.strftime(FORMAT_MONTH), |
now.day, | now.day, |
first_of_this_month, now),) | first_of_this_month, now),) |
else: | else: |
raise NotImplementedError | raise NotImplementedError |
self.download_and_store(periods) | self.download_and_store(periods) |
def for_date(self, for_date): | def for_date(self, for_date): |
assert isinstance(since_date, datetime.datetime) | assert isinstance(since_date, datetime.datetime) |
periods = [] # (period_name, period_complete_day, start_date, end_date) | periods = [] # (period_name, period_complete_day, start_date, end_date) |
if self.period == 'monthly': | if self.period == 'monthly': |
first_of_the_months_until_now = [] | first_of_the_months_until_now = [] |
year = for_date.year | year = for_date.year |
month = for_date.month | month = for_date.month |
now = datetime.datetime.now() | now = datetime.datetime.now() |
first_of_this_month = datetime.datetime(now.year, now.month, 1) | first_of_this_month = datetime.datetime(now.year, now.month, 1) |
while True: | while True: |
first_of_the_month = datetime.datetime(year, month, 1) | first_of_the_month = datetime.datetime(year, month, 1) |
if first_of_the_month == first_of_this_month: | if first_of_the_month == first_of_this_month: |
periods.append((now.strftime(FORMAT_MONTH), | periods.append((now.strftime(FORMAT_MONTH), |
now.day, | now.day, |
first_of_this_month, now)) | first_of_this_month, now)) |
break | break |
elif first_of_the_month < first_of_this_month: | elif first_of_the_month < first_of_this_month: |
in_the_next_month = first_of_the_month + datetime.timedelta(40) | in_the_next_month = first_of_the_month + datetime.timedelta(40) |
last_of_the_month = datetime.datetime(in_the_next_month.year, | last_of_the_month = datetime.datetime(in_the_next_month.year, |
in_the_next_month.month, 1)\ | in_the_next_month.month, 1)\ |
- datetime.timedelta(1) | - datetime.timedelta(1) |
periods.append((now.strftime(FORMAT_MONTH), 0, | periods.append((now.strftime(FORMAT_MONTH), 0, |
first_of_the_month, last_of_the_month)) | first_of_the_month, last_of_the_month)) |
else: | else: |
# first_of_the_month has got to the future somehow | # first_of_the_month has got to the future somehow |
break | break |
month += 1 | month += 1 |
if month > 12: | if month > 12: |
year += 1 | year += 1 |
month = 1 | month = 1 |
else: | else: |
raise NotImplementedError | raise NotImplementedError |
self.download_and_store(periods) | self.download_and_store(periods) |
@staticmethod | @staticmethod |
def get_full_period_name(period_name, period_complete_day): | def get_full_period_name(period_name, period_complete_day): |
if period_complete_day: | if period_complete_day: |
return period_name + ' (up to %ith)' % period_complete_day | return period_name + ' (up to %ith)' % period_complete_day |
else: | else: |
return period_name | return period_name |
def download_and_store(self, periods): | def download_and_store(self, periods): |
for period_name, period_complete_day, start_date, end_date in periods: | for period_name, period_complete_day, start_date, end_date in periods: |
log.info('Downloading Analytics for period "%s" (%s - %s)', | log.info('Downloading Analytics for period "%s" (%s - %s)', |
self.get_full_period_name(period_name, period_complete_day), | self.get_full_period_name(period_name, period_complete_day), |
start_date.strftime('%Y %m %d'), | start_date.strftime('%Y %m %d'), |
end_date.strftime('%Y %m %d')) | end_date.strftime('%Y %m %d')) |
data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+') | data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+') |
log.info('Storing Dataset Analytics for period "%s"', | log.info('Storing Dataset Analytics for period "%s"', |
self.get_full_period_name(period_name, period_complete_day)) | self.get_full_period_name(period_name, period_complete_day)) |
self.store(period_name, period_complete_day, data, ) | 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, '~/publisher/[a-z0-9-_]+') |
log.info('Storing Publisher Analytics for period "%s"', | log.info('Storing Publisher Analytics for period "%s"', |
self.get_full_period_name(period_name, period_complete_day)) | self.get_full_period_name(period_name, period_complete_day)) |
self.store(period_name, period_complete_day, data,) | self.store(period_name, period_complete_day, data,) |
ga_model.update_publisher_stats(period_name) # about 30 seconds. | ga_model.update_publisher_stats(period_name) # about 30 seconds. |
self.sitewide_stats( period_name ) | self.sitewide_stats( period_name ) |
self.update_social_info(period_name, start_date, end_date) | self.update_social_info(period_name, start_date, end_date) |
def update_social_info(self, 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') | start_date = start_date.strftime('%Y-%m-%d') |
end_date = end_date.strftime('%Y-%m-%d') | end_date = end_date.strftime('%Y-%m-%d') |
query = 'ga:hasSocialSourceReferral=~Yes$' | query = 'ga:hasSocialSourceReferral=~Yes$' |
metrics = 'ga:entrances' | metrics = 'ga:entrances' |
sort = '-ga:entrances' | sort = '-ga:entrances' |
# Supported query params at | # Supported query params at |
# https://developers.google.com/analytics/devguides/reporting/core/v3/reference | # https://developers.google.com/analytics/devguides/reporting/core/v3/reference |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
filters=query, | filters=query, |
start_date=start_date, | start_date=start_date, |
metrics=metrics, | metrics=metrics, |
sort=sort, | sort=sort, |
dimensions="ga:landingPagePath,ga:socialNetwork", | dimensions="ga:landingPagePath,ga:socialNetwork", |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
data = collections.defaultdict(list) | data = collections.defaultdict(list) |
rows = results.get('rows',[]) | rows = results.get('rows',[]) |
for row in rows: | for row in rows: |
from ga_model import _normalize_url | from ga_model import _normalize_url |
data[_normalize_url(row[0])].append( (row[1], int(row[2]),) ) | data[_normalize_url(row[0])].append( (row[1], int(row[2]),) ) |
ga_model.update_social(period_name, data) | 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='~/dataset/[a-z0-9-_]+'): |
'''Get data from GA for a given time period''' | '''Get data from GA for a given time period''' |
start_date = start_date.strftime('%Y-%m-%d') | start_date = start_date.strftime('%Y-%m-%d') |
end_date = end_date.strftime('%Y-%m-%d') | end_date = end_date.strftime('%Y-%m-%d') |
query = 'ga:pagePath=%s$' % path | query = 'ga:pagePath=%s$' % path |
metrics = 'ga:uniquePageviews, ga:visitors' | metrics = 'ga:uniquePageviews, ga:visitors' |
sort = '-ga:uniquePageviews' | sort = '-ga:uniquePageviews' |
# Supported query params at | # Supported query params at |
# https://developers.google.com/analytics/devguides/reporting/core/v3/reference | # https://developers.google.com/analytics/devguides/reporting/core/v3/reference |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
filters=query, | filters=query, |
start_date=start_date, | start_date=start_date, |
metrics=metrics, | metrics=metrics, |
sort=sort, | sort=sort, |
dimensions="ga:pagePath", | dimensions="ga:pagePath", |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
if os.getenv('DEBUG'): | |
import pprint | |
pprint.pprint(results) | |
print 'Total results: %s' % results.get('totalResults') | |
packages = [] | packages = [] |
for entry in results.get('rows'): | for entry in results.get('rows'): |
(loc,pageviews,visits) = entry | (loc,pageviews,visits) = entry |
packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack | packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack |
return dict(url=packages) | return dict(url=packages) |
def store(self, period_name, period_complete_day, data): | def store(self, period_name, period_complete_day, data): |
if 'url' in data: | if 'url' in data: |
ga_model.update_url_stats(period_name, period_complete_day, data['url']) | ga_model.update_url_stats(period_name, period_complete_day, data['url']) |
def sitewide_stats(self, period_name): | def sitewide_stats(self, period_name): |
import calendar | import calendar |
year, month = period_name.split('-') | year, month = period_name.split('-') |
_, last_day_of_month = calendar.monthrange(int(year), int(month)) | _, last_day_of_month = calendar.monthrange(int(year), int(month)) |
start_date = '%s-01' % period_name | start_date = '%s-01' % period_name |
end_date = '%s-%s' % (period_name, last_day_of_month) | end_date = '%s-%s' % (period_name, last_day_of_month) |
print 'Sitewide_stats for %s (%s -> %s)' % (period_name, start_date, end_date) | print 'Sitewide_stats for %s (%s -> %s)' % (period_name, start_date, end_date) |
funcs = ['_totals_stats', '_social_stats', '_os_stats', | funcs = ['_totals_stats', '_social_stats', '_os_stats', |
'_locale_stats', '_browser_stats', '_mobile_stats'] | '_locale_stats', '_browser_stats', '_mobile_stats'] |
for f in funcs: | for f in funcs: |
print ' + Fetching %s stats' % f.split('_')[1] | print ' + Fetching %s stats' % f.split('_')[1] |
getattr(self, f)(start_date, end_date, period_name) | getattr(self, f)(start_date, end_date, period_name) |
def _get_results(result_data, f): | def _get_results(result_data, f): |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
key = f(result) | key = f(result) |
data[key] = data.get(key,0) + result[1] | data[key] = data.get(key,0) + result[1] |
return data | return data |
def _totals_stats(self, start_date, end_date, period_name): | def _totals_stats(self, start_date, end_date, period_name): |
""" Fetches distinct totals, total pageviews etc """ | """ Fetches distinct totals, total pageviews etc """ |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
start_date=start_date, | start_date=start_date, |
metrics='ga:uniquePageviews', | metrics='ga:uniquePageviews', |
sort='-ga:uniquePageviews', | sort='-ga:uniquePageviews', |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
result_data = results.get('rows') | result_data = results.get('rows') |
ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}) | ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}) |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
start_date=start_date, | start_date=start_date, |
metrics='ga:pageviewsPerVisit,ga:bounces,ga:avgTimeOnSite,ga:percentNewVisits,ga:visitors', | metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visitors', |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
result_data = results.get('rows') | result_data = results.get('rows') |
data = { | data = { |
'Pages per visit': result_data[0][0], | 'Pages per visit': result_data[0][0], |
'Bounces': result_data[0][1], | 'Average time on site': result_data[0][1], |
'Average time on site': result_data[0][2], | 'New visits': result_data[0][2], |
'New visits': result_data[0][3], | 'Total visits': result_data[0][3], |
'Total visits': result_data[0][4], | |
} | } |
ga_model.update_sitewide_stats(period_name, "Totals", data) | 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): | def _locale_stats(self, start_date, end_date, period_name): |
""" Fetches stats about language and country """ | """ Fetches stats about language and country """ |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
start_date=start_date, | start_date=start_date, |
metrics='ga:uniquePageviews', | metrics='ga:uniquePageviews', |
sort='-ga:uniquePageviews', | sort='-ga:uniquePageviews', |
dimensions="ga:language,ga:country", | dimensions="ga:language,ga:country", |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
result_data = results.get('rows') | result_data = results.get('rows') |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
ga_model.update_sitewide_stats(period_name, "Languages", data) | ga_model.update_sitewide_stats(period_name, "Languages", data) |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
data[result[1]] = data.get(result[1], 0) + int(result[2]) | data[result[1]] = data.get(result[1], 0) + int(result[2]) |
ga_model.update_sitewide_stats(period_name, "Country", data) | ga_model.update_sitewide_stats(period_name, "Country", data) |
def _social_stats(self, start_date, end_date, period_name): | def _social_stats(self, start_date, end_date, period_name): |
""" Finds out which social sites people are referred from """ | """ Finds out which social sites people are referred from """ |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
start_date=start_date, | start_date=start_date, |
metrics='ga:uniquePageviews', | metrics='ga:uniquePageviews', |
sort='-ga:uniquePageviews', | sort='-ga:uniquePageviews', |
dimensions="ga:socialNetwork,ga:referralPath", | dimensions="ga:socialNetwork,ga:referralPath", |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
result_data = results.get('rows') | result_data = results.get('rows') |
twitter_links = [] | twitter_links = [] |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
if not result[0] == '(not set)': | if not result[0] == '(not set)': |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
if result[0] == 'Twitter': | if result[0] == 'Twitter': |
twitter_links.append(result[1]) | twitter_links.append(result[1]) |
ga_model.update_sitewide_stats(period_name, "Social sources", data) | ga_model.update_sitewide_stats(period_name, "Social sources", data) |
def _os_stats(self, start_date, end_date, period_name): | def _os_stats(self, start_date, end_date, period_name): |
""" Operating system stats """ | """ Operating system stats """ |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
start_date=start_date, | start_date=start_date, |
metrics='ga:uniquePageviews', | metrics='ga:uniquePageviews', |
sort='-ga:uniquePageviews', | sort='-ga:uniquePageviews', |
dimensions="ga:operatingSystem,ga:operatingSystemVersion", | dimensions="ga:operatingSystem,ga:operatingSystemVersion", |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
result_data = results.get('rows') | result_data = results.get('rows') |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
ga_model.update_sitewide_stats(period_name, "Operating Systems", data) | ga_model.update_sitewide_stats(period_name, "Operating Systems", data) |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
key = "%s (%s)" % (result[0],result[1]) | key = "%s (%s)" % (result[0],result[1]) |
data[key] = result[2] | data[key] = result[2] |
ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) | ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) |
def _browser_stats(self, start_date, end_date, period_name): | def _browser_stats(self, start_date, end_date, period_name): |
""" Information about browsers and browser versions """ | """ Information about browsers and browser versions """ |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
start_date=start_date, | start_date=start_date, |
metrics='ga:uniquePageviews', | metrics='ga:uniquePageviews', |
sort='-ga:uniquePageviews', | sort='-ga:uniquePageviews', |
dimensions="ga:browser,ga:browserVersion", | dimensions="ga:browser,ga:browserVersion", |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
result_data = results.get('rows') | result_data = results.get('rows') |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
ga_model.update_sitewide_stats(period_name, "Browsers", data) | ga_model.update_sitewide_stats(period_name, "Browsers", data) |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
key = "%s (%s)" % (result[0], result[1]) | key = "%s (%s)" % (result[0], result[1]) |
data[key] = result[2] | data[key] = result[2] |
ga_model.update_sitewide_stats(period_name, "Browser versions", data) | ga_model.update_sitewide_stats(period_name, "Browser versions", data) |
def _mobile_stats(self, start_date, end_date, period_name): | def _mobile_stats(self, start_date, end_date, period_name): |
""" Info about mobile devices """ | """ Info about mobile devices """ |
results = self.service.data().ga().get( | results = self.service.data().ga().get( |
ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
start_date=start_date, | start_date=start_date, |
metrics='ga:uniquePageviews', | metrics='ga:uniquePageviews', |
sort='-ga:uniquePageviews', | sort='-ga:uniquePageviews', |
dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", | dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", |
max_results=10000, | max_results=10000, |
end_date=end_date).execute() | end_date=end_date).execute() |
result_data = results.get('rows') | result_data = results.get('rows') |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
ga_model.update_sitewide_stats(period_name, "Mobile brands", data) | ga_model.update_sitewide_stats(period_name, "Mobile brands", data) |
data = {} | data = {} |
for result in result_data: | for result in result_data: |
data[result[1]] = data.get(result[1], 0) + int(result[2]) | data[result[1]] = data.get(result[1], 0) + int(result[2]) |
ga_model.update_sitewide_stats(period_name, "Mobile devices", data) | ga_model.update_sitewide_stats(period_name, "Mobile devices", data) |