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/okfn/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) |
googleanalytics.username = googleaccount@gmail.com | |
googleanalytics.password = googlepassword | |
ga-report.period = monthly | ga-report.period = monthly |
Note that your password 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 logging | import logging |
import datetime | import datetime |
from ckan.lib.cli import CkanCommand | from ckan.lib.cli import CkanCommand |
# No other CKAN imports allowed until _load_config is run, | # No other CKAN imports allowed until _load_config is run, |
# or logging is disabled | # or logging is disabled |
class InitDB(CkanCommand): | class InitDB(CkanCommand): |
"""Initialise the extension's database tables | """Initialise the extension's database tables |
""" | """ |
summary = __doc__.split('\n')[0] | summary = __doc__.split('\n')[0] |
usage = __doc__ | usage = __doc__ |
max_args = 0 | max_args = 0 |
min_args = 0 | min_args = 0 |
def command(self): | def command(self): |
self._load_config() | self._load_config() |
import ckan.model as model | import ckan.model as model |
model.Session.remove() | model.Session.remove() |
model.Session.configure(bind=model.meta.engine) | model.Session.configure(bind=model.meta.engine) |
log = logging.getLogger('ckanext.ga-report') | log = logging.getLogger('ckanext.ga-report') |
import ga_model | import ga_model |
ga_model.init_tables() | ga_model.init_tables() |
log.info("DB tables are setup") | log.info("DB tables are setup") |
class GetAuthToken(CkanCommand): | class GetAuthToken(CkanCommand): |
""" Get's the Google auth token | """ Get's the Google auth token |
Usage: paster getauthtoken <credentials_file> | Usage: paster getauthtoken <credentials_file> |
Where <credentials_file> is the file name containing the details | Where <credentials_file> is the file name containing the details |
for the service (obtained from https://code.google.com/apis/console). | for the service (obtained from https://code.google.com/apis/console). |
By default this is set to credentials.json | By default this is set to credentials.json |
""" | """ |
summary = __doc__.split('\n')[0] | summary = __doc__.split('\n')[0] |
usage = __doc__ | usage = __doc__ |
max_args = 0 | max_args = 0 |
min_args = 0 | min_args = 0 |
def command(self): | def command(self): |
""" | """ |
In this case we don't want a valid service, but rather just to | In this case we don't want a valid service, but rather just to |
force the user through the auth flow. We allow this to complete to | force the user through the auth flow. We allow this to complete to |
act as a form of verification instead of just getting the token and | act as a form of verification instead of just getting the token and |
assuming it is correct. | assuming it is correct. |
""" | """ |
from ga_auth import init_service | from ga_auth import init_service |
init_service('token.dat', | init_service('token.dat', |
self.args[0] if self.args | self.args[0] if self.args |
else 'credentials.json') | else 'credentials.json') |
class LoadAnalytics(CkanCommand): | class LoadAnalytics(CkanCommand): |
"""Get data from Google Analytics API and save it | """Get data from Google Analytics API and save it |
in the ga_model | in the ga_model |
Usage: paster loadanalytics <tokenfile> <time-period> | Usage: paster loadanalytics <tokenfile> <time-period> |
Where <tokenfile> is the name of the auth token file from | Where <tokenfile> is the name of the auth token file from |
the getauthtoken step. | the getauthtoken step. |
And where <time-period> is: | And where <time-period> is: |
all - data for all time | all - data for all time |
latest - (default) just the 'latest' data | latest - (default) just the 'latest' data |
YYYY-MM-DD - just data for all time periods going | YYYY-MM - just data for the specific month |
back to (and including) this date | |
""" | """ |
summary = __doc__.split('\n')[0] | summary = __doc__.split('\n')[0] |
usage = __doc__ | usage = __doc__ |
max_args = 2 | max_args = 2 |
min_args = 1 | min_args = 1 |
def command(self): | def command(self): |
self._load_config() | self._load_config() |
from download_analytics import DownloadAnalytics | from download_analytics import DownloadAnalytics |
from ga_auth import (init_service, get_profile_id) | from ga_auth import (init_service, get_profile_id) |
try: | try: |
svc = init_service(self.args[0], None) | svc = init_service(self.args[0], None) |
except TypeError: | except TypeError: |
print ('Have you correctly run the getauthtoken task and ' | print ('Have you correctly run the getauthtoken task and ' |
'specified the correct file here') | 'specified the correct file here') |
return | return |
downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc)) | downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc)) |
time_period = self.args[1] if self.args and len(self.args) > 1 \ | time_period = self.args[1] if self.args and len(self.args) > 1 \ |
else 'latest' | else 'latest' |
if time_period == 'all': | if time_period == 'all': |
downloader.all_() | downloader.all_() |
elif time_period == 'latest': | elif time_period == 'latest': |
downloader.latest() | downloader.latest() |
else: | else: |
since_date = datetime.datetime.strptime(time_period, '%Y-%m-%d') | # The month to use |
downloader.since_date(since_date) | for_date = datetime.datetime.strptime(time_period, '%Y-%m') |
downloader.specific_month(for_date) | |
import logging | import logging |
from ckan.lib.base import BaseController, c, render | import operator |
import report_model | from ckan.lib.base import BaseController, c, render, request, response |
import sqlalchemy | |
from sqlalchemy import func, cast, Integer | |
import ckan.model as model | |
from ga_model import GA_Url, GA_Stat | |
log = logging.getLogger('ckanext.ga-report') | log = logging.getLogger('ckanext.ga-report') |
def _get_month_name(strdate): | |
import calendar | |
from time import strptime | |
d = strptime(strdate, '%Y-%m') | |
return '%s %s' % (calendar.month_name[d.tm_mon], d.tm_year) | |
def _month_details(cls): | |
months = [] | |
vals = model.Session.query(cls.period_name).distinct().all() | |
for m in vals: | |
months.append( (m[0], _get_month_name(m[0]))) | |
return sorted(months, key=operator.itemgetter(0), reverse=True) | |
class GaReport(BaseController): | class GaReport(BaseController): |
def csv(self, month): | |
import csv | |
entries = model.Session.query(GA_Stat).\ | |
filter(GA_Stat.period_name==month).\ | |
order_by('GA_Stat.stat_name, GA_Stat.key').all() | |
response.headers['Content-Type'] = "text/csv; charset=utf-8" | |
writer = csv.writer(response) | |
writer.writerow(["Period", "Statistic", "Key", "Value"]) | |
for entry in entries: | |
writer.writerow([entry.period_name.encode('utf-8'), | |
entry.stat_name.encode('utf-8'), | |
entry.key.encode('utf-8'), | |
entry.value.encode('utf-8')]) | |
def index(self): | def index(self): |
return render('index.html') | |
# Get the month details by fetching distinct values and determining the | |
# month names from the values. | |
c.months = _month_details(GA_Stat) | |
# Work out which month to show, based on query params of the first item | |
c.month = request.params.get('month', c.months[0][0] if c.months else '') | |
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | |
entries = model.Session.query(GA_Stat).\ | |
filter(GA_Stat.stat_name=='Totals').\ | |
filter(GA_Stat.period_name==c.month).\ | |
order_by('ga_stat.key').all() | |
c.global_totals = [(s.key, s.value) for s in entries ] | |
keys = { | |
'Browser versions': 'browsers', | |
'Operating Systems versions': 'os', | |
'Social sources': 'social_networks', | |
'Languages': 'languages', | |
'Country': 'country' | |
} | |
for k, v in keys.iteritems(): | |
entries = model.Session.query(GA_Stat).\ | |
filter(GA_Stat.stat_name==k).\ | |
filter(GA_Stat.period_name==c.month).\ | |
order_by('ga_stat.value::int desc').all() | |
setattr(c, v, [(s.key, s.value) for s in entries ]) | |
return render('ga_report/site/index.html') | |
class GaPublisherReport(BaseController): | |
""" | |
Displays the pageview and visit count for specific publishers based on | |
the datasets associated with the publisher. | |
""" | |
def index(self): | |
# Get the month details by fetching distinct values and determining the | |
# month names from the values. | |
c.months = _month_details(GA_Url) | |
# Work out which month to show, based on query params of the first item | |
c.month = request.params.get('month', c.months[0][0] if c.months else '') | |
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | |
# and not url like '/publisher/%%' | |
connection = model.Session.connection() | |
q = """ | |
select department_id, sum(pageviews::int) views, sum(visitors::int) visits | |
from ga_url | |
where department_id <> '' | |
and period_name=%s | |
group by department_id order by views desc limit 20; | |
""" | |
c.top_publishers = [] | |
res = connection.execute(q, c.month) | |
for row in res: | |
c.top_publishers.append((model.Group.get(row[0]), row[1], row[2])) | |
return render('ga_report/publisher/index.html') | |
def read(self, id): | |
c.publisher = model.Group.get(id) | |
c.top_packages = [] # package, dataset_views in c.top_packages | |
# Get the month details by fetching distinct values and determining the | |
# month names from the values. | |
c.months = _month_details(GA_Url) | |
# Work out which month to show, based on query params of the first item | |
c.month = request.params.get('month', c.months[0][0] if c.months else '') | |
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) | |
entry = model.Session.query(GA_Url).\ | |
filter(GA_Url.url=='/publisher/%s' % c.publisher.name).\ | |
filter(GA_Url.period_name==c.month).first() | |
c.publisher_page_views = entry.pageviews if entry else 0 | |
entries = model.Session.query(GA_Url).\ | |
filter(GA_Url.department_id==c.publisher.name).\ | |
filter(GA_Url.period_name==c.month).\ | |
order_by('ga_url.pageviews::int desc')[:20] | |
for entry in entries: | |
if entry.url.startswith('/dataset/'): | |
p = model.Package.get(entry.url[len('/dataset/'):]) | |
c.top_packages.append((p,entry.pageviews,entry.visitors)) | |
return render('ga_report/publisher/read.html') | |
import os | |
import logging | import logging |
import datetime | import datetime |
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 all_(self): | def specific_month(self, date): |
self.since_date(datetime.datetime(2010, 1, 1)) | import calendar |
first_of_this_month = datetime.datetime(date.year, date.month, 1) | |
_, last_day_of_month = calendar.monthrange(int(date.year), int(date.month)) | |
last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month) | |
periods = ((date.strftime(FORMAT_MONTH), | |
last_day_of_month, | |
first_of_this_month, last_of_this_month),) | |
self.download_and_store(periods) | |
def latest(self): | 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 since_date(self, since_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 = since_date.year | year = for_date.year |
month = since_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) | |
log.info('Storing Analytics for period "%s"', | data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+') |
log.info('Storing Dataset Analytics for period "%s"', | |
self.get_full_period_name(period_name, period_complete_day)) | self.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-_]+') | |
def download(self, start_date, end_date): | log.info('Storing Publisher Analytics for period "%s"', |
self.get_full_period_name(period_name, period_complete_day)) | |
self.store(period_name, period_complete_day, data,) | |
ga_model.update_publisher_stats(period_name) # about 30 seconds. | |
self.sitewide_stats( period_name ) | |
def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'): | |
'''Get data from GA for a given time period''' | '''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') |
# url | query = 'ga:pagePath=%s$' % path |
#query = 'ga:pagePath=~^%s,ga:pagePath=~^%s' % \ | metrics = 'ga:uniquePageviews, ga:visitors' |
# (PACKAGE_URL, self.resource_url_tag) | |
query = 'ga:pagePath=~/dataset/[a-z0-9-]+$' | |
metrics = 'ga:uniquePageviews' | |
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", |
end_date=end_date).execute() | max_results=10000, |
end_date=end_date).execute() | |
import pprint | |
pprint.pprint(results) | if os.getenv('DEBUG'): |
print 'Total results: %s' % results.get('totalResults') | 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,size,) = entry | (loc,pageviews,visits) = entry |
packages.append( ('http:/' + loc,size, '',) ) | packages.append( ('http:/' + loc, pageviews, visits,) ) # Temporary hack |
return dict(url=packages) | return dict(url=packages) |
def print_results(self, results): | |
import pprint | |
pprint.pprint(results) | |
if results: | |
print 'Profile: %s' % results.get('profileInfo').get('profileName') | |
print 'Total Visits: %s' % results.get('rows', [[-1]])[0][0] | |
else: | |
print 'No results found' | |
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): | |
import calendar | |
year, month = period_name.split('-') | |
_, last_day_of_month = calendar.monthrange(int(year), int(month)) | |
start_date = '%s-01' % period_name | |
end_date = '%s-%s' % (period_name, last_day_of_month) | |
print 'Sitewide_stats for %s (%s -> %s)' % (period_name, start_date, end_date) | |
funcs = ['_totals_stats', '_social_stats', '_os_stats', | |
'_locale_stats', '_browser_stats', '_mobile_stats'] | |
for f in funcs: | |
print ' + Fetching %s stats' % f.split('_')[1] | |
getattr(self, f)(start_date, end_date, period_name) | |
def _get_results(result_data, f): | |
data = {} | |
for result in result_data: | |
key = f(result) | |
data[key] = data.get(key,0) + result[1] | |
return data | |
def _totals_stats(self, start_date, end_date, period_name): | |
""" Fetches distinct totals, total pageviews etc """ | |
results = self.service.data().ga().get( | |
ids='ga:' + self.profile_id, | |
start_date=start_date, | |
metrics='ga:uniquePageviews', | |
sort='-ga:uniquePageviews', | |
max_results=10000, | |
end_date=end_date).execute() | |
result_data = results.get('rows') | |
ga_model.update_sitewide_stats(period_name, "Totals", {'Total pageviews': result_data[0][0]}) | |
results = self.service.data().ga().get( | |
ids='ga:' + self.profile_id, | |
start_date=start_date, | |
metrics='ga:pageviewsPerVisit,ga:bounces,ga:avgTimeOnSite,ga:percentNewVisits', | |
max_results=10000, | |
end_date=end_date).execute() | |
result_data = results.get('rows') | |
data = { | |
'Pages per visit': result_data[0][0], | |
'Bounces': result_data[0][1], | |
'Average time on site': result_data[0][2], | |
'Percent new visits': result_data[0][3], | |
} | |
ga_model.update_sitewide_stats(period_name, "Totals", data) | |
def _locale_stats(self, start_date, end_date, period_name): | |
""" Fetches stats about language and country """ | |
results = self.service.data().ga().get( | |
ids='ga:' + self.profile_id, | |
start_date=start_date, | |
metrics='ga:uniquePageviews', | |
sort='-ga:uniquePageviews', | |
dimensions="ga:language,ga:country", | |
max_results=10000, | |
end_date=end_date).execute() | |
result_data = results.get('rows') | |
data = {} | |
for result in result_data: | |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
ga_model.update_sitewide_stats(period_name, "Languages", data) | |
data = {} | |
for result in result_data: | |
data[result[1]] = data.get(result[1], 0) + int(result[2]) | |
ga_model.update_sitewide_stats(period_name, "Country", data) | |
def _social_stats(self, start_date, end_date, period_name): | |
""" Finds out which social sites people are referred from """ | |
results = self.service.data().ga().get( | |
ids='ga:' + self.profile_id, | |
start_date=start_date, | |
metrics='ga:uniquePageviews', | |
sort='-ga:uniquePageviews', | |
dimensions="ga:socialNetwork,ga:referralPath", | |
max_results=10000, | |
end_date=end_date).execute() | |
result_data = results.get('rows') | |
twitter_links = [] | |
data = {} | |
for result in result_data: | |
if not result[0] == '(not set)': | |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
if result[0] == 'Twitter': | |
twitter_links.append(result[1]) | |
ga_model.update_sitewide_stats(period_name, "Social sources", data) | |
def _os_stats(self, start_date, end_date, period_name): | |
""" Operating system stats """ | |
results = self.service.data().ga().get( | |
ids='ga:' + self.profile_id, | |
start_date=start_date, | |
metrics='ga:uniquePageviews', | |
sort='-ga:uniquePageviews', | |
dimensions="ga:operatingSystem,ga:operatingSystemVersion", | |
max_results=10000, | |
end_date=end_date).execute() | |
result_data = results.get('rows') | |
data = {} | |
for result in result_data: | |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
ga_model.update_sitewide_stats(period_name, "Operating Systems", data) | |
data = {} | |
for result in result_data: | |
key = "%s (%s)" % (result[0],result[1]) | |
data[key] = result[2] | |
ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) | |
def _browser_stats(self, start_date, end_date, period_name): | |
""" Information about browsers and browser versions """ | |
results = self.service.data().ga().get( | |
ids='ga:' + self.profile_id, | |
start_date=start_date, | |
metrics='ga:uniquePageviews', | |
sort='-ga:uniquePageviews', | |
dimensions="ga:browser,ga:browserVersion", | |
max_results=10000, | |
end_date=end_date).execute() | |
result_data = results.get('rows') | |
data = {} | |
for result in result_data: | |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
ga_model.update_sitewide_stats(period_name, "Browsers", data) | |
data = {} | |
for result in result_data: | |
key = "%s (%s)" % (result[0], result[1]) | |
data[key] = result[2] | |
ga_model.update_sitewide_stats(period_name, "Browser versions", data) | |
def _mobile_stats(self, start_date, end_date, period_name): | |
""" Info about mobile devices """ | |
results = self.service.data().ga().get( | |
ids='ga:' + self.profile_id, | |
start_date=start_date, | |
metrics='ga:uniquePageviews', | |
sort='-ga:uniquePageviews', | |
dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", | |
max_results=10000, | |
end_date=end_date).execute() | |
result_data = results.get('rows') | |
data = {} | |
for result in result_data: | |
data[result[0]] = data.get(result[0], 0) + int(result[2]) | |
ga_model.update_sitewide_stats(period_name, "Mobile brands", data) | |
data = {} | |
for result in result_data: | |
data[result[1]] = data.get(result[1], 0) + int(result[2]) | |
ga_model.update_sitewide_stats(period_name, "Mobile devices", data) | |
import re | import re |
import uuid | import uuid |
from sqlalchemy import Table, Column, MetaData | from sqlalchemy import Table, Column, MetaData |
from sqlalchemy import types | from sqlalchemy import types |
from sqlalchemy.sql import select | from sqlalchemy.sql import select |
from sqlalchemy.orm import mapper | from sqlalchemy.orm import mapper |
from sqlalchemy import func | from sqlalchemy import func |
import ckan.model as model | import ckan.model as model |
from ckan.lib.base import * | from ckan.lib.base import * |
def make_uuid(): | def make_uuid(): |
return unicode(uuid.uuid4()) | return unicode(uuid.uuid4()) |
class GA_Url(object): | class GA_Url(object): |
def __init__(self, **kwargs): | |
for k,v in kwargs.items(): | |
setattr(self, k, v) | |
class GA_Stat(object): | |
def __init__(self, **kwargs): | |
for k,v in kwargs.items(): | |
setattr(self, k, v) | |
class GA_Publisher(object): | |
def __init__(self, **kwargs): | def __init__(self, **kwargs): |
for k,v in kwargs.items(): | for k,v in kwargs.items(): |
setattr(self, k, v) | setattr(self, k, v) |
metadata = MetaData() | metadata = MetaData() |
url_table = Table('ga_url', metadata, | url_table = Table('ga_url', metadata, |
Column('id', types.UnicodeText, primary_key=True, | Column('id', types.UnicodeText, primary_key=True, |
default=make_uuid), | default=make_uuid), |
Column('period_name', types.UnicodeText), | Column('period_name', types.UnicodeText), |
Column('period_complete_day', types.Integer), | Column('period_complete_day', types.Integer), |
Column('visits', types.Integer), | Column('pageviews', types.UnicodeText), |
Column('visitors', types.UnicodeText), | |
Column('url', types.UnicodeText), | Column('url', types.UnicodeText), |
Column('next_page', types.UnicodeText), | Column('department_id', types.UnicodeText), |
) | ) |
mapper(GA_Url, url_table) | mapper(GA_Url, url_table) |
stat_table = Table('ga_stat', metadata, | |
Column('id', types.UnicodeText, primary_key=True, | |
default=make_uuid), | |
Column('period_name', types.UnicodeText), | |
Column('stat_name', types.UnicodeText), | |
Column('key', types.UnicodeText), | |
Column('value', types.UnicodeText), ) | |
mapper(GA_Stat, stat_table) | |
pub_table = Table('ga_publisher', metadata, | |
Column('id', types.UnicodeText, primary_key=True, | |
default=make_uuid), | |
Column('period_name', types.UnicodeText), | |
Column('publisher_name', types.UnicodeText), | |
Column('views', types.UnicodeText), | |
Column('visitors', types.UnicodeText), | |
Column('toplevel', types.Boolean, default=False), | |
Column('subpublishercount', types.Integer, default=0), | |
Column('parent', types.UnicodeText), | |
) | |
mapper(GA_Publisher, pub_table) | |
def init_tables(): | def init_tables(): |
metadata.create_all(model.meta.engine) | metadata.create_all(model.meta.engine) |
cached_tables = {} | cached_tables = {} |
def get_table(name): | def get_table(name): |
if name not in cached_tables: | if name not in cached_tables: |
meta = MetaData() | meta = MetaData() |
meta.reflect(bind=model.meta.engine) | meta.reflect(bind=model.meta.engine) |
table = meta.tables[name] | table = meta.tables[name] |
cached_tables[name] = table | cached_tables[name] = table |
return cached_tables[name] | return cached_tables[name] |
def _normalize_url(url): | def _normalize_url(url): |
'''Strip off the hostname etc. Do this before storing it. | '''Strip off the hostname etc. Do this before storing it. |
>>> normalize_url('http://data.gov.uk/dataset/weekly_fuel_prices') | >>> normalize_url('http://data.gov.uk/dataset/weekly_fuel_prices') |
'/dataset/weekly_fuel_prices' | '/dataset/weekly_fuel_prices' |
''' | ''' |
url = re.sub('https?://(www\.)?data.gov.uk', '', url) | url = re.sub('https?://(www\.)?data.gov.uk', '', url) |
return url | return url |
def _get_department_id_of_url(url): | def _get_department_id_of_url(url): |
# e.g. /dataset/fuel_prices | # e.g. /dataset/fuel_prices |
# e.g. /dataset/fuel_prices/resource/e63380d4 | # e.g. /dataset/fuel_prices/resource/e63380d4 |
dataset_match = re.match('/dataset/([^/]+)(/.*)?', url) | dataset_match = re.match('/dataset/([^/]+)(/.*)?', url) |
if dataset_match: | if dataset_match: |
dataset_ref = dataset_match.groups()[0] | dataset_ref = dataset_match.groups()[0] |
dataset = model.Package.get(dataset_ref) | dataset = model.Package.get(dataset_ref) |
if dataset: | if dataset: |
publisher_groups = dataset.get_groups('publisher') | publisher_groups = dataset.get_groups('publisher') |
if publisher_groups: | if publisher_groups: |
return publisher_groups[0].id | return publisher_groups[0].name |
else: | |
publisher_match = re.match('/publisher/([^/]+)(/.*)?', url) | |
if publisher_match: | |
return publisher_match.groups()[0] | |
def update_sitewide_stats(period_name, stat_name, data): | |
for k,v in data.iteritems(): | |
item = model.Session.query(GA_Stat).\ | |
filter(GA_Stat.period_name==period_name).\ | |
filter(GA_Stat.key==k).\ | |
filter(GA_Stat.stat_name==stat_name).first() | |
if item: | |
item.period_name = period_name | |
item.key = k | |
item.value = v | |
model.Session.add(item) | |
else: | |
# create the row | |
values = {'id': make_uuid(), | |
'period_name': period_name, | |
'key': k, | |
'value': v, | |
'stat_name': stat_name | |
} | |
model.Session.add(GA_Stat(**values)) | |
model.Session.commit() | |
def update_url_stats(period_name, period_complete_day, url_data): | def update_url_stats(period_name, period_complete_day, url_data): |
table = get_table('ga_url') | for url, views, visitors in url_data: |
for url, views, next_page in url_data: | |
url = _normalize_url(url) | url = _normalize_url(url) |
department_id = _get_department_id_of_url(url) | department_id = _get_department_id_of_url(url) |
# see if the row for this url & month is in the table already | # see if the row for this url & month is in the table already |
item = model.Session.query(GA_Url).filter(GA_Url.period_name==period_name).filter(GA_Url.url==url).first() | item = model.Session.query(GA_Url).\ |
filter(GA_Url.period_name==period_name).\ | |
filter(GA_Url.url==url).first() | |
if item: | if item: |
item.period_name = period_complete_day=period_complete_day | item.period_name = period_name |
item.views = views | item.pageviews = views |
item.visitors = visitors | |
item.department_id = department_id | item.department_id = department_id |
item.next_page = next_page | |
model.Session.add(item) | model.Session.add(item) |
else: | else: |
# create the row | # create the row |
values = {'id': make_uuid(), | values = {'id': make_uuid(), |
'period_name': period_name, | 'period_name': period_name, |
'period_complete_day': period_complete_day, | 'period_complete_day': period_complete_day, |
'url': url, | 'url': url, |
'views': views, | 'pageviews': views, |
'department_id': department_id, | 'visitors': visitors, |
'next_page': next_page} | 'department_id': department_id |
obj = GA_Url(**values) | } |
model.Session.add(obj) | model.Session.add(GA_Url(**values)) |
model.Session.commit() | model.Session.commit() |
def update_publisher_stats(period_name): | |
""" | |
Updates the publisher stats from the data retrieved for /dataset/* | |
and /publisher/*. Will run against each dataset and generates the | |
totals for the entire tree beneath each publisher. | |
""" | |
toplevel = get_top_level() | |
publishers = model.Session.query(model.Group).\ | |
filter(model.Group.type=='publisher').\ | |
filter(model.Group.state=='active').all() | |
for publisher in publishers: | |
views, visitors, subpub = update_publisher(period_name, publisher, publisher.name) | |
parent, parents = '', publisher.get_groups('publisher') | |
if parents: | |
parent = parents[0].name | |
item = model.Session.query(GA_Publisher).\ | |
filter(GA_Publisher.period_name==period_name).\ | |
filter(GA_Publisher.publisher_name==publisher.name).first() | |
if item: | |
item.views = views | |
item.visitors = visitors | |
item.publisher_name = publisher.name | |
item.toplevel = publisher in toplevel | |
item.subpublishercount = subpub | |
item.parent = parent | |
model.Session.add(item) | |
else: | |
# create the row | |
values = {'id': make_uuid(), | |
'period_name': period_name, | |
'publisher_name': publisher.name, | |
'views': views, | |
'visitors': visitors, | |
'toplevel': publisher in toplevel, | |
'subpublishercount': subpub, | |
'parent': parent | |
} | |
model.Session.add(GA_Publisher(**values)) | |
model.Session.commit() | |
def update_publisher(period_name, pub, part=''): | |
views,visitors,subpub = 0, 0, 0 | |
for publisher in go_down_tree(pub): | |
subpub = subpub + 1 | |
items = model.Session.query(GA_Url).\ | |
filter(GA_Url.period_name==period_name).\ | |
filter(GA_Url.department_id==publisher.name).all() | |
for item in items: | |
views = views + int(item.pageviews) | |
visitors = visitors + int(item.visitors) | |
return views, visitors, (subpub-1) | |
def get_top_level(): | |
'''Returns the top level publishers.''' | |
return model.Session.query(model.Group).\ | |
outerjoin(model.Member, model.Member.table_id == model.Group.id and \ | |
model.Member.table_name == 'group' and \ | |
model.Member.state == 'active').\ | |
filter(model.Member.id==None).\ | |
filter(model.Group.type=='publisher').\ | |
order_by(model.Group.name).all() | |
def get_children(publisher): | |
'''Finds child publishers for the given publisher (object). (Not recursive)''' | |
from ckan.model.group import HIERARCHY_CTE | |
return model.Session.query(model.Group).\ | |
from_statement(HIERARCHY_CTE).params(id=publisher.id, type='publisher').\ | |
all() | |
def go_down_tree(publisher): | |
'''Provided with a publisher object, it walks down the hierarchy and yields each publisher, | |
including the one you supply.''' | |
yield publisher | |
for child in get_children(publisher): | |
for grandchild in go_down_tree(child): | |
yield grandchild | |
import logging | import logging |
import ckan.lib.helpers as h | import ckan.lib.helpers as h |
import ckan.plugins as p | |
from ckan.plugins import implements, toolkit | from ckan.plugins import implements, toolkit |
import gasnippet | #import gasnippet |
import commands | #import commands |
import dbutil | #import dbutil |
log = logging.getLogger('ckanext.ga-report') | log = logging.getLogger('ckanext.ga-report') |
class GoogleAnalyticsPlugin(p.SingletonPlugin): | class GAReportPlugin(p.SingletonPlugin): |
implements(p.IConfigurer, inherit=True) | implements(p.IConfigurer, inherit=True) |
implements(p.IRoutes, inherit=True) | implements(p.IRoutes, inherit=True) |
def update_config(self, config): | def update_config(self, config): |
toolkit.add_template_directory(config, 'templates') | toolkit.add_template_directory(config, 'templates') |
toolkit.add_public_directory(config, 'public') | toolkit.add_public_directory(config, 'public') |
def after_map(self, map): | def after_map(self, map): |
map.connect( | map.connect( |
'/data/analytics/index', | '/data/analytics/publisher', |
controller='ckanext.ga-report.controller:GaReport', | controller='ckanext.ga_report.controller:GaPublisherReport', |
action='index' | action='index' |
) | |
map.connect( | |
'/data/analytics/publisher/{id}', | |
controller='ckanext.ga_report.controller:GaPublisherReport', | |
action='read' | |
) | |
map.connect( | |
'/data/analytics', | |
controller='ckanext.ga_report.controller:GaReport', | |
action='index' | |
) | |
map.connect( | |
'/data/analytics/data_{month}.csv', | |
controller='ckanext.ga_report.controller:GaReport', | |
action='csv' | |
) | ) |
return map | return map |
<html xmlns:py="http://genshi.edgewall.org/" | |
xmlns:i18n="http://genshi.edgewall.org/i18n" | |
xmlns:xi="http://www.w3.org/2001/XInclude" | |
py:strip=""> | |
<py:def function="page_title">Publisher Analytics for ${g.site_title}</py:def> | |
<py:match path="primarysidebar"> | |
<li class="widget-container boxed widget_text"> | |
<h4>Publishers</h4> | |
<p>The table shows the top 20 publishers as recorded by page views of datasets owned by that publisher, and the number of visits to each publisher's home page.</p> | |
</li> | |
</py:match> | |
<div py:match="content"> | |
<h1>Publisher Analytics</h1> | |
<h2>The top 20 publishers</h2> | |
<form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport',action='index')}" method="get"> | |
<div class="controls"> | |
<select name="month"> | |
<py:for each="val,desc in c.months"> | |
<option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option> | |
</py:for> | |
</select> | |
<input class="btn button" type='submit' value="Update"/> | |
</div> | |
</form> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Publisher</th> | |
<th>Dataset Views</th> | |
<th>Visits</th> | |
</tr> | |
<py:for each="publisher, views, visits in c.top_publishers"> | |
<tr> | |
<td>${h.link_to(publisher.title, h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport', action='read', id=publisher.name))} | |
</td> | |
<td>${views}</td> | |
<td>${visits}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
<xi:include href="../../layout.html" /> | |
<py:def function="optional_footer"> | |
<script type='text/javascript'> | |
$('.nav-tabs li a').click(function (e) { | |
e.preventDefault(); | |
$(this).tab('show'); | |
}) | |
</script> | |
</py:def> | |
</html> | |
<html xmlns:py="http://genshi.edgewall.org/" | |
xmlns:i18n="http://genshi.edgewall.org/i18n" | |
xmlns:xi="http://www.w3.org/2001/XInclude" | |
py:strip=""> | |
<py:def function="page_title">Analytics for ${g.site_title}</py:def> | |
<py:match path="primarysidebar"> | |
<li class="widget-container boxed widget_text"> | |
<h4>${c.publisher.title}</h4> | |
<p> | |
The table shows the top 20 most viewed datasets belonging to ${c.publisher.title}. | |
</p> | |
<p> | |
As well as showing the number of views within ${c.month_desc}, it will also show the | |
number of visitors that viewed each dataset. | |
</p> | |
<p>The dataset list page for <a href="${h.url_for(controller='ckanext.dgu.controllers.publisher:PublisherController', action='read', id=c.publisher.name)}">${c.publisher.title}</a> was viewed ${c.publisher_page_views} times during ${c.month_desc}</p> | |
<p>View the <a href="${h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport', action='index')}">publishers</a> leaderboard</p> | |
</li> | |
</py:match> | |
<div py:match="content"> | |
<h1>Analytics for ${c.publisher.title}</h1> | |
<h2>Top 20 most viewed datasets</h2> | |
<p><em>Note: this data does not include API calls</em></p> | |
<form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaPublisherReport',action='read',id=c.publisher.name)}" method="get"> | |
<div class="controls"> | |
<select name="month"> | |
<py:for each="val,desc in c.months"> | |
<option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option> | |
</py:for> | |
</select> | |
<input class="btn button" type='submit' value="Update"/> | |
</div> | |
</form> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Dataset</th> | |
<th>Views</th> | |
<th>Visits</th> | |
</tr> | |
<py:for each="package, views, visits in c.top_packages"> | |
<tr> | |
<td>${h.link_to(package.title or package.name, h.url_for(controller='package', action='read', id=package.name))} | |
</td> | |
<td>${views}</td> | |
<td>${visits}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
<xi:include href="../../layout.html" /> | |
</html> | |
<html xmlns:py="http://genshi.edgewall.org/" | |
xmlns:i18n="http://genshi.edgewall.org/i18n" | |
xmlns:xi="http://www.w3.org/2001/XInclude" | |
py:strip=""> | |
<py:def function="page_title">Site analytics</py:def> | |
<py:match path="primarysidebar"> | |
<li class="widget-container boxed widget_text"> | |
<h4>Statistics</h4> | |
<p>It is possible to <a href="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='csv',month=c.month)}">export the analytics data</a> as a CSV file, which contains all of the information for ${c.month_desc}</p> | |
</li> | |
</py:match> | |
<div py:match="content"> | |
<h1>Site statistics</h1> | |
<form class="form-inline" action="${h.url_for(controller='ckanext.ga_report.controller:GaReport',action='index')}" method="get"> | |
<div class="controls"> | |
<select name="month"> | |
<py:for each="val,desc in c.months"> | |
<option value='${val}' py:attrs="{'selected': 'selected' if c.month == val else None}">${desc}</option> | |
</py:for> | |
</select> | |
<input class="btn button" type='submit' value="Update"/> | |
</div> | |
</form> | |
<div class="tabbable"> | |
<ul class="nav nav-tabs"> | |
<li class="active"><a href="#totals" data-toggle="tab">Totals</a></li> | |
<li><a href="#browsers" data-toggle="tab">Browsers</a></li> | |
<li><a href="#os" data-toggle="tab">Operating Systems</a></li> | |
<li><a href="#social_networks" data-toggle="tab">Social Networks</a></li> | |
<li><a href="#languages" data-toggle="tab">Languages</a></li> | |
<li><a href="#country" data-toggle="tab">Country</a></li> | |
</ul> | |
<div class="tab-content"> | |
<div class="tab-pane active" id="totals"> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Name</th> | |
<th>Value</th> | |
</tr> | |
<py:for each="name, value in c.global_totals"> | |
<tr> | |
<td>${name}</td> | |
<td>${value}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
<div class="tab-pane" id="browsers"> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Name</th> | |
<th>Value</th> | |
</tr> | |
<py:for each="name, value in c.browsers"> | |
<tr> | |
<td>${name}</td> | |
<td>${value}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
<div class="tab-pane" id="os"> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Name</th> | |
<th>Value</th> | |
</tr> | |
<py:for each="name, value in c.os"> | |
<tr> | |
<td>${name}</td> | |
<td>${value}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
<div class="tab-pane" id="social_networks"> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Name</th> | |
<th>Value</th> | |
</tr> | |
<py:for each="name, value in c.social_networks"> | |
<tr> | |
<td>${name}</td> | |
<td>${value}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
<div class="tab-pane" id="languages"> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Name</th> | |
<th>Value</th> | |
</tr> | |
<py:for each="name, value in c.languages"> | |
<tr> | |
<td>${name}</td> | |
<td>${value}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
<div class="tab-pane" id="country"> | |
<table class="table table-condensed table-bordered table-striped"> | |
<tr> | |
<th>Name</th> | |
<th>Value</th> | |
</tr> | |
<py:for each="name, value in c.country"> | |
<tr> | |
<td>${name}</td> | |
<td>${value}</td> | |
</tr> | |
</py:for> | |
</table> | |
</div> | |
</div> | |
</div> | |
</div> | |
<xi:include href="../../layout.html" /> | |
<py:def function="optional_footer"> | |
<script type='text/javascript'> | |
$('.nav-tabs li a').click(function (e) { | |
e.preventDefault(); | |
$(this).tab('show'); | |
}) | |
</script> | |
</py:def> | |
</html> | |
import os | |
import datetime | |
from nose.tools import assert_equal | |
from ckanext.ga_report.download_analytics import DownloadAnalytics | |
from ckanext.ga_report.ga_auth import (init_service, get_profile_id) | |
from ckanext.ga_report.ga_model import init_tables | |
class TestAPI: | |
@classmethod | |
def setup_class(cls): | |
if not os.path.exists("token.dat") or not os.path.exists("credentials.json"): | |
print '*' * 60 | |
print "Tests may not run without first having run the auth process" | |
print '*' * 60 | |
init_tables() | |
@classmethod | |
def teardown_class(cls): | |
pass | |
def test_latest(self): | |
svc = init_service("token.dat", "credentials.json") | |
try: | |
downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc)) | |
downloader.latest() | |
except Exception as e: | |
assert False, e | |
def test_since(self): | |
svc = init_service("token.dat", "credentials.json") | |
downloader = DownloadAnalytics(svc, profile_id=get_profile_id(svc)) | |
try: | |
downloader.for_date(datetime.datetime.now() - datetime.timedelta(days=-30)) | |
except Exception as e: | |
assert False, e | |
from setuptools import setup, find_packages | from setuptools import setup, find_packages |
import sys, os | import sys, os |
version = '0.1' | version = '0.1' |
setup( | setup( |
name='ckanext-ga-report', | name='ckanext-ga-report', |
version=version, | version=version, |
description="GA reporting for CKAN", | description="GA reporting for CKAN", |
long_description="""\ | long_description="""\ |
""", | """, |
classifiers=[], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers | classifiers=[], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers |
keywords='', | keywords='', |
author='David Read', | author='David Read', |
author_email='david.read@hackneyworkshop.com', | author_email='david.read@hackneyworkshop.com', |
url='', | url='', |
license='', | license='', |
packages=find_packages(exclude=['ez_setup', 'examples', 'tests']), | packages=find_packages(exclude=['ez_setup', 'examples', 'tests']), |
namespace_packages=['ckanext', 'ckanext.ga_report'], | namespace_packages=['ckanext', 'ckanext.ga_report'], |
include_package_data=True, | include_package_data=True, |
zip_safe=False, | zip_safe=False, |
install_requires=[ | install_requires=[ |
'gdata', | 'gdata', |
'google-api-python-client' | 'google-api-python-client' |
], | ], |
entry_points=\ | entry_points=\ |
""" | """ |
[ckan.plugins] | [ckan.plugins] |
# Add plugins here, eg | # Add plugins here, eg |
ga-report=ckanext.ga_report.plugin:GaReportPlugin | ga-report=ckanext.ga_report.plugin:GAReportPlugin |
[paste.paster_command] | [paste.paster_command] |
loadanalytics = ckanext.ga_report.command:LoadAnalytics | loadanalytics = ckanext.ga_report.command:LoadAnalytics |
initdb = ckanext.ga_report.command:InitDB | initdb = ckanext.ga_report.command:InitDB |
getauthtoken = ckanext.ga_report.command:GetAuthToken | |
""", | """, |
) | ) |