import re |
import re |
import csv |
import csv |
import sys |
import sys |
|
import json |
import logging |
import logging |
import operator |
import operator |
import collections |
import collections |
from ckan.lib.base import BaseController, c, render, request, response, abort |
from ckan.lib.base import (BaseController, c, g, render, request, response, abort) |
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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 |
from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher |
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log = logging.getLogger('ckanext.ga-report') |
log = logging.getLogger('ckanext.ga-report') |
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DOWNLOADS_AVAILABLE_FROM = '2012-12' |
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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) |
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def _get_unix_epoch(strdate): |
def _month_details(cls): |
from time import strptime,mktime |
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d = strptime(strdate, '%Y-%m') |
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return int(mktime(d)) |
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def _month_details(cls, stat_key=None): |
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''' |
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Returns a list of all the periods for which we have data, unfortunately |
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knows too much about the type of the cls being passed as GA_Url has a |
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more complex query |
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This may need extending if we add a period_name to the stats |
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''' |
months = [] |
months = [] |
vals = model.Session.query(cls.period_name).distinct().all() |
day = None |
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q = model.Session.query(cls.period_name,cls.period_complete_day)\ |
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.filter(cls.period_name!='All').distinct(cls.period_name) |
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if stat_key: |
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q= q.filter(cls.stat_name==stat_key) |
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vals = q.order_by("period_name desc").all() |
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if vals and vals[0][1]: |
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day = int(vals[0][1]) |
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ordinal = 'th' if 11 <= day <= 13 \ |
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else {1:'st',2:'nd',3:'rd'}.get(day % 10, 'th') |
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day = "{day}{ordinal}".format(day=day, ordinal=ordinal) |
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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) |
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return months, day |
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class GaReport(BaseController): |
class GaReport(BaseController): |
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def csv(self, month): |
def csv(self, month): |
import csv |
import csv |
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q = model.Session.query(GA_Stat) |
q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name!='Downloads') |
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() |
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response.headers['Content-Type'] = "text/csv; charset=utf-8" |
response.headers['Content-Type'] = "text/csv; charset=utf-8" |
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response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,)) |
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writer = csv.writer(response) |
writer = csv.writer(response) |
writer.writerow(["Period", "Statistic", "Key", "Value"]) |
writer.writerow(["Period", "Statistic", "Key", "Value"]) |
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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')]) |
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def index(self): |
def index(self): |
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# 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, c.day = _month_details(GA_Stat) |
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# 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 time' |
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]) |
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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() |
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def clean_key(key, val): |
def clean_key(key, val): |
if key in ['Average time on site', 'Pages per visit', 'Percent new visits']: |
if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounce rate (home page)']: |
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) |
key = '%s *' % key |
if key in ['New visits','Bounce rate (home page)']: |
if key in ['Bounces', 'Total pageviews']: |
val = "%s%%" % val |
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if key in ['Total page views', 'Total visits']: |
val = int(val) |
val = int(val) |
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return key, val |
return key, val |
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# Query historic values for sparkline rendering |
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sparkline_query = model.Session.query(GA_Stat)\ |
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.filter(GA_Stat.stat_name=='Totals')\ |
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.order_by(GA_Stat.period_name) |
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sparkline_data = {} |
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for x in sparkline_query: |
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sparkline_data[x.key] = sparkline_data.get(x.key,[]) |
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key, val = clean_key(x.key,float(x.value)) |
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tooltip = '%s: %s' % (_get_month_name(x.period_name), val) |
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sparkline_data[x.key].append( (tooltip,x.value) ) |
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# Trim the latest month, as it looks like a huge dropoff |
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for key in sparkline_data: |
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sparkline_data[key] = sparkline_data[key][:-1] |
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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)) |
sparkline = sparkline_data[e.key] |
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c.global_totals.append((key, val, sparkline)) |
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 pageviews']: |
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))/float(len(v)) |
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sparkline = sparkline_data[k] |
key, val = clean_key(k,v) |
key, val = clean_key(k,v) |
c.global_totals.append((key, val)) |
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c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0)) |
c.global_totals.append((key, val, sparkline)) |
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# Sort the global totals into a more pleasant order |
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def sort_func(x): |
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key = x[0] |
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total_order = ['Total page views','Total visits','Pages per visit'] |
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if key in total_order: |
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return total_order.index(key) |
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return 999 |
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c.global_totals = sorted(c.global_totals, key=sort_func) |
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keys = { |
keys = { |
'Browser versions': 'browsers', |
'Browser versions': 'browser_versions', |
'Operating Systems versions': 'os', |
'Browsers': 'browsers', |
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'Operating Systems versions': 'os_versions', |
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'Operating Systems': 'os', |
'Social sources': 'social_networks', |
'Social sources': 'social_networks', |
'Languages': 'languages', |
'Languages': 'languages', |
'Country': 'country' |
'Country': 'country' |
} |
} |
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browser_version_re = re.compile("(.*)\((.*)\)") |
def shorten_name(name, length=60): |
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return (name[:length] + '..') if len(name) > 60 else name |
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def fill_out_url(url): |
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import urlparse |
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return urlparse.urljoin(g.site_url, url) |
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c.social_referrer_totals, c.social_referrers = [], [] |
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q = model.Session.query(GA_ReferralStat) |
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q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q |
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q = q.order_by('ga_referrer.count::int desc') |
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for entry in q.all(): |
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c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url), |
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entry.source,entry.count)) |
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q = model.Session.query(GA_ReferralStat.url, |
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func.sum(GA_ReferralStat.count).label('count')) |
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q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q |
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q = q.order_by('count desc').group_by(GA_ReferralStat.url) |
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for entry in q.all(): |
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c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry[0]),'', |
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entry[1])) |
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for k, v in keys.iteritems(): |
for k, v in keys.iteritems(): |
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def clean_field(key): |
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if k != 'Browser versions': |
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return key |
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m = browser_version_re.match(key) |
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browser = m.groups()[0].strip() |
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ver = m.groups()[1] |
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parts = ver.split('.') |
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if len(parts) > 1: |
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if parts[1][0] == '0': |
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ver = parts[0] |
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else: |
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ver = "%s.%s" % (parts[0],parts[1]) |
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if browser in ['Safari','Android Browser']: # Special case complex version nums |
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ver = parts[0] |
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if len(ver) > 2: |
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ver = "%s%sX" % (ver[0], ver[1]) |
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return "%s (%s)" % (browser, ver,) |
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q = model.Session.query(GA_Stat).\ |
q = model.Session.query(GA_Stat).\ |
filter(GA_Stat.stat_name==k) |
filter(GA_Stat.stat_name==k).\ |
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order_by(GA_Stat.period_name) |
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# Buffer the tabular data |
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') |
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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[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) |
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setattr(c, v, [(k,v) for k,v in entries ]) |
# Run a query on all months to gather graph data |
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graph_query = model.Session.query(GA_Stat).\ |
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filter(GA_Stat.stat_name==k).\ |
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order_by(GA_Stat.period_name) |
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graph_dict = {} |
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for stat in graph_query: |
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graph_dict[ stat.key ] = graph_dict.get(stat.key,{ |
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'name':stat.key, |
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'data': [] |
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}) |
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graph_dict[ stat.key ]['data'].append({ |
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'x':_get_unix_epoch(stat.period_name), |
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'y':float(stat.value) |
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}) |
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graph = [ graph_dict[x[0]] for x in entries ] |
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setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph,percentageMode=True) )) |
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# Get the total for each set of values and then set the value as |
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# a percentage of the total |
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if k == 'Social sources': |
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total = sum([x for n,x,graph in c.global_totals if n == 'Total visits']) |
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else: |
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total = sum([num for _,num in entries]) |
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setattr(c, v, [(k,_percent(v,total)) for k,v in entries ]) |
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return render('ga_report/site/index.html') |
return render('ga_report/site/index.html') |
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class GaPublisherReport(BaseController): |
class GaDatasetReport(BaseController): |
""" |
""" |
Displays the pageview and visit count for specific publishers based on |
Displays the pageview and visit count for datasets |
the datasets associated with the publisher. |
with options to filter by publisher and time period. |
""" |
""" |
def csv(self, month): |
def publisher_csv(self, month): |
#q = model.Session.query(GA_Stat) |
''' |
#if month != 'all': |
Returns a CSV of each publisher with the total number of dataset |
# q = q.filter(GA_Stat.period_name==month) |
views & visits. |
#entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all() |
''' |
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" |
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response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,)) |
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writer = csv.writer(response) |
writer = csv.writer(response) |
writer.writerow(["Publisher", "Views", "Visits", "Period Name"]) |
writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"]) |
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for publisher,view,visit in self._get_publishers(None): |
top_publishers, top_publishers_graph = _get_top_publishers(None) |
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for publisher,view,visit in top_publishers: |
writer.writerow([publisher.title.encode('utf-8'), |
writer.writerow([publisher.title.encode('utf-8'), |
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publisher.name.encode('utf-8'), |
view, |
view, |
visit, |
visit, |
month]) |
month]) |
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def dataset_csv(self, id='all', month='all'): |
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''' |
def publisher_csv(self, id, month): |
Returns a CSV with the number of views & visits for each dataset. |
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c.month = month if not month =='all' else '' |
:param id: A Publisher ID or None if you want for all |
c.publisher = model.Group.get(id) |
:param month: The time period, or 'all' |
if not c.publisher: |
''' |
abort(404, 'A publisher with that name could not be found') |
c.month = month if not month == 'all' else '' |
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if id != 'all': |
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c.publisher = model.Group.get(id) |
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if not c.publisher: |
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abort(404, 'A publisher with that name could not be found') |
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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" |
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response.headers['Content-Disposition'] = \ |
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str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,)) |
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writer = csv.writer(response) |
writer = csv.writer(response) |
writer.writerow(["Publisher", "Views", "Visits", "Period Name"]) |
writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Resource downloads", "Period Name"]) |
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for package,view,visit in packages: |
for package,view,visit,downloads in packages: |
writer.writerow([package.title.encode('utf-8'), |
writer.writerow([package.title.encode('utf-8'), |
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package.name.encode('utf-8'), |
view, |
view, |
visit, |
visit, |
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downloads, |
month]) |
month]) |
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def publishers(self): |
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'''A list of publishers and the number of views/visits for each''' |
def index(self): |
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# 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, c.day = _month_details(GA_Url) |
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# 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 time' |
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]) |
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c.top_publishers = self._get_publishers() |
c.top_publishers, graph_data = _get_top_publishers() |
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c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data) ) |
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return render('ga_report/publisher/index.html') |
return render('ga_report/publisher/index.html') |
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def _get_publishers(self, limit=20): |
def _get_packages(self, publisher=None, count=-1): |
connection = model.Session.connection() |
'''Returns the datasets in order of views''' |
q = """ |
have_download_data = True |
select department_id, sum(pageviews::int) views, sum(visitors::int) visits |
month = c.month or 'All' |
from ga_url |
if month != 'All': |
where department_id <> ''""" |
have_download_data = month >= DOWNLOADS_AVAILABLE_FROM |
if c.month: |
|
q = q + """ |
q = model.Session.query(GA_Url,model.Package)\ |
and period_name=%s |
.filter(model.Package.name==GA_Url.package_id)\ |
""" |
.filter(GA_Url.url.like('/dataset/%')) |
q = q + """ |
if publisher: |
group by department_id order by views desc |
q = q.filter(GA_Url.department_id==publisher.name) |
""" |
q = q.filter(GA_Url.period_name==month) |
if limit: |
q = q.order_by('ga_url.pageviews::int desc') |
q = q + " limit %s;" % (limit) |
top_packages = [] |
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# Add this back (before and period_name =%s) if you want to ignore publisher |
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# homepage views |
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# and not url like '/publisher/%%' |
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top_publishers = [] |
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res = connection.execute(q, c.month) |
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for row in res: |
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g = model.Group.get(row[0]) |
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if g: |
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top_publishers.append((g, row[1], row[2])) |
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return top_publishers |
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def _get_packages(self, publisher, count=-1): |
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if count == -1: |
if count == -1: |
count = sys.maxint |
entries = q.all() |
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top_packages = [] |
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q = model.Session.query(GA_Url).\ |
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filter(GA_Url.department_id==publisher.name).\ |
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filter(GA_Url.url.like('/dataset/%')) |
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if c.month: |
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q = q.filter(GA_Url.period_name==c.month) |
|
q = q.order_by('ga_url.pageviews::int desc') |
|
|
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if c.month: |
|
for entry in q[:count]: |
|
p = model.Package.get(entry.url[len('/dataset/'):]) |
|
top_packages.append((p,entry.pageviews,entry.visitors)) |
|
else: |
else: |
ds = {} |
entries = q.limit(count) |
for entry in q.all(): |
|
if len(ds) >= count: |
for entry,package in entries: |
break |
if package: |
p = model.Package.get(entry.url[len('/dataset/'):]) |
# Downloads .... |
if not p in ds: |
if have_download_data: |
ds[p] = {'views':0, 'visits': 0} |
dls = model.Session.query(GA_Stat).\ |
ds[p]['views'] = ds[p]['views'] + int(entry.pageviews) |
filter(GA_Stat.stat_name=='Downloads').\ |
ds[p]['visits'] = ds[p]['visits'] + int(entry.visitors) |
filter(GA_Stat.key==package.name) |
|
if month != 'All': # Fetch everything unless the month is specific |
results = [] |
dls = dls.filter(GA_Stat.period_name==month) |
for k, v in ds.iteritems(): |
downloads = 0 |
results.append((k,v['views'],v['visits'])) |
for x in dls: |
|
downloads += int(x.value) |
top_packages = sorted(results, key=operator.itemgetter(1), reverse=True) |
else: |
|
downloads = 'No data' |
|
top_packages.append((package, entry.pageviews, entry.visits, downloads)) |
|
else: |
|
log.warning('Could not find package associated package') |
|
|
return top_packages |
return top_packages |
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|
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def read(self): |
def read(self, id): |
''' |
|
Lists the most popular datasets across all publishers |
|
''' |
|
return self.read_publisher(None) |
|
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def read_publisher(self, id): |
|
''' |
|
Lists the most popular datasets for a publisher (or across all publishers) |
|
''' |
count = 20 |
count = 20 |
|
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c.publisher = model.Group.get(id) |
c.publishers = _get_publishers() |
if not c.publisher: |
|
abort(404, 'A publisher with that name could not be found') |
id = request.params.get('publisher', id) |
|
if id and id != 'all': |
|
c.publisher = model.Group.get(id) |
|
if not c.publisher: |
|
abort(404, 'A publisher with that name could not be found') |
|
c.publisher_name = c.publisher.name |
c.top_packages = [] # package, dataset_views in c.top_packages |
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, c.day = _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 time' |
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]) |
|
|
|
month = c.month or 'All' |
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: |
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: |
|
for e in q.all(): |
|
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) |
|
|
|
# Graph query |
|
top_package_names = [ x[0].name for x in c.top_packages ] |
|
graph_query = model.Session.query(GA_Url,model.Package)\ |
|
.filter(model.Package.name==GA_Url.package_id)\ |
|
.filter(GA_Url.url.like('/dataset/%'))\ |
|
.filter(GA_Url.package_id.in_(top_package_names)) |
|
graph_dict = {} |
|
for entry,package in graph_query: |
|
if not package: continue |
|
if entry.period_name=='All': continue |
|
graph_dict[package.name] = graph_dict.get(package.name,{ |
|
'name':package.title, |
|
'data':[] |
|
}) |
|
graph_dict[package.name]['data'].append({ |
|
'x':_get_unix_epoch(entry.period_name), |
|
'y':int(entry.pageviews), |
|
}) |
|
graph = [ graph_dict[x] for x in top_package_names ] |
|
|
|
c.graph_data = json.dumps( _to_rickshaw(graph) ) |
|
|
return render('ga_report/publisher/read.html') |
return render('ga_report/publisher/read.html') |
|
|
|
def _to_rickshaw(data, percentageMode=False): |
|
if data==[]: |
|
return data |
|
# Create a consistent x-axis between all series |
|
num_points = [ len(series['data']) for series in data ] |
|
ideal_index = num_points.index( max(num_points) ) |
|
x_axis = [ point['x'] for point in data[ideal_index]['data'] ] |
|
for series in data: |
|
xs = [ point['x'] for point in series['data'] ] |
|
assert set(xs).issubset( set(x_axis) ), (xs, x_axis) |
|
# Zero pad any missing values |
|
for x in set(x_axis).difference(set(xs)): |
|
series['data'].append( {'x':x, 'y':0} ) |
|
if percentageMode: |
|
def get_totals(series_list): |
|
totals = {} |
|
for series in series_list: |
|
for point in series['data']: |
|
totals[point['x']] = totals.get(point['x'],0) + point['y'] |
|
lengths = [ len(series['data']) for series in series_list ] |
|
assert len(set(lengths))==1 |
|
assert lengths[0] == len(totals) |
|
return totals |
|
# Transform data into percentage stacks |
|
totals = get_totals(data) |
|
# Roll insignificant series into a catch-all |
|
THRESHOLD = 0.01 |
|
raw_data = data |
|
data = [] |
|
for series in raw_data: |
|
for point in series['data']: |
|
fraction = float(point['y']) / totals[point['x']] |
|
if not (series in data) and fraction>THRESHOLD: |
|
data.append(series) |
|
# Overwrite data with a set of intereting series |
|
others = [ x for x in raw_data if not (x in data) ] |
|
data.append({ |
|
'name':'Other', |
|
'data': [ {'x':x,'y':y} for x,y in get_totals(others).items() ] |
|
}) |
|
# Turn each point into a percentage |
|
for series in data: |
|
for point in series['data']: |
|
point['y'] = (point['y']*100) / totals[point['x']] |
|
# Sort the points |
|
for series in data: |
|
series['data'] = sorted( series['data'], key=lambda x:x['x'] ) |
|
# Strip the latest month's incomplete analytics |
|
series['data'] = series['data'][:-1] |
|
return data |
|
|
|
|
|
def _get_top_publishers(limit=20): |
|
''' |
|
Returns a list of the top 20 publishers by dataset visits. |
|
(The number to show can be varied with 'limit') |
|
''' |
|
month = c.month or 'All' |
|
connection = model.Session.connection() |
|
q = """ |
|
select department_id, sum(pageviews::int) views, sum(visits::int) visits |
|
from ga_url |
|
where department_id <> '' |
|
and package_id <> '' |
|
and url like '/dataset/%%' |
|
and period_name=%s |
|
group by department_id order by views desc |
|
""" |
|
if limit: |
|
q = q + " limit %s;" % (limit) |
|
|
|
top_publishers = [] |
|
res = connection.execute(q, month) |
|
department_ids = [] |
|
for row in res: |
|
g = model.Group.get(row[0]) |
|
if g: |
|
department_ids.append(row[0]) |
|
top_publishers.append((g, row[1], row[2])) |
|
|
|
graph = [] |
|
if limit is not None: |
|
# Query for a history graph of these publishers |
|
q = model.Session.query( |
|
GA_Url.department_id, |
|
GA_Url.period_name, |
|
func.sum(cast(GA_Url.pageviews,sqlalchemy.types.INT)))\ |
|
.filter( GA_Url.department_id.in_(department_ids) )\ |
|
.filter( GA_Url.period_name!='All' )\ |
|
.filter( GA_Url.url.like('/dataset/%') )\ |
|
.filter( GA_Url.package_id!='' )\ |
|
.group_by( GA_Url.department_id, GA_Url.period_name ) |
|
graph_dict = {} |
|
for dept_id,period_name,views in q: |
|
graph_dict[dept_id] = graph_dict.get( dept_id, { |
|
'name' : model.Group.get(dept_id).title, |
|
'data' : [] |
|
}) |
|
graph_dict[dept_id]['data'].append({ |
|
'x': _get_unix_epoch(period_name), |
|
'y': views |
|
}) |
|
# Sort dict into ordered list |
|
for id in department_ids: |
|
graph.append( graph_dict[id] ) |
|
return top_publishers, graph |
|
|
|
|
|
def _get_publishers(): |
|
''' |
|
Returns a list of all publishers. Each item is a tuple: |
|
(name, title) |
|
''' |
|
publishers = [] |
|
for pub in model.Session.query(model.Group).\ |
|
filter(model.Group.type=='publisher').\ |
|
filter(model.Group.state=='active').\ |
|
order_by(model.Group.name): |
|
publishers.append((pub.name, pub.title)) |
|
return publishers |
|
|
|
def _percent(num, total): |
|
p = 100 * float(num)/float(total) |
|
return "%.2f%%" % round(p, 2) |
|
|