Moved minor nav into util file and implemented
[ckanext-ga-report.git] / ckanext / ga_report / controller.py
Ross Jones
David Read
Ross Jones
Ross Jones
Ross Jones
Ross Jones
Ross Jones

Ross Jones
Ross Jones
David Read


Ross Jones
Ross Jones
Ross Jones

Ross Jones
Ross Jones






Ross Jones
Ross Jones


David Read
Ross Jones
Ross Jones


Ross Jones



Ross Jones











David Read
Ross Jones





Ross Jones

Ross Jones

Ross Jones
Ross Jones




Ross Jones
Ross Jones






Ross Jones



Ross Jones
Ross Jones
















Ross Jones








Ross Jones
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Ross Jones

Ross Jones



Ross Jones




Ross Jones
Ross Jones
Ross Jones




Ross Jones



Ross Jones
Ross Jones



Ross Jones








Ross Jones



Ross Jones

Ross Jones
Ross Jones


Ross Jones
Ross Jones
Ross Jones
Ross Jones
Ross Jones
Ross Jones
Ross Jones
Ross Jones
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Ross Jones
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Ross Jones
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import re
import csv
import sys
import logging
import operator
import collections
from ckan.lib.base import (BaseController, c, g, render, request, response, abort)
 
import sqlalchemy
from sqlalchemy import func, cast, Integer
import ckan.model as model
from ga_model import GA_Url, GA_Stat, GA_ReferralStat, GA_Publisher
 
log = logging.getLogger('ckanext.ga-report')
 
DOWNLOADS_AVAILABLE_FROM = '2012-12'
 
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, stat_key=None):
    '''
    Returns a list of all the periods for which we have data, unfortunately
    knows too much about the type of the cls being passed as GA_Url has a
    more complex query
 
    This may need extending if we add a period_name to the stats
    '''
    months = []
    day = None
 
    q = model.Session.query(cls.period_name,cls.period_complete_day)\
        .filter(cls.period_name!='All').distinct(cls.period_name)
    if stat_key:
        q=  q.filter(cls.stat_name==stat_key)
 
    vals = q.order_by("period_name desc").all()
 
    if vals and vals[0][1]:
        day = int(vals[0][1])
        ordinal = 'th' if 11 <= day <= 13 \
            else {1:'st',2:'nd',3:'rd'}.get(day % 10, 'th')
        day = "{day}{ordinal}".format(day=day, ordinal=ordinal)
 
    for m in vals:
        months.append( (m[0], _get_month_name(m[0])))
 
    return months, day
 
 
class GaReport(BaseController):
 
    def csv(self, month):
        import csv
 
        q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name!='Downloads')
        if month != 'all':
            q = q.filter(GA_Stat.period_name==month)
        entries = q.order_by('GA_Stat.period_name, GA_Stat.stat_name, GA_Stat.key').all()
 
        response.headers['Content-Type'] = "text/csv; charset=utf-8"
        response.headers['Content-Disposition'] = str('attachment; filename=stats_%s.csv' % (month,))
 
        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):
 
        # Get the month details by fetching distinct values and determining the
        # month names from the values.
        c.months, c.day = _month_details(GA_Stat)
 
        # Work out which month to show, based on query params of the first item
        c.month_desc = 'all months'
        c.month = request.params.get('month', '')
        if c.month:
            c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
 
        q = model.Session.query(GA_Stat).\
            filter(GA_Stat.stat_name=='Totals')
        if c.month:
            q = q.filter(GA_Stat.period_name==c.month)
        entries = q.order_by('ga_stat.key').all()
 
        def clean_key(key, val):
            if key in ['Average time on site', 'Pages per visit', 'New visits', 'Bounce rate (home page)']:
                val =  "%.2f" % round(float(val), 2)
                if key == 'Average time on site':
                    mins, secs = divmod(float(val), 60)
                    hours, mins = divmod(mins, 60)
                    val = '%02d:%02d:%02d (%s seconds) ' % (hours, mins, secs, val)
                if key in ['New visits','Bounce rate (home page)']:
                    val = "%s%%" % val
            if key in ['Total page views', 'Total visits']:
                val = int(val)
 
            return key, val
 
        # Query historic values for sparkline rendering
        graph_query = model.Session.query(GA_Stat)\
                .filter(GA_Stat.stat_name=='Totals')\
                .order_by(GA_Stat.period_name)
        graph_data = {}
        for x in graph_query:
            graph_data[x.key] = graph_data.get(x.key,[])
            key, val = clean_key(x.key,float(x.value))
            tooltip = '%s: %s' % (_get_month_name(x.period_name), val)
            graph_data[x.key].append( (tooltip,x.value) )
        # Trim the latest month, as it looks like a huge dropoff
        for key in graph_data:
            graph_data[key] = graph_data[key][:-1]
 
        c.global_totals = []
        if c.month:
            for e in entries:
                key, val = clean_key(e.key, e.value)
                sparkline = graph_data[e.key]
                c.global_totals.append((key, val, sparkline))
        else:
            d = collections.defaultdict(list)
            for e in entries:
                d[e.key].append(float(e.value))
            for k, v in d.iteritems():
                if k in ['Total page views', 'Total visits']:
                    v = sum(v)
                else:
                    v = float(sum(v))/float(len(v))
                sparkline = graph_data[k]
                key, val = clean_key(k,v)
 
                c.global_totals.append((key, val, sparkline))
                c.global_totals = sorted(c.global_totals, key=operator.itemgetter(0))
 
        keys = {
            'Browser versions': 'browser_versions',
            'Browsers': 'browsers',
            'Operating Systems versions': 'os_versions',
            'Operating Systems': 'os',
            'Social sources': 'social_networks',
            'Languages': 'languages',
            'Country': 'country'
        }
 
        def shorten_name(name, length=60):
            return (name[:length] + '..') if len(name) > 60 else name
 
        def fill_out_url(url):
            import urlparse
            return urlparse.urljoin(g.site_url, url)
 
        c.social_referrer_totals, c.social_referrers = [], []
        q = model.Session.query(GA_ReferralStat)
        q = q.filter(GA_ReferralStat.period_name==c.month) if c.month else q
        q = q.order_by('ga_referrer.count::int desc')
        for entry in q.all():
            c.social_referrers.append((shorten_name(entry.url), fill_out_url(entry.url),
                                       entry.source,entry.count))
 
        q = model.Session.query(GA_ReferralStat.url,
                                func.sum(GA_ReferralStat.count).label('count'))
        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)
        for entry in q.all():
            c.social_referrer_totals.append((shorten_name(entry[0]), fill_out_url(entry