Stacked graphs with sane server-side data wrangling working. Percentage mode half-impemented.
[ckanext-ga-report.git] / ckanext / ga_report / controller.py
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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')
 
 
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):
    '''
    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
 
    vals = model.Session.query(cls.period_name,cls.period_complete_day)\
        .filter(cls.period_name!='All').distinct(cls.period_name)\
        .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 csv_downloads(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.key').all()
 
        response.headers['Content-Type'] = "text/csv; charset=utf-8"
        response.headers['Content-Disposition'] = str('attachment; filename=downloads_%s.csv' % (month,))
 
        writer = csv.writer(response)
        writer.writerow(["Period", "Resource URL", "Count"])
 
        for entry in entries:
            writer.writerow([entry.period_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
 
        c.global_totals = []
        if c.month:
            for e in entries:
                key, val = clean_key(e.key, e.value)
                c.global_totals.append((key, val))
        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))
                key, val = clean_key(k,v)
 
                c.global_totals.append((key, val))
                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[0]),'',
                                            entry[1]))
 
        for k, v in keys.iteritems():
            q = model.Session.query(GA_Stat).\
                filter(GA_Stat.stat_name==k)
            if c.month:
                entries = []
                q = q.filter(GA_Stat.period_name==c.month).\
                          order_by('ga_stat.value::int desc')
 
            d = collections.defaultdict(int)
            for e in q.all():
                d[e.key] += int(e.value)
            entries = []
            for key, val in d.iteritems():
                entries.append((key,val,))
            entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
 
            # Get the total for each set of values and then set the value as
            # a percentage of the total
            if k == 'Social sources':
                total = sum([x for n,x in c.global_totals if n == 'Total visits'])
            else:
                total = sum([num for _,num in entries])
            setattr(c, v, [(k,_percent(v,total)) for k,v in entries ])
 
        return render('ga_report/site/index.html')
 
    def downloads(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])
 
        c.downloads = []
        q = model.Session.query(GA_Stat).filter(GA_Stat.stat_name=='Downloads')
        q = q.filter(GA_Stat.period_name==c.month) if c.month else q
        q = q.order_by("ga_stat.value::int desc")
 
        data = collections.defaultdict(int)
        for entry in q.all():
            r = model.Session.query(model.Resource).filter(model.Resource.url==entry.key).first()
            if not r:
                continue
            data[r] += int(entry.value)
 
        c.downloads = [(k,v,) for k,v in data.iteritems()]
        c.downloads = sorted(c.downloads, key=operator.itemgetter(1), reverse=True)
 
        return render('ga_report/site/downloads.html')
 
 
class GaDatasetReport(BaseController):
    """
    Displays the pageview and visit count for datasets
    with options to filter by publisher and time period.
    """
    def publisher_csv(self, month):
        '''
        Returns a CSV of each publisher with the total number of dataset
        views & visits.
        '''
        c.month = month if not month == 'all' else ''
        response.headers['Content-Type'] = "text/csv; charset=utf-8"
        response.headers['Content-Disposition'] = str('attachment; filename=publishers_%s.csv' % (month,))
 
        writer = csv.writer(response)
        writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
 
        for publisher,view,visit in _get_top_publishers(None):
            writer.writerow([publisher.title.encode('utf-8'),
                             publisher.name.encode('utf-8'),
                             view,
                             visit,
                             month])
 
    def dataset_csv(self, id='all', month='all'):
        '''
        Returns a CSV with the number of views & visits for each dataset.
 
        :param id: A Publisher ID or None if you want for all
        :param month: The time period, or 'all'
        '''
        c.month = month if not month == 'all' else ''
        if id != 'all':
            c.publisher = model.Group.get(id)
            if not c.publisher:
                abort(404, 'A publisher with that name could not be found')
 
        packages = self._get_packages(c.publisher)
        response.headers['Content-Type'] = "text/csv; charset=utf-8"
        response.headers['Content-Disposition'] = \
            str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
 
        writer = csv.writer(response)
        writer.writerow(["Dataset Title", "Dataset Name", "Views", "Visits", "Period Name"])
 
        for package,view,visit in packages:
            writer.writerow([package.title.encode('utf-8'),
                             package.name.encode('utf-8'),
                             view,
                             visit,
                             month])
 
    def publishers(self):
        '''A list of publishers and the number of views/visits for each'''
 
        # Get the month details by fetching distinct values and determining the
        # month names from the values.
        c.months, c.day = _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.month_desc = 'all months'
        if c.month:
            c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
 
        c.top_publishers = _get_top_publishers()
        return render('ga_report/publisher/index.html')
 
    def _get_packages(self, publisher=None, count=-1):
        '''Returns the datasets in order of views'''
        if count == -1:
            count = sys.maxint
 
        month = c.month or 'All'
 
        q = model.Session.query(GA_Url,model.Package)\
            .filter(model.Package.name==GA_Url.package_id)\
            .filter(GA_Url.url.like('/dataset/%'))
        if publisher:
            q = q.filter(GA_Url.department_id==publisher.name)
        q = q.filter(GA_Url.period_name==month)
        q = q.order_by('ga_url.pageviews::int desc')
        top_packages = []
        for entry,package in q.limit(count):
            if package:
                top_packages.append((package, entry.pageviews