Added new method to get a recent score for a dataset
[ckanext-ga-report.git] / ckanext / ga_report / controller.py
Ross Jones
Ross Jones

David Read
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Ross Jones
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David Read


Ross Jones
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David Read
Ross Jones
Ross Jones
Ross Jones
Ross Jones
Ross Jones


David Read
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
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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








David Read
Ross Jones




Ross Jones

Ross Jones



Ross Jones
Ross Jones
Ross Jones


David Read
Ross Jones
David Read

Ross Jones
David Read





Ross Jones
Ross Jones
Ross Jones

David Read
Ross Jones
David Read
Ross Jones
David Read
Ross Jones



David Read


Ross Jones
David Read







Ross Jones


Ross Jones
David Read
Ross Jones

David Read
Ross Jones


David Read
Ross Jones



David Read

Ross Jones
Ross Jones




Ross Jones
Ross Jones
Ross Jones

Ross Jones
David Read
Ross Jones

David Read

Ross Jones


Ross Jones



David Read


Ross Jones
Ross Jones
Ross Jones


Ross Jones
Ross Jones

Ross Jones
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import re
import logging
import operator
import collections
from ckan.lib.base import BaseController, c, 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
 
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):
 
    def csv(self, month):
        import csv
 
        q = model.Session.query(GA_Stat)
        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"
 
        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 = _month_details(GA_Stat)
 
        # Work out which month to show, based on query params of the first item
        c.month_desc = 'all time'
        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', 'Percent new visits']:
                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)
                key = '%s *' % key
            if key in ['Bounces', 'Total pageviews']:
                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 ['Bounces', 'Total pageviews']:
                    v = sum(v)
                else:
                    v = float(sum(v))/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': 'browsers',