import re
import csv
import sys
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)
&nb