c.commit_data = self.__get_commit_stats(c.repo_info)

        return render('summary/summary.html')

    def __get_commit_stats(self, repo):

        aggregate = OrderedDict()

        #graph range

        td = datetime.today() + timedelta(days=1) 

        y = td.year

        m = td.month

        d = td.day

        c.ts_min = mktime((y, (td - timedelta(days=calendar.mdays[m] - 1)).month,

                            d, 0, 0, 0, 0, 0, 0,))

        c.ts_max = mktime((y, m, d, 0, 0, 0, 0, 0, 0,))

        def author_key_cleaner(k):

            k = person(k)

            k = k.replace('"', "'") #for js data compatibilty

            return k

            k = '%s-%s-%s' % (cs.date.timetuple()[0], cs.date.timetuple()[1],

                              cs.date.timetuple()[2])

            timetupple = [int(x) for x in k.split('-')]

            timetupple.extend([0 for _ in xrange(6)])

            k = mktime(timetupple)

            if aggregate.has_key(author_key_cleaner(cs.author)):

                if aggregate[author_key_cleaner(cs.author)].has_key(k):

                    aggregate[author_key_cleaner(cs.author)][k]["commits"] += 1

                    aggregate[author_key_cleaner(cs.author)][k]["added"] += len(cs.added)

                    aggregate[author_key_cleaner(cs.author)][k]["changed"] += len(cs.changed)

                    aggregate[author_key_cleaner(cs.author)][k]["removed"] += len(cs.removed)

                else:

                    #aggregate[author_key_cleaner(cs.author)].update(dates_range)

                    if k >= c.ts_min and k <= c.ts_max:

                        aggregate[author_key_cleaner(cs.author)][k] = {}

                        aggregate[author_key_cleaner(cs.author)][k]["commits"] = 1

                        aggregate[author_key_cleaner(cs.author)][k]["added"] = len(cs.added)

                        aggregate[author_key_cleaner(cs.author)][k]["changed"] = len(cs.changed)

                        aggregate[author_key_cleaner(cs.author)][k]["removed"] = len(cs.removed) 

            else:

                if k >= c.ts_min and k <= c.ts_max:

                    aggregate[author_key_cleaner(cs.author)] = OrderedDict()