lock.release()

            return True

        skip_date_limit = True

        parse_limit = int(config['app_conf'].get('commit_parse_limit'))

        last_rev = None

        last_cs = None

        timegetter = itemgetter('time')

        dbrepo = DBS.query(Repository)\

            .filter(Repository.repo_name == repo_name).scalar()

        cur_stats = DBS.query(Statistics)\

            .filter(Statistics.repository == dbrepo).scalar()

        if cur_stats is not None:

            last_rev = cur_stats.stat_on_revision

        if last_rev == repo.get_changeset().revision and repo_size > 1:

            # pass silently without any work if we're not on first revision or

            # current state of parsing revision(from db marker) is the

            # last revision

            lock.release()

            return True

        if cur_stats:

            commits_by_day_aggregate = OrderedDict(json.loads(

                                        cur_stats.commit_activity_combined))

            co_day_auth_aggr = json.loads(cur_stats.commit_activity)

        log.debug('starting parsing %s' % parse_limit)

        lmktime = mktime

        last_rev = last_rev + 1 if last_rev >= 0 else 0

        log.debug('Getting revisions from %s to %s' % (

             last_rev, last_rev + parse_limit)

        )

        for cs in repo[last_rev:last_rev + parse_limit]:

            log.debug('parsing %s' % cs)

            last_cs = cs  # remember last parsed changeset

            k = lmktime([cs.date.timetuple()[0], cs.date.timetuple()[1],

                          cs.date.timetuple()[2], 0, 0, 0, 0, 0, 0])

            if akc(cs.author) in co_day_auth_aggr:

                try:

                    l = [timegetter(x) for x in

                         co_day_auth_aggr[akc(cs.author)]['data']]

                    time_pos = l.index(k)

                except ValueError:

                    datadict = \

                        co_day_auth_aggr[akc(cs.author)]['data'][time_pos]

                    datadict["commits"] += 1

                    datadict["added"] += len(cs.added)

                    datadict["changed"] += len(cs.changed)

                    datadict["removed"] += len(cs.removed)

                else:

                    if k >= ts_min_y and k <= ts_max_y or skip_date_limit:

                        datadict = {"time": k,

                                    "commits": 1,

                                    "added": len(cs.added),

                                    "changed": len(cs.changed),

                                    "removed": len(cs.removed),

                                   }

                        co_day_auth_aggr[akc(cs.author)]['data']\

                            .append(datadict)

            else:

                if k >= ts_min_y and k <= ts_max_y or skip_date_limit:

                    co_day_auth_aggr[akc(cs.author)] = {

                                        "label": akc(cs.author),

                                        "data": [{"time":k,

                                                 "commits":1,

                                                 "added":len(cs.added),

                                                 "changed":len(cs.changed),

                                                 "removed":len(cs.removed),

                                                 }],

                                        "schema": ["commits"],

                                        }

            #gather all data by day

            if k in commits_by_day_aggregate:

                commits_by_day_aggregate[k] += 1

            else:

                commits_by_day_aggregate[k] = 1

        overview_data = sorted(commits_by_day_aggregate.items(),

                               key=itemgetter(0))

        if not co_day_auth_aggr:

            co_day_auth_aggr[akc(repo.contact)] = {

                "label": akc(repo.contact),

                "data": [0, 1],

                "schema": ["commits"],