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tasks.py
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# -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2014 CERN.
#
# Invenio is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at your option) any later version.
#
# Invenio is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Invenio; if not, write to the Free Software Foundation, Inc.,
# 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
from __future__ import absolute_import
from datetime import datetime
from invenio.ext.sqlalchemy import db
from invenio.modules.search.models import Collection
from celery.task.base import PeriodicTask
from .models import Community
from invenio.base.globals import cfg
class RankingTask(PeriodicTask):
"""
Task which will be autodiscovered and run periodically
if celery worker is up and running (with --beat option).
"""
run_every = cfg['COMMUNITIES_PERIODIC_TASKS'][
'ranking_deamon']['run_every']
def run(*args, **kwargs):
ranking_deamon()
def calculate_rank_for_community(community, max_recs_cnt):
"""
Calculate rank for single community. Whole algorithm below.
Algorithm:
1. find the highest number of records for any community:
max_recs_cnt
2. find the number of records for this community: recs_cnt
3. calculate how many days have passed since last record
was accepted for this community: interval
4. calculate ranking points with formula:
C*recs_cnt + max_date_ranking - inteval*day_value + fixed_points
where:
max_date_ranking = C2*max_recs_cnt
day_value = max_date_ranking/some_value (some_value example:
50 [days])
C, C2 const.
"""
factor = 5
period_of_expiration = 50
recs_cnt = community.collection.nbrecs
if recs_cnt > 0.3 * max_recs_cnt:
max_date_ranking = 2 * max_recs_cnt
day_value = max(max_date_ranking / period_of_expiration, 1)
else:
max_date_ranking = max_recs_cnt
day_value = max(max_date_ranking / period_of_expiration, 1)
last_record_accepted = community.last_record_accepted or community.created
interval = (datetime.now() - last_record_accepted).days
date_ranking = max(max_date_ranking - interval * day_value, 0)
ranking = factor * recs_cnt + date_ranking + community.fixed_points
return ranking
def ranking_deamon():
"""
Ranks communities.
Task is being run periodically.
"""
comms = Community.query.all()
coll = Collection.query.filter(Collection.community).order_by(
db.desc(Collection.nbrecs)).first()
if coll:
max_recs_cnt = coll.nbrecs
for comm in comms:
ranking = calculate_rank_for_community(comm, max_recs_cnt)
comm.ranking = ranking
db.session.commit()

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