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usercontributions_export.py
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usercontributions_export.py
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#!/usr/bin/env python
##########################################################################
# #
# This program 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; version 2 of the License. #
# #
# This program 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. #
# #
##########################################################################
from sonet.models import get_contributions_table
from sqlalchemy import select, func
import logging
import time
import sys
from base64 import b64decode
from zlib import decompress
from wbin import deserialize
from django.utils.encoding import smart_str
import sonet.mediawiki as mwlib
from sonet.lib import find_open_for_this_file, yyyymmdd_to_datetime
def user_iter(lang='en', paginate=10000000):
contrib, conn = get_contributions_table()
count_query = select([func.count(contrib.c.id)],
contrib.c.lang == lang)
s = select([contrib],
contrib.c.lang == lang).order_by(
contrib.c.id).limit(paginate)
count = conn.execute(count_query).fetchall()[0][0]
#print >>sys.stderr, 'PAGES:', count
for offset in xrange(0, count, paginate):
rs = conn.execute(s.offset(offset))
for row in rs:
## row is a RowProxy object: supports dict and list methods
## convert it to dict to use with csv.DictWriter
v = dict(row)
del v['id']
del v['lang']
v['namespace_edits'] = deserialize(decompress(b64decode(
v['namespace_edits']
))) if v['namespace_edits'] is not None else None
yield v
def prepare_data(namespaces, lang, date_, threshold=0):
for user in user_iter(lang=lang):
if user['normal_edits']:
user['tot_edits'] = user['normal_edits']
user['diversity_score'] = 1
else:
user['tot_edits'] = 0
user['diversity_score'] = 0
if user['namespace_edits'] is None:
user['namespace_edits'] = [0, ] * len(namespaces)
for i, namespace_edit in enumerate(user['namespace_edits']):
user[namespaces[i]] = namespace_edit
user['tot_edits'] += namespace_edit
if namespace_edit:
user['diversity_score'] += 1
del user['namespace_edits']
if user['tot_edits'] < threshold:
continue
## smart_str to manage unicode
user['username'] = smart_str(user['username'])
user['days_since_first_edit'] = (date_ - user['first_edit']).days
user['left_since'] = (date_ - user['last_edit']).days
user['active_days'] = (user['last_edit'] - user['first_edit']).days
user['first_edit_year'] = user['first_edit'].year
user['first_edit_month'] = user['first_edit'].month
user['first_edit_day'] = user['first_edit'].day
user['last_edit_year'] = user['last_edit'].year
user['last_edit_month'] = user['last_edit'].month
user['last_edit_day'] = user['last_edit'].day
## converts datetime objects to timestamps (seconds elapsed since
## 1970-01-01)
user['first_edit'] = int(time.mktime(user['first_edit'].timetuple()))
user['last_edit'] = int(time.mktime(user['last_edit'].timetuple()))
yield user
def create_option_parser():
import argparse
p = argparse.ArgumentParser(
description='Export User contribution data from database into csv')
## optional parameters
p.add_argument('-t', '--threshold',
help='total edits threshold (default: %(default)s)',
type=int, default=0)
## positional arguments
p.add_argument('dump', help="dump file", metavar="DUMP_FILE")
p.add_argument('out', help="output file (bz2 ext)", metavar="OUTPUT_FILE")
return p
def main():
from bz2 import BZ2File
from csv import DictWriter
logging.basicConfig(#filename="usercontributions_export.log",
stream=sys.stderr,
level=logging.DEBUG)
logging.info('---------------------START---------------------')
op = create_option_parser()
args = op.parse_args()
xml, out, threshold = args.dump, args.out, args.threshold
lang, date_, _ = mwlib.explode_dump_filename(xml)
deflate, _lineno = find_open_for_this_file(xml)
date_ = yyyymmdd_to_datetime(date_, 1)
if _lineno:
src = deflate(xml, 51) # Read first 51 lines to extract namespaces
else:
src = deflate(xml)
tmp = ["Normal"]+[v for _, (_, v) in enumerate(mwlib.get_namespaces(src))]
namespaces = []
# fix for quartiles
for ns in tmp:
for n in range(1, 5):
namespaces.append("%s_%d" % (ns, n))
print namespaces
fout = BZ2File(out, 'w')
fields = ['username', 'normal_edits', 'comments_count', 'comments_avg',
'minor', 'revert', 'npov', 'welcome', 'please', 'thanks',
'first_edit', 'last_edit', 'tot_edits', 'active_days',
'days_since_first_edit', 'left_since', 'diversity_score',
'first_edit_year', 'first_edit_month', 'first_edit_day',
'last_edit_year', 'last_edit_month', 'last_edit_day', ]
fields[2:2] = namespaces
dw = DictWriter(fout, fields)
dw.writeheader()
## to get only the first 1000 users:
#from itertools import islice
#data_iterator = islice(prepare_data(namespaces), 1000)
data_iterator = prepare_data(namespaces, lang, date_, threshold)
count = 0
for user in data_iterator:
for k, v in user.iteritems():
if type(v) in [int, float]:
assert v >= 0, "%s is negative" % (k,)
dw.writerow(user)
count += 1
if not count % 5000:
logging.info(count)
if __name__ == "__main__":
main()