kallithea Files · scripts/shortlog.py

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Mads Kiilerich

celery: use the proper configured global app for scheduling and retrieving tasks

193138922d56 broke celery, due to magic dependencies on initialization and
setting global configuration at import time.

Instead, always use the correctly configured global Celery app, both when
creating tasks and checking result status.

This has been tested to work on Python 3.6 - for example for sending mails and
forking repos.

Celery has however been found to not work on Python 3.7, due to Celery 3.x
using the new reserved keyword 'async'.

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
Kallithea script for generating a quick overview of contributors and their
commit counts in a given revision set.
"""
import argparse
import os
from collections import Counter

from . import contributor_data


def main():

    parser = argparse.ArgumentParser(description='Generate a list of committers and commit counts.')
    parser.add_argument('revset',
                        help='revision set specifying the commits to count')
    args = parser.parse_args()

    repo_entries = [
        (contributor_data.name_fixes.get(name) or contributor_data.name_fixes.get(name.rsplit('<', 1)[0].strip()) or name).rsplit('<', 1)[0].strip()
        for name in (line.strip()
         for line in os.popen("""hg log -r '%s' -T '{author}\n'""" % args.revset).readlines())
        ]

    counter = Counter(repo_entries)
    for name, count in counter.most_common():
        if name == '':
            continue
        print('%4s %s' % (count, name))


if __name__ == '__main__':
    main()