gpodder/tools/i18n/summary.py

63 lines
1.9 KiB
Python

#!/usr/bin/python3
# summary.py - Text-based visual translation completeness summary
# Thomas Perl <thp@gpodder.org>, 2009-01-03
#
# Usage: make statistics | python summary.py
#
import sys
import re
import math
import glob
import os
import subprocess
width = 40
class Language(object):
def __init__(self, language, translated, fuzzy, untranslated):
self.language = language
self.translated = int(translated)
self.fuzzy = int(fuzzy)
self.untranslated = int(untranslated)
def get_translated_ratio(self):
return self.translated/(self.translated+self.fuzzy+self.untranslated)
def get_fuzzy_ratio(self):
return self.fuzzy/(self.translated+self.fuzzy+self.untranslated)
def get_untranslated_ratio(self):
return self.untranslated/(self.translated+self.fuzzy+self.untranslated)
def __cmp__(self, other):
return cmp(self.get_translated_ratio(), other.get_translated_ratio())
languages = []
COUNTS_RE = '((\d+) translated message[s]?)?(, (\d+) fuzzy translation[s]?)?(, (\d+) untranslated message[s]?)?\.'
po_folder = os.path.join(os.path.dirname(__file__), '..', '..', 'po')
for filename in glob.glob(os.path.join(po_folder, '*.po')):
language, _ = os.path.splitext(os.path.basename(filename))
msgfmt = subprocess.Popen(['msgfmt', '--statistics', filename],
stderr=subprocess.PIPE)
_, stderr = msgfmt.communicate()
match = re.match(COUNTS_RE, stderr).groups()
languages.append(Language(language, match[1] or '0', match[3] or '0', match[5] or '0'))
print('')
for language in sorted(languages):
tc = '#'*(int(math.floor(width*language.get_translated_ratio())))
fc = '~'*(int(math.floor(width*language.get_fuzzy_ratio())))
uc = ' '*(width-len(tc)-len(fc))
print(' %5s [%s%s%s] -- %3.0f %% translated' % (language.language, tc, fc, uc, language.get_translated_ratio()*100))
print("""
Total translations: %s
""" % (len(languages)))