Script pour convertir entre les fichiers de langue Xcode et le texte délimité par des tabulations

Un script qui convertit les fichiers de langue Xcode (Localizable.strings) en texte délimité par des tabulations (tsv) facile à gérer. Jusqu'à présent, je gérais des fichiers de langue avec Linguan, mais à mesure que le projet devenait énorme, il devenait difficile à gérer. Pour gérer avec du texte délimité par des tabulations.

Installer le module Python

bash

pip install unicodecsv

Convertir Localizable.strings en Localizable.tsv

i18n_po2tsv.py

import sys, re
import unicodecsv as csv
from collections import OrderedDict

#
# Default encoding
#

reload(sys)
sys.setdefaultencoding('utf8')

#
# File paths
#

tsv_path = 'Localization/Localizable.tsv'
loc_paths = 'PROJECT_NAME/PROJECT_NAME/Resources/UI/{}.lproj/Localizable.strings'

#
# Convert Localizable.strings to Localizable.tsv
#

langs = [
	'ja',
	'en',
]
rows = {}

for lang_code in langs:
	loc_path = loc_paths.format(lang_code)

	print('Reading loc file... ' + loc_path)

	lines = [line.encode('utf-8').rstrip('\n') for line in open(loc_path)]
	for line in lines:
		# print line
		pattern = re.compile(r'\"(.*)\" = \"(.*)\"')
		match = pattern.search(line)
		if match:
			loc_key = match.group(1).encode('utf-8')
			loc_str = match.group(2).encode('utf-8')
	        if loc_key in rows.keys():
	            rows[loc_key].append(loc_str)
	        else:
	            rows[loc_key] = [loc_key, loc_str]

rows_orderd = OrderedDict(sorted(rows.items()))

print('Saving tsv file... ' + tsv_path)
print('')

with open(tsv_path, 'wb') as f:
    writer = csv.writer(f, csv.excel_tab)
    writer.writerows(rows_orderd.values())

print('All done!')

Convertir Localizable.tsv en Localizable.strings

i18n_tsv2po.py

import sys
import unicodecsv as csv
import codecs
from collections import OrderedDict

#
# Default encoding
#

reload(sys)
sys.setdefaultencoding('utf8')

#
# File paths
#

tsv_path = 'Localization/Localizable.tsv'
loc_paths = 'PROJECT_NAME/PROJECT_NAME/Resources/UI/{}.lproj/Localizable.strings'

#
# Read Localizable.tsv
#

langs = {
    'ja': {},
    'en': {},
}

print('Reading tsv file... ' + tsv_path)

with open(tsv_path, 'rb') as tsv_in:
    tsv_in = csv.reader(tsv_in, delimiter='\t')
    # next(tsv_in, None)
    for row in tsv_in:
        loc_key = row[0]
        if row[1]:
            loc_str = row[1].encode('utf-8')
            langs['ja'][loc_key] = loc_str
        if row[2]:
            loc_str = row[2].encode('utf-8')
            langs['en'][loc_key] = loc_str

#
# Save Localizable.string
#

print('')

for key, value in langs.iteritems():
    lang_code = key
    loc_path = loc_paths.format(lang_code)

    print('Saving loc file... ' + loc_path)

    with open(loc_path, 'w') as loc_out:
        loc_orderd = OrderedDict(sorted(value.items()))
        for loc_key, loc_str in loc_orderd.iteritems():
            loc_out.write('"' + loc_key + '" = "' + loc_str +  '";\n')
        loc_out.close()

    print('Done!')
    print('')

print('All done!')