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whoogle-search/misc/update-translations.py

68 lines
2.0 KiB
Python

import json
import pathlib
import requests
lingva = 'https://lingva.ml/api/v1/en'
def format_lang(lang: str) -> str:
# Chinese (traditional and simplified) require
# a different format for lingva translations
if 'zh-' in lang:
if lang == 'zh-TW':
return 'zh_HANT'
return 'zh'
# Strip lang prefix to leave only the actual
# language code (i.e. 'en', 'fr', etc)
return lang.replace('lang_', '')
def translate(v: str, lang: str) -> str:
# Strip lang prefix to leave only the actual
#language code (i.e. "es", "fr", etc)
lang = format_lang(lang)
lingva_req = f'{lingva}/{lang}/{v}'
response = requests.get(lingva_req).json()
if 'translation' in response:
return response['translation']
return ''
if __name__ == '__main__':
file_path = pathlib.Path(__file__).parent.resolve()
tl_path = 'app/static/settings/translations.json'
with open(f'{file_path}/../{tl_path}', 'r+', encoding='utf-8') as tl_file:
tl_data = json.load(tl_file)
# If there are any english translations that don't
# exist for other languages, extract them and translate
# them now
en_tl = tl_data['lang_en']
for k, v in en_tl.items():
for lang in tl_data:
if lang == 'lang_en' or k in tl_data[lang]:
continue
translation = ''
if len(k) == 0:
# Special case for placeholder text that gets used
# for translations without any key present
translation = v
else:
# Translate the string using lingva
translation = translate(v, lang)
if len(translation) == 0:
print(f'! Unable to translate {lang}[{k}]')
continue
print(f'{lang}[{k}] = {translation}')
tl_data[lang][k] = translation
# Write out updated translations json
print(json.dumps(tl_data, indent=4, ensure_ascii=False))