lnbits-legend/tools/i18n-ai-tool.py

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# 1. Always check the results of the procedure
# 2. Always run "npx prettier -w lnbits/static/i18n/XX.js" to reformat the result
import os
import re
import sys
import json5
from openai import OpenAI
if len(sys.argv) < 2:
print("Usage: python3 tools/i18n-tool.py <code> [language]")
sys.exit(1)
lang = sys.argv[1]
assert os.getenv("OPENAI_API_KEY"), "OPENAI_API_KEY env var not set"
def load_language(lang: str) -> dict:
s = open(f"lnbits/static/i18n/{lang}.js").read()
prefix = "window.localisation.%s = {\n" % lang
assert s.startswith(prefix)
s = s[len(prefix) - 2 :]
json = json5.loads(s)
assert isinstance(json, dict)
return json
def save_language(lang: str, data) -> None:
with open(f"lnbits/static/i18n/{lang}.js", "w") as f:
f.write("window.localisation.%s = {\n" % lang)
row = 0
for k, v in data.items():
row += 1
f.write(" %s:\n" % k)
if "'" in v:
f.write(' "%s"' % v)
else:
f.write(" '%s'" % v)
if row == len(data):
f.write("\n")
else:
f.write(",\n")
f.write("}\n")
def string_variables_match(str1: str, str2: str) -> bool:
pat = re.compile(r"%\{[a-z0-9_]*\}")
m1 = re.findall(pat, str1)
m2 = re.findall(pat, str2)
return sorted(m1) == sorted(m2)
def translate_string(lang_from, lang_to, text):
target = {
"de": "German",
"es": "Spanish",
"jp": "Japan",
"cn": "Chinese",
"fr": "French",
"it": "Italian",
"pi": "Pirate",
"nl": "Dutch",
"we": "Welsh",
"pl": "Polish",
"pt": "Portuguese",
"br": "Brazilian Portugese",
"cs": "Czech",
"sk": "Slovak",
"kr": "Korean",
"fi": "Finnish",
}[lang_to]
client = OpenAI()
try:
chat_completion = client.chat.completions.create(
messages=[
{
"role": "system",
"content": "You are a language expert who speaks all the languages of the world perfectly. You are tasked with translating a text from English into another language. The text is part of the software you are working on. If the text contains a phrase enclosed in curly braces and preceded by a percent sign, do not translate this phrase; instead, keep it verbatim. For instance, the phrase %{amount} should remain %{amount} in the target language. Your output should only be the translated string, nothing more.", # noqa: E501
},
{
"role": "user",
"content": f"Translate the following string from English to {target}: {text}", # noqa: E501
},
],
model="gpt-4-1106-preview", # aka GPT-4 Turbo
)
assert chat_completion.choices[0].message.content, "No response from GPT-4"
translated = chat_completion.choices[0].message.content.strip()
# return translated string only if variables were not broken
if string_variables_match(text, translated):
return translated
else:
return None
except Exception:
return None
data_en = load_language("en")
data = load_language(lang)
missing = set(data_en.keys()) - set(data.keys())
print(f"Missing {len(missing)} keys in language '{lang}'")
if len(missing) > 0:
new = {}
for k in data_en:
if k in data:
new[k] = data[k]
else:
print(f"Translating key '{k}'")
print(f"{data_en[k]}")
translated = translate_string("en", lang, data_en[k])
print("->")
if translated:
print(f"{translated}")
new[k] = translated
else:
print("ERROR")
print()
save_language(lang, new)
else:
# check whether variables match for each string
for k in data_en:
if not string_variables_match(data_en[k], data[k]):
print(f"Variables mismatch ({k}):")
print(data_en[k])
print(data[k])