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62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
import os
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import json
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from deep_translator import GoogleTranslator
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from concurrent.futures import ThreadPoolExecutor, as_completed
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# === CONFIGURATION ===
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base_folder = "../src/i18n/locales"
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source_lang = "en"
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target_langs = ["de", "es", "fr", "it", "ja", "ru", "zh_CN"]
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filenames = ["auth.json", "core.json", "group.json", "question.json", "tutorial.json"]
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max_workers = 12 # Adjust based on your CPU
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# === TRANSLATION FUNCTION ===
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def translate_json(obj, target_lang):
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if isinstance(obj, dict):
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return {k: translate_json(v, target_lang) for k, v in obj.items()}
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elif isinstance(obj, list):
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return [translate_json(item, target_lang) for item in obj]
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elif isinstance(obj, str):
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if "{{" in obj or "}}" in obj or "<" in obj:
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return obj # Skip templating/markup
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try:
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return GoogleTranslator(source='en', target=target_lang).translate(text=obj)
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except Exception as e:
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print(f"[{target_lang}] Error: {e}")
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return obj
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return obj
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# === WORKER FUNCTION ===
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def translate_file_for_lang(filename, data, lang):
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print(f"🔁 Translating {filename} → {lang}")
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translated = translate_json(data, lang)
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target_dir = os.path.join(base_folder, lang)
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os.makedirs(target_dir, exist_ok=True)
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target_path = os.path.join(target_dir, filename)
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with open(target_path, "w", encoding="utf-8") as f:
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json.dump(translated, f, ensure_ascii=False, indent=2)
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print(f"✅ Saved {target_path}")
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return target_path
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# === MAIN FUNCTION ===
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def main():
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tasks = []
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with ThreadPoolExecutor(max_workers=max_workers) as executor:
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for filename in filenames:
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source_path = os.path.join(base_folder, source_lang, filename)
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if not os.path.isfile(source_path):
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print(f"⚠️ Missing file: {source_path}")
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continue
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with open(source_path, "r", encoding="utf-8") as f:
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data = json.load(f)
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for lang in target_langs:
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tasks.append(executor.submit(translate_file_for_lang, filename, data, lang))
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for future in as_completed(tasks):
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_ = future.result()
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if __name__ == "__main__":
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main()
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