import subprocess import argparse import threading from google_translate import translate_text from google_translate import translation_lock from searcher import search_in_file from helper import sort_userscript_section def insert_into_meta(file_path, content): with open(file_path, 'r', encoding='utf-8') as file: lines = file.readlines() if len(lines) < 1: lines.append("\n") lines.insert(1, content + "\n") with open(file_path, 'w', encoding='utf-8') as file: file.writelines(lines) print(f"\033[34m区域化已插入 '{file_path}' 的元数据下\033[0m") # 删除中文头部描述,也可以在默认语言中删除zh-CN def remove_zh_cn_lines(file_path): try: with open(file_path, 'r', encoding='utf-8') as file: lines = file.readlines() filtered_lines = [ line for line in lines if not line.strip().startswith("// @name:zh-CN") and not line.strip().startswith("// @description:zh-CN") ] with open(file_path, 'w', encoding='utf-8') as file: file.writelines(filtered_lines) except FileNotFoundError: print("文件未找到,请检查文件路径。") except Exception as e: print(f"发生错误: {e}") # 读取文件并查找中文简介 def read_file_to_memory(file_path): search_results = search_in_file(file_path, "zh-CN") lines = [] chinese_texts = [] for name_match in search_results.name_matches: lines.append(name_match) chinese_texts.append((len(lines) - 1, name_match)) for description_match in search_results.description_matches: lines.append(description_match) chinese_texts.append((len(lines) - 1, description_match)) remove_zh_cn_lines(file_path) return chinese_texts # 用于保存翻译结果的线程函数 def translate_worker(chinese_texts, translations, lang): for idx, chinese_text in chinese_texts: translated_text = translate_text(chinese_text, lang) if translated_text: with translation_lock: translations[(idx, chinese_text)] = translated_text # 翻译并返回翻译结果 def translate_and_collect(chinese_texts, lang): translations = {} threads = [] chunk_size = len(chinese_texts) // 5 or 1 for i in range(0, len(chinese_texts), chunk_size): chunk = chinese_texts[i:i + chunk_size] thread = threading.Thread(target=translate_worker, args=(chunk, translations, lang)) threads.append(thread) thread.start() for thread in threads: thread.join() translation_output = "" for line_number, chinese_text, translated_text in [(ln, ct, translations.get((ln, ct), None)) for ln, ct in chinese_texts if (ln, ct) in translations]: if line_number == 0: # 第一行永远是标题 translation_output += f'// @name:{lang} {translated_text}\n' else: translation_output += f'// @description:{lang} {translated_text}' return translation_output # 循环翻译 def translate_localized(readme_path, target_langs): # 获取元的中文名称和简介 chinese_texts = read_file_to_memory(readme_path) # 遍历 target_langs 中的语言 for lang_code in target_langs: print(f"\033[32m开始翻译语言=>[{lang_code}]\033[0m") translation_output = translate_and_collect(chinese_texts, lang_code) insert_into_meta(readme_path, translation_output) def main(): # 创建命令行参数解析器 parser = argparse.ArgumentParser(description="UserScript 多语言自动化翻译与优化工具") parser.add_argument("file_path", type=str, help="需要处理的 UserScript 文件路径") parser.add_argument("--langs", nargs="+", default=['af', 'am', 'ar', 'az', 'be', 'bem', 'bg', 'bn', 'bo', 'bs', 'ca', 'ceb', 'cs', 'cy', 'da', 'de', 'dv', 'dz', 'el', 'en', 'en-GB', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fo', 'fr', 'gd', 'gl', 'gu', 'haw', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'ka', 'kab', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lb', 'lo', 'lt', 'lv', 'mg', 'mi', 'mk', 'ml', 'mn', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pap', 'pl', 'ps', 'pt', 'ro', 'ru', 'rw', 'sg', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sr', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'ti', 'tk', 'tn', 'to', 'tpi', 'tr', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh', 'zh-HK', 'zh-SG', 'zh-TW', 'zu'], help="目标翻译语言列表,默认包含 所有语言") args = parser.parse_args() file_path = args.file_path target_langs = args.langs translate_localized(file_path, target_langs) sort_userscript_section(file_path) subprocess.run(['node', 'utils/single-format-monkey-meta.js', file_path], check=True) print("翻译和排序完成!") if __name__ == "__main__": main()