59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
#!/usr/bin/env python3
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# 音频预缓存实用程序(旧版), 独立于主程序之外, 但依赖其他组件
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import particles as pt
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import auxiliary as aux
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import edge_tts as tts
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from pathlib import Path
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import shutil
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import time
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def precache(text: str):
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"""预缓存单个文本的音频"""
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cache_dir = Path("./cache/voice/")
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cache_dir.mkdir(parents=True, exist_ok=True)
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cache = cache_dir / f"{aux.get_md5(text)}.wav"
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if not cache.exists():
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communicate = tts.Communicate(text, "zh-CN-XiaoxiaoNeural")
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communicate.save_sync(f"./cache/voice/{aux.get_md5(text)}.wav")
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def proc_file(path: Path):
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"""处理单个文件"""
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nu = pt.NucleonUnion(path)
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c = 0
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for i in nu.nucleons:
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c += 1
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print(f"预缓存 [{nu.name}] ({c}/{len(nu)}): {i['content'].replace('/', '')}")
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precache(i['content'].replace('/', ''))
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def walk(path_str: str):
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"""遍历目录处理所有文件"""
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path = Path(path_str)
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print(f"正在遍历目录: {path}")
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try:
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for item in path.iterdir():
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if item.is_file() and item.suffix == ".toml":
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print(f"正预缓存文件: {item.name}")
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proc_file(item)
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elif item.is_dir():
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print(f"进入目录: {item.name}")
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except:
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print("发生一个异常, 于 5 秒后自动重新下载")
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time.sleep(5)
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walk(path_str)
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if __name__ == "__main__":
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print("音频预缓存实用程序(旧版)")
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print("A: 全部缓存")
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print("C: 清空缓存")
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choice = input("输入选项 $ ").upper()
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if choice == "A":
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walk("./nucleon")
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elif choice == "C":
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shutil.rmtree("./cache/voice", ignore_errors=True)
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print("缓存已清空")
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