实现音频预缓存实用程序

.gitignore

@@ -3,3 +3,4 @@
 __pycache__/
 scripts/
 .idea
+cache

precaching.py

@@ -0,0 +1,42 @@
+import particles as pt
+import edge_tts as tts
+from pathlib import Path
+import shutil
+
+def precache(text):
+    cache_dir = Path(f"./cache/voice/")
+    cache_dir.mkdir(parents = True, exist_ok = True)
+    cache = cache_dir / f"{text}.wav"
+    if not cache.exists():
+        communicate = tts.Communicate(text, "zh-CN-YunjianNeural")
+        communicate.save_sync(f"./cache/voice/{text}.wav")
+
+def proc_file(path):
+    nu = pt.NucleonUnion(path)
+    c = 0
+    for i in nu.nucleons:
+        c += 1
+        print(f"预缓存 [{nu.name}] ({c}/{len(nu)}): {i["content"]}")
+        precache(f"{i["content"]}")
+
+def walk(path_str):
+    path = Path(path_str)
+
+    print(f"正在遍历目录: {path}")
+    for item in path.iterdir():
+        if item.is_file():
+            if item.suffix == ".toml":
+                print(f"正预缓存文件: {item.name}")
+                proc_file(item)
+        elif item.is_dir():
+            print(f"进入目录: {item.name}")
+
+print("音频预缓存实用程序")
+print("需要?")
+print("全部缓存: A")
+print("清空缓存: C")
+choice = input("输入选项 $ ")
+if choice == "a" or choice == "A":
+    walk("./nucleon")
+if choice == "c" or choice == "C":
+    shutil.rmtree("./cache/voice")

reactor.py

@@ -2,6 +2,7 @@ import typing
 import particles as pt
 import pathlib
 import auxiliary as aux
+
 class Parser():
     """轻量级版本文件解析器, 用于文件管理器的记忆状态解析"""