refactor: QQ → OBv11 重命名 + 平台格式统一抽象

- 所有对外称呼从 QQ 改为 OBv11（注释/提示词/日志/配置项） - 新增 PlatformFormat 结构体，统一管理平台消息标记格式 - defaultPlatformFormats() 注册表替代硬编码 qqTargetRe - extractProactiveMessage 改为 Thinker 方法，遍历格式注册表匹配 - 配置项重命名: QQ_BOT_PORT → OBV11_BOT_PORT, QQBotPort → OBv11BotPort - 标记格式: 【QQ群聊】→【OBv11群聊】、【QQ私聊】→【OBv11私聊】 Co-Authored-By: Claude <noreply@anthropic.com>
2026-06-22 20:48:07 +08:00
parent 70dbb23234
commit 41f653b672
25 changed files with 1609 additions and 82 deletions
@@ -0,0 +1,142 @@
+#!/usr/bin/env python3
+"""
+使用 AnimeWwise 引擎无头提取昔涟语音。
+不需要 GUI，直接调用 extract.py 的核心逻辑。
+"""
+
+import os
+import sys
+
+# 添加 AnimeWwise 到路径
+AWW_DIR = r"D:\Project\Code\Uni\Cyrene-Voice-Model\tools\AnimeWwise"
+sys.path.insert(0, AWW_DIR)
+os.chdir(AWW_DIR)
+
+from extract import WwiseExtract
+
+# 输入目录
+HSR_AUDIO = r"D:\MeowG\Honkai：Star_Rail\StarRail_Data\Persistent\Audio\AudioPackage\Windows\Chinese(PRC)"
+OUTPUT_DIR = r"D:\Project\Code\Uni\Cyrene-Voice-Model\data\cyrene_extracted"
+MAP_FILE = "hkrpg.map"
+
+print("=" * 60)
+print("昔涟语音提取 (AnimeWwise Headless)")
+print("=" * 60)
+
+# 1. 初始化提取器
+extractor = WwiseExtract()
+
+# 2. 加载映射
+print("\n[1/4] 加载角色映射...")
+extractor.load_map(MAP_FILE)
+
+# 3. 加载音频文件
+print("\n[2/4] 加载 .pck 文件...")
+pck_files = sorted([
+    os.path.join(HSR_AUDIO, f)
+    for f in os.listdir(HSR_AUDIO)
+    if f.endswith(".pck") and ("VoBanks" in f or "External_del_3." in f)
+])
+
+print(f"  找到 {len(pck_files)} 个目标 .pck 文件")
+
+# 进度回调
+def progress(data):
+    if data[0] == "total":
+        pct = int(data[1])
+        if pct % 20 == 0:
+            print(f"  加载进度: {pct:.0f}%")
+
+file_structure = extractor.load_folder(
+    _map=MAP_FILE,
+    files=pck_files,
+    diff_path="",
+    base_path=HSR_AUDIO,
+    progress=progress,
+)
+
+# 4. 搜索昔涟
+print("\n[3/4] 搜索昔涟语音...")
+
+def search_cyrene(structure, path=""):
+    """递归搜索文件结构中包含昔涟相关名称的文件"""
+    results = []
+    cyrene_terms = ['cyrene', 'mimi', 'xilian', 'mem', 'de_moi_ge']
+
+    # 搜索文件夹
+    folders = structure.get("folders", {})
+    for folder_name, folder_content in folders.items():
+        sub_path = f"{path}/{folder_name}" if path else folder_name
+        results.extend(search_cyrene(folder_content, sub_path))
+
+    # 搜索文件
+    for file_entry in structure.get("files", []):
+        file_name = file_entry[0].lower()
+        file_path = f"{path}/{file_entry[0]}"
+        for term in cyrene_terms:
+            if term in file_name or term in file_path.lower():
+                results.append((path, file_entry[0], file_entry[1]))
+                break
+
+    return results
+
+matches = search_cyrene(file_structure)
+print(f"  找到 {len(matches)} 个昔涟相关文件")
+
+if len(matches) == 0:
+    print("\n  未匹配到昔涟，显示所有顶层目录结构:")
+    folders = file_structure.get("folders", {})
+    for name in sorted(folders.keys()):
+        count = len(folders[name].get("files", []))
+        # 递归统计
+        def count_all(s):
+            total = len(s.get("files", []))
+            for v in s.get("folders", {}).values():
+                total += count_all(v)
+            return total
+        total = count_all(folders[name])
+        print(f"    {name}/ ({total} files)")
+
+    # 也搜一下其他可能的名称
+    print("\n  搜索所有包含'voice'的路径...")
+    voice_matches = search_cyrene(file_structure)
+    # 换个方式搜
+    def search_all(structure, prefix=""):
+        for folder_name, folder_content in structure.get("folders", {}).items():
+            sub = f"{prefix}/{folder_name}" if prefix else folder_name
+            sub_lower = sub.lower()
+            if any(t in sub_lower for t in ['voice', 'char', 'npc', 'player', 'avatar']):
+                print(f"    {sub}/")
+            search_all(folder_content, sub)
+
+    search_all(file_structure)
+else:
+    for path, name, meta in matches[:30]:
+        print(f"    {path}/{name}")
+
+# 5. 提取
+if matches:
+    print(f"\n[4/4] 提取 {len(matches)} 个文件到 {OUTPUT_DIR}...")
+    output_files = []
+    for path, name, meta in matches:
+        output_files.append({
+            "path": path.split("/") if path else [],
+            "name": name,
+            "source": meta["source"],
+            "offset": meta["offset"],
+            "size": meta["size"],
+            "original_name": meta["original_name"],
+        })
+
+    extractor.extract_files(
+        _input=HSR_AUDIO,
+        files=output_files,
+        output=OUTPUT_DIR,
+        _format="wav",
+        progress=progress,
+    )
+    print(f"\n完成！文件保存在 {OUTPUT_DIR}")
+else:
+    print("\n未找到昔涟语音。可能需要用 AnimeWwise GUI 手动浏览文件结构。")
+
+extractor.reset()