AskaEth
41f653b672
- 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>
143 lines
4.3 KiB
Python
143 lines
4.3 KiB
Python
#!/usr/bin/env python3
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"""
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使用 AnimeWwise 引擎无头提取昔涟语音。
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不需要 GUI，直接调用 extract.py 的核心逻辑。
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"""
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import os
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import sys
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# 添加 AnimeWwise 到路径
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AWW_DIR = r"D:\Project\Code\Uni\Cyrene-Voice-Model\tools\AnimeWwise"
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sys.path.insert(0, AWW_DIR)
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os.chdir(AWW_DIR)
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from extract import WwiseExtract
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# 输入目录
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HSR_AUDIO = r"D:\MeowG\Honkai：Star_Rail\StarRail_Data\Persistent\Audio\AudioPackage\Windows\Chinese(PRC)"
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OUTPUT_DIR = r"D:\Project\Code\Uni\Cyrene-Voice-Model\data\cyrene_extracted"
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MAP_FILE = "hkrpg.map"
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print("=" * 60)
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print("昔涟语音提取 (AnimeWwise Headless)")
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print("=" * 60)
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# 1. 初始化提取器
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extractor = WwiseExtract()
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# 2. 加载映射
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print("\n[1/4] 加载角色映射...")
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extractor.load_map(MAP_FILE)
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# 3. 加载音频文件
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print("\n[2/4] 加载 .pck 文件...")
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pck_files = sorted([
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os.path.join(HSR_AUDIO, f)
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for f in os.listdir(HSR_AUDIO)
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if f.endswith(".pck") and ("VoBanks" in f or "External_del_3." in f)
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])
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print(f" 找到 {len(pck_files)} 个目标 .pck 文件")
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# 进度回调
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def progress(data):
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if data[0] == "total":
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pct = int(data[1])
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if pct % 20 == 0:
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print(f" 加载进度: {pct:.0f}%")
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file_structure = extractor.load_folder(
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_map=MAP_FILE,
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files=pck_files,
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diff_path="",
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base_path=HSR_AUDIO,
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progress=progress,
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)
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# 4. 搜索昔涟
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print("\n[3/4] 搜索昔涟语音...")
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def search_cyrene(structure, path=""):
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"""递归搜索文件结构中包含昔涟相关名称的文件"""
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results = []
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cyrene_terms = ['cyrene', 'mimi', 'xilian', 'mem', 'de_moi_ge']
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# 搜索文件夹
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folders = structure.get("folders", {})
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for folder_name, folder_content in folders.items():
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sub_path = f"{path}/{folder_name}" if path else folder_name
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results.extend(search_cyrene(folder_content, sub_path))
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# 搜索文件
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for file_entry in structure.get("files", []):
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file_name = file_entry[0].lower()
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file_path = f"{path}/{file_entry[0]}"
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for term in cyrene_terms:
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if term in file_name or term in file_path.lower():
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results.append((path, file_entry[0], file_entry[1]))
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break
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return results
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matches = search_cyrene(file_structure)
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print(f" 找到 {len(matches)} 个昔涟相关文件")
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if len(matches) == 0:
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print("\n 未匹配到昔涟，显示所有顶层目录结构:")
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folders = file_structure.get("folders", {})
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for name in sorted(folders.keys()):
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count = len(folders[name].get("files", []))
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# 递归统计
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def count_all(s):
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total = len(s.get("files", []))
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for v in s.get("folders", {}).values():
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total += count_all(v)
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return total
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total = count_all(folders[name])
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print(f" {name}/ ({total} files)")
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# 也搜一下其他可能的名称
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print("\n 搜索所有包含'voice'的路径...")
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voice_matches = search_cyrene(file_structure)
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# 换个方式搜
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def search_all(structure, prefix=""):
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for folder_name, folder_content in structure.get("folders", {}).items():
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sub = f"{prefix}/{folder_name}" if prefix else folder_name
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sub_lower = sub.lower()
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if any(t in sub_lower for t in ['voice', 'char', 'npc', 'player', 'avatar']):
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print(f" {sub}/")
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search_all(folder_content, sub)
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search_all(file_structure)
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else:
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for path, name, meta in matches[:30]:
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print(f" {path}/{name}")
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# 5. 提取
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if matches:
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print(f"\n[4/4] 提取 {len(matches)} 个文件到 {OUTPUT_DIR}...")
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output_files = []
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for path, name, meta in matches:
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output_files.append({
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"path": path.split("/") if path else [],
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"name": name,
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"source": meta["source"],
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"offset": meta["offset"],
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"size": meta["size"],
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"original_name": meta["original_name"],
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})
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extractor.extract_files(
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_input=HSR_AUDIO,
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files=output_files,
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output=OUTPUT_DIR,
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_format="wav",
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progress=progress,
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)
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print(f"\n完成！文件保存在 {OUTPUT_DIR}")
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else:
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print("\n未找到昔涟语音。可能需要用 AnimeWwise GUI 手动浏览文件结构。")
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extractor.reset()
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