e64006bafe
A CLI tool to query local WeChat data with 11 commands: sessions, history, search, contacts, members, stats, export, favorites, unread, new-messages, and init. Features: - Self-contained init with key extraction (no external deps) - On-the-fly SQLCipher decryption with caching - JSON output by default for LLM/AI tool integration - Message type filtering and chat statistics - Markdown/txt export for conversations - Cross-platform: macOS, Windows, Linux
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
"""密钥提取模块 — 根据平台调用对应的 scanner"""
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import platform
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def extract_keys(db_dir, output_path, pid=None):
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"""提取微信数据库密钥并保存到 output_path。
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Args:
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db_dir: 微信数据库目录（db_storage）
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output_path: all_keys.json 输出路径
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pid: 可选，指定微信进程 PID（默认自动检测）
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Returns:
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dict: salt_hex -> enc_key_hex 的映射
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Raises:
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RuntimeError: 提取失败
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"""
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system = platform.system().lower()
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if system == "darwin":
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from .scanner_macos import extract_keys as _extract
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return _extract(db_dir, output_path, pid=pid)
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elif system == "windows":
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from .scanner_windows import extract_keys as _extract
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return _extract(db_dir, output_path, pid=pid)
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elif system == "linux":
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from .scanner_linux import extract_keys as _extract
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return _extract(db_dir, output_path, pid=pid)
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else:
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raise RuntimeError(f"不支持的平台: {platform.system()}")
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