diff --git a/.gitignore b/.gitignore index db821c3..b10a3d5 100644 --- a/.gitignore +++ b/.gitignore @@ -23,3 +23,7 @@ __pycache__/ # OS .DS_Store Thumbs.db + +# Compiled binaries and output +find_all_keys_macos +decoded_voices/ diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..fa601c2 --- /dev/null +++ b/Makefile @@ -0,0 +1,14 @@ +.PHONY: keys decrypt web build + +build: + cc -O2 -o find_all_keys_macos find_all_keys_macos.c -framework Foundation + codesign -s - find_all_keys_macos + +keys: + sudo ./find_all_keys_macos + +decrypt: + .venv/bin/python3 main.py decrypt + +web: + .venv/bin/python3 main.py diff --git a/main.py b/main.py index 885f975..9033383 100644 --- a/main.py +++ b/main.py @@ -6,7 +6,9 @@ python main.py decrypt # 提取密钥 + 解密全部数据库 """ import json import os +import platform import sys +import subprocess import functools print = functools.partial(print, flush=True) @@ -16,6 +18,8 @@ from key_utils import strip_key_metadata def check_wechat_running(): """检查微信是否在运行，返回 True/False""" + if platform.system().lower() == "darwin": + return subprocess.run(["pgrep", "-x", "WeChat"], capture_output=True).returncode == 0 from find_all_keys import get_pids try: get_pids() @@ -44,6 +48,14 @@ def ensure_keys(keys_file, db_dir): print(f"[+] 已有 {len(keys)} 个数据库密钥") return + if platform.system().lower() == "darwin": + print("[!] macOS 请先运行 C 版扫描器提取密钥：") + print() + print(" sudo ./find_all_keys_macos") + print() + print(" 完成后再运行 python main.py decrypt") + sys.exit(1) + print("[*] 密钥文件不存在，正在从微信进程提取...") print() from find_all_keys import main as extract_keys diff --git a/mcp_server.py b/mcp_server.py index 5c5101d..9851d22 100644 --- a/mcp_server.py +++ b/mcp_server.py @@ -5,7 +5,9 @@ Based on FastMCP (stdio transport), reuses existing decryption. Runs on Windows Python (needs access to D:\ WeChat databases). """ +import io import os, sys, json, time, sqlite3, tempfile, struct, hashlib, atexit, re +import wave import hmac as hmac_mod from contextlib import closing from datetime import datetime @@ -803,18 +805,19 @@ def _build_message_filters(start_ts=None, end_ts=None, keyword=''): return clauses, params -def _query_messages(conn, table_name, start_ts=None, end_ts=None, keyword='', limit=20, offset=0): +def _query_messages(conn, table_name, start_ts=None, end_ts=None, keyword='', limit=20, offset=0, oldest_first=False): if not _is_safe_msg_table_name(table_name): raise ValueError(f'非法消息表名: {table_name}') clauses, params = _build_message_filters(start_ts, end_ts, keyword) where_sql = f"WHERE {' AND '.join(clauses)}" if clauses else '' + order = 'ASC' if oldest_first else 'DESC' sql = f""" SELECT local_id, local_type, create_time, real_sender_id, message_content, WCDB_CT_message_content FROM [{table_name}] {where_sql} - ORDER BY create_time DESC + ORDER BY create_time {order} """ if limit is None: return conn.execute(sql, params).fetchall() @@ -994,14 +997,14 @@ def _history_query_batch_size(candidate_limit): return min(candidate_limit, _HISTORY_QUERY_BATCH_SIZE) -def _page_ranked_entries(entries, limit, offset): - ordered = sorted(entries, key=lambda item: item[0], reverse=True) +def _page_ranked_entries(entries, limit, offset, oldest_first=False): + ordered = sorted(entries, key=lambda item: item[0], reverse=not oldest_first) paged = ordered[offset:offset + limit] paged.sort(key=lambda item: item[0]) return paged -def _collect_chat_history_lines(ctx, names, start_ts=None, end_ts=None, limit=20, offset=0): +def _collect_chat_history_lines(ctx, names, start_ts=None, end_ts=None, limit=20, offset=0, oldest_first=False): collected = [] failures = [] candidate_limit = _candidate_page_size(limit, offset) @@ -1022,6 +1025,7 @@ def _collect_chat_history_lines(ctx, names, start_ts=None, end_ts=None, limit=20 end_ts=end_ts, limit=batch_size, offset=fetch_offset, + oldest_first=oldest_first, ) if not rows: break @@ -1042,7 +1046,7 @@ def _collect_chat_history_lines(ctx, names, start_ts=None, end_ts=None, limit=20 except Exception as e: failures.append(f"{table_ctx['db_path']}: {e}") - paged = _page_ranked_entries(collected, limit, offset) + paged = _page_ranked_entries(collected, limit, offset, oldest_first=oldest_first) return [line for _, line in paged], failures @@ -1348,7 +1352,7 @@ def get_recent_sessions(limit: int = 20) -> str: @mcp.tool() -def get_chat_history(chat_name: str, limit: int = 50, offset: int = 0, start_time: str = "", end_time: str = "") -> str: +def get_chat_history(chat_name: str, limit: int = 50, offset: int = 0, start_time: str = "", end_time: str = "", oldest_first: bool = False) -> str: """获取指定聊天的消息记录。 Args: @@ -1357,6 +1361,7 @@ def get_chat_history(chat_name: str, limit: int = 50, offset: int = 0, start_tim offset: 分页偏移量，默认0 start_time: 起始时间，支持 YYYY-MM-DD / YYYY-MM-DD HH:MM / YYYY-MM-DD HH:MM:SS end_time: 结束时间，支持 YYYY-MM-DD / YYYY-MM-DD HH:MM / YYYY-MM-DD HH:MM:SS + oldest_first: 为 True 时返回最早的消息（默认 False 返回最新消息） """ try: _validate_pagination(limit, offset, limit_max=None) @@ -1378,6 +1383,7 @@ def get_chat_history(chat_name: str, limit: int = 50, offset: int = 0, start_tim end_ts=end_ts, limit=limit, offset=offset, + oldest_first=oldest_first, ) if not lines: @@ -1734,5 +1740,185 @@ def get_chat_images(chat_name: str, limit: int = 20) -> str: return f"{display_name} 的 {len(lines)} 张图片:\n\n" + "\n".join(lines) +# ============ 语音解密 ============ + +DECODED_VOICE_DIR = os.path.join(SCRIPT_DIR, "decoded_voices") + +def _get_media_db_path(): + return _cache.get("message/media_0.db") + +def _get_chat_name_id(conn, username): + row = conn.execute( + "SELECT rowid FROM Name2Id WHERE user_name = ?", (username,) + ).fetchone() + return row[0] if row else None + + +def _fetch_voice_row(username, local_id=None): + """Query VoiceInfo from media_0.db. Returns (voice_data, create_time) or None.""" + media_db = _get_media_db_path() + if not media_db: + return None + with closing(sqlite3.connect(media_db)) as conn: + chat_name_id = _get_chat_name_id(conn, username) + if chat_name_id is None: + return None + if local_id is not None: + return conn.execute( + "SELECT voice_data, create_time FROM VoiceInfo " + "WHERE chat_name_id = ? AND local_id = ?", + (chat_name_id, local_id), + ).fetchone() + return None + + +def _silk_to_wav(voice_data, create_time, username): + """Decode SILK voice blob to WAV file, return output path.""" + import pysilk + data = bytes(voice_data) + silk_data = data[1:] if data[0] == 0x02 else data + os.makedirs(DECODED_VOICE_DIR, exist_ok=True) + time_str = datetime.fromtimestamp(create_time).strftime('%Y%m%d_%H%M%S') + out_path = os.path.join(DECODED_VOICE_DIR, f"{username}_{time_str}.wav") + inp = io.BytesIO(silk_data) + out = io.BytesIO() + pysilk.decode(inp, out, 24000) + pcm = out.getvalue() + with wave.open(out_path, 'wb') as wf: + wf.setnchannels(1) + wf.setsampwidth(2) + wf.setframerate(24000) + wf.writeframes(pcm) + return out_path, len(pcm) + + +@mcp.tool() +def get_voice_messages(chat_name: str, limit: int = 20) -> str: + """列出某个聊天中的语音消息。 + + 返回语音的时间、local_id 和大小，可配合 decode_voice 工具解码。 + + Args: + chat_name: 聊天对象的名字、备注名或wxid + limit: 返回数量，默认20 + """ + username = resolve_username(chat_name) + if not username: + return f"找不到聊天对象: {chat_name}" + + names = get_contact_names() + display_name = names.get(username, username) + + media_db = _get_media_db_path() + if not media_db: + return "找不到 media_0.db" + + with closing(sqlite3.connect(media_db)) as conn: + chat_name_id = _get_chat_name_id(conn, username) + if chat_name_id is None: + return f"{display_name} 无语音消息" + + rows = conn.execute( + "SELECT local_id, create_time, length(voice_data) FROM VoiceInfo " + "WHERE chat_name_id = ? ORDER BY create_time DESC LIMIT ?", + (chat_name_id, limit), + ).fetchall() + + if not rows: + return f"{display_name} 无语音消息" + + lines = [] + for local_id, create_time, size in rows: + time_str = datetime.fromtimestamp(create_time).strftime('%Y-%m-%d %H:%M') + lines.append(f"[{time_str}] local_id={local_id} {size/1024:.0f}KB") + + return f"{display_name} 的 {len(lines)} 条语音消息:\n\n" + "\n".join(lines) + + +@mcp.tool() +def decode_voice(chat_name: str, local_id: int) -> str: + """解码微信语音消息为 WAV 文件。 + + 先用 get_voice_messages 获取 local_id，再用此工具解码。 + 输出文件保存在 decoded_voices/ 目录。 + + Args: + chat_name: 聊天对象的名字、备注名或wxid + local_id: 语音消息的 local_id（从 get_voice_messages 获取） + """ + try: + import pysilk # noqa: F401 + except ImportError: + return "缺少依赖: pip install silk-python" + + username = resolve_username(chat_name) + if not username: + return f"找不到聊天对象: {chat_name}" + + row = _fetch_voice_row(username, local_id) + if row is None: + return f"找不到 local_id={local_id} 的语音消息" + + voice_data, create_time = row + out_path, pcm_len = _silk_to_wav(voice_data, create_time, username) + duration_s = pcm_len / (24000 * 2) + return ( + f"解码成功!\n" + f" 文件: {out_path}\n" + f" 时长: {duration_s:.1f}秒\n" + f" 大小: {os.path.getsize(out_path):,} bytes" + ) + + +_whisper_model = None + +def _get_whisper_model(model_size="base"): + global _whisper_model + if _whisper_model is None: + import whisper + _whisper_model = whisper.load_model(model_size) + return _whisper_model + + +@mcp.tool() +def transcribe_voice(chat_name: str, local_id: int) -> str: + """将微信语音消息转录为文字（自动检测语言，保留原语言）。 + + 会先解码 SILK 语音为 WAV，再用 Whisper 转录。 + 首次运行会下载 Whisper 模型（约 145MB）。 + + Args: + chat_name: 聊天对象的名字、备注名或wxid + local_id: 语音消息的 local_id（从 get_voice_messages 获取） + """ + try: + import whisper # noqa: F401 + except ImportError: + return "缺少依赖: pip install openai-whisper" + try: + import pysilk # noqa: F401 + except ImportError: + return "缺少依赖: pip install silk-python" + + username = resolve_username(chat_name) + if not username: + return f"找不到聊天对象: {chat_name}" + + row = _fetch_voice_row(username, local_id) + if row is None: + return f"找不到 local_id={local_id} 的语音消息" + + voice_data, create_time = row + wav_path, _ = _silk_to_wav(voice_data, create_time, username) + + model = _get_whisper_model() + result = model.transcribe(wav_path) + lang = result.get("language", "unknown") + text = result.get("text", "").strip() + + time_label = datetime.fromtimestamp(create_time).strftime('%Y-%m-%d %H:%M') + return f"[{time_label}] ({lang})\n{text}" + + if __name__ == "__main__": mcp.run()