feat(detection): 改进微信账户检测逻辑

.gitignore

@@ -11,3 +11,4 @@ wheels/
 /output/
 /.idea
 /.history/
+/.augment/

src/wechat_decrypt_tool/api.py

@@ -1,12 +1,19 @@
 """微信解密工具的FastAPI Web服务器"""
 
+import time
 from typing import Optional
-from fastapi import FastAPI, HTTPException
+
+from fastapi import FastAPI, HTTPException, Request
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 
+from .logging_config import setup_logging, get_logger
 from .wechat_decrypt import decrypt_wechat_databases
 
+# 初始化日志系统
+setup_logging()
+logger = get_logger(__name__)
+
 
 app = FastAPI(
     title="微信数据库解密工具",
@@ -24,6 +31,26 @@ app.add_middleware(
 )
 
 
+@app.middleware("http")
+async def log_requests(request: Request, call_next):
+    """记录所有HTTP请求的中间件"""
+    start_time = time.time()
+
+    # 记录请求开始
+    logger.info(f"请求开始: {request.method} {request.url}")
+
+    # 处理请求
+    response = await call_next(request)
+
+    # 计算处理时间
+    process_time = time.time() - start_time
+
+    # 记录请求完成
+    logger.info(f"请求完成: {request.method} {request.url} - 状态码: {response.status_code} - 耗时: {process_time:.3f}s")
+
+    return response
+
+
 class DecryptRequest(BaseModel):
     """解密请求模型"""
     key: str
@@ -36,6 +63,7 @@ class DecryptRequest(BaseModel):
 @app.get("/", summary="根端点")
 async def root():
     """根端点"""
+    logger.info("访问根端点")
     return {"message": "微信数据库解密工具 API"}
 
 
@@ -45,10 +73,11 @@ async def root():
 @app.get("/api/wechat-detection", summary="详细检测微信安装信息")
 async def detect_wechat_detailed():
     """详细检测微信安装信息，包括版本、路径、消息目录等。"""
+    logger.info("开始执行微信检测")
     try:
         from .wechat_detection import detect_wechat_installation
         info = detect_wechat_installation()
-        
+
         # 添加一些统计信息
         stats = {
             'total_databases': len(info['databases']),
@@ -57,13 +86,16 @@ async def detect_wechat_detailed():
             'has_wechat_installed': info['wechat_install_path'] is not None,
             'detection_time': __import__('datetime').datetime.now().isoformat()
         }
-        
+
+        logger.info(f"微信检测完成: 检测到 {stats['total_user_accounts']} 个账户, {stats['total_databases']} 个数据库")
+
         return {
             'status': 'success',
             'data': info,
             'statistics': stats
         }
     except Exception as e:
+        logger.error(f"微信检测失败: {str(e)}")
         return {
             'status': 'error',
             'error': str(e),
@@ -85,9 +117,11 @@ async def decrypt_databases(request: DecryptRequest):
 
     如果不提供db_storage_path，将自动检测所有微信数据库
     """
+    logger.info(f"开始解密请求: db_storage_path={request.db_storage_path}")
     try:
         # 验证密钥格式
         if not request.key or len(request.key) != 64:
+            logger.warning(f"密钥格式无效: 长度={len(request.key) if request.key else 0}")
             raise HTTPException(status_code=400, detail="密钥格式无效，必须是64位十六进制字符串")
 
         # 使用新的解密API
@@ -97,8 +131,11 @@ async def decrypt_databases(request: DecryptRequest):
         )
 
         if results["status"] == "error":
+            logger.error(f"解密失败: {results['message']}")
             raise HTTPException(status_code=400, detail=results["message"])
 
+        logger.info(f"解密完成: 成功 {results['successful_count']}/{results['total_databases']} 个数据库")
+
         return {
             "status": "completed" if results["status"] == "success" else "failed",
             "total_databases": results["total_databases"],
@@ -111,6 +148,7 @@ async def decrypt_databases(request: DecryptRequest):
         }
 
     except Exception as e:
+        logger.error(f"解密API异常: {str(e)}")
         raise HTTPException(status_code=500, detail=str(e))
 
 
@@ -120,6 +158,7 @@ async def decrypt_databases(request: DecryptRequest):
 @app.get("/api/health", summary="健康检查端点")
 async def health_check():
     """健康检查端点"""
+    logger.debug("健康检查请求")
     return {"status": "healthy", "service": "微信解密工具"}
 
 

src/wechat_decrypt_tool/logging_config.py

@@ -0,0 +1,159 @@
+"""
+统一的日志配置模块
+"""
+
+import logging
+import sys
+from datetime import datetime
+from pathlib import Path
+from typing import Optional
+
+
+class ColoredFormatter(logging.Formatter):
+    """彩色日志格式化器"""
+
+    # ANSI颜色代码
+    COLORS = {
+        'DEBUG': '\033[36m',      # 青色
+        'INFO': '\033[32m',       # 绿色
+        'WARNING': '\033[33m',    # 黄色
+        'ERROR': '\033[31m',      # 红色
+        'CRITICAL': '\033[35m',   # 紫色
+        'RESET': '\033[0m'        # 重置
+    }
+
+    def format(self, record):
+        # 获取原始格式化的消息
+        formatted = super().format(record)
+
+        # 只在控制台输出时添加颜色
+        if hasattr(sys.stderr, 'isatty') and sys.stderr.isatty():
+            level_color = self.COLORS.get(record.levelname, self.COLORS['RESET'])
+            reset_color = self.COLORS['RESET']
+
+            # 为日志级别添加颜色
+            formatted = formatted.replace(
+                f' | {record.levelname} | ',
+                f' | {level_color}{record.levelname}{reset_color} | '
+            )
+
+        return formatted
+
+
+class WeChatLogger:
+    """微信解密工具统一日志管理器"""
+    
+    _instance: Optional['WeChatLogger'] = None
+    _initialized = False
+    
+    def __new__(cls):
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+        return cls._instance
+    
+    def __init__(self):
+        if not self._initialized:
+            self.setup_logging()
+            WeChatLogger._initialized = True
+    
+    def setup_logging(self, log_level: str = "INFO"):
+        """设置日志配置"""
+        # 创建日志目录
+        now = datetime.now()
+        log_dir = Path("output/logs") / str(now.year) / f"{now.month:02d}" / f"{now.day:02d}"
+        log_dir.mkdir(parents=True, exist_ok=True)
+        
+        # 设置日志文件名
+        date_str = now.strftime("%d")
+        self.log_file = log_dir / f"{date_str}_wechat_tool.log"
+        
+        # 清除现有的处理器
+        root_logger = logging.getLogger()
+        for handler in root_logger.handlers[:]:
+            root_logger.removeHandler(handler)
+        
+        # 配置日志格式
+        # 文件格式（无颜色）
+        file_formatter = logging.Formatter(
+            '%(asctime)s | %(levelname)s | %(name)s | %(message)s',
+            datefmt='%Y-%m-%d %H:%M:%S'
+        )
+
+        # 控制台格式（有颜色）
+        console_formatter = ColoredFormatter(
+            '%(asctime)s | %(levelname)s | %(name)s | %(message)s',
+            datefmt='%Y-%m-%d %H:%M:%S'
+        )
+
+        # 文件处理器
+        file_handler = logging.FileHandler(self.log_file, encoding='utf-8')
+        file_handler.setFormatter(file_formatter)
+        file_handler.setLevel(getattr(logging, log_level.upper()))
+
+        # 控制台处理器
+        console_handler = logging.StreamHandler(sys.stdout)
+        console_handler.setFormatter(console_formatter)
+        console_handler.setLevel(getattr(logging, log_level.upper()))
+        
+        # 配置根日志器
+        root_logger.setLevel(getattr(logging, log_level.upper()))
+        root_logger.addHandler(file_handler)
+        root_logger.addHandler(console_handler)
+        
+        # 只为uvicorn日志器添加文件处理器，保持其原有的控制台处理器（带颜色）
+        uvicorn_logger = logging.getLogger("uvicorn")
+        uvicorn_logger.addHandler(file_handler)
+        uvicorn_logger.setLevel(getattr(logging, log_level.upper()))
+
+        # 只为uvicorn.access日志器添加文件处理器
+        uvicorn_access_logger = logging.getLogger("uvicorn.access")
+        uvicorn_access_logger.addHandler(file_handler)
+        uvicorn_access_logger.setLevel(getattr(logging, log_level.upper()))
+
+        # 只为uvicorn.error日志器添加文件处理器
+        uvicorn_error_logger = logging.getLogger("uvicorn.error")
+        uvicorn_error_logger.addHandler(file_handler)
+        uvicorn_error_logger.setLevel(getattr(logging, log_level.upper()))
+
+        # 配置FastAPI日志器
+        fastapi_logger = logging.getLogger("fastapi")
+        fastapi_logger.handlers = []
+        fastapi_logger.addHandler(file_handler)
+        fastapi_logger.addHandler(console_handler)
+        fastapi_logger.setLevel(getattr(logging, log_level.upper()))
+        
+        # 记录初始化信息
+        logger = logging.getLogger(__name__)
+        logger.info("=" * 60)
+        logger.info("微信解密工具日志系统初始化完成")
+        logger.info(f"日志文件: {self.log_file}")
+        logger.info(f"日志级别: {log_level}")
+        logger.info("=" * 60)
+        
+        return self.log_file
+    
+    def get_logger(self, name: str) -> logging.Logger:
+        """获取指定名称的日志器"""
+        return logging.getLogger(name)
+    
+    def get_log_file_path(self) -> Path:
+        """获取当前日志文件路径"""
+        return self.log_file
+
+
+def setup_logging(log_level: str = "INFO") -> Path:
+    """设置日志配置的便捷函数"""
+    logger_manager = WeChatLogger()
+    return logger_manager.setup_logging(log_level)
+
+
+def get_logger(name: str) -> logging.Logger:
+    """获取日志器的便捷函数"""
+    logger_manager = WeChatLogger()
+    return logger_manager.get_logger(name)
+
+
+def get_log_file_path() -> Path:
+    """获取当前日志文件路径的便捷函数"""
+    logger_manager = WeChatLogger()
+    return logger_manager.get_log_file_path()

src/wechat_decrypt_tool/wechat_decrypt.py

@@ -26,29 +26,16 @@ WECHAT_KEY = None
 SQLITE_HEADER = b"SQLite format 3\x00"
 
 def setup_logging():
-    """设置日志配置"""
+    """设置日志配置 - 已弃用，使用统一的日志配置"""
+    from .logging_config import setup_logging as unified_setup_logging, get_log_file_path
+
+    # 使用统一的日志配置
+    log_file = unified_setup_logging()
+    log_dir = log_file.parent
+
     import logging
-    
-    # 创建日志目录
-    now = datetime.now()
-    log_dir = Path("output/logs") / str(now.year) / f"{now.month:02d}" / f"{now.day:02d}"
-    log_dir.mkdir(parents=True, exist_ok=True)
-    
-    # 设置日志文件名
-    date_str = now.strftime("%d")
-    log_file = log_dir / f"{date_str}_decrypt.log"
-    
-    # 配置日志
-    logging.basicConfig(
-        level=logging.INFO,
-        format='%(asctime)s | %(levelname)s | %(message)s',
-        handlers=[
-            logging.FileHandler(log_file, encoding='utf-8'),
-            logging.StreamHandler()
-        ]
-    )
-    
-    logging.info(f"日志系统初始化完成，日志文件: {log_file}")
+    logger = logging.getLogger(__name__)
+    logger.info(f"解密模块日志系统初始化完成，日志文件: {log_file}")
     return log_dir
 
 
@@ -72,30 +59,31 @@ class WeChatDatabaseDecryptor:
     
     def decrypt_database(self, db_path: str, output_path: str) -> bool:
         """解密微信4.x版本数据库
-        
+
         使用SQLCipher 4.0参数:
         - PBKDF2-SHA512, 256000轮迭代
         - AES-256-CBC加密
         - HMAC-SHA512验证
         - 页面大小4096字节
         """
-        import logging
-        
-        logging.info(f"开始解密数据库: {db_path}")
+        from .logging_config import get_logger
+        logger = get_logger(__name__)
+
+        logger.info(f"开始解密数据库: {db_path}")
         
         try:
             with open(db_path, 'rb') as f:
                 encrypted_data = f.read()
             
-            logging.info(f"读取文件大小: {len(encrypted_data)} bytes")
-            
+            logger.info(f"读取文件大小: {len(encrypted_data)} bytes")
+
             if len(encrypted_data) < 4096:
-                logging.warning(f"文件太小，跳过解密: {db_path}")
+                logger.warning(f"文件太小，跳过解密: {db_path}")
                 return False
-            
+
             # 检查是否已经是解密的数据库
             if encrypted_data.startswith(SQLITE_HEADER):
-                logging.info(f"文件已是SQLite格式，直接复制: {db_path}")
+                logger.info(f"文件已是SQLite格式，直接复制: {db_path}")
                 with open(output_path, 'wb') as f:
                     f.write(encrypted_data)
                 return True
@@ -152,7 +140,7 @@ class WeChatDatabaseDecryptor:
                 page_num = cur_page + 1  # 页面编号从1开始
                 
                 if len(page) < page_size:
-                    logging.warning(f"页面 {page_num} 大小不足: {len(page)} bytes")
+                    logger.warning(f"页面 {page_num} 大小不足: {len(page)} bytes")
                     break
                 
                 # 确定偏移量：第一页(cur_page == 0)需要跳过salt
@@ -174,7 +162,7 @@ class WeChatDatabaseDecryptor:
                 expected_hmac = mac.digest()
                 
                 if stored_hmac != expected_hmac:
-                    logging.warning(f"页面 {page_num} HMAC验证失败")
+                    logger.warning(f"页面 {page_num} HMAC验证失败")
                     failed_pages += 1
                     continue
                 
@@ -199,21 +187,21 @@ class WeChatDatabaseDecryptor:
                     successful_pages += 1
                 
                 except Exception as e:
-                    logging.error(f"页面 {page_num} AES解密失败: {e}")
+                    logger.error(f"页面 {page_num} AES解密失败: {e}")
                     failed_pages += 1
                     continue
-            
-            logging.info(f"解密完成: 成功 {successful_pages} 页, 失败 {failed_pages} 页")
-            
+
+            logger.info(f"解密完成: 成功 {successful_pages} 页, 失败 {failed_pages} 页")
+
             # 写入解密后的文件
             with open(output_path, 'wb') as f:
                 f.write(decrypted_data)
-            
-            logging.info(f"解密文件大小: {len(decrypted_data)} bytes")
+
+            logger.info(f"解密文件大小: {len(decrypted_data)} bytes")
             return True
-            
+
         except Exception as e:
-            logging.error(f"解密失败: {db_path}, 错误: {e}")
+            logger.error(f"解密失败: {db_path}, 错误: {e}")
             return False
 
 def decrypt_wechat_databases(db_storage_path: str = None, key: str = None) -> dict:
@@ -238,10 +226,10 @@ def decrypt_wechat_databases(db_storage_path: str = None, key: str = None) -> di
             "failed_files": ["解密失败的文件列表"]
         }
     """
-    import logging
+    from .logging_config import get_logger
 
-    # 初始化日志系统
-    setup_logging()
+    # 获取日志器
+    logger = get_logger(__name__)
 
     # 验证密钥是否提供
     if not key:
@@ -258,25 +246,58 @@ def decrypt_wechat_databases(db_storage_path: str = None, key: str = None) -> di
 
     decrypt_key = key
 
-    logging.info("=" * 60)
-    logging.info("微信4.x数据库解密工具 - API模式")
-    logging.info("=" * 60)
+    logger.info("=" * 60)
+    logger.info("微信4.x数据库解密工具 - API模式")
+    logger.info("=" * 60)
 
-    # 创建输出目录
-    output_dir = Path("output/databases")
-    output_dir.mkdir(parents=True, exist_ok=True)
-    logging.info(f"输出目录: {output_dir.absolute()}")
+    # 创建基础输出目录
+    base_output_dir = Path("output/databases")
+    base_output_dir.mkdir(parents=True, exist_ok=True)
+    logger.info(f"基础输出目录: {base_output_dir.absolute()}")
+
+    # 查找数据库文件并按账号组织
+    account_databases = {}  # {account_name: [db_info, ...]}
 
-    # 查找数据库文件
     if db_storage_path:
         # 使用指定路径查找数据库
-        database_paths = []
         storage_path = Path(db_storage_path)
         if storage_path.exists():
+            # 尝试从路径中提取账号名
+            account_name = "unknown_account"
+            path_parts = storage_path.parts
+
+            # 常见的微信账号格式模式
+            account_patterns = ['wxid_']
+
+            for part in path_parts:
+                # 检查是否匹配已知的账号格式
+                for pattern in account_patterns:
+                    if part.startswith(pattern):
+                        account_name = part.split('_')[0] if '_' in part else part
+                        break
+                if account_name != "unknown_account":
+                    break
+
+            # 如果没有匹配到已知格式，使用包含数据库的目录名
+            if account_name == "unknown_account":
+                # 查找包含db_storage的父目录作为账号名
+                for part in reversed(path_parts):
+                    if part != "db_storage" and len(part) > 3:
+                        account_name = part
+                        break
+
+            databases = []
             for db_file in storage_path.glob("*.db"):
                 if db_file.is_file() and db_file.name != 'key_info.db':
-                    database_paths.append(str(db_file))
-            logging.info(f"在指定路径找到 {len(database_paths)} 个数据库文件")
+                    databases.append({
+                        'path': str(db_file),
+                        'name': db_file.name,
+                        'account': account_name
+                    })
+
+            if databases:
+                account_databases[account_name] = databases
+                logger.info(f"在指定路径找到账号 {account_name} 的 {len(databases)} 个数据库文件")
         else:
             return {
                 "status": "error",
@@ -284,90 +305,135 @@ def decrypt_wechat_databases(db_storage_path: str = None, key: str = None) -> di
                 "total_databases": 0,
                 "successful_count": 0,
                 "failed_count": 0,
-                "output_directory": str(output_dir.absolute()),
+                "output_directory": str(base_output_dir.absolute()),
                 "processed_files": [],
                 "failed_files": []
             }
     else:
-        # 使用检测函数获取数据库列表
+        # 使用检测函数获取数据库列表，按账号组织
         try:
             from .wechat_detection import detect_wechat_installation
             wechat_info = detect_wechat_installation()
-            if wechat_info and wechat_info.get('databases'):
-                database_paths = [db['path'] for db in wechat_info['databases']]
-                logging.info(f"通过检测函数找到 {len(database_paths)} 个数据库文件")
-            else:
-                database_paths = []
-                logging.warning("检测函数未找到数据库文件")
-        except Exception as e:
-            logging.error(f"检测函数调用失败: {e}")
-            database_paths = []
+            if wechat_info and wechat_info.get('accounts'):
+                for account in wechat_info['accounts']:
+                    account_name = account['account_name']
+                    databases = []
+                    for db in account['databases']:
+                        databases.append({
+                            'path': db['path'],
+                            'name': db['name'],
+                            'account': account_name
+                        })
+                    if databases:
+                        account_databases[account_name] = databases
 
-    if not database_paths:
+                total_dbs = sum(len(dbs) for dbs in account_databases.values())
+                logger.info(f"通过检测函数找到 {len(account_databases)} 个账号的 {total_dbs} 个数据库文件")
+            else:
+                logger.warning("检测函数未找到数据库文件")
+        except Exception as e:
+            logger.error(f"检测函数调用失败: {e}")
+
+    if not account_databases:
         return {
             "status": "error",
             "message": "未找到微信数据库文件！请确保微信已安装并有数据，或提供正确的db_storage路径",
             "total_databases": 0,
             "successful_count": 0,
             "failed_count": 0,
-            "output_directory": str(output_dir.absolute()),
+            "output_directory": str(base_output_dir.absolute()),
             "processed_files": [],
             "failed_files": []
         }
 
+    # 计算总数据库数量
+    total_databases = sum(len(dbs) for dbs in account_databases.values())
+
     # 创建解密器
     try:
         decryptor = WeChatDatabaseDecryptor(decrypt_key)
-        logging.info("解密器初始化成功")
+        logger.info("解密器初始化成功")
     except ValueError as e:
         return {
             "status": "error",
             "message": f"密钥错误: {e}",
-            "total_databases": len(database_paths),
+            "total_databases": total_databases,
             "successful_count": 0,
             "failed_count": 0,
-            "output_directory": str(output_dir.absolute()),
+            "output_directory": str(base_output_dir.absolute()),
             "processed_files": [],
             "failed_files": []
         }
 
-    # 批量解密
+    # 按账号批量解密
     success_count = 0
-    total_count = len(database_paths)
     processed_files = []
     failed_files = []
+    account_results = {}
 
-    for db_path in database_paths:
-        # 生成输出文件名
-        db_name = os.path.basename(db_path)
-        output_path = output_dir / f"decrypted_{db_name}"
+    for account_name, databases in account_databases.items():
+        logger.info(f"开始解密账号 {account_name} 的 {len(databases)} 个数据库")
 
-        # 解密数据库
-        if decryptor.decrypt_database(db_path, str(output_path)):
-            success_count += 1
-            processed_files.append(str(output_path))
-        else:
-            failed_files.append(db_path)
-            logging.error(f"解密失败: {db_path}")
+        # 为每个账号创建专门的输出目录
+        account_output_dir = base_output_dir / account_name
+        account_output_dir.mkdir(parents=True, exist_ok=True)
+        logger.info(f"账号 {account_name} 输出目录: {account_output_dir}")
+
+        account_success = 0
+        account_processed = []
+        account_failed = []
+
+        for db_info in databases:
+            db_path = db_info['path']
+            db_name = db_info['name']
+
+            # 生成输出文件名（保持原始文件名，不添加前缀）
+            output_path = account_output_dir / db_name
+
+            # 解密数据库
+            logger.info(f"解密 {account_name}/{db_name}")
+            if decryptor.decrypt_database(db_path, str(output_path)):
+                account_success += 1
+                success_count += 1
+                account_processed.append(str(output_path))
+                processed_files.append(str(output_path))
+                logger.info(f"解密成功: {account_name}/{db_name}")
+            else:
+                account_failed.append(db_path)
+                failed_files.append(db_path)
+                logger.error(f"解密失败: {account_name}/{db_name}")
+
+        # 记录账号解密结果
+        account_results[account_name] = {
+            "total": len(databases),
+            "success": account_success,
+            "failed": len(databases) - account_success,
+            "output_dir": str(account_output_dir),
+            "processed_files": account_processed,
+            "failed_files": account_failed
+        }
+
+        logger.info(f"账号 {account_name} 解密完成: 成功 {account_success}/{len(databases)}")
 
     # 返回结果
     result = {
         "status": "success" if success_count > 0 else "error",
-        "message": f"解密完成: 成功 {success_count}/{total_count}",
-        "total_databases": total_count,
+        "message": f"解密完成: 成功 {success_count}/{total_databases}",
+        "total_databases": total_databases,
         "successful_count": success_count,
-        "failed_count": total_count - success_count,
-        "output_directory": str(output_dir.absolute()),
+        "failed_count": total_databases - success_count,
+        "output_directory": str(base_output_dir.absolute()),
         "processed_files": processed_files,
-        "failed_files": failed_files
+        "failed_files": failed_files,
+        "account_results": account_results  # 新增：按账号的详细结果
     }
 
-    logging.info("=" * 60)
-    logging.info("解密任务完成!")
-    logging.info(f"成功: {success_count}/{total_count}")
-    logging.info(f"失败: {total_count - success_count}/{total_count}")
-    logging.info(f"输出目录: {output_dir.absolute()}")
-    logging.info("=" * 60)
+    logger.info("=" * 60)
+    logger.info("解密任务完成!")
+    logger.info(f"成功: {success_count}/{total_databases}")
+    logger.info(f"失败: {total_databases - success_count}/{total_databases}")
+    logger.info(f"输出目录: {output_dir.absolute()}")
+    logger.info("=" * 60)
 
     return result
 

src/wechat_decrypt_tool/wechat_detection.py

@@ -201,10 +201,10 @@ def auto_detect_wechat_data_dirs():
 
     # 策略1：常见驱动器扫描微信相关目录
     common_wechat_patterns = [
-        "WeChat Files", "wechat_files", "xwechat_files", "wechatMSG", 
+        "WeChat Files", "wechat_files", "xwechat_files", "wechatMSG",
         "WeChat", "微信", "Weixin", "wechat"
     ]
-    
+
     # 扫描常见驱动器
     drives = ['C:', 'D:', 'E:', 'F:']
     for drive in drives:
@@ -326,30 +326,181 @@ def get_wx_dir_by_reg(wxid="all"):
 
     return wx_dir if os.path.exists(wx_dir) else None
 
+def detect_wechat_accounts_from_backup(backup_base_path: str = None) -> List[Dict[str, Any]]:
+    """
+    从指定的备份路径检测微信账号
+
+    Args:
+        backup_base_path: 微信文件基础路径，如果为None则自动检测
+
+    Returns:
+        账号信息列表，每个账号包含：
+        - account_name: 账号名
+        - backup_dir: 备份目录路径
+        - data_dir: 实际数据目录路径
+        - databases: 数据库文件列表
+    """
+    accounts = []
+
+    # 如果没有指定路径，尝试自动检测
+    if backup_base_path is None:
+        # 使用自动检测找到包含Backup的路径
+        detected_dirs = auto_detect_wechat_data_dirs()
+        for detected_dir in detected_dirs:
+            # 首先检查直接的Backup目录
+            backup_test_dir = os.path.join(detected_dir, "Backup")
+            if os.path.exists(backup_test_dir):
+                backup_base_path = detected_dir
+                break
+
+            # 然后检查子目录中的Backup目录（如xwechat_files/Backup）
+            try:
+                for subdir in os.listdir(detected_dir):
+                    subdir_path = os.path.join(detected_dir, subdir)
+                    if os.path.isdir(subdir_path):
+                        backup_test_dir = os.path.join(subdir_path, "Backup")
+                        if os.path.exists(backup_test_dir):
+                            backup_base_path = subdir_path
+                            break
+                if backup_base_path:
+                    break
+            except (PermissionError, OSError):
+                continue
+
+        # 如果还是没找到，返回空列表
+        if backup_base_path is None:
+            return accounts
+
+    # 检查备份目录
+    backup_dir = os.path.join(backup_base_path, "Backup")
+    if not os.path.exists(backup_dir):
+        return accounts
+
+    try:
+        # 遍历备份目录下的所有子文件夹（每个代表一个账号）
+        for item in os.listdir(backup_dir):
+            account_backup_path = os.path.join(backup_dir, item)
+            if not os.path.isdir(account_backup_path):
+                continue
+
+            account_name = item
+
+            # 在上级目录中查找对应的实际数据文件夹
+            # 命名规则：{账号名}_{随机字符}
+            data_dir = None
+            try:
+                for data_item in os.listdir(backup_base_path):
+                    data_item_path = os.path.join(backup_base_path, data_item)
+                    if (os.path.isdir(data_item_path) and
+                        data_item.startswith(f"{account_name}_") and
+                        data_item != "Backup"):
+                        data_dir = data_item_path
+                        break
+            except (PermissionError, OSError):
+                continue
+
+            # 收集该账号的数据库文件
+            databases = []
+            if data_dir and os.path.exists(data_dir):
+                databases = collect_account_databases(data_dir, account_name)
+
+            account_info = {
+                "account_name": account_name,
+                "backup_dir": account_backup_path,
+                "data_dir": data_dir,
+                "databases": databases,
+                "database_count": len(databases)
+            }
+
+            accounts.append(account_info)
+
+    except (PermissionError, OSError) as e:
+        # 如果无法访问备份目录，返回空列表
+        pass
+
+    return accounts
+
+
+def collect_account_databases(data_dir: str, account_name: str) -> List[Dict[str, Any]]:
+    """
+    收集指定账号数据目录下的所有数据库文件
+
+    Args:
+        data_dir: 账号数据目录
+        account_name: 账号名
+
+    Returns:
+        数据库文件信息列表
+    """
+    databases = []
+
+    if not os.path.exists(data_dir):
+        return databases
+
+    try:
+        # 递归查找所有.db文件
+        for root, dirs, files in os.walk(data_dir):
+            for file_name in files:
+                if not file_name.endswith('.db'):
+                    continue
+
+                # 排除不需要解密的数据库
+                if file_name in ["key_info.db"]:
+                    continue
+
+                db_path = os.path.join(root, file_name)
+
+                # 确定数据库类型
+                db_type = re.sub(r'\d*\.db$', '', file_name)
+
+                try:
+                    file_size = os.path.getsize(db_path)
+                except OSError:
+                    file_size = 0
+
+                db_info = {
+                    "path": db_path,
+                    "name": file_name,
+                    "type": db_type,
+                    "size": file_size,
+                    "relative_path": os.path.relpath(db_path, data_dir)
+                }
+
+                databases.append(db_info)
+
+    except (PermissionError, OSError):
+        pass
+
+    return databases
+
+
 def detect_wechat_installation() -> Dict[str, Any]:
     """
-    检测微信安装情况 - 完全按照PyWxDump的逻辑实现
+    检测微信安装情况 - 改进的多账户检测逻辑
     """
     result = {
         "wechat_version": None,
         "wechat_install_path": None,
         "wechat_exe_path": None,
+        "is_running": False,
+        "accounts": [],
+        "total_accounts": 0,
+        "total_databases": 0,
+        "detection_errors": [],
+        "detection_methods": [],
+        # 保持向后兼容性的字段
         "wechat_data_dirs": [],
         "message_dirs": [],
         "databases": [],
-        "version_detected": None,
-        "is_running": False,
-        "user_accounts": [],
-        "detection_errors": [],
-        "detection_methods": []
+        "user_accounts": []
     }
 
-    # 进程检测 - 只检测Weixin.exe（按照用户要求）
+    # 1. 进程检测 - 检测微信是否运行
     result["detection_methods"].append("进程检测")
     process_list = get_process_list()
 
     for pid, process_name in process_list:
-        # 只检查Weixin.exe进程
+        # 检查Weixin.exe进程
         if process_name.lower() == 'weixin.exe':
             try:
                 exe_path = get_process_exe_path(pid)
@@ -377,63 +528,98 @@ def detect_wechat_installation() -> Dict[str, Any]:
     if not result["is_running"]:
         result["detection_methods"].append("未检测到微信进程")
 
-    # 2. 使用自动检测逻辑获取微信目录和数据库
-    result["detection_methods"].append("目录自动检测")
+    # 2. 使用新的账号检测逻辑
+    result["detection_methods"].append("多账户检测")
     try:
-        wx_dir = get_wx_dir_by_reg()
-        if wx_dir and os.path.exists(wx_dir):
-            result["wechat_data_dirs"].append(wx_dir)
-            result["detection_methods"].append(f"通过自动检测找到微信目录: {wx_dir}")
+        # 检测指定路径下的微信账号
+        accounts = detect_wechat_accounts_from_backup()
+        result["accounts"] = accounts
+        result["total_accounts"] = len(accounts)
 
-            # 使用PyWxDump的get_wx_db函数获取数据库信息
-            db_list = get_wx_db(msg_dir=wx_dir)  # 移除db_types限制，获取所有.db文件
+        # 统计总数据库数量
+        total_db_count = sum(account["database_count"] for account in accounts)
+        result["total_databases"] = total_db_count
 
-            # 统计用户账户和消息目录
-            user_accounts_set = set()
-            message_dirs_set = set()
+        if accounts:
+            result["detection_methods"].append(f"在指定路径检测到 {len(accounts)} 个微信账户")
+            result["detection_methods"].append(f"总计 {total_db_count} 个数据库文件")
 
-            for db_info in db_list:
-                wxid = db_info["wxid"]
-                wxid_dir = db_info["wxid_dir"]
-                db_path = db_info["db_path"]
-                db_type = db_info["db_type"]
-
-                # 添加用户账户
-                user_accounts_set.add(wxid)
-                message_dirs_set.add(wxid_dir)
-
-                # 添加数据库信息
-                if os.path.exists(db_path):
-                    result["databases"].append({
-                        "path": db_path,
-                        "name": os.path.basename(db_path),
-                        "type": db_type,
-                        "size": os.path.getsize(db_path),
-                        "user": wxid,
-                        "user_dir": wxid_dir
-                    })
-
-            # 转换为列表
-            result["user_accounts"] = list(user_accounts_set)
-            result["message_dirs"] = list(message_dirs_set)
-
-            result["detection_methods"].append(f"检测到 {len(result['user_accounts'])} 个用户账户")
-            result["detection_methods"].append(f"检测到 {len(result['databases'])} 个数据库文件")
-
-            # 按数据库类型统计
-            db_type_count = {}
-            for db in result["databases"]:
-                db_type = db["type"]
-                db_type_count[db_type] = db_type_count.get(db_type, 0) + 1
-
-            if db_type_count:
-                type_summary = ", ".join([f"{k}({v})" for k, v in db_type_count.items()])
-                result["detection_methods"].append(f"数据库类型分布: {type_summary}")
+            # 为每个账户添加详细信息
+            for account in accounts:
+                account_name = account["account_name"]
+                db_count = account["database_count"]
+                data_dir_status = "已找到" if account["data_dir"] else "未找到"
+                result["detection_methods"].append(f"账户 {account_name}: {db_count} 个数据库, 数据目录{data_dir_status}")
         else:
-            result["detection_methods"].append("自动检测未找到微信目录")
-    except Exception as e:
-        result["detection_errors"].append(f"目录检测失败: {str(e)}")
+            result["detection_methods"].append("未在指定路径检测到微信账户")
 
+        # 填充向后兼容性字段
+        for account in accounts:
+            if account["data_dir"]:
+                result["wechat_data_dirs"].append(account["data_dir"])
+                result["message_dirs"].append(account["data_dir"])
+            result["user_accounts"].append(account["account_name"])
+
+            # 添加数据库到兼容性列表
+            for db in account["databases"]:
+                result["databases"].append({
+                    "path": db["path"],
+                    "name": db["name"],
+                    "type": db["type"],
+                    "size": db["size"],
+                    "user": account["account_name"],
+                    "user_dir": account["data_dir"]
+                })
+
+    except Exception as e:
+        result["detection_errors"].append(f"账户检测失败: {str(e)}")
+
+    # 3. 如果新检测方法没有找到账户，尝试旧的检测方法作为备用
+    if not result["accounts"]:
+        result["detection_methods"].append("备用检测方法")
+        try:
+            wx_dir = get_wx_dir_by_reg()
+            if wx_dir and os.path.exists(wx_dir):
+                result["wechat_data_dirs"].append(wx_dir)
+                result["detection_methods"].append(f"通过备用方法找到微信目录: {wx_dir}")
+
+                # 使用旧的检测逻辑
+                db_list = get_wx_db(msg_dir=wx_dir)
+
+                # 按账户组织数据库
+                account_db_map = {}
+                for db_info in db_list:
+                    wxid = db_info["wxid"]
+                    if wxid not in account_db_map:
+                        account_db_map[wxid] = {
+                            "account_name": wxid,
+                            "backup_dir": None,
+                            "data_dir": db_info["wxid_dir"],
+                            "databases": [],
+                            "database_count": 0
+                        }
+
+                    if os.path.exists(db_info["db_path"]):
+                        db_entry = {
+                            "path": db_info["db_path"],
+                            "name": os.path.basename(db_info["db_path"]),
+                            "type": db_info["db_type"],
+                            "size": os.path.getsize(db_info["db_path"]),
+                            "relative_path": os.path.relpath(db_info["db_path"], db_info["wxid_dir"])
+                        }
+                        account_db_map[wxid]["databases"].append(db_entry)
+                        account_db_map[wxid]["database_count"] += 1
+
+                result["accounts"] = list(account_db_map.values())
+                result["total_accounts"] = len(result["accounts"])
+                result["total_databases"] = sum(account["database_count"] for account in result["accounts"])
+
+                result["detection_methods"].append(f"备用方法检测到 {result['total_accounts']} 个账户")
+                result["detection_methods"].append(f"总计 {result['total_databases']} 个数据库文件")
+            else:
+                result["detection_methods"].append("备用检测方法未找到微信目录")
+        except Exception as e:
+            result["detection_errors"].append(f"备用检测失败: {str(e)}")
 
     return result