ai-train_platform/util/smb.py

import os
from smbclient import (
    register_session, 
    listdir, 
    scandir, 
    stat,
    makedirs,     # 递归创建目录
    open_file
)
from datetime import datetime
import numpy as np
import cv2
import pandas as pd
import io

class SMBScanner:
    def __init__(self, ip, username, password, domain=''):
        self.ip = ip
        self.username = username
        self.password = password
        self.domain = domain
        
    def connect(self):
        """连接 SMB 共享"""
        try:
            register_session(
                self.ip, 
                username=self.username, 
                password=self.password
            )
            print(f"成功连接到 {self.ip}")
            return True
        except Exception as e:
            print(f"连接失败: {e}")
            return False
        
    def directory_exists(self, full_path):
        """
        检查目录是否存在
        
        Args:
            full_path: 全路径
            
        Returns:
            bool: 目录是否存在
        """
        if not self.connect():
            return False
        
        try:
            # 尝试获取目录信息
            dir_stat = stat(full_path)
            return True
        except Exception as e:
            print(f"未知错误: {e}")
            return False
    
    def read_excel(self, smb_path, sheet_name=0):
        """读取Excel文件"""
        if not self.connect():
            return False
        
        try:
            with open_file(smb_path, mode='rb') as smb_file:
                file_content = smb_file.read()
            
            excel_data = io.BytesIO(file_content)
            df = pd.read_excel(excel_data, sheet_name=sheet_name)
            return df
            
        except Exception as e:
            print(f"读取Excel失败: {e}")
            return None

    def process_all_rows(self, df):
        """
        处理所有行数据
        """
        if df is None or df.empty:
            print("没有数据可处理")
            return
        
        print("开始处理每行数据:")
        print("=" * 60)
        
        results = []
        
        for row_number, (index, row) in enumerate(df.iterrows(), 1):
            # print(f"\n处理第 {row_number} 行:")
            # print("-" * 40)
            
            # 显示行数据
            for col_name in df.columns:
                value = row[col_name]
                # print(f"  {col_name}: {value}")
            
            # 处理逻辑（根据实际需求修改）
            processed_row = {
                'row_number': row_number,
                'original_index': index,
                'data': row.to_dict(),
                'summary': f"处理了 {len(df.columns)} 个字段"
            }
            
            results.append(processed_row)
            
            # 进度显示
            if row_number % 10 == 0 or row_number == len(df):
                print(f"\n 进度: {row_number}/{len(df)} ({row_number/len(df)*100:.1f}%)")
        
        # print("\n" + "=" * 60)
        print(f"处理完成！共处理 {len(results)} 行数据")
        
        return results

    def get_smb_images(self, full_path):
        """SMB 图片文件获取"""
        image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.tiff']
        image_files = []
        
        try:
            for entry in scandir(full_path):
                if entry.is_file():
                    _, ext = os.path.splitext(entry.name)
                    if ext.lower() in image_extensions:
                        image_files.append(entry.path)
                elif entry.is_dir():
                    imgs = self.get_smb_images(entry.path)
                    image_files.extend(imgs)
        except Exception as e:
            print(f"错误: {e}")
        
        return image_files

    def build_full_path(self, share_path, file_path):
        """构建完整的 SMB 路径"""
        # 清理路径中的多余斜杠
        share_path = share_path.strip('\\')
        file_path = file_path.lstrip('\\')
        return f"\\\\{self.ip}\\{share_path}\\{file_path}"
    
    def read_txt_by_line(self, full_path):
        """逐行读取，适合大文件"""
        if not self.connect():
            return None
        
        print(f"读取 TXT 文件: {full_path}")
        
        try:
            with open_file(full_path, mode='rb') as file_obj:
                content_bytes = file_obj.read()
            
            # 使用 StringIO 逐行处理
            text_content = content_bytes.decode('utf-8', errors='ignore')
            string_io = io.StringIO(text_content)
            
            lines = []
            line_number = 0
            
            while True:
                line = string_io.readline()
                if not line:  # 读到文件末尾
                    break
                
                line_number += 1
                line = line.strip()
                # print(f"行 {line_number}: {line}")
                lines.append(line)
            
            print(f"总共读取 {line_number} 行")
            return lines
            
        except Exception as e:
            print(f"读取文件时出错: {e}")
            return None

    def read_img_file(self, full_path):
        """读取文件并返回 OpenCV 图像"""
        if not self.connect():
            return None
        
        print(f"读取文件: {full_path}")
        
        file_obj = None
        try:
            # 以二进制模式读取文件
            file_obj = open_file(full_path, mode='rb')
            content = b""
            
            # 分块读取文件内容
            while True:
                chunk = file_obj.read(8192)  # 8KB 块
                if not chunk:
                    break
                content += chunk
            
            print(f"成功读取 {len(content)} 字节")
            
            # 解码图像
            if len(content) == 0:
                print("文件为空")
                return None
                
            image_array = np.frombuffer(content, np.uint8)
            image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
            
            if image is None:
                print("图像解码失败 - 可能不是有效的图像文件")
                return None
                
            print(f"图像解码成功: {image.shape}")
            return image
            
        except Exception as e:
            print(f"读取文件失败: {e}")
            return None
        finally:
            if file_obj:
                file_obj.close()
    
    def writeFile(self, share_path, file_path, data, chunk_size=8192):
        """写入文件到 SMB 共享"""
        if not self.connect():
            return False
        
        full_path = self.build_full_path(share_path, file_path)
        file_obj = None
        
        try:
            # 确保目录存在
            dir_path = os.path.dirname(full_path)
            try:
                makedirs(dir_path, exist_ok=True)
            except:
                pass  # 目录可能已存在
            
            file_obj = open_file(full_path, mode='wb')
            
            if isinstance(data, bytes):
                total_size = len(data)
                written = 0
                
                for i in range(0, total_size, chunk_size):
                    chunk = data[i:i + chunk_size]
                    file_obj.write(chunk)
                    written += len(chunk)
                    print(f"写入进度: {written}/{total_size} 字节 ({written/total_size*100:.1f}%)")
                
            elif hasattr(data, '__iter__'):
                total_written = 0
                for chunk in data:
                    if isinstance(chunk, str):
                        chunk = chunk.encode('utf-8')
                    file_obj.write(chunk)
                    total_written += len(chunk)
                    print(f"已写入: {total_written} 字节")
            else:
                file_obj.write(bytes(data))
            
            print(f"文件写入完成: {full_path}")
            return True
            
        except Exception as e:
            print(f"写入文件失败: {e}")
            return False
        finally:
            if file_obj:
                file_obj.close()
    
    def writeImageToFile(self, share_path, file_path, image, image_format='.jpg', quality=95):
        """将 OpenCV 图像写入 SMB 文件"""
        if not self.connect():
            return False
        
        full_path = f"{file_path}{image_format}"
        file_obj = None
        
        try:
            if image_format.lower() == '.jpg':
                encode_params = [cv2.IMWRITE_JPEG_QUALITY, quality]
                success, encoded_image = cv2.imencode(image_format, image, encode_params)
            else:
                success, encoded_image = cv2.imencode(image_format, image)
            
            if not success:
                print("图像编码失败")
                return False
            
            image_data = encoded_image.tobytes()
            return self.writeFile(share_path, f"{file_path}{image_format}", image_data)
            
        except Exception as e:
            print(f"写入图像失败: {e}")
            return False

    def _ensure_remote_directory(self, share_name, remote_dir):
        """确保远程目录存在"""
        if not remote_dir:
            return
        
        try:
            # 构建完整远程路径
            full_remote_path = self.build_full_path(share_name, remote_dir)
            
            # 使用 makedirs 递归创建目录（如果不存在）
            makedirs(full_remote_path, exist_ok=True)
            print(f"确保远程目录存在: {remote_dir}")
                    
        except Exception as e:
            print(f"创建远程目录失败: {e}")
            raise

    def upload_directory(self, local_dir, share_name, remote_dir="", overwrite=True):
        """
        将本地目录推送到远程共享目录
        """
        if not self.connect():
            return False
        
        print(f"开始上传目录: {local_dir} -> {share_name}/{remote_dir}")
        
        if not os.path.exists(local_dir):
            print(f"本地目录不存在: {local_dir}")
            return False
        
        try:
            # 确保远程目录存在
            self._ensure_remote_directory(share_name, remote_dir)
            
            # 递归上传目录内容
            success = self._upload_directory_recursive(local_dir, share_name, remote_dir, overwrite)
            
            if success:
                print("目录上传完成")
            else:
                print("目录上传过程中出现错误")
                
            return success
            
        except Exception as e:
            print(f"上传目录失败: {e}")
            return False

    def _upload_directory_recursive(self, local_path, share_name, remote_path, overwrite):
        """递归上传目录内容"""
        try:
            success = True
            
            for item_name in os.listdir(local_path):
                local_item_path = os.path.join(local_path, item_name)
                remote_item_path = f"{remote_path}/{item_name}" if remote_path else item_name
                
                if os.path.isdir(local_item_path):
                    # 处理子目录
                    print(f"上传子目录: {item_name}")
                    
                    # 确保远程子目录存在
                    self._ensure_remote_directory(share_name, remote_item_path)
                    
                    # 递归上传子目录
                    sub_success = self._upload_directory_recursive(local_item_path, share_name, remote_item_path, overwrite)
                    if not sub_success:
                        success = False
                        
                else:
                    # 上传文件
                    file_success = self._upload_single_file(local_item_path, share_name, remote_item_path, overwrite)
                    if not file_success:
                        success = False
            
            return success
            
        except Exception as e:
            print(f"上传目录内容失败 {local_path}: {e}")
            return False

    def _upload_single_file(self, local_file_path, share_name, remote_file_path, overwrite):
        """上传单个文件"""
        file_obj = None
        try:
            # 构建远程完整路径
            full_remote_path = self.build_full_path(share_name, remote_file_path)
            
            # 检查文件是否已存在
            if not overwrite:
                try:
                    stat(full_remote_path)
                    print(f"文件已存在，跳过: {remote_file_path}")
                    return True
                except FileNotFoundError:
                    # 文件不存在，继续上传
                    pass
            
            # 上传文件
            print(f"上传文件: {os.path.basename(local_file_path)}")
            
            # 读取本地文件
            with open(local_file_path, 'rb') as local_file:
                local_content = local_file.read()
            
            # 写入远程文件
            with open_file(full_remote_path, mode='wb') as remote_file:
                remote_file.write(local_content)
            
            file_size = len(local_content)
            print(f"文件上传成功: {remote_file_path} ({file_size} 字节)")
            return True
            
        except Exception as e:
            print(f"上传文件失败 {local_file_path}: {e}")
            return False

    def upload_file(self, local_file_path, share_name, remote_file_path, overwrite=True):
        """
        上传单个文件到远程共享目录
        """
        if not self.connect():
            return False
        
        print(f"上传文件: {local_file_path} -> {share_name}/{remote_file_path}")
        
        file_obj = None
        try:
            # 构建远程完整路径
            full_remote_path = self.build_full_path(share_name, remote_file_path)
            
            # 检查文件是否已存在
            if not overwrite:
                try:
                    stat(full_remote_path)
                    print(f"文件已存在，跳过: {remote_file_path}")
                    return True
                except FileNotFoundError:
                    # 文件不存在，继续上传
                    pass
            
            # 以二进制模式读取本地文件
            with open(local_file_path, 'rb') as local_file:
                content = b""
                
                # 分块读取文件内容
                while True:
                    chunk = local_file.read(8192)  # 8KB 块
                    if not chunk:
                        break
                    content += chunk
            
            print(f"成功读取 {len(content)} 字节")
            
            if len(content) == 0:
                print("文件为空")
                return False
                
            # 写入远程文件
            with open_file(full_remote_path, mode='wb') as remote_file:
                remote_file.write(content)
                
            print(f"文件上传成功")
            return True
            
        except Exception as e:
            print(f"上传文件失败: {e}")
            return False

    def find_folders_by_name(self, share_path, folder_name, start_dir="", max_depth=10):
        """专门查找文件夹"""
        return self.find_items_by_name(
            share_path=share_path,
            target_name=folder_name,
            item_type="folder",
            start_dir=start_dir,
            max_depth=max_depth
        )

    def find_files_by_name(self, share_path, file_name, start_dir="", max_depth=10):
        """专门查找文件"""
        return self.find_items_by_name(
            share_path=share_path,
            target_name=file_name,
            item_type="file",
            start_dir=start_dir,
            max_depth=max_depth
        )
    
    def find_items_by_name(self, share_path, target_name, item_type="both", start_dir="", max_depth=10):
        """
        递归查找指定名称的文件夹和/或文件
        
        Args:
            share_path: 共享名称
            target_name: 目标名称（支持通配符 * 和 ?）
            item_type: 查找类型 - "folder", "file", "both"
            start_dir: 起始目录
            max_depth: 最大搜索深度
            
        Returns:
            list: 找到的完整路径列表
        """
        if not self.connect():
            return []
        
        found_paths = []
        start_path = self.build_full_path(share_path, start_dir)
        
        try:
            self._search_recursive(
                share_path=share_path,
                current_path=start_path,
                target_name=target_name,
                item_type=item_type,
                found_paths=found_paths,
                current_depth=0,
                max_depth=max_depth
            )
        except Exception as e:
            print(f"搜索过程中出错: {e}")
        
        return found_paths

    def _search_recursive(self, share_path, current_path, target_name, item_type, found_paths, current_depth, max_depth):
        """递归搜索文件夹和文件"""
        if current_depth > max_depth:
            return
        
        try:
            for entry in scandir(current_path):
                try:
                    # 检查文件夹
                    if entry.is_dir():
                        if self._is_match(entry.name, target_name) and item_type in ["both", "folder"]:
                            found_paths.append(entry.path)
                            print(f"找到目标文件夹: {entry.path}")
                        
                        # 递归搜索子目录
                        self._search_recursive(
                            share_path=share_path,
                            current_path=entry.path,
                            target_name=target_name,
                            item_type=item_type,
                            found_paths=found_paths,
                            current_depth=current_depth + 1,
                            max_depth=max_depth
                        )
                    
                    # 检查文件
                    elif entry.is_file():
                        if self._is_match(entry.name, target_name) and item_type in ["both", "file"]:
                            found_paths.append(entry.path)
                            print(f"找到目标文件: {entry.path}")
                            
                except Exception as e:
                    print(f"处理条目 {entry.path} 时出错: {e}")
                    
        except Exception as e:
            print(f"搜索目录 {current_path} 时出错: {e}")

    def _is_match(self, name, pattern):
        """
        检查名称是否匹配模式（支持简单通配符）
        
        Args:
            name: 实际名称
            pattern: 匹配模式（支持 * 和 ?）
            
        Returns:
            bool: 是否匹配
        """
        # 如果没有通配符，直接比较
        if '*' not in pattern and '?' not in pattern:
            return name.lower() == pattern.lower()
        
        # 通配符匹配
        import fnmatch
        return fnmatch.fnmatch(name.lower(), pattern.lower())

    def list_directory(self, share_path, dir, recursive=False, max_depth=3):
        """列出目录内容"""
        if not self.connect():
            return []
        
        try:
            full_path = f"\\\\{self.ip}\\{share_path}\\{dir}"
            print(f"开始遍历: {full_path}")
            result = []
            self._walk_directory(full_path, recursive, max_depth, 0, result)
            
        except Exception as e:
            print(f"遍历失败: {e}")

        return result
    
    def _walk_directory(self, path, recursive, max_depth, current_depth, result):
        """递归遍历目录"""
        if current_depth > max_depth:
            return
            
        try:
            for entry in scandir(path):
                try:
                    file_stat = stat(entry.path)
                    indent = "  " * current_depth
                    # 创建条目信息字典
                    item = {
                        'name': entry.name,
                        'path': entry.path,
                        'depth': current_depth,
                        'indent': indent,
                        'is_dir': entry.is_dir(),
                        'size': file_stat.st_size if not entry.is_dir() else 0,
                        'modified_time': datetime.fromtimestamp(file_stat.st_mtime).strftime('%Y-%m-%d %H:%M:%S')
                    }
                    
                    if entry.is_dir():
                        # print(f"{indent}文件夹：{entry.name}/")
                        result.append(item)
                        if recursive and current_depth < max_depth:
                            sub_items = self._walk_directory(
                                entry.path, 
                                recursive, 
                                max_depth, 
                                current_depth + 1
                            )
                            result.extend(sub_items)
                    else:
                        file_size = self._format_size(file_stat.st_size)
                        mod_time = datetime.fromtimestamp(
                            file_stat.st_mtime
                        ).strftime('%Y-%m-%d %H:%M:%S')
                        # print(f"{indent}文件：{entry.name} [{file_size}] [{mod_time}]")
                        item['formatted_size'] = file_size
                        result.append(item)

                except Exception as e:
                    print(f"{indent} 无法访问: {entry.name} - {e}")
                    
        except Exception as e:
            print(f"无法读取目录 {path}: {e}")
        
        return result
    
    def _format_size(self, size_bytes):
        """格式化文件大小"""
        if size_bytes == 0:
            return "0 B"
        
        size_names = ["B", "KB", "MB", "GB", "TB"]
        i = 0
        while size_bytes >= 1024 and i < len(size_names) - 1:
            size_bytes /= 1024.0
            i += 1
            
        return f"{size_bytes:.1f} {size_names[i]}"
    
    def get_file_info(self, share_path, file_path):
        """获取文件详细信息"""
        if not self.connect():
            return None
            
        try:
            full_path = f"\\\\{self.ip}\\{share_path}\\{file_path}"
            file_stat = stat(full_path)
            
            return {
                'name': os.path.basename(file_path),
                'path': full_path,
                'size': file_stat.st_size,
                'size_formatted': self._format_size(file_stat.st_size),
                'create_time': datetime.fromtimestamp(file_stat.st_ctime),
                'modify_time': datetime.fromtimestamp(file_stat.st_mtime),
                'access_time': datetime.fromtimestamp(file_stat.st_atime),
                'is_dir': False  # 需要额外判断
            }
        except Exception as e:
            print(f"获取文件信息失败: {e}")
            return None
    
    def display_image(self, image, window_name="Image"):
        """
        显示图像
        
        Args:
            image: OpenCV图像
            window_name: 窗口名称
        """
        # 创建窗口
        cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
        
        # 调整窗口大小适应屏幕
        screen_width = 1920  # 可根据实际屏幕调整
        screen_height = 1080
        
        img_height, img_width = image.shape[:2]
        
        # 计算缩放比例
        scale = min(screen_width / img_width, screen_height / img_height, 1.0)
        
        if scale < 1.0:
            new_width = int(img_width * scale)
            new_height = int(img_height * scale)
            image = cv2.resize(image, (new_width, new_height))
            print(f"图像已缩放: {img_width}x{img_height} -> {new_width}x{new_height}")
        
        # 显示图像
        cv2.imshow(window_name, image)
        print("图像显示中... 按任意键关闭窗口")
        
        # 等待按键
        cv2.waitKey(0)
        cv2.destroyAllWindows()
        print("窗口已关闭")

# 从传入的路径中提取ip，共享目录，目标访问目录
def get_conf(zip_url, user_name, pwd) :
    zip_url = zip_url.replace('\\\\', '/')
    zip_url = zip_url.replace('\\', '/')
    if zip_url.startswith("/"):
        zip_url = zip_url.replace('/', '', 1)

    parts = zip_url.split('/')
    if len(parts) < 2 :
        print(f"传入的共享目录格式错误: {zip_url}")
        return "", "fail"
    
    dir = ''
    if len(parts) > 2:
        new_parts = parts[2:]
        dir = '/'.join(new_parts)

    # 配置信息
    config = {
        'ip': parts[0],
        'username': user_name,
        'password': pwd,
        'domain': '',  # 工作组留空
        'share': parts[1],
        'dir': dir
    }

    return config


def get_scanner(zip_url, user_name, pwd) :
    config = get_conf(zip_url, user_name, pwd)
    
    # 创建扫描器
    scanner = SMBScanner(
        ip=config['ip'],
        username=config['username'],
        password=config['password'],
        domain=config['domain']
    )
    return scanner

# 路线编码 -> 路线信息
def get_road_dict(dir,user_name,pwd) :
    config = get_conf(dir, user_name, pwd)
    scanner = get_scanner(dir, user_name=user_name, pwd=pwd)
    found_paths = scanner.find_files_by_name(
            share_path=config['share'],
            file_name='每公里指标明细表*.xls',
            start_dir=config['dir'],
            max_depth=1
        )
    print(f"\n找到 {len(found_paths)} 个 'fileindex.txt' 文件:")
    for i, path in enumerate(found_paths, 1):
        print(f"{i}. {path}")

    road_dict = {}
    if len(found_paths) > 0 :
        df = scanner.read_excel(found_paths[0])
        rows = scanner.process_all_rows(df)
        for i, row in enumerate(rows, 1):
            data = row['data']
            if pd.notna(data['线路编码']) :
                up_or_down = 'A'
                if data['方向(上行/下行)'] == '下行' : 
                    up_or_down = 'B'
                key = f"{data['线路编码']}{str(int(data['区划代码']))}{up_or_down}"
                if road_dict.get(key) : 
                    road_dict[key].append(row)
                else : 
                    road_dict[key] = [row]  # 路线编码 -> 路线信息
    
    return road_dict

# filename -> 桩号
def get_pile_dict(dir,user_name,pwd) :
    config = get_conf(dir, user_name, pwd)
    scanner = get_scanner(dir, user_name=user_name, pwd=pwd)
    found_paths = scanner.find_files_by_name(
            share_path=config['share'],
            file_name='fileindex.txt',
            start_dir=config['dir'],
            max_depth=8
        )
    print(f"\n找到 {len(found_paths)} 个 'fileindex.txt' 文件:")
    for i, path in enumerate(found_paths, 1):
        print(f"{i}. {path}")

    pile_dict = {}
    if len(found_paths) > 0 :
        lines = scanner.read_txt_by_line(full_path=found_paths[0])
        for i, line in enumerate(lines, 1):
            parts = line.strip().split("->")
            if len(parts)>=4:
                pile_dict[parts[3]]=parts  # filename -> 桩号
    
    return pile_dict
        

def write_to_excel_pandas(data, filename, sheet_name='Sheet1'):
    """
    使用 pandas 将数据写入 Excel
    
    Args:
        data: 数据列表，每个元素是一行
        filename: 输出文件名
        sheet_name: 工作表名称
    """
    # 创建 DataFrame
    df = pd.DataFrame(data)
    
    # 写入 Excel
    df.to_excel(filename, sheet_name=sheet_name, index=False, header=False)
    print(f"数据已写入 {filename}")

def main():
    # 配置信息
    config = {
        'ip': '192.168.110.114',
        'username': 'administrator',
        'password': 'abc@1234',
        'domain': '',  # 工作组留空
        'share': 'share_File',
        'dir': '西南计算机'
    }
    
    # 创建扫描器
    scanner = SMBScanner(
        ip=config['ip'],
        username=config['username'],
        password=config['password'],
        domain=config['domain']
    )
    
    # 遍历共享目录
    # scanner.list_directory(
    #     share_path=config['share'],
    #     dir=config['dir'],
    #     recursive=True,      # 递归遍历
    #     max_depth=9         # 最大深度
    # )

    # 读取文件
    # full_path = scanner.build_full_path(
    #     share_path=config['share'],
    #     file_path= f"{config['dir']}/AA县/报送数据/图像类/CD45500155A/Images/20250508131651/01/20250508-131712-644.jpg"
    # )
    # image = scanner.read_img_file(full_path=full_path)

    # scanner.display_image(image)

    # # 写入文件
    # scanner.writeImageToFile(
    #     share_path=config['share'], 
    #     file_path= f"{config['dir']}/AA县/报送数据/图像类_识别/CD45500155A/Images/20250508131651/01/20250508-131712-644.jpg",
    #     image=image
    # )

    # # 查找指定文件夹 报送数据
    # found_paths = scanner.find_folders_by_name(
    #     share_path=config['share'],
    #     folder_name='报送数据'
    # )
    # print(f"\n找到 {len(found_paths)} 个 '报送数据' 文件夹:")
    # for i, path in enumerate(found_paths, 1):
    #     print(f"{i}. {path}")

    # # 查找指定文件
    # found_paths = scanner.find_files_by_name(
    #     share_path=config['share'],
    #     file_name='每公里指标明细表*.xls'
    # )
    # print(f"\n找到 {len(found_paths)} 个")
    # for i, path in enumerate(found_paths, 1):
    #     print(f"{i}. {path}")


    # # 查找指定目录中的所有图片
    # full_path = scanner.build_full_path(share_path=config['share'], file_path='西南计算机\\AA县\\报送数据')
    # imgPaths = scanner.get_smb_images(full_path)
    # for i, path in enumerate(imgPaths, 1):
    #     print(f"{i}. {path}")
    
    # # 读取excel
    # full_path = scanner.build_full_path(share_path=config['share'], file_path='西南计算机\\AA县\\每公里指标明细表（北碚）.xls')
    # df = scanner.read_excel(full_path)
    # rows = scanner.process_all_rows(df)
    # road_dict = {}
    # for i, row in enumerate(rows, 1):
    #     data = row['data']
    #     if pd.notna(data['线路编码']) :
    #         up_or_down = 'A'
    #         if data['方向(上行/下行)'] == '下行' : 
    #             up_or_down = 'B'
    #         key = f"{data['线路编码']}{str(int(data['区划代码']))}{up_or_down}"
    #         if road_dict.get(key) : 
    #             road_dict[key].append(row)
    #         else : 
    #             road_dict[key] = [row]  # 路线编码 -> 路线信息


    # 读取txt
    # found_paths = scanner.find_files_by_name(
    #     share_path=config['share'],
    #     file_name='fileindex.txt'
    # )
    # print(f"\n找到 {len(found_paths)} 个 'fileindex.txt' 文件:")
    # for i, path in enumerate(found_paths, 1):
    #     print(f"{i}. {path}")
    
    # 读取txt
    # lines = scanner.read_txt_by_line(full_path=found_paths[0])
    # for i, line in enumerate(lines, 1):
    #         print(f"{i}. {line}")

    # 上传目录
    # output_dir = "D:/devForBdzlWork/ai-train_platform/predictions"
    # scanner.upload_directory(output_dir, config['share'], remote_dir="西南计算机/AA县/报送数据_识别")

    # get_pile_dict
    # input_dir = "192.168.110.114/share_File/西南计算机/AA县/报送数据/图像类/CD45500155A/Images"
    # pile_dict = get_pile_dict(input_dir, config['username'], config['password'])
    # print("-------------------------------------------")

if __name__ == "__main__":
    main()