class ImageInfoFrame(wx.Frame):
    def __init__(self):
        super().__init__(None, title="圖片文件信息統(tǒng)計(jì)", size=(600, 400))
        
        # 創(chuàng)建界面組件
        panel = wx.Panel(self)
        main_sizer = wx.BoxSizer(wx.VERTICAL)
        
        # 標(biāo)題、按鈕、進(jìn)度條等組件布局

def find_image_files(self, folder_path):
    """遞歸查找所有圖片文件"""
    image_files = []
    image_extensions = {'.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff', '.tif', '.webp'}
    
    for root, dirs, files in os.walk(folder_path):
        for file in files:
            _, ext = os.path.splitext(file.lower())
            if ext in image_extensions:
                image_files.append(os.path.join(root, file))
    return image_files

def get_image_info(self, file_path):
    """提取單個(gè)圖片文件的完整信息"""
    try:
        # 文件系統(tǒng)信息
        stat = os.stat(file_path)
        filename = os.path.basename(file_path)
        date = datetime.datetime.fromtimestamp(stat.st_mtime).strftime('%Y-%m-%d %H:%M:%S')
        size = stat.st_size
        
        # 圖片特有信息
        with Image.open(file_path) as img:
            width, height = img.size
            resolution = f"{width}x{height}"
            
        return {
            'filename': filename,
            'path': str(file_path),
            'date': date,
            'size': size,
            'resolution': resolution
        }
    except Exception:
        return None

def export_to_excel(self, image_info_list, output_path):
    """高效的Excel數(shù)據(jù)導(dǎo)出"""
    workbook = Workbook()
    worksheet = workbook.active
    worksheet.title = '圖片信息'
    
    # 設(shè)置表頭樣式
    headers = ['文件名', '完整路徑', '修改日期', '文件大小(字節(jié))', '分辨率']
    for col, header in enumerate(headers, 1):
        cell = worksheet.cell(row=1, column=col, value=header)
        cell.font = Font(bold=True)
    
    # 批量寫入數(shù)據(jù)
    for row, info in enumerate(image_info_list, 2):
        worksheet.cell(row=row, column=1, value=info['filename'])
        # ... 其他字段
    
    # 自動(dòng)調(diào)整列寬
    worksheet.column_dimensions['A'].width = 25
    workbook.save(output_path)

def on_start_scan(self, event):
    # UI準(zhǔn)備工作
    self.scan_btn.Enable(False)
    wx.CallAfter(self.process_images, output_path)
 
def process_images(self, output_path):
    # 在后臺(tái)線程中處理大量文件
    for file_path in image_files:
        # 處理單個(gè)文件
        if processed % 10 == 0:
            wx.GetApp().Yield()  # 讓UI保持響應(yīng)

# 實(shí)時(shí)更新處理進(jìn)度
progress = int((processed / total_files) * 100)
self.progress.SetValue(progress)
self.status_text.SetLabel(f"已處理 {processed}/{total_files} 個(gè)文件...")

try:
    # 主要處理邏輯
    with Image.open(file_path) as img:
        width, height = img.size
except PIL.UnidentifiedImageError:
    # 處理無法識(shí)別的圖片格式
    resolution = "格式不支持"
except PermissionError:
    # 處理權(quán)限問題
    return None
except Exception as e:
    # 通用異常處理
    return None

try:
    # 文件處理邏輯
except Exception as e:
    error_msg = f"處理過程中出現(xiàn)錯(cuò)誤: {str(e)}"
    wx.MessageBox(error_msg, "錯(cuò)誤", wx.OK | wx.ICON_ERROR)

# 1. 安裝依賴庫
pip install wxpython pillow openpyxl
 
# 2. 下載源代碼
# 3. 運(yùn)行程序
python image_info_extractor.py