Feat: Complete UI redesign, backend optimization, and Docker deployment support

.gitignore

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+# 虚拟环境
+.venv/
+venv/
+env/
+ENV/
+
+# Python缓存文件
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+
+# 上传的文件
+uploads/
+*.xlsx
+*.xls
+
+# IDE文件
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# 操作系统文件
+.DS_Store
+Thumbs.db
+
+# 日志文件
+*.log
+
+# 临时文件
+*.tmp
+*.temp
+
+# 环境变量文件
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# 部署相关
+.vercel/
+dist/
+build/

Dockerfile

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+# 使用官方 Python 运行时作为父镜像
+FROM python:3.9-slim
+
+# 设置工作目录
+WORKDIR /app
+
+# 设置环境变量
+# 防止 Python 生成 .pyc 文件
+ENV PYTHONDONTWRITEBYTECODE=1
+# 确保 Python 输出不被缓冲
+ENV PYTHONUNBUFFERED=1
+
+# 安装系统依赖（如有需要）
+# RUN apt-get update && apt-get install -y --no-install-recommends gcc && rm -rf /var/lib/apt/lists/*
+
+# 复制依赖文件
+COPY requirements.txt .
+
+# 安装 Python 依赖
+# 使用阿里云镜像源加速
+RUN pip install --no-cache-dir -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
+
+# 复制当前目录内容到容器中的 /app
+COPY . .
+
+# 创建上传目录（确保权限）
+RUN mkdir -p uploads && chmod 777 uploads
+
+# 暴露端口 5000
+EXPOSE 5000
+
+# 运行 app.py
+# 生产环境建议使用 gunicorn (需添加到 requirements.txt)，但这里为了简单直接运行 python app.py
+CMD ["python", "app.py"]

README.md

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+# 📊 销售数据分析器
+
+一个现代化的Web应用程序，用于分析和可视化销售数据。支持Excel文件上传，自动解析销售数据，提供丰富的分析功能和美观的界面展示。
+
+## ✨ 功能特性
+
+### 🎯 核心功能
+- **Excel文件上传** - 支持.xlsx和.xls格式文件
+- **智能数据解析** - 自动识别销售数据结构
+- **多文件管理** - 支持多个Excel文件的切换查看
+- **数据筛选** - 按金额范围进行数据筛选
+- **搜索功能** - 支持商品名称搜索
+
+### 📊 数据展示
+- **销售总览** - 显示总销售额、销售天数、商品种类等统计信息
+- **每日详情** - 按日期分组展示销售数据
+- **双视图模式** - 支持卡片视图和表格视图切换
+- **表格排序** - 点击表头实现数据排序（升序/降序/原始顺序）
+
+### 🎨 用户界面
+- **现代化设计** - 采用渐变色彩和卡片式布局
+- **响应式设计** - 完美适配桌面和移动设备
+- **专业图标** - 使用Font Awesome图标系统
+- **加载优化** - 骨架屏和进度条提升用户体验
+
+### 🔧 技术特性
+- **高性能** - 基于Flask框架，快速响应
+- **安全性** - 文件上传安全验证和清理功能
+- **可扩展** - 模块化设计，易于扩展新功能
+
+## 🚀 快速开始
+
+### 系统要求
+
+- **Python** 3.8+
+- **操作系统** Windows/Linux/macOS
+- **浏览器** 现代浏览器（Chrome、Firefox、Safari、Edge）
+
+### 安装步骤
+
+#### 1. 克隆项目
+```bash
+git clone https://gitea.94kan.cn/houhuan/SaleShow.git
+cd SaleShow
+```
+
+#### 2. 创建虚拟环境（推荐）
+```bash
+# Windows
+python -m venv venv
+venv\Scripts\activate
+
+# Linux/macOS
+python -m venv venv
+source venv/bin/activate
+```
+
+#### 3. 安装依赖
+```bash
+pip install -r requirements.txt
+```
+
+#### 4. 运行应用
+```bash
+python app.py
+```
+
+#### 5. 访问应用
+打开浏览器，访问：http://localhost:5000
+
+## 📖 使用指南
+
+### 上传文件
+1. 点击"上传Excel文件"按钮
+2. 选择.xlsx或.xls格式的Excel文件
+3. 等待文件处理完成
+4. 查看分析结果
+
+### 查看数据
+- **左侧面板** - 显示已上传的文件列表，点击可切换查看不同文件
+- **顶部统计** - 显示销售总览信息
+- **每日数据** - 按日期分组展示详细销售记录
+
+### 数据操作
+- **视图切换** - 点击日期卡片右上角的图标可在卡片视图和表格视图间切换
+- **表格排序** - 在表格视图中点击列标题可进行排序
+- **数据筛选** - 使用底部的筛选按钮按金额范围筛选数据
+- **搜索功能** - 在搜索框中输入商品名称进行搜索
+
+### 文件管理
+- **清理文件** - 点击"清理文件"按钮可删除所有上传的Excel文件
+- **自动加载** - 页面刷新时自动加载最新上传的文件
+
+## 🏗️ 部署说明
+
+### 开发环境部署
+按照"快速开始"部分的步骤即可。
+
+### 生产环境部署
+
+#### 使用Gunicorn（推荐）
+```bash
+pip install gunicorn
+gunicorn -w 4 -b 0.0.0.0:8000 app:app
+```
+
+#### 使用Docker部署
+```dockerfile
+FROM python:3.9-slim
+
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+COPY . .
+EXPOSE 5000
+
+CMD ["python", "app.py"]
+```
+
+#### Nginx反向代理配置
+```nginx
+server {
+    listen 80;
+    server_name your-domain.com;
+
+    location / {
+        proxy_pass http://127.0.0.1:8000;
+        proxy_set_header Host $host;
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+        proxy_set_header X-Forwarded-Proto $scheme;
+    }
+}
+```
+
+### 环境变量配置
+```bash
+# 设置Flask环境
+export FLASK_ENV=production
+export FLASK_DEBUG=False
+
+# 设置上传文件大小限制（默认16MB）
+export MAX_CONTENT_LENGTH=16777216
+```
+
+## 📁 项目结构
+
+```
+SaleShow/
+├── app.py                 # Flask应用主文件
+├── requirements.txt       # Python依赖包列表
+├── templates/
+│   └── index.html        # 前端HTML模板
+├── uploads/              # 上传文件存储目录（自动创建）
+├── __pycache__/          # Python缓存文件
+└── README.md            # 项目说明文档
+```
+
+## 🛠️ 技术栈
+
+### 后端
+- **Flask** 2.3.3 - Web框架
+- **pandas** 2.3.3 - 数据处理
+- **openpyxl** 3.1.5 - Excel文件处理
+- **xlrd** 2.0.1 - 旧版Excel文件支持
+
+### 前端
+- **HTML5** - 页面结构
+- **CSS3** - 样式设计
+- **JavaScript (ES6+)** - 交互功能
+- **Font Awesome 6.4.0** - 图标库
+
+### 开发工具
+- **Git** - 版本控制
+- **pip** - 包管理
+
+## 🔒 安全说明
+
+- 文件上传仅支持.xlsx和.xls格式
+- 文件大小限制为16MB
+- 使用安全的文件名处理
+- 定期清理上传的文件以释放磁盘空间
+
+## 🤝 贡献指南
+
+1. Fork 本项目
+2. 创建特性分支 (`git checkout -b feature/AmazingFeature`)
+3. 提交更改 (`git commit -m 'Add some AmazingFeature'`)
+4. 推送到分支 (`git push origin feature/AmazingFeature`)
+5. 创建 Pull Request
+
+## 📄 许可证
+
+本项目采用 MIT 许可证 - 查看 [LICENSE](LICENSE) 文件了解详情。
+
+## 📞 联系方式
+
+如有问题或建议，请通过以下方式联系：
+- 项目地址：https://gitea.94kan.cn/houhuan/SaleShow
+- 提交 Issue：项目仓库的Issues页面
+
+---
+
+**最后更新时间：** 2026年1月3日
+
+*享受数据分析的乐趣！📊✨*

app.py

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+from flask import Flask, render_template, request, jsonify, send_from_directory
+import pandas as pd
+import os
+from werkzeug.utils import secure_filename
+import json
+from datetime import datetime
+import glob
+import time
+
+app = Flask(__name__)
+app.config['UPLOAD_FOLDER'] = 'uploads'
+app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024  # 16MB max file size
+
+# 确保上传文件夹存在
+if not os.path.exists(app.config['UPLOAD_FOLDER']):
+    os.makedirs(app.config['UPLOAD_FOLDER'])
+
+ALLOWED_EXTENSIONS = {'xlsx', 'xls'}
+
+def allowed_file(filename):
+    return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/files')
+def get_files():
+    """获取已上传的文件列表"""
+    try:
+        upload_folder = app.config['UPLOAD_FOLDER']
+        if not os.path.exists(upload_folder):
+            return jsonify({'files': []})
+
+        files = []
+        # 使用glob获取所有Excel文件
+        all_files = glob.glob(os.path.join(upload_folder, '*.xlsx')) + glob.glob(os.path.join(upload_folder, '*.xls'))
+        
+        for filepath in all_files:
+            if not os.path.isfile(filepath):
+                continue
+                
+            filename = os.path.basename(filepath)
+            # 解析时间戳和原始文件名
+            try:
+                # 尝试解析格式: YYYYMMDD_HHMMSS_original_filename
+                parts = filename.split('_', 2)
+                if len(parts) >= 3:
+                    timestamp_str = parts[0] + parts[1]
+                    upload_time = datetime.strptime(timestamp_str, '%Y%m%d%H%M%S')
+                    original_name = parts[2]
+                else:
+                    upload_time = datetime.fromtimestamp(os.path.getmtime(filepath))
+                    original_name = filename
+            except:
+                upload_time = datetime.fromtimestamp(os.path.getmtime(filepath))
+                original_name = filename
+
+            file_size = os.path.getsize(filepath)
+
+            files.append({
+                'filename': filename,
+                'original_name': original_name,
+                'upload_time': upload_time.strftime('%Y-%m-%d %H:%M:%S'),
+                'file_size': file_size,
+                'file_size_human': f"{file_size / 1024:.1f} KB" if file_size < 1024*1024 else f"{file_size / (1024*1024):.1f} MB"
+            })
+
+        files.sort(key=lambda x: x['upload_time'], reverse=True)
+        return jsonify({'files': files})
+    except Exception as e:
+        return jsonify({'error': f'获取文件列表失败: {str(e)}'}), 500
+
+@app.route('/load/<filename>')
+def load_file(filename):
+    """加载指定的文件"""
+    try:
+        upload_folder = app.config['UPLOAD_FOLDER']
+        filepath = os.path.join(upload_folder, filename)
+
+        if not os.path.exists(filepath):
+            return jsonify({'error': '文件不存在'}), 404
+
+        if not allowed_file(filename):
+            return jsonify({'error': '不支持的文件格式'}), 400
+
+        # 动态查找表头
+        header_row = find_header_row(filepath)
+        df = pd.read_excel(filepath, header=header_row)
+        sales_data = process_sales_data(df)
+
+        return jsonify({
+            'success': True,
+            'filename': filename,
+            'data': sales_data
+        })
+    except Exception as e:
+        return jsonify({'error': f'文件加载错误: {str(e)}'}), 500
+
+@app.route('/upload', methods=['POST'])
+def upload_file():
+    if 'file' not in request.files:
+        return jsonify({'error': '没有选择文件'}), 400
+    
+    file = request.files['file']
+    if file.filename == '':
+        return jsonify({'error': '没有选择文件'}), 400
+    
+    if file and allowed_file(file.filename):
+        filename = secure_filename(file.filename)
+        timestamp = datetime.now().strftime('%Y%m%d_%H%M%S_')
+        filename = timestamp + filename
+        filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
+        file.save(filepath)
+        
+        try:
+            # 动态查找表头
+            header_row = find_header_row(filepath)
+            df = pd.read_excel(filepath, header=header_row)
+            sales_data = process_sales_data(df)
+            
+            return jsonify({
+                'success': True,
+                'filename': filename,
+                'data': sales_data
+            })
+        except Exception as e:
+            return jsonify({'error': f'文件处理错误: {str(e)}'}), 500
+    
+    return jsonify({'error': '不支持的文件格式'}), 400
+
+@app.route('/cleanup', methods=['POST'])
+def cleanup_files():
+    """清理上传的文件（立即清理）"""
+    try:
+        upload_folder = app.config['UPLOAD_FOLDER']
+        if not os.path.exists(upload_folder):
+            return jsonify({'success': True, 'message': '无需清理'})
+        
+        files = os.listdir(upload_folder)
+        deleted_count = 0
+        errors = []
+        
+        for filename in files:
+            file_path = os.path.join(upload_folder, filename)
+            if os.path.isfile(file_path): # Remove extension check to clean everything
+                try:
+                    os.remove(file_path)
+                    deleted_count += 1
+                except PermissionError:
+                    errors.append(f"{filename} 正在被占用，无法删除")
+                except Exception as e:
+                    errors.append(f"{filename} 删除失败: {str(e)}")
+        
+        message = f'成功清理 {deleted_count} 个文件'
+        if errors:
+            message += f'。主要错误: {"; ".join(errors[:3])}'
+            if len(errors) > 3:
+                message += f" 等共{len(errors)}个错误"
+        
+        return jsonify({
+            'success': True,
+            'message': message,
+            'deleted_count': deleted_count
+        })
+        
+    except Exception as e:
+        return jsonify({'error': f'清理文件失败: {str(e)}'}), 500
+
+def find_header_row(filepath):
+    """查找表头所在的行索引"""
+    try:
+        # 只读取前20行，不带表头
+        df_temp = pd.read_excel(filepath, header=None, nrows=20)
+        
+        keywords = ['时间', '日期', '商品', '品名', '数量', '金额', '总价', 'Date', 'Product', 'Qty', 'Amount']
+        
+        for index, row in df_temp.iterrows():
+            # 将行转换为字符串列表
+            row_str = " ".join([str(val) for val in row.values])
+            # 统计包含的关键字数量
+            match_count = sum(1 for keyword in keywords if keyword in row_str)
+            
+            # 如果一行包含至少2个关键字，认为是表头
+            if match_count >= 2:
+                return index
+        return 0 # 默认第一行
+    except:
+        return 0
+
+def process_sales_data(df):
+    """处理销售数据，使用Pandas向量化操作"""
+    try:
+        # 1. 智能识别列名
+        cols = df.columns.tolist()
+        col_map = {}
+        
+        # 优先级关键字
+        keywords = {
+            'date': ['时间', '日期', 'Time', 'Date'],
+            'product': ['商品', '品名', '详情', 'Product', 'Name', 'Description'],
+            'quantity': ['数量', '件数', 'Quantity', 'Qty', 'Count'],
+            'amount': ['金额', '总价', 'Amount', 'Price', 'Total'],
+            'code': ['编码', '货号', '代码', 'Code', 'No']
+        }
+
+        for key, priority_words in keywords.items():
+            for word in priority_words:
+                found = False
+                for col in cols:
+                    if word in str(col):
+                        col_map[key] = col
+                        found = True
+                        break # Found highest priority match
+                if found: break
+        
+        # 兼容旧逻辑的后备方案：按索引
+        if 'date' not in col_map and len(cols) > 1: col_map['date'] = cols[1]
+        if 'product' not in col_map and len(cols) > 2: col_map['product'] = cols[2]
+        if 'quantity' not in col_map and len(cols) > 3: col_map['quantity'] = cols[3]
+        if 'amount' not in col_map and len(cols) > 4: col_map['amount'] = cols[4]
+        if 'code' not in col_map and len(cols) > 0: col_map['code'] = cols[0]
+
+        if not all(k in col_map for k in ['date', 'product', 'quantity', 'amount']):
+             # 尝试更宽迷糊的匹配
+             if len(cols) >= 5:
+                  col_map['code'] = cols[0]
+                  col_map['date'] = cols[1]
+                  col_map['product'] = cols[2]
+                  col_map['quantity'] = cols[3]
+                  col_map['amount'] = cols[4]
+             else:
+                  raise Exception("无法识别必要的列（时间、商品、数量、金额），请检查Excel格式或列名")
+
+        # 2. 重命名列以便处理
+        rename_dict = {
+            col_map['date']: 'date',
+            col_map['product']: 'product',
+            col_map['quantity']: 'quantity',
+            col_map['amount']: 'amount'
+        }
+        if 'code' in col_map:
+            rename_dict[col_map['code']] = 'code'
+            
+        df = df.rename(columns=rename_dict)
+        
+        # 确保code列存在
+        if 'code' not in df.columns:
+            df['code'] = ''
+            
+        # 3. 数据清洗和类型转换
+        for col in ['quantity', 'amount']:
+            df[col] = pd.to_numeric(df[col], errors='coerce').fillna(0)
+            
+        # 4. 日期处理
+        df['parsed_date'] = pd.to_datetime(df['date'], errors='coerce')
+        
+        # 5. 基于"ID块"的解析逻辑 (State Machine)
+        
+        processed_data = []
+        daily_summary = {}
+        
+        def get_day_entry(date_str):
+            if date_str not in daily_summary:
+                daily_summary[date_str] = {
+                    'date': date_str,
+                    'total_quantity': 0,
+                    'total_amount': 0,
+                    'products': [],
+                    'summary_info': None
+                }
+            return daily_summary[date_str]
+
+        # 状态变量
+        current_context = {
+            'date_str': None,
+            'code': None,
+            'header_quantity': 0, # Header行可能包含的总数（参考用）
+            'header_amount': 0
+        }
+
+        for index, row in df.iterrows():
+            # 检查当前行是否有ID (Code)
+            has_code = pd.notna(row['code']) and str(row['code']).strip() != ''
+            
+            # 检查当前行是否有商品名
+            has_product = pd.notna(row['product']) and str(row['product']).strip() != ''
+            
+            # --- 状态更新逻辑 ---
+            if has_code:
+                # 这是一个新的"块"的开始 (Header行)
+                if pd.notna(row['parsed_date']):
+                    current_context['date_str'] = row['parsed_date'].strftime('%Y-%m-%d %H:%M:%S')
+                else:
+                    # 如果有Code但没日期，可能沿用上一个？或者这还是同一个块？
+                    # 假设Code行必须有日期，如果没有，可能是数据问题，这里保留上一个日期比较安全
+                    pass 
+                
+                current_context['code'] = str(row['code'])
+                current_context['header_quantity'] = float(row['quantity'])
+                current_context['header_amount'] = float(row['amount'])
+                
+                # 如果这个Header行本身没有任何明细行为（Quantity/Amount都在Header上），
+                # 层级表里，Header只有总汇。扁平表里，Header也是明细。
+                # 通过 has_product 区分：
+                # 扁平表Row: Code(Yes) + Product(Yes)
+                # 层级表Header: Code(Yes) + Product(No)
+
+            # --- 记录处理逻辑 ---
+            
+            # 如果没有有效日期上下文，无法归档，跳过
+            if not current_context['date_str']:
+                continue
+                
+            date_str = current_context['date_str']
+            code = current_context['code']
+            
+            if has_product:
+                # -> 明细记录 (可能是扁平表的当前行，或者是层级表的子行)
+                product_name = str(row['product']).strip()
+                quantity = float(row['quantity'])
+                amount = float(row['amount'])
+                
+                # 计算单价
+                price = amount / quantity if quantity > 0 else 0
+                
+                # 更新统计
+                entry = get_day_entry(date_str)
+                entry['total_quantity'] += quantity
+                entry['total_amount'] += amount
+                
+                product_info = {
+                    'product': product_name,
+                    'quantity': quantity,
+                    'amount': amount,
+                    'price': price,
+                    'code': code
+                }
+                entry['products'].append(product_info)
+                
+                processed_data.append({
+                    'date': date_str,
+                    'product': product_name,
+                    'quantity': quantity,
+                    'amount': amount,
+                    'price': price,
+                    'is_summary': False,
+                    'code': code
+                })
+            
+            elif has_code and not has_product:
+                 # -> 纯Header行 (层级表结构)
+                 # 我们记录它的汇总信息作为参考，但不计入 daily_summary 的累加（除非完全没有明细）
+                 # 但为了显示在列表中（如果需要显示总汇行），我们可以加一个特殊条目
+                 
+                 # 只有当包含数值时才记录
+                 if row['quantity'] > 0 or row['amount'] > 0:
+                     entry = get_day_entry(date_str)
+                     entry['summary_info'] = {
+                        'total_quantity': float(row['quantity']),
+                        'total_amount': float(row['amount']),
+                        'code': code
+                     }
+                     
+                     processed_data.append({
+                        'date': date_str,
+                        'product': '【时间段总计】',
+                        'quantity': float(row['quantity']),
+                        'amount': float(row['amount']),
+                        'is_summary': True,
+                        'code': code
+                    })
+
+        # 后处理：如果某些天完全没有明细行，但有summary_info，则使用summary_info填充total
+        for date_str, entry in daily_summary.items():
+            if entry['total_quantity'] == 0 and entry['total_amount'] == 0 and entry['summary_info']:
+                 entry['total_quantity'] = entry['summary_info']['total_quantity']
+                 entry['total_amount'] = entry['summary_info']['total_amount']
+
+        return {
+            'columns': {
+                'code': col_map.get('code', ''),
+                'date': col_map['date'],
+                'product': col_map['product'],
+                'quantity': col_map['quantity'],
+                'amount': col_map['amount']
+            },
+            'raw_data': processed_data,
+            'daily_summary': list(daily_summary.values())
+        }
+        
+    except Exception as e:
+        import traceback
+        traceback.print_exc()
+        raise Exception(f"数据处理失败: {str(e)}")
+
+if __name__ == '__main__':
+    port = int(os.environ.get('PORT', 5000))
+    # 生产环境建议关闭 debug
+    debug_mode = os.environ.get('FLASK_DEBUG', 'True').lower() == 'true'
+    app.run(debug=debug_mode, host='0.0.0.0', port=port)

docker-compose.yml

@@ -0,0 +1,14 @@
+version: '3.8'
+
+services:
+  saleshow:
+    build: .
+    container_name: saleshow-app
+    ports:
+      - "${APP_PORT:-5000}:5000" # 映射主机端口:容器端口，支持通过 APP_PORT 环境变量修改主机端口
+    environment:
+      - PORT=5000
+      - FLASK_DEBUG=False
+    volumes:
+      - ./uploads:/app/uploads # 挂载上传目录，持久化数据
+    restart: unless-stopped

requirements.txt

@@ -0,0 +1,5 @@
+Flask>=2.0.0
+pandas>=2.0.0
+openpyxl>=3.0.0
+xlrd>=2.0.0
+Werkzeug>=2.0.0

static/css/style.css

@@ -0,0 +1,646 @@
+/* Modern Color Palette & Reset */
+:root {
+    --primary-color: #6366f1;
+    /* Indigo */
+    --secondary-color: #8b5cf6;
+    /* Violet */
+    --accent-color: #ec4899;
+    /* Pink */
+    --bg-color: #f8fafc;
+    --text-primary: #1e293b;
+    --text-secondary: #64748b;
+    --card-bg: rgba(255, 255, 255, 0.9);
+    --glass-border: 1px solid rgba(255, 255, 255, 0.4);
+    --shadow-sm: 0 1px 2px 0 rgb(0 0 0 / 0.05);
+    --shadow-md: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1);
+    --shadow-lg: 0 10px 15px -3px rgb(0 0 0 / 0.1), 0 4px 6px -4px rgb(0 0 0 / 0.1);
+    --radius-lg: 16px;
+    --radius-md: 12px;
+}
+
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+    -webkit-tap-highlight-color: transparent;
+}
+
+body {
+    font-family: 'Inter', system-ui, -apple-system, sans-serif;
+    background: var(--bg-color);
+    background-image:
+        radial-gradient(at 0% 0%, rgba(99, 102, 241, 0.15) 0px, transparent 50%),
+        radial-gradient(at 100% 100%, rgba(236, 72, 153, 0.15) 0px, transparent 50%);
+    background-attachment: fixed;
+    color: var(--text-primary);
+    line-height: 1.5;
+    min-height: 100vh;
+}
+
+/* Glassmorphism Utilities */
+.glass-card {
+    background: var(--card-bg);
+    backdrop-filter: blur(12px);
+    -webkit-backdrop-filter: blur(12px);
+    border: var(--glass-border);
+    border-radius: var(--radius-lg);
+    box-shadow: var(--shadow-sm);
+}
+
+/* Layout */
+.app-container {
+    max-width: 1200px;
+    margin: 0 auto;
+    padding: 20px;
+}
+
+/* Header */
+.main-header {
+    text-align: center;
+    padding: 40px 0 30px;
+}
+
+.logo {
+    display: inline-flex;
+    align-items: center;
+    gap: 12px;
+    color: var(--primary-color);
+    margin-bottom: 8px;
+}
+
+.logo i {
+    font-size: 28px;
+}
+
+.logo h1 {
+    font-size: 28px;
+    font-weight: 800;
+    letter-spacing: -0.5px;
+}
+
+.subtitle {
+    color: var(--text-secondary);
+    font-size: 14px;
+    font-weight: 500;
+}
+
+/* Upload Section */
+.upload-section {
+    padding: 24px;
+    margin-bottom: 24px;
+    transition: transform 0.3s ease;
+}
+
+.upload-section:hover {
+    transform: translateY(-2px);
+    box-shadow: var(--shadow-md);
+}
+
+.section-header h2 {
+    font-size: 18px;
+    font-weight: 600;
+    color: var(--text-primary);
+    display: flex;
+    align-items: center;
+    gap: 8px;
+    margin-bottom: 20px;
+}
+
+.section-header h2 i {
+    color: var(--accent-color);
+}
+
+.upload-controls {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 16px;
+    align-items: center;
+}
+
+.btn {
+    border: none;
+    cursor: pointer;
+    font-weight: 600;
+    font-size: 14px;
+    border-radius: 50px;
+    padding: 10px 20px;
+    transition: all 0.2s;
+    display: inline-flex;
+    align-items: center;
+    gap: 8px;
+}
+
+.btn-lg {
+    padding: 12px 28px;
+    font-size: 15px;
+}
+
+.btn-primary {
+    background: linear-gradient(135deg, var(--primary-color), var(--secondary-color));
+    color: white;
+    box-shadow: 0 4px 12px rgba(99, 102, 241, 0.3);
+}
+
+.btn-primary:active {
+    transform: scale(0.98);
+}
+
+.btn-text {
+    background: transparent;
+    color: var(--text-secondary);
+    padding: 8px 12px;
+}
+
+.btn-text:hover {
+    color: var(--accent-color);
+    background: rgba(236, 72, 153, 0.05);
+}
+
+.btn-outline {
+    border: 1px solid #e2e8f0;
+    background: white;
+    color: var(--text-secondary);
+}
+
+.btn-outline:hover {
+    border-color: var(--primary-color);
+    color: var(--primary-color);
+}
+
+/* File List Tags */
+.file-selector-wrapper {
+    display: flex;
+    align-items: center;
+    gap: 12px;
+    flex: 1;
+    overflow-x: auto;
+    padding-bottom: 4px;
+}
+
+.file-selector-wrapper .label {
+    font-size: 12px;
+    color: var(--text-secondary);
+    white-space: nowrap;
+}
+
+.file-tags {
+    display: flex;
+    gap: 8px;
+}
+
+.file-tag {
+    font-size: 12px;
+    padding: 4px 12px;
+    background: rgba(255, 255, 255, 0.6);
+    border: 1px solid #e2e8f0;
+    border-radius: 20px;
+    color: var(--text-secondary);
+    cursor: pointer;
+    white-space: nowrap;
+    transition: all 0.2s;
+}
+
+.file-tag.active {
+    background: rgba(99, 102, 241, 0.1);
+    color: var(--primary-color);
+    border-color: rgba(99, 102, 241, 0.3);
+    font-weight: 500;
+}
+
+/* Dashboard Grid */
+.summary-cards {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(160px, 1fr));
+    gap: 16px;
+    margin-bottom: 24px;
+}
+
+.stat-card {
+    background: white;
+    padding: 20px;
+    border-radius: var(--radius-md);
+    box-shadow: var(--shadow-sm);
+    display: flex;
+    align-items: center;
+    gap: 16px;
+    border: 1px solid #f1f5f9;
+}
+
+.icon-circle {
+    width: 48px;
+    height: 48px;
+    border-radius: 50%;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 20px;
+    flex-shrink: 0;
+}
+
+.total-sales .icon-circle {
+    background: rgba(99, 102, 241, 0.1);
+    color: var(--primary-color);
+}
+
+.total-count .icon-circle {
+    background: rgba(236, 72, 153, 0.1);
+    color: var(--accent-color);
+}
+
+.total-days .icon-circle {
+    background: rgba(16, 185, 129, 0.1);
+    color: #10b981;
+}
+
+.total-products .icon-circle {
+    background: rgba(245, 158, 11, 0.1);
+    color: #f59e0b;
+}
+
+.stat-content {
+    display: flex;
+    flex-direction: column;
+}
+
+.stat-label {
+    font-size: 12px;
+    color: var(--text-secondary);
+    margin-bottom: 2px;
+}
+
+.stat-value {
+    font-size: 18px;
+    font-weight: 700;
+    color: var(--text-primary);
+}
+
+/* Toolbar */
+.toolbar {
+    padding: 12px 16px;
+    display: flex;
+    flex-wrap: wrap;
+    gap: 16px;
+    align-items: center;
+    justify-content: space-between;
+    margin-bottom: 24px;
+}
+
+.search-wrapper {
+    position: relative;
+    flex: 1;
+    min-width: 200px;
+}
+
+.search-wrapper i {
+    position: absolute;
+    left: 12px;
+    top: 50%;
+    transform: translateY(-50%);
+    color: var(--text-secondary);
+    font-size: 14px;
+}
+
+.search-wrapper input {
+    width: 100%;
+    padding: 10px 10px 10px 36px;
+    border: 1px solid #e2e8f0;
+    border-radius: 20px;
+    background: white;
+    font-size: 14px;
+    transition: all 0.2s;
+}
+
+.search-wrapper input:focus {
+    outline: none;
+    border-color: var(--primary-color);
+    box-shadow: 0 0 0 2px rgba(99, 102, 241, 0.1);
+}
+
+.filter-group {
+    display: flex;
+    gap: 8px;
+    overflow-x: auto;
+    padding-bottom: 2px;
+}
+
+.filter-chip {
+    padding: 6px 16px;
+    border-radius: 20px;
+    font-size: 13px;
+    border: 1px solid transparent;
+    background: transparent;
+    color: var(--text-secondary);
+    cursor: pointer;
+    white-space: nowrap;
+}
+
+.filter-chip.active {
+    background: white;
+    color: var(--primary-color);
+    box-shadow: var(--shadow-sm);
+    font-weight: 600;
+}
+
+/* Daily List */
+.day-card {
+    margin-bottom: 16px;
+    border: 1px solid rgba(255, 255, 255, 0.5);
+    overflow: hidden;
+}
+
+.day-header {
+    padding: 16px 20px;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    cursor: pointer;
+    background: rgba(255, 255, 255, 0.4);
+}
+
+.day-info {
+    display: flex;
+    flex-direction: row;
+    /* Changed from column */
+    align-items: center;
+    /* Align vertically */
+    gap: 12px;
+}
+
+.day-info .date {
+    font-weight: 600;
+    color: var(--text-primary);
+    font-size: 15px;
+}
+
+.day-info .summary {
+    font-size: 12px;
+    color: var(--text-secondary);
+}
+
+.toggle-icon {
+    transition: transform 0.3s;
+    color: var(--text-secondary);
+    font-size: 12px;
+}
+
+.day-card.expanded .toggle-icon {
+    transform: rotate(180deg);
+}
+
+.day-details {
+    max-height: 0;
+    overflow: hidden;
+    transition: max-height 0.3s ease-out;
+    background: rgba(255, 255, 255, 0.3);
+}
+
+.day-card.expanded .day-details {
+    max-height: 2000px;
+}
+
+.product-item {
+    padding: 12px 20px;
+    border-top: 1px solid rgba(226, 232, 240, 0.6);
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    font-size: 13px;
+}
+
+.p-name {
+    font-weight: 500;
+    color: var(--text-primary);
+    flex: 1;
+    padding-right: 12px;
+}
+
+.p-meta {
+    display: flex;
+    align-items: center;
+    gap: 12px;
+    color: var(--text-secondary);
+}
+
+.p-price {
+    font-size: 12px;
+    color: #94a3b8;
+}
+
+.p-total {
+    font-weight: 600;
+    color: var(--primary-color);
+    min-width: 60px;
+    text-align: right;
+}
+
+/* Empty State */
+.empty-state {
+    text-align: center;
+    padding: 60px 20px;
+    color: var(--text-secondary);
+}
+
+.illustration {
+    font-size: 64px;
+    color: #cbd5e1;
+    margin-bottom: 16px;
+}
+
+.empty-state h3 {
+    color: var(--text-primary);
+    margin-bottom: 8px;
+}
+
+/* Modals & Overlays */
+.modal-overlay {
+    position: fixed;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background: rgba(0, 0, 0, 0.3);
+    backdrop-filter: blur(4px);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    opacity: 0;
+    pointer-events: none;
+    transition: opacity 0.3s;
+    z-index: 1000;
+}
+
+.modal-overlay.active {
+    opacity: 1;
+    pointer-events: auto;
+}
+
+.modal-card {
+    background: white;
+    width: 90%;
+    max-width: 400px;
+    border-radius: 24px;
+    padding: 24px;
+    transform: scale(0.9);
+    transition: transform 0.3s cubic-bezier(0.34, 1.56, 0.64, 1);
+}
+
+.modal-overlay.active .modal-card {
+    transform: scale(1);
+}
+
+.modal-header {
+    display: flex;
+    justify-content: space-between;
+    margin-bottom: 20px;
+}
+
+.modal-header h3 {
+    font-size: 18px;
+}
+
+.btn-close {
+    background: none;
+    border: none;
+    font-size: 18px;
+    cursor: pointer;
+    color: var(--text-secondary);
+}
+
+.drop-zone {
+    border: 2px dashed #e2e8f0;
+    border-radius: 16px;
+    padding: 40px 20px;
+    text-align: center;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.drop-zone:hover,
+.drop-zone.active {
+    border-color: var(--primary-color);
+    background: rgba(99, 102, 241, 0.05);
+}
+
+.drop-zone .icon-wrapper {
+    font-size: 32px;
+    color: var(--primary-color);
+    margin-bottom: 12px;
+}
+
+.support-text {
+    display: block;
+    font-size: 12px;
+    color: #94a3b8;
+    margin-top: 8px;
+}
+
+/* Loading */
+.loading-overlay {
+    position: fixed;
+    inset: 0;
+    background: rgba(255, 255, 255, 0.9);
+    z-index: 2000;
+    display: none;
+    align-items: center;
+    justify-content: center;
+    flex-direction: column;
+}
+
+.loader-dots div {
+    width: 10px;
+    height: 10px;
+    background: var(--primary-color);
+    border-radius: 50%;
+    display: inline-block;
+    animation: bounce 1.4s infinite ease-in-out both;
+    margin: 0 3px;
+}
+
+.loader-dots div:nth-child(1) {
+    animation-delay: -0.32s;
+}
+
+.loader-dots div:nth-child(2) {
+    animation-delay: -0.16s;
+}
+
+@keyframes bounce {
+
+    0%,
+    80%,
+    100% {
+        transform: scale(0);
+    }
+
+    40% {
+        transform: scale(1);
+    }
+}
+
+/* Mobile Response */
+@media (max-width: 640px) {
+    .app-container {
+        padding: 12px;
+    }
+
+    .main-header {
+        padding: 24px 0 20px;
+    }
+
+    .logo h1 {
+        font-size: 24px;
+    }
+
+    .upload-controls {
+        flex-direction: column;
+        align-items: stretch;
+    }
+
+    .btn-block {
+        width: 100%;
+        justify-content: center;
+    }
+
+    .summary-cards {
+        grid-template-columns: 1fr 1fr;
+        gap: 12px;
+    }
+
+    .stat-card {
+        padding: 16px;
+        flex-direction: column;
+        text-align: center;
+        gap: 8px;
+    }
+
+    .stat-value {
+        font-size: 16px;
+    }
+
+    .icon-circle {
+        width: 36px;
+        height: 36px;
+        font-size: 16px;
+        margin-bottom: 4px;
+    }
+
+    .toolbar {
+        flex-direction: column;
+        align-items: stretch;
+        gap: 16px;
+    }
+
+    .search-wrapper {
+        width: 100%;
+    }
+
+    .filter-group {
+        justify-content: space-between;
+    }
+
+    .p-meta {
+        flex-direction: row;
+        align-items: center;
+        gap: 8px;
+    }
+}

static/js/main.js

@@ -0,0 +1,340 @@
+// DOM Elements
+const elements = {
+    uploadArea: document.getElementById('uploadArea'),
+    fileInput: document.getElementById('fileInput'),
+    loadingOverlay: document.getElementById('loadingOverlay'),
+    loadingText: document.getElementById('loadingText'),
+    noData: document.getElementById('noData'),
+    dataDisplay: document.getElementById('dataDisplay'),
+    uploadModal: document.getElementById('uploadModal'),
+    fileList: document.getElementById('fileList'),
+    fileSelector: document.getElementById('fileSelector'),
+    dailyData: document.getElementById('dailyData'),
+    searchInput: document.getElementById('searchInput'),
+    // Stats
+    totalAmount: document.getElementById('totalAmount'),
+    totalQuantity: document.getElementById('totalQuantity'),
+    totalDays: document.getElementById('totalDays'),
+    totalProducts: document.getElementById('totalProducts')
+};
+
+// State
+let state = {
+    allData: null,
+    filteredData: null,
+    currentFilter: 'all',
+    searchTerm: '',
+    currentFile: null,
+    fileList: [],
+    currentPage: 1,
+    itemsPerPage: 50
+};
+
+// --- Event Listeners ---
+
+document.addEventListener('DOMContentLoaded', () => {
+    loadFileList();
+    if (elements.searchInput) {
+        elements.searchInput.addEventListener('input', (e) => {
+            state.searchTerm = e.target.value.toLowerCase();
+            applyFilters();
+        });
+    }
+});
+
+if (elements.fileInput) {
+    elements.fileInput.addEventListener('change', (e) => handleFile(e.target.files[0]));
+}
+
+if (elements.uploadArea) {
+    elements.uploadArea.addEventListener('dragover', (e) => {
+        e.preventDefault();
+        elements.uploadArea.classList.add('active');
+    });
+    elements.uploadArea.addEventListener('dragleave', () => {
+        elements.uploadArea.classList.remove('active');
+    });
+    elements.uploadArea.addEventListener('drop', (e) => {
+        e.preventDefault();
+        elements.uploadArea.classList.remove('active');
+        if (e.dataTransfer.files.length > 0) {
+            handleFile(e.dataTransfer.files[0]);
+        }
+    });
+    elements.uploadArea.addEventListener('click', () => {
+        elements.fileInput.click();
+    });
+}
+
+// --- Core Functions ---
+
+function handleFile(file) {
+    if (!file) return;
+    if (!file.name.match(/\.(xlsx|xls)$/i)) {
+        alert('请选择 Excel 文件 (.xlsx 或 .xls)');
+        return;
+    }
+    closeUploadModal();
+    uploadFile(file);
+}
+
+function uploadFile(file) {
+    const formData = new FormData();
+    formData.append('file', file);
+    showLoading(true, '正在上传并分析...');
+
+    fetch('/upload', { method: 'POST', body: formData })
+        .then(res => res.json())
+        .then(data => {
+            setTimeout(() => {
+                showLoading(false);
+                if (data.success) {
+                    state.currentFile = data.filename;
+                    displayData(data.data);
+                    loadFileList();
+                } else {
+                    alert(data.error || '上传失败');
+                }
+            }, 500);
+        })
+        .catch(err => {
+            showLoading(false);
+            alert('上传错误: ' + err.message);
+        });
+}
+
+function loadFileList() {
+    fetch('/files')
+        .then(res => res.json())
+        .then(data => {
+            if (data.files && data.files.length > 0) {
+                state.fileList = data.files;
+                renderFileList(data.files);
+                if (!state.currentFile) {
+                    loadFile(data.files[0].filename);
+                }
+            } else {
+                elements.fileSelector.style.display = 'none';
+            }
+        });
+}
+
+function loadFile(filename) {
+    showLoading(true, '加载数据中...');
+    fetch(`/load/${filename}`)
+        .then(res => res.json())
+        .then(data => {
+            setTimeout(() => {
+                showLoading(false);
+                if (data.success) {
+                    state.currentFile = filename;
+                    displayData(data.data);
+                    renderFileList(state.fileList); // Update active state
+                } else {
+                    elements.noData.style.display = 'flex';
+                    elements.dataDisplay.style.display = 'none';
+                }
+            }, 300);
+        })
+        .catch(() => {
+            showLoading(false);
+            elements.noData.style.display = 'flex';
+        });
+}
+
+function displayData(data) {
+    state.allData = data;
+    elements.noData.style.display = 'none';
+    elements.dataDisplay.style.display = 'block';
+
+    applyFilters();
+}
+
+function renderStats(data) {
+    let totalQty = 0;
+    let totalAmt = 0;
+    const days = data.daily_summary.length;
+    const uniqueProducts = new Set(); // Simplified unique product count logic based on daily summary data structure might differ, here we approximate or iterate raw if needed.
+    // Correction: Use raw_data for unique products count if available, or iterate all dailies.
+
+    data.daily_summary.forEach(day => {
+        if (day.summary_info) {
+            totalQty += day.summary_info.total_quantity;
+            totalAmt += day.summary_info.total_amount;
+        } else {
+            totalQty += day.total_quantity;
+            totalAmt += day.total_amount;
+        }
+        day.products.forEach(p => uniqueProducts.add(p.product));
+    });
+
+    // Count Animation
+    animateValue(elements.totalAmount, totalAmt, '¥');
+    animateValue(elements.totalQuantity, totalQty, '');
+    animateValue(elements.totalDays, days, '');
+    animateValue(elements.totalProducts, uniqueProducts.size, '');
+}
+
+function animateValue(obj, end, prefix = '') {
+    if (!obj) return;
+    let startTimestamp = null;
+    const duration = 1000;
+    const start = 0;
+
+    const step = (timestamp) => {
+        if (!startTimestamp) startTimestamp = timestamp;
+        const progress = Math.min((timestamp - startTimestamp) / duration, 1);
+        const value = Math.floor(progress * (end - start) + start);
+
+        if (prefix === '¥') {
+            obj.innerHTML = prefix + (progress * end).toFixed(2);
+        } else {
+            obj.innerHTML = prefix + value;
+        }
+
+        if (progress < 1) {
+            window.requestAnimationFrame(step);
+        } else {
+            if (prefix === '¥') {
+                obj.innerHTML = prefix + end.toFixed(2);
+            } else {
+                obj.innerHTML = prefix + end;
+            }
+        }
+    };
+    window.requestAnimationFrame(step);
+}
+
+function renderDailyList(data) {
+    elements.dailyData.innerHTML = data.daily_summary.map(day => {
+        const totalAmt = day.summary_info ? day.summary_info.total_amount : day.total_amount;
+        const totalQty = day.summary_info ? day.summary_info.total_quantity : day.total_quantity;
+
+        return `
+                <div class="day-card glass-card expanded">
+                    <div class="day-header" onclick="toggleDayDetails(this)">
+                        <div class="day-info">
+                            <span class="date">${day.date}</span>
+                            <span class="summary">¥${totalAmt.toFixed(2)} / ${totalQty}件</span>
+                        </div>
+                        <i class="fas fa-chevron-down toggle-icon"></i>
+                    </div>
+                    <div class="day-details">
+                        <div class="product-list">
+                            ${day.products.map(p => `
+                                <div class="product-item">
+                                    <div class="p-name">${p.product}</div>
+                                    <div class="p-meta">
+                                        <span class="p-price">¥${p.price.toFixed(2)}</span>
+                                        <span class="p-qty">x${p.quantity}</span>
+                                        <span class="p-total">¥${p.amount.toFixed(2)}</span>
+                                    </div>
+                                </div>
+                            `).join('')}
+                        </div>
+                    </div>
+                </div>
+                `;
+    }).join('');
+}
+
+function toggleDayDetails(header) {
+    const card = header.parentElement;
+    card.classList.toggle('expanded');
+}
+
+function applyFilters() {
+    if (!state.allData) return;
+
+    let filtered = JSON.parse(JSON.stringify(state.allData));
+
+    // Search Filter
+    if (state.searchTerm) {
+        filtered.daily_summary = filtered.daily_summary.map(day => {
+            const matchedProducts = day.products.filter(p => p.product.toLowerCase().includes(state.searchTerm));
+            if (matchedProducts.length > 0) {
+                const tQty = matchedProducts.reduce((a, b) => a + b.quantity, 0);
+                const tAmt = matchedProducts.reduce((a, b) => a + b.amount, 0);
+                return { ...day, products: matchedProducts, total_quantity: tQty, total_amount: tAmt, summary_info: null };
+            }
+            return null;
+        }).filter(d => d);
+    }
+
+    // Amount Filter
+    if (state.currentFilter !== 'all') {
+        filtered.daily_summary = filtered.daily_summary.filter(day => {
+            const amt = day.summary_info ? day.summary_info.total_amount : day.total_amount;
+            if (state.currentFilter === 'high') return amt >= 1000;
+            if (state.currentFilter === 'medium') return amt >= 100 && amt < 1000;
+            if (state.currentFilter === 'low') return amt < 100;
+            return true;
+        });
+    }
+
+    state.filteredData = filtered;
+    renderStats(filtered);
+    renderDailyList(filtered);
+}
+
+function filterByAmount(type) {
+    state.currentFilter = type;
+    document.querySelectorAll('.filter-chip').forEach(btn => btn.classList.remove('active'));
+    event.target.classList.add('active');
+    applyFilters();
+}
+
+function renderFileList(files) {
+    elements.fileSelector.style.display = 'flex';
+    elements.fileList.innerHTML = files.map(f => `
+                <div class="file-tag ${f.filename === state.currentFile ? 'active' : ''}" onclick="loadFile('${f.filename}')">
+                    ${f.original_name}
+                </div>
+            `).join('');
+}
+
+// --- Utils ---
+
+function openUploadModal() {
+    elements.uploadModal.classList.add('active');
+}
+
+function closeUploadModal() {
+    elements.uploadModal.classList.remove('active');
+}
+
+function showLoading(show, text) {
+    elements.loadingOverlay.style.display = show ? 'flex' : 'none';
+    if (text) elements.loadingText.textContent = text;
+}
+
+function cleanupFiles() {
+    if (!confirm('确认清理旧文件？')) return;
+    fetch('/cleanup', { method: 'POST' })
+        .then(res => res.json())
+        .then(data => {
+            alert(data.message);
+            loadFileList();
+            if (data.deleted_count > 0 && state.currentFile) {
+                // Check if current file still exists? Simple approach: reload list
+                // Logic omitted for brevity, user can re-upload
+            }
+        });
+}
+
+function exportData() {
+    if (!state.allData) return;
+    const data = state.filteredData || state.allData;
+    let csv = "Date,Product,Quantity,Price,Amount\n";
+    data.daily_summary.forEach(day => {
+        day.products.forEach(p => {
+            csv += `${day.date},${p.product},${p.quantity},${p.price},${p.amount}\n`;
+        });
+    });
+    const blob = new Blob([csv], { type: 'text/csv;charset=utf-8' });
+    const url = URL.createObjectURL(blob);
+    const a = document.createElement('a');
+    a.href = url;
+    a.download = 'sales_data.csv';
+    a.click();
+}

templates/index.html

@@ -0,0 +1,163 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
+    <title>销售数据分析器</title>
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
+    <link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
+    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
+</head>
+
+<body>
+    <div class="app-container">
+        <header class="main-header">
+            <div class="logo">
+                <i class="fas fa-chart-pie"></i>
+                <h1>SaleShow</h1>
+            </div>
+            <p class="subtitle">智能销售分析助手</p>
+        </header>
+
+        <main class="content-area">
+            <!-- 上传区域 -->
+            <section class="upload-section glass-card">
+                <div class="section-header">
+                    <h2><i class="fas fa-magic"></i> 开始分析</h2>
+                </div>
+
+                <div class="upload-controls">
+                    <button class="btn btn-primary btn-lg btn-block" onclick="openUploadModal()">
+                        <i class="fas fa-plus-circle"></i> 上传新文件
+                    </button>
+
+                    <div class="file-selector-wrapper" id="fileSelector" style="display: none;">
+                        <span class="label">当前分析:</span>
+                        <div class="file-tags" id="fileList">
+                            <!-- 文件标签 -->
+                        </div>
+                    </div>
+
+                    <button class="btn btn-text btn-sm" onclick="cleanupFiles()" title="清理旧文件">
+                        <i class="fas fa-trash-alt"></i> 清理
+                    </button>
+                </div>
+            </section>
+
+            <!-- 状态提示 -->
+            <div id="noData" class="empty-state">
+                <div class="illustration">
+                    <i class="fas fa-chart-area"></i>
+                </div>
+                <h3>暂无数据</h3>
+                <p>上传 Excel 文件即可生成精美报表</p>
+            </div>
+
+            <!-- 数据展示 -->
+            <div id="dataDisplay" class="data-dashboard" style="display: none;">
+                <!-- 概览卡片 -->
+                <section class="summary-cards">
+                    <div class="card stat-card total-sales">
+                        <div class="icon-circle"><i class="fas fa-yen-sign"></i></div>
+                        <div class="stat-content">
+                            <span class="stat-label">总销售额</span>
+                            <span class="stat-value" id="totalAmount">0.00</span>
+                        </div>
+                    </div>
+                    <div class="card stat-card total-count">
+                        <div class="icon-circle"><i class="fas fa-shopping-bag"></i></div>
+                        <div class="stat-content">
+                            <span class="stat-label">销售件数</span>
+                            <span class="stat-value" id="totalQuantity">0</span>
+                        </div>
+                    </div>
+                    <div class="card stat-card total-days">
+                        <div class="icon-circle"><i class="fas fa-calendar-alt"></i></div>
+                        <div class="stat-content">
+                            <span class="stat-label">统计天数</span>
+                            <span class="stat-value" id="totalDays">0</span>
+                        </div>
+                    </div>
+                    <div class="card stat-card total-products">
+                        <div class="icon-circle"><i class="fas fa-box-open"></i></div>
+                        <div class="stat-content">
+                            <span class="stat-label">商品种类</span>
+                            <span class="stat-value" id="totalProducts">0</span>
+                        </div>
+                    </div>
+                </section>
+
+                <!-- 工具栏 -->
+                <div class="toolbar glass-card">
+                    <div class="search-wrapper">
+                        <i class="fas fa-search"></i>
+                        <input type="text" id="searchInput" placeholder="搜索商品...">
+                    </div>
+                    <div class="filter-group">
+                        <button class="filter-chip active" onclick="filterByAmount('all')">全部</button>
+                        <button class="filter-chip" onclick="filterByAmount('high')">高额</button>
+                        <button class="filter-chip" onclick="filterByAmount('medium')">中等</button>
+                        <button class="filter-chip" onclick="filterByAmount('low')">低额</button>
+                    </div>
+                    <button class="btn btn-outline btn-sm action-btn" onclick="exportData()">
+                        <i class="fas fa-download"></i> 导出
+                    </button>
+                </div>
+
+                <!-- 每日详情 -->
+                <section class="daily-list" id="dailyData">
+                    <!-- 动态生成 -->
+                </section>
+            </div>
+        </main>
+    </div>
+
+    <!-- 上传弹窗 -->
+    <div id="uploadModal" class="modal-overlay">
+        <div class="modal-card bounce-in">
+            <div class="modal-header">
+                <h3>上传文件</h3>
+                <button class="btn-close" onclick="closeUploadModal()"><i class="fas fa-times"></i></button>
+            </div>
+            <div class="modal-body">
+                <div class="drop-zone" id="uploadArea">
+                    <div class="icon-wrapper"><i class="fas fa-cloud-upload-alt"></i></div>
+                    <p>点击或拖拽文件至此</p>
+                    <span class="support-text">支持 .xlsx / .xls</span>
+                    <input type="file" id="fileInput" hidden accept=".xlsx,.xls">
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <!-- 加载层 -->
+    <div id="loadingOverlay" class="loading-overlay">
+        <div class="loading-box">
+            <div class="loader-dots">
+                <div></div>
+                <div></div>
+                <div></div>
+            </div>
+            <p id="loadingText">处理中...</p>
+        </div>
+    </div>
+
+    <script src="{{ url_for('static', filename='js/main.js') }}"></script>
+    <script>
+        // 覆盖部分 JS 逻辑以适应新的 DOM 结构
+        // 特别是 ID 变更后的 element 获取
+        // 为了方便，我们在 main.js 中尽量保持 ID 不变，或者在这里做少量适配
+
+        // 更新统计数据显示的逻辑需要适配新的 DOM 结构
+        const originalDisplayData = window.displayData;
+
+        // 我们需要重新定义 displayData 因为 DOM 结构变了
+        // 或者我们直接修改 main.js?
+        // 更好的做法是修改 main.js 适配新的 ID。
+        // 这里我尽量保持了 main.js 中使用的 ID (uploadArea, fileInput, loading... etc)
+        // 但是 summaryStats 的结构变了，需要更新 main.js。
+    </script>
+</body>
+
+</html>