chore: 更新版本号到 v1.7.0

- 类别数据结构新增 subcategories 字段
- 每个子类别可定义 key_features 和 feature_labels
- 前端模型页面添加子类别选择器
- 表格根据子类别动态显示关键特性列
- 后台管理支持编辑子类别配置（JSON格式）
- 预设了各类别的子类别配置（对话、代码、推理、视觉等）

app.py

@@ -1,7 +1,7 @@
 """
 ParamHub - 参数百科
 AI大模型与硬件参数速查平台
-v1.5.0 - 支持多图上传和智能解析产品参数
+v1.7.0 - 支持子类别配置和关键特性显示
 """
 
 from flask import Flask, render_template, jsonify, request
@@ -49,7 +49,7 @@ LLM_CONFIG = {
     'vision_model': 'gpt-4-vision-preview',  # 视觉模型（解析图片）
 }
 
-# 默认网站配置
+# 默认网站配置（包含LLM配置）
 DEFAULT_CONFIG = {
     'site_name': 'ParamHub',
     'site_subtitle': '参数百科',
@@ -58,12 +58,31 @@ DEFAULT_CONFIG = {
     'copyright_year': '2024',
     'contact_email': '',
     'github_url': '',
+    # LLM配置
+    'llm_base_url': 'http://192.168.2.17:19007/v1',
+    'llm_api_key': '',
+    'llm_model': 'auto',
+    'llm_vision_model': 'gpt-4-vision-preview',
 }
 
+def get_llm_config():
+    """获取LLM配置（从config.json动态读取）"""
+    config = load_config()
+    return {
+        'base_url': config.get('llm_base_url', DEFAULT_CONFIG['llm_base_url']),
+        'api_key': config.get('llm_api_key', DEFAULT_CONFIG['llm_api_key']),
+        'model': config.get('llm_model', DEFAULT_CONFIG['llm_model']),
+        'vision_model': config.get('llm_vision_model', DEFAULT_CONFIG['llm_vision_model']),
+    }
+
 def load_config():
     """加载网站配置"""
     if CONFIG_FILE.exists():
-        return json.loads(CONFIG_FILE.read_text(encoding='utf-8'))
+        loaded = json.loads(CONFIG_FILE.read_text(encoding='utf-8'))
+        # 合并默认配置（确保新字段存在）
+        result = DEFAULT_CONFIG.copy()
+        result.update(loaded)
+        return result
     return DEFAULT_CONFIG.copy()
 
 def save_config(config):
@@ -140,26 +159,29 @@ def parse_with_llm(text, category_type, images=None):
     }
     
     fields = field_templates.get(category_type, field_templates['dynamic'])
+    fields_json = json.dumps(fields, ensure_ascii=False, indent=2)
     
     # 构建消息内容
     content_parts = []
     
     # 如果有图片，添加图片内容
     if images and len(images) > 0:
-        content_parts.append({
-            "type": "text",
-            "text": f"""请分析图片中的产品参数信息，提取结构化数据。
+        prompt_text = """请分析图片中的产品参数信息，提取结构化数据。
 
 需要提取的字段：
-{json.dumps(fields, ensure_ascii=False, indent=2)}
+""" + fields_json + """
 
 重要要求：
 1. 图片中可能包含1个或多个产品，请识别所有产品
 2. 如果是多张图片，请综合分析所有图片内容
 3. 数字字段只返回数字，不带单位
 4. 如果某字段没有提及，返回null
-5. 返回格式：如果识别到多个产品，返回数组 [{"name": ...}, {"name": ...}]; 如果只有一个产品，返回单个对象 {"name": ...}
+5. 返回格式：如果识别到多个产品，返回数组 [对象列表]; 如果只有一个产品，返回单个对象
 6. 只返回JSON数据，不要其他内容"""
+        
+        content_parts.append({
+            "type": "text",
+            "text": prompt_text
         })
         
         # 添加每张图片（支持URL或base64）
@@ -194,15 +216,13 @@ def parse_with_llm(text, category_type, images=None):
                         print(f"读取图片失败: {e}")
     else:
         # 纯文本解析
-        content_parts.append({
-            "type": "text",
-            "text": f"""请解析以下文本，提取结构化数据。
+        prompt_text = """请解析以下文本，提取结构化数据。
 
 文本内容：
-{text}
+""" + str(text) + """
 
 需要提取的字段：
-{json.dumps(fields, ensure_ascii=False, indent=2)}
+""" + fields_json + """
 
 要求：
 1. 根据文本内容智能提取各个字段的值
@@ -211,17 +231,24 @@ def parse_with_llm(text, category_type, images=None):
 4. 返回JSON格式，不要包含任何其他内容
 
 请直接返回JSON数据："""
+        
+        content_parts.append({
+            "type": "text",
+            "text": prompt_text
         })
     
     try:
-        # 使用视觉模型解析
-        model = LLM_CONFIG.get('vision_model', 'gpt-4-vision-preview') if images else LLM_CONFIG['model']
+        # 动态获取LLM配置
+        llm_config = get_llm_config()
+        
+        # 使用视觉模型解析（如果有图片）
+        model = llm_config.get('vision_model', 'gpt-4-vision-preview') if images else llm_config['model']
         
         response = requests.post(
-            f"{LLM_CONFIG['base_url']}/chat/completions",
+            f"{llm_config['base_url']}/chat/completions",
             headers={
                 "Content-Type": "application/json",
-                "Authorization": f"Bearer {LLM_CONFIG['api_key']}"
+                "Authorization": f"Bearer {llm_config['api_key']}"
             },
             json={
                 "model": model,
@@ -1375,7 +1402,7 @@ def api_delete_image(filename):
 
 if __name__ == '__main__':
     print("=" * 50)
-    print("ParamHub - 参数百科 v1.4.0")
+    print("ParamHub - 参数百科 v1.7.0")
     print("=" * 50)
     print(f"访问地址: http://localhost:19010")
     print(f"后台管理: http://localhost:19010/admin")

data/categories.json

@@ -5,7 +5,54 @@
     "icon": "ri-robot-line",
     "color": "blue",
     "description": "大语言模型、图像模型等AI模型参数",
-    "order": 1
+    "order": 1,
+    "subcategories": [
+      {
+        "id": "chat",
+        "name": "对话模型",
+        "icon": "ri-chat-3-line",
+        "key_features": ["context_length", "mmlu", "input_price", "output_price"],
+        "feature_labels": {
+          "context_length": "上下文",
+          "mmlu": "MMLU",
+          "input_price": "输入价",
+          "output_price": "输出价"
+        }
+      },
+      {
+        "id": "code",
+        "name": "代码模型",
+        "icon": "ri-code-line",
+        "key_features": ["humaneval", "context_length", "input_price"],
+        "feature_labels": {
+          "humaneval": "HumanEval",
+          "context_length": "上下文",
+          "input_price": "输入价"
+        }
+      },
+      {
+        "id": "reasoning",
+        "name": "推理模型",
+        "icon": "ri-lightbulb-line",
+        "key_features": ["reasoning_capability", "mmlu", "context_length"],
+        "feature_labels": {
+          "reasoning_capability": "推理能力",
+          "mmlu": "MMLU",
+          "context_length": "上下文"
+        }
+      },
+      {
+        "id": "vision",
+        "name": "视觉模型",
+        "icon": "ri-image-line",
+        "key_features": ["vision_capability", "multimodal", "context_length"],
+        "feature_labels": {
+          "vision_capability": "视觉能力",
+          "multimodal": "多模态",
+          "context_length": "上下文"
+        }
+      }
+    ]
   },
   {
     "id": "gpus",
@@ -13,7 +60,45 @@
     "icon": "ri-cpu-line",
     "color": "green",
     "description": "NVIDIA、AMD等GPU显卡规格参数",
-    "order": 2
+    "order": 2,
+    "subcategories": [
+      {
+        "id": "gaming",
+        "name": "游戏显卡",
+        "icon": "ri-gamepad-line",
+        "key_features": ["memory_gb", "cuda_cores", "price_usd", "fp16_tflops"],
+        "feature_labels": {
+          "memory_gb": "显存",
+          "cuda_cores": "CUDA核心",
+          "price_usd": "价格",
+          "fp16_tflops": "FP16性能"
+        }
+      },
+      {
+        "id": "professional",
+        "name": "专业显卡",
+        "icon": "ri-building-line",
+        "key_features": ["memory_gb", "tensor_cores", "memory_bandwidth_gbs", "price_usd"],
+        "feature_labels": {
+          "memory_gb": "显存",
+          "tensor_cores": "Tensor核心",
+          "memory_bandwidth_gbs": "带宽",
+          "price_usd": "价格"
+        }
+      },
+      {
+        "id": "datacenter",
+        "name": "数据中心",
+        "icon": "ri-server-line",
+        "key_features": ["memory_gb", "tensor_cores", "memory_bandwidth_gbs", "fp16_tflops"],
+        "feature_labels": {
+          "memory_gb": "显存",
+          "tensor_cores": "Tensor核心",
+          "memory_bandwidth_gbs": "带宽",
+          "fp16_tflops": "FP16性能"
+        }
+      }
+    ]
   },
   {
     "id": "cpus",
@@ -21,7 +106,45 @@
     "icon": "ri-cpu-line",
     "color": "purple",
     "description": "Intel、AMD等CPU处理器参数",
-    "order": 3
+    "order": 3,
+    "subcategories": [
+      {
+        "id": "desktop",
+        "name": "桌面CPU",
+        "icon": "ri-computer-line",
+        "key_features": ["cores", "threads", "boost_clock_ghz", "price_usd"],
+        "feature_labels": {
+          "cores": "核心",
+          "threads": "线程",
+          "boost_clock_ghz": "加速频率",
+          "price_usd": "价格"
+        }
+      },
+      {
+        "id": "server",
+        "name": "服务器CPU",
+        "icon": "ri-server-line",
+        "key_features": ["cores", "threads", "l3_cache_mb", "tdp_watts"],
+        "feature_labels": {
+          "cores": "核心",
+          "threads": "线程",
+          "l3_cache_mb": "L3缓存",
+          "tdp_watts": "功耗"
+        }
+      },
+      {
+        "id": "mobile",
+        "name": "移动CPU",
+        "icon": "ri-smartphone-line",
+        "key_features": ["cores", "threads", "base_clock_ghz", "tdp_watts"],
+        "feature_labels": {
+          "cores": "核心",
+          "threads": "线程",
+          "base_clock_ghz": "基础频率",
+          "tdp_watts": "功耗"
+        }
+      }
+    ]
   },
   {
     "id": "phones",
@@ -30,7 +153,33 @@
     "color": "orange",
     "description": "各品牌手机参数规格",
     "order": 4,
-    "visible": false
+    "visible": true,
+    "subcategories": [
+      {
+        "id": "flagship",
+        "name": "旗舰手机",
+        "icon": "ri-star-line",
+        "key_features": ["processor", "ram_gb", "storage_gb", "price"],
+        "feature_labels": {
+          "processor": "处理器",
+          "ram_gb": "内存",
+          "storage_gb": "存储",
+          "price": "价格"
+        }
+      },
+      {
+        "id": "midrange",
+        "name": "中端手机",
+        "icon": "ri-price-tag-3-line",
+        "key_features": ["processor", "ram_gb", "battery_mah", "price"],
+        "feature_labels": {
+          "processor": "处理器",
+          "ram_gb": "内存",
+          "battery_mah": "电池",
+          "price": "价格"
+        }
+      }
+    ]
   },
   {
     "id": "laptops",
@@ -38,7 +187,33 @@
     "icon": "ri-macbook-line",
     "color": "teal",
     "description": "笔记本电脑、台式机参数",
-    "order": 5
+    "order": 5,
+    "subcategories": [
+      {
+        "id": "gaming-laptop",
+        "name": "游戏笔记本",
+        "icon": "ri-gamepad-line",
+        "key_features": ["processor", "gpu", "ram_gb", "price"],
+        "feature_labels": {
+          "processor": "处理器",
+          "gpu": "显卡",
+          "ram_gb": "内存",
+          "price": "价格"
+        }
+      },
+      {
+        "id": "business-laptop",
+        "name": "商务笔记本",
+        "icon": "ri-briefcase-line",
+        "key_features": ["processor", "ram_gb", "weight_kg", "price"],
+        "feature_labels": {
+          "processor": "处理器",
+          "ram_gb": "内存",
+          "weight_kg": "重量",
+          "price": "价格"
+        }
+      }
+    ]
   },
   {
     "id": "021dc76d36be",
@@ -47,6 +222,66 @@
     "color": "red",
     "order": 6,
     "description": "汽车方面",
-    "created_at": "2026-04-09 10:09:01"
+    "created_at": "2026-04-09 10:09:01",
+    "subcategories": [
+      {
+        "id": "sedan",
+        "name": "轿车",
+        "icon": "ri-car-line",
+        "key_features": ["engine", "power_kw", "price"],
+        "feature_labels": {
+          "engine": "发动机",
+          "power_kw": "功率",
+          "price": "价格"
+        }
+      },
+      {
+        "id": "suv",
+        "name": "SUV",
+        "icon": "ri-truck-line",
+        "key_features": ["engine", "seats", "price"],
+        "feature_labels": {
+          "engine": "发动机",
+          "seats": "座位数",
+          "price": "价格"
+        }
+      }
+    ]
+  },
+  {
+    "id": "71fa2b4d818f",
+    "name": "摄像",
+    "icon": "ri-camera-line",
+    "color": "blue",
+    "order": 0,
+    "visible": true,
+    "description": "相机、摄像机等",
+    "created_at": "2026-04-25 16:38:47",
+    "subcategories": [
+      {
+        "id": "mirrorless",
+        "name": "无反相机",
+        "icon": "ri-camera-line",
+        "key_features": ["sensor", "megapixels", "video_resolution", "price"],
+        "feature_labels": {
+          "sensor": "传感器",
+          "megapixels": "像素",
+          "video_resolution": "视频",
+          "price": "价格"
+        }
+      },
+      {
+        "id": "dslr",
+        "name": "单反相机",
+        "icon": "ri-camera-2-line",
+        "key_features": ["sensor", "megapixels", "lens_mount", "price"],
+        "feature_labels": {
+          "sensor": "传感器",
+          "megapixels": "像素",
+          "lens_mount": "卡口",
+          "price": "价格"
+        }
+      }
+    ]
   }
 ]

data/config.json

@@ -6,5 +6,9 @@
   "copyright_year": "2026",
   "contact_email": "wlq@tphai.com",
   "github_url": "",
-  "updated_at": "2026-04-11 02:28:39"
+  "updated_at": "2026-04-27 19:57:00",
+  "llm_base_url": "http://192.168.2.17:19007/v1",
+  "llm_api_key": "",
+  "llm_model": "auto",
+  "llm_vision_model": "gpt-4-vision-preview"
 }

templates/admin.html

@@ -57,6 +57,8 @@
             <h1 class="text-2xl font-bold text-gray-800 mb-6">网站配置</h1>
             <div class="bg-white rounded-xl shadow-sm p-6">
                 <form id="configForm" class="space-y-6">
+                    <!-- 网站基础配置 -->
+                    <h3 class="text-lg font-semibold text-gray-800 border-b pb-2 mb-4"><i class="ri-global-line mr-2"></i>网站基础配置</h3>
                     <div class="grid grid-cols-2 gap-6">
                         <div>
                             <label class="block text-sm font-medium text-gray-700 mb-2">网站名称</label>
@@ -87,6 +89,33 @@
                         <label class="block text-sm font-medium text-gray-700 mb-2">页脚文字</label>
                         <textarea name="footer_text" id="config_footer_text" rows="3" class="w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500" placeholder="网站底部的版权信息等"></textarea>
                     </div>
+                    
+                    <!-- 大模型接口配置 -->
+                    <h3 class="text-lg font-semibold text-gray-800 border-b pb-2 mb-4 mt-8"><i class="ri-robot-line mr-2"></i>大模型接口配置（用于智能解析）</h3>
+                    <div class="bg-blue-50 rounded-lg p-4 mb-4">
+                        <p class="text-sm text-blue-700"><i class="ri-information-line mr-1"></i>配置用于智能解析产品参数的大模型API接口。文本解析使用普通模型，图片解析使用视觉模型。</p>
+                    </div>
+                    <div class="grid grid-cols-2 gap-6">
+                        <div>
+                            <label class="block text-sm font-medium text-gray-700 mb-2">API地址</label>
+                            <input type="url" name="llm_base_url" id="config_llm_base_url" class="w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500" placeholder="http://192.168.2.17:19007/v1">
+                        </div>
+                        <div>
+                            <label class="block text-sm font-medium text-gray-700 mb-2">API Key</label>
+                            <input type="text" name="llm_api_key" id="config_llm_api_key" class="w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500" placeholder="留空则不验证">
+                        </div>
+                        <div>
+                            <label class="block text-sm font-medium text-gray-700 mb-2">文本解析模型</label>
+                            <input type="text" name="llm_model" id="config_llm_model" class="w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500" placeholder="auto">
+                            <p class="text-xs text-gray-500 mt-1">用于解析文本数据，如 deepseek-v3、qwen3.5 等</p>
+                        </div>
+                        <div>
+                            <label class="block text-sm font-medium text-gray-700 mb-2">图片解析模型（视觉模型）</label>
+                            <input type="text" name="llm_vision_model" id="config_llm_vision_model" class="w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500" placeholder="gpt-4-vision-preview">
+                            <p class="text-xs text-gray-500 mt-1">用于解析图片，如 Qwen/Qwen2-VL-72B-Instruct、gpt-4-vision-preview 等</p>
+                        </div>
+                    </div>
+                    
                     <div class="flex justify-end gap-4">
                         <button type="button" onclick="loadSiteConfig()" class="px-4 py-2 bg-gray-200 text-gray-700 rounded-lg hover:bg-gray-300"><i class="ri-refresh-line mr-1"></i>重置</button>
                         <button type="button" onclick="saveSiteConfig()" class="px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700"><i class="ri-save-line mr-1"></i>保存配置</button>
@@ -553,6 +582,7 @@
             const res = await fetch('/api/config');
             const config = await res.json();
             
+            // 网站基础配置
             document.getElementById('config_site_name').value = config.site_name || '';
             document.getElementById('config_site_subtitle').value = config.site_subtitle || '';
             document.getElementById('config_icp_number').value = config.icp_number || '';
@@ -560,11 +590,18 @@
             document.getElementById('config_github_url').value = config.github_url || '';
             document.getElementById('config_copyright_year').value = config.copyright_year || '';
             document.getElementById('config_footer_text').value = config.footer_text || '';
+            
+            // LLM配置
+            document.getElementById('config_llm_base_url').value = config.llm_base_url || 'http://192.168.2.17:19007/v1';
+            document.getElementById('config_llm_api_key').value = config.llm_api_key || '';
+            document.getElementById('config_llm_model').value = config.llm_model || 'auto';
+            document.getElementById('config_llm_vision_model').value = config.llm_vision_model || 'gpt-4-vision-preview';
         }
         
         // 保存网站配置
         async function saveSiteConfig() {
             const config = {
+                // 网站基础配置
                 site_name: document.getElementById('config_site_name').value,
                 site_subtitle: document.getElementById('config_site_subtitle').value,
                 icp_number: document.getElementById('config_icp_number').value,
@@ -572,6 +609,11 @@
                 github_url: document.getElementById('config_github_url').value,
                 copyright_year: document.getElementById('config_copyright_year').value,
                 footer_text: document.getElementById('config_footer_text').value,
+                // LLM配置
+                llm_base_url: document.getElementById('config_llm_base_url').value,
+                llm_api_key: document.getElementById('config_llm_api_key').value,
+                llm_model: document.getElementById('config_llm_model').value,
+                llm_vision_model: document.getElementById('config_llm_vision_model').value,
             };
             
             try {
@@ -880,6 +922,13 @@
                     else if (key === 'images') {
                         try { data[key] = JSON.parse(value); } catch { data[key] = []; }
                     }
+                    else if (key === 'subcategories') {
+                        // 解析子类别JSON
+                        try { data[key] = JSON.parse(value); } catch { 
+                            alert('子类别JSON格式错误，请检查格式');
+                            return;
+                        }
+                    }
                     else data[key] = value;
                 }
             });
@@ -979,31 +1028,50 @@
         // 从剪贴板粘贴图片
         async function pasteImageFromClipboard(type) {
             try {
+                // 检查剪贴板API是否可用（需要HTTPS或localhost）
+                if (!navigator.clipboard || !navigator.clipboard.read) {
+                    alert('剪贴板API需要HTTPS或localhost环境。\n当前访问地址不支持，请使用文件选择上传。\n\n可改用 localhost:19010 访问来支持粘贴功能。');
+                    return;
+                }
+                
                 const clipboardItems = await navigator.clipboard.read();
+                let found = false;
                 for (const item of clipboardItems) {
-                    for (const type of item.types) {
-                        if (type.startsWith('image/')) {
-                            const blob = await item.getType(type);
+                    for (const itemType of item.types) {
+                        if (itemType.startsWith('image/')) {
+                            found = true;
+                            const blob = await item.getType(itemType);
                             const reader = new FileReader();
                             reader.onload = async (e) => {
                                 const base64 = e.target.result;
-                                const res = await fetch('/api/upload/image/base64', {
-                                    method: 'POST',
-                                    headers: { 'Content-Type': 'application/json' },
-                                    body: JSON.stringify({ image: base64 })
-                                });
-                                const data = await res.json();
-                                if (data.success) {
-                                    currentImages.push(data.url);
-                                    updateImagePreview();
+                                try {
+                                    const res = await fetch('/api/upload/image/base64', {
+                                        method: 'POST',
+                                        headers: { 'Content-Type': 'application/json' },
+                                        body: JSON.stringify({ image: base64 })
+                                    });
+                                    const data = await res.json();
+                                    if (data.success) {
+                                        currentImages.push(data.url);
+                                        updateImagePreview();
+                                    }
+                                } catch (err) {
+                                    alert('上传失败: ' + err.message);
                                 }
                             };
                             reader.readAsDataURL(blob);
                         }
                     }
                 }
+                if (!found) {
+                    alert('剪贴板中没有图片，请先复制一张图片');
+                }
             } catch (e) {
-                alert('无法从剪贴板获取图片，请使用文件选择');
+                if (e.name === 'NotAllowedError') {
+                    alert('浏览器拒绝访问剪贴板。\n请使用文件选择上传，或改用 localhost:19010 访问。');
+                } else {
+                    alert('无法从剪贴板获取图片: ' + e.message + '\n请使用文件选择上传');
+                }
             }
         }
         
@@ -1035,6 +1103,9 @@
 
         // 表单模板
         function getCategoryForm(data = {}) {
+            const subcategories = data.subcategories || [];
+            const subcategoriesJson = JSON.stringify(subcategories, null, 2);
+            
             return `<form id="itemForm" class="space-y-4">
                 <div class="grid grid-cols-2 gap-4">
                     <div><label class="text-sm text-gray-600 mb-1 block">ID *</label><input type="text" name="id" value="${data.id || ''}" ${data.id ? 'readonly' : ''} required class="w-full px-3 py-2 border rounded-lg ${data.id ? 'bg-gray-100' : ''}"></div>
@@ -1055,6 +1126,24 @@
                     </select></div>
                 </div>
                 <div><label class="text-sm text-gray-600 mb-1 block">描述</label><textarea name="description" rows="2" class="w-full px-3 py-2 border rounded-lg">${data.description || ''}</textarea></div>
+                
+                <!-- 子类别配置 -->
+                <div class="border-t pt-4">
+                    <label class="text-sm text-gray-600 mb-2 block"><i class="ri-folder-line mr-1"></i>子类别配置（JSON格式）</label>
+                    <div class="bg-blue-50 rounded-lg p-3 mb-2 text-xs text-blue-700">
+                        <p class="mb-2">子类别配置示例：</p>
+                        <pre class="bg-blue-100 p-2 rounded overflow-x-auto">[
+  {
+    "id": "chat",
+    "name": "对话模型",
+    "icon": "ri-chat-3-line",
+    "key_features": ["context_length", "mmlu"],
+    "feature_labels": {"context_length": "上下文", "mmlu": "MMLU"}
+  }
+]</pre>
+                    </div>
+                    <textarea name="subcategories" rows="8" class="w-full px-3 py-2 border rounded-lg font-mono text-sm" placeholder='[]'>${subcategoriesJson}</textarea>
+                </div>
             </form>`;
         }
 
@@ -1221,31 +1310,50 @@
         // 从剪贴板粘贴图片
         async function pasteSmartImageFromClipboard() {
             try {
+                // 检查剪贴板API是否可用（需要HTTPS或localhost）
+                if (!navigator.clipboard || !navigator.clipboard.read) {
+                    alert('剪贴板API需要HTTPS或localhost环境。\n当前访问地址不支持，请使用文件选择上传。\n\n可改用 localhost:19010 访问来支持粘贴功能。');
+                    return;
+                }
+                
                 const clipboardItems = await navigator.clipboard.read();
+                let found = false;
                 for (const item of clipboardItems) {
                     for (const type of item.types) {
                         if (type.startsWith('image/')) {
+                            found = true;
                             const blob = await item.getType(type);
                             const reader = new FileReader();
                             reader.onload = async (e) => {
                                 const base64 = e.target.result;
-                                const res = await fetch('/api/upload/image/base64', {
-                                    method: 'POST',
-                                    headers: { 'Content-Type': 'application/json' },
-                                    body: JSON.stringify({ image: base64 })
-                                });
-                                const data = await res.json();
-                                if (data.success) {
-                                    smartAddImages.push(data.url);
-                                    updateSmartImagePreview();
+                                try {
+                                    const res = await fetch('/api/upload/image/base64', {
+                                        method: 'POST',
+                                        headers: { 'Content-Type': 'application/json' },
+                                        body: JSON.stringify({ image: base64 })
+                                    });
+                                    const data = await res.json();
+                                    if (data.success) {
+                                        smartAddImages.push(data.url);
+                                        updateSmartImagePreview();
+                                    }
+                                } catch (err) {
+                                    alert('上传失败: ' + err.message);
                                 }
                             };
                             reader.readAsDataURL(blob);
                         }
                     }
                 }
+                if (!found) {
+                    alert('剪贴板中没有图片，请先复制一张图片');
+                }
             } catch (e) {
-                alert('无法从剪贴板获取图片，请使用文件选择');
+                if (e.name === 'NotAllowedError') {
+                    alert('浏览器拒绝访问剪贴板。\n请使用文件选择上传，或改用 localhost:19010 访问。');
+                } else {
+                    alert('无法从剪贴板获取图片: ' + e.message + '\n请使用文件选择上传');
+                }
             }
         }
         

templates/models.html

@@ -32,6 +32,19 @@
             <p class="text-gray-500 mt-1">AI大模型参数规格一览</p>
         </div>
 
+        <!-- 子类别选择器 -->
+        <div class="bg-white rounded-xl shadow-sm p-4 mb-4">
+            <div class="flex items-center gap-2 mb-2">
+                <span class="text-sm text-gray-600"><i class="ri-folder-line mr-1"></i>子类别：</span>
+            </div>
+            <div class="flex gap-2" id="subcategoryTabs">
+                <button onclick="selectSubcategory('')" class="px-4 py-2 bg-indigo-600 text-white rounded-lg text-sm" id="subcat-all">
+                    <i class="ri-apps-line mr-1"></i>全部
+                </button>
+                <!-- 动态加载子类别 -->
+            </div>
+        </div>
+
         <!-- 搜索和筛选 -->
         <div class="bg-white rounded-xl shadow-sm p-4 mb-6">
             <div class="flex gap-4 items-center">
@@ -101,12 +114,38 @@
     <script>
         let allModels = [];
         let categories = [];
+        let currentCategory = null;
+        let currentSubcategory = '';
+        
+        // 子类别默认特性配置
+        const DEFAULT_KEY_FEATURES = {
+            'chat': ['context_length', 'mmlu', 'input_price', 'output_price'],
+            'code': ['humaneval', 'context_length', 'input_price'],
+            'reasoning': ['mmlu', 'context_length', 'parameters'],
+            'vision': ['context_length', 'mmlu', 'input_price']
+        };
+        
+        const FEATURE_LABELS = {
+            'context_length': '上下文',
+            'mmlu': 'MMLU',
+            'humaneval': 'HumanEval',
+            'input_price': '输入价',
+            'output_price': '输出价',
+            'parameters': '参数量',
+            'reasoning_capability': '推理',
+            'vision_capability': '视觉',
+            'multimodal': '多模态'
+        };
 
         // 加载导航栏
         async function loadNav() {
             const res = await fetch('/api/categories');
             categories = await res.json();
             
+            // 获取当前类别的子类别
+            currentCategory = categories.find(c => c.id === 'ai-models');
+            renderSubcategoryTabs();
+            
             const builtinPages = [
                 {name: '首页', href: '/'},
                 {name: '工具', href: '/tools'},
@@ -134,6 +173,49 @@
             
             document.getElementById('topNav').innerHTML = navHtml;
         }
+        
+        // 渲染子类别选择器
+        function renderSubcategoryTabs() {
+            const container = document.getElementById('subcategoryTabs');
+            if (!currentCategory || !currentCategory.subcategories) {
+                container.innerHTML = '';
+                return;
+            }
+            
+            let html = `<button onclick="selectSubcategory('')" class="px-4 py-2 ${currentSubcategory === '' ? 'bg-indigo-600 text-white' : 'bg-gray-100 text-gray-600 hover:bg-gray-200'} rounded-lg text-sm" id="subcat-all">
+                <i class="ri-apps-line mr-1"></i>全部
+            </button>`;
+            
+            currentCategory.subcategories.forEach(sub => {
+                const isActive = currentSubcategory === sub.id;
+                html += `<button onclick="selectSubcategory('${sub.id}')" class="px-4 py-2 ${isActive ? 'bg-indigo-600 text-white' : 'bg-gray-100 text-gray-600 hover:bg-gray-200'} rounded-lg text-sm" id="subcat-${sub.id}">
+                    <i class="${sub.icon || 'ri-folder-line'} mr-1"></i>${sub.name}
+                </button>`;
+            });
+            
+            container.innerHTML = html;
+        }
+        
+        // 选择子类别
+        function selectSubcategory(subId) {
+            currentSubcategory = subId;
+            renderSubcategoryTabs();
+            loadModels();
+        }
+        
+        // 获取当前子类别的关键特性
+        function getKeyFeatures() {
+            if (!currentSubcategory || !currentCategory || !currentCategory.subcategories) {
+                return ['parameters', 'context_length', 'mmlu', 'input_price'];
+            }
+            
+            const subcat = currentCategory.subcategories.find(s => s.id === currentSubcategory);
+            if (subcat && subcat.key_features) {
+                return subcat.key_features;
+            }
+            
+            return ['parameters', 'context_length', 'mmlu', 'input_price'];
+        }
 
         async function loadModels() {
             const keyword = document.getElementById('searchInput').value.trim();
@@ -155,6 +237,21 @@
                 models = models.filter(m => !m.is_open_source);
             }
             
+            // 子类别过滤（通过模型名称/描述中的关键词判断）
+            if (currentSubcategory && currentCategory && currentCategory.subcategories) {
+                const subcat = currentCategory.subcategories.find(s => s.id === currentSubcategory);
+                if (subcat) {
+                    // 简化过滤：根据子类别关键词匹配
+                    // 实际应该有 subcategory_id 字段，这里暂时用名称匹配
+                    // 用户可以在后台编辑时指定子类别
+                    models = models.filter(m => {
+                        const subcatField = m.subcategory || m.subcategory_id;
+                        if (subcatField) return subcatField === currentSubcategory;
+                        return true; // 暂时显示全部，等后台支持子类别字段后再过滤
+                    });
+                }
+            }
+            
             renderModels(models);
         }
 
@@ -166,7 +263,31 @@
                 return;
             }
             
-            const html = models.map(m => `
+            // 动态获取关键特性
+            const keyFeatures = getKeyFeatures();
+            
+            // 动态表头
+            let headerHtml = `
+                <tr>
+                    <th class="px-4 py-3 text-left text-sm font-medium text-gray-600">模型名称</th>
+                    <th class="px-4 py-3 text-left text-sm font-medium text-gray-600">厂商</th>
+            `;
+            
+            keyFeatures.forEach(f => {
+                headerHtml += `<th class="px-4 py-3 text-left text-sm font-medium text-gray-600">${FEATURE_LABELS[f] || f}</th>`;
+            });
+            
+            headerHtml += `
+                    <th class="px-4 py-3 text-left text-sm font-medium text-gray-600">类型</th>
+                    <th class="px-4 py-3 text-center text-sm font-medium text-gray-600">操作</th>
+                </tr>
+            `;
+            
+            document.querySelector('#modelsTable thead').innerHTML = headerHtml;
+            
+            // 动态内容
+            const html = models.map(m => {
+                let rowHtml = `
                 <tr class="border-b hover:bg-gray-50 transition ${m.is_pinned ? 'bg-yellow-50' : ''}">
                     <td class="px-4 py-3">
                         <div class="flex items-center gap-2">
@@ -178,31 +299,57 @@
                         </div>
                     </td>
                     <td class="px-4 py-3 text-gray-600">${m.organization}</td>
-                    <td class="px-4 py-3">
-                        <span class="px-2 py-1 bg-blue-100 text-blue-700 rounded text-sm">${m.parameters}B</span>
-                    </td>
-                    <td class="px-4 py-3 text-gray-600">${formatContext(m.context_length)}</td>
-                    <td class="px-4 py-3">
-                        <span class="px-2 py-1 bg-green-100 text-green-700 rounded text-sm">${m.mmlu || '-'}%</span>
-                    </td>
+                `;
+                
+                // 关键特性列
+                keyFeatures.forEach(f => {
+                    const value = formatFeatureValue(f, m);
+                    rowHtml += `<td class="px-4 py-3">${value}</td>`;
+                });
+                
+                rowHtml += `
                     <td class="px-4 py-3">
                         ${m.is_open_source 
                             ? '<span class="px-2 py-1 bg-emerald-100 text-emerald-700 rounded text-sm">开源</span>'
                             : '<span class="px-2 py-1 bg-gray-100 text-gray-700 rounded text-sm">商业</span>'}
                     </td>
-                    <td class="px-4 py-3 text-sm text-gray-600">
-                        ${m.input_price ? `$${m.input_price}/$${m.output_price}` : '免费'}
-                    </td>
                     <td class="px-4 py-3 text-center">
                         <button onclick="showDetail('${m.id}')" class="text-indigo-600 hover:text-indigo-800 text-sm">
                             <i class="ri-eye-line mr-1"></i>详情
                         </button>
                     </td>
                 </tr>
-            `).join('');
+                `;
+                
+                return rowHtml;
+            }).join('');
             
             document.getElementById('modelsTable').innerHTML = html;
         }
+        
+        // 格式化特性值
+        function formatFeatureValue(feature, model) {
+            const value = model[feature];
+            
+            if (value === null || value === undefined) return '<span class="text-gray-400">-</span>';
+            
+            switch (feature) {
+                case 'parameters':
+                    return `<span class="px-2 py-1 bg-blue-100 text-blue-700 rounded text-sm">${value}B</span>`;
+                case 'context_length':
+                    return `<span class="text-gray-600">${formatContext(value)}</span>`;
+                case 'mmlu':
+                    return `<span class="px-2 py-1 bg-green-100 text-green-700 rounded text-sm">${value}%</span>`;
+                case 'humaneval':
+                    return `<span class="px-2 py-1 bg-purple-100 text-purple-700 rounded text-sm">${value}%</span>`;
+                case 'input_price':
+                    return `<span class="text-sm text-gray-600">$${value || 0}</span>`;
+                case 'output_price':
+                    return `<span class="text-sm text-gray-600">$${value || 0}</span>`;
+                default:
+                    return `<span class="text-gray-600">${value}</span>`;
+            }
+        }
 
         function formatContext(len) {
             if (!len) return '-';