feat: 后台管理所有类别数据添加子类别字段和筛选功能

data/categories.json

@@ -366,8 +366,15 @@
           "price"
         ],
         "name": "单反相机"
+      },
+      {
+        "id": "90ce312b560d",
+        "name": "口袋云台相机",
+        "icon": "ri-folder-line",
+        "key_features": [],
+        "feature_labels": {}
       }
     ],
-    "updated_at": "2026-04-28 09:44:52"
+    "updated_at": "2026-04-28 10:55:02"
   }
 ]

data/gpus.json

@@ -171,7 +171,10 @@
     "raw_text": "据tweaktown报道，NVIDIA为中国市场定制的全新工作站显卡RTX 6000D近日迎来首度拆解。该卡搭载84GB GDDR7显存、19968个CUDA核心，采用被动散热设计，专为服务器机箱风道优化。\n\n\n相较于满血RTX PRO 6000（96GB GDDR7/512-bit），中国特供版RTX 6000D在规格上进行了多处调整。国内团队“技数犬”发布了拆解视频。\n\n据了解，RTX 6000D为无风扇被动散热设计，完全依靠机箱气流降温。\n\nRTX 6000D搭载28颗VRAM模块，总计84GB GDDR7显存，显存总线为448位（相比RTX PRO 6000的96GB/512位有所减少）。\n\nRTX 6000D GPU 核心为156 SM单元，19,968个CUDA核心，比RTX PRO 6000少约17%。\n\nRTX 6000D核心频率为2430MHz（RTX PRO 6000为2600MHz），TDP暂未公布。性能方面，RTX 6000D在Geekbench 6 OpenCL测试中获得390,656分，低于RTX PRO 6000的45–50万分。",
     "currency": "CNY",
     "price_usd": 45000,
-    "updated_at": "2026-04-20 18:28:10"
+    "updated_at": "2026-04-28 11:56:48",
+    "subcategory_id": "professional",
+    "views": 0,
+    "images": []
   },
   {
     "name": "RTX PRO 6000",
@@ -185,7 +188,10 @@
     "cuda_cores": 24064,
     "currency": "CNY",
     "price_usd": 65000,
-    "updated_at": "2026-04-20 18:28:23",
-    "manufacturer": "NVIDIA"
+    "updated_at": "2026-04-28 11:56:38",
+    "manufacturer": "NVIDIA",
+    "subcategory_id": "professional",
+    "views": 0,
+    "images": []
   }
 ]

data/models.json

@@ -9,13 +9,16 @@
     "input_price": 0.03,
     "output_price": 0.06,
     "mmlu": 86.4,
-    "humaneval": 67.0,
+    "humaneval": 67,
     "is_open_source": false,
     "license": "Proprietary",
     "description": "OpenAI最强大的多模态大模型",
     "created_at": "2024-01-01",
-    "updated_at": "2026-04-28 10:09:47",
-    "raw_text": "\nGPT-4 Turbo version with 128K context length, price is $10 per 1M input tokens"
+    "updated_at": "2026-04-28 11:57:02",
+    "raw_text": "\nGPT-4 Turbo version with 128K context length, price is $10 per 1M input tokens",
+    "subcategory_id": "chat",
+    "views": 0,
+    "images": []
   },
   {
     "id": "gpt4turbo",