feat(market): 技能/MCP 分类改为面向用户的业务场景(人群->场景)，AI验证期按场景归类

backend/python/app/api/market.py

@@ -18,7 +18,7 @@ from ..models import (
 )
 from ..auth import get_current_user, get_current_user_id, get_current_user_id_optional
 from ..middleware.log_service import LogService
-from ..capability_registry import CAPABILITY_TYPES, resolve_auto_model as _resolve_auto_model
+from ..capability_registry import resolve_auto_model as _resolve_auto_model
 from app.api.admin.mcp_admin import _test_mcp_server, parse_mcp_config
 
 router = APIRouter()
@@ -207,9 +207,48 @@ def verify_agent_connectivity(platform: str, endpoint: str, api_key: str) -> dic
         return {"ok": False, "verified": False, "detail": f"地址不可达：{_short_err(e)}"}
 
 
-# ===== 能力分类（AI 自动归类，任何失败都返回 None，不阻断导入） =====
+# ===== 业务场景分类（面向用户的技能/MCP 分类，与后端模型路由的 capability_registry 解耦） =====
-def _classify_capability(name: str, description: Optional[str], content: Optional[str], db: Session) -> Optional[str]:
+# 注意：MarketApp.capability 列在此存放「业务场景 id」（见 MARKET_SCENES），不再是 text/vision 等模型能力。
-    """用平台文本模型把应用归类到 11 种能力之一；失败返回 None（不阻断导入）。"""
+MARKET_SCENES: list = [
+    # 自由职业者
+    {"id": "freelance_content", "label": "内容创作/自媒体", "color": "#F59E0B", "group": "freelance"},
+    {"id": "freelance_client",  "label": "客户沟通/提案",  "color": "#F97316", "group": "freelance"},
+    {"id": "freelance_finance", "label": "报价合同/记账",  "color": "#FBBF24", "group": "freelance"},
+    # 上班从业者
+    {"id": "office_doc",   "label": "文档/会议纪要",  "color": "#3B82F6", "group": "office"},
+    {"id": "office_data",  "label": "数据/报表分析", "color": "#6366F1", "group": "office"},
+    {"id": "office_email", "label": "邮件/协作",     "color": "#0EA5E9", "group": "office"},
+    {"id": "office_pm",    "label": "项目/周报",     "color": "#8B5CF6", "group": "office"},
+    # 育人教育者
+    {"id": "edu_prepare", "label": "备课/课件",     "color": "#10B981", "group": "educator"},
+    {"id": "edu_grade",   "label": "作业批改/测评", "color": "#14B8A6", "group": "educator"},
+    {"id": "edu_tutor",   "label": "学情辅导/答疑", "color": "#22C55E", "group": "educator"},
+    {"id": "edu_home",    "label": "家校沟通",      "color": "#84CC16", "group": "educator"},
+    # 电商创业
+    {"id": "biz_product", "label": "商品/营销文案", "color": "#EC4899", "group": "commerce"},
+    {"id": "biz_service", "label": "客服/转化",     "color": "#F43F5E", "group": "commerce"},
+    {"id": "biz_ops",     "label": "运营/投放",     "color": "#D946EF", "group": "commerce"},
+    # 通用提效
+    {"id": "general_write",    "label": "通用写作",      "color": "#64748B", "group": "general"},
+    {"id": "general_research", "label": "资料/调研",     "color": "#06B6D4", "group": "general"},
+    {"id": "general_agent",    "label": "智能体/自动化", "color": "#A855F7", "group": "general"},
+]
+SCENE_GROUPS: list = [
+    {"id": "freelance", "label": "自由职业者"},
+    {"id": "office",    "label": "上班从业者"},
+    {"id": "educator",  "label": "育人教育者"},
+    {"id": "commerce",  "label": "电商创业"},
+    {"id": "general",   "label": "通用提效"},
+]
+_VALID_SCENE_IDS = {s["id"] for s in MARKET_SCENES}
+
+
+def _scene_label(scene_id):
+    return next((s["label"] for s in MARKET_SCENES if s["id"] == scene_id), None)
+
+
+def _classify_scene(name: str, description: Optional[str], content: Optional[str], db: Session) -> Optional[str]:
+    """用平台文本模型把应用归类到面向用户的业务场景之一；失败返回 None（不阻断导入）。"""
     try:
         text_model = _resolve_auto_model("text", db)
         if not text_model:
@@ -225,9 +264,10 @@ def _classify_capability(name: str, description: Optional[str], content: Optiona
         )
         if not api_url:
             return None
-        options = "、".join(f"{c['id']}({c['label']})" for c in CAPABILITY_TYPES)
+        options = "、".join(f"{s['id']}({s['label']})" for s in MARKET_SCENES)
         sys_prompt = (
-            "你是应用市场的能力分类器。根据应用名称、描述与内容，把它精确归类到下列能力之一："
+            "你是 AI 应用市场的『业务场景分类器』。请站在使用者视角，根据应用名称、描述与内容，"
+            "判断它最常被哪一类【人群 / 岗位 / 业务场景】的用户使用，并归类到下列场景之一："
             f"{options}。\n只返回一个 JSON 对象：{{\"capability\": \"<id>\"}}，不要任何额外解释或 Markdown。"
         )
         user_text = f"名称：{name}\n描述：{description or ''}\n内容摘要：{(content or '')[:2000]}"
@@ -247,7 +287,7 @@ def _classify_capability(name: str, description: Optional[str], content: Optiona
         data = r.json()
         text_out = data.get("choices", [{}])[0].get("message", {}).get("content", "")
         m = re.search(r'"capability"\s*:\s*"([a-z_]+)"', text_out)
-        if m and m.group(1) in {c["id"] for c in CAPABILITY_TYPES}:
+        if m and m.group(1) in _VALID_SCENE_IDS:
             return m.group(1)
         return None
     except Exception:
@@ -283,9 +323,9 @@ def detect_capability(
     db: Session = Depends(get_db),
     current_user: User = Depends(get_current_user),
 ):
-    """导入前 AI 验证阶段：根据名称/描述/内容识别能力分类，供前台预填并允许用户修改。"""
+    """导入前 AI 验证阶段：根据名称/描述/内容识别业务场景分类，供前台预填并允许用户修改。"""
-    cap = _classify_capability(req.name, req.description, req.skill_content, db)
+    cap = _classify_scene(req.name, req.description, req.skill_content, db)
-    label = next((c["label"] for c in CAPABILITY_TYPES if c["id"] == cap), None)
+    label = _scene_label(cap)
     return {"code": 0, "data": {"capability": cap, "label": label}, "message": "ok"}
 
 
@@ -528,7 +568,7 @@ def upload_app(
     )
     # 能力分类：前端显式指定优先；否则导入阶段由 AI 自动归类；都不行则留空（不阻断导入）
     _classify_content = req.skill_content or req.download_url or ""
-    app.capability = req.capability or _classify_capability(req.name, req.description, _classify_content, db) or None
+    app.capability = req.capability or _classify_scene(req.name, req.description, _classify_content, db) or None
     db.add(app)
     db.commit()
     db.refresh(app)

frontend/src/pages/front/MarketPage.css

@@ -1744,10 +1744,26 @@
 .capability-filter {
   display: flex;
   flex-wrap: wrap;
+  align-items: center;
   gap: var(--space-xs);
   padding: var(--space-sm) 0 0;
 }
 
+.cap-group-label {
+  display: inline-flex;
+  align-items: center;
+  margin-left: var(--space-sm);
+  padding: 0 4px;
+  font-size: 11px;
+  font-weight: 700;
+  color: var(--color-text-tertiary);
+  letter-spacing: 0.02em;
+}
+
+.cap-group-label:first-of-type {
+  margin-left: 0;
+}
+
 .cap-chip {
   padding: 4px 12px;
   font-size: var(--text-xs);

frontend/src/pages/front/MarketPage.tsx

@@ -182,30 +182,53 @@ const typeIcons: Record<AppType, React.ReactNode> = {
   mcp: <McpIcon />,
 };
 
-// ===== 能力分类（与后端 11 种能力保持一致） =====
+// ===== 业务场景分类（面向用户的技能/MCP 分类，与后端模型路由能力解耦） =====
-const CAPABILITIES: { id: string; label: string; color: string }[] = [
+// 两级：人群大类(SCENE_GROUPS) -> 业务场景(SCENES)。id 与后端 MARKET_SCENES 保持一致。
-  { id: 'text', label: '文本对话', color: '#5B5FED' },
+const SCENES: { id: string; label: string; color: string; group: string }[] = [
-  { id: 'thinking', label: '推理思考', color: '#8B5CF6' },
+  // 自由职业者
-  { id: 'vision', label: '视觉理解', color: '#219B5E' },
+  { id: 'freelance_content', label: '内容创作/自媒体', color: '#F59E0B', group: 'freelance' },
-  { id: 'tool', label: '工具调用', color: '#3B82F6' },
+  { id: 'freelance_client',  label: '客户沟通/提案',  color: '#F97316', group: 'freelance' },
-  { id: 'image', label: '图像生成', color: '#D9383A' },
+  { id: 'freelance_finance', label: '报价合同/记账',  color: '#FBBF24', group: 'freelance' },
-  { id: 'audio', label: '语音合成', color: '#E8922C' },
+  // 上班从业者
-  { id: 'asr', label: '语音识别', color: '#0EA5E9' },
+  { id: 'office_doc',   label: '文档/会议纪要',  color: '#3B82F6', group: 'office' },
-  { id: 'ocr', label: 'OCR识别', color: '#F59E0B' },
+  { id: 'office_data',  label: '数据/报表分析', color: '#6366F1', group: 'office' },
-  { id: 'embedding', label: '嵌入向量', color: '#10B981' },
+  { id: 'office_email', label: '邮件/协作',     color: '#0EA5E9', group: 'office' },
-  { id: 'rerank', label: '重排序', color: '#EC4899' },
+  { id: 'office_pm',    label: '项目/周报',     color: '#8B5CF6', group: 'office' },
-  { id: 'video', label: '视频生成', color: '#EF4444' },
+  // 育人教育者
+  { id: 'edu_prepare', label: '备课/课件',     color: '#10B981', group: 'educator' },
+  { id: 'edu_grade',   label: '作业批改/测评', color: '#14B8A6', group: 'educator' },
+  { id: 'edu_tutor',   label: '学情辅导/答疑', color: '#22C55E', group: 'educator' },
+  { id: 'edu_home',    label: '家校沟通',      color: '#84CC16', group: 'educator' },
+  // 电商创业
+  { id: 'biz_product', label: '商品/营销文案', color: '#EC4899', group: 'commerce' },
+  { id: 'biz_service', label: '客服/转化',     color: '#F43F5E', group: 'commerce' },
+  { id: 'biz_ops',     label: '运营/投放',     color: '#D946EF', group: 'commerce' },
+  // 通用提效
+  { id: 'general_write',    label: '通用写作',      color: '#64748B', group: 'general' },
+  { id: 'general_research', label: '资料/调研',     color: '#06B6D4', group: 'general' },
+  { id: 'general_agent',    label: '智能体/自动化', color: '#A855F7', group: 'general' },
 ];
+const SCENE_GROUPS: { id: string; label: string }[] = [
+  { id: 'freelance', label: '自由职业者' },
+  { id: 'office',    label: '上班从业者' },
+  { id: 'educator',  label: '育人教育者' },
+  { id: 'commerce',  label: '电商创业' },
+  { id: 'general',   label: '通用提效' },
+];
+const SCENE_BY_GROUP: Record<string, typeof SCENES> = SCENE_GROUPS.reduce((acc, g) => {
+  acc[g.id] = SCENES.filter(s => s.group === g.id);
+  return acc;
+}, {} as Record<string, typeof SCENES>);
 
 function CapabilityBadge({ capability }: { capability?: string | null }) {
   if (!capability) return null;
-  const cap = CAPABILITIES.find(c => c.id === capability);
+  const cap = SCENES.find(c => c.id === capability);
   if (!cap) return null;
   return (
     <span
       className="capability-badge"
       style={{ color: cap.color, background: cap.color + '1A', borderColor: cap.color + '40' }}
-      title={`能力分类：${cap.label}`}
+      title={`业务场景：${cap.label}`}
     >
       {cap.label}
     </span>
@@ -751,7 +774,7 @@ const CreateToolModal: React.FC<CreateToolModalProps> = ({ appType, onClose, onS
                       <label className="form-label">能力分类 <span className="cap-hint">（AI验证后自动识别，可修改）</span></label>
                       <select className="form-input" value={capability} onChange={e => setCapability(e.target.value)}>
                         <option value="">未指定（由AI自动归类）</option>
-                        {CAPABILITIES.map(c => (
+                        {SCENES.map(c => (
                           <option key={c.id} value={c.id}>{c.label}</option>
                         ))}
                       </select>
@@ -1134,7 +1157,7 @@ const HubImportModal: React.FC<HubImportModalProps> = ({ appType, platforms, onC
             <label className="form-label">能力分类 <span className="cap-hint">（AI验证后自动识别，可修改）</span></label>
             <select className="form-input" value={capability} onChange={e => setCap(e.target.value)}>
               <option value="">未指定（由AI自动归类）</option>
-              {CAPABILITIES.map(c => (
+              {SCENES.map(c => (
                 <option key={c.id} value={c.id}>{c.label}</option>
               ))}
             </select>
@@ -1460,7 +1483,7 @@ const AgentConnectModal: React.FC<AgentConnectModalProps> = ({ onClose, onConnec
             <label className="form-label">能力分类 <span className="cap-hint">（可选，未指定由AI自动归类）</span></label>
             <select className="form-input" value={capability} onChange={e => setCapability(e.target.value)}>
               <option value="">未指定（由AI自动归类）</option>
-              {CAPABILITIES.map(c => (
+              {SCENES.map(c => (
                 <option key={c.id} value={c.id}>{c.label}</option>
               ))}
             </select>
@@ -1799,19 +1822,24 @@ const MarketPage: React.FC = () => {
           </div>
         )}
 
-        {/* 能力分类筛选 */}
+        {/* 业务场景筛选（按人群分组） */}
         <div className="capability-filter">
           <button
             className={`cap-chip ${!capabilityFilter ? 'active' : ''}`}
             onClick={() => setCapabilityFilter(null)}
-          >全部能力</button>
+          >全部场景</button>
-          {CAPABILITIES.map(c => (
+          {SCENE_GROUPS.map(g => (
-            <button
+            <React.Fragment key={g.id}>
-              key={c.id}
+              <span className="cap-group-label">{g.label}</span>
-              className={`cap-chip ${capabilityFilter === c.id ? 'active' : ''}`}
+              {SCENE_BY_GROUP[g.id].map(c => (
-              style={capabilityFilter === c.id ? { color: '#fff', background: c.color, borderColor: c.color } : { color: c.color, borderColor: c.color + '55' }}
+                <button
-              onClick={() => setCapabilityFilter(capabilityFilter === c.id ? null : c.id)}
+                  key={c.id}
-            >{c.label}</button>
+                  className={`cap-chip ${capabilityFilter === c.id ? 'active' : ''}`}
+                  style={capabilityFilter === c.id ? { color: '#fff', background: c.color, borderColor: c.color } : { color: c.color, borderColor: c.color + '55' }}
+                  onClick={() => setCapabilityFilter(capabilityFilter === c.id ? null : c.id)}
+                >{c.label}</button>
+              ))}
+            </React.Fragment>
           ))}
         </div>
 

migrations/018_normalize_marketapp_scene.sql

@@ -0,0 +1,14 @@
+-- 018: 将 market_apps.capability 从旧的「AI 技术能力」取值规范为「业务场景」取值
+-- 旧的 text/thinking/vision/tool/image/audio/asr/ocr/embedding/rerank/video 已不再使用，
+-- 统一置空，后续由 AI 验证 / 导入阶段按业务场景重新归类。
+-- 幂等：执行一次后不再有匹配行，可安全每次重启重跑。
+UPDATE market_apps
+SET capability = NULL
+WHERE capability IS NOT NULL
+  AND capability NOT IN (
+    'freelance_content', 'freelance_client', 'freelance_finance',
+    'office_doc', 'office_data', 'office_email', 'office_pm',
+    'edu_prepare', 'edu_grade', 'edu_tutor', 'edu_home',
+    'biz_product', 'biz_service', 'biz_ops',
+    'general_write', 'general_research', 'general_agent'
+  );