feat: 知识库递归导入（从指定父节点，不需要空间权限）

- feishu_service.py: import_space_nodes 改为 import_nodes_from_parent
  从指定父节点递归获取子节点，不需要空间级别权限
- admin_knowledge.py: import API 增加 parent_node_token 参数
- api.ts/App.vue: 前端增加父节点 NodeToken 输入框

ai_knowledge_base_v2/apps/backend/app/api/admin_knowledge.py

@@ -11,6 +11,7 @@ from app.models.admin import Admin
 from app.models.knowledge import Knowledge, UserKnowledgePermission
 from app.schemas.admin import KnowledgeSaveRequest
 from app.services.admin_service import OperationLogService
+from app.services.feishu_service import FeishuKnowledgeService
 
 router = APIRouter()
 
@@ -21,6 +22,55 @@ def list_knowledge(db: Session = Depends(get_db), current_admin: Admin = Depends
     return api_success([_knowledge_dict(item) for item in items])
 
 
+@router.post("/knowledge/import")
+def import_knowledge_from_space(
+    payload: dict,
+    db: Session = Depends(get_db),
+    current_admin: Admin = Depends(get_current_admin),
+) -> dict:
+    space_id = payload.get("spaceId", "").strip()
+    parent_node_token = payload.get("parent_node_token", "").strip()
+    if not space_id or not parent_node_token:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="SpaceID 和父节点 Token 不能为空")
+
+    nodes = FeishuKnowledgeService.import_nodes_from_parent(space_id, parent_node_token, db)
+    if not nodes:
+        return api_success({"imported": 0, "skipped": 0, "nodes": []})
+
+    # 获取已存在的 node_id，避免重复导入
+    existing_nodes = {
+        row.feishu_node_id for row in db.scalars(select(Knowledge)).all() if row.feishu_node_id
+    }
+
+    imported = 0
+    skipped = 0
+    results = []
+    for node in nodes:
+        node_token = node["node_token"]
+        if node_token in existing_nodes:
+            skipped += 1
+            results.append({"name": node["name"], "nodeToken": node_token, "status": "skipped"})
+            continue
+
+        knowledge = Knowledge(
+            name=node["name"],
+            feishu_space_id=space_id,
+            feishu_node_id=node_token,
+            status=1,
+            remark=f"obj_type={node.get('obj_type', '')}",
+        )
+        db.add(knowledge)
+        db.flush()
+        imported += 1
+        results.append({"name": node["name"], "nodeToken": node_token, "status": "imported", "id": knowledge.id})
+        OperationLogService.write(
+            db, admin_id=current_admin.id, module="knowledge", action="import", target_id=knowledge.id
+        )
+
+    db.commit()
+    return api_success({"imported": imported, "skipped": skipped, "nodes": results})
+
+
 @router.post("/knowledge")
 def create_knowledge(
     payload: KnowledgeSaveRequest,

ai_knowledge_base_v2/apps/backend/app/services/feishu_service.py

@@ -330,6 +330,49 @@ class FeishuKnowledgeService:
         cls._content_cache.clear()
         return count
 
+    @classmethod
+    def import_nodes_from_parent(
+        cls,
+        space_id: str,
+        parent_node_token: str,
+        db: Session | None = None,
+    ) -> list[dict]:
+        """从指定节点递归获取所有子节点，用于批量导入知识库。
+        不需要空间级别权限，只需要对 parent_node_token 所在节点有查看权限。
+        """
+        config = _feishu_retrieval_config(db)
+        if not config.app_id or not config.app_secret:
+            raise ExternalServiceError(
+                "未配置飞书应用凭证，无法读取飞书知识库。",
+                provider="feishu",
+            )
+
+        all_nodes: list[dict] = []
+        visited: set[str] = set()
+
+        def _fetch_children(parent_token: str) -> None:
+            try:
+                children = _get_wiki_children(space_id, parent_token, config)
+            except ExternalServiceError:
+                return
+            for child in children:
+                node_token = child.get("node_token", "")
+                if not node_token or node_token in visited:
+                    continue
+                visited.add(node_token)
+                all_nodes.append({
+                    "name": child.get("title", node_token),
+                    "node_token": node_token,
+                    "space_id": space_id,
+                    "obj_type": child.get("obj_type", ""),
+                    "parent_token": parent_token,
+                })
+                if child.get("has_child", False):
+                    _fetch_children(node_token)
+
+        _fetch_children(parent_node_token)
+        return all_nodes
+
     @classmethod
     def retrieve(
         cls,