feat: 递归导入只需输入NodeToken，自动获取SpaceID

- feishu_service.py: import_nodes_from_parent 去掉 space_id 参数，
  通过 get_node_info 自动获取 space_id
- admin_knowledge.py: import API 去掉 spaceId 参数
- App.vue: 前端去掉 SpaceID 输入框，只需输入 NodeToken

ai_knowledge_base_v2/apps/admin-web/src/App.vue

@@ -37,7 +37,6 @@ const chatDetailOpen = ref(false);
 const recordTab = ref("chats");
 const editingModelId = ref<number | null>(null);
 const editingKnowledgeId = ref<number | null>(null);
-const batchSpaceId = ref("");
 const batchParentToken = ref("");
 const batchImporting = ref(false);
 const agentDebugging = ref(false);
@@ -593,17 +592,15 @@ function resetKnowledgeForm() {
 }
 
 async function batchImportKnowledge() {
-  const spaceId = batchSpaceId.value.trim();
   const parentToken = batchParentToken.value.trim();
-  if (!spaceId || !parentToken) {
+  if (!parentToken) {
-    ElMessage.warning("请输入 SpaceID 和父节点 NodeToken");
+    ElMessage.warning("请输入父节点 NodeToken");
     return;
   }
   batchImporting.value = true;
   try {
-    const result = await api.importKnowledgeFromSpace(JSON.stringify({ spaceId, parent_node_token: parentToken }));
+    const result = await api.importKnowledgeFromSpace({ parent_node_token: parentToken });
     ElMessage.success(`导入完成：新增 ${result.imported} 个，跳过 ${result.skipped} 个`);
-    batchSpaceId.value = "";
     batchParentToken.value = "";
     await loadCurrentMenu();
   } catch (e: any) {
@@ -1128,9 +1125,8 @@ function buildChatQuery() {
 
           <el-divider />
           <div class="batch-import-row">
-            <el-input v-model="batchSpaceId" placeholder="SpaceID" style="width: 220px" />
+            <el-input v-model="batchParentToken" placeholder="输入父节点 NodeToken（如 wikcnXXX），递归导入所有子节点" style="max-width: 400px" />
-            <el-input v-model="batchParentToken" placeholder="父节点 NodeToken（如 wikcnXXX）" style="width: 260px" />
+            <el-button type="primary" @click="batchImportKnowledge" :loading="batchImporting">递归导入</el-button>
-            <el-button type="primary" @click="batchImportKnowledge" :loading="batchImporting">递归导入子节点</el-button>
           </div>
           <el-table :data="knowledge" stripe>
             <el-table-column prop="id" label="ID" width="80" />

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

@@ -28,12 +28,11 @@ def import_knowledge_from_space(
     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:
+    if not parent_node_token:
-        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="SpaceID 和父节点 Token 不能为空")
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="父节点 NodeToken 不能为空")
 
-    nodes = FeishuKnowledgeService.import_nodes_from_parent(space_id, parent_node_token, db)
+    nodes = FeishuKnowledgeService.import_nodes_from_parent(parent_node_token, db)
     if not nodes:
         return api_success({"imported": 0, "skipped": 0, "nodes": []})
 

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

@@ -333,12 +333,12 @@ class FeishuKnowledgeService:
     @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。
+        自动通过 node_info 获取 space_id，调用方无需手动传入。
         """
         config = _feishu_retrieval_config(db)
         if not config.app_id or not config.app_secret:
@@ -347,6 +347,15 @@ class FeishuKnowledgeService:
                 provider="feishu",
             )
 
+        # 先通过 node_token 获取 space_id
+        node_info = _get_wiki_node_info(parent_node_token, config)
+        space_id = node_info.get("space_id", "")
+        if not space_id:
+            raise ExternalServiceError(
+                f"无法获取节点 {parent_node_token} 所属的 SpaceID",
+                provider="feishu",
+            )
+
         all_nodes: list[dict] = []
         visited: set[str] = set()