codeant-ai-for-open-source[bot] commented on code in PR #45535:
URL: https://github.com/apache/superset/pull/45535#discussion_r4329395666


##########
superset/mcp_service/dashboard/tool/generate_dashboard.py:
##########
@@ -262,13 +262,19 @@ def generate_dashboard(  # noqa: C901
                     ),
                 )
 
-            # Validate dataset access for each chart.
+            # Validate dataset access as well as chart visibility.
             # check_chart_data_access is the centralized data-level
             # permission check that complements the class-level RBAC
             # enforced by mcp_auth_hook.
             from superset.mcp_service.auth import check_chart_data_access
 
             for chart in chart_objects:
+                if not security_manager.can_access_chart(chart):

Review Comment:
   **Suggestion:** For non-admin users, `can_access_chart` lazily loads each 
chart’s editors and viewers, adding up to two database queries per chart when 
generating a dashboard.
   
   **Assessment:** 🟠 `Major` · 🔁 `Occurrence: Often` · 🏷️ `Performance`
   
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   <details>
   <summary><b>Prompt for AI Agent 🤖 </b></summary>
   
   ```mdx
   This is a comment left during a code review.
   
   **Path:** superset/mcp_service/dashboard/tool/generate_dashboard.py
   **Line:** 272:272
   **Comment:**
        *Performance: For non-admin users, `can_access_chart` lazily loads each 
chart’s editors and viewers, adding up to two database queries per chart when 
generating a dashboard.
   
   Validate the correctness of the flagged issue. If correct, How can I resolve 
this? If you propose a fix, implement it and please make it concise.
   Once fix is implemented, also check other comments on the same PR, and ask 
user if the user wants to fix the rest of the comments as well. if said yes, 
then fetch all the comments validate the correctness and implement a minimal fix
   ```
   </details>
   <a 
href='https://app.codeant.ai/feedback?pr_url=https%3A%2F%2Fgithub.com%2Fapache%2Fsuperset%2Fpull%2F45535&comment_hash=468e9a61b6fc712f6334395efb2484d1b15db2364fb8ee407cf1013e676287d0&reaction=like'>👍</a>
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