codeant-ai-for-open-source[bot] commented on code in PR #44744:
URL: https://github.com/apache/superset/pull/44744#discussion_r4119354957


##########
superset/mcp_service/chart/chart_helpers.py:
##########
@@ -767,14 +767,55 @@ def _build_single_query_dict(
     return qd
 
 
-def _build_gantt_or_big_number_query_dicts(
+def _build_specialized_query_dicts(
     form_data: dict[str, Any],
     viz_type: str,
     metrics: list[Any],
     row_limit: int | None,
     order_desc: bool | None,
 ) -> list[dict[str, Any]] | None:
-    """Build query dictionaries for the two specialized MCP chart contracts."""
+    """Build query dictionaries matching specialized frontend chart 
contracts."""
+    if viz_type == "histogram_v2":
+        column = form_data["column"]
+        groupby = form_data.get("groupby") or []
+        histogram_metrics = (
+            [
+                {
+                    "expressionType": "SQL",
+                    "sqlExpression": "COUNT(*)",
+                    "label": "COUNT(*)",
+                }
+            ]
+            if form_data.get("having")
+            else []
+        )
+        query = _build_single_query_dict(
+            form_data, [*groupby, column], histogram_metrics, 
row_limit=row_limit
+        )
+        query["post_processing"] = [
+            {
+                "operation": "histogram",
+                "options": {
+                    "column": get_column_name(column),
+                    "groupby": [get_column_name(group) for group in groupby],
+                    "bins": int(form_data.get("bins", 5)),
+                    "normalize": form_data.get("normalize", False),
+                    "cumulative": form_data.get("cumulative", False),
+                },
+            }
+        ]
+        return [query]
+
+    if viz_type == "waterfall":
+        axis = form_data.get("x_axis") or form_data.get("granularity_sqla")

Review Comment:
   **Suggestion:** Temporal waterfall form data includes `granularity_sqla`, 
but this branch only selects `x_axis` and never emits query granularity, so 
time-grain charts aggregate raw timestamps instead of periods.
   
   **Assessment:** ๐ŸŸ  `Major` ยท ๐Ÿ” `Occurrence: Sometimes` ยท ๐Ÿท๏ธ `Api mismatch`
   
   [![Use CodeAnt 
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Cursor](https://new-codeant-butcket.s3.us-west-1.amazonaws.com/badges/fix-in-cursor-flat.svg)](https://app.codeant.ai/fix-in-ide?tool=cursor&prompt_id=7c877aac9f5543a990cd7af8599aa548&service=github&base_url=https%3A%2F%2Fgithub.com&org=apache&repo=apache%2Fsuperset)
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   <details>
   <summary><b>Prompt for AI Agent ๐Ÿค– </b></summary>
   
   ```mdx
   This is a comment left during a code review.
   
   **Path:** superset/mcp_service/chart/chart_helpers.py
   **Line:** 810:810
   **Comment:**
        *Api Mismatch: Temporal waterfall form data includes 
`granularity_sqla`, but this branch only selects `x_axis` and never emits query 
granularity, so time-grain charts aggregate raw timestamps instead of periods.
   
   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%2F44744&comment_hash=3f0d2f5bc4c92fbb7af330a5da68f1dc0662623fcb25f4cddecfc8eae2b1d40c&reaction=like'>๐Ÿ‘</a>
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href='https://app.codeant.ai/feedback?pr_url=https%3A%2F%2Fgithub.com%2Fapache%2Fsuperset%2Fpull%2F44744&comment_hash=3f0d2f5bc4c92fbb7af330a5da68f1dc0662623fcb25f4cddecfc8eae2b1d40c&reaction=dislike'>๐Ÿ‘Ž</a>



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