aminghadersohi commented on code in PR #43480:
URL: https://github.com/apache/superset/pull/43480#discussion_r3875555193


##########
superset/mcp_service/chart/plugins/interactive_pivot.py:
##########
@@ -0,0 +1,226 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+"""AG Grid interactive pivot chart plugin."""
+
+from __future__ import annotations
+
+from collections.abc import Mapping
+from typing import Any, ClassVar
+
+from superset.extensions import feature_flag_manager
+from superset.mcp_service.chart.chart_utils import (
+    _add_adhoc_filters,
+    _summarize_filters,
+    add_currency_format,
+    create_metric_object,
+)
+from superset.mcp_service.chart.plugin import BaseChartPlugin
+from superset.mcp_service.chart.schemas import ColumnRef, 
InteractivePivotChartConfig
+from superset.mcp_service.chart.validation.dataset_validator import 
DatasetValidator
+from superset.mcp_service.common.error_schemas import ChartGenerationError
+
+INTERACTIVE_PIVOT_FEATURE_FLAG = "AG_GRID_PIVOT_TABLE_ENABLED"
+_AG_GRID_AGGREGATION = {
+    "AVG": "avg",
+    "MIN": "min",
+    "MAX": "max",
+}
+
+
+def _metric_label(metric: dict[str, Any] | str) -> str:
+    """Return the label AG Grid uses as a metric column identifier."""
+    return metric if isinstance(metric, str) else str(metric["label"])
+
+
+def _grid_aggregation(metric: ColumnRef) -> str:
+    """Map a Superset metric aggregate to AG Grid's group rollup function."""
+    return _AG_GRID_AGGREGATION.get((metric.aggregate or "SUM").upper(), "sum")
+
+
+def map_interactive_pivot_config(
+    config: InteractivePivotChartConfig,
+) -> dict[str, Any]:
+    """Map the MCP config to ``ag-grid-pivot-table`` form data."""
+    metrics = [create_metric_object(metric) for metric in config.metrics]
+    rows = [column.name for column in config.rows]
+    columns = [column.name for column in config.columns]
+
+    form_data: dict[str, Any] = {
+        "viz_type": "ag-grid-pivot-table",
+        # The control panel stores every dimension in groupby. AG Grid's
+        # persisted state assigns each one to the Rows or Column Labels bucket.
+        "groupby": [*rows, *columns],
+        "metrics": metrics,
+        "row_limit": config.row_limit,
+        "order_desc": config.sort_descending,
+        "rowGroupCounts": config.show_row_group_counts,
+        "rowTotals": config.show_row_totals,
+        "colTotals": config.show_column_totals,
+        "colSubTotals": config.show_column_subtotals,
+        "valueFormat": config.value_format,
+        "allow_render_html": config.allow_render_html,
+        "expand_pivot_groups": config.expand_pivot_groups,
+        "pivot_table_state": {
+            "rowGroup": {"groupColIds": rows},
+            "pivot": {"pivotMode": True, "pivotColIds": columns},
+            "aggregation": {
+                "aggregationModel": [
+                    {
+                        "colId": _metric_label(mapped_metric),
+                        "aggFunc": _grid_aggregation(metric),
+                    }
+                    for metric, mapped_metric in zip(
+                        config.metrics, metrics, strict=True
+                    )
+                ]
+            },
+        },
+    }
+
+    if config.temporal_column:
+        form_data["granularity_sqla"] = config.temporal_column
+        form_data["temporal_columns_lookup"] = {config.temporal_column: True}

Review Comment:
   Fixed in 9a7c7d11e6. The Interactive Pivot plugin now canonicalizes 
`temporal_column` with the same dataset helper used for its row/column refs 
before form-data mapping. Added a regression test covering mixed-case input and 
asserting canonical `groupby`, `granularity_sqla`, and 
`temporal_columns_lookup` values.



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