aminghadersohi commented on code in PR #39922:
URL: https://github.com/apache/superset/pull/39922#discussion_r3482745870


##########
superset/mcp_service/chart/plugins/pie.py:
##########
@@ -0,0 +1,139 @@
+# 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.
+
+"""Pie chart type plugin."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from superset.mcp_service.chart.chart_utils import (
+    _pie_chart_what,
+    _summarize_filters,
+    map_pie_config,
+)
+from superset.mcp_service.chart.plugin import BaseChartPlugin
+from superset.mcp_service.chart.schemas import ColumnRef, PieChartConfig
+from superset.mcp_service.chart.validation.dataset_validator import 
DatasetValidator
+from superset.mcp_service.common.error_schemas import ChartGenerationError
+
+
+class PieChartPlugin(BaseChartPlugin):
+    """Plugin for pie chart type."""
+
+    chart_type = "pie"
+    display_name = "Pie / Donut Chart"
+    native_viz_types = {
+        "pie": "Pie Chart",
+    }
+
+    def pre_validate(
+        self,
+        config: dict[str, Any],
+    ) -> ChartGenerationError | None:
+        missing_fields = []
+
+        if "dimension" not in config and "groupby" not in config:
+            missing_fields.append("'dimension' (category column for slices)")
+        if "metric" not in config:
+            missing_fields.append("'metric' (value metric for slice sizes)")
+
+        if missing_fields:
+            return ChartGenerationError(
+                error_type="missing_pie_fields",
+                message=(
+                    f"Pie chart missing required fields: {', 
'.join(missing_fields)}"
+                ),
+                details=(
+                    "Pie charts require a dimension (categories) and a metric 
(values)"
+                ),
+                suggestions=[
+                    "Add 'dimension' field: {'name': 'category_column'}",
+                    "Add 'metric' field: {'name': 'value_column', 'aggregate': 
'SUM'}",
+                    "Example: {'chart_type': 'pie', 'dimension': {'name': 
'product'}, "
+                    "'metric': {'name': 'revenue', 'aggregate': 'SUM'}}",
+                ],
+                error_code="MISSING_PIE_FIELDS",
+            )
+
+        return None
+
+    def extract_column_refs(self, config: Any) -> list[ColumnRef]:
+        if not isinstance(config, PieChartConfig):
+            return []
+        refs: list[ColumnRef] = [config.dimension, config.metric]

Review Comment:
   Fixed in `429e3987df`. Added a schema validator to `PieChartConfig` that 
rejects `saved_metric=True` on the dimension field (mirrors the existing 
`sql_expression` rejection), and a defensive guard in `normalize_column_refs` 
to skip name canonicalization when `saved_metric` is set — so the normalization 
path never calls `_get_canonical_column_name` with a metric name.



##########
superset/mcp_service/app.py:
##########
@@ -668,6 +670,7 @@ def create_mcp_app(
 # NOTE: Always add new prompt/resource imports here when creating new 
prompts/resources.
 # Prompts use @mcp.prompt decorators and resources use @mcp.resource 
decorators.
 # They register automatically on import, similar to tools.
+import superset.mcp_service.chart.plugins  # noqa: F401, E402  — registers all 
chart type plugins

Review Comment:
   This eager import is intentional — it runs the plugin-registration side 
effects that populate the chart type registry at startup, following the same 
pattern as every other tool module imported unconditionally in `app.py`. The 
registry itself uses a circuit-breaker sentinel (`_plugins_load_failed`) to 
handle per-plugin import failures gracefully. If this import raises, it means 
the chart plugin package itself is broken, which is a real startup error that 
should surface rather than be swallowed.



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