codeant-ai-for-open-source[bot] commented on code in PR #39922:
URL: https://github.com/apache/superset/pull/39922#discussion_r3398598479


##########
superset/mcp_service/chart/plugins/pie.py:
##########
@@ -0,0 +1,137 @@
+# 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:
+            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]
+        if config.filters:
+            for f in config.filters:
+                refs.append(ColumnRef(name=f.column))
+        return refs
+
+    def to_form_data(
+        self, config: Any, dataset_id: int | str | None = None
+    ) -> dict[str, Any]:
+        return map_pie_config(config)
+
+    def generate_name(self, config: Any, dataset_name: str | None = None) -> 
str:
+        what = _pie_chart_what(config)
+        context = _summarize_filters(config.filters)
+        return self._with_context(what, context)
+
+    def resolve_viz_type(self, config: Any) -> str:

Review Comment:
   **Suggestion:** Add a short docstring indicating that this method resolves 
the native visualization type for this plugin. [custom_rule]
   
   **Severity Level:** Minor ⚠️
   <details>
   <summary><b>Why it matters? 🤔 </b></summary>
   
   The method is newly introduced and has no docstring. Because the rule 
explicitly requires new functions and classes to be documented inline, the 
suggestion is verified.
   </details>
   
   [Fix in 
Cursor](https://app.codeant.ai/fix-in-ide?tool=cursor&prompt_id=90801d53a5b847499e59077a337d3c40&service=github&base_url=https%3A%2F%2Fgithub.com&org=apache&repo=apache%2Fsuperset)
 | [Fix in VSCode 
Claude](https://app.codeant.ai/fix-in-ide?tool=vscode-claude&prompt_id=90801d53a5b847499e59077a337d3c40&service=github&base_url=https%3A%2F%2Fgithub.com&org=apache&repo=apache%2Fsuperset)
   
   *(Use Cmd/Ctrl + Click for best experience)*
   <details>
   <summary><b>Prompt for AI Agent 🤖 </b></summary>
   
   ```mdx
   This is a comment left during a code review.
   
   **Path:** superset/mcp_service/chart/plugins/pie.py
   **Line:** 94:94
   **Comment:**
        *Custom Rule: Add a short docstring indicating that this method 
resolves the native visualization type for this plugin.
   
   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%2F39922&comment_hash=8a3579c65e9974235b471358250c7c4af11b5ae26efdbc3a56363117f38f37d1&reaction=like'>👍</a>
 | <a 
href='https://app.codeant.ai/feedback?pr_url=https%3A%2F%2Fgithub.com%2Fapache%2Fsuperset%2Fpull%2F39922&comment_hash=8a3579c65e9974235b471358250c7c4af11b5ae26efdbc3a56363117f38f37d1&reaction=dislike'>👎</a>



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