codeant-ai-for-open-source[bot] commented on code in PR #39922:
URL: https://github.com/apache/superset/pull/39922#discussion_r3398598507


##########
superset/mcp_service/chart/plugins/table.py:
##########
@@ -0,0 +1,132 @@
+# 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.
+
+"""Table chart type plugin."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from superset.mcp_service.chart.chart_utils import (
+    _summarize_filters,
+    _table_chart_what,
+    map_table_config,
+)
+from superset.mcp_service.chart.plugin import BaseChartPlugin
+from superset.mcp_service.chart.schemas import ColumnRef, TableChartConfig
+from superset.mcp_service.chart.validation.dataset_validator import 
DatasetValidator
+from superset.mcp_service.common.error_schemas import ChartGenerationError
+
+
+class TableChartPlugin(BaseChartPlugin):
+    """Plugin for table chart type."""
+
+    chart_type = "table"
+    display_name = "Table"
+    native_viz_types = {
+        "table": "Table",
+        "ag-grid-table": "Interactive Table",
+    }
+
+    def pre_validate(
+        self,
+        config: dict[str, Any],
+    ) -> ChartGenerationError | None:
+        if not config.get("columns"):
+            return ChartGenerationError(
+                error_type="missing_columns",
+                message="Table chart missing required field: columns",
+                details=(
+                    "Table charts require a 'columns' array to specify which "
+                    "columns to display"
+                ),
+                suggestions=[
+                    "Add 'columns' field with array of column specifications",
+                    "Example: 'columns': [{'name': 'product'}, {'name': 
'sales', "
+                    "'aggregate': 'SUM'}]",
+                    "Each column can have optional 'aggregate' for metrics",
+                ],
+                error_code="MISSING_COLUMNS",
+            )
+
+        if not isinstance(config.get("columns", []), list):
+            return ChartGenerationError(
+                error_type="invalid_columns_format",
+                message="Columns must be a list",
+                details="The 'columns' field must be an array of column 
specifications",
+                suggestions=[
+                    "Ensure columns is an array: 'columns': [...]",
+                    "Each column should be an object with 'name' field",
+                ],
+                error_code="INVALID_COLUMNS_FORMAT",
+            )
+
+        return None
+
+    def extract_column_refs(self, config: Any) -> list[ColumnRef]:
+        if not isinstance(config, TableChartConfig):
+            return []
+        refs: list[ColumnRef] = list(config.columns)
+        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_table_config(config)
+
+    def generate_name(self, config: Any, dataset_name: str | None = None) -> 
str:

Review Comment:
   **Suggestion:** Add a docstring to describe how the chart name is 
constructed from config and optional dataset context. [custom_rule]
   
   **Severity Level:** Minor ⚠️
   <details>
   <summary><b>Why it matters? 🤔 </b></summary>
   
   This is another newly added Python method and it does not have a docstring. 
The suggestion correctly identifies a violation of the docstring requirement.
   </details>
   
   [Fix in 
Cursor](https://app.codeant.ai/fix-in-ide?tool=cursor&prompt_id=9551c3ef6f51408291ce46cc827a3407&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=9551c3ef6f51408291ce46cc827a3407&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/table.py
   **Line:** 94:94
   **Comment:**
        *Custom Rule: Add a docstring to describe how the chart name is 
constructed from config and optional dataset context.
   
   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=f20d27089d276c3345397df65c4abca5fc4078f5d5df1d8c7781865da65781a8&reaction=like'>👍</a>
 | <a 
href='https://app.codeant.ai/feedback?pr_url=https%3A%2F%2Fgithub.com%2Fapache%2Fsuperset%2Fpull%2F39922&comment_hash=f20d27089d276c3345397df65c4abca5fc4078f5d5df1d8c7781865da65781a8&reaction=dislike'>👎</a>



##########
superset/mcp_service/chart/plugins/big_number.py:
##########
@@ -0,0 +1,247 @@
+# 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.
+
+"""Big number chart type plugin."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from superset.mcp_service.chart.chart_utils import (
+    _big_number_chart_what,
+    _summarize_filters,
+    is_column_truly_temporal,
+    map_big_number_config,
+)
+from superset.mcp_service.chart.plugin import BaseChartPlugin
+from superset.mcp_service.chart.schemas import BigNumberChartConfig, ColumnRef
+from superset.mcp_service.chart.validation.dataset_validator import 
DatasetValidator
+from superset.mcp_service.common.error_schemas import ChartGenerationError
+
+
+class BigNumberChartPlugin(BaseChartPlugin):
+    """Plugin for big_number chart type."""
+
+    chart_type = "big_number"
+    display_name = "Big Number"
+    native_viz_types = {
+        "big_number": "Big Number with Trendline",
+        "big_number_total": "Big Number",
+    }
+
+    def pre_validate(
+        self,
+        config: dict[str, Any],
+    ) -> ChartGenerationError | None:
+        if "metric" not in config:
+            return ChartGenerationError(
+                error_type="missing_metric",
+                message="Big Number chart missing required field: metric",
+                details=(
+                    "Big Number charts require a 'metric' field "
+                    "specifying the value to display"
+                ),
+                suggestions=[
+                    "Add 'metric' with name and aggregate: "
+                    "{'name': 'revenue', 'aggregate': 'SUM'}",
+                    "The aggregate function is required (SUM, COUNT, AVG, MIN, 
MAX)",
+                    "Example: {'chart_type': 'big_number', "
+                    "'metric': {'name': 'sales', 'aggregate': 'SUM'}}",
+                ],
+                error_code="MISSING_BIG_NUMBER_METRIC",
+            )
+
+        metric = config.get("metric", {})
+        if not isinstance(metric, dict):
+            return ChartGenerationError(
+                error_type="invalid_metric_type",
+                message="Big Number metric must be a dict with 'name' and 
'aggregate'",
+                details=(
+                    f"The 'metric' field must be an object, got 
{type(metric).__name__}"
+                ),
+                suggestions=[
+                    "Use a dict: {'name': 'col', 'aggregate': 'SUM'}",
+                    "Valid aggregates: SUM, COUNT, AVG, MIN, MAX",
+                ],
+                error_code="INVALID_BIG_NUMBER_METRIC_TYPE",
+            )
+        if metric.get("sql_expression"):
+            label = metric.get("label")
+            if not isinstance(label, str) or not label.strip():
+                return ChartGenerationError(
+                    error_type="missing_sql_metric_label",
+                    message="SQL expression metrics require a non-empty 
'label'",
+                    details=(
+                        "When using a custom SQL expression as the Big Number 
metric, "
+                        "a human-readable 'label' string is required so 
Superset can "
+                        "display the metric name."
+                    ),
+                    suggestions=[
+                        "Add 'label': e.g. {'sql_expression': 'SUM(a)/SUM(b)', 
"
+                        "'label': 'Conversion Rate'}",
+                        "The label must be a non-empty string",
+                    ],
+                    error_code="MISSING_SQL_METRIC_LABEL",
+                )
+        elif not metric.get("aggregate") and not metric.get("saved_metric"):
+            return ChartGenerationError(
+                error_type="missing_metric_aggregate",
+                message=(
+                    "Big Number metric must include an aggregate function "
+                    "or reference a saved metric"
+                ),
+                details=(
+                    "The metric must have an 'aggregate' field or 
'saved_metric': true"
+                ),
+                suggestions=[
+                    "Add 'aggregate': {'name': 'col', 'aggregate': 'SUM'}",
+                    "Or use a saved metric: {'name': 'metric', 'saved_metric': 
true}",
+                    "Valid aggregates: SUM, COUNT, AVG, MIN, MAX",
+                ],
+                error_code="MISSING_BIG_NUMBER_AGGREGATE",
+            )
+
+        show_trendline = config.get("show_trendline", False)
+        temporal_column = config.get("temporal_column")
+        if show_trendline and not temporal_column:
+            return ChartGenerationError(
+                error_type="missing_temporal_column",
+                message="Trendline requires a temporal column",
+                details=(
+                    "When 'show_trendline' is True, "
+                    "a 'temporal_column' must be specified"
+                ),
+                suggestions=[
+                    "Add 'temporal_column': 'date_column_name'",
+                    "Or set 'show_trendline': false for number only",
+                    "Use get_dataset_info to find temporal columns",
+                ],
+                error_code="MISSING_TEMPORAL_COLUMN",
+            )
+
+        return None
+
+    def extract_column_refs(self, config: Any) -> list[ColumnRef]:

Review Comment:
   **Suggestion:** Add a docstring that explains which column references are 
extracted and what is returned when the config type is not supported. 
[custom_rule]
   
   **Severity Level:** Minor ⚠️
   <details>
   <summary><b>Why it matters? 🤔 </b></summary>
   
   This newly added method has no docstring in the final file state. Since the 
rule requires all new Python 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=eb612e29ad4e4926b215bd70b9dfad79&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=eb612e29ad4e4926b215bd70b9dfad79&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/big_number.py
   **Line:** 138:138
   **Comment:**
        *Custom Rule: Add a docstring that explains which column references are 
extracted and what is returned when the config type is not supported.
   
   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=95c7f738cbec441dbef1db2d9eaa5eeb074fa9b7ba77227486d43322db1904f4&reaction=like'>👍</a>
 | <a 
href='https://app.codeant.ai/feedback?pr_url=https%3A%2F%2Fgithub.com%2Fapache%2Fsuperset%2Fpull%2F39922&comment_hash=95c7f738cbec441dbef1db2d9eaa5eeb074fa9b7ba77227486d43322db1904f4&reaction=dislike'>👎</a>



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