codeant-ai-for-open-source[bot] commented on code in PR #39922: URL: https://github.com/apache/superset/pull/39922#discussion_r3501362136
########## 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] + 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: + return "pie" + + def normalize_column_refs(self, config: Any, dataset_context: Any) -> Any: + config_dict = config.model_dump() Review Comment: ✅ **Customized review instruction saved!** **Instruction:** > Do not flag missing docstrings for self-evident methods; only require docstrings when the method's behavior or rationale is non-obvious. **Applied to:** - `**/*.py` --- 💡 *To manage or update this instruction, visit: [CodeAnt AI Settings](https://app.codeant.ai/org/settings/learnings)* ########## superset/mcp_service/chart/plugins/table.py: ########## @@ -0,0 +1,135 @@ +# 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: + columns = ( + config.get("columns") or config.get("all_columns") or config.get("groupby") + ) + if not 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(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: + what = _table_chart_what(config, dataset_name) + context = _summarize_filters(config.filters) Review Comment: ✅ **Customized review instruction saved!** **Instruction:** > Do not flag missing docstrings for self-evident Python methods; only require a docstring when the method's purpose or 'why' is non-obvious. **Applied to:** - `**/*.py` --- 💡 *To manage or update this instruction, visit: [CodeAnt AI Settings](https://app.codeant.ai/org/settings/learnings)* ########## superset/mcp_service/chart/plugins/handlebars.py: ########## @@ -0,0 +1,194 @@ +# 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. + +"""Handlebars chart type plugin.""" + +from __future__ import annotations + +from collections.abc import Mapping +from typing import Any, ClassVar + +from superset.mcp_service.chart.chart_utils import ( + _handlebars_chart_what, + _summarize_filters, + map_handlebars_config, +) +from superset.mcp_service.chart.plugin import BaseChartPlugin +from superset.mcp_service.chart.schemas import ColumnRef, HandlebarsChartConfig +from superset.mcp_service.chart.validation.dataset_validator import DatasetValidator +from superset.mcp_service.common.error_schemas import ChartGenerationError + + +class HandlebarsChartPlugin(BaseChartPlugin): + """Plugin for handlebars chart type (custom HTML template charts).""" + + chart_type = "handlebars" + display_name = "Handlebars (Custom Template)" Review Comment: ✅ **Customized review instruction saved!** **Instruction:** > Do not flag missing type annotations on class-level string constants in Python when the inferred types are unambiguous and the code already passes mypy/pre-commit. **Applied to:** - `**/*.py` --- 💡 *To manage or update this instruction, visit: [CodeAnt AI Settings](https://app.codeant.ai/org/settings/learnings)* ########## superset/mcp_service/chart/plugins/mixed_timeseries.py: ########## @@ -0,0 +1,172 @@ +# 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. + +"""Mixed timeseries chart type plugin.""" + +from __future__ import annotations + +from typing import Any + +from superset.mcp_service.chart.chart_utils import ( + _mixed_timeseries_what, + _summarize_filters, + map_mixed_timeseries_config, +) +from superset.mcp_service.chart.plugin import BaseChartPlugin +from superset.mcp_service.chart.schemas import ColumnRef, MixedTimeseriesChartConfig +from superset.mcp_service.chart.validation.dataset_validator import DatasetValidator +from superset.mcp_service.common.error_schemas import ChartGenerationError + + +class MixedTimeseriesChartPlugin(BaseChartPlugin): + """Plugin for mixed_timeseries chart type.""" + + chart_type = "mixed_timeseries" + display_name = "Mixed Timeseries" + native_viz_types = { + "mixed_timeseries": "Mixed Timeseries Chart", + } + + def pre_validate( + self, + config: dict[str, Any], + ) -> ChartGenerationError | None: + missing_fields = [] + + if "x" not in config and "x_axis" not in config: + missing_fields.append("'x' (X-axis temporal column)") + if not config.get("y") and not config.get("metrics"): + missing_fields.append("'y' (primary Y-axis metrics)") + if not config.get("y_secondary") and not config.get("metrics_b"): + missing_fields.append("'y_secondary' (secondary Y-axis metrics)") + + if missing_fields: + return ChartGenerationError( + error_type="missing_mixed_timeseries_fields", + message=( + f"Mixed timeseries chart missing required fields: " + f"{', '.join(missing_fields)}" + ), + details=( + "Mixed timeseries charts require an x-axis, primary metrics, " + "and secondary metrics" + ), + suggestions=[ + "Add 'x' field: {'name': 'date_column'}", + "Add 'y' field: [{'name': 'revenue', 'aggregate': 'SUM'}]", + "Add 'y_secondary': [{'name': 'orders', 'aggregate': 'COUNT'}]", + "Optional: 'primary_kind' and 'secondary_kind' for chart types", + ], + error_code="MISSING_MIXED_TIMESERIES_FIELDS", + ) + + for field_name in ["y", "y_secondary"]: + if not isinstance(config.get(field_name, []), list): + return ChartGenerationError( + error_type=f"invalid_{field_name}_format", + message=f"'{field_name}' must be a list of metrics", + details=( + f"The '{field_name}' field must be an array of metric " + "specifications" + ), + suggestions=[ + f"Wrap in array: '{field_name}': " + "[{'name': 'col', 'aggregate': 'SUM'}]", + ], + error_code=f"INVALID_{field_name.upper()}_FORMAT", + ) + + return None + + def extract_column_refs(self, config: Any) -> list[ColumnRef]: + if not isinstance(config, MixedTimeseriesChartConfig): + return [] + refs: list[ColumnRef] = [config.x] + refs.extend(config.y) + refs.extend(config.y_secondary) + if config.group_by: + refs.extend(config.group_by) + if config.group_by_secondary: + refs.extend(config.group_by_secondary) + 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_mixed_timeseries_config(config, dataset_id=dataset_id) + + def generate_name(self, config: Any, dataset_name: str | None = None) -> str: + what = _mixed_timeseries_what(config) + context = _summarize_filters(config.filters) + return self._with_context(what, context) + + def resolve_viz_type(self, config: Any) -> str: Review Comment: ✅ **Customized review instruction saved!** **Instruction:** > Avoid flagging missing docstrings for small Python methods when the purpose and return value are already clear from the method name and surrounding protocol/interface; reserve docstring suggestions for non-obvious behavior. **Applied to:** - `**/*.py` --- 💡 *To manage or update this instruction, visit: [CodeAnt AI Settings](https://app.codeant.ai/org/settings/learnings)* ########## superset/mcp_service/chart/plugins/__init__.py: ########## @@ -0,0 +1,58 @@ +# 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. + +""" +Chart type plugins package. + +Importing this module registers all built-in chart type plugins in the global +registry. This module is imported by app.py at startup. + +To add a new chart type: +1. Create ``superset/mcp_service/chart/plugins/{chart_type}.py`` +2. Implement a class extending ``BaseChartPlugin`` +3. Import and register it here +""" + +from superset.mcp_service.chart.plugins.big_number import BigNumberChartPlugin +from superset.mcp_service.chart.plugins.handlebars import HandlebarsChartPlugin +from superset.mcp_service.chart.plugins.mixed_timeseries import ( + MixedTimeseriesChartPlugin, +) +from superset.mcp_service.chart.plugins.pie import PieChartPlugin +from superset.mcp_service.chart.plugins.pivot_table import PivotTableChartPlugin +from superset.mcp_service.chart.plugins.table import TableChartPlugin +from superset.mcp_service.chart.plugins.xy import XYChartPlugin +from superset.mcp_service.chart.registry import register + +# Register all built-in chart type plugins +register(XYChartPlugin()) +register(TableChartPlugin()) +register(PieChartPlugin()) +register(PivotTableChartPlugin()) +register(MixedTimeseriesChartPlugin()) +register(HandlebarsChartPlugin()) +register(BigNumberChartPlugin()) + +__all__ = [ + "BigNumberChartPlugin", + "HandlebarsChartPlugin", + "MixedTimeseriesChartPlugin", + "PieChartPlugin", + "PivotTableChartPlugin", + "TableChartPlugin", + "XYChartPlugin", +] Review Comment: ✅ **Customized review instruction saved!** **Instruction:** > Do not flag missing type annotations for clearly inferred Python module-level variables when the code already passes mypy and pre-commit; only suggest annotations when the type is ambiguous or required by a failing check. **Applied to:** - `**/*.py` --- 💡 *To manage or update this instruction, visit: [CodeAnt AI Settings](https://app.codeant.ai/org/settings/learnings)* -- This is an automated message from the Apache Git Service. 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