aminghadersohi commented on code in PR #39922:
URL: https://github.com/apache/superset/pull/39922#discussion_r3305700712


##########
superset/mcp_service/chart/plugins/xy.py:
##########
@@ -0,0 +1,192 @@
+# 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.
+
+"""XY chart type plugin (line, bar, area, scatter)."""
+
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+from superset.mcp_service.chart.chart_utils import (
+    _xy_chart_context,
+    _xy_chart_what,
+    map_xy_config,
+)
+from superset.mcp_service.chart.plugin import BaseChartPlugin
+from superset.mcp_service.chart.schemas import ColumnRef, XYChartConfig
+from superset.mcp_service.chart.validation.dataset_validator import 
DatasetValidator
+from superset.mcp_service.chart.validation.runtime.cardinality_validator 
import (
+    CardinalityValidator,
+)
+from superset.mcp_service.chart.validation.runtime.format_validator import (
+    FormatTypeValidator,
+)
+from superset.mcp_service.common.error_schemas import ChartGenerationError
+
+logger = logging.getLogger(__name__)
+
+
+class XYChartPlugin(BaseChartPlugin):
+    """Plugin for xy chart type (line, bar, area, scatter)."""
+
+    chart_type = "xy"
+    display_name = "Line / Bar / Area / Scatter Chart"
+    native_viz_types = {
+        "echarts_timeseries_line": "Line Chart",
+        "echarts_timeseries_bar": "Bar Chart",
+        "echarts_area": "Area Chart",
+        "echarts_timeseries_scatter": "Scatter Plot",
+    }
+
+    def pre_validate(
+        self,
+        config: dict[str, Any],
+    ) -> ChartGenerationError | None:
+        # x is optional — defaults to dataset's main_dttm_col in map_xy_config
+        if "y" not in config:
+            return ChartGenerationError(
+                error_type="missing_xy_fields",
+                message="XY chart missing required field: 'y' (Y-axis 
metrics)",
+                details=(
+                    "XY charts require Y-axis (metrics) specifications. "
+                    "X-axis is optional and defaults to the dataset's primary "
+                    "datetime column when omitted."
+                ),
+                suggestions=[
+                    "Add 'y' field: [{'name': 'metric_column', 'aggregate': 
'SUM'}]",
+                    "Example: {'chart_type': 'xy', 'x': {'name': 'date'}, "
+                    "'y': [{'name': 'sales', 'aggregate': 'SUM'}]}",
+                ],
+                error_code="MISSING_XY_FIELDS",
+            )
+
+        if not isinstance(config.get("y", []), list):
+            return ChartGenerationError(
+                error_type="invalid_y_format",
+                message="Y-axis must be a list of metrics",
+                details="The 'y' field must be an array of metric 
specifications",
+                suggestions=[
+                    "Wrap Y-axis metric in array: 'y': [{'name': 'column', "
+                    "'aggregate': 'SUM'}]",
+                    "Multiple metrics supported: 'y': [metric1, metric2, ...]",
+                ],
+                error_code="INVALID_Y_FORMAT",
+            )
+
+        return None
+
+    def extract_column_refs(self, config: Any) -> list[ColumnRef]:
+        if not isinstance(config, XYChartConfig):
+            return []
+        refs: list[ColumnRef] = []
+        if config.x is not None:
+            refs.append(config.x)
+        refs.extend(config.y)
+        if config.group_by:
+            refs.extend(config.group_by)
+        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_xy_config(config, dataset_id=dataset_id)
+
+    def normalize_column_refs(self, config: Any, dataset_context: Any) -> Any:
+        config_dict = config.model_dump()
+        get_canonical = DatasetValidator._get_canonical_column_name
+
+        if config_dict.get("x"):
+            config_dict["x"]["name"] = get_canonical(
+                config_dict["x"]["name"], dataset_context
+            )
+        for y_col in config_dict.get("y") or []:
+            y_col["name"] = get_canonical(y_col["name"], dataset_context)

Review Comment:
   Already handled. `normalize_column_refs` in `xy.py` (lines 122-125) branches 
on `saved_metric`: `if y_col.get("saved_metric"): y_col["name"] = 
get_canonical_metric(...)` else `y_col["name"] = get_canonical(...)`. 
Saved-metric Y-series are never remapped via the column-first path.



##########
superset/mcp_service/chart/tool/update_chart.py:
##########
@@ -196,6 +196,29 @@ def _validate_update_against_dataset(
             }
         )
 
+    # Column existence + fuzzy-match validation
+    # (mirrors generate_chart pipeline layer 2)
+    from superset.mcp_service.chart.validation.dataset_validator import 
DatasetValidator
+
+    is_col_valid, col_error = DatasetValidator.validate_against_dataset(
+        parsed_config, dataset.id
+    )
+    if not is_col_valid and col_error is not None:
+        logger.warning(
+            "update_chart column validation failed for chart %s: %s",
+            getattr(chart, "id", None),
+            col_error,
+        )
+        return GenerateChartResponse.model_validate(
+            {
+                "chart": None,
+                "error": col_error.model_dump(),
+                "success": False,
+                "schema_version": "2.0",
+                "api_version": "v1",
+            }
+        )

Review Comment:
   Good catch — valid. Removed the explicit 
`DatasetValidator.validate_against_dataset` pre-call from 
`_validate_update_against_dataset`. `validate_and_compile` already runs Tier 1 
at `compile.py:429-431` (building dataset context from the already-loaded ORM 
object, no extra DB round-trip), and on failure returns 
`CompileResult.error_obj` with the same fuzzy-match suggestions. Fixed in 
4c2bd8d.



##########
superset/mcp_service/chart/schemas.py:
##########
@@ -480,11 +487,20 @@ def serialize_chart_object(chart: ChartLike | None) -> 
ChartInfo | None:
     # Extract structured filter information
     filters_info = extract_filters_from_form_data(chart_form_data)
 
+    _viz_type = getattr(chart, "viz_type", None)
+    try:
+        from superset.mcp_service.chart.registry import 
display_name_for_viz_type
+
+        _display_name = display_name_for_viz_type(_viz_type) if _viz_type else 
None
+    except Exception:
+        _display_name = None

Review Comment:
   Intentional and already suppressed with `# noqa: BLE001`. The display-name 
lookup can fail for many reasons beyond `ImportError`/`AttributeError` (e.g. 
plugin not yet bootstrapped, attribute missing on a registry entry). The broad 
catch guarantees we return `None` rather than crash the chart-info response for 
any unexpected edge case. The noqa annotation explicitly acknowledges the 
deliberate catch.



##########
superset/mcp_service/chart/plugin.py:
##########
@@ -0,0 +1,255 @@
+# 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.
+
+"""
+ChartTypePlugin protocol and BaseChartPlugin base class.
+
+Each chart type owns its pre-validation, column extraction, form_data mapping,
+and post-map validation in a single plugin class. This eliminates the previous
+pattern of 4 separate dispatch points (schema_validator.py, 
dataset_validator.py,
+chart_utils.py, pipeline.py) that had to be updated in sync whenever a new 
chart
+type was added.
+"""
+
+from __future__ import annotations
+
+from typing import Any, Protocol, runtime_checkable
+
+from superset.mcp_service.chart.schemas import ColumnRef
+from superset.mcp_service.common.error_schemas import ChartGenerationError
+
+
+@runtime_checkable
+class ChartTypePlugin(Protocol):
+    """
+    Protocol that every chart-type plugin must satisfy.
+
+    Implementing all eight methods in a single class guarantees that adding a
+    new chart type requires only one new file — the plugin — rather than edits
+    across multiple separate files.
+    """
+
+    #: Discriminator value matching ChartConfig's chart_type field.
+    chart_type: str
+
+    #: Human-readable name shown to users (e.g. "Line / Bar / Area / Scatter").
+    display_name: str
+
+    #: Maps every Superset-internal viz_type this plugin can produce to a
+    #: user-facing display name, e.g. {"echarts_timeseries_line": "Line 
Chart"}.
+    #: Used by the registry to resolve display names for existing charts 
without
+    #: needing a separate JSON mapping file.
+    native_viz_types: dict[str, str]
+
+    def pre_validate(
+        self,
+        config: dict[str, Any],
+    ) -> ChartGenerationError | None:
+        """
+        Early validation of the raw config dict before Pydantic parsing.
+
+        Called by SchemaValidator before attempting to parse the request.
+        Should check that required top-level keys are present and well-typed.
+
+        Returns None if valid, ChartGenerationError if invalid.
+        """
+        ...
+
+    def extract_column_refs(
+        self,
+        config: Any,
+    ) -> list[ColumnRef]:
+        """
+        Extract all column references from a parsed chart config.
+
+        Called by DatasetValidator to validate that all referenced columns 
exist
+        in the dataset. Must cover every field that holds a column name,
+        including filters.
+
+        Returns a list of ColumnRef objects (may be empty).
+        """
+        ...
+
+    def to_form_data(
+        self,
+        config: Any,
+        dataset_id: int | str | None = None,
+    ) -> dict[str, Any]:
+        """
+        Map a parsed chart config to Superset's internal form_data dict.
+
+        Replaces the if/elif chain in chart_utils.map_config_to_form_data().
+
+        Returns a Superset form_data dict ready for caching and rendering.
+        """
+        ...
+
+    def post_map_validate(
+        self,
+        config: Any,
+        form_data: dict[str, Any],
+        dataset_id: int | str | None = None,
+    ) -> ChartGenerationError | None:
+        """
+        Validate the mapped form_data after to_form_data() runs.
+
+        Use this for cross-field constraints that can only be checked once
+        form_data is assembled (e.g. BigNumber trendline requires a temporal
+        column whose type must be verified against the dataset).
+
+        Returns None if valid, ChartGenerationError if invalid.
+        """
+        ...
+
+    def normalize_column_refs(
+        self,
+        config: Any,
+        dataset_context: Any,
+    ) -> Any:
+        """
+        Return a new config with column names normalized to canonical dataset 
casing.
+
+        Called by DatasetValidator.normalize_column_names(). The default
+        implementation (in BaseChartPlugin) returns the config unchanged; 
plugins
+        with column fields override this to fix case sensitivity mismatches.
+
+        Returns a new config object (or the original if no normalization 
needed).
+        """
+        ...
+
+    def get_runtime_warnings(
+        self,
+        config: Any,
+        dataset_id: int | str,
+    ) -> list[str]:
+        """
+        Return chart-type-specific runtime warnings (performance, 
compatibility).
+
+        Called by RuntimeValidator to collect per-type warnings. Warnings are
+        informational only — they never block chart generation. The default
+        implementation returns an empty list; plugins override this to emit
+        chart-type-specific warnings (e.g. XY cardinality checks).
+
+        Returns a list of warning message strings (may be empty).
+        """
+        ...
+
+    def generate_name(
+        self,
+        config: Any,
+        dataset_name: str | None = None,
+    ) -> str:
+        """
+        Return a descriptive chart name for the given config.
+
+        Called by chart_utils.generate_chart_name(). The name should follow
+        the standard format conventions documented in that function. Plugins
+        that do not override this return the generic fallback "Chart".
+        """
+        ...
+
+    def resolve_viz_type(self, config: Any) -> str:
+        """
+        Return the Superset-internal viz_type string for this config.
+
+        Called by chart_utils._resolve_viz_type(). The returned string must
+        match a registered Superset viz plugin (e.g. 
"echarts_timeseries_line").
+        Plugins that do not override this return "unknown".
+        """
+        ...
+
+    def schema_error_hint(self) -> "ChartGenerationError | None":

Review Comment:
   Already removed. Current `plugin.py` line 175 reads `def 
schema_error_hint(self) -> ChartGenerationError | None:` — no quotes. This was 
fixed in an earlier commit that also moved the `ChartGenerationError` import to 
top-level.



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