geido commented on code in PR #33976:
URL: https://github.com/apache/superset/pull/33976#discussion_r2195102082


##########
superset/mcp_service/pydantic_schemas/chart_schemas.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.
+
+"""
+Pydantic schemas for chart-related responses
+"""
+from datetime import datetime
+from typing import Any, Dict, List, Optional, Union, Literal
+from pydantic import BaseModel, Field, ConfigDict
+from .dashboard_schemas import UserInfo, TagInfo, PaginationInfo
+
+class ChartListItem(BaseModel):
+    """Chart item for list responses"""
+    id: int = Field(..., description="Chart ID")
+    slice_name: str = Field(..., description="Chart name")
+    viz_type: Optional[str] = Field(None, description="Visualization type")
+    datasource_name: Optional[str] = Field(None, description="Datasource name")
+    datasource_type: Optional[str] = Field(None, description="Datasource type")
+    url: Optional[str] = Field(None, description="Chart URL")
+    description: Optional[str] = Field(None, description="Chart description")
+    cache_timeout: Optional[int] = Field(None, description="Cache timeout")
+    form_data: Optional[Dict[str, Any]] = Field(None, description="Chart form 
data")
+    query_context: Optional[Any] = Field(None, description="Query context")
+    changed_by: Optional[str] = Field(None, description="Last modifier 
(username)")
+    changed_by_name: Optional[str] = Field(None, description="Last modifier 
(display name)")
+    changed_on: Optional[Union[str, datetime]] = Field(None, description="Last 
modification timestamp")
+    changed_on_humanized: Optional[str] = Field(None, description="Humanized 
modification time")
+    created_by: Optional[str] = Field(None, description="Chart creator 
(username)")
+    created_on: Optional[Union[str, datetime]] = Field(None, 
description="Creation timestamp")
+    created_on_humanized: Optional[str] = Field(None, description="Humanized 
creation time")
+    tags: List[TagInfo] = Field(default_factory=list, description="Chart tags")
+    owners: List[UserInfo] = Field(default_factory=list, description="Chart 
owners")
+    model_config = ConfigDict(from_attributes=True, 
ser_json_timedelta="iso8601")
+
+class ChartListResponse(BaseModel):
+    """Response for chart list operations"""
+    charts: List[ChartListItem] = Field(..., description="List of charts")
+    count: int = Field(..., description="Number of charts in current page")
+    total_count: int = Field(..., description="Total number of charts")
+    page: int = Field(..., description="Current page number")
+    page_size: int = Field(..., description="Page size")
+    total_pages: int = Field(..., description="Total number of pages")
+    has_previous: bool = Field(..., description="Whether there is a previous 
page")
+    has_next: bool = Field(..., description="Whether there is a next page")
+    columns_requested: List[str] = Field(..., description="Columns that were 
requested")
+    columns_loaded: List[str] = Field(..., description="Columns that were 
actually loaded")
+    filters_applied: Dict[str, Any] = Field(..., description="Filters that 
were applied")
+    pagination: PaginationInfo = Field(..., description="Pagination 
information")
+    timestamp: datetime = Field(..., description="Response timestamp")
+    model_config = ConfigDict(ser_json_timedelta="iso8601")
+
+class ChartSimpleFilters(BaseModel):
+    slice_name: Optional[str] = Field(None, description="Filter by chart name 
(partial match)")
+    viz_type: Optional[str] = Field(None, description="Filter by visualization 
type")
+    datasource_name: Optional[str] = Field(None, description="Filter by 
datasource name")
+    changed_by: Optional[str] = Field(None, description="Filter by last 
modifier (username)")
+    created_by: Optional[str] = Field(None, description="Filter by creator 
(username)")
+    owner: Optional[str] = Field(None, description="Filter by owner 
(username)")
+    tags: Optional[str] = Field(None, description="Filter by tags 
(comma-separated)")
+
+class ChartAvailableFiltersResponse(BaseModel):
+    filters: Dict[str, Any] = Field(..., description="Available filters and 
their metadata")
+    operators: List[str] = Field(..., description="Supported filter operators")
+    columns: List[str] = Field(..., description="Available columns for 
filtering")
+
+class ChartInfoResponse(BaseModel):
+    chart: ChartListItem = Field(..., description="Detailed chart info")
+    model_config = ConfigDict(from_attributes=True, 
ser_json_timedelta="iso8601")
+
+class ChartErrorResponse(BaseModel):
+    error: str = Field(..., description="Error message")
+    error_type: str = Field(..., description="Type of error")
+    timestamp: Optional[Union[str, datetime]] = Field(None, description="Error 
timestamp")
+    model_config = ConfigDict(ser_json_timedelta="iso8601")
+
+def serialize_chart_object(chart) -> Optional[ChartListItem]:
+    if not chart:
+        return None
+    return ChartListItem(
+        id=getattr(chart, 'id', None),
+        slice_name=getattr(chart, 'slice_name', None),
+        viz_type=getattr(chart, 'viz_type', None),
+        datasource_name=getattr(chart, 'datasource_name', None),
+        datasource_type=getattr(chart, 'datasource_type', None),
+        url=getattr(chart, 'url', None),
+        description=getattr(chart, 'description', None),
+        cache_timeout=getattr(chart, 'cache_timeout', None),
+        form_data=getattr(chart, 'form_data', None),
+        query_context=getattr(chart, 'query_context', None),
+        changed_by=getattr(chart, 'changed_by_name', None) or 
(str(chart.changed_by) if getattr(chart, 'changed_by', None) else None),
+        changed_by_name=getattr(chart, 'changed_by_name', None) or 
(str(chart.changed_by) if getattr(chart, 'changed_by', None) else None),
+        changed_on=getattr(chart, 'changed_on', None),
+        changed_on_humanized=getattr(chart, 'changed_on_humanized', None),
+        created_by=getattr(chart, 'created_by_name', None) or 
(str(chart.created_by) if getattr(chart, 'created_by', None) else None),
+        created_on=getattr(chart, 'created_on', None),
+        created_on_humanized=getattr(chart, 'created_on_humanized', None),
+        tags=[TagInfo.model_validate(tag, from_attributes=True) for tag in 
getattr(chart, 'tags', [])] if getattr(chart, 'tags', None) else [],
+        owners=[UserInfo.model_validate(owner, from_attributes=True) for owner 
in getattr(chart, 'owners', [])] if getattr(chart, 'owners', None) else [],
+    ) 
+
+class CreateSimpleChartRequest(BaseModel):
+    """
+    Request schema for creating a simple chart via MCP.
+    """
+    slice_name: str = Field(..., description="Chart name")
+    viz_type: str = Field(..., description="Visualization type (e.g., bar, 
line, table, pie)")
+    datasource_id: int = Field(..., description="ID of the datasource 
(dataset) to use")
+    datasource_type: Literal["table"] = Field("table", description="Datasource 
type (usually 'table')")
+    metrics: List[str] = Field(..., description="List of metric names to 
display")
+    dimensions: List[str] = Field(..., description="List of dimension (column) 
names to group by")
+    filters: Optional[List[Dict[str, Any]]] = Field(None, description="List of 
filter objects (column, operator, value)")

Review Comment:
   These can get pretty complex. Do we have a sense of how good the LLM is good 
with these without additional prompting techniques? 



##########
pyproject.toml:
##########
@@ -131,6 +131,7 @@ solr = ["sqlalchemy-solr >= 0.2.0"]
 elasticsearch = ["elasticsearch-dbapi>=0.2.9, <0.3.0"]
 exasol = ["sqlalchemy-exasol >= 2.4.0, <3.0"]
 excel = ["xlrd>=1.2.0, <1.3"]
+fastmcp = ["fastmcp>=2.8.1"]

Review Comment:
   Is there any feature that we are planning to use from fastmcp that does not 
come with https://github.com/modelcontextprotocol/python-sdk out of the box? I 
think it's good to have it, just double checking if we are planning to use any 
of the additional features such as auth, clients, server proxying and 
composition, generating servers from REST APIs, dynamic tool rewriting, 
built-in testing tools, etc.?



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