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santoshray02

CSV Editor

by santoshray02

select_columns

Extract specific columns from CSV data to focus on relevant information and simplify analysis.

Instructions

Select specific columns from the dataframe.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
columnsYes

Implementation Reference

  • Core handler function that performs column selection on the session's pandas DataFrame, including validation, operation recording, and response generation.
    async def select_columns(
        session_id: str, 
        columns: List[str], 
        ctx: Context = None
    ) -> Dict[str, Any]:
        """
        Select specific columns from the dataframe.
        
        Args:
            session_id: Session identifier
            columns: List of column names to keep
            ctx: FastMCP context
            
        Returns:
            Dict with success status and selected columns
        """
        try:
            manager = get_session_manager()
            session = manager.get_session(session_id)
            
            if not session or session.df is None:
                return {"success": False, "error": "Invalid session or no data loaded"}
            
            df = session.df
            
            # Validate columns exist
            missing_cols = [col for col in columns if col not in df.columns]
            if missing_cols:
                return {"success": False, "error": f"Columns not found: {missing_cols}"}
            
            session.df = df[columns].copy()
            session.record_operation(OperationType.SELECT, {
                "columns": columns,
                "columns_before": df.columns.tolist(),
                "columns_after": columns
            })
            
            return {
                "success": True,
                "selected_columns": columns,
                "columns_removed": [col for col in df.columns if col not in columns]
            }
            
        except Exception as e:
            logger.error(f"Error selecting columns: {str(e)}")
            return {"success": False, "error": str(e)}
  • Registers the 'select_columns' tool using the FastMCP @mcp.tool decorator, delegating execution to the imported handler function.
    @mcp.tool
    async def select_columns(
        session_id: str,
        columns: List[str],
        ctx: Context = None
    ) -> Dict[str, Any]:
        """Select specific columns from the dataframe."""
        return await _select_columns(session_id, columns, ctx)

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