Method validate_columns

xtop/core/data_source.py:175–208

Validate and map column names (case-insensitive). Returns list of actual column names.

(self, columns: List[str], csv_type: str = None)

        return (None, None)
    
    def validate_columns(self, columns: List[str], csv_type: str = None) -> List[str]:
        """
        Validate and map column names (case-insensitive).
        Returns list of actual column names.
        """
        # Ensure columns are discovered
        if not self.available_columns:
            self.discover_columns()
        
        validated = []
        
        for col in columns:
            col_lower = col.lower()
            found = False
            
            if csv_type and csv_type in self.available_columns:
                # Look in specific CSV type first
                if col_lower in self.available_columns[csv_type]:
                    validated.append(self.available_columns[csv_type][col_lower])
                    found = True
            
            if not found:
                # Look in all CSV types
                for csv_cols in self.available_columns.values():
                    if col_lower in csv_cols:
                        validated.append(csv_cols[col_lower])
                        found = True
                        break
            
            if not found:
                # Use original column name if not found
                validated.append(col)
        
        return validated
    
    def get_available_values(self, column: str, csv_type: str = 'samples', 
                           where_clause: str = "1=1", limit: int = 100) -> List[Any]: