debugging

Author: aozisik

README.md

@@ -43,9 +43,7 @@ You can optionally add a 4th column to specify custom colors for each link:
 3. **Color** - The color for this specific link (string)
 4. **Value** - The numeric value/weight of the flow (number)
 
-The color column is automatically detected by:
-- **Column name**: If the column is named "color" or "colour"
-- **Column values**: If the values look like colors (hex codes, rgb, hsl, or CSS color names)
+When you provide 4 columns, the 3rd column is automatically treated as the color column and will not appear as a header in the panel.
 
 Example query result with colors:
 ```

src/dataParser.ts

@@ -8,18 +8,17 @@ import { DataFrameView, Field, getFieldDisplayName, Vector } from '@grafana/data
  * - 3 columns: source, destination, value
  * - 4 columns: source, destination, color, value
  *
- * The color column is automatically detected by:
- * - Column name being "color" or "colour"
- * - Column values looking like color strings (hex codes, rgb, hsl, or color names)
+ * When 4 columns are provided, the 3rd column is treated as the color column.
+ * The color column is excluded from display names (headers).
  *
- * It automatically builds multi-step Sankey diagrams by detecting flow paths
+ * It automatically builds multi-step Sankey diagrams by detecting flow paths.
  *
  * @param data the data returned by the query
  * @param options the field options from the editor panel
  * @param monochrome the boolean in the editor panel that sets whether the sankey is single or multi colored
  * @param color the color chosen in the editor panel for the sankey links if monochrome bool is true
  * @return {pluginData} the node and link data for the d3-sankey
- * @return {displayNames} the display names for the headers
+ * @return {displayNames} the display names for the headers (excludes color column)
  * @return {rowDisplayNames}
  * @return {valueField[0]}
  */
@@ -148,6 +147,8 @@ export function parseData(data: { series: any[] }, options: { valueField: any },
     }
   });
 
+  console.log('DataParser: numFields=', numFields, 'hasColorColumn=', hasColorColumn, 'colorFieldIndex=', colorFieldIndex, 'displayNames=', displayNames);
+
   // Find value field (should be the numeric field, typically the 3rd column)
   let valueField = data.series.map((series: { fields: any[] }) =>
     series.fields.find((field: { name: any }) => field.name === options.valueField)