[ML] Data visualizer: Add icons for semantic text, sparse vector and …

…dense vector (#196069)

## Summary

Added support for `semantic_text`, `sparse_vector` and `dense_vector` in
the Data visualizer and Field Statistics.
For  [#192161](#192161)


| Before  | After |
| ------------- | ------------- |
|
![image](https://github.com/user-attachments/assets/d87de954-bae0-46d3-9934-e6e6a6424ee0)
|
![image](https://github.com/user-attachments/assets/a6fced39-e227-43ea-9062-9add27aad8fd)
|
|
![image](https://github.com/user-attachments/assets/4c8005e3-439f-4dfc-898b-8158835d803f)
|
![image](https://github.com/user-attachments/assets/a9d501cc-84f9-4394-9ffb-a6fa62269cde)
|

x-pack/plugins/data_visualizer/common/constants.ts

@@ -47,6 +47,9 @@ export const SUPPORTED_FIELD_TYPES = {
   NESTED: 'nested',
   STRING: 'string',
   TEXT: 'text',
+  SEMANTIC_TEXT: 'semantic_text',
+  DENSE_VECTOR: 'dense_vector',
+  SPARSE_VECTOR: 'sparse_vector',
   VERSION: 'version',
   UNKNOWN: 'unknown',
 } as const;
@@ -73,3 +76,4 @@ export const featureTitle = i18n.translate('xpack.dataVisualizer.title', {
   defaultMessage: 'Upload a file',
 });
 export const featureId = `file_data_visualizer`;
+export const SUPPORTED_FIELD_TYPES_LIST: string[] = Object.values(SUPPORTED_FIELD_TYPES);

x-pack/plugins/data_visualizer/public/application/common/util/field_types_utils.ts

@@ -8,7 +8,7 @@
 import type { DataViewField } from '@kbn/data-views-plugin/public';
 import { KBN_FIELD_TYPES } from '@kbn/field-types';
 import { getFieldType } from '@kbn/field-utils/src/utils/get_field_type';
-import { SUPPORTED_FIELD_TYPES } from '../../../../common/constants';
+import { SUPPORTED_FIELD_TYPES, SUPPORTED_FIELD_TYPES_LIST } from '../../../../common/constants';
 
 // convert kibana types to ML Job types
 // this is needed because kibana types only have string and not text and keyword.
@@ -26,6 +26,15 @@ export function kbnTypeToSupportedType(field: DataViewField) {
       }
       break;
 
+    case KBN_FIELD_TYPES.UNKNOWN:
+      const maybeFieldType = field.esTypes?.[0];
+      if (maybeFieldType && SUPPORTED_FIELD_TYPES_LIST.includes(maybeFieldType)) {
+        type = maybeFieldType;
+      } else {
+        type = getFieldType(field);
+      }
+      break;
+
     default:
       type = getFieldType(field);
       break;