Generate ingest pipeline ID on the fly

Signed-off-by: Tyler Ohlsen <ohltyler@amazon.com>

Author: ohltyler

public/component_types/transformer/text_embedding_transformer.ts

@@ -18,14 +18,6 @@ export class TextEmbeddingTransformer extends MLTransformer {
     this.baseClasses = [...this.baseClasses, this.type];
     this.inputs = [];
     this.createFields = [
-      {
-        label: 'Ingest Pipeline',
-        id: 'ingestPipelineName',
-        type: 'string',
-        helpText:
-          'The name of the ingest pipeline configured with the text embedding transformer',
-        helpLink: 'https://opensearch.org/docs/latest/ingest-pipelines/',
-      },
       {
         label: 'Model',
         id: 'model',

public/pages/workflow_detail/utils/workflow_to_template_utils.ts

@@ -28,6 +28,7 @@ import {
   MPNET_SENTENCE_TRANSFORMER,
   BERT_SENTENCE_TRANSFORMER,
   REGISTER_LOCAL_PRETRAINED_MODEL_STEP_TYPE,
+  generateId,
 } from '../../../../common';
 
 /**
@@ -128,18 +129,15 @@ function toIngestPipelineNodes(flowNode: ReactFlowComponent): TemplateNode[] {
   switch (flowNode.data.type) {
     case COMPONENT_CLASS.TEXT_EMBEDDING_TRANSFORMER:
     default: {
-      const {
-        ingestPipelineName,
-        model,
-        inputField,
-        vectorField,
-      } = componentDataToFormik(flowNode.data) as {
-        ingestPipelineName: string;
+      const { model, inputField, vectorField } = componentDataToFormik(
+        flowNode.data
+      ) as {
         model: ModelFormValue;
         inputField: string;
         vectorField: string;
       };
       const modelId = model.id;
+      const ingestPipelineName = generateId('ingest_pipeline');
 
       let registerModelStep = undefined as
         | RegisterPretrainedModelNode