Have createPipeline pass along fieldMappings (#154951)

## Summary

previously createPipeline wasn't passing along fieldMappings, which was
leading to errors like:

<img width="968" alt="screenshot"
src="https://user-images.githubusercontent.com/5288246/231869339-82756b7a-a899-4e91-b056-b20512358c21.png">


### Checklist

- [x] [Unit or functional
tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html)
were updated or added to match the most common scenarios

### For maintainers

- [ ] This was checked for breaking API changes and was [labeled
appropriately](https://www.elastic.co/guide/en/kibana/master/contributing.html#kibana-release-notes-process)

x-pack/plugins/enterprise_search/common/types/pipelines.ts

@@ -7,6 +7,8 @@
 
 import { IngestInferenceConfig, IngestPipeline } from '@elastic/elasticsearch/lib/api/types';
 
+import { FieldMapping } from '../ml_inference_pipeline';
+
 export interface InferencePipeline {
   modelId: string | undefined;
   modelState: TrainedModelState;
@@ -81,6 +83,7 @@ export interface CreateMlInferencePipelineParameters {
 }
 
 export interface CreateMLInferencePipelineDefinition {
+  field_mappings: FieldMapping[];
   pipeline_definition: MlInferencePipeline;
   pipeline_name: string;
 }

x-pack/plugins/enterprise_search/public/applications/enterprise_search_content/api/pipelines/create_ml_inference_pipeline.ts

@@ -4,6 +4,8 @@
  * 2.0; you may not use this file except in compliance with the Elastic License
  * 2.0.
  */
+import { FieldMapping } from '../../../../../common/ml_inference_pipeline';
+
 import {
   CreateMlInferencePipelineParameters,
   CreateMLInferencePipelineDefinition,
@@ -23,9 +25,10 @@ interface CreateMlInferencePipelineApiLogicArgsWithPipelineParameters {
 }
 
 interface CreateMlInferencePipelineApiLogicArgsWithPipelineDefinition {
+  fieldMappings: FieldMapping[];
   indexName: string;
-  pipelineName: string;
   pipelineDefinition: MlInferencePipeline;
+  pipelineName: string;
 }
 
 export type CreateMlInferencePipelineApiLogicArgs =
@@ -64,14 +67,15 @@ export const createMlInferencePipeline = async (
       destination_field: args.destinationField,
       inference_config: args.inferenceConfig,
       model_id: args.modelId,
-      pipeline_name: args.pipelineName,
       pipeline_definition: undefined,
+      pipeline_name: args.pipelineName,
       source_field: args.sourceField,
     };
   } else if (isArgsWithPipelineDefinition(args)) {
     params = {
-      pipeline_name: args.pipelineName,
+      field_mappings: args.fieldMappings,
       pipeline_definition: args.pipelineDefinition,
+      pipeline_name: args.pipelineName,
     };
   }
   return await HttpLogic.values.http.post<CreateMlInferencePipelineResponse>(route, {

x-pack/plugins/enterprise_search/public/applications/enterprise_search_content/components/search_index/pipelines/ml_inference/ml_inference_logic.test.ts

@@ -531,10 +531,16 @@ describe('MlInferenceLogic', () => {
 
         MLModelsApiLogic.actions.apiSuccess([textExpansionModel]);
         MLInferenceLogic.actions.setInferencePipelineConfiguration({
-          destinationField: 'my-dest-field',
+          destinationField: mockModelConfiguration.configuration.destinationField,
+          fieldMappings: [
+            {
+              sourceField: 'source',
+              targetField: 'ml.inference.dest',
+            },
+          ],
           modelID: textExpansionModel.model_id,
           pipelineName: mockModelConfiguration.configuration.pipelineName,
-          sourceField: 'my-field',
+          sourceField: mockModelConfiguration.configuration.sourceField,
         });
         MLInferenceLogic.actions.createPipeline();
 
@@ -542,6 +548,12 @@ describe('MlInferenceLogic', () => {
           indexName: mockModelConfiguration.indexName,
           pipelineName: mockModelConfiguration.configuration.pipelineName,
           pipelineDefinition: expect.any(Object), // Generation logic is tested elsewhere
+          fieldMappings: [
+            {
+              sourceField: 'source',
+              targetField: 'ml.inference.dest',
+            },
+          ],
         });
       });
     });

x-pack/plugins/enterprise_search/public/applications/enterprise_search_content/components/search_index/pipelines/ml_inference/ml_inference_logic.ts

@@ -257,11 +257,12 @@ export const MLInferenceLogic = kea<
         mlInferencePipeline, // Full pipeline definition
       } = values;
       actions.makeCreatePipelineRequest(
-        isTextExpansionModelSelected && mlInferencePipeline
+        isTextExpansionModelSelected && mlInferencePipeline && configuration.fieldMappings
           ? {
               indexName,
-              pipelineName: configuration.pipelineName,
+              fieldMappings: configuration.fieldMappings,
               pipelineDefinition: mlInferencePipeline,
+              pipelineName: configuration.pipelineName,
             }
           : {
               destinationField: