[Enterprise Search] fix ml inference with api index (#142673)

Updates the the Pipelines logic to ensure you can configure ml inference
pipelines with api-based indices.

x-pack/plugins/enterprise_search/public/applications/enterprise_search_content/components/search_index/pipelines/ingest_pipelines_card.tsx

@@ -85,7 +85,7 @@ export const IngestPipelinesCard: React.FC = () => {
               <EuiFlexGroup alignItems="center">
                 <EuiFlexItem>
                   <EuiTitle size="xs">
-                    <h4>{pipelineState.name}</h4>
+                    <h4>{pipelineName}</h4>
                   </EuiTitle>
                 </EuiFlexItem>
                 <EuiFlexItem grow={false}>

x-pack/plugins/enterprise_search/public/applications/enterprise_search_content/components/search_index/pipelines/pipelines.tsx

@@ -33,12 +33,8 @@ import { PipelinesJSONConfigurations } from './pipelines_json_configurations';
 import { PipelinesLogic } from './pipelines_logic';
 
 export const SearchIndexPipelines: React.FC = () => {
-  const {
-    showAddMlInferencePipelineModal,
-    hasIndexIngestionPipeline,
-    index,
-    pipelineState: { name: pipelineName },
-  } = useValues(PipelinesLogic);
+  const { showAddMlInferencePipelineModal, hasIndexIngestionPipeline, index, pipelineName } =
+    useValues(PipelinesLogic);
   const { closeAddMlInferencePipelineModal, openAddMlInferencePipelineModal } =
     useActions(PipelinesLogic);
   const apiIndex = isApiIndex(index);
@@ -133,7 +129,7 @@ export const SearchIndexPipelines: React.FC = () => {
                     'xpack.enterpriseSearch.content.indices.pipelines.mlInferencePipelines.subtitleAPIindex',
                     {
                       defaultMessage:
-                        "Inference pipelines will be run as processors from the Enterprise Search Ingest Pipeline. In order to use these pipeline on API-based indices you'll need to reference the {pipelineName} pipeline in your API requests.",
+                        "Inference pipelines will be run as processors from the Enterprise Search Ingest Pipeline. In order to use these pipelines on API-based indices you'll need to reference the {pipelineName} pipeline in your API requests.",
                       values: {
                         pipelineName,
                       },

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

@@ -4,11 +4,13 @@
  * 2.0; you may not use this file except in compliance with the Elastic License
  * 2.0.
  */
-
 import { LogicMounter, mockFlashMessageHelpers } from '../../../../__mocks__/kea_logic';
-import { connectorIndex } from '../../../__mocks__/view_index.mock';
+import { apiIndex, connectorIndex } from '../../../__mocks__/view_index.mock';
+
+import { IngestPipeline } from '@elastic/elasticsearch/lib/api/types';
 
 import { UpdatePipelineApiLogic } from '../../../api/connector/update_pipeline_api_logic';
+import { FetchCustomPipelineApiLogic } from '../../../api/index/fetch_custom_pipeline_api_logic';
 import { FetchIndexApiLogic } from '../../../api/index/fetch_index_api_logic';
 
 import { PipelinesLogic } from './pipelines_logic';
@@ -40,6 +42,7 @@ describe('PipelinesLogic', () => {
   const { mount } = new LogicMounter(PipelinesLogic);
   const { mount: mountFetchIndexApiLogic } = new LogicMounter(FetchIndexApiLogic);
   const { mount: mountUpdatePipelineLogic } = new LogicMounter(UpdatePipelineApiLogic);
+  const { mount: mountFetchCustomPipelineApiLogic } = new LogicMounter(FetchCustomPipelineApiLogic);
   const { clearFlashMessages, flashAPIErrors, flashSuccessToast } = mockFlashMessageHelpers;
 
   const newPipeline = {
@@ -51,6 +54,7 @@ describe('PipelinesLogic', () => {
   beforeEach(() => {
     jest.clearAllMocks();
     mountFetchIndexApiLogic();
+    mountFetchCustomPipelineApiLogic();
     mountUpdatePipelineLogic();
     mount();
   });
@@ -195,5 +199,41 @@ describe('PipelinesLogic', () => {
         });
       });
     });
+    describe('fetchCustomPipelineSuccess', () => {
+      it('should support api indices with custom ingest pipelines', () => {
+        PipelinesLogic.actions.fetchIndexApiSuccess({
+          ...apiIndex,
+        });
+        const indexName = apiIndex.name;
+        const indexPipelines: Record<string, IngestPipeline> = {
+          [indexName]: {
+            processors: [],
+            version: 1,
+          },
+          [`${indexName}@custom`]: {
+            processors: [],
+            version: 1,
+          },
+          [`${indexName}@ml-inference`]: {
+            processors: [],
+            version: 1,
+          },
+        };
+        PipelinesLogic.actions.fetchCustomPipelineSuccess(indexPipelines);
+
+        expect(PipelinesLogic.values).toEqual({
+          ...DEFAULT_VALUES,
+          customPipelineData: indexPipelines,
+          index: {
+            ...apiIndex,
+          },
+          indexName,
+          pipelineName: indexName,
+          canSetPipeline: false,
+          hasIndexIngestionPipeline: true,
+          canUseMlInferencePipeline: true,
+        });
+      });
+    });
   });
 });

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

@@ -90,6 +90,10 @@ type PipelinesActions = Pick<
     FetchCustomPipelineApiLogicArgs,
     FetchCustomPipelineApiLogicResponse
   >['makeRequest'];
+  fetchCustomPipelineSuccess: Actions<
+    FetchCustomPipelineApiLogicArgs,
+    FetchCustomPipelineApiLogicResponse
+  >['apiSuccess'];
   fetchDefaultPipeline: Actions<undefined, FetchDefaultPipelineResponse>['makeRequest'];
   fetchDefaultPipelineSuccess: Actions<undefined, FetchDefaultPipelineResponse>['apiSuccess'];
   fetchIndexApiSuccess: Actions<FetchIndexApiParams, FetchIndexApiResponse>['apiSuccess'];
@@ -143,7 +147,7 @@ export const PipelinesLogic = kea<MakeLogicType<PipelinesValues, PipelinesAction
       FetchDefaultPipelineApiLogic,
       ['apiSuccess as fetchDefaultPipelineSuccess', 'makeRequest as fetchDefaultPipeline'],
       FetchCustomPipelineApiLogic,
-      ['makeRequest as fetchCustomPipeline'],
+      ['apiSuccess as fetchCustomPipelineSuccess', 'makeRequest as fetchCustomPipeline'],
       FetchMlInferencePipelineProcessorsApiLogic,
       [
         'makeRequest as fetchMlInferenceProcessors',
@@ -303,16 +307,12 @@ export const PipelinesLogic = kea<MakeLogicType<PipelinesValues, PipelinesAction
       (index: ElasticsearchIndexWithIngestion) => !isApiIndex(index),
     ],
     canUseMlInferencePipeline: [
-      () => [
-        selectors.canSetPipeline,
-        selectors.hasIndexIngestionPipeline,
-        selectors.pipelineState,
-      ],
+      () => [selectors.hasIndexIngestionPipeline, selectors.pipelineState, selectors.index],
       (
-        canSetPipeline: boolean,
         hasIndexIngestionPipeline: boolean,
-        pipelineState: IngestPipelineParams
-      ) => canSetPipeline && hasIndexIngestionPipeline && pipelineState.run_ml_inference,
+        pipelineState: IngestPipelineParams,
+        index: ElasticsearchIndexWithIngestion
+      ) => hasIndexIngestionPipeline && (pipelineState.run_ml_inference || isApiIndex(index)),
     ],
     defaultPipelineValues: [
       () => [selectors.defaultPipelineValuesData],