More preset automation & usability improvements

common/constants.ts

@@ -157,6 +157,10 @@ export const IMAGE_FIELD_PATTERN = `{{image_field}}`;
 export const QUERY_TEXT_PATTERN = `{{query_text}}`;
 export const QUERY_IMAGE_PATTERN = `{{query_image}}`;
 export const MODEL_ID_PATTERN = `{{model_id}}`;
+export const VECTOR = 'vector';
+export const VECTOR_PATTERN = `{{${VECTOR}}}`;
+export const VECTOR_TEMPLATE_PLACEHOLDER = `\$\{${VECTOR}\}`;
+export const DEFAULT_K = 10;
 
 export const FETCH_ALL_QUERY = {
   query: {
@@ -180,10 +184,9 @@ export const KNN_QUERY = {
   query: {
     knn: {
       [VECTOR_FIELD_PATTERN]: {
-        vector: `{{vector}}`,
+        vector: VECTOR_PATTERN,
+        k: DEFAULT_K,
       },
-      k: 10,
-      model_id: MODEL_ID_PATTERN,
     },
   },
 };
@@ -196,7 +199,7 @@ export const SEMANTIC_SEARCH_QUERY_NEURAL = {
       [VECTOR_FIELD_PATTERN]: {
         query_text: QUERY_TEXT_PATTERN,
         model_id: MODEL_ID_PATTERN,
-        k: 100,
+        k: DEFAULT_K,
       },
     },
   },
@@ -211,7 +214,7 @@ export const MULTIMODAL_SEARCH_QUERY_NEURAL = {
         query_text: QUERY_TEXT_PATTERN,
         query_image: QUERY_IMAGE_PATTERN,
         model_id: MODEL_ID_PATTERN,
-        k: 100,
+        k: DEFAULT_K,
       },
     },
   },
@@ -234,6 +237,32 @@ export const MULTIMODAL_SEARCH_QUERY_BOOL = {
     },
   },
 };
+export const HYBRID_SEARCH_QUERY_MATCH_KNN = {
+  _source: {
+    excludes: [VECTOR_FIELD_PATTERN],
+  },
+  query: {
+    hybrid: {
+      queries: [
+        {
+          match: {
+            [TEXT_FIELD_PATTERN]: {
+              query: QUERY_TEXT_PATTERN,
+            },
+          },
+        },
+        {
+          knn: {
+            [VECTOR_FIELD_PATTERN]: {
+              vector: VECTOR_PATTERN,
+              k: DEFAULT_K,
+            },
+          },
+        },
+      ],
+    },
+  },
+};
 export const HYBRID_SEARCH_QUERY_MATCH_NEURAL = {
   _source: {
     excludes: [VECTOR_FIELD_PATTERN],
@@ -253,7 +282,7 @@ export const HYBRID_SEARCH_QUERY_MATCH_NEURAL = {
             [VECTOR_FIELD_PATTERN]: {
               query_text: QUERY_TEXT_PATTERN,
               model_id: MODEL_ID_PATTERN,
-              k: 5,
+              k: DEFAULT_K,
             },
           },
         },
@@ -312,6 +341,10 @@ export const QUERY_PRESETS = [
     name: `${WORKFLOW_TYPE.MULTIMODAL_SEARCH} (neural)`,
     query: customStringify(MULTIMODAL_SEARCH_QUERY_NEURAL),
   },
+  {
+    name: `Hybrid search (match & k-NN queries)`,
+    query: customStringify(HYBRID_SEARCH_QUERY_MATCH_KNN),
+  },
   {
     name: `Hybrid search (match & term queries)`,
     query: customStringify(HYBRID_SEARCH_QUERY_MATCH_TERM),

public/pages/workflow_detail/workflow_inputs/input_fields/select_with_custom_options.tsx

@@ -26,14 +26,18 @@ export function SelectWithCustomOptions(props: SelectWithCustomOptionsProps) {
   // selected option state
   const [selectedOption, setSelectedOption] = useState<any[]>([]);
 
-  // update the selected option when the form is updated. set to empty if the form value is undefined
-  // or an empty string ('')
+  // update the selected option when the form is updated. if the form is empty,
+  // default to the top option. by default, this will re-trigger this hook with a populated
+  // value, to then finally update the displayed option.
   useEffect(() => {
     const formValue = getIn(values, props.fieldPath);
     if (!isEmpty(formValue)) {
       setSelectedOption([{ label: getIn(values, props.fieldPath) }]);
     } else {
-      setSelectedOption([]);
+      if (props.options.length > 0) {
+        setFieldTouched(props.fieldPath, true);
+        setFieldValue(props.fieldPath, props.options[0].label);
+      }
     }
   }, [getIn(values, props.fieldPath)]);
 

public/pages/workflow_detail/workflow_inputs/search_inputs/configure_search_request.tsx

@@ -12,10 +12,12 @@ import {
   EuiFlexGroup,
   EuiFlexItem,
   EuiFormRow,
+  EuiSmallButton,
   EuiSuperSelect,
   EuiSuperSelectOption,
   EuiText,
   EuiTitle,
+  EuiSpacer,
 } from '@elastic/eui';
 import { SearchHit, WorkflowFormValues } from '../../../../../common';
 import { JsonField } from '../input_fields';
@@ -142,41 +144,46 @@ export function ConfigureSearchRequest(props: ConfigureSearchRequestProps) {
           />
         </EuiFlexItem>
         <EuiFlexItem grow={false}>
-          <EuiButton
-            fill={false}
-            style={{ width: '100px' }}
-            size="s"
-            onClick={() => {
-              // for this test query, we don't want to involve any configured search pipelines, if any exist
-              // see https://opensearch.org/docs/latest/search-plugins/search-pipelines/using-search-pipeline/#disabling-the-default-pipeline-for-a-request
-              dispatch(
-                searchIndex({
-                  apiBody: {
-                    index: values.search.index.name,
-                    body: values.search.request,
-                    searchPipeline: '_none',
-                  },
-                  dataSourceId,
-                })
-              )
-                .unwrap()
-                .then(async (resp) => {
-                  props.setQueryResponse(
-                    JSON.stringify(
-                      resp.hits.hits.map((hit: SearchHit) => hit._source),
-                      undefined,
-                      2
-                    )
-                  );
-                })
-                .catch((error: any) => {
-                  props.setQueryResponse('');
-                  console.error('Error running query: ', error);
-                });
-            }}
-          >
-            Test
-          </EuiButton>
+          <>
+            <EuiSmallButton
+              fill={false}
+              style={{ width: '100px' }}
+              onClick={() => {
+                // for this test query, we don't want to involve any configured search pipelines, if any exist
+                // see https://opensearch.org/docs/latest/search-plugins/search-pipelines/using-search-pipeline/#disabling-the-default-pipeline-for-a-request
+                dispatch(
+                  searchIndex({
+                    apiBody: {
+                      index: values.search.index.name,
+                      body: values.search.request,
+                      searchPipeline: '_none',
+                    },
+                    dataSourceId,
+                  })
+                )
+                  .unwrap()
+                  .then(async (resp) => {
+                    props.setQueryResponse(
+                      JSON.stringify(
+                        resp.hits.hits.map((hit: SearchHit) => hit._source),
+                        undefined,
+                        2
+                      )
+                    );
+                  })
+                  .catch((error: any) => {
+                    props.setQueryResponse('');
+                    console.error('Error running query: ', error);
+                  });
+              }}
+            >
+              Test
+            </EuiSmallButton>
+            <EuiSpacer size="s" />
+            <EuiText size="s" color="subdued">
+              Run query without any search pipeline configuration.
+            </EuiText>
+          </>
         </EuiFlexItem>
       </EuiFlexGroup>
     </>

public/pages/workflows/new_workflow/quick_configure_modal.tsx

@@ -24,6 +24,7 @@ import {
   MapFormValue,
   QuickConfigureFields,
   TEXT_FIELD_PATTERN,
+  VECTOR,
   VECTOR_FIELD_PATTERN,
   WORKFLOW_NAME_REGEXP,
   WORKFLOW_TYPE,
@@ -172,8 +173,8 @@ function injectQuickConfigureFields(
             workflow.ui_metadata.config,
             quickConfigureFields
           );
-          workflow.ui_metadata.config = updateSearchRequestConfig(
-            workflow.ui_metadata.config,
+          workflow.ui_metadata.config.search.request.value = injectPlaceholderValues(
+            (workflow.ui_metadata.config.search.request.value || '') as string,
             quickConfigureFields
           );
           workflow.ui_metadata.config = updateSearchRequestProcessorConfig(
@@ -228,6 +229,7 @@ function updateIngestProcessorConfig(
 }
 
 // prefill ML search request processor config, if applicable
+// including populating placeholders in any pre-configured query_template
 function updateSearchRequestProcessorConfig(
   config: WorkflowConfig,
   fields: QuickConfigureFields
@@ -236,10 +238,28 @@ function updateSearchRequestProcessorConfig(
     if (field.id === 'model' && fields.embeddingModelId) {
       field.value = { id: fields.embeddingModelId };
     }
-    if (field.id === 'input_map' || field.id === 'output_map') {
+    if (field.id === 'input_map') {
+      // TODO: pre-populate more if the query becomes standard
       field.value = [[EMPTY_MAP_ENTRY]] as MapArrayFormValue;
     }
+    if (field.id === 'output_map') {
+      // prepopulate 'vector' constant as the model output transformed field,
+      // so it is consistent and used in the downstream query_template, if configured.
+      field.value = [[{ key: VECTOR, value: '' }]] as MapArrayFormValue;
+    }
   });
+  config.search.enrichRequest.processors[0].optionalFields = config.search.enrichRequest.processors[0].optionalFields?.map(
+    (optionalField) => {
+      let updatedOptionalField = optionalField;
+      if (optionalField.id === 'query_template') {
+        optionalField.value = injectPlaceholderValues(
+          (optionalField.value || '') as string,
+          fields
+        );
+      }
+      return updatedOptionalField;
+    }
+  );
 
   return config;
 }
@@ -295,39 +315,36 @@ function updateIndexConfig(
   return config;
 }
 
-// pre-populate placeholders in the query, if applicable
-function updateSearchRequestConfig(
-  config: WorkflowConfig,
+// pre-populate placeholders for a query request string
+function injectPlaceholderValues(
+  requestString: string,
   fields: QuickConfigureFields
-): WorkflowConfig {
+): string {
+  let finalRequestString = requestString;
   if (fields.embeddingModelId) {
-    config.search.request.value = ((config.search.request.value ||
-      '') as string).replace(
+    finalRequestString = finalRequestString.replace(
       new RegExp(MODEL_ID_PATTERN, 'g'),
       fields.embeddingModelId
     );
   }
   if (fields.textField) {
-    config.search.request.value = ((config.search.request.value ||
-      '') as string).replace(
+    finalRequestString = finalRequestString.replace(
       new RegExp(TEXT_FIELD_PATTERN, 'g'),
       fields.textField
     );
   }
   if (fields.vectorField) {
-    config.search.request.value = ((config.search.request.value ||
-      '') as string).replace(
+    finalRequestString = finalRequestString.replace(
       new RegExp(VECTOR_FIELD_PATTERN, 'g'),
       fields.vectorField
     );
   }
   if (fields.imageField) {
-    config.search.request.value = ((config.search.request.value ||
-      '') as string).replace(
+    finalRequestString = finalRequestString.replace(
       new RegExp(IMAGE_FIELD_PATTERN, 'g'),
       fields.imageField
     );
   }
 
-  return config;
+  return finalRequestString;
 }