[ML] Functional API tests - fix mml request bodies (#62116) (#62152)

This PR adjusts the request bodies in the model memory estimation endpoint tests.
elastic · Apr 1, 2020 · b59f7fe · b59f7fe
1 parent 397fd15
commit b59f7fe
Showing 1 changed file with 8 additions and 7 deletions.
diff --git a/x-pack/test/api_integration/apis/ml/calculate_model_memory_limit.ts b/x-pack/test/api_integration/apis/ml/calculate_model_memory_limit.ts
@@ -48,7 +48,7 @@ export default ({ getService }: FtrProviderContext) => {
       },
     },
     {
-      testTitleSuffix: 'with 1 metrics and 1 influencers same as split field',
+      testTitleSuffix: 'with 1 metric and 1 influencer same as split field',
       user: USER.ML_POWERUSER,
       requestBody: {
         indexPattern: 'ecommerce',
@@ -57,7 +57,7 @@ export default ({ getService }: FtrProviderContext) => {
           detectors: [
             {
               function: 'avg',
-              field_name: 'geoip.city_name',
+              field_name: 'taxless_total_price',
               by_field_name: 'geoip.city_name',
             },
           ],
@@ -84,7 +84,7 @@ export default ({ getService }: FtrProviderContext) => {
             {
               function: 'mean',
               by_field_name: 'geoip.city_name',
-              field_name: 'geoip.city_name',
+              field_name: 'taxless_total_price',
             },
           ],
           influencers: ['geoip.city_name', 'customer_gender', 'customer_full_name.keyword'],
@@ -100,7 +100,8 @@ export default ({ getService }: FtrProviderContext) => {
       },
     },
     {
-      testTitleSuffix: '4 influencers, split by customer_id and filtering by country code',
+      testTitleSuffix:
+        '2 detectors split by city and manufacturer, 4 influencers, filtering by country code',
       user: USER.ML_POWERUSER,
       requestBody: {
         indexPattern: 'ecommerce',
@@ -109,13 +110,13 @@ export default ({ getService }: FtrProviderContext) => {
           detectors: [
             {
               function: 'mean',
-              by_field_name: 'customer_id.city_name',
-              field_name: 'customer_id.city_name',
+              by_field_name: 'geoip.city_name',
+              field_name: 'taxless_total_price',
             },
             {
               function: 'avg',
               by_field_name: 'manufacturer.keyword',
-              field_name: 'manufacturer.keyword',
+              field_name: 'taxless_total_price',
             },
           ],
           influencers: [