chore: split revert to separate PR

Author: MattDevy

output/openapi/elasticsearch-openapi.json

@@ -1,6 +1,7 @@
 {
   "endpointErrors": {},
   "generalErrors": [
+    "ResponseBody is present in multiple namespaces: _global.search and ml.evaluate_data_frame",
     "Dangling type '_global.scripts_painless_execute:PainlessExecutionPosition'",
     "Dangling type '_global.scripts_painless_execute:PainlessScript'",
     "Dangling type '_global.search._types:HitMetadata'",

output/openapi/elasticsearch-serverless-openapi.json

@@ -78,6 +78,7 @@ export default defineConfig({
             'migration.post_feature_upgrade'
           ],
           Operation: ['_global.mget', '_global.mtermvectors'],
+          ResponseBody: ['_global.search', 'ml.evaluate_data_frame'],
           Phase: ['ilm._types', 'xpack.usage'],
           Phases: ['ilm._types', 'xpack.usage'],
           Pipeline: ['ingest._types', 'logstash._types'],

output/schema/schema.json

@@ -24,20 +24,24 @@ import {
 } from './types'
 
 export class Response {
-  body: {
-    /**
-     * Evaluation results for a classification analysis.
-     * It outputs a prediction that identifies to which of the classes each document belongs.
-     */
-    classification?: DataframeClassificationSummary
-    /**
-     * Evaluation results for an outlier detection analysis.
-     * It outputs the probability that each document is an outlier.
-     */
-    outlier_detection?: DataframeOutlierDetectionSummary
-    /**
-     * Evaluation results for a regression analysis which outputs a prediction of values.
-     */
-    regression?: DataframeRegressionSummary
-  }
+  /** @codegen_name result */
+  body: ResponseBody
+}
+
+/** @variants container */
+export class ResponseBody {
+  /**
+   * Evaluation results for a classification analysis.
+   * It outputs a prediction that identifies to which of the classes each document belongs.
+   */
+  classification?: DataframeClassificationSummary
+  /**
+   * Evaluation results for an outlier detection analysis.
+   * It outputs the probability that each document is an outlier.
+   */
+  outlier_detection?: DataframeOutlierDetectionSummary
+  /**
+   * Evaluation results for a regression analysis which outputs a prediction of values.
+   */
+  regression?: DataframeRegressionSummary
 }