[ML] Fix error callout for Anomaly detection jobs using runtime_mappings

x-pack/plugins/ml/common/util/job_utils.ts

@@ -49,6 +49,22 @@ export function calculateDatafeedFrequencyDefaultSeconds(bucketSpanSeconds: numb
   return freq;
 }
 
+export function hasRuntimeMappings(job: CombinedJob): boolean {
+  const hasDatafeed =
+    typeof job.datafeed_config === 'object' && Object.keys(job.datafeed_config).length > 0;
+  if (hasDatafeed) {
+    const runtimeMappings =
+      typeof job.datafeed_config.runtime_mappings === 'object'
+        ? Object.keys(job.datafeed_config.runtime_mappings)
+        : undefined;
+
+    if (Array.isArray(runtimeMappings) && runtimeMappings.length > 0) {
+      return true;
+    }
+  }
+  return false;
+}
+
 export function isTimeSeriesViewJob(job: CombinedJob): boolean {
   return getSingleMetricViewerJobErrorMessage(job) === undefined;
 }
@@ -94,10 +110,10 @@ export function isSourceDataChartableForDetector(job: CombinedJob, detectorIndex
         scriptFields.indexOf(dtr.over_field_name!) === -1;
     }
 
-    // We cannot plot the source data for some specific aggregation configurations
     const hasDatafeed =
       typeof job.datafeed_config === 'object' && Object.keys(job.datafeed_config).length > 0;
     if (hasDatafeed) {
+      // We cannot plot the source data for some specific aggregation configurations
       const aggs = getDatafeedAggregations(job.datafeed_config);
       if (aggs !== undefined) {
         const aggBucketsName = getAggregationBucketsName(aggs);
@@ -110,6 +126,11 @@ export function isSourceDataChartableForDetector(job: CombinedJob, detectorIndex
           }
         }
       }
+
+      // We also cannot plot the source data if they datafeed uses any field defined by runtime_mappings
+      if (hasRuntimeMappings(job)) {
+        return false;
+      }
     }
   }
 
@@ -149,6 +170,12 @@ export function isModelPlotChartableForDetector(job: Job, detectorIndex: number)
 // Returns a reason to indicate why the job configuration is not supported
 // if the result is undefined, that means the single metric job should be viewable
 export function getSingleMetricViewerJobErrorMessage(job: CombinedJob): string | undefined {
+  // if job has runtime mappings with no model plot
+  if (hasRuntimeMappings(job) && !job.model_plot_config?.enabled) {
+    return i18n.translate('xpack.ml.timeSeriesJob.jobWithRunTimeMessage', {
+      defaultMessage: 'the datafeed contains runtime fields and model plot is disabled',
+    });
+  }
   // only allow jobs with at least one detector whose function corresponds to
   // an ES aggregation which can be viewed in the single metric view and which
   // doesn't use a scripted field which can be very difficult or impossible to