[ML] Anomaly Detection: Adds popover links menu to anomaly explorer c…

…harts. (elastic#186587)

## Summary

Adds support for clicking on Anomaly Explorer charts to trigger the
actions popover menu.

- [x] ExplorerChartSingleMetric
- [x] ExplorerChartDistribution
- [x] Support for embedded charts

Anomaly Explorer

[ml-anomaly-charts-actions-0001.webm](https://github.com/elastic/kibana/assets/230104/9502b234-7df8-4290-9914-163936487af8)

Embedding

[ml-anomaly-charts-actions-embedding-0001.webm](https://github.com/elastic/kibana/assets/230104/ee519b47-e924-4947-b127-4f3ecf62616e)

### Checklist

- [x] [Unit or functional
tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html)
were updated or added to match the most common scenarios
- [x] This was checked for breaking API changes and was [labeled
appropriately](https://www.elastic.co/guide/en/kibana/master/contributing.html#kibana-release-notes-process)

x-pack/packages/ml/anomaly_utils/types.ts

@@ -343,7 +343,7 @@ export interface MlAnomaliesTableRecord {
   /**
    * Returns true if the job has the model plot enabled
    */
-  modelPlotEnabled: boolean;
+  modelPlotEnabled?: boolean;
 }
 
 /**

x-pack/plugins/ml/public/application/explorer/__mocks__/mock_anomalies_table_data.json → x-pack/plugins/ml/common/__mocks__/mock_anomalies_table_data.json

@@ -1,4 +1,5 @@
-{ "default":  {
+{
+  "default": {
     "anomalies": [
       {
         "time": 1486018800000,
@@ -44,9 +45,11 @@
         "metricDescriptionSort": 82.83851409101328,
         "detector": "count by mlcategory",
         "isTimeSeriesViewDetector": false,
-          "influencers": [
-            "mockInfluencer"
-          ]
+        "influencers": [
+          {
+            "mockInfluencerField": "mockInfluencerValue"
+          }
+        ]
       },
       {
         "time": 1486018800000,
@@ -92,12 +95,16 @@
         "metricDescriptionSort": 38.82201810127708,
         "detector": "count by mlcategory",
         "isTimeSeriesViewDetector": false,
-          "influencers": [
-            "mockInfluencer"
-          ]
+        "influencers": [
+          {
+            "mockInfluencerField": "mockInfluencerValue"
+          }
+        ]
       }
     ],
-    "jobIds": ["it-ops-count-by-mlcategory-one"],
+    "jobIds": [
+      "it-ops-count-by-mlcategory-one"
+    ],
     "interval": "day",
     "examplesByJobId": {
       "it-ops-count-by-mlcategory-one": {
@@ -161,7 +168,9 @@
         "detector": "count by mlcategory",
         "isTimeSeriesViewDetector": false,
         "influencers": [
-          "mockInfluencer"
+          {
+            "mockInfluencerField": "mockInfluencerValue"
+          }
         ]
       },
       {
@@ -208,7 +217,9 @@
         "detector": "count by mlcategory",
         "isTimeSeriesViewDetector": false,
         "influencers": [
-          "mockInfluencer"
+          {
+            "mockInfluencerField": "mockInfluencerValue"
+          }
         ]
       }
     ],
@@ -496,7 +507,9 @@
         "detector": "count by mlcategory",
         "isTimeSeriesViewDetector": false,
         "influencers": [
-          "mockInfluencer"
+          {
+            "mockInfluencerField": "mockInfluencerValue"
+          }
         ]
       },
       {
@@ -541,7 +554,9 @@
         "detector": "count by mlcategory",
         "isTimeSeriesViewDetector": false,
         "influencers": [
-          "mockInfluencer"
+          {
+            "mockInfluencerField": "mockInfluencerValue"
+          }
         ]
       }
     ],