DataDog · api-clients-generation-pipeline · Sep 13, 2023 · Sep 13, 2023
@@ -4,13 +4,13 @@
     "spec_versions": {
         "v1": {
             "apigentools_version": "1.6.5",
-            "regenerated": "2023-09-12 20:28:17.290809",
-            "spec_repo_commit": "bc2ae18f"
+            "regenerated": "2023-09-13 14:37:15.420184",
+            "spec_repo_commit": "ec46249d"
         },
         "v2": {
             "apigentools_version": "1.6.5",
-            "regenerated": "2023-09-12 20:28:17.303876",
-            "spec_repo_commit": "bc2ae18f"
+            "regenerated": "2023-09-13 14:37:15.436584",
+            "spec_repo_commit": "ec46249d"
         }
     }
 }
@@ -3422,6 +3422,11 @@ components:
           $ref: '#/components/schemas/LogQueryDefinition'
         event_query:
           $ref: '#/components/schemas/EventQueryDefinition'
+        formulas:
+          description: List of formulas that operate on queries.
+          items:
+            $ref: '#/components/schemas/WidgetFormula'
+          type: array
         log_query:
           $ref: '#/components/schemas/LogQueryDefinition'
         network_query:
@@ -3433,6 +3438,13 @@ components:
         q:
           description: Widget query.
           type: string
+        queries:
+          description: List of queries that can be returned directly or used in formulas.
+          items:
+            $ref: '#/components/schemas/FormulaAndFunctionQueryDefinition'
+          type: array
+        response_format:
+          $ref: '#/components/schemas/FormulaAndFunctionResponseFormat'
         rum_query:
           $ref: '#/components/schemas/LogQueryDefinition'
         security_query:

@@ -0,0 +1 @@
+"2023-09-12T19:51:40.932Z"
@@ -0,0 +1,110 @@
+{
+  "log": {
+    "_recordingName": "Dashboards/Create a new dashboard with formula and function heatmap widget",
+    "creator": {
+      "comment": "persister:fs",
+      "name": "Polly.JS",
+      "version": "6.0.5"
+    },
+    "entries": [
+      {
+        "_id": "2c3b89238cc7caa5503006df123a1604",
+        "_order": 0,
+        "cache": {},
+        "request": {
+          "bodySize": 527,
+          "cookies": [],
+          "headers": [
+            {
+              "_fromType": "array",
+              "name": "accept",
+              "value": "application/json"
+            },
+            {
+              "_fromType": "array",
+              "name": "content-type",
+              "value": "application/json"
+            }
+          ],
+          "headersSize": 559,
+          "httpVersion": "HTTP/1.1",
+          "method": "POST",
+          "postData": {
+            "mimeType": "application/json",
+            "params": [],
+            "text": "{\"is_read_only\":false,\"layout_type\":\"free\",\"notify_list\":[],\"template_variables\":[],\"title\":\"Test-Create_a_new_dashboard_with_formula_and_function_heatmap_widget-1694548300\",\"widgets\":[{\"definition\":{\"requests\":[{\"formulas\":[{\"formula\":\"query1\"}],\"queries\":[{\"data_source\":\"metrics\",\"name\":\"query1\",\"query\":\"avg:system.cpu.user{*}\"}],\"response_format\":\"timeseries\",\"style\":{\"palette\":\"dog_classic\"}}],\"time\":{},\"title\":\"\",\"title_align\":\"left\",\"title_size\":\"16\",\"type\":\"heatmap\"},\"layout\":{\"height\":15,\"width\":47,\"x\":0,\"y\":0}}]}"
+          },
+          "queryString": [],
+          "url": "https://api.datadoghq.com/api/v1/dashboard"
+        },
+        "response": {
+          "bodySize": 864,
+          "content": {
+            "mimeType": "application/json",
+            "size": 864,
+            "text": "{\"id\":\"agm-reh-km8\",\"title\":\"Test-Create_a_new_dashboard_with_formula_and_function_heatmap_widget-1694548300\",\"description\":null,\"author_handle\":\"frog@datadoghq.com\",\"author_name\":null,\"layout_type\":\"free\",\"url\":\"/dashboard/agm-reh-km8/test-createanewdashboardwithformulaandfunctionheatmapwidget-1694548300\",\"is_read_only\":false,\"template_variables\":[],\"widgets\":[{\"definition\":{\"requests\":[{\"formulas\":[{\"formula\":\"query1\"}],\"queries\":[{\"data_source\":\"metrics\",\"name\":\"query1\",\"query\":\"avg:system.cpu.user{*}\"}],\"response_format\":\"timeseries\",\"style\":{\"palette\":\"dog_classic\"}}],\"time\":{},\"title\":\"\",\"title_align\":\"left\",\"title_size\":\"16\",\"type\":\"heatmap\"},\"layout\":{\"height\":15,\"width\":47,\"x\":0,\"y\":0},\"id\":658874190518028}],\"notify_list\":[],\"created_at\":\"2023-09-12T19:51:41.163760+00:00\",\"modified_at\":\"2023-09-12T19:51:41.163760+00:00\",\"restricted_roles\":[]}\n"
+          },
+          "cookies": [],
+          "headers": [
+            {
+              "name": "content-type",
+              "value": "application/json"
+            }
+          ],
+          "headersSize": 517,
+          "httpVersion": "HTTP/1.1",
+          "redirectURL": "",
+          "status": 200,
+          "statusText": "OK"
+        },
+        "startedDateTime": "2023-09-12T19:51:40.940Z",
+        "time": 290
+      },
+      {
+        "_id": "80d084303632271b710c1e318ec66d25",
+        "_order": 0,
+        "cache": {},
+        "request": {
+          "bodySize": 0,
+          "cookies": [],
+          "headers": [
+            {
+              "_fromType": "array",
+              "name": "accept",
+              "value": "application/json"
+            }
+          ],
+          "headersSize": 520,
+          "httpVersion": "HTTP/1.1",
+          "method": "DELETE",
+          "queryString": [],
+          "url": "https://api.datadoghq.com/api/v1/dashboard/agm-reh-km8"
+        },
+        "response": {
+          "bodySize": 39,
+          "content": {
+            "mimeType": "application/json",
+            "size": 39,
+            "text": "{\"deleted_dashboard_id\":\"agm-reh-km8\"}\n"
+          },
+          "cookies": [],
+          "headers": [
+            {
+              "name": "content-type",
+              "value": "application/json"
+            }
+          ],
+          "headersSize": 516,
+          "httpVersion": "HTTP/1.1",
+          "redirectURL": "",
+          "status": 200,
+          "statusText": "OK"
+        },
+        "startedDateTime": "2023-09-12T19:51:41.256Z",
+        "time": 192
+      }
+    ],
+    "pages": [],
+    "version": "1.2"
+  }
+}
@@ -0,0 +1,64 @@
+/**
+ * Create a new dashboard with formula and function heatmap widget
+ */
+
+import { client, v1 } from "@datadog/datadog-api-client";
+
+const configuration = client.createConfiguration();
+const apiInstance = new v1.DashboardsApi(configuration);
+
+const params: v1.DashboardsApiCreateDashboardRequest = {
+  body: {
+    title: "Example-Dashboard",
+    widgets: [
+      {
+        layout: {
+          x: 0,
+          y: 0,
+          width: 47,
+          height: 15,
+        },
+        definition: {
+          title: "",
+          titleSize: "16",
+          titleAlign: "left",
+          time: {},
+          type: "heatmap",
+          requests: [
+            {
+              responseFormat: "timeseries",
+              queries: [
+                {
+                  dataSource: "metrics",
+                  name: "query1",
+                  query: "avg:system.cpu.user{*}",
+                },
+              ],
+              formulas: [
+                {
+                  formula: "query1",
+                },
+              ],
+              style: {
+                palette: "dog_classic",
+              },
+            },
+          ],
+        },
+      },
+    ],
+    templateVariables: [],
+    layoutType: "free",
+    isReadOnly: false,
+    notifyList: [],
+  },
+};
+
+apiInstance
+  .createDashboard(params)
+  .then((data: v1.Dashboard) => {
+    console.log(
+      "API called successfully. Returned data: " + JSON.stringify(data)
+    );
+  })
+  .catch((error: any) => console.error(error));
@@ -324,6 +324,17 @@ Feature: Dashboards
     And the response "widgets[0].definition.type" is equal to "event_timeline"
     And the response "widgets[0].definition.query" is equal to "status:error priority:all"
 
+  @team:DataDog/dashboards-backend
+  Scenario: Create a new dashboard with formula and function heatmap widget
+    Given new "CreateDashboard" request
+    And body with value {"title": "{{ unique }}", "widgets": [{"layout": {"x": 0, "y": 0, "width": 47, "height": 15}, "definition": {"title": "", "title_size": "16", "title_align": "left", "time": {}, "type": "heatmap", "requests": [{"response_format": "timeseries", "queries": [{"data_source": "metrics", "name": "query1", "query": "avg:system.cpu.user{*}"}], "formulas": [{"formula": "query1"}], "style": {"palette": "dog_classic"}}]}}], "template_variables": [], "layout_type": "free", "is_read_only": false, "notify_list": []}
+    When the request is sent
+    Then the response status is 200 OK
+    And the response "widgets[0].definition.type" is equal to "heatmap"
+    And the response "widgets[0].definition.requests[0].queries[0].query" is equal to "avg:system.cpu.user{*}"
+    And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "metrics"
+    And the response "widgets[0].definition.requests[0].style.palette" is equal to "dog_classic"
+
   @team:DataDog/dashboards-backend
   Scenario: Create a new dashboard with formulas and functions scatterplot widget
     Given new "CreateDashboard" request

@@ -4,8 +4,11 @@
  * Copyright 2020-Present Datadog, Inc.
  */
 import { EventQueryDefinition } from "./EventQueryDefinition";
+import { FormulaAndFunctionQueryDefinition } from "./FormulaAndFunctionQueryDefinition";
+import { FormulaAndFunctionResponseFormat } from "./FormulaAndFunctionResponseFormat";
 import { LogQueryDefinition } from "./LogQueryDefinition";
 import { ProcessQueryDefinition } from "./ProcessQueryDefinition";
+import { WidgetFormula } from "./WidgetFormula";
 import { WidgetStyle } from "./WidgetStyle";
 
 import { AttributeTypeMap } from "../../datadog-api-client-common/util";
@@ -22,6 +25,10 @@ export class HeatMapWidgetRequest {
    * The event query.
    */
   "eventQuery"?: EventQueryDefinition;
+  /**
+   * List of formulas that operate on queries.
+   */
+  "formulas"?: Array<WidgetFormula>;
   /**
    * The log query.
    */
@@ -42,6 +49,14 @@ export class HeatMapWidgetRequest {
    * Widget query.
    */
   "q"?: string;
+  /**
+   * List of queries that can be returned directly or used in formulas.
+   */
+  "queries"?: Array<FormulaAndFunctionQueryDefinition>;
+  /**
+   * Timeseries, scalar, or event list response. Event list response formats are supported by Geomap widgets.
+   */
+  "responseFormat"?: FormulaAndFunctionResponseFormat;
   /**
    * The log query.
    */
@@ -72,6 +87,10 @@ export class HeatMapWidgetRequest {
       baseName: "event_query",
       type: "EventQueryDefinition",
     },
+    formulas: {
+      baseName: "formulas",
+      type: "Array<WidgetFormula>",
+    },
     logQuery: {
       baseName: "log_query",
       type: "LogQueryDefinition",
@@ -92,6 +111,14 @@ export class HeatMapWidgetRequest {
       baseName: "q",
       type: "string",
     },
+    queries: {
+      baseName: "queries",
+      type: "Array<FormulaAndFunctionQueryDefinition>",
+    },
+    responseFormat: {
+      baseName: "response_format",
+      type: "FormulaAndFunctionResponseFormat",
+    },
     rumQuery: {
       baseName: "rum_query",
       type: "LogQueryDefinition",