Add product analytics to FormulaAndFunctionEventsDataSource

.generator/schemas/v1/openapi.yaml

@@ -2875,6 +2875,7 @@ components:
       - ci_tests
       - ci_pipelines
       - incident_analytics
+      - product_analytics
       example: logs
       type: string
       x-enum-varnames:
@@ -2889,6 +2890,7 @@ components:
       - CI_TESTS
       - CI_PIPELINES
       - INCIDENT_ANALYTICS
+      - PRODUCT_ANALYTICS
     FormulaAndFunctionMetricAggregation:
       description: The aggregation methods available for metrics queries.
       enum:

examples/v1_dashboards_CreateDashboard_607525069.rs

@@ -0,0 +1,103 @@
+// Create a new timeseries widget with product_analytics data source
+use datadog_api_client::datadog;
+use datadog_api_client::datadogV1::api_dashboards::DashboardsAPI;
+use datadog_api_client::datadogV1::model::Dashboard;
+use datadog_api_client::datadogV1::model::DashboardLayoutType;
+use datadog_api_client::datadogV1::model::DashboardReflowType;
+use datadog_api_client::datadogV1::model::FormulaAndFunctionEventAggregation;
+use datadog_api_client::datadogV1::model::FormulaAndFunctionEventQueryDefinition;
+use datadog_api_client::datadogV1::model::FormulaAndFunctionEventQueryDefinitionCompute;
+use datadog_api_client::datadogV1::model::FormulaAndFunctionEventQueryDefinitionSearch;
+use datadog_api_client::datadogV1::model::FormulaAndFunctionEventsDataSource;
+use datadog_api_client::datadogV1::model::FormulaAndFunctionQueryDefinition;
+use datadog_api_client::datadogV1::model::FormulaAndFunctionResponseFormat;
+use datadog_api_client::datadogV1::model::TimeseriesWidgetDefinition;
+use datadog_api_client::datadogV1::model::TimeseriesWidgetDefinitionType;
+use datadog_api_client::datadogV1::model::TimeseriesWidgetLegendColumn;
+use datadog_api_client::datadogV1::model::TimeseriesWidgetLegendLayout;
+use datadog_api_client::datadogV1::model::TimeseriesWidgetRequest;
+use datadog_api_client::datadogV1::model::Widget;
+use datadog_api_client::datadogV1::model::WidgetDefinition;
+use datadog_api_client::datadogV1::model::WidgetDisplayType;
+use datadog_api_client::datadogV1::model::WidgetFormula;
+use datadog_api_client::datadogV1::model::WidgetLegacyLiveSpan;
+use datadog_api_client::datadogV1::model::WidgetLineType;
+use datadog_api_client::datadogV1::model::WidgetLineWidth;
+use datadog_api_client::datadogV1::model::WidgetRequestStyle;
+use datadog_api_client::datadogV1::model::WidgetTime;
+
+#[tokio::main]
+async fn main() {
+    let body =
+        Dashboard::new(
+            DashboardLayoutType::ORDERED,
+            "Example-Dashboard with product_analytics datasource".to_string(),
+            vec![
+                Widget::new(
+                    WidgetDefinition::TimeseriesWidgetDefinition(
+                        Box::new(
+                            TimeseriesWidgetDefinition::new(
+                                vec![
+                                    TimeseriesWidgetRequest::new()
+                                        .display_type(WidgetDisplayType::LINE)
+                                        .formulas(vec![WidgetFormula::new("query1".to_string())])
+                                        .queries(
+                                            vec![
+                                                FormulaAndFunctionQueryDefinition
+                                                ::FormulaAndFunctionEventQueryDefinition(
+                                                    Box::new(
+                                                        FormulaAndFunctionEventQueryDefinition::new(
+                                                            FormulaAndFunctionEventQueryDefinitionCompute::new(
+                                                                FormulaAndFunctionEventAggregation::COUNT,
+                                                            ),
+                                                            FormulaAndFunctionEventsDataSource::PRODUCT_ANALYTICS,
+                                                            "query1".to_string(),
+                                                        )
+                                                            .group_by(vec![])
+                                                            .indexes(vec!["*".to_string()])
+                                                            .search(
+                                                                FormulaAndFunctionEventQueryDefinitionSearch::new(
+                                                                    "test_level:test".to_string(),
+                                                                ),
+                                                            ),
+                                                    ),
+                                                )
+                                            ],
+                                        )
+                                        .response_format(FormulaAndFunctionResponseFormat::TIMESERIES)
+                                        .style(
+                                            WidgetRequestStyle::new()
+                                                .line_type(WidgetLineType::SOLID)
+                                                .line_width(WidgetLineWidth::NORMAL)
+                                                .palette("dog_classic".to_string()),
+                                        )
+                                ],
+                                TimeseriesWidgetDefinitionType::TIMESERIES,
+                            )
+                                .legend_columns(
+                                    vec![
+                                        TimeseriesWidgetLegendColumn::AVG,
+                                        TimeseriesWidgetLegendColumn::MIN,
+                                        TimeseriesWidgetLegendColumn::MAX,
+                                        TimeseriesWidgetLegendColumn::VALUE,
+                                        TimeseriesWidgetLegendColumn::SUM
+                                    ],
+                                )
+                                .legend_layout(TimeseriesWidgetLegendLayout::AUTO)
+                                .show_legend(true)
+                                .time(WidgetTime::WidgetLegacyLiveSpan(Box::new(WidgetLegacyLiveSpan::new())))
+                                .title("".to_string()),
+                        ),
+                    ),
+                )
+            ],
+        ).reflow_type(DashboardReflowType::AUTO);
+    let configuration = datadog::Configuration::new();
+    let api = DashboardsAPI::with_config(configuration);
+    let resp = api.create_dashboard(body).await;
+    if let Ok(value) = resp {
+        println!("{:#?}", value);
+    } else {
+        println!("{:#?}", resp.unwrap_err());
+    }
+}

src/datadogV1/model/model_formula_and_function_events_data_source.rs

@@ -18,6 +18,7 @@ pub enum FormulaAndFunctionEventsDataSource {
     CI_TESTS,
     CI_PIPELINES,
     INCIDENT_ANALYTICS,
+    PRODUCT_ANALYTICS,
     UnparsedObject(crate::datadog::UnparsedObject),
 }
 
@@ -35,6 +36,7 @@ impl ToString for FormulaAndFunctionEventsDataSource {
             Self::CI_TESTS => String::from("ci_tests"),
             Self::CI_PIPELINES => String::from("ci_pipelines"),
             Self::INCIDENT_ANALYTICS => String::from("incident_analytics"),
+            Self::PRODUCT_ANALYTICS => String::from("product_analytics"),
             Self::UnparsedObject(v) => v.value.to_string(),
         }
     }
@@ -70,6 +72,7 @@ impl<'de> Deserialize<'de> for FormulaAndFunctionEventsDataSource {
             "ci_tests" => Self::CI_TESTS,
             "ci_pipelines" => Self::CI_PIPELINES,
             "incident_analytics" => Self::INCIDENT_ANALYTICS,
+            "product_analytics" => Self::PRODUCT_ANALYTICS,
             _ => Self::UnparsedObject(crate::datadog::UnparsedObject {
                 value: serde_json::Value::String(s.into()),
             }),

tests/scenarios/cassettes/v1/dashboards/Create-a-new-timeseries-widget-with-product-analytics-data-source.frozen

@@ -0,0 +1 @@
+2025-09-18T18:51:17.951Z

tests/scenarios/cassettes/v1/dashboards/Create-a-new-timeseries-widget-with-product-analytics-data-source.json

@@ -0,0 +1,67 @@
+{
+  "http_interactions": [
+    {
+      "request": {
+        "body": {
+          "string": "{\"layout_type\":\"ordered\",\"reflow_type\":\"auto\",\"title\":\"Test-Create_a_new_timeseries_widget_with_product_analytics_data_source-1758221477 with product_analytics datasource\",\"widgets\":[{\"definition\":{\"legend_columns\":[\"avg\",\"min\",\"max\",\"value\",\"sum\"],\"legend_layout\":\"auto\",\"requests\":[{\"display_type\":\"line\",\"formulas\":[{\"formula\":\"query1\"}],\"queries\":[{\"compute\":{\"aggregation\":\"count\"},\"data_source\":\"product_analytics\",\"group_by\":[],\"indexes\":[\"*\"],\"name\":\"query1\",\"search\":{\"query\":\"test_level:test\"}}],\"response_format\":\"timeseries\",\"style\":{\"line_type\":\"solid\",\"line_width\":\"normal\",\"palette\":\"dog_classic\"}}],\"show_legend\":true,\"time\":{},\"title\":\"\",\"type\":\"timeseries\"}}]}",
+          "encoding": null
+        },
+        "headers": {
+          "Accept": [
+            "application/json"
+          ],
+          "Content-Type": [
+            "application/json"
+          ]
+        },
+        "method": "post",
+        "uri": "https://api.datadoghq.com/api/v1/dashboard"
+      },
+      "response": {
+        "body": {
+          "string": "{\"id\":\"zvr-td5-ppm\",\"title\":\"Test-Create_a_new_timeseries_widget_with_product_analytics_data_source-1758221477 with product_analytics datasource\",\"description\":null,\"author_handle\":\"9919ec9b-ebc7-49ee-8dc8-03626e717cca\",\"author_name\":\"CI Account\",\"layout_type\":\"ordered\",\"url\":\"/dashboard/zvr-td5-ppm/test-createanewtimeserieswidgetwithproductanalyticsdatasource-1758221477-with-pr\",\"template_variables\":null,\"widgets\":[{\"definition\":{\"legend_columns\":[\"avg\",\"min\",\"max\",\"value\",\"sum\"],\"legend_layout\":\"auto\",\"requests\":[{\"display_type\":\"line\",\"formulas\":[{\"formula\":\"query1\"}],\"queries\":[{\"compute\":{\"aggregation\":\"count\"},\"data_source\":\"product_analytics\",\"group_by\":[],\"indexes\":[\"*\"],\"name\":\"query1\",\"search\":{\"query\":\"test_level:test\"}}],\"response_format\":\"timeseries\",\"style\":{\"line_type\":\"solid\",\"line_width\":\"normal\",\"palette\":\"dog_classic\"}}],\"show_legend\":true,\"time\":{},\"title\":\"\",\"type\":\"timeseries\"},\"id\":6058978575853641}],\"notify_list\":null,\"created_at\":\"2025-09-18T18:51:18.107135+00:00\",\"modified_at\":\"2025-09-18T18:51:18.107135+00:00\",\"reflow_type\":\"auto\",\"restricted_roles\":[]}",
+          "encoding": null
+        },
+        "headers": {
+          "Content-Type": [
+            "application/json"
+          ]
+        },
+        "status": {
+          "code": 200,
+          "message": "OK"
+        }
+      },
+      "recorded_at": "Thu, 18 Sep 2025 18:51:17 GMT"
+    },
+    {
+      "request": {
+        "body": "",
+        "headers": {
+          "Accept": [
+            "application/json"
+          ]
+        },
+        "method": "delete",
+        "uri": "https://api.datadoghq.com/api/v1/dashboard/zvr-td5-ppm"
+      },
+      "response": {
+        "body": {
+          "string": "{\"deleted_dashboard_id\":\"zvr-td5-ppm\"}\n",
+          "encoding": null
+        },
+        "headers": {
+          "Content-Type": [
+            "application/json"
+          ]
+        },
+        "status": {
+          "code": 200,
+          "message": "OK"
+        }
+      },
+      "recorded_at": "Thu, 18 Sep 2025 18:51:17 GMT"
+    }
+  ],
+  "recorded_with": "VCR 6.0.0"
+}

tests/scenarios/features/v1/dashboards.feature

@@ -950,6 +950,15 @@ Feature: Dashboards
     And the response "widgets[0].definition.time.value" is equal to 8
     And the response "widgets[0].definition.time.hide_incomplete_cost_data" is equal to true
 
+  @team:DataDog/dashboards-backend
+  Scenario: Create a new timeseries widget with product_analytics data source
+    Given new "CreateDashboard" request
+    And body with value {"title":"{{ unique }} with product_analytics datasource","widgets":[{"definition":{"title":"","show_legend":true,"legend_layout":"auto","legend_columns":["avg","min","max","value","sum"],"time":{},"type":"timeseries","requests":[{"formulas":[{"formula":"query1"}],"queries":[{"data_source":"product_analytics","name":"query1","search":{"query":"test_level:test"},"indexes":["*"],"compute":{"aggregation":"count"},"group_by":[]}],"response_format":"timeseries","style":{"palette":"dog_classic","line_type":"solid","line_width":"normal"},"display_type":"line"}]}}],"layout_type":"ordered","reflow_type":"auto"}
+    When the request is sent
+    Then the response status is 200 OK
+    And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "product_analytics"
+    And the response "widgets[0].definition.requests[0].queries[0].search.query" is equal to "test_level:test"
+
   @generated @skip @team:DataDog/reporting-and-sharing
   Scenario: Create a shared dashboard returns "Bad Request" response
     Given new "CreatePublicDashboard" request