Add ci_pipelines enum to FormulaAndFunctionEventsDataSource

.apigentools-info

@@ -4,13 +4,13 @@
     "spec_versions": {
         "v1": {
             "apigentools_version": "1.6.4",
-            "regenerated": "2023-03-02 15:38:19.580195",
-            "spec_repo_commit": "0ec7fe9d"
+            "regenerated": "2023-03-02 16:19:55.137036",
+            "spec_repo_commit": "e71b6cea"
         },
         "v2": {
             "apigentools_version": "1.6.4",
-            "regenerated": "2023-03-02 15:38:19.596522",
-            "spec_repo_commit": "0ec7fe9d"
+            "regenerated": "2023-03-02 16:19:55.153760",
+            "spec_repo_commit": "e71b6cea"
         }
     }
 }

.generator/schemas/v1/openapi.yaml

@@ -2518,6 +2518,7 @@ components:
       - audit
       - events
       - ci_tests
+      - ci_pipelines
       example: logs
       type: string
       x-enum-varnames:
@@ -2530,6 +2531,7 @@ components:
       - AUDIT
       - EVENTS
       - CI_TESTS
+      - CI_PIPELINES
     FormulaAndFunctionMetricAggregation:
       description: The aggregation methods available for metrics queries.
       enum:

cassettes/features/v1/dashboards/Create-a-new-timeseries-widget-with-ci-pipelines-data-source.frozen

@@ -0,0 +1 @@
+2023-03-02T15:41:16.500Z

examples/v1/dashboards/CreateDashboard_2800096921.rb

@@ -0,0 +1,62 @@
+# Create a new timeseries widget with ci_pipelines data source
+
+require "datadog_api_client"
+api_instance = DatadogAPIClient::V1::DashboardsAPI.new
+
+body = DatadogAPIClient::V1::Dashboard.new({
+  title: "Example-Create_a_new_timeseries_widget_with_ci_pipelines_data_source with ci_pipelines datasource",
+  widgets: [
+    DatadogAPIClient::V1::Widget.new({
+      definition: DatadogAPIClient::V1::TimeseriesWidgetDefinition.new({
+        title: "",
+        show_legend: true,
+        legend_layout: DatadogAPIClient::V1::TimeseriesWidgetLegendLayout::AUTO,
+        legend_columns: [
+          DatadogAPIClient::V1::TimeseriesWidgetLegendColumn::AVG,
+          DatadogAPIClient::V1::TimeseriesWidgetLegendColumn::MIN,
+          DatadogAPIClient::V1::TimeseriesWidgetLegendColumn::MAX,
+          DatadogAPIClient::V1::TimeseriesWidgetLegendColumn::VALUE,
+          DatadogAPIClient::V1::TimeseriesWidgetLegendColumn::SUM,
+        ],
+        time: DatadogAPIClient::V1::WidgetTime.new({}),
+        type: DatadogAPIClient::V1::TimeseriesWidgetDefinitionType::TIMESERIES,
+        requests: [
+          DatadogAPIClient::V1::TimeseriesWidgetRequest.new({
+            formulas: [
+              DatadogAPIClient::V1::WidgetFormula.new({
+                formula: "query1",
+              }),
+            ],
+            queries: [
+              DatadogAPIClient::V1::FormulaAndFunctionEventQueryDefinition.new({
+                data_source: DatadogAPIClient::V1::FormulaAndFunctionEventsDataSource::CI_PIPELINES,
+                name: "query1",
+                search: DatadogAPIClient::V1::FormulaAndFunctionEventQueryDefinitionSearch.new({
+                  query: "ci_level:job",
+                }),
+                indexes: [
+                  "*",
+                ],
+                compute: DatadogAPIClient::V1::FormulaAndFunctionEventQueryDefinitionCompute.new({
+                  aggregation: DatadogAPIClient::V1::FormulaAndFunctionEventAggregation::COUNT,
+                  metric: "@ci.queue_time",
+                }),
+                group_by: [],
+              }),
+            ],
+            response_format: DatadogAPIClient::V1::FormulaAndFunctionResponseFormat::TIMESERIES,
+            style: DatadogAPIClient::V1::WidgetRequestStyle.new({
+              palette: "dog_classic",
+              line_type: DatadogAPIClient::V1::WidgetLineType::SOLID,
+              line_width: DatadogAPIClient::V1::WidgetLineWidth::NORMAL,
+            }),
+            display_type: DatadogAPIClient::V1::WidgetDisplayType::LINE,
+          }),
+        ],
+      }),
+    }),
+  ],
+  layout_type: DatadogAPIClient::V1::DashboardLayoutType::ORDERED,
+  reflow_type: DatadogAPIClient::V1::DashboardReflowType::AUTO,
+})
+p api_instance.create_dashboard(body)

features/v1/dashboards.feature

@@ -620,6 +620,15 @@ Feature: Dashboards
     And the response "widgets[0].definition.type" is equal to "trace_service"
     And the response "widgets[0].definition.env" is equal to "none"
 
+  @team:DataDog/dashboards
+  Scenario: Create a new timeseries widget with ci_pipelines data source
+    Given new "CreateDashboard" request
+    And body with value {"title":"{{ unique }} with ci_pipelines 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":"ci_pipelines","name":"query1","search":{"query":"ci_level:job"},"indexes":["*"],"compute":{"aggregation":"count", "metric": "@ci.queue_time"},"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 "ci_pipelines"
+    And the response "widgets[0].definition.requests[0].queries[0].search.query" is equal to "ci_level:job"
+
   @team:DataDog/dashboards
   Scenario: Create a new timeseries widget with ci_tests data source
     Given new "CreateDashboard" request

lib/datadog_api_client/v1/models/formula_and_function_events_data_source.rb

@@ -30,5 +30,6 @@ class FormulaAndFunctionEventsDataSource
     AUDIT = "audit".freeze
     EVENTS = "events".freeze
     CI_TESTS = "ci_tests".freeze
+    CI_PIPELINES = "ci_pipelines".freeze
   end
 end