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api-clients-generation-pipeline[bot]ci.datadog-api-spec
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Add product analytics to FormulaAndFunctionEventsDataSource (DataDog#3354)
Co-authored-by: ci.datadog-api-spec <packages@datadoghq.com>
1 parent 0dd5e95 commit 2c84816

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‎.generator/schemas/v1/openapi.yaml‎

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

‎api/datadogV1/model_formula_and_function_events_data_source.go‎

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FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_TESTS FormulaAndFunctionEventsDataSource = "ci_tests"
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FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_PIPELINES FormulaAndFunctionEventsDataSource = "ci_pipelines"
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FORMULAANDFUNCTIONEVENTSDATASOURCE_INCIDENT_ANALYTICS FormulaAndFunctionEventsDataSource = "incident_analytics"
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FORMULAANDFUNCTIONEVENTSDATASOURCE_PRODUCT_ANALYTICS FormulaAndFunctionEventsDataSource = "product_analytics"
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)
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var allowedFormulaAndFunctionEventsDataSourceEnumValues = []FormulaAndFunctionEventsDataSource{
@@ -40,6 +41,7 @@ var allowedFormulaAndFunctionEventsDataSourceEnumValues = []FormulaAndFunctionEv
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FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_TESTS,
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FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_PIPELINES,
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FORMULAANDFUNCTIONEVENTSDATASOURCE_INCIDENT_ANALYTICS,
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FORMULAANDFUNCTIONEVENTSDATASOURCE_PRODUCT_ANALYTICS,
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}
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// GetAllowedValues reeturns the list of possible values.

‎examples/v1/dashboards/CreateDashboard_607525069.go‎

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// Create a new timeseries widget with product_analytics data source
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package main
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import (
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"context"
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"encoding/json"
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"fmt"
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"os"
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"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
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"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
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)
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func main() {
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body := datadogV1.Dashboard{
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Title: "Example-Dashboard with product_analytics datasource",
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Widgets: []datadogV1.Widget{
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{
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Definition: datadogV1.WidgetDefinition{
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TimeseriesWidgetDefinition: &datadogV1.TimeseriesWidgetDefinition{
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Title: datadog.PtrString(""),
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ShowLegend: datadog.PtrBool(true),
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LegendLayout: datadogV1.TIMESERIESWIDGETLEGENDLAYOUT_AUTO.Ptr(),
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LegendColumns: []datadogV1.TimeseriesWidgetLegendColumn{
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datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_AVG,
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datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_MIN,
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datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_MAX,
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datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_VALUE,
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datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_SUM,
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},
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Time: &datadogV1.WidgetTime{
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WidgetLegacyLiveSpan: &datadogV1.WidgetLegacyLiveSpan{}},
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Type: datadogV1.TIMESERIESWIDGETDEFINITIONTYPE_TIMESERIES,
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Requests: []datadogV1.TimeseriesWidgetRequest{
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{
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Formulas: []datadogV1.WidgetFormula{
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{
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Formula: "query1",
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},
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},
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Queries: []datadogV1.FormulaAndFunctionQueryDefinition{
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datadogV1.FormulaAndFunctionQueryDefinition{
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FormulaAndFunctionEventQueryDefinition: &datadogV1.FormulaAndFunctionEventQueryDefinition{
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DataSource: datadogV1.FORMULAANDFUNCTIONEVENTSDATASOURCE_PRODUCT_ANALYTICS,
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Name: "query1",
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Search: &datadogV1.FormulaAndFunctionEventQueryDefinitionSearch{
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Query: "test_level:test",
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},
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Indexes: []string{
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"*",
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},
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Compute: datadogV1.FormulaAndFunctionEventQueryDefinitionCompute{
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Aggregation: datadogV1.FORMULAANDFUNCTIONEVENTAGGREGATION_COUNT,
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},
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GroupBy: []datadogV1.FormulaAndFunctionEventQueryGroupBy{},
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}},
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},
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ResponseFormat: datadogV1.FORMULAANDFUNCTIONRESPONSEFORMAT_TIMESERIES.Ptr(),
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Style: &datadogV1.WidgetRequestStyle{
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Palette: datadog.PtrString("dog_classic"),
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LineType: datadogV1.WIDGETLINETYPE_SOLID.Ptr(),
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LineWidth: datadogV1.WIDGETLINEWIDTH_NORMAL.Ptr(),
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},
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DisplayType: datadogV1.WIDGETDISPLAYTYPE_LINE.Ptr(),
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},
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},
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}},
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},
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},
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LayoutType: datadogV1.DASHBOARDLAYOUTTYPE_ORDERED,
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ReflowType: datadogV1.DASHBOARDREFLOWTYPE_AUTO.Ptr(),
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}
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ctx := datadog.NewDefaultContext(context.Background())
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configuration := datadog.NewConfiguration()
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apiClient := datadog.NewAPIClient(configuration)
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api := datadogV1.NewDashboardsApi(apiClient)
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resp, r, err := api.CreateDashboard(ctx, body)
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if err != nil {
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fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.CreateDashboard`: %v\n", err)
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fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
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}
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responseContent, _ := json.MarshalIndent(resp, "", " ")
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fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.CreateDashboard`:\n%s\n", responseContent)
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}

‎tests/scenarios/cassettes/TestScenarios/v1/Feature_Dashboards/Scenario_Create_a_new_timeseries_widget_with_product_analytics_data_source.freeze‎

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2025-09-18T18:51:17.951Z

‎tests/scenarios/cassettes/TestScenarios/v1/Feature_Dashboards/Scenario_Create_a_new_timeseries_widget_with_product_analytics_data_source.yaml‎

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interactions:
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- request:
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body: |
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{"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"}}]}
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form: {}
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headers:
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Accept:
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- application/json
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Content-Type:
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- application/json
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id: 0
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method: POST
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url: https://api.datadoghq.com/api/v1/dashboard
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response:
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body: '{"id":"zvr-td5-ppm","title":"Test-Create_a_new_timeseries_widget_with_product_analytics_data_source-1758221477
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with product_analytics datasource","description":null,"author_handle":"9919ec9b-ebc7-49ee-8dc8-03626e717cca","author_name":"CI
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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":[]}'
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code: 200
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duration: 0ms
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headers:
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Content-Type:
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- application/json
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status: 200 OK
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- request:
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body: ''
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form: {}
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headers:
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Accept:
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- application/json
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id: 1
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method: DELETE
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url: https://api.datadoghq.com/api/v1/dashboard/zvr-td5-ppm
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response:
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body: '{"deleted_dashboard_id":"zvr-td5-ppm"}
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'
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code: 200
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duration: 0ms
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headers:
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Content-Type:
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- application/json
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status: 200 OK
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version: 2

‎tests/scenarios/features/v1/dashboards.feature‎

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And the response "widgets[0].definition.time.value" is equal to 8
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And the response "widgets[0].definition.time.hide_incomplete_cost_data" is equal to true
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@team:DataDog/dashboards-backend
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Scenario: Create a new timeseries widget with product_analytics data source
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Given new "CreateDashboard" request
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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"}
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When the request is sent
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Then the response status is 200 OK
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And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "product_analytics"
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And the response "widgets[0].definition.requests[0].queries[0].search.query" is equal to "test_level:test"
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@generated @skip @team:DataDog/reporting-and-sharing
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Scenario: Create a shared dashboard returns "Bad Request" response
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Given new "CreatePublicDashboard" request

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