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Regenerate client from commit 015355f6 of spec repo
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ci.datadog-api-spec committed Jul 23, 2024
1 parent fd73c26 commit cf364fb
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8 changes: 4 additions & 4 deletions .apigentools-info
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Expand Up @@ -4,13 +4,13 @@
"spec_versions": {
"v1": {
"apigentools_version": "1.6.6",
"regenerated": "2024-07-22 20:03:19.855082",
"spec_repo_commit": "cd020fa6"
"regenerated": "2024-07-23 15:33:48.760135",
"spec_repo_commit": "015355f6"
},
"v2": {
"apigentools_version": "1.6.6",
"regenerated": "2024-07-22 20:03:19.873734",
"spec_repo_commit": "cd020fa6"
"regenerated": "2024-07-23 15:33:48.778613",
"spec_repo_commit": "015355f6"
}
}
}
2 changes: 2 additions & 0 deletions .generator/schemas/v1/openapi.yaml
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Expand Up @@ -2867,6 +2867,7 @@ components:
- events
- ci_tests
- ci_pipelines
- incident_analytics
example: logs
type: string
x-enum-varnames:
Expand All @@ -2880,6 +2881,7 @@ components:
- EVENTS
- CI_TESTS
- CI_PIPELINES
- INCIDENT_ANALYTICS
FormulaAndFunctionMetricAggregation:
description: The aggregation methods available for metrics queries.
enum:
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22 changes: 12 additions & 10 deletions api/datadogV1/model_formula_and_function_events_data_source.go
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Expand Up @@ -15,16 +15,17 @@ type FormulaAndFunctionEventsDataSource string

// List of FormulaAndFunctionEventsDataSource.
const (
FORMULAANDFUNCTIONEVENTSDATASOURCE_LOGS FormulaAndFunctionEventsDataSource = "logs"
FORMULAANDFUNCTIONEVENTSDATASOURCE_SPANS FormulaAndFunctionEventsDataSource = "spans"
FORMULAANDFUNCTIONEVENTSDATASOURCE_NETWORK FormulaAndFunctionEventsDataSource = "network"
FORMULAANDFUNCTIONEVENTSDATASOURCE_RUM FormulaAndFunctionEventsDataSource = "rum"
FORMULAANDFUNCTIONEVENTSDATASOURCE_SECURITY_SIGNALS FormulaAndFunctionEventsDataSource = "security_signals"
FORMULAANDFUNCTIONEVENTSDATASOURCE_PROFILES FormulaAndFunctionEventsDataSource = "profiles"
FORMULAANDFUNCTIONEVENTSDATASOURCE_AUDIT FormulaAndFunctionEventsDataSource = "audit"
FORMULAANDFUNCTIONEVENTSDATASOURCE_EVENTS FormulaAndFunctionEventsDataSource = "events"
FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_TESTS FormulaAndFunctionEventsDataSource = "ci_tests"
FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_PIPELINES FormulaAndFunctionEventsDataSource = "ci_pipelines"
FORMULAANDFUNCTIONEVENTSDATASOURCE_LOGS FormulaAndFunctionEventsDataSource = "logs"
FORMULAANDFUNCTIONEVENTSDATASOURCE_SPANS FormulaAndFunctionEventsDataSource = "spans"
FORMULAANDFUNCTIONEVENTSDATASOURCE_NETWORK FormulaAndFunctionEventsDataSource = "network"
FORMULAANDFUNCTIONEVENTSDATASOURCE_RUM FormulaAndFunctionEventsDataSource = "rum"
FORMULAANDFUNCTIONEVENTSDATASOURCE_SECURITY_SIGNALS FormulaAndFunctionEventsDataSource = "security_signals"
FORMULAANDFUNCTIONEVENTSDATASOURCE_PROFILES FormulaAndFunctionEventsDataSource = "profiles"
FORMULAANDFUNCTIONEVENTSDATASOURCE_AUDIT FormulaAndFunctionEventsDataSource = "audit"
FORMULAANDFUNCTIONEVENTSDATASOURCE_EVENTS FormulaAndFunctionEventsDataSource = "events"
FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_TESTS FormulaAndFunctionEventsDataSource = "ci_tests"
FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_PIPELINES FormulaAndFunctionEventsDataSource = "ci_pipelines"
FORMULAANDFUNCTIONEVENTSDATASOURCE_INCIDENT_ANALYTICS FormulaAndFunctionEventsDataSource = "incident_analytics"
)

var allowedFormulaAndFunctionEventsDataSourceEnumValues = []FormulaAndFunctionEventsDataSource{
Expand All @@ -38,6 +39,7 @@ var allowedFormulaAndFunctionEventsDataSourceEnumValues = []FormulaAndFunctionEv
FORMULAANDFUNCTIONEVENTSDATASOURCE_EVENTS,
FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_TESTS,
FORMULAANDFUNCTIONEVENTSDATASOURCE_CI_PIPELINES,
FORMULAANDFUNCTIONEVENTSDATASOURCE_INCIDENT_ANALYTICS,
}

// GetAllowedValues reeturns the list of possible values.
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86 changes: 86 additions & 0 deletions examples/v1/dashboards/CreateDashboard_985012506.go
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@@ -0,0 +1,86 @@
// Create a new timeseries widget with incident_analytics data source

package main

import (
"context"
"encoding/json"
"fmt"
"os"

"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
body := datadogV1.Dashboard{
Title: "Example-Dashboard with incident_analytics datasource",
Widgets: []datadogV1.Widget{
{
Definition: datadogV1.WidgetDefinition{
TimeseriesWidgetDefinition: &datadogV1.TimeseriesWidgetDefinition{
Title: datadog.PtrString(""),
ShowLegend: datadog.PtrBool(true),
LegendLayout: datadogV1.TIMESERIESWIDGETLEGENDLAYOUT_AUTO.Ptr(),
LegendColumns: []datadogV1.TimeseriesWidgetLegendColumn{
datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_AVG,
datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_MIN,
datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_MAX,
datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_VALUE,
datadogV1.TIMESERIESWIDGETLEGENDCOLUMN_SUM,
},
Time: &datadogV1.WidgetTime{},
Type: datadogV1.TIMESERIESWIDGETDEFINITIONTYPE_TIMESERIES,
Requests: []datadogV1.TimeseriesWidgetRequest{
{
Formulas: []datadogV1.WidgetFormula{
{
Formula: "query1",
},
},
Queries: []datadogV1.FormulaAndFunctionQueryDefinition{
datadogV1.FormulaAndFunctionQueryDefinition{
FormulaAndFunctionEventQueryDefinition: &datadogV1.FormulaAndFunctionEventQueryDefinition{
DataSource: datadogV1.FORMULAANDFUNCTIONEVENTSDATASOURCE_INCIDENT_ANALYTICS,
Name: "query1",
Search: &datadogV1.FormulaAndFunctionEventQueryDefinitionSearch{
Query: "test_level:test",
},
Indexes: []string{
"*",
},
Compute: datadogV1.FormulaAndFunctionEventQueryDefinitionCompute{
Aggregation: datadogV1.FORMULAANDFUNCTIONEVENTAGGREGATION_COUNT,
},
GroupBy: []datadogV1.FormulaAndFunctionEventQueryGroupBy{},
}},
},
ResponseFormat: datadogV1.FORMULAANDFUNCTIONRESPONSEFORMAT_TIMESERIES.Ptr(),
Style: &datadogV1.WidgetRequestStyle{
Palette: datadog.PtrString("dog_classic"),
LineType: datadogV1.WIDGETLINETYPE_SOLID.Ptr(),
LineWidth: datadogV1.WIDGETLINEWIDTH_NORMAL.Ptr(),
},
DisplayType: datadogV1.WIDGETDISPLAYTYPE_LINE.Ptr(),
},
},
}},
},
},
LayoutType: datadogV1.DASHBOARDLAYOUTTYPE_ORDERED,
ReflowType: datadogV1.DASHBOARDREFLOWTYPE_AUTO.Ptr(),
}
ctx := datadog.NewDefaultContext(context.Background())
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV1.NewDashboardsApi(apiClient)
resp, r, err := api.CreateDashboard(ctx, body)

if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `DashboardsApi.CreateDashboard`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}

responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `DashboardsApi.CreateDashboard`:\n%s\n", responseContent)
}
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@@ -0,0 +1 @@
2024-07-23T14:59:59.215Z
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@@ -0,0 +1,44 @@
interactions:
- request:
body: |
{"layout_type":"ordered","reflow_type":"auto","title":"Test-Create_a_new_timeseries_widget_with_incident_analytics_data_source-1721746799 with incident_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":"incident_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"}}]}
form: {}
headers:
Accept:
- application/json
Content-Type:
- application/json
id: 0
method: POST
url: https://api.datadoghq.com/api/v1/dashboard
response:
body: '{"id":"r29-a2b-nhh","title":"Test-Create_a_new_timeseries_widget_with_incident_analytics_data_source-1721746799
with incident_analytics datasource","description":null,"author_handle":"frog@datadoghq.com","author_name":null,"layout_type":"ordered","url":"/dashboard/r29-a2b-nhh/test-createanewtimeserieswidgetwithincidentanalyticsdatasource-1721746799-with-i","is_read_only":false,"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":"incident_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":4216078110414841}],"notify_list":null,"created_at":"2024-07-23T14:59:59.491800+00:00","modified_at":"2024-07-23T14:59:59.491800+00:00","reflow_type":"auto","restricted_roles":[]}
'
code: 200
duration: 0ms
headers:
Content-Type:
- application/json
status: 200 OK
- request:
body: ''
form: {}
headers:
Accept:
- application/json
id: 1
method: DELETE
url: https://api.datadoghq.com/api/v1/dashboard/r29-a2b-nhh
response:
body: '{"deleted_dashboard_id":"r29-a2b-nhh"}
'
code: 200
duration: 0ms
headers:
Content-Type:
- application/json
status: 200 OK
version: 2
9 changes: 9 additions & 0 deletions tests/scenarios/features/v1/dashboards.feature
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Expand Up @@ -830,6 +830,15 @@ Feature: Dashboards
And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "ci_tests"
And the response "widgets[0].definition.requests[0].queries[0].search.query" is equal to "test_level:test"

@team:DataDog/dashboards-backend
Scenario: Create a new timeseries widget with incident_analytics data source
Given new "CreateDashboard" request
And body with value {"title":"{{ unique }} with incident_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":"incident_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 "incident_analytics"
And the response "widgets[0].definition.requests[0].queries[0].search.query" is equal to "test_level:test"

@generated @skip @team:DataDog/dashboards-backend
Scenario: Create a shared dashboard returns "Bad Request" response
Given new "CreatePublicDashboard" request
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