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Regenerate client from commit cbddd387 of spec repo
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‎.apigentools-info

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"spec_versions": {
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"v1": {
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"apigentools_version": "1.6.5",
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"regenerated": "2023-07-17 14:34:07.547534",
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"spec_repo_commit": "e70d9c5c"
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"regenerated": "2023-07-18 13:52:24.256316",
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"spec_repo_commit": "cbddd387"
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},
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"v2": {
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"apigentools_version": "1.6.5",
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"regenerated": "2023-07-17 14:34:07.560968",
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"spec_repo_commit": "e70d9c5c"
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"regenerated": "2023-07-18 13:52:24.269927",
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"spec_repo_commit": "cbddd387"
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}
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}
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}

‎.generator/schemas/v1/openapi.yaml

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@@ -19371,11 +19371,13 @@ components:
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- area
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- bars
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- line
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- overlay
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type: string
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x-enum-varnames:
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- AREA
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- BARS
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- LINE
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- OVERLAY
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WidgetEvent:
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description: 'Event overlay control options.
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‎cassettes/v1/Dashboards_1335235736/Create-a-new-dashboard-with-a-timeseries-widget-and-an-overlay-request_369723516/frozen.json

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"2023-07-14T16:50:52.704Z"

‎cassettes/v1/Dashboards_1335235736/Create-a-new-dashboard-with-a-timeseries-widget-and-an-overlay-request_369723516/recording.har

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{
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"log": {
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"_recordingName": "Dashboards/Create a new dashboard with a timeseries widget and an overlay request",
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"creator": {
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"comment": "persister:fs",
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"name": "Polly.JS",
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"version": "6.0.5"
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},
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"entries": [
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{
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"_id": "19fdfef99ee2610df46d0fa67b561938",
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"_order": 0,
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"cache": {},
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"request": {
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"bodySize": 576,
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"cookies": [],
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"headers": [
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{
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"_fromType": "array",
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"name": "accept",
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"value": "application/json"
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},
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{
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"_fromType": "array",
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"name": "content-type",
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"value": "application/json"
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}
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],
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"headersSize": 559,
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"httpVersion": "HTTP/1.1",
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"method": "POST",
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"postData": {
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"mimeType": "application/json",
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"params": [],
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"text": "{\"layout_type\":\"ordered\",\"title\":\"Test-Create_a_new_dashboard_with_a_timeseries_widget_and_an_overlay_request-1689353452\",\"widgets\":[{\"definition\":{\"requests\":[{\"display_type\":\"line\",\"on_right_yaxis\":false,\"queries\":[{\"data_source\":\"metrics\",\"name\":\"mymetric\",\"query\":\"avg:system.cpu.user{*}\"}],\"response_format\":\"timeseries\"},{\"display_type\":\"overlay\",\"queries\":[{\"data_source\":\"metrics\",\"name\":\"mymetricoverlay\",\"query\":\"avg:system.cpu.user{*}\"}],\"response_format\":\"timeseries\",\"style\":{\"line_type\":\"solid\",\"line_width\":\"normal\",\"palette\":\"purple\"}}],\"type\":\"timeseries\"}}]}"
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},
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"queryString": [],
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"url": "https://api.datadoghq.com/api/v1/dashboard"
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},
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"response": {
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"bodySize": 985,
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"content": {
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"mimeType": "application/json",
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"size": 985,
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"text": "{\"id\":\"56a-eq2-76i\",\"title\":\"Test-Create_a_new_dashboard_with_a_timeseries_widget_and_an_overlay_request-1689353452\",\"description\":null,\"author_handle\":\"frog@datadoghq.com\",\"author_name\":null,\"layout_type\":\"ordered\",\"url\":\"/dashboard/56a-eq2-76i/test-createanewdashboardwithatimeserieswidgetandanoverlayrequest-1689353452\",\"is_read_only\":false,\"template_variables\":null,\"widgets\":[{\"definition\":{\"requests\":[{\"display_type\":\"line\",\"on_right_yaxis\":false,\"queries\":[{\"data_source\":\"metrics\",\"name\":\"mymetric\",\"query\":\"avg:system.cpu.user{*}\"}],\"response_format\":\"timeseries\"},{\"display_type\":\"overlay\",\"queries\":[{\"data_source\":\"metrics\",\"name\":\"mymetricoverlay\",\"query\":\"avg:system.cpu.user{*}\"}],\"response_format\":\"timeseries\",\"style\":{\"line_type\":\"solid\",\"line_width\":\"normal\",\"palette\":\"purple\"}}],\"type\":\"timeseries\"},\"id\":4582756152438811}],\"notify_list\":null,\"created_at\":\"2023-07-14T16:50:52.916992+00:00\",\"modified_at\":\"2023-07-14T16:50:52.916992+00:00\",\"restricted_roles\":[]}\n"
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},
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"cookies": [],
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"headers": [
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{
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"name": "content-type",
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"value": "application/json"
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}
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],
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"headersSize": 517,
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"httpVersion": "HTTP/1.1",
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"redirectURL": "",
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"status": 200,
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"statusText": "OK"
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},
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"startedDateTime": "2023-07-14T16:50:52.707Z",
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"time": 267
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},
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{
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"_id": "7cb02329294e467416086e8b0f168618",
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"_order": 0,
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"cache": {},
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"request": {
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"bodySize": 0,
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"cookies": [],
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"headers": [
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{
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"_fromType": "array",
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"name": "accept",
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"value": "application/json"
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}
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],
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"headersSize": 520,
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"httpVersion": "HTTP/1.1",
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"method": "DELETE",
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"queryString": [],
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"url": "https://api.datadoghq.com/api/v1/dashboard/56a-eq2-76i"
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},
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"response": {
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"bodySize": 39,
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"content": {
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"mimeType": "application/json",
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"size": 39,
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"text": "{\"deleted_dashboard_id\":\"56a-eq2-76i\"}\n"
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},
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"cookies": [],
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"headers": [
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{
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"name": "content-type",
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"value": "application/json"
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}
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],
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"headersSize": 516,
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"httpVersion": "HTTP/1.1",
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"redirectURL": "",
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"status": 200,
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"statusText": "OK"
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},
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"startedDateTime": "2023-07-14T16:50:52.983Z",
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"time": 186
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}
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],
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"pages": [],
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"version": "1.2"
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}
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}

‎examples/v1/dashboards/CreateDashboard_2261785072.ts

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/**
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* Create a new dashboard with a timeseries widget and an overlay request
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*/
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import { client, v1 } from "@datadog/datadog-api-client";
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const configuration = client.createConfiguration();
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const apiInstance = new v1.DashboardsApi(configuration);
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const params: v1.DashboardsApiCreateDashboardRequest = {
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body: {
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layoutType: "ordered",
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title: "Example-Dashboard",
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widgets: [
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{
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definition: {
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type: "timeseries",
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requests: [
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{
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onRightYaxis: false,
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queries: [
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{
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dataSource: "metrics",
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name: "mymetric",
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query: "avg:system.cpu.user{*}",
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},
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],
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responseFormat: "timeseries",
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displayType: "line",
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},
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{
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responseFormat: "timeseries",
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queries: [
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{
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dataSource: "metrics",
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name: "mymetricoverlay",
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query: "avg:system.cpu.user{*}",
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},
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],
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style: {
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palette: "purple",
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lineType: "solid",
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lineWidth: "normal",
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},
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displayType: "overlay",
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},
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],
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},
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},
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],
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},
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};
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apiInstance
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.createDashboard(params)
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.then((data: v1.Dashboard) => {
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console.log(
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"API called successfully. Returned data: " + JSON.stringify(data)
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);
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})
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.catch((error: any) => console.error(error));

‎features/v1/dashboards.feature

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And the response "widgets[0].definition.requests[0].response_format" is equal to "scalar"
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And the response "widgets[0].definition.requests[0].queries[0].query" is equal to "sum:my.cool.count.metric{*}"
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@team:DataDog/dashboards-backend
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Scenario: Create a new dashboard with a timeseries widget and an overlay request
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Given new "CreateDashboard" request
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And body with value {"layout_type": "ordered", "title": "{{ unique }}", "widgets": [{"definition": {"type": "timeseries", "requests": [{"on_right_yaxis": false, "queries": [{"data_source": "metrics", "name": "mymetric", "query": "avg:system.cpu.user{*}"}], "response_format": "timeseries", "display_type": "line"}, {"response_format": "timeseries", "queries": [{"data_source": "metrics", "name": "mymetricoverlay", "query": "avg:system.cpu.user{*}"}], "style": {"palette": "purple", "line_type": "solid", "line_width": "normal"}, "display_type": "overlay"}]}}]}
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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].response_format" is equal to "timeseries"
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And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "metrics"
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And the response "widgets[0].definition.requests[0].queries[0].name" is equal to "mymetric"
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And the response "widgets[0].definition.requests[0].queries[0].query" is equal to "avg:system.cpu.user{*}"
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And the response "widgets[0].definition.requests[1].display_type" is equal to "overlay"
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And the response "widgets[0].definition.requests[1].queries[0].query" is equal to "avg:system.cpu.user{*}"
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And the response "widgets[0].definition.requests[1].queries[0].name" is equal to "mymetricoverlay"
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@team:DataDog/dashboards-backend
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Scenario: Create a new dashboard with a timeseries widget using formulas and functions cloud cost query
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Given new "CreateDashboard" request

‎packages/datadog-api-client-v1/models/ObjectSerializer.ts

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WidgetColorPreference: ["background", "text"],
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WidgetComparator: [">", ">=", "<", "<="],
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WidgetCompareTo: ["hour_before", "day_before", "week_before", "month_before"],
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WidgetDisplayType: ["area", "bars", "line"],
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WidgetDisplayType: ["area", "bars", "line", "overlay"],
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WidgetEventSize: ["s", "l"],
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WidgetGrouping: ["check", "cluster"],
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WidgetHorizontalAlign: ["center", "left", "right"],

‎packages/datadog-api-client-v1/models/WidgetDisplayType.ts

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| typeof AREA
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| typeof BARS
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| typeof LINE
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| typeof OVERLAY
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| UnparsedObject;
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export const AREA = "area";
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export const BARS = "bars";
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export const LINE = "line";
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export const OVERLAY = "overlay";

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