Create a graph snapshot

// Create a graph snapshot returns "OK" response

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/datadogV2"
)

func main() {
	body := datadogV2.CreateSnapshotRequest{
		Data: datadogV2.CreateSnapshotDataRequest{
			Attributes: datadogV2.CreateSnapshotDataAttributesRequest{
				AdditionalConfig: &datadogV2.CreateSnapshotAdditionalConfig{
					TemplateVariables: []datadogV2.CreateSnapshotTemplateVariable{
						{
							Name:   "host",
							Prefix: "host",
							Values: []string{
								"web-server-1",
								"web-server-2",
							},
						},
					},
					TimeseriesLegendType:  datadogV2.CREATESNAPSHOTTIMESERIESLEGENDTYPE_EXPANDED.Ptr(),
					TimezoneOffsetMinutes: datadog.PtrInt64(300),
				},
				End:             1692464800000,
				Height:          datadog.PtrInt64(185),
				IsAuthenticated: datadog.PtrBool(false),
				Start:           1692464000000,
				Ttl:             datadogV2.CREATESNAPSHOTTTL_SIXTY_DAYS.Ptr(),
				WidgetDefinition: map[string]interface{}{
					"requests": "[{'q': 'avg:system.cpu.user{*}'}]",
					"type":     "timeseries",
				},
				Width: datadog.PtrInt64(300),
			},
			Type: datadogV2.CREATESNAPSHOTTYPE_CREATE_SNAPSHOT,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateSnapshot", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewReportingAndSharingApi(apiClient)
	resp, r, err := api.CreateSnapshot(ctx, body)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `ReportingAndSharingApi.CreateSnapshot`:\n%s\n", responseContent)
}

// Create a graph snapshot returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ReportingAndSharingApi;
import com.datadog.api.client.v2.model.CreateSnapshotAdditionalConfig;
import com.datadog.api.client.v2.model.CreateSnapshotDataAttributesRequest;
import com.datadog.api.client.v2.model.CreateSnapshotDataRequest;
import com.datadog.api.client.v2.model.CreateSnapshotRequest;
import com.datadog.api.client.v2.model.CreateSnapshotResponse;
import com.datadog.api.client.v2.model.CreateSnapshotTTL;
import com.datadog.api.client.v2.model.CreateSnapshotTemplateVariable;
import com.datadog.api.client.v2.model.CreateSnapshotTimeseriesLegendType;
import com.datadog.api.client.v2.model.CreateSnapshotType;
import java.util.Arrays;
import java.util.Collections;
import java.util.Map;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    defaultClient.setUnstableOperationEnabled("v2.createSnapshot", true);
    ReportingAndSharingApi apiInstance = new ReportingAndSharingApi(defaultClient);

    CreateSnapshotRequest body =
        new CreateSnapshotRequest()
            .data(
                new CreateSnapshotDataRequest()
                    .attributes(
                        new CreateSnapshotDataAttributesRequest()
                            .additionalConfig(
                                new CreateSnapshotAdditionalConfig()
                                    .templateVariables(
                                        Collections.singletonList(
                                            new CreateSnapshotTemplateVariable()
                                                .name("host")
                                                .prefix("host")
                                                .values(
                                                    Arrays.asList("web-server-1", "web-server-2"))))
                                    .timeseriesLegendType(
                                        CreateSnapshotTimeseriesLegendType.EXPANDED)
                                    .timezoneOffsetMinutes(300L))
                            .end(1692464800000L)
                            .height(185L)
                            .isAuthenticated(false)
                            .start(1692464000000L)
                            .ttl(CreateSnapshotTTL.SIXTY_DAYS)
                            .widgetDefinition(
                                Map.ofEntries(
                                    Map.entry("requests", "[{'q': 'avg:system.cpu.user{*}'}]"),
                                    Map.entry("type", "timeseries")))
                            .width(300L))
                    .type(CreateSnapshotType.CREATE_SNAPSHOT));

    try {
      CreateSnapshotResponse result = apiInstance.createSnapshot(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling ReportingAndSharingApi#createSnapshot");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

"""
Create a graph snapshot returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.reporting_and_sharing_api import ReportingAndSharingApi
from datadog_api_client.v2.model.create_snapshot_additional_config import CreateSnapshotAdditionalConfig
from datadog_api_client.v2.model.create_snapshot_data_attributes_request import CreateSnapshotDataAttributesRequest
from datadog_api_client.v2.model.create_snapshot_data_request import CreateSnapshotDataRequest
from datadog_api_client.v2.model.create_snapshot_request import CreateSnapshotRequest
from datadog_api_client.v2.model.create_snapshot_template_variable import CreateSnapshotTemplateVariable
from datadog_api_client.v2.model.create_snapshot_timeseries_legend_type import CreateSnapshotTimeseriesLegendType
from datadog_api_client.v2.model.create_snapshot_ttl import CreateSnapshotTTL
from datadog_api_client.v2.model.create_snapshot_type import CreateSnapshotType

body = CreateSnapshotRequest(
    data=CreateSnapshotDataRequest(
        attributes=CreateSnapshotDataAttributesRequest(
            additional_config=CreateSnapshotAdditionalConfig(
                template_variables=[
                    CreateSnapshotTemplateVariable(
                        name="host",
                        prefix="host",
                        values=[
                            "web-server-1",
                            "web-server-2",
                        ],
                    ),
                ],
                timeseries_legend_type=CreateSnapshotTimeseriesLegendType.EXPANDED,
                timezone_offset_minutes=300,
            ),
            end=1692464800000,
            height=185,
            is_authenticated=False,
            start=1692464000000,
            ttl=CreateSnapshotTTL.SIXTY_DAYS,
            widget_definition=dict([("requests", "[{'q': 'avg:system.cpu.user{*}'}]"), ("type", "timeseries")]),
            width=300,
        ),
        type=CreateSnapshotType.CREATE_SNAPSHOT,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_snapshot"] = True
with ApiClient(configuration) as api_client:
    api_instance = ReportingAndSharingApi(api_client)
    response = api_instance.create_snapshot(body=body)

    print(response)

# Create a graph snapshot returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
  config.unstable_operations["v2.create_snapshot".to_sym] = true
end
api_instance = DatadogAPIClient::V2::ReportingAndSharingAPI.new

body = DatadogAPIClient::V2::CreateSnapshotRequest.new({
  data: DatadogAPIClient::V2::CreateSnapshotDataRequest.new({
    attributes: DatadogAPIClient::V2::CreateSnapshotDataAttributesRequest.new({
      additional_config: DatadogAPIClient::V2::CreateSnapshotAdditionalConfig.new({
        template_variables: [
          DatadogAPIClient::V2::CreateSnapshotTemplateVariable.new({
            name: "host",
            prefix: "host",
            values: [
              "web-server-1",
              "web-server-2",
            ],
          }),
        ],
        timeseries_legend_type: DatadogAPIClient::V2::CreateSnapshotTimeseriesLegendType::EXPANDED,
        timezone_offset_minutes: 300,
      }),
      _end: 1692464800000,
      height: 185,
      is_authenticated: false,
      start: 1692464000000,
      ttl: DatadogAPIClient::V2::CreateSnapshotTTL::SIXTY_DAYS,
      widget_definition: {
        "requests": "[{'q': 'avg:system.cpu.user{*}'}]", "type": "timeseries",
      },
      width: 300,
    }),
    type: DatadogAPIClient::V2::CreateSnapshotType::CREATE_SNAPSHOT,
  }),
})
p api_instance.create_snapshot(body)

// Create a graph snapshot returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_reporting_and_sharing::ReportingAndSharingAPI;
use datadog_api_client::datadogV2::model::CreateSnapshotAdditionalConfig;
use datadog_api_client::datadogV2::model::CreateSnapshotDataAttributesRequest;
use datadog_api_client::datadogV2::model::CreateSnapshotDataRequest;
use datadog_api_client::datadogV2::model::CreateSnapshotRequest;
use datadog_api_client::datadogV2::model::CreateSnapshotTTL;
use datadog_api_client::datadogV2::model::CreateSnapshotTemplateVariable;
use datadog_api_client::datadogV2::model::CreateSnapshotTimeseriesLegendType;
use datadog_api_client::datadogV2::model::CreateSnapshotType;
use serde_json::Value;
use std::collections::BTreeMap;

#[tokio::main]
async fn main() {
    let body = CreateSnapshotRequest::new(CreateSnapshotDataRequest::new(
        CreateSnapshotDataAttributesRequest::new(
            1692464800000,
            1692464000000,
            BTreeMap::from([("type".to_string(), Value::from("timeseries"))]),
        )
        .additional_config(
            CreateSnapshotAdditionalConfig::new()
                .template_variables(vec![CreateSnapshotTemplateVariable::new(
                    "host".to_string(),
                    "host".to_string(),
                    vec!["web-server-1".to_string(), "web-server-2".to_string()],
                )])
                .timeseries_legend_type(CreateSnapshotTimeseriesLegendType::EXPANDED)
                .timezone_offset_minutes(300),
        )
        .height(185)
        .is_authenticated(false)
        .ttl(CreateSnapshotTTL::SIXTY_DAYS)
        .width(300),
        CreateSnapshotType::CREATE_SNAPSHOT,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.create_snapshot", true);
    let api = ReportingAndSharingAPI::with_config(configuration);
    let resp = api.create_snapshot(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create a graph snapshot returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
configuration.unstableOperations["v2.createSnapshot"] = true;
const apiInstance = new v2.ReportingAndSharingApi(configuration);

const params: v2.ReportingAndSharingApiCreateSnapshotRequest = {
  body: {
    data: {
      attributes: {
        additionalConfig: {
          templateVariables: [
            {
              name: "host",
              prefix: "host",
              values: ["web-server-1", "web-server-2"],
            },
          ],
          timeseriesLegendType: "expanded",
          timezoneOffsetMinutes: 300,
        },
        end: 1692464800000,
        height: 185,
        isAuthenticated: false,
        start: 1692464000000,
        ttl: "60d",
        widgetDefinition: {
          requests: "[{'q': 'avg:system.cpu.user{*}'}]",
          type: "timeseries",
        },
        width: 300,
      },
      type: "create_snapshot",
    },
  },
};

apiInstance
  .createSnapshot(params)
  .then((data: v2.CreateSnapshotResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));