Crear una métrica basada en rum

// Create a RUM-based metric returns "Created" 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.RumMetricCreateRequest{
		Data: datadogV2.RumMetricCreateData{
			Attributes: datadogV2.RumMetricCreateAttributes{
				Compute: datadogV2.RumMetricCompute{
					AggregationType:    datadogV2.RUMMETRICCOMPUTEAGGREGATIONTYPE_DISTRIBUTION,
					IncludePercentiles: datadog.PtrBool(true),
					Path:               datadog.PtrString("@duration"),
				},
				EventType: datadogV2.RUMMETRICEVENTTYPE_SESSION,
				Filter: &datadogV2.RumMetricFilter{
					Query: "@service:web-ui",
				},
				GroupBy: []datadogV2.RumMetricGroupBy{
					{
						Path:    "@browser.name",
						TagName: datadog.PtrString("browser_name"),
					},
				},
				Uniqueness: &datadogV2.RumMetricUniqueness{
					When: datadogV2.RUMMETRICUNIQUENESSWHEN_WHEN_MATCH,
				},
			},
			Id:   "examplerummetric",
			Type: datadogV2.RUMMETRICTYPE_RUM_METRICS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewRumMetricsApi(apiClient)
	resp, r, err := api.CreateRumMetric(ctx, body)

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

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

// Create a RUM-based metric returns "Created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.RumMetricsApi;
import com.datadog.api.client.v2.model.RumMetricCompute;
import com.datadog.api.client.v2.model.RumMetricComputeAggregationType;
import com.datadog.api.client.v2.model.RumMetricCreateAttributes;
import com.datadog.api.client.v2.model.RumMetricCreateData;
import com.datadog.api.client.v2.model.RumMetricCreateRequest;
import com.datadog.api.client.v2.model.RumMetricEventType;
import com.datadog.api.client.v2.model.RumMetricFilter;
import com.datadog.api.client.v2.model.RumMetricGroupBy;
import com.datadog.api.client.v2.model.RumMetricResponse;
import com.datadog.api.client.v2.model.RumMetricType;
import com.datadog.api.client.v2.model.RumMetricUniqueness;
import com.datadog.api.client.v2.model.RumMetricUniquenessWhen;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    RumMetricsApi apiInstance = new RumMetricsApi(defaultClient);

    RumMetricCreateRequest body =
        new RumMetricCreateRequest()
            .data(
                new RumMetricCreateData()
                    .attributes(
                        new RumMetricCreateAttributes()
                            .compute(
                                new RumMetricCompute()
                                    .aggregationType(RumMetricComputeAggregationType.DISTRIBUTION)
                                    .includePercentiles(true)
                                    .path("@duration"))
                            .eventType(RumMetricEventType.SESSION)
                            .filter(new RumMetricFilter().query("@service:web-ui"))
                            .groupBy(
                                Collections.singletonList(
                                    new RumMetricGroupBy()
                                        .path("@browser.name")
                                        .tagName("browser_name")))
                            .uniqueness(
                                new RumMetricUniqueness().when(RumMetricUniquenessWhen.WHEN_MATCH)))
                    .id("examplerummetric")
                    .type(RumMetricType.RUM_METRICS));

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

"""
Create a RUM-based metric returns "Created" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.rum_metrics_api import RumMetricsApi
from datadog_api_client.v2.model.rum_metric_compute import RumMetricCompute
from datadog_api_client.v2.model.rum_metric_compute_aggregation_type import RumMetricComputeAggregationType
from datadog_api_client.v2.model.rum_metric_create_attributes import RumMetricCreateAttributes
from datadog_api_client.v2.model.rum_metric_create_data import RumMetricCreateData
from datadog_api_client.v2.model.rum_metric_create_request import RumMetricCreateRequest
from datadog_api_client.v2.model.rum_metric_event_type import RumMetricEventType
from datadog_api_client.v2.model.rum_metric_filter import RumMetricFilter
from datadog_api_client.v2.model.rum_metric_group_by import RumMetricGroupBy
from datadog_api_client.v2.model.rum_metric_type import RumMetricType
from datadog_api_client.v2.model.rum_metric_uniqueness import RumMetricUniqueness
from datadog_api_client.v2.model.rum_metric_uniqueness_when import RumMetricUniquenessWhen

body = RumMetricCreateRequest(
    data=RumMetricCreateData(
        attributes=RumMetricCreateAttributes(
            compute=RumMetricCompute(
                aggregation_type=RumMetricComputeAggregationType.DISTRIBUTION,
                include_percentiles=True,
                path="@duration",
            ),
            event_type=RumMetricEventType.SESSION,
            filter=RumMetricFilter(
                query="@service:web-ui",
            ),
            group_by=[
                RumMetricGroupBy(
                    path="@browser.name",
                    tag_name="browser_name",
                ),
            ],
            uniqueness=RumMetricUniqueness(
                when=RumMetricUniquenessWhen.WHEN_MATCH,
            ),
        ),
        id="examplerummetric",
        type=RumMetricType.RUM_METRICS,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = RumMetricsApi(api_client)
    response = api_instance.create_rum_metric(body=body)

    print(response)

# Create a RUM-based metric returns "Created" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::RumMetricsAPI.new

body = DatadogAPIClient::V2::RumMetricCreateRequest.new({
  data: DatadogAPIClient::V2::RumMetricCreateData.new({
    attributes: DatadogAPIClient::V2::RumMetricCreateAttributes.new({
      compute: DatadogAPIClient::V2::RumMetricCompute.new({
        aggregation_type: DatadogAPIClient::V2::RumMetricComputeAggregationType::DISTRIBUTION,
        include_percentiles: true,
        path: "@duration",
      }),
      event_type: DatadogAPIClient::V2::RumMetricEventType::SESSION,
      filter: DatadogAPIClient::V2::RumMetricFilter.new({
        query: "@service:web-ui",
      }),
      group_by: [
        DatadogAPIClient::V2::RumMetricGroupBy.new({
          path: "@browser.name",
          tag_name: "browser_name",
        }),
      ],
      uniqueness: DatadogAPIClient::V2::RumMetricUniqueness.new({
        _when: DatadogAPIClient::V2::RumMetricUniquenessWhen::WHEN_MATCH,
      }),
    }),
    id: "examplerummetric",
    type: DatadogAPIClient::V2::RumMetricType::RUM_METRICS,
  }),
})
p api_instance.create_rum_metric(body)

// Create a RUM-based metric returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_rum_metrics::RumMetricsAPI;
use datadog_api_client::datadogV2::model::RumMetricCompute;
use datadog_api_client::datadogV2::model::RumMetricComputeAggregationType;
use datadog_api_client::datadogV2::model::RumMetricCreateAttributes;
use datadog_api_client::datadogV2::model::RumMetricCreateData;
use datadog_api_client::datadogV2::model::RumMetricCreateRequest;
use datadog_api_client::datadogV2::model::RumMetricEventType;
use datadog_api_client::datadogV2::model::RumMetricFilter;
use datadog_api_client::datadogV2::model::RumMetricGroupBy;
use datadog_api_client::datadogV2::model::RumMetricType;
use datadog_api_client::datadogV2::model::RumMetricUniqueness;
use datadog_api_client::datadogV2::model::RumMetricUniquenessWhen;

#[tokio::main]
async fn main() {
    let body = RumMetricCreateRequest::new(RumMetricCreateData::new(
        RumMetricCreateAttributes::new(
            RumMetricCompute::new(RumMetricComputeAggregationType::DISTRIBUTION)
                .include_percentiles(true)
                .path("@duration".to_string()),
            RumMetricEventType::SESSION,
        )
        .filter(RumMetricFilter::new("@service:web-ui".to_string()))
        .group_by(vec![
            RumMetricGroupBy::new("@browser.name".to_string()).tag_name("browser_name".to_string())
        ])
        .uniqueness(RumMetricUniqueness::new(
            RumMetricUniquenessWhen::WHEN_MATCH,
        )),
        "examplerummetric".to_string(),
        RumMetricType::RUM_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = RumMetricsAPI::with_config(configuration);
    let resp = api.create_rum_metric(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create a RUM-based metric returns "Created" response
 */

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

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
const apiInstance = new v2.RumMetricsApi(configuration);

const params: v2.RumMetricsApiCreateRumMetricRequest = {
  body: {
    data: {
      attributes: {
        compute: {
          aggregationType: "distribution",
          includePercentiles: true,
          path: "@duration",
        },
        eventType: "session",
        filter: {
          query: "@service:web-ui",
        },
        groupBy: [
          {
            path: "@browser.name",
            tagName: "browser_name",
          },
        ],
        uniqueness: {
          when: "match",
        },
      },
      id: "examplerummetric",
      type: "rum_metrics",
    },
  },
};

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