Agréger des événements RUM

// Aggregate RUM events 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.RUMAggregateRequest{
		Compute: []datadogV2.RUMCompute{
			{
				Aggregation: datadogV2.RUMAGGREGATIONFUNCTION_PERCENTILE_90,
				Metric:      datadog.PtrString("@view.time_spent"),
				Type:        datadogV2.RUMCOMPUTETYPE_TOTAL.Ptr(),
			},
		},
		Filter: &datadogV2.RUMQueryFilter{
			From:  datadog.PtrString("now-15m"),
			Query: datadog.PtrString("@type:view AND @session.type:user"),
			To:    datadog.PtrString("now"),
		},
		GroupBy: []datadogV2.RUMGroupBy{
			{
				Facet: "@view.time_spent",
				Limit: datadog.PtrInt64(10),
				Total: &datadogV2.RUMGroupByTotal{
					RUMGroupByTotalBoolean: datadog.PtrBool(false)},
			},
		},
		Options: &datadogV2.RUMQueryOptions{
			Timezone: datadog.PtrString("GMT"),
		},
		Page: &datadogV2.RUMQueryPageOptions{
			Limit: datadog.PtrInt32(25),
		},
	}
	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.NewRUMApi(apiClient)
	resp, r, err := api.AggregateRUMEvents(ctx, body)

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

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

// Aggregate RUM events returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.RumApi;
import com.datadog.api.client.v2.model.RUMAggregateRequest;
import com.datadog.api.client.v2.model.RUMAggregationFunction;
import com.datadog.api.client.v2.model.RUMAnalyticsAggregateResponse;
import com.datadog.api.client.v2.model.RUMCompute;
import com.datadog.api.client.v2.model.RUMComputeType;
import com.datadog.api.client.v2.model.RUMGroupBy;
import com.datadog.api.client.v2.model.RUMGroupByTotal;
import com.datadog.api.client.v2.model.RUMQueryFilter;
import com.datadog.api.client.v2.model.RUMQueryOptions;
import com.datadog.api.client.v2.model.RUMQueryPageOptions;
import java.util.Collections;

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

    RUMAggregateRequest body =
        new RUMAggregateRequest()
            .compute(
                Collections.singletonList(
                    new RUMCompute()
                        .aggregation(RUMAggregationFunction.PERCENTILE_90)
                        .metric("@view.time_spent")
                        .type(RUMComputeType.TOTAL)))
            .filter(
                new RUMQueryFilter()
                    .from("now-15m")
                    .query("@type:view AND @session.type:user")
                    .to("now"))
            .groupBy(
                Collections.singletonList(
                    new RUMGroupBy()
                        .facet("@view.time_spent")
                        .limit(10L)
                        .total(new RUMGroupByTotal(false))))
            .options(new RUMQueryOptions().timezone("GMT"))
            .page(new RUMQueryPageOptions().limit(25));

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

"""
Aggregate RUM events returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.rum_api import RUMApi
from datadog_api_client.v2.model.rum_aggregate_request import RUMAggregateRequest
from datadog_api_client.v2.model.rum_aggregation_function import RUMAggregationFunction
from datadog_api_client.v2.model.rum_compute import RUMCompute
from datadog_api_client.v2.model.rum_compute_type import RUMComputeType
from datadog_api_client.v2.model.rum_group_by import RUMGroupBy
from datadog_api_client.v2.model.rum_query_filter import RUMQueryFilter
from datadog_api_client.v2.model.rum_query_options import RUMQueryOptions
from datadog_api_client.v2.model.rum_query_page_options import RUMQueryPageOptions

body = RUMAggregateRequest(
    compute=[
        RUMCompute(
            aggregation=RUMAggregationFunction.PERCENTILE_90,
            metric="@view.time_spent",
            type=RUMComputeType.TOTAL,
        ),
    ],
    filter=RUMQueryFilter(
        _from="now-15m",
        query="@type:view AND @session.type:user",
        to="now",
    ),
    group_by=[
        RUMGroupBy(
            facet="@view.time_spent",
            limit=10,
            total=False,
        ),
    ],
    options=RUMQueryOptions(
        timezone="GMT",
    ),
    page=RUMQueryPageOptions(
        limit=25,
    ),
)

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

    print(response)

# Aggregate RUM events returns "OK" response

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

body = DatadogAPIClient::V2::RUMAggregateRequest.new({
  compute: [
    DatadogAPIClient::V2::RUMCompute.new({
      aggregation: DatadogAPIClient::V2::RUMAggregationFunction::PERCENTILE_90,
      metric: "@view.time_spent",
      type: DatadogAPIClient::V2::RUMComputeType::TOTAL,
    }),
  ],
  filter: DatadogAPIClient::V2::RUMQueryFilter.new({
    from: "now-15m",
    query: "@type:view AND @session.type:user",
    to: "now",
  }),
  group_by: [
    DatadogAPIClient::V2::RUMGroupBy.new({
      facet: "@view.time_spent",
      limit: 10,
      total: false,
    }),
  ],
  options: DatadogAPIClient::V2::RUMQueryOptions.new({
    timezone: "GMT",
  }),
  page: DatadogAPIClient::V2::RUMQueryPageOptions.new({
    limit: 25,
  }),
})
p api_instance.aggregate_rum_events(body)

// Aggregate RUM events returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_rum::RUMAPI;
use datadog_api_client::datadogV2::model::RUMAggregateRequest;
use datadog_api_client::datadogV2::model::RUMAggregationFunction;
use datadog_api_client::datadogV2::model::RUMCompute;
use datadog_api_client::datadogV2::model::RUMComputeType;
use datadog_api_client::datadogV2::model::RUMGroupBy;
use datadog_api_client::datadogV2::model::RUMGroupByTotal;
use datadog_api_client::datadogV2::model::RUMQueryFilter;
use datadog_api_client::datadogV2::model::RUMQueryOptions;
use datadog_api_client::datadogV2::model::RUMQueryPageOptions;

#[tokio::main]
async fn main() {
    let body = RUMAggregateRequest::new()
        .compute(vec![RUMCompute::new(RUMAggregationFunction::PERCENTILE_90)
            .metric("@view.time_spent".to_string())
            .type_(RUMComputeType::TOTAL)])
        .filter(
            RUMQueryFilter::new()
                .from("now-15m".to_string())
                .query("@type:view AND @session.type:user".to_string())
                .to("now".to_string()),
        )
        .group_by(vec![RUMGroupBy::new("@view.time_spent".to_string())
            .limit(10)
            .total(RUMGroupByTotal::RUMGroupByTotalBoolean(false))])
        .options(RUMQueryOptions::new().timezone("GMT".to_string()))
        .page(RUMQueryPageOptions::new().limit(25));
    let configuration = datadog::Configuration::new();
    let api = RUMAPI::with_config(configuration);
    let resp = api.aggregate_rum_events(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Aggregate RUM events 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,
    },
  },
});
const apiInstance = new v2.RUMApi(configuration);

const params: v2.RUMApiAggregateRUMEventsRequest = {
  body: {
    compute: [
      {
        aggregation: "pc90",
        metric: "@view.time_spent",
        type: "total",
      },
    ],
    filter: {
      from: "now-15m",
      query: "@type:view AND @session.type:user",
      to: "now",
    },
    groupBy: [
      {
        facet: "@view.time_spent",
        limit: 10,
        total: false,
      },
    ],
    options: {
      timezone: "GMT",
    },
    page: {
      limit: 25,
    },
  },
};

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