집계된 워터폴 쿼리

// Query aggregated waterfall returns "Successful response" 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.AggregatedWaterfallRequest{
		Data: datadogV2.AggregatedWaterfallRequestData{
			Attributes: datadogV2.AggregatedWaterfallRequestAttributes{
				ApplicationId: "ccbc53b1-74f2-496b-bdd7-9a8fa7b7376b",
				Criteria: &datadogV2.AggregatedWaterfallPerformanceCriteria{
					Max:    datadog.PtrFloat64(5.0),
					Metric: datadogV2.AGGREGATEDWATERFALLPERFORMANCECRITERIAMETRIC_LARGEST_CONTENTFUL_PAINT,
					Min:    datadog.PtrFloat64(2.5),
				},
				Filter:                  datadog.PtrString("@session.type:user"),
				From:                    1762437564,
				IncludeGlobalAppearance: datadog.PtrBool(false),
				SampleSize:              20,
				To:                      1762523964,
				ViewName:                "/account/login(/:type)",
			},
			Type: datadogV2.AGGREGATEDWATERFALLREQUESTTYPE_AGGREGATED_WATERFALL,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.QueryAggregatedWaterfall", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewRUMInsightsApi(apiClient)
	resp, r, err := api.QueryAggregatedWaterfall(ctx, body)

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

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

// Query aggregated waterfall returns "Successful response" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.RumInsightsApi;
import com.datadog.api.client.v2.model.AggregatedWaterfallPerformanceCriteria;
import com.datadog.api.client.v2.model.AggregatedWaterfallPerformanceCriteriaMetric;
import com.datadog.api.client.v2.model.AggregatedWaterfallRequest;
import com.datadog.api.client.v2.model.AggregatedWaterfallRequestAttributes;
import com.datadog.api.client.v2.model.AggregatedWaterfallRequestData;
import com.datadog.api.client.v2.model.AggregatedWaterfallRequestType;
import com.datadog.api.client.v2.model.AggregatedWaterfallResponse;

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

    AggregatedWaterfallRequest body =
        new AggregatedWaterfallRequest()
            .data(
                new AggregatedWaterfallRequestData()
                    .attributes(
                        new AggregatedWaterfallRequestAttributes()
                            .applicationId("ccbc53b1-74f2-496b-bdd7-9a8fa7b7376b")
                            .criteria(
                                new AggregatedWaterfallPerformanceCriteria()
                                    .max(5.0)
                                    .metric(
                                        AggregatedWaterfallPerformanceCriteriaMetric
                                            .LARGEST_CONTENTFUL_PAINT)
                                    .min(2.5))
                            .filter("@session.type:user")
                            .from(1762437564L)
                            .includeGlobalAppearance(false)
                            .sampleSize(20)
                            .to(1762523964L)
                            .viewName("/account/login(/:type)"))
                    .type(AggregatedWaterfallRequestType.AGGREGATED_WATERFALL));

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

"""
Query aggregated waterfall returns "Successful response" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.rum_insights_api import RUMInsightsApi
from datadog_api_client.v2.model.aggregated_waterfall_performance_criteria import AggregatedWaterfallPerformanceCriteria
from datadog_api_client.v2.model.aggregated_waterfall_performance_criteria_metric import (
    AggregatedWaterfallPerformanceCriteriaMetric,
)
from datadog_api_client.v2.model.aggregated_waterfall_request import AggregatedWaterfallRequest
from datadog_api_client.v2.model.aggregated_waterfall_request_attributes import AggregatedWaterfallRequestAttributes
from datadog_api_client.v2.model.aggregated_waterfall_request_data import AggregatedWaterfallRequestData
from datadog_api_client.v2.model.aggregated_waterfall_request_type import AggregatedWaterfallRequestType

body = AggregatedWaterfallRequest(
    data=AggregatedWaterfallRequestData(
        attributes=AggregatedWaterfallRequestAttributes(
            application_id="ccbc53b1-74f2-496b-bdd7-9a8fa7b7376b",
            criteria=AggregatedWaterfallPerformanceCriteria(
                max=5.0,
                metric=AggregatedWaterfallPerformanceCriteriaMetric.LARGEST_CONTENTFUL_PAINT,
                min=2.5,
            ),
            filter="@session.type:user",
            _from=1762437564,
            include_global_appearance=False,
            sample_size=20,
            to=1762523964,
            view_name="/account/login(/:type)",
        ),
        type=AggregatedWaterfallRequestType.AGGREGATED_WATERFALL,
    ),
)

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

    print(response)

# Query aggregated waterfall returns "Successful response" response

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

body = DatadogAPIClient::V2::AggregatedWaterfallRequest.new({
  data: DatadogAPIClient::V2::AggregatedWaterfallRequestData.new({
    attributes: DatadogAPIClient::V2::AggregatedWaterfallRequestAttributes.new({
      application_id: "ccbc53b1-74f2-496b-bdd7-9a8fa7b7376b",
      criteria: DatadogAPIClient::V2::AggregatedWaterfallPerformanceCriteria.new({
        max: 5.0,
        metric: DatadogAPIClient::V2::AggregatedWaterfallPerformanceCriteriaMetric::LARGEST_CONTENTFUL_PAINT,
        min: 2.5,
      }),
      filter: "@session.type:user",
      from: 1762437564,
      include_global_appearance: false,
      sample_size: 20,
      to: 1762523964,
      view_name: "/account/login(/:type)",
    }),
    type: DatadogAPIClient::V2::AggregatedWaterfallRequestType::AGGREGATED_WATERFALL,
  }),
})
p api_instance.query_aggregated_waterfall(body)

// Query aggregated waterfall returns "Successful response" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_rum_insights::RUMInsightsAPI;
use datadog_api_client::datadogV2::model::AggregatedWaterfallPerformanceCriteria;
use datadog_api_client::datadogV2::model::AggregatedWaterfallPerformanceCriteriaMetric;
use datadog_api_client::datadogV2::model::AggregatedWaterfallRequest;
use datadog_api_client::datadogV2::model::AggregatedWaterfallRequestAttributes;
use datadog_api_client::datadogV2::model::AggregatedWaterfallRequestData;
use datadog_api_client::datadogV2::model::AggregatedWaterfallRequestType;

#[tokio::main]
async fn main() {
    let body = AggregatedWaterfallRequest::new(AggregatedWaterfallRequestData::new(
        AggregatedWaterfallRequestAttributes::new(
            "ccbc53b1-74f2-496b-bdd7-9a8fa7b7376b".to_string(),
            1762437564,
            20,
            1762523964,
            "/account/login(/:type)".to_string(),
        )
        .criteria(
            AggregatedWaterfallPerformanceCriteria::new(
                AggregatedWaterfallPerformanceCriteriaMetric::LARGEST_CONTENTFUL_PAINT,
            )
            .max(5.0 as f64)
            .min(2.5 as f64),
        )
        .filter("@session.type:user".to_string())
        .include_global_appearance(false),
        AggregatedWaterfallRequestType::AGGREGATED_WATERFALL,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.query_aggregated_waterfall", true);
    let api = RUMInsightsAPI::with_config(configuration);
    let resp = api.query_aggregated_waterfall(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Query aggregated waterfall returns "Successful response" 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.queryAggregatedWaterfall"] = true;
const apiInstance = new v2.RUMInsightsApi(configuration);

const params: v2.RUMInsightsApiQueryAggregatedWaterfallRequest = {
  body: {
    data: {
      attributes: {
        applicationId: "ccbc53b1-74f2-496b-bdd7-9a8fa7b7376b",
        criteria: {
          max: 5.0,
          metric: "largest_contentful_paint",
          min: 2.5,
        },
        filter: "@session.type:user",
        from: 1762437564,
        includeGlobalAppearance: false,
        sampleSize: 20,
        to: 1762523964,
        viewName: "/account/login(/:type)",
      },
      type: "aggregated_waterfall",
    },
  },
};

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