Interroger des utilisateurs filtrés par événement

// Query event filtered users returns "Successful response with filtered user data" 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.QueryEventFilteredUsersRequest{
		Data: &datadogV2.QueryEventFilteredUsersRequestData{
			Attributes: &datadogV2.QueryEventFilteredUsersRequestDataAttributes{
				EventQuery: &datadogV2.QueryEventFilteredUsersRequestDataAttributesEventQuery{
					Query: datadog.PtrString("@type:view AND @view.loading_time:>3000 AND @application.name:ecommerce-platform"),
					TimeFrame: &datadogV2.QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame{
						End:   datadog.PtrInt64(1761309676),
						Start: datadog.PtrInt64(1760100076),
					},
				},
				IncludeRowCount: datadog.PtrBool(true),
				Limit:           datadog.PtrInt64(25),
				Query:           datadog.PtrString("user_org_id:5001 AND first_country_code:US AND first_browser_name:Chrome"),
				SelectColumns: []string{
					"user_id",
					"user_email",
					"first_country_code",
					"first_browser_name",
					"events_count",
					"session_count",
					"error_count",
					"avg_loading_time",
				},
			},
			Id:   datadog.PtrString("query_event_filtered_users_request"),
			Type: datadogV2.QUERYEVENTFILTEREDUSERSREQUESTDATATYPE_QUERY_EVENT_FILTERED_USERS_REQUEST,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.QueryEventFilteredUsers", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewRumAudienceManagementApi(apiClient)
	resp, r, err := api.QueryEventFilteredUsers(ctx, body)

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

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

// Query event filtered users returns "Successful response with filtered user data" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.RumAudienceManagementApi;
import com.datadog.api.client.v2.model.QueryEventFilteredUsersRequest;
import com.datadog.api.client.v2.model.QueryEventFilteredUsersRequestData;
import com.datadog.api.client.v2.model.QueryEventFilteredUsersRequestDataAttributes;
import com.datadog.api.client.v2.model.QueryEventFilteredUsersRequestDataAttributesEventQuery;
import com.datadog.api.client.v2.model.QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame;
import com.datadog.api.client.v2.model.QueryEventFilteredUsersRequestDataType;
import com.datadog.api.client.v2.model.QueryResponse;
import java.util.Arrays;

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

    QueryEventFilteredUsersRequest body =
        new QueryEventFilteredUsersRequest()
            .data(
                new QueryEventFilteredUsersRequestData()
                    .attributes(
                        new QueryEventFilteredUsersRequestDataAttributes()
                            .eventQuery(
                                new QueryEventFilteredUsersRequestDataAttributesEventQuery()
                                    .query(
                                        "@type:view AND @view.loading_time:>3000 AND"
                                            + " @application.name:ecommerce-platform")
                                    .timeFrame(
                                        new QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame()
                                            .end(1761309676L)
                                            .start(1760100076L)))
                            .includeRowCount(true)
                            .limit(25L)
                            .query(
                                "user_org_id:5001 AND first_country_code:US AND"
                                    + " first_browser_name:Chrome")
                            .selectColumns(
                                Arrays.asList(
                                    "user_id",
                                    "user_email",
                                    "first_country_code",
                                    "first_browser_name",
                                    "events_count",
                                    "session_count",
                                    "error_count",
                                    "avg_loading_time")))
                    .id("query_event_filtered_users_request")
                    .type(
                        QueryEventFilteredUsersRequestDataType.QUERY_EVENT_FILTERED_USERS_REQUEST));

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

"""
Query event filtered users returns "Successful response with filtered user data" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.rum_audience_management_api import RumAudienceManagementApi
from datadog_api_client.v2.model.query_event_filtered_users_request import QueryEventFilteredUsersRequest
from datadog_api_client.v2.model.query_event_filtered_users_request_data import QueryEventFilteredUsersRequestData
from datadog_api_client.v2.model.query_event_filtered_users_request_data_attributes import (
    QueryEventFilteredUsersRequestDataAttributes,
)
from datadog_api_client.v2.model.query_event_filtered_users_request_data_attributes_event_query import (
    QueryEventFilteredUsersRequestDataAttributesEventQuery,
)
from datadog_api_client.v2.model.query_event_filtered_users_request_data_attributes_event_query_time_frame import (
    QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame,
)
from datadog_api_client.v2.model.query_event_filtered_users_request_data_type import (
    QueryEventFilteredUsersRequestDataType,
)

body = QueryEventFilteredUsersRequest(
    data=QueryEventFilteredUsersRequestData(
        attributes=QueryEventFilteredUsersRequestDataAttributes(
            event_query=QueryEventFilteredUsersRequestDataAttributesEventQuery(
                query="@type:view AND @view.loading_time:>3000 AND @application.name:ecommerce-platform",
                time_frame=QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame(
                    end=1761309676,
                    start=1760100076,
                ),
            ),
            include_row_count=True,
            limit=25,
            query="user_org_id:5001 AND first_country_code:US AND first_browser_name:Chrome",
            select_columns=[
                "user_id",
                "user_email",
                "first_country_code",
                "first_browser_name",
                "events_count",
                "session_count",
                "error_count",
                "avg_loading_time",
            ],
        ),
        id="query_event_filtered_users_request",
        type=QueryEventFilteredUsersRequestDataType.QUERY_EVENT_FILTERED_USERS_REQUEST,
    ),
)

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

    print(response)

# Query event filtered users returns "Successful response with filtered user data" response

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

body = DatadogAPIClient::V2::QueryEventFilteredUsersRequest.new({
  data: DatadogAPIClient::V2::QueryEventFilteredUsersRequestData.new({
    attributes: DatadogAPIClient::V2::QueryEventFilteredUsersRequestDataAttributes.new({
      event_query: DatadogAPIClient::V2::QueryEventFilteredUsersRequestDataAttributesEventQuery.new({
        query: "@type:view AND @view.loading_time:>3000 AND @application.name:ecommerce-platform",
        time_frame: DatadogAPIClient::V2::QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame.new({
          _end: 1761309676,
          start: 1760100076,
        }),
      }),
      include_row_count: true,
      limit: 25,
      query: "user_org_id:5001 AND first_country_code:US AND first_browser_name:Chrome",
      select_columns: [
        "user_id",
        "user_email",
        "first_country_code",
        "first_browser_name",
        "events_count",
        "session_count",
        "error_count",
        "avg_loading_time",
      ],
    }),
    id: "query_event_filtered_users_request",
    type: DatadogAPIClient::V2::QueryEventFilteredUsersRequestDataType::QUERY_EVENT_FILTERED_USERS_REQUEST,
  }),
})
p api_instance.query_event_filtered_users(body)

// Query event filtered users returns "Successful response with filtered user
// data" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_rum_audience_management::RumAudienceManagementAPI;
use datadog_api_client::datadogV2::model::QueryEventFilteredUsersRequest;
use datadog_api_client::datadogV2::model::QueryEventFilteredUsersRequestData;
use datadog_api_client::datadogV2::model::QueryEventFilteredUsersRequestDataAttributes;
use datadog_api_client::datadogV2::model::QueryEventFilteredUsersRequestDataAttributesEventQuery;
use datadog_api_client::datadogV2::model::QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame;
use datadog_api_client::datadogV2::model::QueryEventFilteredUsersRequestDataType;

#[tokio::main]
async fn main() {
    let body =
        QueryEventFilteredUsersRequest
        ::new().data(
            QueryEventFilteredUsersRequestData::new(
                QueryEventFilteredUsersRequestDataType::QUERY_EVENT_FILTERED_USERS_REQUEST,
            )
                .attributes(
                    QueryEventFilteredUsersRequestDataAttributes::new()
                        .event_query(
                            QueryEventFilteredUsersRequestDataAttributesEventQuery::new()
                                .query(
                                    "@type:view AND @view.loading_time:>3000 AND @application.name:ecommerce-platform".to_string(),
                                )
                                .time_frame(
                                    QueryEventFilteredUsersRequestDataAttributesEventQueryTimeFrame::new()
                                        .end(1761309676)
                                        .start(1760100076),
                                ),
                        )
                        .include_row_count(true)
                        .limit(25)
                        .query("user_org_id:5001 AND first_country_code:US AND first_browser_name:Chrome".to_string())
                        .select_columns(
                            vec![
                                "user_id".to_string(),
                                "user_email".to_string(),
                                "first_country_code".to_string(),
                                "first_browser_name".to_string(),
                                "events_count".to_string(),
                                "session_count".to_string(),
                                "error_count".to_string(),
                                "avg_loading_time".to_string()
                            ],
                        ),
                )
                .id("query_event_filtered_users_request".to_string()),
        );
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.query_event_filtered_users", true);
    let api = RumAudienceManagementAPI::with_config(configuration);
    let resp = api.query_event_filtered_users(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Query event filtered users returns "Successful response with filtered user data" 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.queryEventFilteredUsers"] = true;
const apiInstance = new v2.RumAudienceManagementApi(configuration);

const params: v2.RumAudienceManagementApiQueryEventFilteredUsersRequest = {
  body: {
    data: {
      attributes: {
        eventQuery: {
          query:
            "@type:view AND @view.loading_time:>3000 AND @application.name:ecommerce-platform",
          timeFrame: {
            end: 1761309676,
            start: 1760100076,
          },
        },
        includeRowCount: true,
        limit: 25,
        query:
          "user_org_id:5001 AND first_country_code:US AND first_browser_name:Chrome",
        selectColumns: [
          "user_id",
          "user_email",
          "first_country_code",
          "first_browser_name",
          "events_count",
          "session_count",
          "error_count",
          "avg_loading_time",
        ],
      },
      id: "query_event_filtered_users_request",
      type: "query_event_filtered_users_request",
    },
  },
};

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