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// Query accounts returns "Successful response with account 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.QueryAccountRequest{
		Data: &datadogV2.QueryAccountRequestData{
			Attributes: &datadogV2.QueryAccountRequestDataAttributes{
				Limit: datadog.PtrInt64(20),
				Query: datadog.PtrString("plan_type:enterprise AND user_count:>100 AND subscription_status:active"),
				SelectColumns: []string{
					"account_id",
					"account_name",
					"user_count",
					"plan_type",
					"subscription_status",
					"created_at",
					"mrr",
					"industry",
				},
				Sort: &datadogV2.QueryAccountRequestDataAttributesSort{
					Field: datadog.PtrString("user_count"),
					Order: datadog.PtrString("DESC"),
				},
				WildcardSearchTerm: datadog.PtrString("tech"),
			},
			Id:   datadog.PtrString("query_account_request"),
			Type: datadogV2.QUERYACCOUNTREQUESTDATATYPE_QUERY_ACCOUNT_REQUEST,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.QueryAccounts", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewRumAudienceManagementApi(apiClient)
	resp, r, err := api.QueryAccounts(ctx, body)

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

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

// Query accounts returns "Successful response with account 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.QueryAccountRequest;
import com.datadog.api.client.v2.model.QueryAccountRequestData;
import com.datadog.api.client.v2.model.QueryAccountRequestDataAttributes;
import com.datadog.api.client.v2.model.QueryAccountRequestDataAttributesSort;
import com.datadog.api.client.v2.model.QueryAccountRequestDataType;
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.queryAccounts", true);
    RumAudienceManagementApi apiInstance = new RumAudienceManagementApi(defaultClient);

    QueryAccountRequest body =
        new QueryAccountRequest()
            .data(
                new QueryAccountRequestData()
                    .attributes(
                        new QueryAccountRequestDataAttributes()
                            .limit(20L)
                            .query(
                                "plan_type:enterprise AND user_count:>100 AND"
                                    + " subscription_status:active")
                            .selectColumns(
                                Arrays.asList(
                                    "account_id",
                                    "account_name",
                                    "user_count",
                                    "plan_type",
                                    "subscription_status",
                                    "created_at",
                                    "mrr",
                                    "industry"))
                            .sort(
                                new QueryAccountRequestDataAttributesSort()
                                    .field("user_count")
                                    .order("DESC"))
                            .wildcardSearchTerm("tech"))
                    .id("query_account_request")
                    .type(QueryAccountRequestDataType.QUERY_ACCOUNT_REQUEST));

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

"""
Query accounts returns "Successful response with account 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_account_request import QueryAccountRequest
from datadog_api_client.v2.model.query_account_request_data import QueryAccountRequestData
from datadog_api_client.v2.model.query_account_request_data_attributes import QueryAccountRequestDataAttributes
from datadog_api_client.v2.model.query_account_request_data_attributes_sort import QueryAccountRequestDataAttributesSort
from datadog_api_client.v2.model.query_account_request_data_type import QueryAccountRequestDataType

body = QueryAccountRequest(
    data=QueryAccountRequestData(
        attributes=QueryAccountRequestDataAttributes(
            limit=20,
            query="plan_type:enterprise AND user_count:>100 AND subscription_status:active",
            select_columns=[
                "account_id",
                "account_name",
                "user_count",
                "plan_type",
                "subscription_status",
                "created_at",
                "mrr",
                "industry",
            ],
            sort=QueryAccountRequestDataAttributesSort(
                field="user_count",
                order="DESC",
            ),
            wildcard_search_term="tech",
        ),
        id="query_account_request",
        type=QueryAccountRequestDataType.QUERY_ACCOUNT_REQUEST,
    ),
)

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

    print(response)

# Query accounts returns "Successful response with account data" response

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

body = DatadogAPIClient::V2::QueryAccountRequest.new({
  data: DatadogAPIClient::V2::QueryAccountRequestData.new({
    attributes: DatadogAPIClient::V2::QueryAccountRequestDataAttributes.new({
      limit: 20,
      query: "plan_type:enterprise AND user_count:>100 AND subscription_status:active",
      select_columns: [
        "account_id",
        "account_name",
        "user_count",
        "plan_type",
        "subscription_status",
        "created_at",
        "mrr",
        "industry",
      ],
      sort: DatadogAPIClient::V2::QueryAccountRequestDataAttributesSort.new({
        field: "user_count",
        order: "DESC",
      }),
      wildcard_search_term: "tech",
    }),
    id: "query_account_request",
    type: DatadogAPIClient::V2::QueryAccountRequestDataType::QUERY_ACCOUNT_REQUEST,
  }),
})
p api_instance.query_accounts(body)

// Query accounts returns "Successful response with account data" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_rum_audience_management::RumAudienceManagementAPI;
use datadog_api_client::datadogV2::model::QueryAccountRequest;
use datadog_api_client::datadogV2::model::QueryAccountRequestData;
use datadog_api_client::datadogV2::model::QueryAccountRequestDataAttributes;
use datadog_api_client::datadogV2::model::QueryAccountRequestDataAttributesSort;
use datadog_api_client::datadogV2::model::QueryAccountRequestDataType;

#[tokio::main]
async fn main() {
    let body = QueryAccountRequest::new().data(
        QueryAccountRequestData::new(QueryAccountRequestDataType::QUERY_ACCOUNT_REQUEST)
            .attributes(
                QueryAccountRequestDataAttributes::new()
                    .limit(20)
                    .query(
                        "plan_type:enterprise AND user_count:>100 AND subscription_status:active"
                            .to_string(),
                    )
                    .select_columns(vec![
                        "account_id".to_string(),
                        "account_name".to_string(),
                        "user_count".to_string(),
                        "plan_type".to_string(),
                        "subscription_status".to_string(),
                        "created_at".to_string(),
                        "mrr".to_string(),
                        "industry".to_string(),
                    ])
                    .sort(
                        QueryAccountRequestDataAttributesSort::new()
                            .field("user_count".to_string())
                            .order("DESC".to_string()),
                    )
                    .wildcard_search_term("tech".to_string()),
            )
            .id("query_account_request".to_string()),
    );
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.query_accounts", true);
    let api = RumAudienceManagementAPI::with_config(configuration);
    let resp = api.query_accounts(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Query accounts returns "Successful response with account 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.queryAccounts"] = true;
const apiInstance = new v2.RumAudienceManagementApi(configuration);

const params: v2.RumAudienceManagementApiQueryAccountsRequest = {
  body: {
    data: {
      attributes: {
        limit: 20,
        query:
          "plan_type:enterprise AND user_count:>100 AND subscription_status:active",
        selectColumns: [
          "account_id",
          "account_name",
          "user_count",
          "plan_type",
          "subscription_status",
          "created_at",
          "mrr",
          "industry",
        ],
        sort: {
          field: "user_count",
          order: "DESC",
        },
        wildcardSearchTerm: "tech",
      },
      id: "query_account_request",
      type: "query_account_request",
    },
  },
};

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