Enable historical metrics ingestion

"""
Enable historical metrics ingestion returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.metrics_api import MetricsApi
from datadog_api_client.v2.model.historical_metrics_configuration_create_data import (
    HistoricalMetricsConfigurationCreateData,
)
from datadog_api_client.v2.model.historical_metrics_configuration_create_request import (
    HistoricalMetricsConfigurationCreateRequest,
)
from datadog_api_client.v2.model.historical_metrics_configuration_type import HistoricalMetricsConfigurationType

body = HistoricalMetricsConfigurationCreateRequest(
    data=HistoricalMetricsConfigurationCreateData(
        id="dd.test.metric",
        type=HistoricalMetricsConfigurationType.HISTORICAL_METRICS_CONFIGURATIONS,
    ),
)

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

    print(response)

# Enable historical metrics ingestion returns "OK" response

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

body = DatadogAPIClient::V2::HistoricalMetricsConfigurationCreateRequest.new({
  data: DatadogAPIClient::V2::HistoricalMetricsConfigurationCreateData.new({
    id: "dd.test.metric",
    type: DatadogAPIClient::V2::HistoricalMetricsConfigurationType::HISTORICAL_METRICS_CONFIGURATIONS,
  }),
})
p api_instance.create_historical_metrics_configuration(body)

// Enable historical metrics ingestion 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.HistoricalMetricsConfigurationCreateRequest{
		Data: datadogV2.HistoricalMetricsConfigurationCreateData{
			Id:   "dd.test.metric",
			Type: datadogV2.HISTORICALMETRICSCONFIGURATIONTYPE_HISTORICAL_METRICS_CONFIGURATIONS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateHistoricalMetricsConfiguration", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewMetricsApi(apiClient)
	resp, r, err := api.CreateHistoricalMetricsConfiguration(ctx, body)

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

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

// Enable historical metrics ingestion returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.MetricsApi;
import com.datadog.api.client.v2.model.HistoricalMetricsConfigurationCreateData;
import com.datadog.api.client.v2.model.HistoricalMetricsConfigurationCreateRequest;
import com.datadog.api.client.v2.model.HistoricalMetricsConfigurationResponse;
import com.datadog.api.client.v2.model.HistoricalMetricsConfigurationType;

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

    HistoricalMetricsConfigurationCreateRequest body =
        new HistoricalMetricsConfigurationCreateRequest()
            .data(
                new HistoricalMetricsConfigurationCreateData()
                    .id("dd.test.metric")
                    .type(HistoricalMetricsConfigurationType.HISTORICAL_METRICS_CONFIGURATIONS));

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

// Enable historical metrics ingestion returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_metrics::MetricsAPI;
use datadog_api_client::datadogV2::model::HistoricalMetricsConfigurationCreateData;
use datadog_api_client::datadogV2::model::HistoricalMetricsConfigurationCreateRequest;
use datadog_api_client::datadogV2::model::HistoricalMetricsConfigurationType;

#[tokio::main]
async fn main() {
    let body = HistoricalMetricsConfigurationCreateRequest::new(
        HistoricalMetricsConfigurationCreateData::new(
            "dd.test.metric".to_string(),
            HistoricalMetricsConfigurationType::HISTORICAL_METRICS_CONFIGURATIONS,
        ),
    );
    let mut configuration = datadog::Configuration::new();
    configuration
        .set_unstable_operation_enabled("v2.create_historical_metrics_configuration", true);
    let api = MetricsAPI::with_config(configuration);
    let resp = api.create_historical_metrics_configuration(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Enable historical metrics ingestion 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,
    },
  },
});
configuration.unstableOperations["v2.createHistoricalMetricsConfiguration"] =
  true;
const apiInstance = new v2.MetricsApi(configuration);

const params: v2.MetricsApiCreateHistoricalMetricsConfigurationRequest = {
  body: {
    data: {
      id: "dd.test.metric",
      type: "historical_metrics_configurations",
    },
  },
};

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