Create metric

// Create metric returns "Created" 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.ExperimentsCreateMetricV2Request{
		Data: datadogV2.ExperimentsCreateMetricV2RequestData{
			Type: datadogV2.METRICTYPE_METRICS,
			Attributes: datadogV2.ExperimentsCreateMetricV2RequestDataAttributes{
				ExperimentsCreateMetricNumeratorAttributes: &datadogV2.ExperimentsCreateMetricNumeratorAttributes{
					Name:           "ex-14bb9543f523edde",
					DataSourceType: datadogV2.EXPERIMENTSCREATEMETRICV2REQUESTDATAATTRIBUTESDATASOURCETYPE_DATADOG,
					DesiredChange:  datadogV2.EXPERIMENTSCREATEMETRICV2REQUESTDATAATTRIBUTESDESIREDCHANGE_METRIC_INCREASES,
					NumeratorAggregation: datadogV2.ExperimentsCreateMetricV2RequestDataAttributesNumeratorAggregation{
						ExperimentsDatadogMetricAggregationInput: &datadogV2.ExperimentsDatadogMetricAggregationInput{
							Operation: "sum",
							DatadogMetricMeasure: datadogV2.ExperimentsDatadogMetricMeasureInput{
								Name:          "ex-14bb9543f523edde view duration",
								SourceType:    "PRODUCT_ANALYTICS",
								SourceSubtype: "RUM_VIEWS",
								ColumnType:    "double",
								ColumnName:    datadog.PtrString("@view.time_spent"),
							},
						}},
				}},
		},
	}
	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.NewExperimentsApi(apiClient)
	resp, r, err := api.CreateMetric(ctx, body)

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

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

// Create metric returns "Created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ExperimentsApi;
import com.datadog.api.client.v2.model.ExperimentsCreateMetricNumeratorAttributes;
import com.datadog.api.client.v2.model.ExperimentsCreateMetricV2Request;
import com.datadog.api.client.v2.model.ExperimentsCreateMetricV2RequestData;
import com.datadog.api.client.v2.model.ExperimentsCreateMetricV2RequestDataAttributes;
import com.datadog.api.client.v2.model.ExperimentsCreateMetricV2RequestDataAttributesDataSourceType;
import com.datadog.api.client.v2.model.ExperimentsCreateMetricV2RequestDataAttributesDesiredChange;
import com.datadog.api.client.v2.model.ExperimentsCreateMetricV2RequestDataAttributesNumeratorAggregation;
import com.datadog.api.client.v2.model.ExperimentsDatadogMetricAggregationInput;
import com.datadog.api.client.v2.model.ExperimentsDatadogMetricMeasureInput;
import com.datadog.api.client.v2.model.ExperimentsMetricV2DTO;
import com.datadog.api.client.v2.model.MetricType;

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

    ExperimentsCreateMetricV2Request body =
        new ExperimentsCreateMetricV2Request()
            .data(
                new ExperimentsCreateMetricV2RequestData()
                    .type(MetricType.METRICS)
                    .attributes(
                        new ExperimentsCreateMetricV2RequestDataAttributes(
                            new ExperimentsCreateMetricNumeratorAttributes()
                                .name("ex-14bb9543f523edde")
                                .dataSourceType(
                                    ExperimentsCreateMetricV2RequestDataAttributesDataSourceType
                                        .DATADOG)
                                .desiredChange(
                                    ExperimentsCreateMetricV2RequestDataAttributesDesiredChange
                                        .METRIC_INCREASES)
                                .numeratorAggregation(
                                    new ExperimentsCreateMetricV2RequestDataAttributesNumeratorAggregation(
                                        new ExperimentsDatadogMetricAggregationInput()
                                            .operation("sum")
                                            .datadogMetricMeasure(
                                                new ExperimentsDatadogMetricMeasureInput()
                                                    .name("ex-14bb9543f523edde view duration")
                                                    .sourceType("PRODUCT_ANALYTICS")
                                                    .sourceSubtype("RUM_VIEWS")
                                                    .columnType("double")
                                                    .columnName("@view.time_spent")))))));

    try {
      ExperimentsMetricV2DTO result = apiInstance.createMetric(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling ExperimentsApi#createMetric");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

"""
Create metric returns "Created" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.experiments_api import ExperimentsApi
from datadog_api_client.v2.model.experiments_create_metric_numerator_attributes import (
    ExperimentsCreateMetricNumeratorAttributes,
)
from datadog_api_client.v2.model.experiments_create_metric_v2_request import ExperimentsCreateMetricV2Request
from datadog_api_client.v2.model.experiments_create_metric_v2_request_data import ExperimentsCreateMetricV2RequestData
from datadog_api_client.v2.model.experiments_create_metric_v2_request_data_attributes_data_source_type import (
    ExperimentsCreateMetricV2RequestDataAttributesDataSourceType,
)
from datadog_api_client.v2.model.experiments_create_metric_v2_request_data_attributes_desired_change import (
    ExperimentsCreateMetricV2RequestDataAttributesDesiredChange,
)
from datadog_api_client.v2.model.experiments_datadog_metric_aggregation_input import (
    ExperimentsDatadogMetricAggregationInput,
)
from datadog_api_client.v2.model.experiments_datadog_metric_measure_input import ExperimentsDatadogMetricMeasureInput
from datadog_api_client.v2.model.metric_type import MetricType

body = ExperimentsCreateMetricV2Request(
    data=ExperimentsCreateMetricV2RequestData(
        type=MetricType.METRICS,
        attributes=ExperimentsCreateMetricNumeratorAttributes(
            name="ex-14bb9543f523edde",
            data_source_type=ExperimentsCreateMetricV2RequestDataAttributesDataSourceType.DATADOG,
            desired_change=ExperimentsCreateMetricV2RequestDataAttributesDesiredChange.METRIC_INCREASES,
            numerator_aggregation=ExperimentsDatadogMetricAggregationInput(
                operation="sum",
                datadog_metric_measure=ExperimentsDatadogMetricMeasureInput(
                    name="ex-14bb9543f523edde view duration",
                    source_type="PRODUCT_ANALYTICS",
                    source_subtype="RUM_VIEWS",
                    column_type="double",
                    column_name="@view.time_spent",
                ),
            ),
        ),
    ),
)

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

    print(response)

# Create metric returns "Created" response

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

body = DatadogAPIClient::V2::ExperimentsCreateMetricV2Request.new({
  data: DatadogAPIClient::V2::ExperimentsCreateMetricV2RequestData.new({
    type: DatadogAPIClient::V2::MetricType::METRICS,
    attributes: DatadogAPIClient::V2::ExperimentsCreateMetricNumeratorAttributes.new({
      name: "ex-14bb9543f523edde",
      data_source_type: DatadogAPIClient::V2::ExperimentsCreateMetricV2RequestDataAttributesDataSourceType::DATADOG,
      desired_change: DatadogAPIClient::V2::ExperimentsCreateMetricV2RequestDataAttributesDesiredChange::METRIC_INCREASES,
      numerator_aggregation: DatadogAPIClient::V2::ExperimentsDatadogMetricAggregationInput.new({
        operation: "sum",
        datadog_metric_measure: DatadogAPIClient::V2::ExperimentsDatadogMetricMeasureInput.new({
          name: "ex-14bb9543f523edde view duration",
          source_type: "PRODUCT_ANALYTICS",
          source_subtype: "RUM_VIEWS",
          column_type: "double",
          column_name: "@view.time_spent",
        }),
      }),
    }),
  }),
})
p api_instance.create_metric(body)

// Create metric returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI;
use datadog_api_client::datadogV2::model::ExperimentsCreateMetricNumeratorAttributes;
use datadog_api_client::datadogV2::model::ExperimentsCreateMetricV2Request;
use datadog_api_client::datadogV2::model::ExperimentsCreateMetricV2RequestData;
use datadog_api_client::datadogV2::model::ExperimentsCreateMetricV2RequestDataAttributes;
use datadog_api_client::datadogV2::model::ExperimentsCreateMetricV2RequestDataAttributesDataSourceType;
use datadog_api_client::datadogV2::model::ExperimentsCreateMetricV2RequestDataAttributesDesiredChange;
use datadog_api_client::datadogV2::model::ExperimentsCreateMetricV2RequestDataAttributesNumeratorAggregation;
use datadog_api_client::datadogV2::model::ExperimentsDatadogMetricAggregationInput;
use datadog_api_client::datadogV2::model::ExperimentsDatadogMetricMeasureInput;
use datadog_api_client::datadogV2::model::MetricType;

#[tokio::main]
async fn main() {
    let body =
        ExperimentsCreateMetricV2Request::new(
            ExperimentsCreateMetricV2RequestData::new(
                ExperimentsCreateMetricV2RequestDataAttributes::ExperimentsCreateMetricNumeratorAttributes(
                    Box::new(
                        ExperimentsCreateMetricNumeratorAttributes::new(
                            ExperimentsCreateMetricV2RequestDataAttributesDataSourceType::DATADOG,
                            ExperimentsCreateMetricV2RequestDataAttributesDesiredChange::METRIC_INCREASES,
                            "ex-14bb9543f523edde".to_string(),
                            ExperimentsCreateMetricV2RequestDataAttributesNumeratorAggregation
                            ::ExperimentsDatadogMetricAggregationInput(
                                Box::new(
                                    ExperimentsDatadogMetricAggregationInput::new(
                                        ExperimentsDatadogMetricMeasureInput::new(
                                            "double".to_string(),
                                            "ex-14bb9543f523edde view duration".to_string(),
                                            "RUM_VIEWS".to_string(),
                                            "PRODUCT_ANALYTICS".to_string(),
                                        ).column_name("@view.time_spent".to_string()),
                                        "sum".to_string(),
                                    ),
                                ),
                            ),
                        ),
                    ),
                ),
                MetricType::METRICS,
            ),
        );
    let configuration = datadog::Configuration::new();
    let api = ExperimentsAPI::with_config(configuration);
    let resp = api.create_metric(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}