Actualizar una métrica basada en tramos

// Update a span-based metric 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() {
	// there is a valid "spans_metric" in the system
	SpansMetricDataID := os.Getenv("SPANS_METRIC_DATA_ID")

	body := datadogV2.SpansMetricUpdateRequest{
		Data: datadogV2.SpansMetricUpdateData{
			Attributes: datadogV2.SpansMetricUpdateAttributes{
				Compute: &datadogV2.SpansMetricUpdateCompute{
					IncludePercentiles: datadog.PtrBool(false),
				},
				Filter: &datadogV2.SpansMetricFilter{
					Query: datadog.PtrString("@http.status_code:200 service:my-service-updated"),
				},
				GroupBy: []datadogV2.SpansMetricGroupBy{
					{
						Path:    "resource_name",
						TagName: datadog.PtrString("resource_name"),
					},
				},
			},
			Type: datadogV2.SPANSMETRICTYPE_SPANS_METRICS,
		},
	}
	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.NewSpansMetricsApi(apiClient)
	resp, r, err := api.UpdateSpansMetric(ctx, SpansMetricDataID, body)

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

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

// Update a span-based metric returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SpansMetricsApi;
import com.datadog.api.client.v2.model.SpansMetricFilter;
import com.datadog.api.client.v2.model.SpansMetricGroupBy;
import com.datadog.api.client.v2.model.SpansMetricResponse;
import com.datadog.api.client.v2.model.SpansMetricType;
import com.datadog.api.client.v2.model.SpansMetricUpdateAttributes;
import com.datadog.api.client.v2.model.SpansMetricUpdateCompute;
import com.datadog.api.client.v2.model.SpansMetricUpdateData;
import com.datadog.api.client.v2.model.SpansMetricUpdateRequest;
import java.util.Collections;

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

    // there is a valid "spans_metric" in the system
    String SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY =
        System.getenv("SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY");
    String SPANS_METRIC_DATA_ID = System.getenv("SPANS_METRIC_DATA_ID");

    SpansMetricUpdateRequest body =
        new SpansMetricUpdateRequest()
            .data(
                new SpansMetricUpdateData()
                    .attributes(
                        new SpansMetricUpdateAttributes()
                            .compute(new SpansMetricUpdateCompute().includePercentiles(false))
                            .filter(
                                new SpansMetricFilter()
                                    .query("@http.status_code:200 service:my-service-updated"))
                            .groupBy(
                                Collections.singletonList(
                                    new SpansMetricGroupBy()
                                        .path("resource_name")
                                        .tagName("resource_name"))))
                    .type(SpansMetricType.SPANS_METRICS));

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

"""
Update a span-based metric returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.spans_metrics_api import SpansMetricsApi
from datadog_api_client.v2.model.spans_metric_filter import SpansMetricFilter
from datadog_api_client.v2.model.spans_metric_group_by import SpansMetricGroupBy
from datadog_api_client.v2.model.spans_metric_type import SpansMetricType
from datadog_api_client.v2.model.spans_metric_update_attributes import SpansMetricUpdateAttributes
from datadog_api_client.v2.model.spans_metric_update_compute import SpansMetricUpdateCompute
from datadog_api_client.v2.model.spans_metric_update_data import SpansMetricUpdateData
from datadog_api_client.v2.model.spans_metric_update_request import SpansMetricUpdateRequest

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY = environ["SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY"]
SPANS_METRIC_DATA_ID = environ["SPANS_METRIC_DATA_ID"]

body = SpansMetricUpdateRequest(
    data=SpansMetricUpdateData(
        attributes=SpansMetricUpdateAttributes(
            compute=SpansMetricUpdateCompute(
                include_percentiles=False,
            ),
            filter=SpansMetricFilter(
                query="@http.status_code:200 service:my-service-updated",
            ),
            group_by=[
                SpansMetricGroupBy(
                    path="resource_name",
                    tag_name="resource_name",
                ),
            ],
        ),
        type=SpansMetricType.SPANS_METRICS,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = SpansMetricsApi(api_client)
    response = api_instance.update_spans_metric(metric_id=SPANS_METRIC_DATA_ID, body=body)

    print(response)

# Update a span-based metric returns "OK" response

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

# there is a valid "spans_metric" in the system
SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY = ENV["SPANS_METRIC_DATA_ATTRIBUTES_FILTER_QUERY"]
SPANS_METRIC_DATA_ID = ENV["SPANS_METRIC_DATA_ID"]

body = DatadogAPIClient::V2::SpansMetricUpdateRequest.new({
  data: DatadogAPIClient::V2::SpansMetricUpdateData.new({
    attributes: DatadogAPIClient::V2::SpansMetricUpdateAttributes.new({
      compute: DatadogAPIClient::V2::SpansMetricUpdateCompute.new({
        include_percentiles: false,
      }),
      filter: DatadogAPIClient::V2::SpansMetricFilter.new({
        query: "@http.status_code:200 service:my-service-updated",
      }),
      group_by: [
        DatadogAPIClient::V2::SpansMetricGroupBy.new({
          path: "resource_name",
          tag_name: "resource_name",
        }),
      ],
    }),
    type: DatadogAPIClient::V2::SpansMetricType::SPANS_METRICS,
  }),
})
p api_instance.update_spans_metric(SPANS_METRIC_DATA_ID, body)

// Update a span-based metric returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_spans_metrics::SpansMetricsAPI;
use datadog_api_client::datadogV2::model::SpansMetricFilter;
use datadog_api_client::datadogV2::model::SpansMetricGroupBy;
use datadog_api_client::datadogV2::model::SpansMetricType;
use datadog_api_client::datadogV2::model::SpansMetricUpdateAttributes;
use datadog_api_client::datadogV2::model::SpansMetricUpdateCompute;
use datadog_api_client::datadogV2::model::SpansMetricUpdateData;
use datadog_api_client::datadogV2::model::SpansMetricUpdateRequest;

#[tokio::main]
async fn main() {
    // there is a valid "spans_metric" in the system
    let spans_metric_data_id = std::env::var("SPANS_METRIC_DATA_ID").unwrap();
    let body = SpansMetricUpdateRequest::new(SpansMetricUpdateData::new(
        SpansMetricUpdateAttributes::new()
            .compute(SpansMetricUpdateCompute::new().include_percentiles(false))
            .filter(
                SpansMetricFilter::new()
                    .query("@http.status_code:200 service:my-service-updated".to_string()),
            )
            .group_by(vec![SpansMetricGroupBy::new("resource_name".to_string())
                .tag_name("resource_name".to_string())]),
        SpansMetricType::SPANS_METRICS,
    ));
    let configuration = datadog::Configuration::new();
    let api = SpansMetricsAPI::with_config(configuration);
    let resp = api
        .update_spans_metric(spans_metric_data_id.clone(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Update a span-based metric 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,
    },
  },
});
const apiInstance = new v2.SpansMetricsApi(configuration);

// there is a valid "spans_metric" in the system
const SPANS_METRIC_DATA_ID = process.env.SPANS_METRIC_DATA_ID as string;

const params: v2.SpansMetricsApiUpdateSpansMetricRequest = {
  body: {
    data: {
      attributes: {
        compute: {
          includePercentiles: false,
        },
        filter: {
          query: "@http.status_code:200 service:my-service-updated",
        },
        groupBy: [
          {
            path: "resource_name",
            tagName: "resource_name",
          },
        ],
      },
      type: "spans_metrics",
    },
  },
  metricId: SPANS_METRIC_DATA_ID,
};

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