Submit metrics

// Submit deflate metrics returns "Payload accepted" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	body := datadogV1.MetricsPayload{
		Series: []datadogV1.Series{
			{
				Metric: "system.load.1",
				Type:   datadog.PtrString("gauge"),
				Points: [][]*float64{
					{
						datadog.PtrFloat64(float64(time.Now().Unix())),
						datadog.PtrFloat64(1.1),
					},
				},
				Tags: []string{
					"test:ExampleMetric",
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewMetricsApi(apiClient)
	resp, r, err := api.SubmitMetrics(ctx, body, *datadogV1.NewSubmitMetricsOptionalParameters().WithContentEncoding(datadogV1.METRICCONTENTENCODING_DEFLATE))

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

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

// Submit deflate metrics returns "Payload accepted" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MetricsApi;
import com.datadog.api.client.v1.api.MetricsApi.SubmitMetricsOptionalParameters;
import com.datadog.api.client.v1.model.IntakePayloadAccepted;
import com.datadog.api.client.v1.model.MetricContentEncoding;
import com.datadog.api.client.v1.model.MetricsPayload;
import com.datadog.api.client.v1.model.Series;
import java.time.OffsetDateTime;
import java.util.Arrays;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    MetricsApi apiInstance = new MetricsApi(defaultClient);

    MetricsPayload body =
        new MetricsPayload()
            .series(
                Collections.singletonList(
                    new Series()
                        .metric("system.load.1")
                        .type("gauge")
                        .points(
                            Collections.singletonList(
                                Arrays.asList(
                                    Long.valueOf(OffsetDateTime.now().toInstant().getEpochSecond())
                                        .doubleValue(),
                                    1.1)))
                        .tags(Collections.singletonList("test:ExampleMetric"))));

    try {
      IntakePayloadAccepted result =
          apiInstance.submitMetrics(
              body,
              new SubmitMetricsOptionalParameters().contentEncoding(MetricContentEncoding.DEFLATE));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#submitMetrics");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

"""
Submit deflate metrics returns "Payload accepted" response
"""

from datetime import datetime
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi
from datadog_api_client.v1.model.metric_content_encoding import MetricContentEncoding
from datadog_api_client.v1.model.metrics_payload import MetricsPayload
from datadog_api_client.v1.model.point import Point
from datadog_api_client.v1.model.series import Series

body = MetricsPayload(
    series=[
        Series(
            metric="system.load.1",
            type="gauge",
            points=[
                Point(
                    [
                        datetime.now().timestamp(),
                        1.1,
                    ]
                ),
            ],
            tags=[
                "test:ExampleMetric",
            ],
        ),
    ],
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.submit_metrics(content_encoding=MetricContentEncoding.DEFLATE, body=body)

    print(response)

# Submit deflate metrics returns "Payload accepted" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new

body = DatadogAPIClient::V1::MetricsPayload.new({
  series: [
    DatadogAPIClient::V1::Series.new({
      metric: "system.load.1",
      type: "gauge",
      points: [
        [
          Time.now.to_f,
          1.1,
        ],
      ],
      tags: [
        "test:ExampleMetric",
      ],
    }),
  ],
})
opts = {
  content_encoding: MetricContentEncoding::DEFLATE,
}
p api_instance.submit_metrics(body, opts)

// Submit deflate metrics returns "Payload accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;
use datadog_api_client::datadogV1::api_metrics::SubmitMetricsOptionalParams;
use datadog_api_client::datadogV1::model::MetricContentEncoding;
use datadog_api_client::datadogV1::model::MetricsPayload;
use datadog_api_client::datadogV1::model::Series;

#[tokio::main]
async fn main() {
    let body = MetricsPayload::new(vec![Series::new(
        "system.load.1".to_string(),
        vec![vec![Some(1636629071.0 as f64), Some(1.1 as f64)]],
    )
    .tags(vec!["test:ExampleMetric".to_string()])
    .type_("gauge".to_string())]);
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .submit_metrics(
            body,
            SubmitMetricsOptionalParams::default().content_encoding(MetricContentEncoding::DEFLATE),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}