Query timeseries points

"""
Query timeseries points returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.metrics_api import MetricsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.query_metrics(
        _from=int((datetime.now() + relativedelta(days=-1)).timestamp()),
        to=int(datetime.now().timestamp()),
        query="system.cpu.idle{*}",
    )

    print(response)

# Query timeseries points returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::MetricsAPI.new
p api_instance.query_metrics((Time.now + -1 * 86400).to_i, Time.now.to_i, "system.cpu.idle{*}")

require 'rubygems'
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

dog = Dogapi::Client.new(api_key, app_key)

# Get points from the last hour
from = Time.now - 3600
to = Time.now
query = 'system.cpu.idle{*}by{host}'

dog.get_points(query, from, to)

// Query timeseries points returns "OK" 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() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewMetricsApi(apiClient)
	resp, r, err := api.QueryMetrics(ctx, time.Now().AddDate(0, 0, -1).Unix(), time.Now().Unix(), "system.cpu.idle{*}")

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

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

// Query timeseries points returns "OK" 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.model.MetricsQueryResponse;
import java.time.OffsetDateTime;

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

    try {
      MetricsQueryResponse result =
          apiInstance.queryMetrics(
              OffsetDateTime.now().plusDays(-1).toInstant().getEpochSecond(),
              OffsetDateTime.now().toInstant().getEpochSecond(),
              "system.cpu.idle{*}");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MetricsApi#queryMetrics");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

from datadog import initialize, api
import time

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

initialize(**options)

now = int(time.time())

query = 'system.cpu.idle{*}by{host}'
print(api.Metric.query(start=now - 3600, end=now, query=query))

// Query timeseries points returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_metrics::MetricsAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = MetricsAPI::with_config(configuration);
    let resp = api
        .query_metrics(1636542671, 1636629071, "system.cpu.idle{*}".to_string())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Query timeseries points returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.MetricsApi(configuration);

const params: v1.MetricsApiQueryMetricsRequest = {
  from: Math.round(
    new Date(new Date().getTime() + -1 * 86400 * 1000).getTime() / 1000
  ),
  to: Math.round(new Date().getTime() / 1000),
  query: "system.cpu.idle{*}",
};

apiInstance
  .queryMetrics(params)
  .then((data: v1.MetricsQueryResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));