インデックスを作成する

// Create an index 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/datadogV1"
)

func main() {
	body := datadogV1.LogsIndex{
		DailyLimit: datadog.PtrInt64(300000000),
		DailyLimitReset: &datadogV1.LogsDailyLimitReset{
			ResetTime:      datadog.PtrString("14:00"),
			ResetUtcOffset: datadog.PtrString("+02:00"),
		},
		DailyLimitWarningThresholdPercentage: datadog.PtrFloat64(70),
		ExclusionFilters: []datadogV1.LogsExclusion{
			{
				Filter: &datadogV1.LogsExclusionFilter{
					Query:           datadog.PtrString("*"),
					SampleAttribute: datadog.PtrString("@ci.job_id"),
					SampleRate:      1.0,
				},
				Name: "payment",
			},
		},
		Filter: datadogV1.LogsFilter{
			Query: datadog.PtrString("source:python"),
		},
		Name:                     "main",
		NumFlexLogsRetentionDays: datadog.PtrInt64(360),
		NumRetentionDays:         datadog.PtrInt64(15),
		Tags: []string{
			"team:backend",
			"env:production",
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewLogsIndexesApi(apiClient)
	resp, r, err := api.CreateLogsIndex(ctx, body)

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

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

// Create an index returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.LogsIndexesApi;
import com.datadog.api.client.v1.model.LogsDailyLimitReset;
import com.datadog.api.client.v1.model.LogsExclusion;
import com.datadog.api.client.v1.model.LogsExclusionFilter;
import com.datadog.api.client.v1.model.LogsFilter;
import com.datadog.api.client.v1.model.LogsIndex;
import java.util.Arrays;
import java.util.Collections;

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

    LogsIndex body =
        new LogsIndex()
            .dailyLimit(300000000L)
            .dailyLimitReset(new LogsDailyLimitReset().resetTime("14:00").resetUtcOffset("+02:00"))
            .dailyLimitWarningThresholdPercentage(70.0)
            .exclusionFilters(
                Collections.singletonList(
                    new LogsExclusion()
                        .filter(
                            new LogsExclusionFilter()
                                .query("*")
                                .sampleAttribute("@ci.job_id")
                                .sampleRate(1.0))
                        .name("payment")))
            .filter(new LogsFilter().query("source:python"))
            .name("main")
            .numFlexLogsRetentionDays(360L)
            .numRetentionDays(15L)
            .tags(Arrays.asList("team:backend", "env:production"));

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

"""
Create an index returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.logs_indexes_api import LogsIndexesApi
from datadog_api_client.v1.model.logs_daily_limit_reset import LogsDailyLimitReset
from datadog_api_client.v1.model.logs_exclusion import LogsExclusion
from datadog_api_client.v1.model.logs_exclusion_filter import LogsExclusionFilter
from datadog_api_client.v1.model.logs_filter import LogsFilter
from datadog_api_client.v1.model.logs_index import LogsIndex

body = LogsIndex(
    daily_limit=300000000,
    daily_limit_reset=LogsDailyLimitReset(
        reset_time="14:00",
        reset_utc_offset="+02:00",
    ),
    daily_limit_warning_threshold_percentage=70.0,
    exclusion_filters=[
        LogsExclusion(
            filter=LogsExclusionFilter(
                query="*",
                sample_attribute="@ci.job_id",
                sample_rate=1.0,
            ),
            name="payment",
        ),
    ],
    filter=LogsFilter(
        query="source:python",
    ),
    name="main",
    num_flex_logs_retention_days=360,
    num_retention_days=15,
    tags=[
        "team:backend",
        "env:production",
    ],
)

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

    print(response)

# Create an index returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V1::LogsIndexesAPI.new

body = DatadogAPIClient::V1::LogsIndex.new({
  daily_limit: 300000000,
  daily_limit_reset: DatadogAPIClient::V1::LogsDailyLimitReset.new({
    reset_time: "14:00",
    reset_utc_offset: "+02:00",
  }),
  daily_limit_warning_threshold_percentage: 70,
  exclusion_filters: [
    DatadogAPIClient::V1::LogsExclusion.new({
      filter: DatadogAPIClient::V1::LogsExclusionFilter.new({
        query: "*",
        sample_attribute: "@ci.job_id",
        sample_rate: 1.0,
      }),
      name: "payment",
    }),
  ],
  filter: DatadogAPIClient::V1::LogsFilter.new({
    query: "source:python",
  }),
  name: "main",
  num_flex_logs_retention_days: 360,
  num_retention_days: 15,
  tags: [
    "team:backend",
    "env:production",
  ],
})
p api_instance.create_logs_index(body)

// Create an index returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_logs_indexes::LogsIndexesAPI;
use datadog_api_client::datadogV1::model::LogsDailyLimitReset;
use datadog_api_client::datadogV1::model::LogsExclusion;
use datadog_api_client::datadogV1::model::LogsExclusionFilter;
use datadog_api_client::datadogV1::model::LogsFilter;
use datadog_api_client::datadogV1::model::LogsIndex;

#[tokio::main]
async fn main() {
    let body = LogsIndex::new(
        LogsFilter::new().query("source:python".to_string()),
        "main".to_string(),
    )
    .daily_limit(300000000)
    .daily_limit_reset(
        LogsDailyLimitReset::new()
            .reset_time("14:00".to_string())
            .reset_utc_offset("+02:00".to_string()),
    )
    .daily_limit_warning_threshold_percentage(70.0 as f64)
    .exclusion_filters(vec![LogsExclusion::new("payment".to_string()).filter(
        LogsExclusionFilter::new(1.0)
            .query("*".to_string())
            .sample_attribute("@ci.job_id".to_string()),
    )])
    .num_flex_logs_retention_days(360)
    .num_retention_days(15)
    .tags(vec![
        "team:backend".to_string(),
        "env:production".to_string(),
    ]);
    let configuration = datadog::Configuration::new();
    let api = LogsIndexesAPI::with_config(configuration);
    let resp = api.create_logs_index(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create an index returns "OK" response
 */

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

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
const apiInstance = new v1.LogsIndexesApi(configuration);

const params: v1.LogsIndexesApiCreateLogsIndexRequest = {
  body: {
    dailyLimit: 300000000,
    dailyLimitReset: {
      resetTime: "14:00",
      resetUtcOffset: "+02:00",
    },
    dailyLimitWarningThresholdPercentage: 70,
    exclusionFilters: [
      {
        filter: {
          query: "*",
          sampleAttribute: "@ci.job_id",
          sampleRate: 1.0,
        },
        name: "payment",
      },
    ],
    filter: {
      query: "source:python",
    },
    name: "main",
    numFlexLogsRetentionDays: 360,
    numRetentionDays: 15,
    tags: ["team:backend", "env:production"],
  },
};

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