Créer un ensemble de données

// Create a dataset 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() {
	body := datadogV2.DatasetCreateRequest{
		Data: datadogV2.DatasetRequest{
			Attributes: datadogV2.DatasetAttributesRequest{
				Name: "Security Audit Dataset",
				Principals: []string{
					"role:94172442-be03-11e9-a77a-3b7612558ac1",
				},
				ProductFilters: []datadogV2.FiltersPerProduct{
					{
						Filters: []string{
							"@application.id:ABCD",
						},
						Product: "metrics",
					},
				},
			},
			Type: datadogV2.DATASETTYPE_DATASET,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateDataset", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewDatasetsApi(apiClient)
	resp, r, err := api.CreateDataset(ctx, body)

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

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

// Create a dataset returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DatasetsApi;
import com.datadog.api.client.v2.model.DatasetAttributesRequest;
import com.datadog.api.client.v2.model.DatasetCreateRequest;
import com.datadog.api.client.v2.model.DatasetRequest;
import com.datadog.api.client.v2.model.DatasetResponseSingle;
import com.datadog.api.client.v2.model.DatasetType;
import com.datadog.api.client.v2.model.FiltersPerProduct;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    defaultClient.setUnstableOperationEnabled("v2.createDataset", true);
    DatasetsApi apiInstance = new DatasetsApi(defaultClient);

    DatasetCreateRequest body =
        new DatasetCreateRequest()
            .data(
                new DatasetRequest()
                    .attributes(
                        new DatasetAttributesRequest()
                            .name("Security Audit Dataset")
                            .principals(
                                Collections.singletonList(
                                    "role:94172442-be03-11e9-a77a-3b7612558ac1"))
                            .productFilters(
                                Collections.singletonList(
                                    new FiltersPerProduct()
                                        .filters(Collections.singletonList("@application.id:ABCD"))
                                        .product("metrics"))))
                    .type(DatasetType.DATASET));

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

"""
Create a dataset returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.datasets_api import DatasetsApi
from datadog_api_client.v2.model.dataset_attributes_request import DatasetAttributesRequest
from datadog_api_client.v2.model.dataset_create_request import DatasetCreateRequest
from datadog_api_client.v2.model.dataset_request import DatasetRequest
from datadog_api_client.v2.model.dataset_type import DatasetType
from datadog_api_client.v2.model.filters_per_product import FiltersPerProduct

body = DatasetCreateRequest(
    data=DatasetRequest(
        attributes=DatasetAttributesRequest(
            name="Security Audit Dataset",
            principals=[
                "role:94172442-be03-11e9-a77a-3b7612558ac1",
            ],
            product_filters=[
                FiltersPerProduct(
                    filters=[
                        "@application.id:ABCD",
                    ],
                    product="metrics",
                ),
            ],
        ),
        type=DatasetType.DATASET,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_dataset"] = True
with ApiClient(configuration) as api_client:
    api_instance = DatasetsApi(api_client)
    response = api_instance.create_dataset(body=body)

    print(response)

# Create a dataset returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
  config.unstable_operations["v2.create_dataset".to_sym] = true
end
api_instance = DatadogAPIClient::V2::DatasetsAPI.new

body = DatadogAPIClient::V2::DatasetCreateRequest.new({
  data: DatadogAPIClient::V2::DatasetRequest.new({
    attributes: DatadogAPIClient::V2::DatasetAttributesRequest.new({
      name: "Security Audit Dataset",
      principals: [
        "role:94172442-be03-11e9-a77a-3b7612558ac1",
      ],
      product_filters: [
        DatadogAPIClient::V2::FiltersPerProduct.new({
          filters: [
            "@application.id:ABCD",
          ],
          product: "metrics",
        }),
      ],
    }),
    type: DatadogAPIClient::V2::DatasetType::DATASET,
  }),
})
p api_instance.create_dataset(body)

// Create a dataset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_datasets::DatasetsAPI;
use datadog_api_client::datadogV2::model::DatasetAttributesRequest;
use datadog_api_client::datadogV2::model::DatasetCreateRequest;
use datadog_api_client::datadogV2::model::DatasetRequest;
use datadog_api_client::datadogV2::model::DatasetType;
use datadog_api_client::datadogV2::model::FiltersPerProduct;

#[tokio::main]
async fn main() {
    let body = DatasetCreateRequest::new(DatasetRequest::new(
        DatasetAttributesRequest::new(
            "Security Audit Dataset".to_string(),
            vec!["role:94172442-be03-11e9-a77a-3b7612558ac1".to_string()],
            vec![FiltersPerProduct::new(
                vec!["@application.id:ABCD".to_string()],
                "metrics".to_string(),
            )],
        ),
        DatasetType::DATASET,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.create_dataset", true);
    let api = DatasetsAPI::with_config(configuration);
    let resp = api.create_dataset(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create a dataset 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,
    },
  },
});
configuration.unstableOperations["v2.createDataset"] = true;
const apiInstance = new v2.DatasetsApi(configuration);

const params: v2.DatasetsApiCreateDatasetRequest = {
  body: {
    data: {
      attributes: {
        name: "Security Audit Dataset",
        principals: ["role:94172442-be03-11e9-a77a-3b7612558ac1"],
        productFilters: [
          {
            filters: ["@application.id:ABCD"],
            product: "metrics",
          },
        ],
      },
      type: "dataset",
    },
  },
};

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