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// Create a dataset returns "Created" 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.SecurityMonitoringDatasetCreateRequest{
		Data: datadogV2.SecurityMonitoringDatasetCreateData{
			Attributes: datadogV2.SecurityMonitoringDatasetAttributesRequest{
				Definition: datadogV2.SecurityMonitoringDatasetDefinition{
					Columns: []datadogV2.SecurityMonitoringDatasetColumn{
						{
							Column: "message",
							Type:   "string",
						},
					},
					DataSource:  "logs",
					Indexes:     []string{},
					Name:        "sample_dataset",
					QueryFilter: datadog.PtrString("status = 'active'"),
					Search: &datadogV2.SecurityMonitoringDatasetSearch{
						Query: "*",
					},
					Storage:   datadog.PtrString("hot"),
					TableName: datadog.PtrString("my_reference_table"),
					TimeWindow: &datadogV2.SecurityMonitoringDatasetTimeWindow{
						From: datadog.PtrInt64(1700000000000),
						To:   datadog.PtrInt64(1700003600000),
					},
				},
				Description: datadog.PtrString("A sample dataset used for detection rules."),
				Version:     datadog.PtrInt64(1),
			},
			Type: datadogV2.SECURITYMONITORINGDATASETCREATETYPE_DATASET_CREATE,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateSecurityMonitoringDataset", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSecurityMonitoringApi(apiClient)
	resp, r, err := api.CreateSecurityMonitoringDataset(ctx, body)

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

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

// Create a dataset returns "Created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SecurityMonitoringApi;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetAttributesRequest;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetColumn;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetCreateData;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetCreateRequest;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetCreateResponse;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetCreateType;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetDefinition;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetSearch;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetTimeWindow;
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.createSecurityMonitoringDataset", true);
    SecurityMonitoringApi apiInstance = new SecurityMonitoringApi(defaultClient);

    SecurityMonitoringDatasetCreateRequest body =
        new SecurityMonitoringDatasetCreateRequest()
            .data(
                new SecurityMonitoringDatasetCreateData()
                    .attributes(
                        new SecurityMonitoringDatasetAttributesRequest()
                            .definition(
                                new SecurityMonitoringDatasetDefinition()
                                    .columns(
                                        Collections.singletonList(
                                            new SecurityMonitoringDatasetColumn()
                                                .column("message")
                                                .type("string")))
                                    .dataSource("logs")
                                    .name("sample_dataset")
                                    .queryFilter("status = 'active'")
                                    .search(new SecurityMonitoringDatasetSearch().query("*"))
                                    .storage("hot")
                                    .tableName("my_reference_table")
                                    .timeWindow(
                                        new SecurityMonitoringDatasetTimeWindow()
                                            .from(1700000000000L)
                                            .to(1700003600000L)))
                            .description("A sample dataset used for detection rules.")
                            .version(1L))
                    .type(SecurityMonitoringDatasetCreateType.DATASET_CREATE));

    try {
      SecurityMonitoringDatasetCreateResponse result =
          apiInstance.createSecurityMonitoringDataset(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println(
          "Exception when calling SecurityMonitoringApi#createSecurityMonitoringDataset");
      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 "Created" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.security_monitoring_api import SecurityMonitoringApi
from datadog_api_client.v2.model.security_monitoring_dataset_attributes_request import (
    SecurityMonitoringDatasetAttributesRequest,
)
from datadog_api_client.v2.model.security_monitoring_dataset_column import SecurityMonitoringDatasetColumn
from datadog_api_client.v2.model.security_monitoring_dataset_create_data import SecurityMonitoringDatasetCreateData
from datadog_api_client.v2.model.security_monitoring_dataset_create_request import (
    SecurityMonitoringDatasetCreateRequest,
)
from datadog_api_client.v2.model.security_monitoring_dataset_create_type import SecurityMonitoringDatasetCreateType
from datadog_api_client.v2.model.security_monitoring_dataset_definition import SecurityMonitoringDatasetDefinition
from datadog_api_client.v2.model.security_monitoring_dataset_search import SecurityMonitoringDatasetSearch
from datadog_api_client.v2.model.security_monitoring_dataset_time_window import SecurityMonitoringDatasetTimeWindow

body = SecurityMonitoringDatasetCreateRequest(
    data=SecurityMonitoringDatasetCreateData(
        attributes=SecurityMonitoringDatasetAttributesRequest(
            definition=SecurityMonitoringDatasetDefinition(
                columns=[
                    SecurityMonitoringDatasetColumn(
                        column="message",
                        type="string",
                    ),
                ],
                data_source="logs",
                indexes=[],
                name="sample_dataset",
                query_filter="status = 'active'",
                search=SecurityMonitoringDatasetSearch(
                    query="*",
                ),
                storage="hot",
                table_name="my_reference_table",
                time_window=SecurityMonitoringDatasetTimeWindow(
                    _from=1700000000000,
                    to=1700003600000,
                ),
            ),
            description="A sample dataset used for detection rules.",
            version=1,
        ),
        type=SecurityMonitoringDatasetCreateType.DATASET_CREATE,
    ),
)

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

    print(response)

# Create a dataset returns "Created" response

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

body = DatadogAPIClient::V2::SecurityMonitoringDatasetCreateRequest.new({
  data: DatadogAPIClient::V2::SecurityMonitoringDatasetCreateData.new({
    attributes: DatadogAPIClient::V2::SecurityMonitoringDatasetAttributesRequest.new({
      definition: DatadogAPIClient::V2::SecurityMonitoringDatasetDefinition.new({
        columns: [
          DatadogAPIClient::V2::SecurityMonitoringDatasetColumn.new({
            column: "message",
            type: "string",
          }),
        ],
        data_source: "logs",
        indexes: [],
        name: "sample_dataset",
        query_filter: "status = 'active'",
        search: DatadogAPIClient::V2::SecurityMonitoringDatasetSearch.new({
          query: "*",
        }),
        storage: "hot",
        table_name: "my_reference_table",
        time_window: DatadogAPIClient::V2::SecurityMonitoringDatasetTimeWindow.new({
          from: 1700000000000,
          to: 1700003600000,
        }),
      }),
      description: "A sample dataset used for detection rules.",
      version: 1,
    }),
    type: DatadogAPIClient::V2::SecurityMonitoringDatasetCreateType::DATASET_CREATE,
  }),
})
p api_instance.create_security_monitoring_dataset(body)

// Create a dataset returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_security_monitoring::SecurityMonitoringAPI;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetAttributesRequest;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetColumn;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetCreateData;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetCreateRequest;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetCreateType;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetDefinition;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetSearch;
use datadog_api_client::datadogV2::model::SecurityMonitoringDatasetTimeWindow;

#[tokio::main]
async fn main() {
    let body =
        SecurityMonitoringDatasetCreateRequest::new(SecurityMonitoringDatasetCreateData::new(
            SecurityMonitoringDatasetAttributesRequest::new(
                SecurityMonitoringDatasetDefinition::new(
                    "logs".to_string(),
                    "sample_dataset".to_string(),
                )
                .columns(vec![SecurityMonitoringDatasetColumn::new(
                    "message".to_string(),
                    "string".to_string(),
                )])
                .indexes(vec![])
                .query_filter("status = 'active'".to_string())
                .search(SecurityMonitoringDatasetSearch::new("*".to_string()))
                .storage("hot".to_string())
                .table_name("my_reference_table".to_string())
                .time_window(
                    SecurityMonitoringDatasetTimeWindow::new()
                        .from(1700000000000)
                        .to(1700003600000),
                ),
            )
            .description("A sample dataset used for detection rules.".to_string())
            .version(1),
            SecurityMonitoringDatasetCreateType::DATASET_CREATE,
        ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.create_security_monitoring_dataset", true);
    let api = SecurityMonitoringAPI::with_config(configuration);
    let resp = api.create_security_monitoring_dataset(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create a dataset returns "Created" 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.createSecurityMonitoringDataset"] = true;
const apiInstance = new v2.SecurityMonitoringApi(configuration);

const params: v2.SecurityMonitoringApiCreateSecurityMonitoringDatasetRequest = {
  body: {
    data: {
      attributes: {
        definition: {
          columns: [
            {
              column: "message",
              type: "string",
            },
          ],
          dataSource: "logs",
          indexes: [],
          name: "sample_dataset",
          queryFilter: "status = 'active'",
          search: {
            query: "*",
          },
          storage: "hot",
          tableName: "my_reference_table",
          timeWindow: {
            from: 1700000000000,
            to: 1700003600000,
          },
        },
        description: "A sample dataset used for detection rules.",
        version: 1,
      },
      type: "datasetCreate",
    },
  },
};

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