Create an AI custom rule

"""
Create an AI custom rule returns "Successfully created" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.static_analysis_api import StaticAnalysisApi
from datadog_api_client.v2.model.ai_custom_rule_data_type import AiCustomRuleDataType
from datadog_api_client.v2.model.ai_custom_rule_request import AiCustomRuleRequest
from datadog_api_client.v2.model.ai_custom_rule_request_attributes import AiCustomRuleRequestAttributes
from datadog_api_client.v2.model.ai_custom_rule_request_data import AiCustomRuleRequestData

body = AiCustomRuleRequest(
    data=AiCustomRuleRequestData(
        attributes=AiCustomRuleRequestAttributes(
            name="my-ai-rule",
        ),
        id="my-ai-rule",
        type=AiCustomRuleDataType.AI_RULE,
    ),
)

configuration = Configuration()
configuration.unstable_operations["create_ai_custom_rule"] = True
with ApiClient(configuration) as api_client:
    api_instance = StaticAnalysisApi(api_client)
    response = api_instance.create_ai_custom_rule(ruleset_name="my-ai-ruleset", body=body)

    print(response)

# Create an AI custom rule returns "Successfully created" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.create_ai_custom_rule".to_sym] = true
end
api_instance = DatadogAPIClient::V2::StaticAnalysisAPI.new

body = DatadogAPIClient::V2::AiCustomRuleRequest.new({
  data: DatadogAPIClient::V2::AiCustomRuleRequestData.new({
    attributes: DatadogAPIClient::V2::AiCustomRuleRequestAttributes.new({
      name: "my-ai-rule",
    }),
    id: "my-ai-rule",
    type: DatadogAPIClient::V2::AiCustomRuleDataType::AI_RULE,
  }),
})
p api_instance.create_ai_custom_rule("my-ai-ruleset", body)

// Create an AI custom rule returns "Successfully 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.AiCustomRuleRequest{
		Data: &datadogV2.AiCustomRuleRequestData{
			Attributes: &datadogV2.AiCustomRuleRequestAttributes{
				Name: datadog.PtrString("my-ai-rule"),
			},
			Id:   datadog.PtrString("my-ai-rule"),
			Type: datadogV2.AICUSTOMRULEDATATYPE_AI_RULE.Ptr(),
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateAiCustomRule", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewStaticAnalysisApi(apiClient)
	resp, r, err := api.CreateAiCustomRule(ctx, "my-ai-ruleset", body)

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

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

// Create an AI custom rule returns "Successfully created" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.StaticAnalysisApi;
import com.datadog.api.client.v2.model.AiCustomRuleDataType;
import com.datadog.api.client.v2.model.AiCustomRuleRequest;
import com.datadog.api.client.v2.model.AiCustomRuleRequestAttributes;
import com.datadog.api.client.v2.model.AiCustomRuleRequestData;
import com.datadog.api.client.v2.model.AiCustomRuleResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setUnstableOperationEnabled("v2.createAiCustomRule", true);
    StaticAnalysisApi apiInstance = new StaticAnalysisApi(defaultClient);

    AiCustomRuleRequest body =
        new AiCustomRuleRequest()
            .data(
                new AiCustomRuleRequestData()
                    .attributes(new AiCustomRuleRequestAttributes().name("my-ai-rule"))
                    .id("my-ai-rule")
                    .type(AiCustomRuleDataType.AI_RULE));

    try {
      AiCustomRuleResponse result = apiInstance.createAiCustomRule("my-ai-ruleset", body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling StaticAnalysisApi#createAiCustomRule");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

// Create an AI custom rule returns "Successfully created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_static_analysis::StaticAnalysisAPI;
use datadog_api_client::datadogV2::model::AiCustomRuleDataType;
use datadog_api_client::datadogV2::model::AiCustomRuleRequest;
use datadog_api_client::datadogV2::model::AiCustomRuleRequestAttributes;
use datadog_api_client::datadogV2::model::AiCustomRuleRequestData;

#[tokio::main]
async fn main() {
    let body = AiCustomRuleRequest::new().data(
        AiCustomRuleRequestData::new()
            .attributes(AiCustomRuleRequestAttributes::new().name("my-ai-rule".to_string()))
            .id("my-ai-rule".to_string())
            .type_(AiCustomRuleDataType::AI_RULE),
    );
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.CreateAiCustomRule", true);
    let api = StaticAnalysisAPI::with_config(configuration);
    let resp = api
        .create_ai_custom_rule("my-ai-ruleset".to_string(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create an AI custom rule returns "Successfully created" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
configuration.unstableOperations["v2.createAiCustomRule"] = true;
const apiInstance = new v2.StaticAnalysisApi(configuration);

const params: v2.StaticAnalysisApiCreateAiCustomRuleRequest = {
  body: {
    data: {
      attributes: {
        name: "my-ai-rule",
      },
      id: "my-ai-rule",
      type: "ai_rule",
    },
  },
  rulesetName: "my-ai-ruleset",
};

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