Get an AI custom rule

"""
Get an AI custom rule returns "Successful response" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.static_analysis_api import StaticAnalysisApi

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

    print(response)

# Get an AI custom rule returns "Successful response" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.get_ai_custom_rule".to_sym] = true
end
api_instance = DatadogAPIClient::V2::StaticAnalysisAPI.new
p api_instance.get_ai_custom_rule("my-ai-ruleset", "my-ai-rule")

// Get an AI custom rule returns "Successful response" 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() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.GetAiCustomRule", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewStaticAnalysisApi(apiClient)
	resp, r, err := api.GetAiCustomRule(ctx, "my-ai-ruleset", "my-ai-rule")

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

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

// Get an AI custom rule returns "Successful response" 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.AiCustomRuleResponse;

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

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

// Get an AI custom rule returns "Successful response" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_static_analysis::StaticAnalysisAPI;

#[tokio::main]
async fn main() {
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.GetAiCustomRule", true);
    let api = StaticAnalysisAPI::with_config(configuration);
    let resp = api
        .get_ai_custom_rule("my-ai-ruleset".to_string(), "my-ai-rule".to_string())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Get an AI custom rule returns "Successful response" response
 */

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

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

const params: v2.StaticAnalysisApiGetAiCustomRuleRequest = {
  rulesetName: "my-ai-ruleset",
  ruleName: "my-ai-rule",
};

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