Create an AI memory violation result

// Create an AI memory violation result returns "Successfully created" response

package main

import (
	"context"
	"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.AiMemoryViolationResultRequest{
		Data: &datadogV2.AiMemoryViolationResultRequestData{
			Attributes: &datadogV2.AiMemoryViolationResultRequestAttributes{
				Line:         10,
				Message:      "This is a false positive because the input is sanitized.",
				Name:         "src/main.py",
				RepositoryId: "my-repo",
				Rule:         "my-ai-ruleset/my-ai-rule",
				Sha:          "abc123def456789012345678901234567890abcd",
				Type:         datadogV2.AIMEMORYVIOLATIONTYPE_FP,
			},
			Id:   datadog.PtrString("violation-abc"),
			Type: datadogV2.AIMEMORYVIOLATIONRESULTDATATYPE_AI_MEMORY_VIOLATION_RESULT.Ptr(),
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateAiMemoryViolationResult", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewStaticAnalysisApi(apiClient)
	r, err := api.CreateAiMemoryViolationResult(ctx, body)

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

// Create an AI memory violation result 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.AiMemoryViolationResultDataType;
import com.datadog.api.client.v2.model.AiMemoryViolationResultRequest;
import com.datadog.api.client.v2.model.AiMemoryViolationResultRequestAttributes;
import com.datadog.api.client.v2.model.AiMemoryViolationResultRequestData;
import com.datadog.api.client.v2.model.AiMemoryViolationType;

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

    AiMemoryViolationResultRequest body =
        new AiMemoryViolationResultRequest()
            .data(
                new AiMemoryViolationResultRequestData()
                    .attributes(
                        new AiMemoryViolationResultRequestAttributes()
                            .line(10L)
                            .message("This is a false positive because the input is sanitized.")
                            .name("src/main.py")
                            .repositoryId("my-repo")
                            .rule("my-ai-ruleset/my-ai-rule")
                            .sha("abc123def456789012345678901234567890abcd")
                            .type(AiMemoryViolationType.FP))
                    .id("violation-abc")
                    .type(AiMemoryViolationResultDataType.AI_MEMORY_VIOLATION_RESULT));

    try {
      apiInstance.createAiMemoryViolationResult(body);
    } catch (ApiException e) {
      System.err.println("Exception when calling StaticAnalysisApi#createAiMemoryViolationResult");
      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 memory violation result returns "Successfully created" response
"""

from os import environ
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_memory_violation_result_data_type import AiMemoryViolationResultDataType
from datadog_api_client.v2.model.ai_memory_violation_result_request import AiMemoryViolationResultRequest
from datadog_api_client.v2.model.ai_memory_violation_result_request_attributes import (
    AiMemoryViolationResultRequestAttributes,
)
from datadog_api_client.v2.model.ai_memory_violation_result_request_data import AiMemoryViolationResultRequestData
from datadog_api_client.v2.model.ai_memory_violation_type import AiMemoryViolationType

body = AiMemoryViolationResultRequest(
    data=AiMemoryViolationResultRequestData(
        attributes=AiMemoryViolationResultRequestAttributes(
            line=10,
            message="This is a false positive because the input is sanitized.",
            name="src/main.py",
            repository_id="my-repo",
            rule="my-ai-ruleset/my-ai-rule",
            sha="abc123def456789012345678901234567890abcd",
            type=AiMemoryViolationType.FP,
        ),
        id="violation-abc",
        type=AiMemoryViolationResultDataType.AI_MEMORY_VIOLATION_RESULT,
    ),
)

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

# Create an AI memory violation result returns "Successfully created" response

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

body = DatadogAPIClient::V2::AiMemoryViolationResultRequest.new({
  data: DatadogAPIClient::V2::AiMemoryViolationResultRequestData.new({
    attributes: DatadogAPIClient::V2::AiMemoryViolationResultRequestAttributes.new({
      line: 10,
      message: "This is a false positive because the input is sanitized.",
      name: "src/main.py",
      repository_id: "my-repo",
      rule: "my-ai-ruleset/my-ai-rule",
      sha: "abc123def456789012345678901234567890abcd",
      type: DatadogAPIClient::V2::AiMemoryViolationType::FP,
    }),
    id: "violation-abc",
    type: DatadogAPIClient::V2::AiMemoryViolationResultDataType::AI_MEMORY_VIOLATION_RESULT,
  }),
})
p api_instance.create_ai_memory_violation_result(body)

// Create an AI memory violation result returns "Successfully created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_static_analysis::StaticAnalysisAPI;
use datadog_api_client::datadogV2::model::AiMemoryViolationResultDataType;
use datadog_api_client::datadogV2::model::AiMemoryViolationResultRequest;
use datadog_api_client::datadogV2::model::AiMemoryViolationResultRequestAttributes;
use datadog_api_client::datadogV2::model::AiMemoryViolationResultRequestData;
use datadog_api_client::datadogV2::model::AiMemoryViolationType;

#[tokio::main]
async fn main() {
    let body = AiMemoryViolationResultRequest::new().data(
        AiMemoryViolationResultRequestData::new()
            .attributes(AiMemoryViolationResultRequestAttributes::new(
                10,
                "This is a false positive because the input is sanitized.".to_string(),
                "src/main.py".to_string(),
                "my-repo".to_string(),
                "my-ai-ruleset/my-ai-rule".to_string(),
                "abc123def456789012345678901234567890abcd".to_string(),
                AiMemoryViolationType::FP,
            ))
            .id("violation-abc".to_string())
            .type_(AiMemoryViolationResultDataType::AI_MEMORY_VIOLATION_RESULT),
    );
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.create_ai_memory_violation_result", true);
    let api = StaticAnalysisAPI::with_config(configuration);
    let resp = api.create_ai_memory_violation_result(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Create an AI memory violation result returns "Successfully 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.createAiMemoryViolationResult"] = true;
const apiInstance = new v2.StaticAnalysisApi(configuration);

const params: v2.StaticAnalysisApiCreateAiMemoryViolationResultRequest = {
  body: {
    data: {
      attributes: {
        line: 10,
        message: "This is a false positive because the input is sanitized.",
        name: "src/main.py",
        repositoryId: "my-repo",
        rule: "my-ai-ruleset/my-ai-rule",
        sha: "abc123def456789012345678901234567890abcd",
        type: "FP",
      },
      id: "violation-abc",
      type: "ai_memory_violation_result",
    },
  },
};

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