Analyze code

// Analyze code 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.AnalysisRequest{
		Data: datadogV2.AnalysisRequestData{
			Attributes: datadogV2.AnalysisRequestDataAttributes{
				Code:         "aW1wb3J0IHN5cw==",
				FileEncoding: "utf-8",
				Filename:     "test.py",
				Language:     "python",
				Rules: []datadogV2.AnalysisRequestRule{
					{
						Arguments: []datadogV2.AnalysisRequestRuleArgument{
							{},
						},
						Category:      "BEST_PRACTICES",
						Checksum:      "abc123def456",
						Code:          "ZnVuY3Rpb24gdmlzaXQobm9kZSkge30=",
						EntityChecked: *datadog.NewNullableString(nil),
						Id:            "python-best-practices/no-exit",
						Language:      "python",
						Name:          datadog.PtrString("no-exit"),
						Regex:         *datadog.NewNullableString(nil),
						Severity:      "WARNING",
						Tags:          []string{},
						Tests: []datadogV2.AnalysisRequestRuleTest{
							{},
						},
						TreeSitterQuery: "KGNhbGwgbmFtZTogKGF0dHJpYnV0ZSkpQHZhbA==",
						Type:            "TREE_SITTER_QUERY",
					},
				},
			},
			Type: datadogV2.ANALYSISREQUESTDATATYPE_ANALYSIS_REQUEST,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.CreateStaticAnalysisServerAnalysis", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewSecurityMonitoringApi(apiClient)
	resp, r, err := api.CreateStaticAnalysisServerAnalysis(ctx, body)

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

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

// Analyze code returns "OK" 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.AnalysisRequest;
import com.datadog.api.client.v2.model.AnalysisRequestData;
import com.datadog.api.client.v2.model.AnalysisRequestDataAttributes;
import com.datadog.api.client.v2.model.AnalysisRequestDataType;
import com.datadog.api.client.v2.model.AnalysisRequestRule;
import com.datadog.api.client.v2.model.AnalysisRequestRuleArgument;
import com.datadog.api.client.v2.model.AnalysisRequestRuleTest;
import com.datadog.api.client.v2.model.AnalysisResponse;
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.createStaticAnalysisServerAnalysis", true);
    SecurityMonitoringApi apiInstance = new SecurityMonitoringApi(defaultClient);

    AnalysisRequest body =
        new AnalysisRequest()
            .data(
                new AnalysisRequestData()
                    .attributes(
                        new AnalysisRequestDataAttributes()
                            .code("aW1wb3J0IHN5cw==")
                            .fileEncoding("utf-8")
                            .filename("test.py")
                            .language("python")
                            .rules(
                                Collections.singletonList(
                                    new AnalysisRequestRule()
                                        .arguments(
                                            Collections.singletonList(
                                                new AnalysisRequestRuleArgument()))
                                        .category("BEST_PRACTICES")
                                        .checksum("abc123def456")
                                        .code("ZnVuY3Rpb24gdmlzaXQobm9kZSkge30=")
                                        .entityChecked(null)
                                        .id("python-best-practices/no-exit")
                                        .language("python")
                                        .name("no-exit")
                                        .regex(null)
                                        .severity("WARNING")
                                        .tests(
                                            Collections.singletonList(
                                                new AnalysisRequestRuleTest()))
                                        .treeSitterQuery("KGNhbGwgbmFtZTogKGF0dHJpYnV0ZSkpQHZhbA==")
                                        .type("TREE_SITTER_QUERY"))))
                    .type(AnalysisRequestDataType.ANALYSIS_REQUEST));

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

"""
Analyze code returns "OK" 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.analysis_request import AnalysisRequest
from datadog_api_client.v2.model.analysis_request_data import AnalysisRequestData
from datadog_api_client.v2.model.analysis_request_data_attributes import AnalysisRequestDataAttributes
from datadog_api_client.v2.model.analysis_request_data_type import AnalysisRequestDataType
from datadog_api_client.v2.model.analysis_request_rule import AnalysisRequestRule
from datadog_api_client.v2.model.analysis_request_rule_argument import AnalysisRequestRuleArgument
from datadog_api_client.v2.model.analysis_request_rule_test import AnalysisRequestRuleTest

body = AnalysisRequest(
    data=AnalysisRequestData(
        attributes=AnalysisRequestDataAttributes(
            code="aW1wb3J0IHN5cw==",
            file_encoding="utf-8",
            filename="test.py",
            language="python",
            rules=[
                AnalysisRequestRule(
                    arguments=[
                        AnalysisRequestRuleArgument(),
                    ],
                    category="BEST_PRACTICES",
                    checksum="abc123def456",
                    code="ZnVuY3Rpb24gdmlzaXQobm9kZSkge30=",
                    entity_checked=None,
                    id="python-best-practices/no-exit",
                    language="python",
                    name="no-exit",
                    regex=None,
                    severity="WARNING",
                    tags=[],
                    tests=[
                        AnalysisRequestRuleTest(),
                    ],
                    tree_sitter_query="KGNhbGwgbmFtZTogKGF0dHJpYnV0ZSkpQHZhbA==",
                    type="TREE_SITTER_QUERY",
                ),
            ],
        ),
        type=AnalysisRequestDataType.ANALYSIS_REQUEST,
    ),
)

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

    print(response)

# Analyze code returns "OK" response

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

body = DatadogAPIClient::V2::AnalysisRequest.new({
  data: DatadogAPIClient::V2::AnalysisRequestData.new({
    attributes: DatadogAPIClient::V2::AnalysisRequestDataAttributes.new({
      code: "aW1wb3J0IHN5cw==",
      file_encoding: "utf-8",
      filename: "test.py",
      language: "python",
      rules: [
        DatadogAPIClient::V2::AnalysisRequestRule.new({
          arguments: [
            DatadogAPIClient::V2::AnalysisRequestRuleArgument.new({}),
          ],
          category: "BEST_PRACTICES",
          checksum: "abc123def456",
          code: "ZnVuY3Rpb24gdmlzaXQobm9kZSkge30=",
          entity_checked: nil,
          id: "python-best-practices/no-exit",
          language: "python",
          name: "no-exit",
          regex: nil,
          severity: "WARNING",
          tags: [],
          tests: [
            DatadogAPIClient::V2::AnalysisRequestRuleTest.new({}),
          ],
          tree_sitter_query: "KGNhbGwgbmFtZTogKGF0dHJpYnV0ZSkpQHZhbA==",
          type: "TREE_SITTER_QUERY",
        }),
      ],
    }),
    type: DatadogAPIClient::V2::AnalysisRequestDataType::ANALYSIS_REQUEST,
  }),
})
p api_instance.create_static_analysis_server_analysis(body)

// Analyze code returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_security_monitoring::SecurityMonitoringAPI;
use datadog_api_client::datadogV2::model::AnalysisRequest;
use datadog_api_client::datadogV2::model::AnalysisRequestData;
use datadog_api_client::datadogV2::model::AnalysisRequestDataAttributes;
use datadog_api_client::datadogV2::model::AnalysisRequestDataType;
use datadog_api_client::datadogV2::model::AnalysisRequestRule;
use datadog_api_client::datadogV2::model::AnalysisRequestRuleArgument;
use datadog_api_client::datadogV2::model::AnalysisRequestRuleTest;

#[tokio::main]
async fn main() {
    let body = AnalysisRequest::new(AnalysisRequestData::new(
        AnalysisRequestDataAttributes::new(
            "aW1wb3J0IHN5cw==".to_string(),
            "utf-8".to_string(),
            "test.py".to_string(),
            "python".to_string(),
            vec![AnalysisRequestRule::new(
                "BEST_PRACTICES".to_string(),
                "abc123def456".to_string(),
                "ZnVuY3Rpb24gdmlzaXQobm9kZSkge30=".to_string(),
                "python-best-practices/no-exit".to_string(),
                "python".to_string(),
                "WARNING".to_string(),
                "KGNhbGwgbmFtZTogKGF0dHJpYnV0ZSkpQHZhbA==".to_string(),
                "TREE_SITTER_QUERY".to_string(),
            )
            .arguments(vec![AnalysisRequestRuleArgument::new()])
            .entity_checked(None)
            .name("no-exit".to_string())
            .regex(None)
            .tags(vec![])
            .tests(vec![AnalysisRequestRuleTest::new()])],
        ),
        AnalysisRequestDataType::ANALYSIS_REQUEST,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.create_static_analysis_server_analysis", true);
    let api = SecurityMonitoringAPI::with_config(configuration);
    let resp = api.create_static_analysis_server_analysis(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Analyze code 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.createStaticAnalysisServerAnalysis"] =
  true;
const apiInstance = new v2.SecurityMonitoringApi(configuration);

const params: v2.SecurityMonitoringApiCreateStaticAnalysisServerAnalysisRequest =
  {
    body: {
      data: {
        attributes: {
          code: "aW1wb3J0IHN5cw==",
          fileEncoding: "utf-8",
          filename: "test.py",
          language: "python",
          rules: [
            {
              arguments: [{}],
              category: "BEST_PRACTICES",
              checksum: "abc123def456",
              code: "ZnVuY3Rpb24gdmlzaXQobm9kZSkge30=",
              entityChecked: undefined,
              id: "python-best-practices/no-exit",
              language: "python",
              name: "no-exit",
              regex: undefined,
              severity: "WARNING",
              tags: [],
              tests: [{}],
              treeSitterQuery: "KGNhbGwgbmFtZTogKGF0dHJpYnV0ZSkpQHZhbA==",
              type: "TREE_SITTER_QUERY",
            },
          ],
        },
        type: "analysis_request",
      },
    },
  };

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