Mettre à jour une politique de restriction

// Update a restriction policy 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() {
	// there is a valid "user" in the system

	body := datadogV2.RestrictionPolicyUpdateRequest{
		Data: datadogV2.RestrictionPolicy{
			Id:   "dashboard:test-update",
			Type: datadogV2.RESTRICTIONPOLICYTYPE_RESTRICTION_POLICY,
			Attributes: datadogV2.RestrictionPolicyAttributes{
				Bindings: []datadogV2.RestrictionPolicyBinding{
					{
						Relation: "editor",
						Principals: []string{
							"org:00000000-0000-beef-0000-000000000000",
						},
					},
				},
			},
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewRestrictionPoliciesApi(apiClient)
	resp, r, err := api.UpdateRestrictionPolicy(ctx, "dashboard:test-update", body, *datadogV2.NewUpdateRestrictionPolicyOptionalParameters())

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

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

// Update a restriction policy returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.RestrictionPoliciesApi;
import com.datadog.api.client.v2.model.RestrictionPolicy;
import com.datadog.api.client.v2.model.RestrictionPolicyAttributes;
import com.datadog.api.client.v2.model.RestrictionPolicyBinding;
import com.datadog.api.client.v2.model.RestrictionPolicyResponse;
import com.datadog.api.client.v2.model.RestrictionPolicyType;
import com.datadog.api.client.v2.model.RestrictionPolicyUpdateRequest;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    RestrictionPoliciesApi apiInstance = new RestrictionPoliciesApi(defaultClient);

    // there is a valid "user" in the system
    String USER_DATA_RELATIONSHIPS_ORG_DATA_ID =
        System.getenv("USER_DATA_RELATIONSHIPS_ORG_DATA_ID");

    RestrictionPolicyUpdateRequest body =
        new RestrictionPolicyUpdateRequest()
            .data(
                new RestrictionPolicy()
                    .id("dashboard:test-update")
                    .type(RestrictionPolicyType.RESTRICTION_POLICY)
                    .attributes(
                        new RestrictionPolicyAttributes()
                            .bindings(
                                Collections.singletonList(
                                    new RestrictionPolicyBinding()
                                        .relation("editor")
                                        .principals(
                                            Collections.singletonList(
                                                "org:00000000-0000-beef-0000-000000000000"))))));

    try {
      RestrictionPolicyResponse result =
          apiInstance.updateRestrictionPolicy("dashboard:test-update", body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling RestrictionPoliciesApi#updateRestrictionPolicy");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

"""
Update a restriction policy returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.restriction_policies_api import RestrictionPoliciesApi
from datadog_api_client.v2.model.restriction_policy import RestrictionPolicy
from datadog_api_client.v2.model.restriction_policy_attributes import RestrictionPolicyAttributes
from datadog_api_client.v2.model.restriction_policy_binding import RestrictionPolicyBinding
from datadog_api_client.v2.model.restriction_policy_type import RestrictionPolicyType
from datadog_api_client.v2.model.restriction_policy_update_request import RestrictionPolicyUpdateRequest

# there is a valid "user" in the system
USER_DATA_RELATIONSHIPS_ORG_DATA_ID = environ["USER_DATA_RELATIONSHIPS_ORG_DATA_ID"]

body = RestrictionPolicyUpdateRequest(
    data=RestrictionPolicy(
        id="dashboard:test-update",
        type=RestrictionPolicyType.RESTRICTION_POLICY,
        attributes=RestrictionPolicyAttributes(
            bindings=[
                RestrictionPolicyBinding(
                    relation="editor",
                    principals=[
                        "org:00000000-0000-beef-0000-000000000000",
                    ],
                ),
            ],
        ),
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = RestrictionPoliciesApi(api_client)
    response = api_instance.update_restriction_policy(resource_id="dashboard:test-update", body=body)

    print(response)

# Update a restriction policy returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::RestrictionPoliciesAPI.new

# there is a valid "user" in the system
USER_DATA_RELATIONSHIPS_ORG_DATA_ID = ENV["USER_DATA_RELATIONSHIPS_ORG_DATA_ID"]

body = DatadogAPIClient::V2::RestrictionPolicyUpdateRequest.new({
  data: DatadogAPIClient::V2::RestrictionPolicy.new({
    id: "dashboard:test-update",
    type: DatadogAPIClient::V2::RestrictionPolicyType::RESTRICTION_POLICY,
    attributes: DatadogAPIClient::V2::RestrictionPolicyAttributes.new({
      bindings: [
        DatadogAPIClient::V2::RestrictionPolicyBinding.new({
          relation: "editor",
          principals: [
            "org:00000000-0000-beef-0000-000000000000",
          ],
        }),
      ],
    }),
  }),
})
p api_instance.update_restriction_policy("dashboard:test-update", body)

// Update a restriction policy returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_restriction_policies::RestrictionPoliciesAPI;
use datadog_api_client::datadogV2::api_restriction_policies::UpdateRestrictionPolicyOptionalParams;
use datadog_api_client::datadogV2::model::RestrictionPolicy;
use datadog_api_client::datadogV2::model::RestrictionPolicyAttributes;
use datadog_api_client::datadogV2::model::RestrictionPolicyBinding;
use datadog_api_client::datadogV2::model::RestrictionPolicyType;
use datadog_api_client::datadogV2::model::RestrictionPolicyUpdateRequest;

#[tokio::main]
async fn main() {
    // there is a valid "user" in the system
    let body = RestrictionPolicyUpdateRequest::new(RestrictionPolicy::new(
        RestrictionPolicyAttributes::new(vec![RestrictionPolicyBinding::new(
            vec!["org:00000000-0000-beef-0000-000000000000".to_string()],
            "editor".to_string(),
        )]),
        "dashboard:test-update".to_string(),
        RestrictionPolicyType::RESTRICTION_POLICY,
    ));
    let configuration = datadog::Configuration::new();
    let api = RestrictionPoliciesAPI::with_config(configuration);
    let resp = api
        .update_restriction_policy(
            "dashboard:test-update".to_string(),
            body,
            UpdateRestrictionPolicyOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Update a restriction policy 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,
    },
  },
});
const apiInstance = new v2.RestrictionPoliciesApi(configuration);

// there is a valid "user" in the system

const params: v2.RestrictionPoliciesApiUpdateRestrictionPolicyRequest = {
  body: {
    data: {
      id: "dashboard:test-update",
      type: "restriction_policy",
      attributes: {
        bindings: [
          {
            relation: "editor",
            principals: ["org:00000000-0000-beef-0000-000000000000"],
          },
        ],
      },
    },
  },
  resourceId: "dashboard:test-update",
};

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