Create or replace a budget's custom forecast

PUT https://api.ap1.datadoghq.com/api/v2/cost/budget/custom-forecasthttps://api.ap2.datadoghq.com/api/v2/cost/budget/custom-forecasthttps://api.datadoghq.eu/api/v2/cost/budget/custom-forecasthttps://api.ddog-gov.com/api/v2/cost/budget/custom-forecasthttps://api.us2.ddog-gov.com/api/v2/cost/budget/custom-forecasthttps://api.uk1.datadoghq.com/api/v2/cost/budget/custom-forecasthttps://api.datadoghq.com/api/v2/cost/budget/custom-forecasthttps://api.us3.datadoghq.com/api/v2/cost/budget/custom-forecasthttps://api.us5.datadoghq.com/api/v2/cost/budget/custom-forecast

개요

기존 예산에 대한 맞춤 예측을 생성하거나 교체합니다. 예산에 대한 맞춤 예측을 삭제하려면 빈 entries 목록을 전달합니다.

요청

Body Data (required)

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항목

유형

설명

data [required]

object

Custom forecast resource wrapper in an upsert request.

attributes [required]

object

Attributes of a custom forecast upsert request.

budget_uid [required]

string

The UUID of the budget that this custom forecast belongs to.

entries [required]

[object]

Monthly custom forecast entries. An empty list deletes any existing custom forecast for the budget.

amount [required]

double

Forecast amount for the month.

month [required]

int64

Month the custom forecast entry applies to, in YYYYMM format.

tag_filters [required]

[object]

Tag filters that scope this custom forecast entry to specific resources.

tag_key [required]

string

The tag key to filter on.

tag_value [required]

string

The tag value to filter on.

id

string

Unused on upsert; the resource is keyed by budget_uid. Send an empty string.

type [required]

enum

The type of the custom forecast resource. Must be custom_forecast. Allowed enum values: custom_forecast

default: custom_forecast

{
  "data": {
    "attributes": {
      "budget_uid": "00000000-0000-0000-0000-000000000001",
      "entries": [
        {
          "amount": 400,
          "month": 202501,
          "tag_filters": [
            {
              "tag_key": "service",
              "tag_value": "ec2"
            }
          ]
        }
      ]
    },
    "id": "",
    "type": "custom_forecast"
  }
}

응답

OK

Response object containing the custom forecast for a budget.

Expand All

항목

유형

설명

data [required]

object

Custom forecast resource wrapper in a response.

attributes [required]

object

Attributes of a custom forecast.

budget_uid [required]

string

The UUID of the budget that this custom forecast belongs to.

created_at [required]

int64

Timestamp the custom forecast was created, in Unix milliseconds.

created_by [required]

string

The id of the user that created the custom forecast.

entries [required]

[object]

Monthly custom forecast entries.

amount [required]

double

Forecast amount for the month.

month [required]

int64

Month the custom forecast entry applies to, in YYYYMM format.

tag_filters [required]

[object]

Tag filters that scope this custom forecast entry to specific resources.

tag_key [required]

string

The tag key to filter on.

tag_value [required]

string

The tag value to filter on.

updated_at [required]

int64

Timestamp the custom forecast was last updated, in Unix milliseconds.

updated_by [required]

string

The id of the user that last updated the custom forecast.

id [required]

string

The unique identifier of the custom forecast.

type [required]

enum

The type of the custom forecast resource. Must be custom_forecast. Allowed enum values: custom_forecast

default: custom_forecast

{
  "data": {
    "attributes": {
      "budget_uid": "00000000-0000-0000-0000-000000000001",
      "created_at": 1738258683590,
      "created_by": "00000000-0a0a-0a0a-aaa0-00000000000a",
      "entries": [
        {
          "amount": 400,
          "month": 202501,
          "tag_filters": [
            {
              "tag_key": "service",
              "tag_value": "ec2"
            }
          ]
        }
      ],
      "updated_at": 1738258683590,
      "updated_by": "00000000-0a0a-0a0a-aaa0-00000000000a"
    },
    "id": "11111111-1111-1111-1111-111111111111",
    "type": "custom_forecast"
  }
}

Bad Request

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Not Found

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

코드 예시

                  ## default
# 

# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

# Curl command
curl -X PUT "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.us2.ddog-gov.com"https://api.uk1.datadoghq.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/cost/budget/custom-forecast" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer ${DD_BEARER_TOKEN}" \ -d @- << EOF { "data": { "attributes": { "budget_uid": "00000000-0000-0000-0000-000000000001", "entries": [ { "amount": 400, "month": 202501, "tag_filters": [ { "tag_key": "service", "tag_value": "ec2" } ] }, { "amount": 450, "month": 202502, "tag_filters": [ { "tag_key": "service", "tag_value": "ec2" } ] } ] }, "id": "", "type": "custom_forecast" } } EOF
"""
Create or replace a budget's custom forecast returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.cloud_cost_management_api import CloudCostManagementApi
from datadog_api_client.v2.model.custom_forecast_entry import CustomForecastEntry
from datadog_api_client.v2.model.custom_forecast_entry_tag_filter import CustomForecastEntryTagFilter
from datadog_api_client.v2.model.custom_forecast_type import CustomForecastType
from datadog_api_client.v2.model.custom_forecast_upsert_request import CustomForecastUpsertRequest
from datadog_api_client.v2.model.custom_forecast_upsert_request_data import CustomForecastUpsertRequestData
from datadog_api_client.v2.model.custom_forecast_upsert_request_data_attributes import (
    CustomForecastUpsertRequestDataAttributes,
)

body = CustomForecastUpsertRequest(
    data=CustomForecastUpsertRequestData(
        attributes=CustomForecastUpsertRequestDataAttributes(
            budget_uid="00000000-0000-0000-0000-000000000001",
            entries=[
                CustomForecastEntry(
                    amount=400.0,
                    month=202501,
                    tag_filters=[
                        CustomForecastEntryTagFilter(
                            tag_key="service",
                            tag_value="ec2",
                        ),
                    ],
                ),
            ],
        ),
        id="",
        type=CustomForecastType.CUSTOM_FORECAST,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = CloudCostManagementApi(api_client)
    response = api_instance.upsert_custom_forecast(body=body)

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"
# Create or replace a budget's custom forecast returns "OK" response

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

body = DatadogAPIClient::V2::CustomForecastUpsertRequest.new({
  data: DatadogAPIClient::V2::CustomForecastUpsertRequestData.new({
    attributes: DatadogAPIClient::V2::CustomForecastUpsertRequestDataAttributes.new({
      budget_uid: "00000000-0000-0000-0000-000000000001",
      entries: [
        DatadogAPIClient::V2::CustomForecastEntry.new({
          amount: 400,
          month: 202501,
          tag_filters: [
            DatadogAPIClient::V2::CustomForecastEntryTagFilter.new({
              tag_key: "service",
              tag_value: "ec2",
            }),
          ],
        }),
      ],
    }),
    id: "",
    type: DatadogAPIClient::V2::CustomForecastType::CUSTOM_FORECAST,
  }),
})
p api_instance.upsert_custom_forecast(body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"
// Create or replace a budget's custom forecast 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.CustomForecastUpsertRequest{
		Data: datadogV2.CustomForecastUpsertRequestData{
			Attributes: datadogV2.CustomForecastUpsertRequestDataAttributes{
				BudgetUid: "00000000-0000-0000-0000-000000000001",
				Entries: []datadogV2.CustomForecastEntry{
					{
						Amount: 400,
						Month:  202501,
						TagFilters: []datadogV2.CustomForecastEntryTagFilter{
							{
								TagKey:   "service",
								TagValue: "ec2",
							},
						},
					},
				},
			},
			Id:   datadog.PtrString(""),
			Type: datadogV2.CUSTOMFORECASTTYPE_CUSTOM_FORECAST,
		},
	}
	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.NewCloudCostManagementApi(apiClient)
	resp, r, err := api.UpsertCustomForecast(ctx, body)

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

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

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"
// Create or replace a budget's custom forecast returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.CloudCostManagementApi;
import com.datadog.api.client.v2.model.CustomForecastEntry;
import com.datadog.api.client.v2.model.CustomForecastEntryTagFilter;
import com.datadog.api.client.v2.model.CustomForecastResponse;
import com.datadog.api.client.v2.model.CustomForecastType;
import com.datadog.api.client.v2.model.CustomForecastUpsertRequest;
import com.datadog.api.client.v2.model.CustomForecastUpsertRequestData;
import com.datadog.api.client.v2.model.CustomForecastUpsertRequestDataAttributes;
import java.util.Collections;

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

    CustomForecastUpsertRequest body =
        new CustomForecastUpsertRequest()
            .data(
                new CustomForecastUpsertRequestData()
                    .attributes(
                        new CustomForecastUpsertRequestDataAttributes()
                            .budgetUid("00000000-0000-0000-0000-000000000001")
                            .entries(
                                Collections.singletonList(
                                    new CustomForecastEntry()
                                        .amount(400.0)
                                        .month(202501L)
                                        .tagFilters(
                                            Collections.singletonList(
                                                new CustomForecastEntryTagFilter()
                                                    .tagKey("service")
                                                    .tagValue("ec2"))))))
                    .id("")
                    .type(CustomForecastType.CUSTOM_FORECAST));

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

Instructions

First install the library and its dependencies and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"
// Create or replace a budget's custom forecast returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_cloud_cost_management::CloudCostManagementAPI;
use datadog_api_client::datadogV2::model::CustomForecastEntry;
use datadog_api_client::datadogV2::model::CustomForecastEntryTagFilter;
use datadog_api_client::datadogV2::model::CustomForecastType;
use datadog_api_client::datadogV2::model::CustomForecastUpsertRequest;
use datadog_api_client::datadogV2::model::CustomForecastUpsertRequestData;
use datadog_api_client::datadogV2::model::CustomForecastUpsertRequestDataAttributes;

#[tokio::main]
async fn main() {
    let body = CustomForecastUpsertRequest::new(
        CustomForecastUpsertRequestData::new(
            CustomForecastUpsertRequestDataAttributes::new(
                "00000000-0000-0000-0000-000000000001".to_string(),
                vec![CustomForecastEntry::new(
                    400.0,
                    202501,
                    vec![CustomForecastEntryTagFilter::new(
                        "service".to_string(),
                        "ec2".to_string(),
                    )],
                )],
            ),
            CustomForecastType::CUSTOM_FORECAST,
        )
        .id("".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = CloudCostManagementAPI::with_config(configuration);
    let resp = api.upsert_custom_forecast(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

First install the library and its dependencies and then save the example to src/main.rs and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
/**
 * Create or replace a budget's custom forecast 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.CloudCostManagementApi(configuration);

const params: v2.CloudCostManagementApiUpsertCustomForecastRequest = {
  body: {
    data: {
      attributes: {
        budgetUid: "00000000-0000-0000-0000-000000000001",
        entries: [
          {
            amount: 400,
            month: 202501,
            tagFilters: [
              {
                tagKey: "service",
                tagValue: "ec2",
              },
            ],
          },
        ],
      },
      id: "",
      type: "custom_forecast",
    },
  },
};

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

Instructions

First install the library and its dependencies and then save the example to example.ts and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"