Obtener un conjunto de reglas de pipeline de etiqueta
GET
https://api.datadoghq.com/api/v2/tags/enrichment/{ruleset_id}https://api.us3.datadoghq.com/api/v2/tags/enrichment/{ruleset_id}https://api.us5.datadoghq.com/api/v2/tags/enrichment/{ruleset_id}https://api.datadoghq.eu/api/v2/tags/enrichment/{ruleset_id}https://api.ap1.datadoghq.com/api/v2/tags/enrichment/{ruleset_id}https://api.ap2.datadoghq.com/api/v2/tags/enrichment/{ruleset_id}https://api.uk1.datadoghq.com/api/v2/tags/enrichment/{ruleset_id}https://api.ddog-gov.com/api/v2/tags/enrichment/{ruleset_id}https://api.us2.ddog-gov.com/api/v2/tags/enrichment/{ruleset_id}Descripción general
Obtener un conjunto de reglas de pipeline de etiqueta específica: recupera un conjunto de datos de pipeline de etiqueta específico por su ID
OAuth apps require the cloud_cost_management_read authorization scope to access this endpoint.
Argumentos
Parámetros de ruta
Nombre
Type
Descripción
ruleset_id [required]string
The unique identifier of the ruleset
Respuesta
OK
The definition of RulesetResp object.
Campo
Type
Descripción
dataobject
The definition of RulesetRespData object.
attributesobject
The definition of RulesetRespDataAttributes object.
created [required]object
The definition of RulesetRespDataAttributesCreated object.
nanosint32
The created nanos.
secondsint64
The created seconds.
enabled [required]boolean
The attributes enabled.
last_modified_user_uuid [required]string
The attributes last_modified_user_uuid.
modified [required]object
The definition of RulesetRespDataAttributesModified object.
nanosint32
The modified nanos.
secondsint64
The modified seconds.
name [required]string
The attributes name.
position [required]int32
The attributes position.
processing_statusstring
The attributes processing_status.
rules [required][object]
The attributes rules.
enabled [required]boolean
The items enabled.
mappingobject
The definition of DataAttributesRulesItemsMapping object.
destination_key [required]string
The mapping destination_key.
if_not_existsboolean
DEPRECATED Deprecated. Use if_tag_exists instead. The mapping if_not_exists.
if_tag_existsenum
The behavior when the tag already exists.
Allowed enum values:
append, do_not_apply, replacesource_keys [required][string]
The mapping source_keys.
metadataobject
The items metadata.
<any-key>string
name [required]string
The items name.
queryobject
The definition of RulesetRespDataAttributesRulesItemsQuery object.
addition [required]object
The definition of RulesetRespDataAttributesRulesItemsQueryAddition object.
key [required]string
The addition key.
value [required]string
The addition value.
case_insensitivityboolean
The query case_insensitivity.
if_not_existsboolean
DEPRECATED Deprecated. Use if_tag_exists instead. The query if_not_exists.
if_tag_existsenum
The behavior when the tag already exists.
Allowed enum values:
append, do_not_apply, replacequery [required]string
The query query.
reference_tableobject
The definition of RulesetRespDataAttributesRulesItemsReferenceTable object.
case_insensitivityboolean
The reference_table case_insensitivity.
field_pairs [required][object]
The reference_table field_pairs.
input_column [required]string
The items input_column.
output_key [required]string
The items output_key.
if_not_existsboolean
DEPRECATED Deprecated. Use if_tag_exists instead. The reference_table if_not_exists.
if_tag_existsenum
The behavior when the tag already exists.
Allowed enum values:
append, do_not_apply, replacesource_keys [required][string]
The reference_table source_keys.
table_name [required]string
The reference_table table_name.
version [required]int64
The attributes version.
idstring
The RulesetRespData id.
type [required]enum
Ruleset resource type.
rulesetAllowed enum values:
ruleset{
"data": {
"attributes": {
"created": null,
"enabled": true,
"last_modified_user_uuid": "",
"modified": null,
"name": "Example Ruleset",
"position": 0,
"rules": [
{
"enabled": false,
"mapping": null,
"metadata": null,
"name": "RC test rule edited1",
"query": {
"addition": {
"key": "abc",
"value": "ww"
},
"case_insensitivity": false,
"if_tag_exists": "do_not_apply",
"query": "billingcurrency:\"USD\" AND account_name:\"SZA96462\" AND billingcurrency:\"USD\""
},
"reference_table": null
},
{
"enabled": true,
"mapping": {
"destination_key": "h",
"if_tag_exists": "do_not_apply",
"source_keys": [
"accountname",
"accountownerid"
]
},
"metadata": null,
"name": "rule with empty source key",
"query": null,
"reference_table": null
},
{
"enabled": true,
"mapping": null,
"metadata": null,
"name": "New table rule with new UI",
"query": null,
"reference_table": {
"case_insensitivity": true,
"field_pairs": [
{
"input_column": "status_type",
"output_key": "status"
},
{
"input_column": "status_description",
"output_key": "dess"
}
],
"if_tag_exists": "append",
"source_keys": [
"http_status",
"status_description"
],
"table_name": "http_status_codes"
}
}
],
"version": 1
},
"id": "12345",
"type": "ruleset"
}
}Too many requests
API error response.
Campo
Type
Descripción
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Ejemplo de código
Obtener un conjunto de reglas de pipeline de etiqueta
# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export ruleset_id="CHANGE_ME"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/tags/enrichment/${ruleset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"Obtener un conjunto de reglas de pipeline de etiqueta
// Get a tag pipeline ruleset 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() {
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.GetTagPipelinesRuleset(ctx, "a1e9de9b-b88e-41c6-a0cd-cc0ebd7092de")
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `CloudCostManagementApi.GetTagPipelinesRuleset`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `CloudCostManagementApi.GetTagPipelinesRuleset`:\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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"Obtener un conjunto de reglas de pipeline de etiqueta
// Get a tag pipeline ruleset 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.RulesetResp;
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);
try {
RulesetResp result =
apiInstance.getTagPipelinesRuleset("a1e9de9b-b88e-41c6-a0cd-cc0ebd7092de");
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling CloudCostManagementApi#getTagPipelinesRuleset");
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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"Obtener un conjunto de reglas de pipeline de etiqueta
"""
Get a tag pipeline ruleset 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
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = CloudCostManagementApi(api_client)
response = api_instance.get_tag_pipelines_ruleset(
ruleset_id="a1e9de9b-b88e-41c6-a0cd-cc0ebd7092de",
)
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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"Obtener un conjunto de reglas de pipeline de etiqueta
# Get a tag pipeline ruleset 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
p api_instance.get_tag_pipelines_ruleset("a1e9de9b-b88e-41c6-a0cd-cc0ebd7092de")
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"Obtener un conjunto de reglas de pipeline de etiqueta
// Get a tag pipeline ruleset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_cloud_cost_management::CloudCostManagementAPI;
#[tokio::main]
async fn main() {
let configuration = datadog::Configuration::new();
let api = CloudCostManagementAPI::with_config(configuration);
let resp = api
.get_tag_pipelines_ruleset("a1e9de9b-b88e-41c6-a0cd-cc0ebd7092de".to_string())
.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.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runObtener un conjunto de reglas de pipeline de etiqueta
/**
* Get a tag pipeline ruleset 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.CloudCostManagementApiGetTagPipelinesRulesetRequest = {
rulesetId: "a1e9de9b-b88e-41c6-a0cd-cc0ebd7092de",
};
apiInstance
.getTagPipelinesRuleset(params)
.then((data: v2.RulesetResp) => {
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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"