Trigger a deployment gate evaluation

// Trigger a deployment gates evaluation returns "Accepted" 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 "deployment_gate" in the system
	DeploymentGateDataAttributesIdentifier := os.Getenv("DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER")

	body := datadogV2.DeploymentGatesEvaluationRequest{
		Data: datadogV2.DeploymentGatesEvaluationRequestData{
			Attributes: datadogV2.DeploymentGatesEvaluationRequestAttributes{
				Env:        "production",
				Identifier: datadog.PtrString(DeploymentGateDataAttributesIdentifier),
				Service:    "my-service",
			},
			Type: datadogV2.DEPLOYMENTGATESEVALUATIONREQUESTDATATYPE_DEPLOYMENT_GATES_EVALUATION_REQUEST,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.TriggerDeploymentGatesEvaluation", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewDeploymentGatesApi(apiClient)
	resp, r, err := api.TriggerDeploymentGatesEvaluation(ctx, body)

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

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

// Trigger a deployment gates evaluation returns "Accepted" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DeploymentGatesApi;
import com.datadog.api.client.v2.model.DeploymentGatesEvaluationRequest;
import com.datadog.api.client.v2.model.DeploymentGatesEvaluationRequestAttributes;
import com.datadog.api.client.v2.model.DeploymentGatesEvaluationRequestData;
import com.datadog.api.client.v2.model.DeploymentGatesEvaluationRequestDataType;
import com.datadog.api.client.v2.model.DeploymentGatesEvaluationResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setUnstableOperationEnabled("v2.triggerDeploymentGatesEvaluation", true);
    DeploymentGatesApi apiInstance = new DeploymentGatesApi(defaultClient);

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

    DeploymentGatesEvaluationRequest body =
        new DeploymentGatesEvaluationRequest()
            .data(
                new DeploymentGatesEvaluationRequestData()
                    .attributes(
                        new DeploymentGatesEvaluationRequestAttributes()
                            .env("production")
                            .identifier(DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER)
                            .service("my-service"))
                    .type(
                        DeploymentGatesEvaluationRequestDataType
                            .DEPLOYMENT_GATES_EVALUATION_REQUEST));

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

"""
Trigger a deployment gates evaluation returns "Accepted" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.deployment_gates_api import DeploymentGatesApi
from datadog_api_client.v2.model.deployment_gates_evaluation_request import DeploymentGatesEvaluationRequest
from datadog_api_client.v2.model.deployment_gates_evaluation_request_attributes import (
    DeploymentGatesEvaluationRequestAttributes,
)
from datadog_api_client.v2.model.deployment_gates_evaluation_request_data import DeploymentGatesEvaluationRequestData
from datadog_api_client.v2.model.deployment_gates_evaluation_request_data_type import (
    DeploymentGatesEvaluationRequestDataType,
)

# there is a valid "deployment_gate" in the system
DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER = environ["DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER"]

body = DeploymentGatesEvaluationRequest(
    data=DeploymentGatesEvaluationRequestData(
        attributes=DeploymentGatesEvaluationRequestAttributes(
            env="production",
            identifier=DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER,
            service="my-service",
        ),
        type=DeploymentGatesEvaluationRequestDataType.DEPLOYMENT_GATES_EVALUATION_REQUEST,
    ),
)

configuration = Configuration()
configuration.unstable_operations["trigger_deployment_gates_evaluation"] = True
with ApiClient(configuration) as api_client:
    api_instance = DeploymentGatesApi(api_client)
    response = api_instance.trigger_deployment_gates_evaluation(body=body)

    print(response)

# Trigger a deployment gates evaluation returns "Accepted" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.trigger_deployment_gates_evaluation".to_sym] = true
end
api_instance = DatadogAPIClient::V2::DeploymentGatesAPI.new

# there is a valid "deployment_gate" in the system
DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER = ENV["DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER"]

body = DatadogAPIClient::V2::DeploymentGatesEvaluationRequest.new({
  data: DatadogAPIClient::V2::DeploymentGatesEvaluationRequestData.new({
    attributes: DatadogAPIClient::V2::DeploymentGatesEvaluationRequestAttributes.new({
      env: "production",
      identifier: DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER,
      service: "my-service",
    }),
    type: DatadogAPIClient::V2::DeploymentGatesEvaluationRequestDataType::DEPLOYMENT_GATES_EVALUATION_REQUEST,
  }),
})
p api_instance.trigger_deployment_gates_evaluation(body)

// Trigger a deployment gates evaluation returns "Accepted" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_deployment_gates::DeploymentGatesAPI;
use datadog_api_client::datadogV2::model::DeploymentGatesEvaluationRequest;
use datadog_api_client::datadogV2::model::DeploymentGatesEvaluationRequestAttributes;
use datadog_api_client::datadogV2::model::DeploymentGatesEvaluationRequestData;
use datadog_api_client::datadogV2::model::DeploymentGatesEvaluationRequestDataType;

#[tokio::main]
async fn main() {
    // there is a valid "deployment_gate" in the system
    let deployment_gate_data_attributes_identifier =
        std::env::var("DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER").unwrap();
    let body = DeploymentGatesEvaluationRequest::new(DeploymentGatesEvaluationRequestData::new(
        DeploymentGatesEvaluationRequestAttributes::new(
            "production".to_string(),
            "my-service".to_string(),
        )
        .identifier(deployment_gate_data_attributes_identifier.clone()),
        DeploymentGatesEvaluationRequestDataType::DEPLOYMENT_GATES_EVALUATION_REQUEST,
    ));
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.TriggerDeploymentGatesEvaluation", true);
    let api = DeploymentGatesAPI::with_config(configuration);
    let resp = api.trigger_deployment_gates_evaluation(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Trigger a deployment gates evaluation returns "Accepted" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
configuration.unstableOperations["v2.triggerDeploymentGatesEvaluation"] = true;
const apiInstance = new v2.DeploymentGatesApi(configuration);

// there is a valid "deployment_gate" in the system
const DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER = process.env
  .DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER as string;

const params: v2.DeploymentGatesApiTriggerDeploymentGatesEvaluationRequest = {
  body: {
    data: {
      attributes: {
        env: "production",
        identifier: DEPLOYMENT_GATE_DATA_ATTRIBUTES_IDENTIFIER,
        service: "my-service",
      },
      type: "deployment_gates_evaluation_request",
    },
  },
};

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