推論 DEM ジャーニーの検索

"""
Search inferred DEM journeys returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.dem_api import DEMApi

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = DEMApi(api_client)
    response = api_instance.search_inferred_journeys()

    print(response)

# Search inferred DEM journeys returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::DEMAPI.new
p api_instance.search_inferred_journeys()

// Search inferred DEM journeys 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.NewDEMApi(apiClient)
	resp, r, err := api.SearchInferredJourneys(ctx, *datadogV2.NewSearchInferredJourneysOptionalParameters())

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

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

// Search inferred DEM journeys returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DemApi;
import com.datadog.api.client.v2.model.DemSearchInferredJourneysResponse;

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

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

// Search inferred DEM journeys returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_dem::SearchInferredJourneysOptionalParams;
use datadog_api_client::datadogV2::api_dem::DEMAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = DEMAPI::with_config(configuration);
    let resp = api
        .search_inferred_journeys(SearchInferredJourneysOptionalParams::default())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Search inferred DEM journeys 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.DEMApi(configuration);

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