Rechercher des tests irréguliers

// Search flaky tests 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.FlakyTestsSearchRequest{
		Data: &datadogV2.FlakyTestsSearchRequestData{
			Attributes: &datadogV2.FlakyTestsSearchRequestAttributes{
				Filter: &datadogV2.FlakyTestsSearchFilter{
					IncludeHistory: datadog.PtrBool(true),
					Query:          datadog.PtrString(`flaky_test_state:active @git.repository.id_v2:"github.com/datadog/shopist"`),
				},
				Page: &datadogV2.FlakyTestsSearchPageOptions{
					Cursor: datadog.PtrString("eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ=="),
					Limit:  datadog.PtrInt64(25),
				},
				Sort: datadogV2.FLAKYTESTSSEARCHSORT_FAILURE_RATE_ASCENDING.Ptr(),
			},
			Type: datadogV2.FLAKYTESTSSEARCHREQUESTDATATYPE_SEARCH_FLAKY_TESTS_REQUEST.Ptr(),
		},
	}
	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.NewTestOptimizationApi(apiClient)
	resp, r, err := api.SearchFlakyTests(ctx, *datadogV2.NewSearchFlakyTestsOptionalParameters().WithBody(body))

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

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

// Search flaky tests returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.TestOptimizationApi;
import com.datadog.api.client.v2.api.TestOptimizationApi.SearchFlakyTestsOptionalParameters;
import com.datadog.api.client.v2.model.FlakyTestsSearchFilter;
import com.datadog.api.client.v2.model.FlakyTestsSearchPageOptions;
import com.datadog.api.client.v2.model.FlakyTestsSearchRequest;
import com.datadog.api.client.v2.model.FlakyTestsSearchRequestAttributes;
import com.datadog.api.client.v2.model.FlakyTestsSearchRequestData;
import com.datadog.api.client.v2.model.FlakyTestsSearchRequestDataType;
import com.datadog.api.client.v2.model.FlakyTestsSearchResponse;
import com.datadog.api.client.v2.model.FlakyTestsSearchSort;

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

    FlakyTestsSearchRequest body =
        new FlakyTestsSearchRequest()
            .data(
                new FlakyTestsSearchRequestData()
                    .attributes(
                        new FlakyTestsSearchRequestAttributes()
                            .filter(
                                new FlakyTestsSearchFilter()
                                    .includeHistory(true)
                                    .query(
                                        """
flaky_test_state:active @git.repository.id_v2:"github.com/datadog/shopist"
"""))
                            .page(
                                new FlakyTestsSearchPageOptions()
                                    .cursor(
                                        "eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ==")
                                    .limit(25L))
                            .sort(FlakyTestsSearchSort.FAILURE_RATE_ASCENDING))
                    .type(FlakyTestsSearchRequestDataType.SEARCH_FLAKY_TESTS_REQUEST));

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

"""
Search flaky tests returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.test_optimization_api import TestOptimizationApi
from datadog_api_client.v2.model.flaky_tests_search_filter import FlakyTestsSearchFilter
from datadog_api_client.v2.model.flaky_tests_search_page_options import FlakyTestsSearchPageOptions
from datadog_api_client.v2.model.flaky_tests_search_request import FlakyTestsSearchRequest
from datadog_api_client.v2.model.flaky_tests_search_request_attributes import FlakyTestsSearchRequestAttributes
from datadog_api_client.v2.model.flaky_tests_search_request_data import FlakyTestsSearchRequestData
from datadog_api_client.v2.model.flaky_tests_search_request_data_type import FlakyTestsSearchRequestDataType
from datadog_api_client.v2.model.flaky_tests_search_sort import FlakyTestsSearchSort

body = FlakyTestsSearchRequest(
    data=FlakyTestsSearchRequestData(
        attributes=FlakyTestsSearchRequestAttributes(
            filter=FlakyTestsSearchFilter(
                include_history=True,
                query='flaky_test_state:active @git.repository.id_v2:"github.com/datadog/shopist"',
            ),
            page=FlakyTestsSearchPageOptions(
                cursor="eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ==",
                limit=25,
            ),
            sort=FlakyTestsSearchSort.FAILURE_RATE_ASCENDING,
        ),
        type=FlakyTestsSearchRequestDataType.SEARCH_FLAKY_TESTS_REQUEST,
    ),
)

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

    print(response)

# Search flaky tests returns "OK" response

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

body = DatadogAPIClient::V2::FlakyTestsSearchRequest.new({
  data: DatadogAPIClient::V2::FlakyTestsSearchRequestData.new({
    attributes: DatadogAPIClient::V2::FlakyTestsSearchRequestAttributes.new({
      filter: DatadogAPIClient::V2::FlakyTestsSearchFilter.new({
        include_history: true,
        query: 'flaky_test_state:active @git.repository.id_v2:"github.com/datadog/shopist"',
      }),
      page: DatadogAPIClient::V2::FlakyTestsSearchPageOptions.new({
        cursor: "eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ==",
        limit: 25,
      }),
      sort: DatadogAPIClient::V2::FlakyTestsSearchSort::FAILURE_RATE_ASCENDING,
    }),
    type: DatadogAPIClient::V2::FlakyTestsSearchRequestDataType::SEARCH_FLAKY_TESTS_REQUEST,
  }),
})
opts = {
  body: body,
}
p api_instance.search_flaky_tests(opts)

// Search flaky tests returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_test_optimization::SearchFlakyTestsOptionalParams;
use datadog_api_client::datadogV2::api_test_optimization::TestOptimizationAPI;
use datadog_api_client::datadogV2::model::FlakyTestsSearchFilter;
use datadog_api_client::datadogV2::model::FlakyTestsSearchPageOptions;
use datadog_api_client::datadogV2::model::FlakyTestsSearchRequest;
use datadog_api_client::datadogV2::model::FlakyTestsSearchRequestAttributes;
use datadog_api_client::datadogV2::model::FlakyTestsSearchRequestData;
use datadog_api_client::datadogV2::model::FlakyTestsSearchRequestDataType;
use datadog_api_client::datadogV2::model::FlakyTestsSearchSort;

#[tokio::main]
async fn main() {
    let body =
        FlakyTestsSearchRequest
        ::new().data(
            FlakyTestsSearchRequestData::new()
                .attributes(
                    FlakyTestsSearchRequestAttributes::new()
                        .filter(
                            FlakyTestsSearchFilter::new()
                                .include_history(true)
                                .query(
                                    r#"flaky_test_state:active @git.repository.id_v2:"github.com/datadog/shopist""#.to_string(),
                                ),
                        )
                        .page(
                            FlakyTestsSearchPageOptions::new()
                                .cursor(
                                    "eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ==".to_string(),
                                )
                                .limit(25),
                        )
                        .sort(FlakyTestsSearchSort::FAILURE_RATE_ASCENDING),
                )
                .type_(FlakyTestsSearchRequestDataType::SEARCH_FLAKY_TESTS_REQUEST),
        );
    let configuration = datadog::Configuration::new();
    let api = TestOptimizationAPI::with_config(configuration);
    let resp = api
        .search_flaky_tests(SearchFlakyTestsOptionalParams::default().body(body))
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Search flaky tests 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.TestOptimizationApi(configuration);

const params: v2.TestOptimizationApiSearchFlakyTestsRequest = {
  body: {
    data: {
      attributes: {
        filter: {
          includeHistory: true,
          query: `flaky_test_state:active @git.repository.id_v2:"github.com/datadog/shopist"`,
        },
        page: {
          cursor:
            "eyJzdGFydEF0IjoiQVFBQUFYS2tMS3pPbm40NGV3QUFBQUJCV0V0clRFdDZVbG8zY3pCRmNsbHJiVmxDWlEifQ==",
          limit: 25,
        },
        sort: "failure_rate",
      },
      type: "search_flaky_tests_request",
    },
  },
};

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