Actualizar un filtro de retención

// Update a retention filter 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() {
	// there is a valid "retention_filter" in the system
	RetentionFilterDataID := os.Getenv("RETENTION_FILTER_DATA_ID")

	body := datadogV2.RetentionFilterUpdateRequest{
		Data: datadogV2.RetentionFilterUpdateData{
			Attributes: datadogV2.RetentionFilterUpdateAttributes{
				Name: "test",
				Rate: 0.9,
				Filter: datadogV2.SpansFilterCreate{
					Query: "@_top_level:1 test:service-demo",
				},
				Enabled:    true,
				FilterType: datadogV2.RETENTIONFILTERALLTYPE_SPANS_SAMPLING_PROCESSOR,
			},
			Id:   "test-id",
			Type: datadogV2.APMRETENTIONFILTERTYPE_apm_retention_filter,
		},
	}
	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.NewAPMRetentionFiltersApi(apiClient)
	resp, r, err := api.UpdateApmRetentionFilter(ctx, RetentionFilterDataID, body)

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

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

// Update a retention filter with trace rate 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() {
	// there is a valid "retention_filter" in the system
	RetentionFilterDataID := os.Getenv("RETENTION_FILTER_DATA_ID")

	body := datadogV2.RetentionFilterUpdateRequest{
		Data: datadogV2.RetentionFilterUpdateData{
			Attributes: datadogV2.RetentionFilterUpdateAttributes{
				Name:      "test",
				Rate:      0.9,
				TraceRate: datadog.PtrFloat64(1.0),
				Filter: datadogV2.SpansFilterCreate{
					Query: "@_top_level:1 test:service-demo",
				},
				Enabled:    true,
				FilterType: datadogV2.RETENTIONFILTERALLTYPE_SPANS_SAMPLING_PROCESSOR,
			},
			Id:   "test-id",
			Type: datadogV2.APMRETENTIONFILTERTYPE_apm_retention_filter,
		},
	}
	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.NewAPMRetentionFiltersApi(apiClient)
	resp, r, err := api.UpdateApmRetentionFilter(ctx, RetentionFilterDataID, body)

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

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

// Update a retention filter returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ApmRetentionFiltersApi;
import com.datadog.api.client.v2.model.ApmRetentionFilterType;
import com.datadog.api.client.v2.model.RetentionFilterAllType;
import com.datadog.api.client.v2.model.RetentionFilterResponse;
import com.datadog.api.client.v2.model.RetentionFilterUpdateAttributes;
import com.datadog.api.client.v2.model.RetentionFilterUpdateData;
import com.datadog.api.client.v2.model.RetentionFilterUpdateRequest;
import com.datadog.api.client.v2.model.SpansFilterCreate;

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

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

    RetentionFilterUpdateRequest body =
        new RetentionFilterUpdateRequest()
            .data(
                new RetentionFilterUpdateData()
                    .attributes(
                        new RetentionFilterUpdateAttributes()
                            .name("test")
                            .rate(0.9)
                            .filter(
                                new SpansFilterCreate().query("@_top_level:1 test:service-demo"))
                            .enabled(true)
                            .filterType(RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR))
                    .id("test-id")
                    .type(ApmRetentionFilterType.apm_retention_filter));

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

// Update a retention filter with trace rate returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ApmRetentionFiltersApi;
import com.datadog.api.client.v2.model.ApmRetentionFilterType;
import com.datadog.api.client.v2.model.RetentionFilterAllType;
import com.datadog.api.client.v2.model.RetentionFilterResponse;
import com.datadog.api.client.v2.model.RetentionFilterUpdateAttributes;
import com.datadog.api.client.v2.model.RetentionFilterUpdateData;
import com.datadog.api.client.v2.model.RetentionFilterUpdateRequest;
import com.datadog.api.client.v2.model.SpansFilterCreate;

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

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

    RetentionFilterUpdateRequest body =
        new RetentionFilterUpdateRequest()
            .data(
                new RetentionFilterUpdateData()
                    .attributes(
                        new RetentionFilterUpdateAttributes()
                            .name("test")
                            .rate(0.9)
                            .traceRate(1.0)
                            .filter(
                                new SpansFilterCreate().query("@_top_level:1 test:service-demo"))
                            .enabled(true)
                            .filterType(RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR))
                    .id("test-id")
                    .type(ApmRetentionFilterType.apm_retention_filter));

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

"""
Update a retention filter returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.apm_retention_filters_api import APMRetentionFiltersApi
from datadog_api_client.v2.model.apm_retention_filter_type import ApmRetentionFilterType
from datadog_api_client.v2.model.retention_filter_all_type import RetentionFilterAllType
from datadog_api_client.v2.model.retention_filter_update_attributes import RetentionFilterUpdateAttributes
from datadog_api_client.v2.model.retention_filter_update_data import RetentionFilterUpdateData
from datadog_api_client.v2.model.retention_filter_update_request import RetentionFilterUpdateRequest
from datadog_api_client.v2.model.spans_filter_create import SpansFilterCreate

# there is a valid "retention_filter" in the system
RETENTION_FILTER_DATA_ID = environ["RETENTION_FILTER_DATA_ID"]

body = RetentionFilterUpdateRequest(
    data=RetentionFilterUpdateData(
        attributes=RetentionFilterUpdateAttributes(
            name="test",
            rate=0.9,
            filter=SpansFilterCreate(
                query="@_top_level:1 test:service-demo",
            ),
            enabled=True,
            filter_type=RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR,
        ),
        id="test-id",
        type=ApmRetentionFilterType.apm_retention_filter,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = APMRetentionFiltersApi(api_client)
    response = api_instance.update_apm_retention_filter(filter_id=RETENTION_FILTER_DATA_ID, body=body)

    print(response)

"""
Update a retention filter with trace rate returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.apm_retention_filters_api import APMRetentionFiltersApi
from datadog_api_client.v2.model.apm_retention_filter_type import ApmRetentionFilterType
from datadog_api_client.v2.model.retention_filter_all_type import RetentionFilterAllType
from datadog_api_client.v2.model.retention_filter_update_attributes import RetentionFilterUpdateAttributes
from datadog_api_client.v2.model.retention_filter_update_data import RetentionFilterUpdateData
from datadog_api_client.v2.model.retention_filter_update_request import RetentionFilterUpdateRequest
from datadog_api_client.v2.model.spans_filter_create import SpansFilterCreate

# there is a valid "retention_filter" in the system
RETENTION_FILTER_DATA_ID = environ["RETENTION_FILTER_DATA_ID"]

body = RetentionFilterUpdateRequest(
    data=RetentionFilterUpdateData(
        attributes=RetentionFilterUpdateAttributes(
            name="test",
            rate=0.9,
            trace_rate=1.0,
            filter=SpansFilterCreate(
                query="@_top_level:1 test:service-demo",
            ),
            enabled=True,
            filter_type=RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR,
        ),
        id="test-id",
        type=ApmRetentionFilterType.apm_retention_filter,
    ),
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = APMRetentionFiltersApi(api_client)
    response = api_instance.update_apm_retention_filter(filter_id=RETENTION_FILTER_DATA_ID, body=body)

    print(response)

# Update a retention filter returns "OK" response

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

# there is a valid "retention_filter" in the system
RETENTION_FILTER_DATA_ID = ENV["RETENTION_FILTER_DATA_ID"]

body = DatadogAPIClient::V2::RetentionFilterUpdateRequest.new({
  data: DatadogAPIClient::V2::RetentionFilterUpdateData.new({
    attributes: DatadogAPIClient::V2::RetentionFilterUpdateAttributes.new({
      name: "test",
      rate: 0.9,
      filter: DatadogAPIClient::V2::SpansFilterCreate.new({
        query: "@_top_level:1 test:service-demo",
      }),
      enabled: true,
      filter_type: DatadogAPIClient::V2::RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR,
    }),
    id: "test-id",
    type: DatadogAPIClient::V2::ApmRetentionFilterType::APM_RETENTION_FILTER,
  }),
})
p api_instance.update_apm_retention_filter(RETENTION_FILTER_DATA_ID, body)

# Update a retention filter with trace rate returns "OK" response

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

# there is a valid "retention_filter" in the system
RETENTION_FILTER_DATA_ID = ENV["RETENTION_FILTER_DATA_ID"]

body = DatadogAPIClient::V2::RetentionFilterUpdateRequest.new({
  data: DatadogAPIClient::V2::RetentionFilterUpdateData.new({
    attributes: DatadogAPIClient::V2::RetentionFilterUpdateAttributes.new({
      name: "test",
      rate: 0.9,
      trace_rate: 1.0,
      filter: DatadogAPIClient::V2::SpansFilterCreate.new({
        query: "@_top_level:1 test:service-demo",
      }),
      enabled: true,
      filter_type: DatadogAPIClient::V2::RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR,
    }),
    id: "test-id",
    type: DatadogAPIClient::V2::ApmRetentionFilterType::APM_RETENTION_FILTER,
  }),
})
p api_instance.update_apm_retention_filter(RETENTION_FILTER_DATA_ID, body)

// Update a retention filter returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_apm_retention_filters::APMRetentionFiltersAPI;
use datadog_api_client::datadogV2::model::ApmRetentionFilterType;
use datadog_api_client::datadogV2::model::RetentionFilterAllType;
use datadog_api_client::datadogV2::model::RetentionFilterUpdateAttributes;
use datadog_api_client::datadogV2::model::RetentionFilterUpdateData;
use datadog_api_client::datadogV2::model::RetentionFilterUpdateRequest;
use datadog_api_client::datadogV2::model::SpansFilterCreate;

#[tokio::main]
async fn main() {
    // there is a valid "retention_filter" in the system
    let retention_filter_data_id = std::env::var("RETENTION_FILTER_DATA_ID").unwrap();
    let body = RetentionFilterUpdateRequest::new(RetentionFilterUpdateData::new(
        RetentionFilterUpdateAttributes::new(
            true,
            SpansFilterCreate::new("@_top_level:1 test:service-demo".to_string()),
            RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR,
            "test".to_string(),
            0.9,
        ),
        "test-id".to_string(),
        ApmRetentionFilterType::apm_retention_filter,
    ));
    let configuration = datadog::Configuration::new();
    let api = APMRetentionFiltersAPI::with_config(configuration);
    let resp = api
        .update_apm_retention_filter(retention_filter_data_id.clone(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

// Update a retention filter with trace rate returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_apm_retention_filters::APMRetentionFiltersAPI;
use datadog_api_client::datadogV2::model::ApmRetentionFilterType;
use datadog_api_client::datadogV2::model::RetentionFilterAllType;
use datadog_api_client::datadogV2::model::RetentionFilterUpdateAttributes;
use datadog_api_client::datadogV2::model::RetentionFilterUpdateData;
use datadog_api_client::datadogV2::model::RetentionFilterUpdateRequest;
use datadog_api_client::datadogV2::model::SpansFilterCreate;

#[tokio::main]
async fn main() {
    // there is a valid "retention_filter" in the system
    let retention_filter_data_id = std::env::var("RETENTION_FILTER_DATA_ID").unwrap();
    let body = RetentionFilterUpdateRequest::new(RetentionFilterUpdateData::new(
        RetentionFilterUpdateAttributes::new(
            true,
            SpansFilterCreate::new("@_top_level:1 test:service-demo".to_string()),
            RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR,
            "test".to_string(),
            0.9,
        )
        .trace_rate(1.0 as f64),
        "test-id".to_string(),
        ApmRetentionFilterType::apm_retention_filter,
    ));
    let configuration = datadog::Configuration::new();
    let api = APMRetentionFiltersAPI::with_config(configuration);
    let resp = api
        .update_apm_retention_filter(retention_filter_data_id.clone(), body)
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

/**
 * Update a retention filter 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.APMRetentionFiltersApi(configuration);

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

const params: v2.APMRetentionFiltersApiUpdateApmRetentionFilterRequest = {
  body: {
    data: {
      attributes: {
        name: "test",
        rate: 0.9,
        filter: {
          query: "@_top_level:1 test:service-demo",
        },
        enabled: true,
        filterType: "spans-sampling-processor",
      },
      id: "test-id",
      type: "apm_retention_filter",
    },
  },
  filterId: RETENTION_FILTER_DATA_ID,
};

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

/**
 * Update a retention filter with trace rate 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.APMRetentionFiltersApi(configuration);

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

const params: v2.APMRetentionFiltersApiUpdateApmRetentionFilterRequest = {
  body: {
    data: {
      attributes: {
        name: "test",
        rate: 0.9,
        traceRate: 1.0,
        filter: {
          query: "@_top_level:1 test:service-demo",
        },
        enabled: true,
        filterType: "spans-sampling-processor",
      },
      id: "test-id",
      type: "apm_retention_filter",
    },
  },
  filterId: RETENTION_FILTER_DATA_ID,
};

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