Obtaining Timeline Call Business Analytics Data

const RC = require('@ringcentral/sdk').SDK

// Instantiate the SDK and get the platform instance
var rcsdk = new RC({
    server: 'https://platform.ringcentral.com',
    clientId: 'RC_APP_CLIENT_ID',
    clientSecret: 'RC_APP_CLIENT_SECRET'
});
var platform = rcsdk.platform();

/* Authenticate a user using a personal JWT token */
platform.login({ jwt: 'RC_USER_JWT' })

platform.on(platform.events.loginSuccess, function(e){
    read_analytics_timeline_grouped_by_users()
});

/*
  Read timeline analytics data from a period of time, broken down by day time frames and grouped by users
*/
async function read_analytics_timeline_grouped_by_users(){
  try {
    let userIds = await read_users()
    let bodyParams = {
        grouping: {
            groupBy: "Users",
            keys: userIds,
        },
        timeSettings: {
          timeZone: "America/Los_Angeles",
          timeRange: {
            // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
            // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
            // your local time to UTC time!
            timeFrom: "2023-01-01T00:00:00.000Z",
            timeTo: "2023-02-15T23:59:59.999Z"
          },
          advancedTimeSettings: {
            includeDays: [ "Sunday" ],
            includeHours: [
              {
                from: "00:00",
                to: "23:59"
              }
            ]
          }
        },
        responseOptions: {
          counters: {
            allCalls: true
          }
        }
      }

    let queryParams = {
      interval: 'Day',
      perPage: 10
    }
    var endpoint = '/analytics/calls/v1/accounts/~/timeline/fetch'
    var resp = await platform.post(endpoint, bodyParams, queryParams)
    var jsonObj = await resp.json()
    console.log(jsonObj)
  }catch(e){
    console.log(e.message)
  }
}

/*
  Read users and create a list of user id
*/
async function read_users()
{
  var userIds = []
  var queryParams = {
          type: ["User"]
        }
  let endpoint = "/restapi/v1.0/account/~/extension/"
  var resp = await platform.get(endpoint, queryParams)
  let jsonObj = await resp.json()
  for (var record of jsonObj.records) {
    // You can filter out any user you don't want to read analytics data!
    userIds.push(String(record.id))
  }
  return userIds;
}

from ringcentral import SDK
import json

#
#  Read timeline analytics data from a period of time, broken down by day time frames and grouped by users
#
def read_analytics_timeline_grouped_by_users():
  userIds = read_users()
  try:
    bodyParams = {
      'grouping': {
        'groupBy': "Users",
        'keys': userIds
      },
      'timeSettings':{
        'timeZone': "America/Los_Angeles",
        'timeRange': {
          # Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
          # The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
          # your local time to UTC time!
          'timeFrom': "2023-01-01T00:00:00.000Z",
          'timeTo': "2023-02-15T23:59:59.999Z"
        },
        'advancedTimeSettings': {
          'includeDays': [ "Sunday" ],
          'includeHours': [
            {
              'from': "00:00",
              'to': "23:59"
            }
          ]
        }
      },
      'responseOptions': {
        'counters': {
          'allCalls': True
        }
      }
    }

    queryParams = {
      'interval': "Day",
      'perPage': 10
    }

    endpoint = '/analytics/calls/v1/accounts/~/timeline/fetch'
    resp = platform.post(endpoint, bodyParams, queryParams)
    jsonObj = resp.json_dict()
    print(json.dumps(jsonObj, indent=2, sort_keys=True))
  except Exception as e:
    print ("Unable to read analytics timeline. ", str(e))

#
#  Read users and create a list of user id
#
def read_users():
  userIds = []
  try:
    queryParams = {
          'type': ["User"]
    }
    endpoint = "/restapi/v1.0/account/~/extension/"
    resp = platform.get(endpoint, queryParams)
    jsonObj = resp.json()
    for record in jsonObj.records:
      # You can filter out any user you don't want to read analytics data!
      userIds.append(str(record.id))
  except Exception as e:
    print ("Unable to read users. ", str(e))
  return userIds


# Authenticate a user using a personal JWT token
def login():
  try:
    platform.login( jwt= "RC_USER_JWT" )
    read_analytics_timeline_grouped_by_users()
  except Exception as e:
    print ("Unable to authenticate to platform. Check credentials." + str(e))

# Instantiate the SDK and get the platform instance
rcsdk = SDK("RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com")
platform = rcsdk.platform()

login()

<?php
require('vendor/autoload.php');

// Instantiate the SDK and get the platform instance
$rcsdk = new RingCentral\SDK\SDK( 'RC_APP_CLIENT_ID', 'RC_APP_CLIENT_SECRET', 'https://platform.ringcentral.com' );
$platform = $rcsdk->platform();

/* Authenticate a user using a personal JWT token */
$platform->login(["jwt" => 'RC_USER_JWT']);
read_analytics_timeline_grouped_by_users();

/*
  Read timeline analytics data from a period of time, broken down by day time frames and grouped by users
*/
function read_analytics_timeline_grouped_by_users() {
  global $platform;
  try{
    $userIds = read_users();
    $bodyParams = array(
      'grouping' => array (
        'groupBy' => "Users",
        'keys' => $userIds,
      ),
      'timeSettings' => array (
        'timeZone' => "America/Los_Angeles",
        'timeRange' => array (
          // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
          // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
          // your local time to UTC time!
          'timeFrom' => "2023-01-01T00:00:00.000Z",
          'timeTo' => "2023-02-15T23:59:59.999Z"
        ),
        'advancedTimeSettings' => array (
          'includeDays' => array ("Sunday"),
          'includeHours' => array (
            array ('from' => "00:00", 'to' => "23:59")
          )
        )
      ),
      'responseOptions' => array (
        'counters' => array (
          'allCalls' => true
        )
      )
    );

    $queryParams = array (
      'interval' => "Day",
      'perPage' => 10
    );

    $endpoint = '/analytics/calls/v1/accounts/~/timeline/fetch';
    $resp = $platform->post($endpoint, $bodyParams, $queryParams);
    print_r (json_encode($resp->json(), JSON_PRETTY_PRINT));
  }catch (\RingCentral\SDK\Http\ApiException $e) {
    print_r ('Error: ' . $e->getMessage() . PHP_EOL);
  }
}

/*
  Read users and create a list of user id
*/
function read_users()
{
  global $platform;
  $userIds = array();
  try{
    $queryParams = array (
          'type' => array ("User")
        );
    $endpoint = "/restapi/v1.0/account/~/extension/";
    $resp = $platform->get($endpoint, $queryParams);
    foreach ($resp->json()->records as $record) {
      // You can filter out any call queue you don't want to read analytics data!
      array_push($userIds, strval($record->id));
    }
    return $userIds;
  }catch (\RingCentral\SDK\Http\ApiException $e) {
    print_r ('Error: ' . $e->getMessage() . PHP_EOL);
  }
}
?>

require 'ringcentral'

#
#  Read timeline analytics data from a period of time, broken down by day time frames and grouped by users
#
def read_analytics_timeline_grouped_by_users()
  begin
    userIds = read_users()
    bodyParams = {
        'grouping':{
          'groupBy': "Users",
          'keys': userIds
        },
        'timeSettings':{
          'timeZone': "America/Los_Angeles",
          'timeRange':{
            # Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current datetime
            # The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
            # your local time to UTC time!
            'timeFrom': "2023-01-01T00:00:00.000Z",
            'timeTo': "2023-02-15T23:59:59.999Z"
          },
          'advancedTimeSettings': {
            'includeDays': [ "Sunday" ],
            'includeHours': [
              {
                'from': "00:00",
                'to': "23:59"
              }
            ]
          }
        },
        'responseOptions':{
          'counters':{
            'allCalls': true
          }
        }
      }
    queryParams = {
      'interval': "Day",
      'perPage': 10
    }
    resp = $platform.post('/analytics/calls/v1/accounts/~/timeline/fetch', payload: bodyParams, params: queryParams)
    puts JSON.pretty_generate(resp.body)
  rescue StandardError => e
    puts (e)
  end
end

#
#  Read users and create a list of user id
#
def read_users()
    userIds = []
    queryParams = {
            'type': ["User"]
          }
    endpoint = "/restapi/v1.0/account/~/extension/"
    resp = $platform.get(endpoint, queryParams)
    jsonObj = resp.body
    for record in jsonObj['records'] do
      # You can filter out any user you don't want to read analytics data!
      userIds.append(record['id'].to_s)
    end
  return userIds
end

# Authenticate a user using a personal JWT token
def login()
  begin
    $platform.authorize( jwt: "RC_USER_JWT" )
    read_analytics_timeline_grouped_by_users()
  rescue StandardError => e
    puts ("Unable to authenticate to platform. Check credentials." + e.to_s)
  end
end

# Instantiate the SDK and get the platform instance
$platform = RingCentral.new( "RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com" )

login()

using System;
using System.IO;
using System.Threading.Tasks;
using System.Collections.Generic;
using RingCentral;
using Newtonsoft.Json;

namespace TimeLineByUsers {
  class Program {
    static RestClient restClient;

    static async Task Main(string[] args){
      // Instantiate the SDK
      restClient = new RestClient("RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com");
      // Authenticate a user using a personal JWT token
      await restClient.Authorize("RC_USER_JWT");

      await read_analytics_timeline_grouped_by_users();
    }
    /*
      Read timeline analytics data from a period of time, broken down by day time frames and grouped by users
    */
    static private async Task read_analytics_timeline_grouped_by_users()
    {
      try
      {
        var bodyParams = new TimelineRequest();
        bodyParams.grouping = new Grouping();
        bodyParams.grouping.groupBy = "Users";
        bodyParams.grouping.keys = await read_users();

        bodyParams.timeSettings = new TimeSettings();
        bodyParams.timeSettings.timeZone = "America/Los_Angeles";
        bodyParams.timeSettings.advancedTimeSettings = new AdvancedTimeSettings();
        bodyParams.timeSettings.advancedTimeSettings.includeDays = new String[] { "Monday", "Tuesday", "Wednesday" };
        var hrInterval = new HoursInterval { from = "00:00", to = "23:59" };
        bodyParams.timeSettings.advancedTimeSettings.includeHours = new HoursInterval[] { hrInterval };
        bodyParams.timeSettings.timeRange = new TimeRange();
        // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
        // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
        // your local time to UTC time!
        bodyParams.timeSettings.timeRange.timeFrom = "2023-01-01T00:00:00.000Z";
        bodyParams.timeSettings.timeRange.timeTo = "2023-02-15T23:59:59.999Z";

        bodyParams.responseOptions = new TimelineResponseOptions();
        bodyParams.responseOptions.counters = new TimelineResponseOptionsCounters();
        bodyParams.responseOptions.counters.allCalls = true;
        bodyParams.responseOptions.counters.callsByDirection = true;
        bodyParams.responseOptions.counters.callsByOrigin = true;

        var queryParams = new AnalyticsCallsTimelineFetchParameters();
        queryParams.perPage = 10;
        queryParams.interval = "Day";

        var response = await restClient.Analytics().Calls().V1().Accounts("~").Timeline().Fetch().Post(bodyParams, queryParams);
        Console.WriteLine(JsonConvert.SerializeObject(response, Formatting.Indented));
      }
      catch (Exception ex)
      {
        Console.WriteLine(ex.Message);
      }
    }
    /*
      Read users and create a list of user id
    */
    static private async Task<String[]> read_users()
    {
      List<String> list = new List<String>();
      try
      {
        var queryParams = new ListExtensionsParameters();
        queryParams.type = new String[] { "User" };
        var resp = await restClient.Restapi().Account().Extension().List(queryParams);
        foreach (var record in resp.records)
        {
          // You can filter out any call queue you don't want to read analytics data!
          list.Add(record.id.ToString());
        }
      }catch (Exception ex)
      {
        Console.WriteLine(ex.Message);
      }
      var userIds = (String[])list.ToArray();
      return userIds;
    }
  }
}

package TimeLineByQueues;

import java.io.IOException;
import com.google.common.reflect.TypeToken;
import com.google.gson.Gson;

import com.ringcentral.*;
import com.ringcentral.definitions.*;

public class TimeLineByQueues {
    static RestClient restClient;

    public static void main(String[] args) {
      var obj = new TimeLineByQueues();
      try {
        // Instantiate the SDK
        restClient = new RestClient("RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com");

        // Authenticate a user using a personal JWT token
        restClient.authorize("RC_USER_JWT");
        obj.read_analytics_timeline_grouped_by_queues();
      } catch (RestException e) {
        System.out.println(e.getMessage());
      } catch (IOException e) {
        e.printStackTrace();
      }
    }
    /*
      Read timeline analytics data from a period of time, broken down by day time frames and grouped by call queues
    */
    public void read_analytics_timeline_grouped_by_users() throws RestException, IOException {
      try {
        var bodyParams = new TimelineRequest();
        bodyParams.grouping = new Grouping();
        bodyParams.grouping.groupBy = "Users";
        bodyParams.grouping.keys = read_users();

        bodyParams.timeSettings = new TimeSettings();
        bodyParams.timeSettings.timeZone = "America/Los_Angeles";
        bodyParams.timeSettings.advancedTimeSettings = new AdvancedTimeSettings();
        bodyParams.timeSettings.advancedTimeSettings.includeDays = new String[] { "Sunday" };
        var hrInterval = new HoursInterval();
        hrInterval.from = "00:00";
        hrInterval.to = "23:59";

        bodyParams.timeSettings.advancedTimeSettings.includeHours = new HoursInterval[] { hrInterval };
        bodyParams.timeSettings.timeRange = new TimeRange();

        // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
        // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
        // your local time to UTC time!
        bodyParams.timeSettings.timeRange.timeFrom = "2023-01-01T00:00:00.000Z";
        bodyParams.timeSettings.timeRange.timeTo = "2023-02-15T23:59:59.999Z";

        bodyParams.responseOptions = new TimelineResponseOptions();
        bodyParams.responseOptions.counters = new TimelineResponseOptionsCounters();
        bodyParams.responseOptions.counters.allCalls = true;
        bodyParams.responseOptions.counters.callsByDirection = true;
        bodyParams.responseOptions.counters.callsByOrigin = true;

        var queryParams = new AnalyticsCallsTimelineFetchParameters();
        queryParams.perPage = 10l;
        queryParams.interval = "Day";

        var resp = restClient.analytics().calls().v1().accounts("~").timeline().fetch().post(bodyParams, queryParams);
        String jsonStr = new Gson().toJson(resp, new TypeToken<Object>(){}.getType());
        System.out.println(jsonStr);
      }catch (RestException e){
        System.out.println(e.getMessage());
      }
    }
    /*
        Read call queues and create a list of call queue id
    */
    private String [] read_users() throws RestException, IOException {
      List<String> list = new ArrayList<>();
      try {
        var queryParams = new ListExtensionsParameters();
        queryParams.type = new String [] { "User" };
        var resp =  restClient.restapi().account().extension().list(queryParams);
        for (var record : resp.records) {
          // You can filter out any call queue you don't want to read analytics data!
          list.add(record.id.toString());
        }
      }catch(RestException e) {
        System.out.println(e.getMessage());
      }
      var userIds = (String[]) list.toArray(new String[list.size()]);
      return userIds;
    }
}

const RC = require('@ringcentral/sdk').SDK

// Instantiate the SDK and get the platform instance
var rcsdk = new RC({
    server: 'https://platform.ringcentral.com',
    clientId: 'RC_APP_CLIENT_ID',
    clientSecret: 'RC_APP_CLIENT_SECRET'
});
var platform = rcsdk.platform();

/* Authenticate a user using a personal JWT token */
platform.login({ jwt: 'RC_USER_JWT' })

platform.on(platform.events.loginSuccess, function(e){
    read_analytics_timeline_grouped_by_queues()
});

/*
  Read timeline analytics data from a period of time, broken down by day time frames and grouped by call queues
*/
async function read_analytics_timeline_grouped_by_queues(){
  try {
    let callQueueIds = await read_call_queues()
    let bodyParams = {
        grouping: {
            groupBy: "Queues",
            keys: callQueueIds,
        },
        timeSettings: {
          timeZone: "America/Los_Angeles",
          timeRange: {
            // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
            // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
            // your local time to UTC time!
            timeFrom: "2023-01-01T00:00:00.000Z",
            timeTo: "2023-02-15T23:59:59.999Z"
          },
          advancedTimeSettings: {
            includeDays: [ "Sunday" ],
            includeHours: [
              {
                from: "00:00",
                to: "23:59"
              }
            ]
          }
        },
        responseOptions: {
          counters: {
            allCalls: true
          }
        }
      }

    let queryParams = {
      interval: 'Day',
      perPage: 10
    }
    var endpoint = '/analytics/calls/v1/accounts/~/timeline/fetch'
    var resp = await platform.post(endpoint, bodyParams, queryParams)
    var jsonObj = await resp.json()
    console.log(jsonObj)
  }catch(e){
    console.log(e.message)
  }
}

/*
  Read call queues and create a list of call queue id
*/
async function read_call_queues()
{
  var callQueueIds = []
  var queryParams = {
          type: ["Department"]
        }
  let endpoint = "/restapi/v1.0/account/~/extension/"
  var resp = await platform.get(endpoint, queryParams)
  let jsonObj = await resp.json()
  for (var record of jsonObj.records) {
    // You can filter out any call queue you don't want to read analytics data!
    callQueueIds.push(String(record.id))
  }
  return callQueueIds;
}

from ringcentral import SDK
import json

#
#  Read timeline analytics data from a period of time, broken down by day time frames and grouped by call queues
#
def read_analytics_timeline_grouped_by_queues():
  callQueueIds = read_call_queues()
  try:
    bodyParams = {
      'grouping': {
        'groupBy': "Queues",
        'keys': callQueueIds
      },
      'timeSettings':{
        'timeZone': "America/Los_Angeles",
        'timeRange': {
          # Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
          # The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
          # your local time to UTC time!
          'timeFrom': "2023-01-01T00:00:00.000Z",
          'timeTo': "2023-03-27T23:59:59.999Z"
        },
        'advancedTimeSettings': {
          'includeDays': [ "Sunday" ],
          'includeHours': [
            {
              'from': "00:00",
              'to': "23:59"
            }
          ]
        }
      },
      'responseOptions': {
        'counters': {
          'allCalls': True
        }
      }
    }

    queryParams = {
      'interval': "Day",
      'perPage': 10
    }

    endpoint = '/analytics/calls/v1/accounts/~/timeline/fetch'
    resp = platform.post(endpoint, bodyParams, queryParams)
    jsonObj = resp.json_dict()
    print(json.dumps(jsonObj, indent=2, sort_keys=True))
  except Exception as e:
    print ("Unable to read analytics timeline", str(e))

#
#  Read call queues and create a list of call queue id
#
def read_call_queues():
  callQueueIds = []
  try:
    queryParams = {
          'type': ["Department"]
    }
    endpoint = "/restapi/v1.0/account/~/extension/"
    resp = platform.get(endpoint, queryParams)
    jsonObj = resp.json()
    for record in jsonObj.records:
      # You can filter out any call queue you don't want to read analytics data!
      callQueueIds.append(str(record.id))
  except Exception as e:
    print ("Unable to read call queues. ", str(e))
  return callQueueIds


# Authenticate a user using a personal JWT token
def login():
  try:
    platform.login( jwt= "RC_USER_JWT" )
    read_analytics_timeline_grouped_by_queues()
  except Exception as e:
    print ("Unable to authenticate to platform. Check credentials." + str(e))

# Instantiate the SDK and get the platform instance
rcsdk = SDK("RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com")
platform = rcsdk.platform()

login()

<?php
require('vendor/autoload.php');

// Instantiate the SDK and get the platform instance
$rcsdk = new RingCentral\SDK\SDK( 'RC_APP_CLIENT_ID', 'RC_APP_CLIENT_SECRET', 'https://platform.ringcentral.com' );
$platform = $rcsdk->platform();

/* Authenticate a user using a personal JWT token */
$platform->login(["jwt" => 'RC_USER_JWT']);
read_analytics_timeline_grouped_by_queues();

/*
  Read timeline analytics data from a period of time, broken down by day time frames and grouped by call queues
*/
function read_analytics_timeline_grouped_by_queues() {
  global $platform;
  try{
    $bodyParams = array(
      'grouping' => array (
        'groupBy' => "Queues",
        'keys' => array ("62284876016") ),
      'timeSettings' => array (
        'timeZone' => "America/Los_Angeles",
        'timeRange' => array (
          // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
          // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
          // your local time to UTC time!
          'timeFrom' => "2023-01-01T00:00:00.000Z",
          'timeTo' => "2023-02-15T23:59:59.999Z"
        ),
        'advancedTimeSettings' => array (
          'includeDays' => array ("Sunday"),
          'includeHours' => array (
            array ('from' => "00:00", 'to' => "23:59")
          )
        )
      ),
      'responseOptions' => array (
        'counters' => array (
          'allCalls' => true
        )
      )
    );

    $queryParams = array (
      'interval' => "Day",
      'perPage' => 10
    );

    $endpoint = '/analytics/calls/v1/accounts/~/timeline/fetch';
    $resp = $platform->post($endpoint, $bodyParams, $queryParams);
    print_r (json_encode($resp->json(), JSON_PRETTY_PRINT));
  }catch (\RingCentral\SDK\Http\ApiException $e) {
    print_r ('Error: ' . $e->getMessage() . PHP_EOL);
  }
}

/*
  Read call queues and create a list of call queue id
*/
function read_call_queues()
{
  global $platform;
  $callQueueIds = array();
  try{
    $queryParams = array (
          'type' => array ("Department")
        );
    $endpoint = "/restapi/v1.0/account/~/extension/";
    $resp = $platform->get($endpoint, $queryParams);
    $jsonObj = $resp->json();
    foreach ($jsonObj->records as $record) {
      // You can filter out any call queue you don't want to read analytics data!
      $callQueueIds->push($record->id);
    }
    return $callQueueIds;
  }catch (\RingCentral\SDK\Http\ApiException $e) {
    print_r ('Error: ' . $e->getMessage() . PHP_EOL);
  }
}
?>

require 'ringcentral'

#
#  Read timeline analytics data from a period of time, broken down by day time frames and grouped by call queues
#
def read_analytics_timeline_grouped_by_queues()
  begin
    callQueueIds = read_call_queues()
    bodyParams = {
            "grouping":{
              "groupBy": "Queues",
              'keys': callQueueIds
            },
            "timeSettings":{
              "timeZone": "America/Los_Angeles",
              "timeRange":{
                # Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
                # The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
                # your local time to UTC time!
                "timeFrom": "2023-01-01T00:00:00.000Z",
                "timeTo": "2023-02-15T23:59:59.999Z"
              },
              "advancedTimeSettings": {
                "includeDays": [ "Sunday" ],
                "includeHours": [
                  {
                    "from": "00:00",
                    "to": "23:59"
                  }
                ]
              }
            },
            "responseOptions":{
              "counters":{
                "allCalls": true
              }
            }
          }

    queryParams = {
        'interval': "Day",
        'perPage': 10
      }

    endpoint = '/analytics/calls/v1/accounts/~/timeline/fetch'
    resp = $platform.post(endpoint, payload: bodyParams, params: queryParams)
    puts JSON.pretty_generate(resp.body)
  rescue StandardError => e
    puts (e)
  end
end

#
#  Read call queues and create a list of call queue id
#
def read_call_queues()
  callQueueIds = []
  queryParams = {
            'type': ["Department"]
          }
  endpoint = "/restapi/v1.0/account/~/extension/"
  resp = $platform.get(endpoint, queryParams)
  jsonObj = resp.body
  for record in jsonObj['records'] do
    # You can filter out any user you don't want to read analytics data!
    callQueueIds.append(record['id'].to_s)
  end
  return callQueueIds
end

# Authenticate a user using a personal JWT token
def login()
  begin
    $platform.authorize( jwt: "RC_USER_JWT" )
    read_analytics_timeline_grouped_by_queues()
  rescue StandardError => e
    puts ("Unable to authenticate to platform. Check credentials." + e.to_s)
  end
end

# Instantiate the SDK and get the platform instance
rcsdk = SDK("RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com")
platform = rcsdk.platform()

login()

using System;
using System.IO;
using System.Threading.Tasks;
using System.Collections.Generic;
using RingCentral;
using Newtonsoft.Json;

namespace TimeLineByUsers {
  class Program {
    static RestClient restClient;

    static async Task Main(string[] args){
      // Instantiate the SDK
      restClient = new RestClient("RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com");

      // Authenticate a user using a personal JWT token
      await restClient.Authorize("RC_USER_JWT");

      await read_analytics_timeline_grouped_by_queues();
    }
    /*
      Read timeline analytics data from a period of time, broken down by day time frames and grouped by call queues
    */
    static private async Task read_analytics_timeline_grouped_by_queues()
    {
      try
      {
        var bodyParams = new TimelineRequest();
        bodyParams.grouping = new Grouping();
        bodyParams.grouping.groupBy = "Queues";
        bodyParams.grouping.keys = await read_call_queues();

        bodyParams.timeSettings = new TimeSettings();
        bodyParams.timeSettings.timeZone = "America/Los_Angeles";
        bodyParams.timeSettings.advancedTimeSettings = new AdvancedTimeSettings();
        bodyParams.timeSettings.advancedTimeSettings.includeDays = new String[] { "Monday", "Tuesday", "Wednesday" };
        var hrInterval = new HoursInterval { from = "00:00", to = "23:59" };
        bodyParams.timeSettings.advancedTimeSettings.includeHours = new HoursInterval[] { hrInterval };
        bodyParams.timeSettings.timeRange = new TimeRange();
        // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
        // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
        // your local time to UTC time!
        bodyParams.timeSettings.timeRange.timeFrom = "2023-01-01T00:00:00.000Z";
        bodyParams.timeSettings.timeRange.timeTo = "2023-02-15T23:59:59.999Z";

        bodyParams.responseOptions = new TimelineResponseOptions();
        bodyParams.responseOptions.counters = new TimelineResponseOptionsCounters();
        bodyParams.responseOptions.counters.allCalls = true;
        bodyParams.responseOptions.counters.callsByDirection = true;
        bodyParams.responseOptions.counters.callsByOrigin = true;

        var queryParams = new AnalyticsCallsTimelineFetchParameters();
        queryParams.perPage = 10;
        queryParams.interval = "Day";

        var response = await restClient.Analytics().Calls().V1().Accounts("~").Timeline().Fetch().Post(bodyParams, queryParams);
        Console.WriteLine(JsonConvert.SerializeObject(response));
      }
      catch (Exception ex)
      {
        Console.WriteLine(ex.Message);
      }
    }
    /*
      Read call queues and create a list of call queue id
    */
    static private async Task<String[]> read_call_queues()
    {
      List<String> list = new List<String>();
      try
      {
        var queryParams = new ListExtensionsParameters();
        queryParams.type = new String[] { "Department" };
        var resp = await restClient.Restapi().Account().Extension().List(queryParams);
        foreach (var record in resp.records)
        {
          // You can filter out any call queue you don't want to read analytics data!
          list.Add(record.id.ToString());
        }
      }catch (Exception ex)
      {
        Console.WriteLine(ex.Message);
      }
      var callQueueIds = (String[])list.ToArray();
      return callQueueIds;
    }
  }
}

package TimeLineByQueues;

import java.io.IOException;
import com.google.common.reflect.TypeToken;
import com.google.gson.Gson;

import com.ringcentral.*;
import com.ringcentral.definitions.*;

public class TimeLineByQueues {
    static RestClient restClient;

    public static void main(String[] args) {
      var obj = new TimeLineByQueues();
      try {
        // Instantiate the SDK
        restClient = new RestClient("RC_APP_CLIENT_ID", "RC_APP_CLIENT_SECRET", "https://platform.ringcentral.com");

        // Authenticate a user using a personal JWT token
        restClient.authorize("RC_USER_JWT");
        obj.read_analytics_timeline_grouped_by_queues();
      } catch (RestException e) {
        System.out.println(e.getMessage());
      } catch (IOException e) {
        e.printStackTrace();
      }
    }
    /*
      Read timeline analytics data from a period of time, broken down by day time frames and grouped by call queues
    */
    public void read_analytics_timeline_grouped_by_queues() throws RestException, IOException {
      try {
        var bodyParams = new TimelineRequest();
        bodyParams.grouping = new Grouping();
        bodyParams.grouping.groupBy = "Queues";
        bodyParams.grouping.keys = read_call_queues();

        bodyParams.timeSettings = new TimeSettings();
        bodyParams.timeSettings.timeZone = "America/Los_Angeles";
        bodyParams.timeSettings.advancedTimeSettings = new AdvancedTimeSettings();
        bodyParams.timeSettings.advancedTimeSettings.includeDays = new String[] { "Sunday" };
        var hrInterval = new HoursInterval();
        hrInterval.from = "00:00";
        hrInterval.to = "23:59";

        bodyParams.timeSettings.advancedTimeSettings.includeHours = new HoursInterval[] { hrInterval };
        bodyParams.timeSettings.timeRange = new TimeRange();

        // Change the "timeFrom" value accordingly so that it does not exceed 184 days from the current date and time
        // The specified time is UTC time. If you want the timeFrom and timeTo your local time, you have to convert
        // your local time to UTC time!
        bodyParams.timeSettings.timeRange.timeFrom = "2023-01-01T00:00:00.000Z";
        bodyParams.timeSettings.timeRange.timeTo = "2023-02-15T23:59:59.999Z";

        bodyParams.responseOptions = new TimelineResponseOptions();
        bodyParams.responseOptions.counters = new TimelineResponseOptionsCounters();
        bodyParams.responseOptions.counters.allCalls = true;
        bodyParams.responseOptions.counters.callsByDirection = true;
        bodyParams.responseOptions.counters.callsByOrigin = true;

        var queryParams = new AnalyticsCallsTimelineFetchParameters();
        queryParams.perPage = 10l;
        queryParams.interval = "Day";

        var resp = restClient.analytics().calls().v1().accounts("~").timeline().fetch().post(bodyParams, queryParams);
        String jsonStr = new Gson().toJson(resp, new TypeToken<Object>(){}.getType());
        System.out.println(jsonStr);
      }catch (RestException e){
        System.out.println(e.getMessage());
      }
    }
    /*
        Read call queues and create a list of call queue id
    */
    private String [] read_call_queues() throws RestException, IOException {
      List<String> list = new ArrayList<>();
      try {
        var queryParams = new ListExtensionsParameters();
        queryParams.type = new String [] { "Department" };
        var resp =  restClient.restapi().account().extension().list(queryParams);
        for (var record : resp.records) {
          // You can filter out any call queue you don't want to read analytics data!
          list.add(record.id.toString());
        }
      }catch(RestException e) {
        System.out.println(e.getMessage());
      }
      var callQueueIds = (String[]) list.toArray(new String[list.size()]);
      return callQueueIds;
    }
}