libs & SDK
Java Rust PHP Haskell Python Go Other
Latest commit de4d0d7 Jul 14, 2016 @aidarbiktimirov aidarbiktimirov committed on GitHub Merge pull request #73 from AyumuKasuga/patch-2
add async example

Botan SDK

Botan is a telegram bot analytics system based on Yandex.Appmetrica. In this document you can find how to setup Yandex.Appmetrica account, as well as examples of Botan SDK usage.

Botan has 2 main use cases:

Creating an account

SDK usage

We have libraries for the following languages:

Alternatively, you can use Botan API via plain HTTP calls.

In case your preferred language is missed, you can make a contribution. It's easy — library usually contains 30 lines of code.

Also, pay attention to "what data to put into tracking data" section. 90% benefit from analytics usage lies in right integration;)

JavaScript example

Install npm: npm install botanio

var botan = require('botanio')(token);

botan.track(message, 'Start');

var uid =;
var url = ''; // some url you want to send to user
botan.shortenUrl(uid, url, function (err, res, body) {
  if (err) {
  } else {
    console.log(body); // shortened url here

Python example

You need to install requests library to use python botan lib. You can do it with

pip install requests


    import botan

    botan_token = '.........' # Token got from @botaniobot
    uid = message.from_user
    message_dict = message.to_dict()
    event_name = update.message.text
    print botan.track(botan_token, uid, message_dict, event_name)


    original_url = ... # some url you want to send to user
    short_url = botan.shorten_url(original_url, botan_token, uid)
    # now send short_url to user instead of original_url, and get geography, OS, Device of user

PHP example

You need to put the class in a convenient place.

private $token = 'token';

public function _incomingMessage($message_json) {
    $messageObj = json_decode($message_json, true);
    $messageData = $messageObj['message'];

    $botan = new Botan($this->token);
    $botan->track($messageData, 'Start');


    $original_url = ...
    $uid = $message['from']['id']
    $short_url = $botan->shortenUrl($url, $uid)
    // now send short_url to user instead of original_url, and get geography, OS, Device of user

Ruby example

uid is a user id you get from Telegram.

require_relative 'botan'
token = 1111
uid = 1
message = { text: 'text' }
puts Botan.track(token, uid, message, 'Search')

Rust example

extern crate rustc_serialize;

extern crate botanio;

use botanio::{Botan};

#[derive(Debug, RustcEncodable)]
struct Message {
    some_metric: u32,
    another_metric: u32,

fn main() {
    let token = "1111";
    let uid = 1;
    let name = "Search";
    let message = Message {some_metric: 100, another_metric: 500};

    let botan = Botan::new(token);
    botan.track(uid, name, &message).unwrap();

Java example

try (CloseableHttpAsyncClient client = HttpAsyncClients.createDefault()) {
    Botan botan = new Botan(client, new ObjectMapper());
    botan.track("1111", "1", ImmutableMap.of("some_metric": 100, "another_metric": 500), "Search").get();

Go example

package main

import (


type Message struct {
    SomeMetric    int
    AnotherMetric int

func main() {
    ch := make(chan bool) // Channel for synchronization

    bot := botan.New("1111")
    message := Message{100, 500}

    // Asynchronous track example
    bot.TrackAsync(1, message, "Search", func(ans botan.Answer, err []error) {
        fmt.Printf("Asynchonous: %+v\n", ans)
        ch <- true // Synchronization send

    // Synchronous track example
    ans, _ := bot.Track(1, message, "Search")
    fmt.Printf("Synchronous: %+v\n", ans)

    <-ch // Synchronization receive

Haskell example

import           Network.HTTP.Client      (newManager)
import           Network.HTTP.Client.TLS  (tlsManagerSettings)
import           Servant.Client
import           Web.Botan.Sdk
import           GHC.Generics
import           Data.Aeson
import           Control.Concurrent.Async

main :: IO ()
main = do
  manager <- runIO $ newManager tlsManagerSettings
  let message = toJSON $ AnyMessage "A" "B"
  a <- async $ track "token" "user2222" message "test_action" manager
  res <- wait a -- not real use case
  print res

data AnyMessage = AnyMessage
    a :: Text
  , b :: Text
  } deriving (Show, Generic, ToJSON)


Track message

The base url is:

You should put data to Botan using POST method.

The url should look like

Please provide a json document as the post body.

API response is a json document:

  • on success: {"status": "accepted"}
  • on failure: {"status": "failed"} or {"status": "bad request", "info": "some_additional_info_about_error"}

Shorten url

Send GET request to{token}&url={original_url}&user_ids={user_id}

You get shortened url in a plain-text response (in case the response code was 200). Codes other than 200 mean that an error occurred.

Also, in case of group chats you can add several user_ids: &user_ids={user_id_1},{user_id_2},{user_id_3}, but currently this data will not be used (because we don't know which particular user clicked link).

What to put into tracking data

Basic integration

botan.track(<botan_token>, <user_who_wrote_to_bot>, <user_message_in_json_format>, <command_name>)
  • command_name - we recommend to put here not just message text, but command. Example: user wrote '/search californication', put to command_name 'Search'. This will help you to aggregate type of user's input and get such report: Result of basic usage of botan
  • user_message_in_json_format - whole message got from Telegram. For example, using python-telegram-bot you can do it in such way: message.to_dict(). Passing whole message, you will be able to see nice data like number of group chats among all chats: Group and private chats amount Also you will be able to get userids who performed some particular action (through segmentation) or your most active users and contact them: Most active users who did particular events

Advanced integration

Actually, most benefit from analytics usage lies in sending right events with right data inside. Here is some best practices we recommend. Feel free to contribute your ways or improve existing ones.

Commands order

That's how you can see what command users execute after which:

botan.track(<botan_token>, <user_who_wrote_to_bot>, {last_command: current_command}, "command_order")

Also you can send not pairs, but triples of commands:

botan.track(<botan_token>, <user_who_wrote_to_bot>, {before_last_command: {last_command: current_command}}, "command_order")

Using this, we can see, for example, what commands users execute after /start: Commands after start

Date cohorts

Here is how you can tag every user with time cohort based on what was his first day at your service. Later you can use to see how your bot's performance has changed over time:

if this_is_first_occurence_of_user:
                        'weekly': ( - datetime.timedelta('%Y-%m-%d'),

Get user profiles by wrapping links

How it works

You create unique short link for each pair (user, link). When user clicks the link, Botan stores his user agent, IP address and other stuff. After that you'll be able to use user segmentation by geography, language, device and operating system (and see corresponding statistics).

What url to wrap

We suggest you to wrap every url that you send to user. Most often use case is sending "please rate us" link — most popular bots asks for rating in

What you will get

You'll get a lot of useful new data in the web interface:

Countries, regions and cities Countries and regions/cities

Devices Devices

Operating systems Operating systems

Locales Locales

How to use

Here you can find examples for Python, PHP. Feel free to make pull requests with wrappers for other languages (here's HTTP spec for the shortener).


We are welcome any contributions as pull-requests!

Feel free to write more libraries for the languages we are not supporting yet.