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431 lines
15 KiB
ReStructuredText
431 lines
15 KiB
ReStructuredText
HTTP Bot API vs MTProto
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=======================
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.. currentmodule:: telethon
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Telethon is more than capable to develop bots for Telegram.
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If you haven't decided which wrapper library for bots to use yet,
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using Telethon from the beginning may save you some headaches later.
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What is Bot API?
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----------------
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`Telegram's HTTP Bot API <https://core.telegram.org/bots/api>`_,
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from now on referred to as simply "Bot API", is Telegram's official way for developers to control their own Telegram bots.
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Quoting their main page:
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.. epigraph::
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The :term:`Bot API` is an HTTP-based interface created for developers keen on building bots for Telegram.
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To learn how to create and set up a bot, please consult our
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`Introduction to Bots <https://core.telegram.org/bots>`_
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and `Bot FAQ <https://core.telegram.org/bots/faq>`_.
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:term:`Bot API` is simply an HTTP endpoint offering a custom HTTP API.
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Underneath, it uses `tdlib <https://core.telegram.org/tdlib>`_ to talk to Telegram's servers.
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You can configure your bot details via `@BotFather <https://t.me/BotFather>`_.
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This includes name, commands, and auto-completion.
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What is MTProto?
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----------------
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`MTProto <https://core.telegram.org/mtproto>`_ stands for "Mobile Transport Protocol".
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It is the language that the Telegram servers "speak".
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You can think of it as an alternative to HTTP.
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Telegram offers multiple APIs.
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All user accounts must use the API offered via MTProto.
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We will call this API the "MTProto API".
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This is the canonical Telegram API.
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The MTProto API is different from Bot API, but bot accounts can use either in the same way.
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In fact, the Bot API is implemented to use the MTProto API to map the requests and responses.
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Telethon implements the MTProto and offers classes and methods that can be called to send requests.
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In Telethon, all the methods and types generated from Telegram's API definitions are also known as :term:`Raw API`.
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This name was chosen because it gives you "raw" access to the MTProto API.
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Telethon's :class:`Client` and other custom types are implemented using the :term:`Raw API`.
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Why is an API ID and hash needed for bots with MTProto?
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-------------------------------------------------------
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When talking to Telegram's API directly, you need an API ID and hash to sign in to their servers.
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API access is forbidden without an API ID, and the sign in can only be done with the API hash.
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When using the :term:`Bot API`, that layer talks to the MTProto API underneath.
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To do so, it uses its own private API ID and hash.
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When you cut on the intermediary, you need to provide your own.
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In a similar manner, the authorization key which remembers that you logged-in must be kept locally.
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Advantages of MTProto over Bot API
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----------------------------------
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MTProto clients (like Telethon) connect directly to Telegram's servers via TCP or UDP.
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There is no HTTP connection, no "polling", and no "web hooks".
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We can compare the two visually:
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.. graphviz::
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:caption: Communication between a Client and the Bot API
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digraph botapi {
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rankdir=LR;
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"Client" -> "HTTP API";
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"HTTP API" -> "MTProto API";
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"MTProto API" -> "Telegram Servers";
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"Telegram Servers" -> "MTProto API" [label="IPC"];
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"MTProto API" -> "HTTP API" [label="MTProto"];
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"HTTP API" -> "Client" [label="JSON"];
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}
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.. graphviz::
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:caption: Communication between a Client and the MTProto API
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digraph botapi {
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rankdir=LR;
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"Client" -> "MTProto API";
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"MTProto API" -> "Telegram Servers";
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"Telegram Servers" -> "MTProto API" [label="IPC"];
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"MTProto API" -> "Client" [label="MTProto"];
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}
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When interacting with the MTProto API directly, we can cut down one intermediary (the HTTP API).
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This is less theoretical overhead and latency.
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It also means that, even if the Bot API endpoint is down, talking to the MTProto API could still work.
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The methods offered by the Bot API map to some of the methods in the MTProto API, but not all.
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The Bot API is its own abstraction, and chooses to expose less details.
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By talking to the MTProto API directly, you unlock the `full potential <https://github.com/LonamiWebs/Telethon/wiki/MTProto-vs-HTTP-Bot-API>`_.
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The serialization format used by MTProto is more compact than JSON and can still be compressed.
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Another benefit of avoiding the Bot API is the ease to switch to user accounts instead of bots.
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The MTProto API is the same for users and bots, so by using Telethon, you don't need to learn to use a second library.
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Migrating from Bot API to Telethon
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----------------------------------
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If the above points convinced you to switch to Telethon, the following short guides should help you make the switch!
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It doesn't matter if you wrote your bot with `requests <https://pypi.org/project/requests/>`_
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and you were making API requests manually, or if you used a wrapper library like
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`python-telegram-bot <https://python-telegram-bot.readthedocs.io>`_
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or `pyTelegramBotAPI <https://pytba.readthedocs.io/en/latest/index.html>`.
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You will surely be pleased with Telethon!
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If you were using an asynchronous library like `aiohttp <https://docs.aiohttp.org/en/stable/>`_
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or a wrapper like `aiogram <https://docs.aiogram.dev/en/latest/>`_, the switch will be even easier.
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Migrating from PTB v13.x
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^^^^^^^^^^^^^^^^^^^^^^^^
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Using one of the examples from their v13 wiki with the ``.ext`` module:
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.. code-block:: python
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from telegram import Update
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from telegram.ext import Updater, CallbackContext, CommandHandler
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updater = Updater(token='TOKEN', use_context=True)
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dispatcher = updater.dispatcher
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def start(update: Update, context: CallbackContext):
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context.bot.send_message(chat_id=update.effective_chat.id, text="I'm a bot, please talk to me!")
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start_handler = CommandHandler('start', start)
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dispatcher.add_handler(start_handler)
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updater.start_polling()
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The code creates an ``Updater`` instance.
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This will take care of polling updates for the bot associated with the given token.
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Then, a ``CommandHandler`` using our ``start`` function is added to the dispatcher.
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At the end, we block, telling the updater to do its job.
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In Telethon:
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.. code-block:: python
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import asyncio
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from telethon import Client
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from telethon.events import NewMessage, filters
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updater = Client('bot', api_id, api_hash)
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async def start(update: NewMessage):
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await update.client.send_message(chat=update.chat.id, text="I'm a bot, please talk to me!")
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start_filter = filters.Command('/start')
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updater.add_event_handler(start, NewMessage, start_filter)
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async def main():
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async with updater:
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await updater.interactive_login('TOKEN')
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await updater.run_until_disconnected()
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asyncio.run(main())
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Key differences:
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* Telethon only has a :class:`~telethon.Client`, not separate ``Bot`` or ``Updater`` classes.
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* There is no separate dispatcher. The :class:`~telethon.Client` is capable of dispatching updates.
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* Telethon handlers only have one parameter, the event.
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* There is no context, but the :attr:`~telethon.events.Event.client` property exists in all events.
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* Handler types are :mod:`~telethon.events.filters` and don't have a ``Handler`` suffix.
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* Telethon must define the update type (:class:`~telethon.events.NewMessage`) and filter.
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* The setup to run the client (and dispatch updates) is a bit more involved with :mod:`asyncio`.
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Here's the above code in idiomatic Telethon:
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.. code-block:: python
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import asyncio
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from telethon import Client, events
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from telethon.events import filters
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client = Client('bot', api_id, api_hash)
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@client.on(events.NewMessage, filters.Command('/start'))
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async def start(event):
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await event.respond("I'm a bot, please talk to me!")
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async def main():
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async with client:
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await client.interactive_login('TOKEN')
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await client.run_until_disconnected()
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asyncio.run(main())
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Events can be added using decorators and methods such as :meth:`types.Message.respond` help reduce the verbosity.
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Migrating from PTB v20.x
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^^^^^^^^^^^^^^^^^^^^^^^^
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Using one of the examples from their v13 wiki with the ``.ext`` module:
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.. code-block:: python
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from telegram import Update
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from telegram.ext import ApplicationBuilder, ContextTypes, CommandHandler
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async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
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await context.bot.send_message(chat_id=update.effective_chat.id, text="I'm a bot, please talk to me!")
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if __name__ == '__main__':
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application = ApplicationBuilder().token('TOKEN').build()
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start_handler = CommandHandler('start', start)
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application.add_handler(start_handler)
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application.run_polling()
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No need to import the :mod:`asyncio` module directly!
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Now instead there are builders to help set stuff up.
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In Telethon:
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.. code-block:: python
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import asyncio
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from telethon import Client
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from telethon.events import NewMessage, filters
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async def start(update: NewMessage):
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await update.client.send_message(chat=update.chat.id, text="I'm a bot, please talk to me!")
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async def main():
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application = Client('bot', api_id, api_hash)
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start_filter = filters.Command('/start')
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application.add_event_handler(start, NewMessage, start_filter)
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async with application:
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await application.interactive_login('TOKEN')
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await application.run_until_disconnected()
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asyncio.run(main())
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Key differences:
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* No builders. Telethon tries to get out of your way on how you structure your code.
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* The client must be connected before it can run, hence the ``async with``.
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Here's the above code in idiomatic Telethon:
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.. code-block:: python
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import asyncio
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from telethon import Client, events
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from telethon.events import filters
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@client.on(events.NewMessage, filters.Command('/start'))
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async def start(event):
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await event.respond("I'm a bot, please talk to me!")
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async def main():
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async with Client('bot', api_id, api_hash) as client:
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await client.interactive_login('TOKEN')
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client.add_event_handler(start, NewMessage, filters.Command('/start'))
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await client.run_until_disconnected()
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asyncio.run(main())
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Note how the client can be created and started in the same line.
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This makes it easy to have clean disconnections once the script exits.
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Migrating from asynchronous TeleBot
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Using one of the examples from their v4 pyTelegramBotAPI documentation:
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.. code-block:: python
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from telebot.async_telebot import AsyncTeleBot
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bot = AsyncTeleBot('TOKEN')
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# Handle '/start' and '/help'
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@bot.message_handler(commands=['help', 'start'])
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async def send_welcome(message):
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await bot.reply_to(message, """\
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Hi there, I am EchoBot.
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I am here to echo your kind words back to you. Just say anything nice and I'll say the exact same thing to you!\
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""")
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# Handle all other messages with content_type 'text' (content_types defaults to ['text'])
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@bot.message_handler(func=lambda message: True)
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async def echo_message(message):
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await bot.reply_to(message, message.text)
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import asyncio
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asyncio.run(bot.polling())
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This showcases a command handler and a catch-all echo handler, both added with decorators.
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In Telethon:
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.. code-block:: python
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from telethon import Client, events
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from telethon.events.filters import Any, Command, TextOnly
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bot = Client('bot', api_id, api_hash)
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# Handle '/start' and '/help'
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@bot.on(events.NewMessage, Any(Command('/help'), Command('/start')))
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async def send_welcome(message: NewMessage):
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await message.reply("""\
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Hi there, I am EchoBot.
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I am here to echo your kind words back to you. Just say anything nice and I'll say the exact same thing to you!\
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""")
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# Handle all other messages with only 'text'
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@bot.on(events.NewMessage, TextOnly())
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async def echo_message(message: NewMessage):
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await message.reply(message.text)
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import asyncio
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async def main():
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async with bot:
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await bot.interactive_login('TOKEN')
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await bot.run_until_disconnected()
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asyncio.run(main())
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Key differences:
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* The handler type is defined using the event type instead of being a specific method in the client.
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* Filters are also separate instances instead of being tied to specific event types.
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* The ``reply_to`` helper is in the message, not the client instance.
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* Setup is a bit more involved because the connection is not implicit.
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For the most part, it's a 1-to-1 translation and the result is idiomatic Telethon.
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Migrating from aiogram
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^^^^^^^^^^^^^^^^^^^^^^
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Using one of the examples from their v3 documentation with logging and comments removed:
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.. code-block:: python
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import asyncio
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from aiogram import Bot, Dispatcher, types
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from aiogram.enums import ParseMode
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from aiogram.filters import CommandStart
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from aiogram.types import Message
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from aiogram.utils.markdown import hbold
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dp = Dispatcher()
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@dp.message(CommandStart())
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async def command_start_handler(message: Message) -> None:
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await message.answer(f"Hello, {hbold(message.from_user.full_name)}!")
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@dp.message()
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async def echo_handler(message: types.Message) -> None:
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try:
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await message.send_copy(chat_id=message.chat.id)
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except TypeError:
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await message.answer("Nice try!")
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async def main() -> None:
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bot = Bot(TOKEN, parse_mode=ParseMode.HTML)
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await dp.start_polling(bot)
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if __name__ == "__main__":
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asyncio.run(main())
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We can see a specific handler for the ``/start`` command and a catch-all echo handler:
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In Telethon:
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.. code-block:: python
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import asyncio, html
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from telethon import Client, RpcError, types, events
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from telethon.events.filters import Command
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from telethon.types import Message
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client = Client("bot", api_id, api_hash)
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@client.on(events.NewMessage, Command("/start"))
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async def command_start_handler(message: Message) -> None:
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await message.respond(html=f"Hello, <b>{html.escape(message.sender.full_name)}</b>!")
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@dp.message()
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async def echo_handler(message: types.Message) -> None:
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try:
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await message.respond(message)
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except RpcError:
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await message.respond("Nice try!")
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async def main() -> None:
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async with bot:
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await bot.interactive_login(TOKEN)
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await bot.run_until_disconnected()
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if __name__ == "__main__":
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asyncio.run(main())
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Key differences:
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* There is no separate dispatcher. Handlers are added to the client.
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* There is no specific handler for the ``/start`` command.
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* The ``answer`` method is for callback queries. Messages have :meth:`~types.Message.respond`.
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* Telethon doesn't have functions to format messages. Instead, markdown or HTML are used.
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* Telethon cannot have a default parse mode. Instead, it should be specified when responding.
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* Telethon doesn't have ``send_copy``. Instead, :meth:`Client.send_message` accepts :class:`~types.Message`.
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* If sending a message fails, the error will be :class:`RpcError`, because it comes from Telegram.
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