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5b91adf62d
Closes #1733.
230 lines
7.6 KiB
ReStructuredText
230 lines
7.6 KiB
ReStructuredText
.. _full-api:
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============
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The Full API
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============
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.. important::
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While you have access to this, you should always use the friendly
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methods listed on :ref:`client-ref` unless you have a better reason
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not to, like a method not existing or you wanting more control.
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The :ref:`telethon-client` doesn't offer a method for every single request
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the Telegram API supports. However, it's very simple to *call* or *invoke*
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any request. Whenever you need something, don't forget to `check the documentation`_
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and look for the `method you need`_. There you can go through a sorted list
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of everything you can do.
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.. note::
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The reason to keep both https://tl.telethon.dev and this
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documentation alive is that the former allows instant search results
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as you type, and a "Copy import" button. If you like namespaces, you
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can also do ``from telethon.tl import types, functions``. Both work.
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You should also refer to the documentation to see what the objects
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(constructors) Telegram returns look like. Every constructor inherits
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from a common type, and that's the reason for this distinction.
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Say `client.send_message()
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<telethon.client.messages.MessageMethods.send_message>` didn't exist,
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we could `use the search`_ to look for "message". There we would find
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:tl:`SendMessageRequest`, which we can work with.
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Every request is a Python class, and has the parameters needed for you
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to invoke it. You can also call ``help(request)`` for information on
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what input parameters it takes. Remember to "Copy import to the
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clipboard", or your script won't be aware of this class! Now we have:
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.. code-block:: python
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from telethon.tl.functions.messages import SendMessageRequest
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If you're going to use a lot of these, you may do:
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.. code-block:: python
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from telethon.tl import types, functions
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# We now have access to 'functions.messages.SendMessageRequest'
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We see that this request must take at least two parameters, a ``peer``
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of type :tl:`InputPeer`, and a ``message`` which is just a Python
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`str`\ ing.
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How can we retrieve this :tl:`InputPeer`? We have two options. We manually
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construct one, for instance:
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.. code-block:: python
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from telethon.tl.types import InputPeerUser
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peer = InputPeerUser(user_id, user_hash)
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Or we call `client.get_input_entity()
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<telethon.client.users.UserMethods.get_input_entity>`:
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.. code-block:: python
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import telethon
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async def main():
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peer = await client.get_input_entity('someone')
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client.loop.run_until_complete(main())
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.. note::
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Remember that ``await`` must occur inside an ``async def``.
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Every full API example assumes you already know and do this.
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When you're going to invoke an API method, most require you to pass an
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:tl:`InputUser`, :tl:`InputChat`, or so on, this is why using
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`client.get_input_entity() <telethon.client.users.UserMethods.get_input_entity>`
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is more straightforward (and often immediate, if you've seen the user before,
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know their ID, etc.). If you also **need** to have information about the whole
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user, use `client.get_entity() <telethon.client.users.UserMethods.get_entity>`
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instead:
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.. code-block:: python
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entity = await client.get_entity('someone')
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In the later case, when you use the entity, the library will cast it to
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its "input" version for you. If you already have the complete user and
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want to cache its input version so the library doesn't have to do this
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every time its used, simply call `telethon.utils.get_input_peer`:
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.. code-block:: python
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from telethon import utils
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peer = utils.get_input_peer(entity)
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.. note::
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Since ``v0.16.2`` this is further simplified. The ``Request`` itself
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will call `client.get_input_entity
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<telethon.client.users.UserMethods.get_input_entity>` for you when
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required, but it's good to remember what's happening.
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After this small parenthesis about `client.get_entity
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<telethon.client.users.UserMethods.get_entity>` versus
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`client.get_input_entity() <telethon.client.users.UserMethods.get_input_entity>`,
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we have everything we need. To invoke our
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request we do:
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.. code-block:: python
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result = await client(SendMessageRequest(peer, 'Hello there!'))
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Message sent! Of course, this is only an example. There are over 250
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methods available as of layer 80, and you can use every single of them
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as you wish. Remember to use the right types! To sum up:
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.. code-block:: python
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result = await client(SendMessageRequest(
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await client.get_input_entity('username'), 'Hello there!'
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))
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This can further be simplified to:
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.. code-block:: python
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result = await client(SendMessageRequest('username', 'Hello there!'))
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# Or even
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result = await client(SendMessageRequest(PeerChannel(id), 'Hello there!'))
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.. note::
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Note that some requests have a "hash" parameter. This is **not**
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your ``api_hash``! It likely isn't your self-user ``.access_hash`` either.
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It's a special hash used by Telegram to only send a difference of new data
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that you don't already have with that request, so you can leave it to 0,
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and it should work (which means no hash is known yet).
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For those requests having a "limit" parameter, you can often set it to
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zero to signify "return default amount". This won't work for all of them
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though, for instance, in "messages.search" it will actually return 0 items.
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Requests in Parallel
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====================
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The library will automatically merge outgoing requests into a single
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*container*. Telegram's API supports sending multiple requests in a
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single container, which is faster because it has less overhead and
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the server can run them without waiting for others. You can also
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force using a container manually:
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.. code-block:: python
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async def main():
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# Letting the library do it behind the scenes
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await asyncio.wait([
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client.send_message('me', 'Hello'),
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client.send_message('me', ','),
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client.send_message('me', 'World'),
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client.send_message('me', '.')
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])
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# Manually invoking many requests at once
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await client([
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SendMessageRequest('me', 'Hello'),
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SendMessageRequest('me', ', '),
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SendMessageRequest('me', 'World'),
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SendMessageRequest('me', '.')
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])
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Note that you cannot guarantee the order in which they are run.
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Try running the above code more than one time. You will see the
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order in which the messages arrive is different.
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If you use the raw API (the first option), you can use ``ordered``
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to tell the server that it should run the requests sequentially.
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This will still be faster than going one by one, since the server
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knows all requests directly:
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.. code-block:: python
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await client([
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SendMessageRequest('me', 'Hello'),
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SendMessageRequest('me', ', '),
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SendMessageRequest('me', 'World'),
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SendMessageRequest('me', '.')
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], ordered=True)
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If any of the requests fails with a Telegram error (not connection
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errors or any other unexpected events), the library will raise
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`telethon.errors.common.MultiError`. You can ``except`` this
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and still access the successful results:
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.. code-block:: python
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from telethon.errors import MultiError
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try:
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await client([
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SendMessageRequest('me', 'Hello'),
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SendMessageRequest('me', ''),
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SendMessageRequest('me', 'World')
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], ordered=True)
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except MultiError as e:
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# The first and third requests worked.
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first = e.results[0]
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third = e.results[2]
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# The second request failed.
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second = e.exceptions[1]
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.. _check the documentation: https://tl.telethon.dev
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.. _method you need: https://tl.telethon.dev/methods/index.html
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.. _use the search: https://tl.telethon.dev/?q=message&redirect=no
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