import os import struct import time from hashlib import sha256 from .._crypto import AES from ..errors import SecurityError, InvalidBufferError from .._misc import BinaryReader from .._tl.core import TLMessage from .._tl.tlobject import TLRequest from .. import _tl from .._tl.core.gzippacked import GzipPacked class _OpaqueRequest(TLRequest): """ Wraps a serialized request into a type that can be serialized again. """ def __init__(self, data: bytes): self.data = data def _bytes(self): return self.data class MTProtoState: """ `telethon.network.mtprotosender.MTProtoSender` needs to hold a state in order to be able to encrypt and decrypt incoming/outgoing messages, as well as generating the message IDs. Instances of this class hold together all the required information. It doesn't make sense to use `telethon.sessions.abstract.Session` for the sender because the sender should *not* be concerned about storing this information to disk, as one may create as many senders as they desire to any other data center, or some CDN. Using the same session for all these is not a good idea as each need their own authkey, and the concept of "copying" sessions with the unnecessary entities or updates state for these connections doesn't make sense. While it would be possible to have a `MTProtoPlainState` that does no encryption so that it was usable through the `MTProtoLayer` and thus avoid the need for a `MTProtoPlainSender`, the `MTProtoLayer` is more focused to efficiency and this state is also more advanced (since it supports gzipping and invoking after other message IDs). There are too many methods that would be needed to make it convenient to use for the authentication process, at which point the `MTProtoPlainSender` is better. """ def __init__(self, auth_key, loggers): self.auth_key = auth_key self._log = loggers[__name__] self.time_offset = 0 self.salt = 0 self.id = self._sequence = self._last_msg_id = None self.reset() def reset(self): """ Resets the state. """ # Session IDs can be random on every connection self.id = struct.unpack('q', os.urandom(8))[0] self._sequence = 0 self._last_msg_id = 0 def update_message_id(self, message): """ Updates the message ID to a new one, used when the time offset changed. """ message.msg_id = self._get_new_msg_id() @staticmethod def _calc_key(auth_key, msg_key, client): """ Calculate the key based on Telegram guidelines for MTProto 2, specifying whether it's the client or not. See https://core.telegram.org/mtproto/description#defining-aes-key-and-initialization-vector """ x = 0 if client else 8 sha256a = sha256(msg_key + auth_key[x: x + 36]).digest() sha256b = sha256(auth_key[x + 40:x + 76] + msg_key).digest() aes_key = sha256a[:8] + sha256b[8:24] + sha256a[24:32] aes_iv = sha256b[:8] + sha256a[8:24] + sha256b[24:32] return aes_key, aes_iv def write_data_as_message(self, buffer, data, content_related, *, after_id=None): """ Writes a message containing the given data into buffer. Returns the message id. """ msg_id = self._get_new_msg_id() seq_no = self._get_seq_no(content_related) if after_id is None: body = GzipPacked.gzip_if_smaller(content_related, data) else: # The `RequestState` stores `bytes(request)`, not the request itself. # `invokeAfterMsg` wants a `TLRequest` though, hence the wrapping. body = GzipPacked.gzip_if_smaller(content_related, bytes(_tl.fn.InvokeAfterMsgRequest(after_id, _OpaqueRequest(data)))) buffer.write(struct.pack('= new_msg_id: new_msg_id = self._last_msg_id + 4 self._last_msg_id = new_msg_id return new_msg_id def update_time_offset(self, correct_msg_id): """ Updates the time offset to the correct one given a known valid message ID. """ bad = self._get_new_msg_id() old = self.time_offset now = int(time.time()) correct = correct_msg_id >> 32 self.time_offset = correct - now if self.time_offset != old: self._last_msg_id = 0 self._log.debug( 'Updated time offset (old offset %d, bad %d, good %d, new %d)', old, bad, correct_msg_id, self.time_offset ) return self.time_offset def _get_seq_no(self, content_related): """ Generates the next sequence number depending on whether it should be for a content-related query or not. """ if content_related: result = self._sequence * 2 + 1 self._sequence += 1 return result else: return self._sequence * 2