import io import logging import struct from .mtprotostate import MTProtoState from ..tl import TLRequest from ..tl.core.messagecontainer import MessageContainer __log__ = logging.getLogger(__name__) class MTProtoLayer: """ This class is the message encryption layer between the methods defined in the schema and the response objects. It also holds the necessary state necessary for this encryption to happen. The `connection` parameter is through which these messages will be sent and received. The `auth_key` must be a valid authorization key which will be used to encrypt these messages. This class is not responsible for generating them. """ def __init__(self, connection, auth_key): self._connection = connection self._state = MTProtoState(auth_key) def connect(self, timeout=None): """ Wrapper for ``self._connection.connect()``. """ return self._connection.connect(timeout=timeout) def disconnect(self): """ Wrapper for ``self._connection.disconnect()``. """ self._connection.disconnect() def reset_state(self): self._state = MTProtoState(self._state.auth_key) async def send(self, state_list): """ The list of `RequestState` that will be sent. They will be updated with their new message and container IDs. Nested lists imply an order is required for the messages in them. Message containers will be used if there is more than one item. """ data = self._pack_state_list(state_list) await self._connection.send(self._state.encrypt_message_data(data)) async def recv(self): """ Reads a single message from the network, decrypts it and returns it. """ body = await self._connection.recv() return self._state.decrypt_message_data(body) def _pack_state_list(self, state_list): """ The list of `RequestState` that will be sent. They will be updated with their new message and container IDs. Packs all their serialized data into a message (possibly nested inside another message and message container) and returns the serialized message data. """ # TODO This method could be an iterator yielding messages while small # respecting the ``MessageContainer.MAXIMUM_SIZE`` limit. # # Note that the simplest case is writing a single query data into # a message, and returning the message data and ID. For efficiency # purposes this method supports more than one message and automatically # uses containers if deemed necessary. # # Technically the message and message container classes could be used # to store and serialize the data. However, to keep the context local # and relevant to the only place where such feature is actually used, # this is not done. n = 0 buffer = io.BytesIO() for state in state_list: if not isinstance(state, list): n += 1 state.msg_id = self._state.write_data_as_message( buffer, state.data, isinstance(state.request, TLRequest)) __log__.debug('Assigned msg_id = %d to %s (%x)', state.msg_id, state.request.__class__.__name__, id(state.request)) else: last_id = None for s in state: n += 1 last_id = s.msg_id = self._state.write_data_as_message( buffer, s.data, isinstance(s.request, TLRequest), after_id=last_id) __log__.debug('Assigned msg_id = %d to %s (%x)', s.msg_id, s.request.__class__.__name__, id(s.request)) if n > 1: # Inlined code to pack several messages into a container # # TODO This part and encrypting data prepend a few bytes but # force a potentially large payload to be appended, which # may be expensive. Can we do better? data = struct.pack( '