Update in-memory updates.State

This commit is contained in:
Lonami Exo 2018-06-20 19:48:00 +02:00
parent 4ab5c7d92d
commit a1477a84bf
3 changed files with 23 additions and 7 deletions

View File

@ -92,6 +92,9 @@ class DialogMethods(UserMethods):
if peer_id not in seen:
seen.add(peer_id)
cd = custom.Dialog(self, d, entities, messages)
if cd.dialog.pts:
self._channel_pts[cd.id] = cd.dialog.pts
if not ignore_migrated or getattr(
cd.entity, 'migrated_to', None) is None:
await yield_(cd)

View File

@ -13,7 +13,7 @@ from ..extensions import markdown
from ..network import MTProtoSender, ConnectionTcpFull
from ..network.mtprotostate import MTProtoState
from ..sessions import Session, SQLiteSession
from ..tl import TLObject, functions
from ..tl import TLObject, functions, types
from ..tl.alltlobjects import LAYER
DEFAULT_DC_ID = 4
@ -219,9 +219,10 @@ class TelegramBaseClient(abc.ABC):
self._last_ping = datetime.now()
self._ping_delay = timedelta(minutes=1)
self._state = None
self._updates_handle = None
self._last_request = time.time()
self._channel_pts = {}
self._state = types.updates.State(0, 0, datetime.now(), 0, -1)
# Some further state for subclasses
self._event_builders = []

View File

@ -175,13 +175,25 @@ class UpdateMethods(UserMethods):
itertools.chain(update.users, update.chats)}
for u in update.updates:
u._entities = entities
self._loop.create_task(self._dispatch_update(u))
return
self._handle_update(u)
if isinstance(update, types.UpdateShort):
update = update.update
update._entities = {}
self._handle_update(update.update)
else:
update._entities = getattr(update, '_entities', {})
self._loop.create_task(self._dispatch_update(update))
need_diff = False
if hasattr(update, 'pts'):
if self._state.pts and (update.pts - self._state.pts) > 1:
need_diff = True
self._state.pts = update.pts
if hasattr(update, 'date'):
self._state.date = update.date
if hasattr(update, 'seq'):
self._state.seq = update.seq
# TODO make use of need_diff
async def _update_loop(self):
# Pings' ID don't really need to be secure, just "random"
rnd = lambda: random.randrange(-2**63, 2**63)