diff options
Diffstat (limited to 'synapse/replication/tcp/streams/events.py')
| -rw-r--r-- | synapse/replication/tcp/streams/events.py | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/synapse/replication/tcp/streams/events.py b/synapse/replication/tcp/streams/events.py index e7e87bac92..a030e9299e 100644 --- a/synapse/replication/tcp/streams/events.py +++ b/synapse/replication/tcp/streams/events.py @@ -65,7 +65,7 @@ class BaseEventsStreamRow: """ # Unique string that ids the type. Must be overridden in sub classes. - TypeId = None # type: str + TypeId: str @classmethod def from_data(cls, data): @@ -103,10 +103,10 @@ class EventsStreamCurrentStateRow(BaseEventsStreamRow): event_id = attr.ib() # str, optional -_EventRows = ( +_EventRows: Tuple[Type[BaseEventsStreamRow], ...] = ( EventsStreamEventRow, EventsStreamCurrentStateRow, -) # type: Tuple[Type[BaseEventsStreamRow], ...] +) TypeToRow = {Row.TypeId: Row for Row in _EventRows} @@ -157,9 +157,9 @@ class EventsStream(Stream): # now we fetch up to that many rows from the events table - event_rows = await self._store.get_all_new_forward_event_rows( + event_rows: List[Tuple] = await self._store.get_all_new_forward_event_rows( instance_name, from_token, current_token, target_row_count - ) # type: List[Tuple] + ) # we rely on get_all_new_forward_event_rows strictly honouring the limit, so # that we know it is safe to just take upper_limit = event_rows[-1][0]. @@ -172,7 +172,7 @@ class EventsStream(Stream): if len(event_rows) == target_row_count: limited = True - upper_limit = event_rows[-1][0] # type: int + upper_limit: int = event_rows[-1][0] else: limited = False upper_limit = current_token @@ -191,30 +191,30 @@ class EventsStream(Stream): # finally, fetch the ex-outliers rows. We assume there are few enough of these # not to bother with the limit. - ex_outliers_rows = await self._store.get_ex_outlier_stream_rows( + ex_outliers_rows: List[Tuple] = await self._store.get_ex_outlier_stream_rows( instance_name, from_token, upper_limit - ) # type: List[Tuple] + ) # we now need to turn the raw database rows returned into tuples suitable # for the replication protocol (basically, we add an identifier to # distinguish the row type). At the same time, we can limit the event_rows # to the max stream_id from state_rows. - event_updates = ( + event_updates: Iterable[Tuple[int, Tuple]] = ( (stream_id, (EventsStreamEventRow.TypeId, rest)) for (stream_id, *rest) in event_rows if stream_id <= upper_limit - ) # type: Iterable[Tuple[int, Tuple]] + ) - state_updates = ( + state_updates: Iterable[Tuple[int, Tuple]] = ( (stream_id, (EventsStreamCurrentStateRow.TypeId, rest)) for (stream_id, *rest) in state_rows - ) # type: Iterable[Tuple[int, Tuple]] + ) - ex_outliers_updates = ( + ex_outliers_updates: Iterable[Tuple[int, Tuple]] = ( (stream_id, (EventsStreamEventRow.TypeId, rest)) for (stream_id, *rest) in ex_outliers_rows - ) # type: Iterable[Tuple[int, Tuple]] + ) # we need to return a sorted list, so merge them together. updates = list(heapq.merge(event_updates, state_updates, ex_outliers_updates)) |